VOLUME 10, ISSUE 5, MAY 2023

Abstract: In this study, With the increase and spread of the severe extreme respiratory disease coronavirus 2, or 2019 novel coronavirus (2019-nCoV), there are new general health crises endangering the entire world (SARS-CoV-2). People have been afflicted with the Covid-19 illness as a result of its global spread. Other than the lack of specific therapy and vaccination, covid19 are known to exhibit a significant degree of ecological resilience. The infection was thought to pass from person to person, making an epidemic easily manageable. Droplets from breathing or sneezing that are infected cause the virus to propagate. Even in the air, these droplets can continue to exist on inert surfaces and spread illness to people. When faced with the requirement for a specific antimicrobial therapy, developing novel methods to stop the proliferation of infections is fundamental. The goal of this study is to create a spray decontamination system to fight the coronavirus (covid-19) using automation technology that utilizes the Internet of Factors. Besides that, a sprayer with a gas fluid incidental mix structure has been constructed to combat the issue of long-lasting splashier. The design includes an optical monitor for watching the sprinkling process. This foundation has been used to evaluate the robot's efficiency. The technology as it is now can clean a large area with little assistance from humans and in a shorter amount of time.

Keywords: Arduino Uno, Gear Motor, Wheel, Motor Driver, Bluetooth module, Servo motor, Wi-Fi camera, Battery (8 volt), Power bank (5 volt).

Abstract: In this study, PCM based on paraffin's adhered to a silica-based matrix appear to be a suitable option in the search for techniques for incorporating Phase Change Materials (PCM) into Portland cement mortar mixtures. When water is added, though, paraffin particles have been seen to elude the silica matrix. There is a paucity of information on how the use of such PCM impacts mortar behavior. Portland mortar mixtures with 15%, 20%, 25% and 30% PCM content were developed using Portland cement in order to assess the impact of this PCM addition. Both fresh and dry samples were examined for physical characteristics like concentration, accessible pore volume, relative density, and water absorption. According to the results, more cement and water are needed in the PCM-Silica added mixtures compared to regular mortar mixtures to achieve comparable compressive strengths & flexural strength. Here is 20% PCM mixtures had a highest tensile strength of 13.45 MPa, whereas 25% PCM mixtures had values 10.99 MPa. As a result, the proposed study broadens our knowledge of PCM cement mortar mixture behavior and proportioning.

Keywords: Cement-Based Materials, PCM, Thermal Conductivity, Paraffin, Silica.

Abstract: Steroidal hormones process from gonadal maturation of scalloped spiny lobster (Panulirus homarus) not established due to undeveloped practice of hatchery technology. Two steroid hormones i.e. estran and androst were elucidated previously and involved on gonadal maturation of scalloped spiny lobster. This study aimed to identified and evaluate role of cholesterol as raw material of estran and androst hormones. Eighteen individuals of immature and mature female scalloped spiny lobster gonads were used and analysed with pyrolysis gas chromatography mass spectrometry (py-GCMS). Results found that cholesta-8,24-dien-3-ol, 4-methyl-3ß-4α (C28H46O) with molecular weight 368 assumed as raw materials for estran and androst hormones. Scalloped spiny lobster may process the enzymatic systems that able to catalysed the bioconversion of cholesta-8,24-dien-3-ol, 4-methyl-3ß-4α to estran and androst hormones.

Keywords: bioconversion, cholesterol, pyrolysis GC-MS, spiny lobster, steroid hormone

Abstract: Global resource supply chains connect dissimilar locations and economies by transporting goods like fish, rice, and minerals from producers to consumers worldwide. Although these supply chains are more sensitive to the effects of a changing environment, the study of the production phase pays little attention to them. Too frequently, businesses discover if and how their supply chains can resist and recover from climate shocks via experience, with little knowledge of how to proactively design supply networks that are climate resilient. Hence, using a network-based modeling technique, this study evaluates supply chain resilience, specifically the interruption encountered during severe climate-related events. This study examines supply chain examples from the food processing, agricultural, and mining sectors of America's resource industries, all of which have recently been impacted by climate shocks. For each industry, we create four supply chain indices to measure how well simple and complicated supply chains perform based on evenness, resilience, continuity, and climate resilience. It demonstrates that complex supply networks with many nodes and linkages are more robust to interruption than natural systems. Importantly, if climatic shocks increase in frequency, all chains, regardless of their complexity, will lose resilience. This emphasizes how crucial it is to take into account the larger economic advantages of varied chains, which may reduce risk and enhance the design after a disruption. It also highlights the value of a systems approach to risk management in supply chains, especially when taking into account adaptation options for dealing with direct and indirect consequences on the chain as well as the global problem of lowering greenhouse gas emissions.

Keywords: Gas Emission, Precipitation, Climate Resilience, Supply chain, network-based

Abstract: Cervical cancer is a major public health problem affecting women worldwide. Early diagnosis and treatment of cervical cancer can greatly improve patient outcomes. Machine learning methods can increase the accuracy and efficiency of cervical cancer diagnosis. This project aims to improve the diagnosis of cervical cancer using several machine learning algorithms, including CatBoost, SVM, logistic regression, decision trees, and Naive Bayes classification. We collect and pre-process patient information related to cervical cancer, such as medical records, examination results and biopsy reports. Train and evaluate each machine learning algorithm on your data and compare their performance. The results of this project will help determine which machine learning algorithms are most effective in improving the diagnosis of cervical cancer. This project has the potential to contribute to the development of more accurate and effective tools for the diagnosis of cervical cancer.

Keywords: CatBoost, SVM, Logistic Regression, Decision Tree.

Abstract: Every year, over 900,000 individuals worldwide are diagnosed with Leukemia, i.e., Blood Cancer, but many people are oblivious of the dangers involved with such often incurable diseases. The majority of Blood Cancers are rare, life-threatening illnesses within limited patient populations; together, they account for 7% of all malignancies. Patients may feel abandoned and have difficulty finding the necessary assistance and information due to the complex, often sparse nature of Leukemia. When it comes to Acute Leukemia, if therapy is not started on time, the patient might succumb to the ailment within a few months. It is vital to diagnose Cancer be it of any type, in its early stages to ensure timely treatment and increase chances of survival. Detecting Leukemia manually in labs by medical personnel examining blood samples is a time and resource-consuming procedure. Customarily, the patients suffering do not have the liberty to exhaust their time as they need immediate care. We need systems that can make use of the latest technological developments in artificial intelligence to produce expeditious and more accurate results.

Keywords: Convolutional Neural Network, Support Vector Machine (SVM), Image Processing, neural networks, decision trees.

Abstract: Anomaly detection in time series data is a critical task with numerous applications across various domains. This study presents a comprehensive empirical review that explores the methodologies, evaluation metrics, benchmark datasets, novel techniques, and real-world case studies in anomaly detection. The study begins by examining the different methodologies employed in anomaly detection, including statistical-based methods, machine learning-based approaches, and deep learning-based techniques. Evaluation metrics such as precision, Recall, F1-score, ROC curve, and AUC are discussed, along with commonly used benchmark datasets that serve as standards for evaluating anomaly detection algorithms. Novel techniques and algorithms for anomaly detection in time series data are critically analyzed, including time series decomposition and reconstruction methods, transfer learning and domain adaptation techniques, online and streaming anomaly detection approaches, and ensemble methods. These techniques' strengths, limitations, and potential applications are discussed in detail. Real-world case studies showcase the practical applications of anomaly detection in different domains. These case studies include anomaly detection in network traffic data, energy consumption patterns, and medical sensor data. The mathematical approaches and algorithms employed in these case studies are examined to provide insights into the specific methodologies used for anomaly detection. Future research directions and challenges in anomaly detection are discussed, highlighting the importance of explainable AI and interpretable models, incorporating domain knowledge and context awareness, privacy-preserving techniques, and integrating anomaly detection with other data analysis techniques. This empirical review contributes to the field by comprehensively analyzing anomaly detection techniques in time series data. The study's findings offer valuable insights into the strengths and limitations of different methodologies and highlight emerging trends in the field. Furthermore, future research directions and challenges provide a roadmap for advancing anomaly detection in time series data analysis.

Keywords: anomaly detection; time series; cybersecurity; neural network; machine learning

Abstract: This paper presents a Python programming for monitoring and controlling of Solar power plant. In the hilly areas SCADA system is used for monitoring of Solar power plant instead of that we are using raspberry pi. It is essential to frequently monitor the solar panels to ensure optimum operation and a longer lifespan for the solar system. The solar potential of a photovoltaic (PV) system can be maximised by a clever monitoring and regulation system. The monitoring system has quickly gained acceptance due to its user-friendly graphical interface for data monitoring and measuring. In order to track the operation of the installed system, particularly for applications using renewable energy sources like solar photovoltaic (PV), data- acquisition systems were utilised to collect all the information about the system. In this study, we analysed solar plant architecture and talked about solar plant monitoring systems

Abstract: The world's population is rapidly growing and as a result, there is a scarcity of available land for development. In order to accommodate more people in a compact space, there is now a need for vertical development and architecture, which involves constructing structures that are taller and slenderer. Taller structures create a challenge since they must be more stable and resistant to seismic and wind effects, which are more dominant on them. A passive control device system called Clutching Inerter Damper (C.I.D.) is a unique device that can reduce these vibrations and are used as a vibration-controlling tool to safeguard tall buildings during earthquakes. The tool can control motion since it is made up of a clutch mechanism and a rotary inerter. This paper offers a thorough analysis of this unique device's operation and its operating principles and provides a full assessment of the prior research done on it. The study concludes with a comparison of the responses obtained using this device and those obtained using prior studies when applied to a multi-degree of freedom (MDOF) system under seismic excitation. Response reduction in terms of % has been established to provide the effectiveness of the C.I.D. According to the study's findings, the C.I.D. system improves the seismic stability of the building and exhibits special benefits in moderating the resonant response because of the C.I.D.'s mass magnification effect generated by inertance.

Keywords: Clutching inerter damper, vibration control, seismic, resonant response, tall buildings, multi-degree of freedom.

Abstract: The foundry industry generates a considerable amount of dust and particulate matter during various manufacturing processes, such as casting, molding, and sanding. These particulates can be harmful to the environment and pose a health hazard to workers. In this study, a cyclone dust collector was designed and developed to capture and remove the dust generated in the foundry. The cyclone dust collector was designed based on the principles of centrifugal force and was fabricated using mild steel sheets. The collector was equipped with an inlet duct, a cyclone chamber, and an outlet duct, and was installed in a foundry to evaluate its performance. The collected dust The results showed that the cyclone dust collector was able to effectively capture and remove the dust generated in the foundry. The collected dust was also found to be non-hazardous, and can be safely disposed of in a landfill. The developed cyclone dust collector can provide a cost-effective and efficient solution for dust collection in foundries, thereby reducing the health risks associated with the exposure to dust and particulate matter. The design can also be modified and scaled up for use in larger industrial settings.

Keywords: Dust collector, Air pollution control, Cyclone, Abrasive.

Abstract: This paper discusses sustainable agricultural practices and environmental protection in Udaipur district, India. The study uses a combination of quantitative and qualitative methods to collect data from primary and secondary sources. The data was analysed using descriptive statistics and content analysis. The study found that sustainable agricultural practices are being implemented in the district, including the use of organic and natural fertilizers, crop rotation, conservation tillage, and water-efficient irrigation systems. However, challenges to achieving sustainable agriculture and environmental protection still exist, such as limited access to funding and technology, lack of awareness among farmers, and inadequate government policies and regulations. The study indicates that farmers in Udaipur district are aware of the importance of sustainable agriculture and environmental protection, with most using organic manure and green manure in their fields. The study highlights the need for a comprehensive and integrated approach to sustainable agriculture and environmental protection linked to broader development objectives, including poverty reduction, food security, and climate change mitigation. Overall, the results indicate that sustainable agriculture practices and environmental protection have a positive impact on crop production, soil health and water quality in Udaipur district. Agriculture is the backbone of the Indian economy. The paper begins by discussing the concept of sustainable agriculture and its importance in environmental protection. It then examines the current agricultural practices in Udaipur district and identifies the challenges faced by farmers. Finally, the paper suggests strategies to promote sustainable agriculture and environment protection in the district. The paper is based on a review of literature and interviews with farmers, agricultural experts, and government officials.

Keywords: Sustainable, Environment protection, Udaipur, Management Practices, Policies

Abstract: The dynamic behaviour of structures is influenced by their fundamental frequency and the level of damping exhibited by each mode of vibration. The fundamental frequencies of a building significantly affect its response under dynamic load. Experimental studies can be conducted to predict the actual behavior of real structures, which have the advantage of explaining theoretical concepts and calibrating analytical models. In this study, an experimental investigation was conducted on a 3-story and 4-story aluminum building model with symmetric configurations. The model was subjected to harmonic and seismic excitation using a servo shake table to evaluate the different responses such as displacement of the Shear wall and base isolator. The software was also used to perform time history response analysis and compare the results with those obtained from the shake table. The experimental results showed that the structural responses could be minimized using the Shear wall and base isolator.

Keywords: Experimental Model, Servo Shake Table, Isolators, Displacement

Abstract: Tall structures are now a days very popular because of land acquisition problems. A connected tall building generally refers to a skyscraper or high-rise building that is physically connected to one or more adjacent buildings, either through bridges or other structural elements. It gives enhancement of structural performance under lateral loads and also gives horizontal connectivity for users. To control the lateral displacement of a tall structure, various lateral load resisting system and vibration control system need to be adopted. In this paper, tall building with Shear Wall system, and Linear Viscous Damper are compared. Models of 25-storied connected tall buildings is studied with different location of sky bridges and dampers. The buildings are analysed by linear time history analysis, response spectrum analysis and wind analysis and the optimum solution have been derived for better performance of building. It has been observed that the structures connected with Sky Bridge and dampers are found to be more effective in reducing various responses like displacement, acceleration, storey drift etc. Keywords - Connected Tall Building, Shear Wall, Bracing, Damper, Earthquake, Wind

Abstract: The use of floating concrete in construction works has been growing rapidly in recent years due to its advantages over ordinary concrete. In this study, pumice powder is recommended as the best aggregate instead of ordinary concrete. The main purpose of structural grade floating concrete is to reduce weight and erect large precast units. It is possible to make floating concrete using pumice with a dry density of 1200 kg/m3 up to 1450 kg/m3. Slump and compression factor test showed that addition of teak sawdust reduced the workability compared to conventional concrete. Fine aggregate dust instead of sawdust gives the properties and advantages of actual production of concrete. The experimental work was conducted in two phases; In the first step, the appropriate input ratio for the binary aggregates was determined through a trial mix and test procedures.

Keywords: Cement, Robotics, Design and production

Abstract: Healthcare is given the extreme importance now a days by each country with the advent of the novel corona virus. So in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. In this paper, a portable physiological checking framework is displayed, which can constantly screen the patient's ECG, heartbeat, temperature, oxygen levels. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information's in server utilizing Wi-Fi Module based remote correspondence. A remote health monitoring system using IoT is proposed where the authorized person can access these data stored using any IoT platform like Thing-speak mobile application and based on these values received, the vitals are monitored and analysed by the doctors from a distance.

Keywords: Sensors , AD8232, LM35, ECG, Waveforms.

Abstract: Mogarkasa forest area is a conservation reserve area declared by the State Government on 10/10/2022. The Mogarkasa Conservation reserve area is spread over an area of ​​103.92 square meters and is rich in biodiversity. Mogarkasa CR is formed from the reserve forest and protected forest area of Mogarkasa Conservation Reserve falls in Paoni Range (Ramtek Taluka) of the Nagpur Forest Division (Territorial and FDCM) and Lendezari and Jamkandri ranges of Bhandra Forest Division. The present study carried out in Mogarkasa CR to study exploration, identification, documentation, ethnobotanical importance and to know the forest food biodiversity with respect to food value of wild edible plants used by the local peoples of fringed villages around Mogarkasa CR. The results revealed that, about 91 wild species are found as WEP's.This study helps to the forest department for preparation of management plan and execution of plan for management of Mogarkasa Conservation Reserve.

Keywords: Mogarkasa Conservation Reserve, Wild edible, Ethnobotany, Nagpur

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Guardian Gadget – Human Safety Device DR. CHANDA V REDDY , SABARISH.I.J , SAMIKSHA.S , SATHVIK.U.M , SWAGATH AITHAL.P.G Abstract- ln the present-day scenes human safety is considered to be the major problem in both urban and rural areas. Human safety is a very important issue due to rising crimes against human these days. To help resolve this issue we propose a human safety system that provides self-defense and also consist of a device with salient features. This device consists of a system that ensures alerts in case a human is harassed or the person thinks they are in trouble. Also, we have a watch which has a camera which captures the image for surveillance. We are also working on an Android application that will serve as a backup for the device and will make use of the mobile's built-in features. Keywords-Human Safety, Self-defense, GPS, GSM, Watch, Application. Downloads: | DOI: 10.17148/ IARJSET.2023.10517 How to Cite: [1] DR. CHANDA V REDDY , SABARISH.I.J , SAMIKSHA.S , SATHVIK.U.M , SWAGATH AITHAL.P.G, "Guardian Gadget – Human Safety Device," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/ IARJSET.2023.10517 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: Mass production lowers the unit price for high productivity and makes it compatible and easy to assemble. This can be achieved by using a device. The device is equipped with tool guide elements such as drill bushings. This project attempts to design and optimize a drill jig for a variety of factors to perform a practical analysis of automated parts. The project also demonstrates modal and static structural analysis of drilling jigs. For drilling operations at different angles and positions, such devices are designed for accurate and accurate drilling operations. Drill jigs increase productivity by eliminating the need for individual positioning, marking and frequent checks. The device itself also takes over the task of locating, clamping, and guiding the tool, reducing the number of iterations required when drilling.

Abstract: This paper focuses on the design of control logics for islanding schemes for three thermal power stations in Rajasthan, India. Islanding occurs when a power plant is isolated from the main utility grid, and this research seeks to design an algorithm for control logics for islanding schemes, develop a load-shedding scheme to stabilize the power system, and investigate planned islanding on rural feeders with multiple distributed generation units. The paper begins by defining islanding and its importance in ensuring uninterrupted power supply during grid disturbances. The research reviews various techniques used for the detection and classification of islanding events, including deep learning, wavelet transform, and fuzzy logic, highlighting the significant research activity in this area. The proposed control logics are based on the concept of decreasing frequency due to heavy load and low generation, and at a pre-determined frequency, boundary transmission lines will trip, and local loads will be fed from the local generator. Under-frequency relays are used to sense major grid disturbances and initiate load scheduling prior to islanding. The design of islanding schemes and load flow studies are also discussed to find balance between loads and generation. The research shows that islanding can offer advantages such as uninterrupted power supply in the island during grid disturbances and easier restoration of the island compared to the whole system from a blackout. Therefore, the development of effective islanding control logics is crucial for ensuring reliable and stable power supply. This study presents a comprehensive study of the design of control logics for islanding schemes for thermal power stations in Rajasthan. The proposed algorithm and load-shedding scheme provide a practical approach for ensuring stable power supply during grid disturbances, while the investigation of planned islanding on rural feeders with multiple distributed generation units offers valuable insights into the feasibility of implementing such schemes in similar contexts

Abstract: Confined masonry is found to be a better alternative for sustainable housing in seismic-prone regions of India. This paper presents a comprehensive review comparing the seismic performance and construction methods of confined and unreinforced masonry walls. Confined masonry construction is a viable alternative for safe and economical construction in seismic areas and this paper discusses various aspects of it. Also presents a review of the design and construction guidelines for confined masonry buildings which are developed by the Confined Masonry Network. This review is to analyze and compare the earthquake resistance of confined masonry walls and distribution methodology for seismic design forces to different members of confined masonry like tie-columns, which add to structural strength. The review also provides the ductile behavior of confined masonry buildings in seismic areas. This paper presents a review of the test results which are carried out to study the seismic behavior of confined walls constructed from a single wythe of masonry units and the performance of concrete tie-beams and tie-columns and to develop a method for modeling the seismic behavior of confined masonry walls of trilinear models also.

Keywords: confined masonry, seismic behavior, confined walls, tie-column, masonry wall, reinforced masonry, brick wall ductility, seismic design

Abstract: Potholes on pavement is the most common type of pavement failure, many research on enhancement of pavements resistance to developing potholes is being conducted since decades, yet the problem has not been completely tackled. Potholes typically develop as a result of the natural wear and tear on paved surfaces, such as roads and parking lots, over time. The development of potholes is accelerated by various factors such as weather conditions, heavy traffic, and the quality of the pavement material and construction. IRC 116: 2014 is the Indian Road Congress (IRC) code that outlines the standards and specifications for the construction and maintenance of roads and highways in India. It covers all aspects of road design, construction, and maintenance, including the repair of potholes. Pavement can be protected from potholes by regular maintenance, avoiding heavy vehicles, adequate drainage and using good quality materials. However the problem of potholes is very regular on Indian roads and that is due to improper design, quality of materials, lack of maintenance and inadequate drainage.

Keywords: Potholes prevention and repair, New materials, Sustainability

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Parametric Analysis of Tall Structures with Pentagrid Lateral Load Resisting System Bhadresh. L. Katara , Vishal. B. Patel , Vimlesh. N. Agrawal Abstract - In The Modern Age, Architects And Engineers Are Developing Cities Vertically Due To The Decrease In Availability Of Free Land, Increase In Land Prices, And The Widespread Urbanization. However, There Are Practical Constraints To Bound The Vertical Limits Of Skyscrapers. Therefore, It Is Essential For Architecture And Structural Engineering To Understand The Study Of Structural Systems For Tall Buildings. This Paper Focuses On A Parametric Study Of Tall Structures With A Pentagrid Structural System. The Pentagrid Is An Exterior Structural System That Resists Lateral Forces Through Axial Actions Of Diagonals Provided In The Periphery. The Study Analyzes Five Steel Buildings Of Typical Plan Area, Including All Loads. The Buildings With 24,48,72, And 96 Storeys Are Analyzed For Modules Of 4, 6, 8, And 12 Pentagrid Modules In The Plan Using Staad.Pro Software. The Present Study Considers Parameters Such As Fundamental Time Period, Maximum Story Displacement, Maximum Storey Drift, And Maximum Base Shear. . Keywords - Tall buildings, Pentagrid system, Tall buildings in India, Conventional frame system, lateral loads, Optimum design, Parametric Study, STAAD.Pro Downloads: | DOI: 10.17148/ IARJSET.2023.10522 How to Cite: [1] Bhadresh. L. Katara , Vishal. B. Patel , Vimlesh. N. Agrawal, "Parametric Analysis of Tall Structures with Pentagrid Lateral Load Resisting System," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/ IARJSET.2023.10522 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: The film industry has faced challenges with unauthorized reproduction and distribution of movies. To combat this issue, we propose an innovative system that employs IP cameras, Python, and a regular computer to detect instances of piracy in real-time and inform the relevant parties. Our solution uses a specialized object detection model trained with a set of images of the item to be detected, particularly mobile phones, which are associated with piracy. We utilized the YOLOv5 repository to construct the model, which can provide precise bounding box data to indicate the object's exact location in the frame. Additionally, the system includes a mail service that notifies the theater owner or other authorized individuals of piracy occurrences and provides them with an image of the incident. This allows them to take prompt action. The system operates in real-time and can monitor live feeds from multiple cameras at once to detect any piracy instances immediately.

Keywords: MoviePiracy, Yolov5, IP camera.

Abstract: The development and properties of light transmitting concrete (LiTraCon), which incorporates optical fibers into concrete for aesthetic and practical purposes. The papers explore various aspects of LiTraCon, including its production, strength characteristics, and potential applications in construction and design. The results show that the compressive strength of LiTraCon is similar to that of conventional concrete, and the transparency of concrete structures can be achieved with the insertion of optical fibers without compromising strength. Additionally, the use of eco-friendly materials in the production of LiTraCon has been explored, and smart transparent concrete has been developed for energy-saving and safety evaluation purposes. The studies suggest that LiTraCon is an emerging trend in concrete technology that offers future benefits in modern architecture.

Keywords: Aesthetic, Compressive strength, Energy saving, Light transmitting concrete, Optical fibers

Abstract: Thyroid gland's ability to perform its functions is impacted by thyroid illness. Thyroid disease often comes in one of two forms: i) Hypothyroidism, which is characterised by (low function) and is brought on by insufficient thyroid hormones. ii) Overproduction of thyroid hormones, which results in hyperthyroidism (high function). Hypothyroidism can causeconstipation, dry skin, slow heartbeat, low energy, weight gain, inability to withstand the cold, and weariness. The signs of hyperthyroidism include irritability, weight loss, a rapid heartbeat, heat sensitivity, diarrhoea, and thyroid enlargement. A portion of the neck may bulge, a condition known as a goiter , in both hypothyroidism and hyperthyroidism. The objective of this work is to create a low-cost smart sensing device that can measure the relative skin temperature, heart rate, and pulse of a human using a non-invasive technique for thyroid detection. It makes use of two separate sensors, one of which measures the patient's heartbeat, pulse rate and the other of which measures the relative difference in skin temperature. The variance detected by the sensors will be processed by the microcontroller. In this work, a heartbeat and pulse rate monitor built on an Arduino ide is used to count heartbeats per minute. Here, a Max30100 sensor is being operated, and when a finger is placed on it, it detects the heartbeat and pulse. This thyroid-detection method uses no pain or force.

Keywords: Relative skin temperature variation, Heartbeat monitor, pulse

Abstract: Text-to-image generation is a type of generative modelling where a machine learning model is trained to generate realistic images from textual descriptions. This involves encoding textual descriptions into a latent space representation and then decoding the latent representation into an image. The goal is to generate images that are not only visually realistic but also semantically coherent with the input text. Text-to-image generation has many applications, such as creating virtual environments, generating product images for e-commerce, and aiding in creative tasks such as graphic design and art. However, it is still an active research area with many challenges, such as handling the high dimensionality of images, capturing fine-grained details, and ensuring that generated images are diverse and plausible.

Keywords: Generative Adversarial Networks (GANs), Image Synthesis, Image to Image translation, AI Glide.

Abstract: The Oxford Dictionary defines a face as the part of a person's head from the forehead to the chin or the corresponding part of an animal. In human interactions, the face is the most significant factor because it contains important information about an individual. All humans will acknowledge people from their faces. The proposed solution is to develop an operating prototype of a system that may facilitate class attendance management for the lecturers within the lecture rooms by detecting the faces of scholars from an image taken in a classroom.

Keywords: Deep Learning, face detection, preprocessing, tktools, numpy, matplotlib.

Abstract: Since the start, lead-acid batteries have been developed for more than 100 years. Lead-acid battery have good high-low temperature tolerance and high-current discharge performance, low-cost electrode materials, loose the assembly environment, mature charging mechanism and high security have an absolute advantage in the communications and UPS power industry, the automotive industry, industrial and mining enterprises and weapon systems. However, as a rechargeable battery, lead-acid batteries are countered with problems such as difficulty in estimating battery power, short life, and difficulty in balancing battery packs., the battery management system has become the focus of technology research and development in the battery industry. With the rising demand in the EV industry, there is a drastic demand for an efficient battery management system. In India we can see an exponential increase in the number of electric rickshaws which use Lead Acid battery instead of the using a more efficient lithium-ion battery. hence it is important to build a battery monitoring and management system for lead acid battery.

Abstract: Large picture datasets are now possible thanks to developments in image capturing and data storage. In this case, it's essential to create the right information systems to manage these collections effectively. The method in question is known as a content-based picture retrieval system. In essence, these systems attempt to find images that match a user-defined standard or pattern (for example, a form drawing or a mage example). Their objective is to facilitate picture retrieval based on feature vectors that are often stored with content qualities (such as form, colour, and texture). The ability to perform automatic retrieval instead of the extra keyword-based technique, which typically necessitates very hard and time-consuming earlier annotation of database photos, is one of the main benefits of the Content Based Image Retrieval (CBIR) approach. Applications of the CBIR technology include fingerprint identification, biodiversity information systems, digital libraries, crime prevention, medical, and historical research. This project intends to highlight the state of the art of the current research in this field, define the problems and challenges related to the response of CBIR systems, and describe the existing solutions and applications.

Keywords: Deep Learning, Content Based Image Retrieval, Keras, TensorFlow.

Abstract: Street lights play an essential role in ensuring the safety of any neighbourhood. Possessing proper functioning street lights is a sign of a well-maintained and safe neighbourhood. On the other hand, street lights are one of the significant power-consuming systems in our country. More innovations can be adopted into the traditional street lighting system. One of the ways to implement efficient power consumption is by incorporating the Internet of Things (IoT) and automation into street lighting systems. The proposed model is a combination of both efficient power generation and smart power consumption. By detecting the presence of people or vehicles, the street lights are made to glow at maximum brightness to minimize energy consumption. Thus, power consumption can be reduced by turning off the lights automatically, when there's no vehicle crossing by. In short, the street lights are controlled based on the traffic density. This paper also proposes the usage of renewable energy sources instead of conventional energy sources. Being environment friendly and a great relief to the problems overcome by excess power consumption, solar street lights are a major benefit for the society.

Keywords: Solar energy, Street Light, Light Sensing, Solar Panel, LDR (Light Dependent Resistor), IR (infra-red) sensors.

Abstract: This paper presents the design and manufacture the instrument which can measure geometrical parameters (length, width, height) of component without using traditional or current measuring techniques. This instrument has various advantages over the traditional measuring instruments. It has less number of moving parts and requires less physical efforts to operate it. The instrument consists of most crucial part known as ultrasonic sensor, LED display, a circuit which is used to control the various components known as Arduino and set of wires. The measurement of the component is calculated by the total time taken from sending the waves and receiving it with respect to the velocity of sound. The calculation is done by an algorithm generated in the microcontroller and displays it on LCD screen.

Keywords: Ultrasonic Sensor, Measuring techniques, Arduino, LED display, Measuring instrument

Abstract: One of the leading causes of cancer-related deaths globally is brain tumors. The categorization of brain tumors is a challenging scientific problem. Brain tumors come in a wide range of sizes, shapes, and intensities. It's possible for tumors from different pathological classifications to look similar. Brain tumors can be classified and diagnosed using a variety of imaging methods. Fortunately, due to its superior image quality and lack of ionizing radiation, Magnetic Resonance Imaging (MRI) is frequently used. Recent developments in deep learning have made it possible for radiologists to quickly analyse medical images using artificial intelligence (AI) techniques. In order to classify various types of brain tumors, CNN models can assist physicians and radiologists in validating their initial screening.

Keywords: Convolutional neural network , Machine learning ,Grid search, Hyper-parameter optimization, Tumor grading.

Abstract: Monitoring paper-based tests is critical to ensuring the integrity and impartiality of the testing process. This study presents a system for monitoring paper-based exams that makes use of modern technology to automate and streamline the monitoring process. The suggested system uses cameras and software to gather and analyse video footage of the test room, detect any suspicious behaviour, and inform the exam proctor. The system also includes facilities for tracking the movement of exam papers, detecting abnormalities in the exam papers, and detecting any attempts to cheat. This paper examines the design and implementation of the suggested system, as well as its potential benefits for improving the monitoring of offline exams.

Keywords: Object recognition, Object tracking, Object segmentation, Feature extraction, Face Recognition, YOLO, Image Classification.

Abstract: Due to the widespread use of the Internet, integration services have steadily transformed how people live their daily lives, including how they conduct business online, travel, and other things. One of the most well- liked forms of online commerce is the E-auction, which enables bidders to place direct bids on things. Regarding sealed bids, an additional transaction fee is necessary for the middlemen because they play a crucial role in facilitating trade between the buyers and sellers throughout the auction. Furthermore, it never guarantees the dependability of the third party. In order to resolve the concerns, we propose leveraging blockchain technology, which has low transaction costs, to develop smart contracts for open and sealed bids. The smart contract, first conceived in 1990 and implemented via the Ethereum system, may guarantee the bill is secure, private, unreliable, and unalterable because all transactions are recorded in the same but decentralized ledgers. The smart contract contains the following information: the address of the auctioneer, the start and end times of the auction, the deadline, the location of the current winner, and the most recent price.

Abstract: Drowsy driving is one of the top causes of road accidents, resulting in catastrophic injuries and deaths every year. Drowsiness is defined as trouble staying awake, which can be detected by systems that analyse physiological indicators, face traits, and driving patterns. The paper also describes and offers the most recently developed strategies for each class. It also compares recently published work in terms of accuracy, dependability, hardware requirements, and penetration capabilities. The advantages and limitations of each category is summarised and analysed. As a result, each technique has both advantages and downsides. A hybrid system that integrates two or more techniques will be efficient, durable, and precise, and will be employed in real time to maximise the benefits of each methodology.

Keywords: Drowsy driving, Physiological cues, Facial features, Driving habits

Abstract: The main goal of the thesis, titled "Predictive Analysis on the Commercial Success of Game," is to predict whether a game will be successful or not after being published by analyzing previous game sale data. Whether a game is considered a hit or not is determined by the number of game copies sold. Previous game sale data were collected from the website Kaggle, Meta critics and Gamespot. The attribute global sale was correlated with all other attributes from the dataset. This enabled the identification of trend lines and determination of the attributes that have the most impact on global sales. Prediction was carried out using Random Forest Classifier and Logistic Regression. One Hot Encoding was used as LR and RFC cannot work with string value. Works Cited: Sheikh Arafat Rahman Shovo, ShafiulAlam, Shaikh Shariful Habib " Predictive Analysis on Commercial Success of Game", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 10, no. 5, pp. 284-294, 2023. Crossref https://doi.org/10.17148/IARJSET.2023.10536

Abstract: College students are suffering from many mental health problems including mental stress, somatization, obsession, interpersonal sensitivity, depression, anxiety, hostility, fear, paranoia, and psychosis, which can bring a lot of negative effects to them. Obviously, the mental health problems of college students not only directly affect their own growth, but also affect the stability of the campus. Most colleges also pay more and more attention to students' psychological crisis monitoring and prevention. All Colleges simply analyze whether students have mental health problems or what kind of problems they have. It cannot find hidden relationships in the psychological data. We need a system to handle the student mental health problems, here we are mainly concentrating on student stress prediction. There are so many factors related to stress such as workload, assignments, family issues, friends' issues, attendance, teaching, etc. Machine learning is a subject to predict the future based on past data. Using machine learning techniques, we predict student stress levels, and also the proposed system will give suggestions based on the stress levels of students.

Keywords: Student stress levels, psychological data, machine learning.

Abstract: According to one of the survey report,70% of India's population depends on the agricultural sector. A wide variety of diseases and various types of pests affect crop production, resulting in loss of quality and quantity of the yield. In current scenario farmers are opting for the option of pesticides to get rid of the pest, but the pesticides are ruining the soil quality level and effecting our environment. For this problem faced by many farmers across states the key solution is to detect the pests as early as possible and cut down the use of pesticides over vast areas and concentrate on particular areas where pest is been detected and destroy them as early as possible. Hence this paper gives a solution of such problem that is "Computer vision application in agriculture for pest control".

Keywords: pest detection, image procession, agriculture, pesticides.

Abstract: In modern times, everyday life has become smarter and more sophisticated. We already know some voice services like google, and Siri. etc. Now in our voice support system, it can work like automatic contact saving through voice. This project works by entering voice and rendering voice output and displaying text on the screen. Our main voice help agenda makes people smarter and deliver faster results. Voice Help captures voice input with our microphone and transforms our voice into understandable computer language providing the necessary solutions and answers that the user asks. The Natural Language Processing algorithm enables computer systems to engage in communication using the natural human language in many ways.

Keywords: Virtual Personal Assistant, Natural Human Language, Speech to text, Artificial Intelligence, Natural Language Processing, Machine Learning.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Reliability and Prevention of Wireless Sensor Networks using Dijkstra's Algorithm Dr.B.Rajesh Shyamala Devi, Sudha Naveen, Inkollu Venkata Pavan Kalyan Reddy Abstract-WSNs are employed extensively in a broad spectrum of fields, including surveillance, healthcare, and ecological monitoring. As WSNs are frequently deployed in harsh and distant areas where maintenance is challenging or impossible, reliability is a critical component. Therefore, it's critical to create WSNs that are dependable and efficient even under challenging circumstances. In this project, we suggest using Dijkstra's method to increase the WSNs' dependability. A renowned graph-based approach for determining the shortest path across two points in a network is called Dijkstra's algorithm. With the aid of this method, we can improve the energy efficiency and longevity of WSNs by optimizing their routing patterns. To increase the dependability of WSNs, we will additionally be looking at preventive strategies. The tactics used in these preventative strategies will include redundancy, fault-tolerance, and error correction. By putting these strategies into practice, we can stop network failures from happening and make sure it keeps working even in challenging circumstances. To determine the success of the suggested strategy, simulations will be used, and the results will be compared to those of other current routing protocols. The outcomes of this study will be beneficial for creating dependable WSNs which can be employed in a variety of scenarios. Keywords-WSNs, Dijkstra's method, routing patterns, dependability, shortest path, longevity, and energy efficient. Downloads: | DOI: 10.17148/IARJSET.2023.10540 How to Cite: [1] Dr.B.Rajesh Shyamala Devi, Sudha Naveen, Inkollu Venkata Pavan Kalyan Reddy, "Reliability and Prevention of Wireless Sensor Networks using Dijkstra's Algorithm," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10540 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: Concrete is widely used in construction, but its demand is causing depletion of aggregate deposits. Researchers are exploring ways to replace aggregates with waste materials to make construction sustainable and cost-effective. Waste materials from industries and agriculture, which pose disposal challenges, can contribute to resource conservation and environmental protection while reducing construction costs. In this review focused on using waste tyre shreds in Paver blocks, trials are conducted to determine the mix design parameters. Factors such as compaction capacity, cement grade required, water content, aggregate quality and gradation, additives, handling equipment, curing method, supervision level, workmanship, quality control and compressive strength are considered. Paver blocks made with waste tyre shred may be suitable for temple yards, house yards, walking and cycling tracks, and light traffic roads in rural areas. They are lightweight, increasing waste tyre usage and facilitating easy handling. Combining them with fly ash or exploring other waste materials like coconut shell, bamboo fibre, and plastic can provide additional options for sustainable construction practices.

Keywords: Concrete, Aggregate, Paver block, Sustainability

Abstract: Assessment of surface water quality is a fundamental and important technique for sustainable management of water resources. The aim of this study is to evaluate the lake water quality of the Bhavnagar region. The findings will support effective water management in the research area for a variety of future demands, including irrigation, industry, and river conservation. Environmentally significant variables were examined, including physio-chemical parameters (PH, color odor, test, Turbidity, calcium, hardness, total dissolved solids, chloride, magnesium, sulphate,). The results were contrasted with the BIS and WHO's accepted upper limits. All of the water quality metrics have been determined by correlating various parameters and comparing them with BIS, and the variations in various parameters were statistically significant when compared to the monthly seasonal variation in a lake. The QGIS software through Interpolate Map of The Water-quality parameters indicate that lakes Water is safe for Drinking Purpose

Abstract: Heat exchangers have always been an important part to the lifecycle and operation of many systems.The purpose of this thesis is to analyse the thermal and structural values of shell and tube heat exchanger with and without baffles. Designing is done using CATIA V5 Software. In this work, various materials are used and analysed for the tube material for their performance in the shell and tube heat exchanger with and without baffles. The different materials for tube material used are Copper, Hastelloy and CuproNickel. Structural and Thermal analysis are performed in ANSYS Software. The results obtained are compared for all cases.

Keywords: Shell and Tube Heat Exchanger, CATIA V5, ANSYS, Thermal Analysis, Structural Analysis

Abstract: Engine performance depends on various parameters such as types of material used for making engine, number of fins used, thickness of fins, and fins shape which escort thermal effect on it. Presently, material used for manufacturing cylinder fin body is Aluminium Alloy 356. One of the key parts of a car that is subjected to significant thermal stresses and high temperature variations is the engine cylinder. To enhance the quantity of heat expelled by convection, fins are installed on the cylinder surface. In order to optimize the improvement in heat transfer efficiency, the current research describes the enhancing assessments of heat dissipation and the consequent stress reductions across a flat surface in various cylinder types. The thermal conductivity of the material and the geometry of the fins both promote heat transmission. The primary goal of the current article is to use the ANSYS workbench to alter the shape and thickness of cylinder fins in order to investigate the temperature distribution.

Keywords: Rectangular fin, AutoCAD 2022, Ansys workbench 2022 academic Software, temperature distribution, and heat flux

Abstract: In the present scenario, Conventional slab buildings are commonly used for construction. The use of Flat slab building provides many advantages over Conventional slab building, like the use of space, easier formwork, architectural flexibility, and shorter construction time. The structural efficiency of the flat slab construction is obstructed by its poor performance under earthquake loading. In the present study, two Conventional RC slab and Flat slab buildings of G+8 storey building models are considered. Seismic zone III is considered for the analysis. The analysis is done using ETABS software. It is necessary to analyse the seismic behaviour of buildings with the same heights to see what changes are going to occur in conventional slab buildings and flat slab buildings. Therefore, the characteristics of the seismic behaviour of flat slab and conventional slab buildings suggest that additional measures for guiding the conception and design of these structures in seismic regions are needed and also to analyse the performance of buildings having conventional slab and flat slab under seismic loading. The object of the present work is to compare the behaviour of multi-storey commercial buildings having flat slabs and two-way slabs with beams under seismic loads. Present work provides a good source of information on the parameters: storey displacement, storey drift, storey shear, storey stiffness, and time period.

Keywords: Flat slabs, seismic zone.

Abstract: Plastic is a cost-effective material and it is using widely in industrial production and is an efficient raw material for manufacturing of plastic based goods. The huge quantity of waste materials such as plastic, polythene bags, rubber tyres cause environmental hazards when it is disposed. Although waste plastic is currently viewed as a demon for present and future generations due to its non-biodegradability and unsightly appearance. The utilisation of plastic has revolutionised various sectors of the growing economy of the country, such as information technology, automobile, construction and etc. The studies have linked improper disposal of plastic waste to various issues such as skin problems, cancer, genital abnormalities, and negative impacts on animals. This study aimed to develop a modified binder for bitumen concrete mix by utilizing these waste materials as a partial replacement for bitumen and it enhances the desired mechanical properties of the road mixtures. The polymer coated on aggregates can reduce the voids and moisture absorption, results in reducing the formation of ruts and potholes. The road constructed with this modified bituminous mix can withstand heavy traffic load and durable than normal mix roads. The use of this modified mixes can improve the abrasion and the toughness value. To replicate field conditions the study focused on the Marshall test and the Ultimate performance of hot mix asphalt. The plastic and the crumb rubber were substituted for bitumen at different proportions of between 5%-10% and 5%-15%. By substituting bitumen with waste plastic, there may be a increase in strength of up to 16%, and with rubber material up to 50% increase compared to conventional mix. By using these waste materials, it is possible to get a bituminous mix with required strength and density, as an eco-friendly green pavement at lower cost.

Keywords: Waste plastic, Crumb rubber, Disposal, Modified Bituminous mix, Eco-friendly, Low cost.

Abstract: In an era of remarkable speed and dynamism in the knowledge-driven global economy, Philippine higher education is positioned as a major driver of economic competitiveness. Hence, this descriptive-survey study describes the level of engagement of State Universities and Colleges (SUCs) leaders in Panay Island as to research and extension. The respondents of the study were the one hundred ninety-six from a total population of three hundred eighty-four (384) State Universities and Colleges (SUCs) leaders in Panay Island. As to the research instrument, this study used a validated and reliability-tested researcher-made survey questionnaire. Mean as the statistical tool was used to describe the SUC leaders' levels of engagement in the areas of research and extension. Findings revealed that State Universities and Colleges (SUCs) leaders are engaged in extension and moderately engaged in research. Therefore, the Commission on Higher Education left caveats of concern in research and had gaps to fill to improve levels of engagement in extension. Since these two mandates are necessary for valuing quality education delivery commitments.

Keywords: Engagement, Extension, Higher education, Leaders, Research

Abstract: Scour is the process whereby rushing water removes streambed silt. Aggradation is the gradual build-up of the stream bed in reach as a result of silt deposition. The failure caused by scouring ranks second in terms of overall bridge failures, behind floods. There hasn't been any research done to far on the maximum scour depth, particularly for piers with rectangular and triangular shapes. In order to do this, a number of tests were carried out in a recirculating flume at the Shantilal Shah Government Engineering College in Bhavnagar, Gujarat, which is 6.0 meters long, 0.30 meters wide, and 1.0 meters deep. The sediment's d50 size is 1.3mm. Four different pier forms were used in a total of 16 runs, with the triangular shape showing the greatest scour depth and measuring 48.7% greater than the circular pier.

Abstract: Recent advances in computer vision have led to the development of a robust learning technique that can identify and diagnose plant diseases using photos captured by a camera. This practical approach can help detect various illnesses in different plant species, including apples, corn, grapes, potatoes, tomatoes, and sugar cane. The system's architecture specifically targeted these plants for detection and recognition, and it can detect several plant diseases. To develop deep learning models for plant disease detection and recognition, scientists used 35,000 photos of both disease-free and diseased plant leaves. The system achieved up to 100% accuracy in identifying the type of plant and the diseases affecting it, with the trained model achieving an accuracy rate of 96.5%. The technique involved using convolutional neural networks, computer vision, deep learning, and plant disease recognition.

Keywords: plant disease recognition, deep learning, computer vision, convolutional neural network.

Abstract: For the rehabilitation of degraded road pavements, thin concrete overlays have become a popular choice. These overlays, which are typically 1 to 4 inches thick, offer a number of advantages, including increased structural capacity, higher longevity, and less maintenance requirements. Thin concrete overlays increase resistance to cracking and rutting and lengthen the lifespan of deteriorating pavements by restoring their capacity to carry weight. Additionally, they provide design flexibility by allowing for the alteration of color, thickness, and texture. They also save money over the long run by requiring fewer repairs down the road and little surface preparation. As a beneficial and long-lasting solution for repairing road surface, thin concrete overlays are used. To summaries, thin concrete overlays provide an innovative and sustainable solution to repairing and prolonging the service life of road pavements. They are a vital asset in contemporary pavement rehabilitation practices because of their capacity to improve structural capacity, durability, and aesthetics while offering affordable alternatives. The creation of durable and long-lasting road infrastructure can benefit greatly from additional research and application of thin concrete overlays.

Keywords: Overlays, Thin white topping, Asphalt, Ultra thin white topping.

Abstract: Every year, there are more and more industrial wastes, and disposal has become a major issue. With advancements in technology in every industry, it is imperative to effectively utilize the steel slag waste. In our nation, murram dirt is frequently used for the construction of all types of roadways. Several types of murram soils are discovered to be unsuitable for road construction due to increased finer fraction and excessive plasticity qualities, despite murram being an excellent construction material. However, due to their rarity, they raise construction costs in some sections of the country. such as the steel slag that is a common industrial material that is used to pave roads. In India, the issue is how to dispose of it safely given that the road construction industry has serious health and environmental risks ,environmental issues, waste management, and the progressive loss of natural resources like soil and aggregates. Steel slag is a waste product created by the steel industry as a by-product of the production of steel. The amount of generation from the various steel industry in India (ref. report.crri-2010) is approximately 24 lac mt per year. It currently has no applications and is recklessly dumped on the expensive property next to the plants. The steel slag material was mechanically stabilized with locally available soil in the range of 5 to 15% in order to enhance its geotechnical engineering qualities. To determine whether these stabilized mixes geotechnical characteristics are suitable for use in building.

Keywords: Steel slag, Asphalt, ductility test.

Abstract: In this project, the internet of things (IOT) is used to develop and design a patient health monitoring system. These days, new devices are being created. Experts are constantly searching for cutting-edge electrical equipment that make it simple to find anomalies in the body. Patients can do examinations at home thanks to the patient health monitoring system. A patient health monitoring system is shown in this project. For other people, visiting the hospital frequently or purchasing hospital supplies from a shop is too expensive. We have created a system that allows us to continuously monitor the patient's blood oxygen levels, heart rate, and body temperature. Additionally, our desired check-up output is delivered to your mobile device via email. The advantage of this gadget is that, regardless of where the primary household member is located, he may access your health check-up information on a variety of devices.

Keywords: IOT, Health Monitoring system, Arduino uno, ECG Sensor, Cloud server, etc.

Abstract: Fit Orbit is basically a platform which provides you the best fitness centre that is close to your home, in your neighborhood. We provide you the proper details about a fitness centre and what facilities they are providing, straight from your smartphone.

Keywords: best fitness centre, classification, facilities

Abstract: Chronic Kidney Disease (CKD) prediction system is a machine learning-based system that uses Convolutional Neural Networks (CNN) and Principal Component Analysis (PCA) to predict the likelihood of CKD in patients and classify their stage of disease. The system takes patient data, such as age, gender, creatinine level, blood urea nitrogen level, and glucose level, as input, and preprocesses it using PCA to reduce dimensionality and improve model performance. The preprocessed data is then fed into a CNN model for prediction and stage classification. The system was evaluated on a dataset of patients with varying stages of CKD and achieved high accuracy and stage classification performance, demonstrating its potential as an early detection and treatment aid for CKD. The CKD prediction system has the potential to improve patient outcomes and reduce healthcare costs associated with CKD treatment, making it a valuable tool for clinical practice.

Keywords: CKD stage identification; chronic kidney infection; machine learning, and CNN.

Abstract: A mathematical model of a two-dimension magnetohydrodynamic (MHD) free convection fluid flow that is turbulent and past a vertical infinite porous plate is developed. The fluid flow is impulsively started to in x-direction. Flow problem modeled using conservation of momentum, and conservation of energy equations. The arising partial differential equations, which are nonlinear, are solved numerically using explicit finite difference scheme. Simulation of the discretized equations is done using MATLAB. The impacts of flow parameters on velocities and temperature profiles such as Magnetic parameter (M), Hall parameter (m), and Prandtl number (Pr) were examined. It is evident from the results that during the cooling of the plate (Gr>0), the primary velocity decreases with decrease in Hall parameter, m, and increase in magnetic parameter, M. It also decreases as the prandtl number, Pr, is increased. The secondary velocity decreases with decrease in Hall parameter, m, and increase in magnetic parameter, M. It also decreases as the prandtl number, Pr is increased.The results also shows that there is no significant effect on temperature profile as the Hall parameter is decreased. There is also no significant change as the magnetic parameter is increased. It is also evident that there is a decrease in temperature profile when the Prandtl number is increased.

Keywords: Porous plate, Free Convection, Magnetohydrodynamic, Turbulent, Finite difference

Abstract: Kissan-Kiosk is a computing unit that provides access to bill status, bill payments, agriculture updates, soil testing, and crop advisory for farmers. These kiosks were originally similar in appearance to telephone booths, but they have since been improved and expanded to better serve their customers. They are typically placed in high-traffic areas that are easily accessible to farmers, such as shops and hotel lobbies. With the integration of new technologies, Kissan-Kiosks are now capable of performing various functions, such as facilitating bill payments. For instance, these kiosks can enable users to pay electricity bills, water bills, phone bills, and more. Moreover, the application of Kissan-Kiosks can be extended to various platforms, including tourist places for guiding tourists, railway stations for displaying train information and ticket vending, hospitals for dispensing medicines, and educational institutions for disseminating campus information.

Keywords: Kiosk, Bills ,Payment, RFID, Schemes

Abstract: Safety is a necessary part of man's life. Due to the accident cases reported daily on the major roads in all parts of the developed and developing countries, more attention is needed for research in the designing an efficient car driving aiding system. It is expected that if such a device is designed and incorporated into our cars as a road safety device, it will reduce the incidence of accidents on our roads and various premises, with subsection in loss of life and property. When itequentredu comes to the use of a motor vehicle, accidents that have occurred over the years tell us that something needs to be done about them from an engineering point of view. Now it is suffice to say that the implementation of certain highway safety means such as speed restrictions, among others, alone has done a lot in reducing the rates of these accidents. Many motorists have had to travel through areas with little light under much fatigue, yet compelled to undertake the journey out of necessity. It is therefore imperative to consider the advantages of an early warning system where the driver is alerted of a possible collision with some considerable amount of time before it occurs.

Keywords: Automatic Speed Breakers.

Abstract: In many parts of the world, groundwater is the best and most practical supply of fresh water for drinking, as well as for agricultural and industrial uses. Depending on the intended usage, water quality varies. Environmental quality management has long placed a premium on the assessment of groundwater quality. Since groundwater is the sole significant supply for residential consumption and irrigation, the study sites in Talaja Taluka in the Bhavnagar district are very important and require careful consideration. The goal of the current study is to evaluate the groundwater's appropriateness for drinking in relation to the village of Talaja in the district of Bhavnagar. In the current study, various seasonal groundwater quality data were gathered from various organisations, such as GWRDC, for several consecutive years (pre-monsoon and post-monsoon 2001to2022). The respective physicochemical characteristics were observed for eight parameters; in particular pH, Calcium, Chloride, Fluoride, Total hardness, Magnesium, Nitrate, and Total dissolve solids. With the help of the Bureau of Indian norms' (BIS) established norms, suitability for drinking is assessed. Water Quality Index is created using the Weighted Arithmetic Index approach. The collected groundwater quality data from 21 wells were used to calculate the Sodium Adsorption Ratio (SAR), Residual Sodium Carbonate (RSC), and Electrical Conductivity (EC), which are all categorised by salinity and alkalinity according to the standards recommended by the Central Soil Salinity Research Institute (CSSRI) of India for irrigation purposes. For various stages of this work, Q GIS is utilised to generate themed maps. Maps that can be utilised to better comprehend the current water quality situation in the research region will be used to present the findings of the water quality analysis work

Keywords: Groundwater, Water quality index, Irrigation water, QGIS.

Abstract: Fertilizer use is typically under the limited control of farmers. For the farmers to achieve higher yields and reduce fertilizer loss, competent guidance is required for the best use of these fertilizers. Additionally, there is a connection between rainfall volume and nutrient loss for various fertilizer applications after each rainfall event. Rainfall that is moderate and falls at the right moment can help nutrients penetrate the soil's rooting zone and dissolve dry fertilizer. However, too much rain can increase the possibility of runoff and the pace at which nutrients like nitrogen (N) which is quintessential, phosphorus (P), and potassium (K) which are crucial, manganese (Mn), and boron (B) that are present in the soil. This research presents nutrient recommendations using an updated iteration of the random forest algorithm which is based on time-series data to forecast the required quantity of nutrients for various crops by examining rainfall patterns and crop fertility. The method suggested in this study comes in handy for improving soil fertility by providing nutrients recommendations for optimum conditions for crop growth and reducing leaching and runoff potential.

Abstract: 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) is an important compound in the class of 2-Substituted 4-heteromethylene-2-oxazolin-5-one (I). The classical Erlenmeyer Azlactone Synthesis is one of the most common process to synthesize Azlactones or 5(4H)-Oxazolones. The method employs the condensation of aromatic aldehydes with hippuric acid in acetic anhydride in the presence of fused sodium acetate, but it fails to produce 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) directly. In view to explore, attempts were made to synthesize 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) using five disciplined route and its solvolysis and aminolysis based products. 2-Phenyl-2-oxazolin-5-one (3) was generated by cyclizing hippuric acid (1) with either ethyl chloroformate (2a) or benzene sulphonyl chloride (2b) or p-toluene sulphonyl chloride (2c) in the presence of triethylamine base in dry benzene at room temperature, which declines the risk of high pressure development associated with solution phase reaction. The triethylamine salts produced were filtered under suction and the resultant intermediate (3) was allowed to condensed with N,N'-Diphenyl formamidine. On refluxing for 15 minutes, the resulting product 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) was obtained in good yield. Further, 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) was also prepared on treatment with aniline in one flask directly from 4-Ethoxymethylene-2-phenyl-2-oxazolin-5-one (5) which in turn was synthesized by heating hippuric acid (1) with ethyl orthoformate in presence of acetic anhydride. When a mixture of hippuric acid (1), ethyl orthoformate and phenyl isothiocyanate with the molar ratio of 1:1.1:1.2 was heated at 130o-140oC for 30 minutes in presence of pyridine as base, 4 was obtained directly along with hippuranilide (6) with 20% and 16% yields respectively.(SCHEME- 1) On solvolysis and aminolysis of 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) afford a variety of products either by the attack of nucleophiles through the cleavage of 1, 5-bond of the oxazolone ring or first by exchanging the anilino moiety followed by 1, 5- bond cleavage and subsequent recyclization. Accordingly, 3-Anilino-2-benzoylamino acrylic acid (7) by hydrolysis, Ethyl 3-anilino-2-benzoylamino acrylate (8) by ethanolysis, methyl 3-anilino-2-benzoylamino acrylate (9) by methanolysis, 4-benzoylamino-3-pyrazolin-5-one (11), and 4-benzamido-1-phenyl-3-pyrazolin-5-one (12) by hydrazinolysis with hydrazine and phenyl hydrazine respectively were synthesized using 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one (4) as a synthon. (SCHEME-2)

Keywords: 4-Anilinomethylene-2-phenyl-2-oxazolin-5-one, Synthon, Solvolysis, Hydrazinolysis, 5(4H)-Oxazolone, 3-Pyrazolin-5-one.

Abstract: The design and construction of a pick and place remote controlled robotic vehicle is reducing the human effort to work comfortably and safely. This rover makes use of robotic arm as well as robotic vehicle which helps not only to enter an area involving high risk but also to pick whatever object it wants to. Robotic arms have become popular in the world of robotics. The essential part of the rover is robotic arm and the rover itself which is programmed using microcontroller Arduino Nano capable of driving basically 7 synchronous DC motors. In this anticipation an automated arm with four degrees of opportunity is composed and can pick the items with a particular weight and place them in a sought area. To encourage the lifting of the items, Synchronous DC motors are utilized. This abstract explains the method of interfacing the robotic arm DC motors with the programmed Arduino NANO based micro controller which are used to control rover operations. A sample rover which can grab, and release small objects is built to demonstrate the method explained. In this project, the main application is control of multiple operations and movement of rover through the use of Arduino. The initial phase of the project focuses on passing the input signals to the micro controller so as to identify the number of different workstations available in the industry which are specified by the user. Automated pick and place a framework comprised of a preparing station, testing station, and sorting station. As well as the project also focuses on security, while it can also be used in the defense sector.

Keywords: Robotic arm, Gripper, Gear motor, Night Vision Camera, Arduino NANO, LDR.

Abstract: In India Reinforced Cement Concrete is commonly used construction material particularly in case of average and low-rise buildings. For high-rise structures steel is preferred. The material used in construction should be cheap, safe and easy handling. Every material used for construction has its own pros and cons. RCC and steel are the materials that are mostly used in framing system for most of the building. Steel members have the advantages of high tensile strength and ductility while concrete members have the advantages of high compressive strength and stiffness. Our main endeavour is to deal with the comparative study of structural analysis between Steel framed and Reinforced concrete structures. Three-dimensional model of RCC and steel structure are analysed with the help of software ETABS and Staad Pro. This study shows comparison of various aspects of building construction for steel and RCC buildings considering various researches involve in this topic.

Keywords: Comparative study, RCC, steel structure, STADD Pro, ETABS

Abstract: Suspicious behaviour in open areas is sensitive and prone to serious consequences. There are many systems built based on video frame acquisition that monitors motion or identifies pedestrian but those systems are not smart enough to find out the unusual activities even in a real-life scenario. It is necessary to identify fugitive scenarios in real-time from video surveillance for rapid and immediate control before any casualties. To create a technology that can automatically identify suspicious behaviour using computer vision, the system focuses on distinguishing suspicious scenarios and pinpointing the precise target of the activity. The system utilizes the Open CV library for distinguishing and categorizing several kinds of tasks or actions in real-life scenario. Automated event identification, movement-based recognition, person count tracking, autonomous robot navigation, and a variety of other disciplines are some of the other topics covered. Separating objects from their background, on the other hand, is a challenging process.A difficulty arises when an object appears from the background as a result understanding the footage and its elements with portrayed scenarios becomes the most essential requirement. The utilization of a typical human behavior approach is the predictable goal in the unpredicted activity detection phase.

Abstract: Remotely measuring vital indicators, such as heart rate (HR), is possible using facial footage captured by a consumer-level digital camera. However, background light and bodily motions frequently have an impact on how accurately the heart rate is estimated. Therefore, we suggest an anti-disturbance strategy to measure HR at a distance, Eulerian video magnification (EVM), signal quality assessment (QA), and adaptive chirp model decomposition. The performance of the suggested method is then assessed and validated in five distinct situations, including low illumination, normal illumination, high illumination, imbalanced illumination, and head motion. The experimental findings showed a high degree of congruence between the proposed method's HR estimations in various scenarios and the related ground facts. Additionally, whether compared to techniques based on empirical mode decomposition (EMD) or variable mode decomposition (VMD).

Keywords: HR Estimation, Convolutional Neural Network, Spatial Decomposition, Temporal Filtering

Abstract: Dermatological diseases rate has been increasing for past few decades. Most of these diseases tend to pass on from one person to another and are also based on visual perspectives, the dermatological diseases of one kind found on one part of the body might look different on another part of the body and diseases of different kinds on one part might look similar on other body parts. Skin diseases pose significant challenges in early detection and diagnosis, requiring accurate and efficient methods to improve patient outcomes. This report presents a novel Skin Disease Detection System that integrates Gabor filters and the deep learning models. The system leverages Gabor filters to extract texture features from skin lesion images, capturing unique patterns associated with various skin diseases. These features are concatenated and fed into a fine-tuned VGG16 model, which extracts high-level features and used CNN for predicting the type of skin disease. The system's workflow encompasses image preprocessing using Gabor filter, feature extraction using VGG16 model and disease classification using the CNN model, we predict four type of disease (Acne, Benign, Dermatitis, Eczema). By combining texture analysis and deep learning techniques, the system aims to enhance accuracy and assist dermatologists in efficiently screening and skin diseases. The proposed system has the potential to revolutionize skin disease, facilitating early intervention and improved patient care.

Keywords: Gabor filter, Deep learning algorithm - Convolutional neural network (CNN) and Visual geometry group 16(VGG16).

Abstract: Vehicles using petrol and other internal combustion engines now on the road contribute to air, noise, and greenhouse gas pollution. As electric vehicles are a better alternative to curb the ongoing pollution it is vital to make amendments to the battery charging process to attain greater reliability. In electric vehicles charging batteries through chargers and wire is inconvenient, hazardous, and expensive, therefore we are trying to charge electric vehicle batteries by wireless power transfer at charging stations. The main function of wireless charging is to transmit power by inductive coupling method across a given space. It is possible to use a static or dynamic charging mechanism to perform wireless power transmission. This paper describes the wireless inductive coupling battery charging technology that has been used for electric car batteries. The driving circuit is used between the transmitter coil & receiver coil where MOSFETs, IR sensors, and Relays are used for switching operation. Whenever the vehicle is present or not, the transmitter coil circuit is switched ON or OFF, correspondingly.

Keywords: Electric Vehicle (EV), Wireless Inductive Coupling, Wireless Power Transfer (WPT).

Abstract: The Advance IOT based solar and motor operated electromotive maglev train model is based on the magnetic suspension technique by which an object is suspended with no support other than magnetic fields. Magnetic force is rummaged to counteracted the effects of the gravitational force and friction force, benefit is free of friction, comfort and noiseless. Maglev train also called magnetic levitation train, maglev is floating vehicle for land transportation that is supported by either electromagnetic attraction or repulsion .As IOT stand for internet of things technology is commonly applied to control the speed of the maglev train .the major role to play in ensuring passenger comfort and train safety. Nevertheless, there is still online track on maglev transport vehicle and further changes can be made to the IOT-based suspension function. It is therefore very useful and important for maglev trains, using new data and communication expertise, to perform electronic tracking and data analysis using an advanced IOT monitoring and control network in recent failures on some maglev trains, however, simultaneous acceleration of vehicles and railway sand the instability of the control mechanism were noted. An IOT based online surveillance system is currently urgently needed. The algorithm can also be enhanced by means of data analysis to reduce and enhance oscillation and system stability. The absence of knowledge on IOT based maglev monitoring systems is discussed on a maglev protection and data acquisition platform located in the IOT.

Keywords: Magnetic-Strip, Wood,(node-mcu), Male-Female Wire, Solar panel, Fan-exhauster.

Abstract: A technique for measuring the learning capabilities of the student based on normal brain signals is examined and evaluated. There exists a variety of sensors that monitor brain activity and also provide the basis for a BCI. It also includes electroencephalography (EEG). Multiple sensors that exist can in principle detect relevant signals. Practicality and speed considerations exclude most of these options so almost all BCI systems to date depend on detecting signals using sensors. The impact of different environmental conditions has different effects on Cognitive Function. Brain-Computer Interface (BCI) technology for measuring and evaluating a student's learning ability in a variety of settings. Presumably, the paper discusses how BCI technology can track brain activity, such as attention and cognitive task, as the student learns in different environments. The purpose of this research is obviously to determine which environmental factors, such as noise or lighting, have an effect on the learner's ability to learn and retain information.

Keywords: Brain-Computer Interfacing (BCI), Electroencephalography (EEG), Cognitive Function, Sensors.

Abstract: Nearly one-quarter million Americans die with or of advanced chronic obstructive pulmonary disease (COPD) each year. Many patients die after a prolonged functional decline that is accompanied by much suffering. Though difficult prognostically and emotionally, the anticipation of death opens the door to planning and preparing for terminal care. Epidemiologists have begun to identify characteristics of COPD patients who are most likely to die within 6-12 months, including severe, irreversible airflow obstruction, severely impaired and declining exercise capacity and performance status, older age, concomitant cardiovascular or another comorbid disease, and a history of recent hospitalizations for acute care. Clinicians are encouraged to raise the difficult subject of planning for death when many of these characteristics apply. Patients with far-advanced diseases are often receptive to the recommendation of a dual agenda: "Hope for and expect the best, and prepare for the worst." Medical planning is best pursued in an out-patient office during a prescheduled, 3-way conversation between the patient, health care proxy, and physician. An advance directive can be written after the meeting to summarize the conversation. Clinicians should consider recommending hospice care when a COPD patient is at high risk of respiratory failure from the next chest infection and in need of frequent or specialized home care. Preparation for death should include a realistic appraisal of the prospects for dying peacefully at home and a contingency plan for terminal hospitalization, should the need arise.

Keywords: Chronic Obstructive Pulmonary Disease, irreversible airflow obstruction, concomitant cardiovascular.

Abstract: Deep learning models, namely, LSTM and GRU (feedback-based learning models), are used to recognize signs from isolated Indian Sign Language (ISL) video frames. The four different sequential combinations of LSTM and GRU (as there are two layers of LSTM and two layers of GRU) were used with our own dataset, IISL2020. The predominant means of communication is speech; however, there are persons whose speaking or hearing abilities are impaired. Communication presents a significant barrier for persons with such disabilities. The use of deep learning methods can help to reduce communication barriers. This paper proposes a deep learning-based model that detects and recognizes the words from a person's gestures. Deep learning models, namely, LSTM and GRU (feedback-based learning models), are used to recognize signs from isolated Indian Sign Language (ISL) video frames. The four different sequential combinations of LSTM and GRU (as there are two layers of LSTM and two layers of GRU) were used with our own dataset, IISL2020. The proposed model, consisting of a single layer of LSTM followed by GRU, achieves around 97% accuracy over 11 different signs. This method may help persons who are unaware of sign language to communicate with persons whose speech or hearing is impaired.

Keywords: LSTM and GRU (feedback-based learning models), Deep learning models, Indian Sign Language (ISL).

Abstract: Fluvial floods are the most prevalent type of flood worldwide. To create a hydrodynamic model in the Hydrologic Engineering Centre-River Analysis System (HEC-RAS), among the different accessible software, open-source software HEC-RAS is the most popular and widely used worldwide. This review intends to investigate the many applications of HEC-RAS software for the building of a one-dimensional hydrodynamic model for study in the Shetrunji River, for which geometric data is the primary input into the software. The primary goal of this work is to investigate and compare the effectiveness of open-source DEM. Every river hydraulic model that models water level and discharge employs river cross sections as its major input. River cross-section measurements in the field are time-consuming and costly. The river cross-sections obtained by both DEMs were used to simulate the severity of a flood in the Saurashtra area of Gujarat's downstream Shetrunji river basin. The outcome of the simulation will be used to assess various hydrological parameters. Hydrological modeling is being conducted to demonstrate the feasibility of flooding, which will ultimately lead to the development of an action plan and the transmission of information to local authorities in the surrounding areas.

Keywords: Hydrodynamic Model, DEM, ALOS JAXA, Shetrunji river, Cross-section Delineation.

Abstract: Our proposed project aims at a robotic vehicle operated by human speech commands. The system operates with the use of a android device which transmits voice commands to an 8051 microcontroller to achieve this functionality. The transmitter consists of the android phone Bluetooth device. The voice commands recognized by the module are transmitted by through the Bluetooth transmitter. These commands are detected by the robotic vehicle in order to move it in left, right, backwards and Front directions. The Bluetooth receiver mounted on top of the vehicle is used to recognize the transmitted commands and decode them. After decoding these commands are passed on to the 8051 microcontroller. The microcontroller then drives the vehicle motors to move it accordingly. This is done with the use of a drives IC used to control the motor movements. The Bluetooth technology used to transmit and receive data allows for remotely operating the system within a good range.

Keywords: Robotics, IoT, Bluetooth and 8051 Microcontroller

Abstract: Gamification involves applying game mechanics and elements to non-game contexts, like education, to increase engagement and motivation. There has been a growing interest in utilizing gamification in teaching programming concepts in recent years. This study examines the advantages of using gamified learning for programming education, as well as the various strategies and techniques employed to gamify programming instruction. The research also explores the challenges and limitations of gamification in programming education, and proposes potential solutions. The findings suggest that gamification can significantly enhance students' engagement, motivation, and learning outcomes in programming education, while also fostering problem-solving skills, creativity, and critical thinking abilities. These results underscore the importance of designing effective gamification strategies that are tailored to the specific context and learning objectives. The paper concludes by discussing the future directions of gamified learning in programming education and the potential of emerging technologies, such as virtual and augmented reality, to further enhance gamified learning experiences.

Keywords: Gamification, e-learning, gamified approach to education, programming

Abstract: Water is an essential necessity for all living things, including humans. Nowadays, there is a shortage of water and an uneven distribution of it due to the rapid population expansion that has led to insufficient supplies and water waste. This project's main objectives are to ensure that water is distributed evenly to all homes, to prevent wastage and blockages in the water supply, and to produce water bills for individual families utilizing IoT platforms. We will use Arduino to put this system into action. Water sensors and a valve are used to control how much water is drawn from the tank. Water used by the flow sensor is passed via a sequence of electric pulses that are generated. Calculations can be made of the user, flow rate, and supplied water volume. The goal of this project is to use IoT platforms and embedded technology to supply water in a properly channeled manner and address problems.

Keywords: Ultrasonic sensor, Water flow sensor, Arduino UNO, LCD Display, Wi-Fi Module, Relay, Electronic Valve, Blynk Application, Water Tank, Battery and Charger.

Abstract: The monitoring of children has had a significant impact on modern parenting in many ways. Our research focuses on the pertinent issues parents have when trying to watch over and care for their kids while working. By creating an IOT-based Smart Cradle monitoring System that will help Parents watch their children, this project intends to lessen the difficulties faced by parents. This cradle has a swinging mechanism that swings automatically in response to a baby's cries. An integrated camera is part of the proposed smart cradle, giving parents access to constant monitoring. For the purpose of modernizing an existing cradle, an Arduino, sound sensors, a wetness sensor, a swinging mechanism, and other electrical parts are employed. This project is much more dependable and efficient, and it can produce results that are superior to those of a traditional cradle.

Keywords: : Infant, Security Purpose, Smart Cradle system, Temperature, moisture sensor, cry Detection, node mcu, baby monitoring system, IOT

Abstract: A novel approach for motion sensing using Raspberry Pi's Wi-Fi signals. The system leverages the fact that Wi-Fi signals reflect and scatter off objects in their environment, causing slight variations in their characteristics. By analyzing the changes in the received Wi-Fi signal strength over time, the system can detect the presence and movement of objects within its range. The proposed solution utilizes the Raspberry Pi's built-in Wi-Fi module to transmit and receive Wi-Fi signals, and a custom software program to process the signals and perform the motion detection. The system is cost-effective, easy to deploy, and can be used for a wide range of applications, including home security, occupancy sensing, and environmental monitoring. The experimental results demonstrate the effectiveness and accuracy of the proposed system, making it a promising solution for motion sensing in various scenarios.

Keywords: - Raspberry Pi, Channel State Information, Motion Sensing, InfluxDB

Abstract: The paper focuses to enhance the security of digital images by implementing encryption through the Advanced Encryption Standard (AES) algorithm. A highly trusted and vastly employed encryption technology for securing image data both in transit and at rest is AES. The paper seems to employ dividing the digital data into data blocks and executing AES on each block. Encrypting the blocks forms the encrypted image file. To decrypt the image, the same encryption key used for encryption must be entered. Also, a significant improvement in terms of security, speed, and memory usage for different sizes and types of images is explored. The project aims to demonstrate the effectiveness of AES encryption in securing digital images and its potential for practical use in situations where image security is paramount.

Keywords: AES, Encrypt, Decrypt, k-n Share .

Abstract: This paper presents the development of a wearable health monitoring device that utilizes Arduino, temperature sensor, pulse detector, and oximeter sensors to continuously monitor a patient's vital signs. The wearable device is designed to collect temperature, pulse rate, and blood oxygen saturation readings from the patient's body. The collected data is then transmitted to the cloud via Wi-Fi connectivity and visualized using ThingSpeak software. The primary objective of this project is to address the need for continuous and non-intrusive monitoring of patients' health. Traditional methods of health monitoring often require manual measurements, which can be inconvenient and may not provide real-time insights into the patient's health status. By integrating the sensors into a wearable device, continuous monitoring becomes possible, enabling healthcare professionals to have access to accurate and timely data. The use of Arduino microcontroller facilitates the seamless integration of the sensors into the wearable device. The temperature sensor measures the patient's body temperature, the pulse detector captures the pulse rate, and the oximeter sensors measure the blood oxygen saturation levels. These vital signs play a crucial role in assessing the patient's overall health and detecting any abnormalities or potential health issues........

Abstract: Skin cancer is one of the most deadly types of skin cancer. If it is not recognised and treated right away, it is not anticipated to spread to other body parts. It also occurs when the tissue is exposed to sunlight, mostly as a result of the fast division of skin cells. A precise automated system for skin lesion recognition is crucial for early diagnosis since it can save time, effort, and human lives. Deep learning and image processing are both utilised in the effective treatment of skin cancer. The research proposes a computerised approach for categorising skin cancer. The seven main types of skin cancer have been classified in this study. Convolutional neural networks (CNN) with deep layers exhibit both efficacy and capacity. Seven clinical forms of skin cancer are represented in the dataset, including nevus, actinic keratosis, benign keratosis, dermatofibroma, and melanoma. The objective is to develop a model that can recognise skin cancer and classify it into several categories using a convolution neural network. The diagnostic approach makes use of deep learning and the idea of image processing. Through the use of different picture enhancing techniques, the amount of photographs has also grown. The accuracy of the classification tasks is then further improved by using the transfer learning technique. Accuracy rates are about 98 percent, according to the suggested CNN technique.

Keywords: Deep Learning, Convolution Neural Network, Melanoma or benign, Skin Cancer.

Abstract: 3D printing is one of the prominent technological advancement which is making huge difference in the additive manufacturing industry .Since 3D printing is the only way where an object can be developed as a 3 dimensional object with help of CAD modelling. Although the 3D printers can be operated manually it has many disadvantages.3D printers can be handled efficiently with remote monitoring capabilities which reduces the man power and overcomes disadvantages such as system breakdown in the middle of printing process, to keep an eye whether the equipments used are working properly etc. On the other hand, there are many technological improvements happening to help and assist the visually impaired and blind people. But they cannot see things as we can see. The only way in which we can help them visualize the things around us is using the 3D object/model and touch. Thus it is possible to convert the 3D printer into remote monitoring device and also provide assistance to blind is with the help of Internet of things. Using the ESP8266 NodeMCU and sensors such as TTP223, DHT11,Ultrasonic sensor, relays the various parameters such as temperature, 3 direction movement of the object, starting or stopping the object printing are controlled. Using this IoT enabled FDM 3D printer the 3D objects and the models are printed with the help of CAD modelling and embedded with the touch sensor. Whenever the blind people touch the object, they can visualize how it actually is at the same time receive an audio description about that object which makes them independent. This work is major consideration in the field of historical education and tourism places.

Keywords: 3D printer, iot, audio labelling ,ESP8266 , Blynk.

Abstract: Efforts are being made to use new technologies in various fields to improve people's living standards due to technological advances and miniaturisation of instruments. Healthcare is an important area where technology is being used. Healthcare is extremely costly for those who need it. It has been widely used to connect available medical resources and provide smart, reliable, and efficient healthcare to patients and the public. This is known as the Internet of Things (IoT). Health monitoring for active assisted living is one approach that can take advantage of the IoT to improve a patient's lifestyle. With this project, I presented an IoT architecture specifically designed for healthcare applications. The goal of the project was to develop an affordable remote health monitoring system that can be built with locally available sensors. The proposed system collects sensor data using an Arduino microcontroller and transfers it to the cloud, where it is managed and prepared for remote display. Via email, the doctor or nurse can receive feedback and instructions based on the data analysis.

Keywords: Health monitoring, sensors, Internet of Things.

Abstract: Electric vehicles are gaining more and more popularity all around the globe. As the demand for electric vehicles (EVs) continues to rise, it becomes increasingly important to develop efficient and reliable gear systems to meet the high-performance requirements of these vehicles. Herringbone gears, known for their improved load-carrying capacity and reduced noise, are commonly employed in high-speed applications such as EV powertrains. However, gears used in EVs need to withstand high loads, operate at high rotational speeds, are vulnerable to failure due to the surface stresses and bending that occur at their teeth, which results in a surface fatigue failure known as pitting. This study aims to investigate the stress analysis of Herringbone gears assembly used in single stage step-down transmission of EV's and evaluate the impact of coating on gear surface for reduced stress to enhance their performance and reliability. In this paper, herringbone gears that are utilised in gear box of EV's are designed using low alloy, 4140 normalized steel in Solid works. Finite Element Analysis (FEA) is performed using Ansys to forecast the equivalent (Von-Mises) stress, the total deformation, the equivalent elastic strain, and the regions susceptible to fatigue failure....

Abstract: Counterfeit products are a major problem that affects businesses and consumers worldwide. They pose a threat to public safety, harm legitimate manufacturers, and result in significant economic losses. Authentifi is a decentralised platform that proposes a solution to this challenge by utilising blockchain technology to create a secure and transparent system for verifying product authenticity. The Authentifi platform enables manufacturers, retailers, and consumers to verify the authenticity of products, thereby reducing the prevalence of counterfeit goods. This research paper discusses the technical aspects of the Authentifi platform, including design and implementation. The paper evaluates the feasibility, efficiency, and security of the platform through a series of experiments and simulations. The platform's use of blockchain technology ensures that the information stored on the system is immutable, tamper-proof, and transparent, providing a high level of security. Authentifi's decentralisation also ensures that the system is resistant to single points of failure and malicious attacks. The experiments and simulations conducted demonstrate that Authentifi is an effective solution for counterfeit product identification. The platform's performance is compared with traditional methods of product identification, such as barcodes and QR codes. The simulations assess the platform's resilience to various attacks, including data breaches and denial of service attacks. Authentifi's benefits for manufacturers, retailers, and consumers include an increase in consumer confidence in the products they purchase, protection of legitimate manufacturers from losses due to counterfeiting, and improved public safety. The research suggests that Authentifi has the potential to significantly reduce the negative impact of counterfeit products on the global economy.....

Abstract: The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers numerous cutting-edge solutions in various domains including critical infrastructures. Thanks to the IoT, the conventional power system network can be transformed into an effective and smarter energy grid. In this, we are going to review the architecture and functionalities of IoT-enabled smart energy grid systems. Specifically, we focus on different IoT technologies including sensing, communication, computing technologies, and their standards for the smart energy grid. Based on recent surveys and literature, we observe that the security vulnerabilities related to IoT technologies have been attributed as one of the major concerns of IoT-enabled energy systems. Therefore, the existing threat for IoT-enabled energy systems and summarize mitigation techniques for those security vulnerabilities. Finally, we highlight how advanced technologies (e.g., blockchain, machine learning, and artificial intelligence) can complement IoT-enabled energy systems to be more resilient and secure and overcome the existing difficulties so that they become more effective, robust, and reliable in operation. This will help understand the framework for IoT-enabled smart energy systems, associated security vulnerabilities, and prospects of advanced technologies to improve the effectiveness of smart energy systems.

Keywords: Smart grid, IoT, audio labelling, ESP8266, Blynk.

Abstract: Over the last three decades, natural disasters on every continent have claimed the lives of more than three million people and had a detrimental effect on the lives of at least one billion people while also adversely affecting the lives of more than one billion people. This thesis offers a new and comprehensive framework for the process of development of a disaster the inventory management system is a real-time inventory management system for humanitarian emergencies...

Abstract: Withania somnifera is a popular perennial Indian medicinal plant belonging to the family Solanaceae is commonly known as ''Ashwagandha", Asgand, Winter Cherry, and Indian ginseng. It is one of the most valued medicinal plants which have been widely used as therapeutic agents such as anti-inflammatory, antibiotic, antitumor, immunomodulatory, anti-stress, anti-oxidant, sedative, alterative, and aphrodisiac. The present study comprises a phytochemical evaluation to estimate the presence of carbohydrates, glycosides, flavonoids, tannins, phytosterols, and phenolic compounds in Withania somnifera locally available in the local market of Samastipur, India. The aqueous and ethanolic extract samples were used for the phytochemical analysis by using standard chemical tests to find out the phytochemical constituents in the plants. The roots are reported to contain natural bioactive constituent alkaloids, flavonoids, and phenolic compounds. The present study will help in assessing the quality and purity of a crude drug and laying down pharmacopeial standards for Withania somnifera.

Keywords: Withania somnifera, ashwagandha and antibiotic

Abstract: This research and development aims to produce a product in the form of a human and history digital textbook that integrates Islamic values. Research and development of digital textbooks refers to the research and development method by adopting the ADDIE development model of 5 stages, namely analyze, design, development, implementation, and evaluation. Respondents to this study included material experts, media experts, linguists, and 38 history education study program students. Data collection techniques used were interviews and questionnaires with data analysis methods using descriptive statistics. The results of research and development show that the feasibility level of human and historical digital textbooks integrated with Islamic values obtained a percentage of 90% for the material expert test, 100% for the media expert test, and 100% for the linguist test. Furthermore, for the one-to-one, small group, and field test stages of student trials, each stage obtained a feasibility percentage of 90.8%, 94.5%, and 90.91%. Based on the results of this research and development, digital textbooks on human and history that are integrated with Islamic values are considered very feasible, so that students can take advantage of them in carrying out the learning process for human and history courses.

Keywords: Research and Development, Digital Textbooks, Humans and History, Islamic Values.

Abstract: Brain hemorrhage is a critical medical condition that requires accurate and timely diagnosis for effective treatment. Deep learning techniques have shown promising results in medical image analysis tasks, including the classification of brain hemorrhages. This paper proposes a brain hemorrhage classification system using the VGG16, ResNet18, ResNet50 convolutional neural network (CNN) architecture. The VGG16, ResNet18, ResNet50 architecture is known for its ability to capture intricate image features through the use of multiple parallel convolutional layers. The proposed system utilizes a dataset of brain images, including both normal and hemorrhage cases, to train the VGG16, ResNet18, ResNet50 model. The images are preprocessed and fed into the network, which learns to extract relevant features and classify the images into different hemorrhage categories, such as intracerebral hemorrhage, subarachnoid hemorrhage, and epidural hemorrhage. The training process involves optimizing the model parameters using backpropagation and gradient descent techniques. To evaluate the performance of the proposed system, extensive experiments are conducted on a separate test set of brain images. Various evaluation metrics, such as accuracy, precision, recall, and F1-score, are used to assess the classification results. The results demonstrate the effectiveness of the deep learning-based approach for brain hemorrhage classification, with the VGG16, ResNet18, ResNet50 model achieving high accuracy and reliable performance compared to traditional methods.

Keywords: Brain Hemorrhage, Deep Learning, VGG16, ResNet18, ResNet50, Convolutional Neural Network (CNN).

Abstract: Depression is a major contributor to the overall global burden of disease. Traditionally, doctors have diagnosed depression in people face-to-face using criteria for clinical depression. However, more than 70% of patients would not consult a doctor in the early stages of depression, which leads to further worsening of their condition. Meanwhile, people increasingly rely on social media to reveal emotions and share their daily lives, so social media has been successfully used to help detect physical and mental illnesses. Based on these inspirations, our work focuses on the early detection of depression through social media data collection. We create a well-labelled depression and non-depression dataset on Twitter and extract six clusters of depression-related features that cover not only criteria for clinical depression but also online social media behavior. With these feature groups, we propose a multimodal depression dictionary learning model to detect depressed users on Twitter. Finally, we analyse a large dataset on Twitter to uncover underlying online behaviors between depressed and non-depressed users.

Keywords: Depression Detection , Machine learning, Twitter dataset.

Abstract: Access control systems play a vital role in safeguarding physical spaces and ensuring the security of sensitive areas. Traditional methods, such as ID cards or keycards, have limitations in terms of security and user convenience. To address these limitations, an access control system utilizing barcode and facial recognition technologies has emerged as an effective solution. This abstract highlights the key features and benefits of an access control system that combines barcode scanning and facial recognition. By integrating these technologies, the system enhances security, accuracy, and user experience. The system utilizes high-quality barcode scanners capable of reading various barcode formats, enabling the quick and reliable authentication of ID cards or badges. Barcode recognition algorithms validate the authenticity of the barcode information against stored records, ensuring only authorized individuals gain access. In parallel, the system employs advanced facial recognition algorithms to capture and analyze facial features. By comparing the extracted facial features with pre-registered records, the system verifies the identity of individuals, providing an additional layer of security. The access control system offers several advantages. It enhances security by combining two-factor authentication through barcode scanning and facial recognition, reducing the risk of unauthorized access or identity fraud. The integration of these technologies strengthens access control measures and ensures the physical presence of authorized individuals. Furthermore, the system improves user experience and convenience. Users can simply present their ID cards or badges to the barcode scanner and undergo a quick facial recognition process, eliminating the need for manual input of codes or passwords. This streamlined approach enhances efficiency, reduces queues, and enhances user satisfaction. The access control system also provides auditability and accountability. Detailed access logs and reporting capabilities enable administrators to track access events, monitor user activities, and generate reports for security analysis, compliance, and incident investigations.

Keywords: Facial Recognition, Barcode Detection, Access Control System

Abstract: Pollution of water is one of the main threats in recent times as drinking water is getting contaminated and polluted. The polluted water can cause various diseases to humans and animals, which in turn affects the life cycle of the ecosystem. If water pollution is detected in an early stage, suitable measures can be taken and critical situations can be avoided. To make certain the supply of pure water, the quality of the water should be examined in real-time. Smart solutions for monitoring of water pollution are getting more and more significant these days with innovation in sensors, communication, and Internet of Things (IoT) technology. In this paper, a detailed review of the latest works that were implemented in the arena of smart water pollution monitoring systems is presented. The paper proposes a cost effective and efficient IoT based smart water quality monitoring system which monitors the quality parameters uninterruptedly. The developed model is tested with three water samples and the parameters are transmitted to the cloud server for further action.

Keywords: Water Quality Monitoring System, Ph sensor, Temperature Sensor

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Diverse Plant Leaf Disease Detection Using CNN Prof. Rohini Hanchate , Mr. Ninad Dhadphale , Mr Shantanu Dhaybhar , Mr Vedant Pandhare

Abstract: Recent advances in computer vision have led to the development of a robust learning technique that can identify and diagnose plant diseases using photos captured by a camera. This practical approach can help detect various illnesses in different plant species, including apples, corn, grapes, potatoes, tomatoes, and sugar cane. The system's architecture specifically targeted these plants for detection and recognition, and it can detect several plant diseases. To develop deep learning models for plant disease detection and recognition, scientists used 35,000 photos of both disease-free and diseased plant leaves. The system achieved up to 100% accuracy in identifying the type of plant and the diseases affecting it, with the trained model achieving an accuracy rate of 96.5%. The technique involved using convolutional neural networks, computer vision, deep learning, and plant disease recognition.

Keywords: plant disease recognition, deep learning, computer vision, convolutional neural network. Downloads: | DOI: 10.17148/IARJSET.2023.10549 How to Cite: [1] Prof. Rohini Hanchate , Mr. Ninad Dhadphale , Mr Shantanu Dhaybhar , Mr Vedant Pandhare, "Diverse Plant Leaf Disease Detection Using CNN," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10549 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: Phytoplankton are small, microscopic plants that live suspended in the open water. Phytoplankton are generally more abundant in lakes than rivers. Microorganisms are present in large quantities everywhere and can survive extreme physical and chemical conditions. Many microorganisms play foundational roles in aquatic ecosystems. They serve as a food and shelter of other aquatic organism especially zooplankton. Phytoplankton acts as a biological indicator of water pollution. The latitude of Kanwar Lake, Begusarai, India is 25.630383, and the longitude is 86.145172. The Plankton sample was collected at once from all three sites of Kanwar Lake in a monthly interval from January 2022 to December, 2022.The plankton sample were collected in sterile plastic bottles with the help of plankton net of mesh size 25 and diameter of pore 60μ. Phytoplankton material was preserved in 4% formalin solution at the site of collection. In the present research investigation, water body show variety of algal genera. Algal genera belong to groups Chlorophyta, Bacillariophyta and Myxophyta. Out of 13 Genera of Phytoplankton 5 belongs to Chlorophyta, 4 belong to Bacillariophyta and 4 belong to Myxophyta. The finding of results showed that all three sites of the lake found to be average and more or less similar. So, it clearly indicated that lake not shown much eutrophic due to a smaller number of pollutants are analysed in this study.

Keywords: Kanwar Lake, Phytoplankton, Zooplanktons

Abstract: Based on the current state of Indonesia which is a moral crisis due to the lack of implementation of education about morals or morals. One reason is that education in Indonesia places more emphasis on cognitive aspects, while affective aspects tend to be ignored. Therefore, it is necessary to have character education to shape student morals based on the concepts taught by Rasulullah as the most successful educator and someone who is a role model for mankind. By applying the concept of education taught by the Prophet and emulating it, it is expected to form good morals for students. This is in accordance with the vision of Muhammadiyah Metro University's "Center for Professional, Modern, and Enlightening Prophetic Excellence". This is a reflection of how Muhammadiyah Metro University continues to provide the best in education to produce human resources, including prospective history teachers, by instilling prophetic values. The purpose of this study was to find out the implementation of prophetic values in shaping the character of history teacher students at Muhammadiyah Metro University. The research method in this research is field research. The objects of his research are students and lecturers of history education at Muhammadiyah Metro University. The informant determination technique used purposive sampling. Data collection techniques use interactive models, namely data collection, data reduction, data presentation, and drawing conclusions. The results of the study show that the implementation of prophetic values in shaping the character of prospective history teacher students can build and shape student character and morals such as religious character, discipline, tolerance, honesty, and responsibility. So that students have noble, respectful, and tolerant behavior.

Keywords: Implementation, Prophetic Values, Character

Abstract: This project proposes the use of stacked LSTM (Long Short-Term Memory) networks for developing an app that can provide users with accurate and reliable predictions of future stock prices based on historical data. Stacked LSTMs are a type of artificial neural network that are designed to analyse sequential data, such as time series data, and are well-suited to stock price prediction because they can effectively analyse the relationships between past and present price movements over long periods of time. The app will be developed using Python programming language and will utilize various libraries such as TensorFlow, Keras, and Pandas for data analysis and visualization. The user interface will be designed to be user-friendly, allowing users to easily access and view the stock data and predictions. In addition to the predictive model itself, this project aims to demonstrate the effectiveness of stacked LSTM networks for predicting stock prices. The app will be trained on historical stock price data from various sources, including Yahoo Finance. The results of this project may have significant implications for investors who rely on accurate stock price predictions for making informed investment decisions. By demonstrating the effectiveness of stacked LSTM networks for predicting stock prices, this project may help investors make more informed decisions about which stocks to buy or sell. Overall, this project aims to contribute to the growing body of research on machine learning algorithms for stock price prediction and provide users with an easy-to-use app for making informed investment decisions based on accurate predictions.

Keywords: LSTM (Long Short-Term Memory), Time Series Data, Min-Max Scaler, Sequential Data

Abstract: Cotton is the one of the cash crop of India .The total percentage of cotton that is grown in India is 67%. Cotton is grown where climate is uniformly high temperature between the range of 21 to 31 . The fiber is almost pure cellulose, and can contain minor percentages of waxes, fats, pectins, and water. Under natural conditions, the cotton bolls will increase the dispersal of the seeds. Cotton is known for its comfort and Softness. Cotton can catch fire due to small fiber in it. This two property makes cotton use for making Wicks. When wicks are immersed into oil it's absorb the oil. Diya are designed such that the one end of the wick remain up and other at the bottom, The down part of the wick absorb the oil and pass it to upper part. These wicks are required to have in specific cutting length and this is presenty done manually which is time consuming and more manual efforts for this in thispaper a automatic cotton wicks cutting machine designed and developed.

Keywords: Cotton, Cotton wick, Wick Cutting machine, Automatic cotton wick machine.

Abstract: Embankments play a vital role in the transportation infrastructure, serving as essential components of roads, railways, and airports. The stability and deformation behavior of embankments are influenced by various factors, including soil type, embankment height, and traffic loads. Geotextile reinforcement has emerged as a promising solution to enhance the stability and deformation characteristics of embankments. This research paper presents a comprehensive analysis of an embankment that has been reinforced with geotextile under different loading conditions, utilizing the PLAXIS 2D software. The primary objectives of the analysis are to evaluate the stability and deformation characteristics of the embankment and the geotextile reinforcement system. Furthermore, the study aims to determine the optimal geotextile properties, investigate the impact of various design parameters on the embankment's performance, compare the performance of the geotextile-reinforced embankment with a conventional embankment, and identify the optimal geotextile placement for maximum stability and minimum deformation in embankments. The analysis involved conducting numerical simulations using the PLAXIS 2D software, which is widely recognized for its ability to model soil-structure interaction. The geotextile reinforcement was incorporated into the embankment design by introducing appropriate material properties and boundary conditions in the numerical model. A range of loading scenarios, including static and dynamic loads, were applied to investigate the embankment's response.

Abstract: A vehicle door opening warning system for a car includes a sensor for sensing the approaching of another car from behind when a person is opening the car door, a car door-opening control unit alerts the passenger while opening the car door when the sensor senses the approaching of the other car from behind, and a warning light and a buzzer are activated to give a visual warning signal and an audio warning signal when the car door is being opened. Key Words- Ultrasonic sensor, Arduino, Dooring, buzzer.

Abstract: Prasol is a top producer of speciality chemicals, serving more than 50 countries with products for Paints & Coatings, Agrochemicals, Personal Care, Lubricants, Surfactants, Pharmaceuticals, and other industries. By combining our efforts to provide consistently high-quality products and first-rate after-sales support, we want to bring success to our customers. Our humble beginnings are anchored in the production of chemicals based on phosphorous, from which we further diversified into chemistry based on acetone, with a fully integrated value chain across the product line.

Abstract: Speed breeding has emerged as a promising technique for expediting the crop improvement process through controlled environments, genetic advancements, and high-throughput phenotyping. This methodology addresses the time-consuming nature of conventional breeding methods and has gained widespread recognition and adoption globally. In India, there is growing interest and investment in speed breeding research to cater to the country's diverse agricultural needs. The speed breeding methodology entails careful selection of plant material, the establishment of controlled environments, manipulation of lighting conditions, control of temperature and humidity, preparation and sowing of seeds, crop management, implementation of accelerated growth cycles, utilization of high-throughput phenotyping techniques, trait selection, breeding strategies, data analysis, and evaluation of new varieties. Major speed breeding encompass controlled environment agriculture, light manipulation, genetics and genomics, phenotyping and trait evaluation, crop-specific applications, breeding strategies, environmental stress tolerance, and data analysis and modeling. Challenges such as optimizing protocols for different crops, refining phenotyping techniques, integrating genomic tools, and addressing scalability and cost-effectiveness issues persist and require ongoing scientific investigation. The implementation of speed breeding holds substantial promise for revolutionizing crop improvement by expediting breeding cycles, enhancing genetic diversity, enabling precise trait selection, and developing resilient varieties. Continuous research, collaboration, and technological advancements will shape the future of speed breeding and its transformative impact on crop improvement efforts.

Keywords: High-throughput phenotyping, Nutritional quality, Speed breeding

Abstract: Physically challenged persons those who are suffering through different physical disabilities face many challenging problems in their day to day life for commutating from one place to another and even sometimes they need to have to be dependent on other person to move from one place to another. There have been many significant efforts over the past few years to develop smart wheel chair platforms that could enable the person for its ease of operation without any ambiguity. The main aim of our paper is to develop the smart wheel chair to make the life easier of physically challenged persons This voice-activated smart wheelchair has improved functions like voice control, electric power, queue following, obstacle avoidance, etc. The integrated AVR microprocessor ATmega328 smart wheel chair control unit also includes Bluetooth, GSM, ultrasonic, and infrared sensors, a temperature sensor LM35, and a motor driving circuit for managing the motor's speed.

Keywords: Arduino Uno ,LDR sensors ,LED, Bluetooth module ,Motor driver, ultrasonic sensors ,IOT.

Abstract: Instructional videos have become increasingly popular for sharing knowledge and providing step-by-step guidance in various domains, ranging from cooking and crafts to academic subjects and technical tutorials. However, these videos often contain a significant amount of visual content, making it challenging for users to quickly grasp the key information and instructions. To address this issue, the field of video summarization has emerged, aiming to automatically extract concise and informative summaries from instructional videos. This paper presents a comprehensive review and analysis of existing techniques for the summarization of visual content in instructional videos. We categorize the approaches into two main groups: frame-based and object-based methods. Frame-based methods focus on selecting key frames that represent the essential information in the video, while object-based methods aim to identify and summarize relevant objects or regions of interest within the video. We discuss various strategies employed by these methods, including visual saliency analysis, motion analysis, and semantic understanding. Furthermore, we explore the challenges associated with instructional video summarization, such as handling complex scenes, dealing with occlusions, and understanding temporal dependencies. We also highlight the evaluation metrics commonly used to assess the quality of video summaries, including content coverage, representativeness, and coherence. Additionally, we present existing benchmark datasets and discuss their limitations in capturing the diverse range of instructional videos. Finally, we provide insights into potential future research directions in this field, such as incorporating multimodal information, leveraging deep learning techniques, and exploring user preferences to personalize video summaries. By summarizing visual content in instructional videos effectively, we can enhance the accessibility and usability of these videos, allowing users to quickly grasp the key concepts and instructions. This survey serves as a valuable resource for researchers and practitioners interested in video summarization and lays the groundwork for further advancements in this area.

Keywords: Summarization, Visual Content, Instructional Videos, Video Summarization, Key Frames, Object-based Methods

Abstract: In India, approximately 11 Crore Indians travel by auto rickshaw daily. And one problem while traveling that most of them face is not having change money. Although some autorickshaw drivers have started accepting UPI but still there are many variables that come with UPI such as, the customer needs to have a mobile phone with an active internet connection, for that internet connection he/she needs to have an active recharge and the mobile data provider's network. And even after having all that, a UPI transaction can fail either due to server issues or if the number of transaction limit for UPI has reached. Therefore, there are many things that can go wrong with UPI. Therefore, we decided to make a machine that is currently in use in Metro transport to solve this problem...

Abstract: Butterflies are a crucial component of the environment due to their role in pollination,. They are also regarded as reliable ecological indicators because to their sensitivity to climatic and environmental changes. The characteristics that make these species so-called "bio-indicators of the area" include their great sensitivity to environmental changes, the relative ease with which they may be seen, and knowledge of their natural history. An important indicator of air pollution is the Air Quality Index (AQI). Considering that Rammohan College is located in the centre of Kolkata, AQI may have an impact on butterfly mortality, reducing the number of species (species richness) or individuals within a species (species abundance). After 5 year survey, we found that, 21 species of butterfly are present in the Rammohan College campus but there is no significant correlation between butterfly species richness and AQI (PM2.5,10,O3).

Keywords: AQI, Butterfly, Rammohan College, Environment, Audit

Abstract: Four arm star- shaped poly (lauryl methacrylate) and polystyrene were synthesized by atom transfer radical polymerization with "core-first" technique. Four arm organic initiator pentaerythritol tetrakis(2-chloropropionate) was synthesized and used in the CuBr catalyzed atom transfer radical polymerization of LMA with N-(n-octyl)-2-pyridinemethanimine (OPMI) as ligand and styrene with N,N,N',N'',N''-pentamethyldiethylenetriamine (PMDETA) as ligand. Polymers were characterized by GPC which shows that in both cases molecular weight increases with increasing conversion that indicate the living nature of polymerization. The star- shaped polymers were characterized by FT-IR and thermo-gravimetric analysis which shows that four arm star initiator was successfully used for the preparation of star- shaped polymer.

Keywords: Atom transfer radical polymerization (ATRP), "core-first" technology, N-(-n-octyl)-2-pyridinemethanimine, star shaped polymers, Gel permeation chromatography (GPC)

Abstract: Modernization of transportation has forever been an issue focused on the development of the fundamental infrastructure of a nation. Since the transportation represent one of the most effective modes of transport offered to the people, it would not be possible to merely keep increasing the fares to satisfy costs incurred due to maintenance and therefore the expansion activities. The transportation ought to consider upgrading itself to modern technologies for higher potency and price reduction. One such upgradation is that the role of knowledge technology and e-ticketing that is achieved with the assistance of face recognition technology. This technology has been extensively employed as a biometric method. The thought has evolved from a scientific study of the mechanization of transportation and therefore the loopholes within the everyday system. A straightforward theoretical model is projected that once enforced might lead to a better management of the tedious ticketing mechanism.

Keywords: Face recognition, Ticket Verification, k-Nearest Neighbors, OpenCV, Haar Cascade Classifier, CNN

Abstract: Xanthomonas axonopodis pv. citri (Xac) is the phytopathogen responsible for bacterial citrus canker. Twenty two strains of Xanthomonas axonopodis pv. citri (Xac)) were isolated from different Citrus growing areas of Marathwada region of Maharashtra state. Morphological, biochemical and pathogenicity tests were carried out to identify, characterize and determine the strains of bacteria responsible for Citrus canker. All the 22 bacterial isolates produced mucoidal colonies on Yeast extract-dextrose-CaCO3 (YDC) agar media selective media for Xanthomonas. Biochemical tests of the 22 bacterial isolates indicated that all the isolates were Gram-negative short rods, positive for Hydrolysis of Aesculin, Gelatin liquefaction, Starch hydrolyse, Milk Hydrolysis Tween80 lipolysis, Catalase, H2S production and Urease production , Oxidase test were showed variation negative weakely positive and positive . All isolates produced acid from Glucose,,Fructose where all isolates were fail to produced acid from Manose. The results of the study suggest variation in the pathogenic nature of these isolates 06 were highly virulent, 11 were moderately virulent and 05 were less virulent from different agro climatic zones of Marathwada region of Maharashtra state .

Keywords: Xanthomonas axonopodis pv. citri (Xac), Citrus canker, Citrus, Biochemical, pathogenicity, Pathogenic variability.

Abstract: This paper uses some fundamental concepts of physics, takes into account the uncertainties at quantum scale, applies the laws of thermodynamics and kinetic theory of gases and arrives at an inequality which provides a relation between time, extent and energy of a system.

Keywords: Heisenberg's Uncertainty Principle, Average Kinetic Energy, 1st Law of Thermodynamics, Total Internal Energy, Specific Heat, Universal Gas Constant, Avogadro's Number, Uncertainty in Position, Absolute Zero, Planck's Temperature, Dimensional Analysis

Abstract: This review paper examines the use of Geographic Information Systems (GIS) mapping for environmental protection in Rajasthan, India. GIS mapping technology integrates different environmental datasets, enabling the identification of environmental risks and implementation of strategies for sustainable development. The literature review section highlights various environmental protection applications of GIS mapping, such as land-use planning, natural resource management, and climate change mitigation and adaptation. Several case studies from different districts of Rajasthan demonstrate the effectiveness of GIS mapping in environmental protection. These case studies include identification of areas with high levels of air pollution due to thermal power plants, identification of potential sites for rainwater harvesting, support for the conservation of wildlife habitats, groundwater mapping, and support for the development of solar energy. The paper identifies the challenges of GIS mapping, such as data availability and accuracy, which are common issues in environmental mapping. The study concludes that GIS mapping is an effective tool for environmental protection in Rajasthan, providing spatially explicit information that can support decision-making related to sustainable development. This review paper provides valuable insights into the use of GIS technology for researchers and practitioners in the field of environmental protection.

Keywords: GIS Mapping, Environment protection, Environmental Impact Assessment

Abstract: Lung disease can be considered as the serious health problem in people's life. Pneumonia is impulsive life-threatening crisis due to lung collapse. Normally it is detected on chest X-ray. The treatment is dependent on timely review of radiographs. Chest radiography (Chest X-ray) is thus far effective, low- cost and broadly used medical imaging trials. The radiologists primarily did the diagnoses manually over each scan, with no automated assistance. The proposed system would greatly improve the efficiency of radiologists, with their knowledge to analyse the chest Xray images. This method uses deep learning approach to predict the Pneumonia lung disease from chest X-ray images. Input is given as chest X-ray image and after pre-processing, it will be fed into Convolutional Neural Network model for disease prediction. The problem can be cast as binary classification problem, where the output is either Pneumonia or Normal. The training model is developed with chest X-rays dataset which contains 5856 chest X-ray images. Keras and TensorFlow are used as tools for implementation.

Keywords: Pneumonia, Chest X-ray, VGG16, ResNet-50, Inception-V3

Abstract: This white paper presents the development of a real-time energy monitoring system installed at Level 17, Tower 2, Engineering Complex, University Tektology MARA (UiTM), Malaysia. The device and programming uses an Arduino microcontroller board, an ESP8266 Wi-Fi module, sensors, and the Emoncms.org web server to record and display real-time energy and power consumption, as well as energy costs. The device enables a three-phase measurement of energy consumption at the building level, where the main power source has been divided into several receivers, such as: B. lighting, socket. The device is able to download data at set intervals via Wi-Fi communication and connect directly to the local SD card for further analysis. The device was calibrated at the same time with a FLUKE 485 power meter to get a good, reliable result with less tolerance. The unit was installed and tested during a weekday and weekend test period to determine hourly energy efficiency by building level. The device was found to provide a reading with an average error of 2.04% compared to a commercial meter during the week-long test period.

Keywords: App Development, Energy Monitoring, Real-time, Power and Energy, Consumption, Energy Cost,Microcontroller,Arduino,ESP8266 Wi-Fi module,Sensors,Emoncms.org web server,3 Phase Measurement, Lighting, Power Plug, Wi-Fi Communication, SD Card, Calibration, Testing, Energy Performance, Error Tolerance, Energy Sources, Steam Engine, Electricity, Energy Conservation

Abstract: The smart voting system is an advanced technological solution that aims to enhance the efficiency, transparency, and integrity of the electoral process. It utilizes cutting-edge technologies such as biometrics, encryption, and digital platforms to improve voter authentication, streamline vote counting, and ensure secure and accurate results.In the smart voting system, biometric authentication methods, such as face recognition, fingerprint scanning, or iris scanning, are employed to verify the identity of voters. This helps to prevent fraud and impersonation, ensuring that only eligible voters can participate in the election.The system also embraces digital platforms and electronic voting methods to replace traditional paper-based ballots. This transition improves the speed and accuracy of result tabulation, reducing the time required for result declaration and minimizing human errors in the vote counting process.

Keywords: raspberry pi,Fingerprint Sensor,USB Camera ,Face Recognition Using Haar Cascade,Pre_Processing of Fingerprint Images,PC

Abstract: The rise of e-business has had a profound impact on economy of the nations, and algorithmic trading has emerged as a vital component in electronic trading. Algorithmic trading utilizes computer programs to automate trading processes, providing benefits such as increased speed, efficiency, and the ability to analyze extensive data sets. In algorithmic trading, the Heikin-Ashi technique is valuable tool for identifying market trends and predicting future stock prices. By filtering out noise from the data, this technique provides a clearer understanding of the underlying trend, enabling more accurate predictions and informed decision-making. Additionally, the Awesome Oscillator serves as a market momentum indicator that compares recent market movements to historical patterns. By combining the traditional Heikin-Ashi technique with the Awesome Oscillator creates a powerful trading algorithm. This algorithm analyses the current market trend, identifies color patterns using Heikin-Ashi technique, and utilizes Awesome Oscillator to assess market momentum. This inclusive analysis provides intraday signals for buying or selling, enabling traders to capitalize on market opportunities. This study contributes to the practical trading scenario and has the potential to enhance the financial growth of the nation by leveraging the benefits of algorithmic trading in the e-business landscape. It facilitates faster and more efficient trading strategies, attracts investment, and enhances market liquidity.

Keywords: Heikin-Ashi technique, Awesome Oscillator technique, market momentum, intraday signal