VOLUME 10, ISSUE 1, JANUARY 2023

Abstract: A crucial type of awareness in collaborative applications is group awareness, which refers to the information of the group and its members, such as their location, the tasks they develop, knowledge, interests, and feelings. To learn concepts related to group awareness, a training experience based on the model named Design-Based Learning was implemented. The goal of this work was to analyze the perception of Software Engineering students from the Autonomous University of Yucatan, Mexico, regarding the implementation of the experience using the mentioned model. The methodology used was exploratory, with a mixed approach through a case study. The results indicate a favorable perception of the students about their level of development of skills such as creativity, problem solving and organization for teamwork in the development of their solutions. As future work we intend to implement the model in several Software Engineering courses in order to measure its impact on student learning.

Keywords: CSCL, design-based learning, DBL, group awareness.

Abstract: ln the present-day scenes women safety is considered to be the major problem in both urban and rural areas. Women's safety is a very important issue due to rising crimes against women these days. To help resolve this issue we propose a women's safety system that provides self-defence and also consist of a device with salient features. This device consists of a system that ensures alerts in case a woman is harassed or she thinks she is 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: Women Safety, Self-defence, GPS, GSM, Watch, Application.

Abstract: The illegal copying of movies has been present from many years, to overcome this issue we are here to propose a system that uses IP cameras, Python/Matlab, and a standard general computer to detect the occurrence of piracy and alerting the respective personals about it. This system is expected to be a one-time installment and easily usable by the employee.

Keywords: Piracy, IP Camera, NVR.

Abstract: In today's modern life, the demand on electricity is greater than the production of it. One of the biggest issues that has been realized is that natural resources are going to be finished one day and a replacement is to be found. In order to overcome such problems, the use of renewable energy sources is very important. Renewable energy sources such as wind and solar has gained commonness and command over the last few decades. The output of these sources depends on the weather conditions Hence if, there is a combination of two sources then the desirable electrical power can be produced. In this proposed work, the design model of hybrid power generation system uses wind and solar resources. This system can be implemented on highways where the tremendous amount of wind energy can be collected due to high-speed motion of vehicles and the solar energy from the sun will also be collected and further can be used to power up automatic lights and also to charge an electric vehicle.

Keywords: Renewable Energy, Hybrid Power Generation System, Solar Energy, Wind Energy, Electric Vehicle.

Abstract: A Kissan-Kiosk is a computing unit which consists of both software and specialized hardware, through which we can access the bill status, bill payments, agriculture updates and soil testing and crop advisory for farmers. These in past looked like telephone booths, but now embraced by development they are trying to improve their services to the customers. These systems are largely placed in places having high transactions and places which are easily reachable by farmers like shops, hotel lobbies, and many more. Combining new technologies has enabled these to do many functions like bill payments, in this project Kiosks enable users to pay electricity bill, water bill, phone bill etc. We can extend the kiosks application for various platforms like tourist places to guide the tourists, railway stations to display the train information and ticket vending, in hospitals to vend medicines, in educational institutions to inform the campus information.

Keywords: Bills, Kiosk, Payment, pH, RFID, Schemes

Abstract: Big data frameworks which include Spark and Hadoop are broadly followed to run analytics jobs in each study and industry. Cloud gives low priced compute sources that are less complicated to manage. Hence, many businesses are transferring in the direction of a cloud deployment in their huge facts computing clusters. However, activity scheduling is a complicated trouble withinside the presence of diverse Service Level Agreement (SLA) goals which include economic fee reduction, and activity overall performance improvement. Most of the prevailing studies does now no longer cope with a couple of goals collectively and fail to seize the inherent cluster and workload traits. In this article, we formulate the activity scheduling trouble of a cloud-deployed Spark cluster and endorse a unique Reinforcement Learning (RL) version to deal with the SLA goals. We expand the RL cluster surroundings and enforcement Deep Reinforce Learning (DRL) primarily based totally schedulers in TF-Agent's framework. The proposed DRL-primarily based totally scheduling retailers' paintings at a fine-grained stage to area the executors of jobs at the same time as leveraging the pricing version of cloud VM instances. In addition, the DRL-primarily based totally retailers also can analyze the inherent traits of various forms of jobs to discover a right placement to lessen each the whole cluster VM utilization fee and the common activity duration. The consequences display that the proposed DRL-primarily based totally algorithms can lessen the VM utilization fee as much as feasible.

Keywords: Cloud computing, cost-efficiency, performance improvement, deep reinforcement learning, big data.

Abstract: A series isothermal adsorption data of normal coal and deformed coal from China have been transformed into the temperature-pressure-absorbing equation. At 42.0 °C temperatures and 9.0 MPa pressure, the adsorption amount of normal coal is 44.708 cm3/g with -0.6719 KJ·mol-1·cm-3·g unit isosteric adsorption enthalpy, and the adsorption amount of deformed coal is 43.41 cm3/g with -0.5202 KJ·mol-1·cm-3·g unit isosteric adsorption enthalpy. The normal coal should be absorbed first, then the deformed coal. The deformed coal should be desorbed first, then the normal coal.

Keywords: temperature-pressure-absorbing equation, unit isosteric adsorption enthalpy, unit isosteric desorption enthalpy.

Abstract: Nowadays for the majority of disorders, medications are the most basic form of treatment and prevention. With the use of the appropriate medication, many serious diseases can be treated and avoided. As a result, taking the medication at the prescribed time is necessary. There may be some bad impacts if a patient doesn't take his or her medications on scheduled time.To overcome this, a smart device called Medi Box encourages elderly people or patients to take their medicines on time. If the medication is not taken, the device will alert the caretaker. The box constantly verifies whether there are any medications left and notifies the caretaker accordingly. This device monitors the patient's health and alerts the caretaker in an emergency. Additionally, a set of parameters, including the patient's heart rate, temperature, and breathing rate, will be tracked using various sensors

Keywords: Medibox, Health care, Medicine, Dispenser, Health monitoring sensors.

Abstract: In this research paper, a system is proposed that focuses on the concept of how to control a robot with a human voice4300. Voice-controlled robots are just a practical example of controlling simple robot movements by giving routinely-used voice commands. The system uses his Android app as his medium for sending human commands to the microcontroller. The controller can connect to the Bluetooth module using the UART protocol. Audio is received by Android app and processed by the speech engine

Keywords: Robot, DC Motor, Robotic Arm, Stepper Motor, Gripper, Camera, ARDUINO UNO, ARDUINO IDE

Abstract: Harvesting energy from the environment responsibly is important. Conventional sources are depleting now a days so we are turning towards usage of renewable sources for various electrical applications. One of those most applications is lightening the streetlights. Hence our concept is to mimic the natural tree replacing the leaves as solar panels in all possible directions, electric power generated from those panels are fed into streetlights. Also, the system provides a power-saving mode of operation by adapting the method of automation. A dark sensor and a light sensor provides the automatic "ON"/"OFF" facility to the street lights so that it will glow automatically when it is required(i.e. when the surrounding will be dark) and will be turned "OFF" automatically if sufficient light is available in the surrounding.

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

Abstract: Forest is one among the major resources that takes crucial role in sustaining ecological equilibrium and environmental system that earned great importance in national and international level policies implementations. Forests are the large area dominated by medicinal plants, timber, agricultural implements, carts & accessories, aromatic, oil yielding, fodder, dye, resin, flavoring agents, vegetables, pulses, fruits, and others products. Hiriyur forest lands are classified into dense & open deciduous, forest plantations and scrub forests zones that are mapped and digitized by Survey of India topomaps (1975 & 2009); IRS LISS-III (2001 & 2005) and Sentineal-2A satellite images (2019) in ArcGIS software. Satellite images portray meaningful and valuable data in identifying the changes and real factors of forest degradation. Supervised classification techniques using maximum likelihood algorithm are considered to achieve best results as final output maps. Geospatial approach is a powerful tool in adding immense value for governance policies, empower sustainable development goals, serve in better business-action plans by timely observation of forest resources and its sustainability.

Keywords: Forest management; Change Detection Analysis; Hiriyur; Geospatial mapping.

Abstract: From recent earthquakes it is proved that many of structure are totally or partially damaged due to earthquake. So, it is necessary to determine seismic responses of such buildings. Also presence of mass irregularity in the structure may lead structure to the failure if not taken into account. There are different techniques of analysis of structure. Response spectrum analysis is one of the important dynamic method of analysis which will be used in this project work. This paper is concerned with the effects of various Mass and column stiffness Irregularity on the seismic response of a structure. The primary objective of the project is to carry out Response spectrum analysis (RSA) of vertically Mass irregular RC frames with column stiffness variation. Comparison of the results of analysis of irregular structures with regular structure will be done. Comparison of mass irregular buildings having different column stiffness will also be done. The scope of the project also includes the evaluation of response of structures for axial force, base shear, time period, storey drift and storey displacement.

Keywords: Response spectrum analysis (RSA).

Abstract: Real-Time Detection, recognition and audio announcement of traffic sign board is vital and might actually be utilised for driver help to decrease mishaps and ultimately an addon in driverless cars. In this paper Convolution Neural Network (CNN) is utilised to build a framework for Real-Time Recognition of Traffic Signs. The proposed framework works progressively to distinguish and identify Traffic Signs. The commitment of this paper is to an Indian Database of 85 Different Classes of diverse traffic sign boards in the Indian environment. These are gathered from irregular street sides. The pictures were taken from various points and included different boundaries and conditions. A sum of 7210 Images was compiled to form a dataset. CNN engineering was utilised with shifting boundaries to accomplish the best accuracy rates. The test results show that the proposed CNN engineering achieved an accuracy of 99.26% in this manner higher than those achieved in past investigations.

Keywords: Traffic Sign Recognition (TSR), Convolution Neural Network (CNN), Machine Learning, Accuracy and Validation, Open CV

Abstract: Traditionally, education assets are shared insufficiently, and up to date slowly; the education records aren't applied adequately. What is worse, the traditional information filtering technique can't successfully mine preferred information, if the huge records has a heavy noise. This article offers an information mining technique from education huge records, on the premise of aid vector machine (SVM), and cleans the sampled odd records via records integration and conversion. Besides, the authors supplied a technique that mechanically builds education expertise image. Based at the filtered and mined education records, a neural community turned into designed to retrieve the subject matters of lecture room expertise, and the education correlations among those notions had been diagnosed from the assessment records via way of means of opportunity correlation rules. The outcomes display our technique carried out fantastic outcomes on coaching belief retrieval and education correlation recognition.

Keywords: Knowledge mining, neural network, knowledge image, education big data.

Abstract: Newspaper articles about the global smuggling of trees like teak, sandal, and others are frequently read. These trees are more in demand, hence their price is higher. As a result of the huge profit that may be made from selling the wood of these trees, it is possible that they are being smuggled, which is against the law. Some actions must be made in order to restrict the smuggling of these trees. This system's primary goals are to minimize deforestation and limit smuggling in order to preserve precious trees and maintain a healthy eco-system.

Keywords: Tilt sensor, fire sensor, forest, trees microcontroller, WSN.

Abstract: Gamified learning is a teaching method that uses game-like elements and mechanics to engage learners and motivate them to learn. It is based on the idea that people are more likely to learn when they are motivated and when learning is presented in a fun and engaging way. Online games are a popular form of gamified learning, as they can be accessed from any device with an internet connection and can offer a high level of interactivity and engagement.

Keywords: Gamified learning, Learning Management System (LMS), programming, understanding

Abstract: Multi-point forming (MPF) is one of the flexible sheet metal forming processes. The prototyping of the automotive and aerospace, MPF is mainly used to reduce cost and time consuming. In this study, multi-point progressive forming (MPPF) type was modelled and analysed in finite element software Deform 3D. Sheet metal part of aluminium 1100 was used to form the desired shape. MPPF and conventional forming were compared according to tearing of sheet metal in simulations. The results show that MPPF was more appropriate forming type for this shape comparing the conventional forming. Tearing was also observed in conventional forming process.

Keywords: Finite element, Multi-point, Forming, Progressive, Sheet metal

Abstract: The manufacturing and marketing of counterfeit or duplicate products and goods leads to consequential financial, health and safety threat to end users. It also impacts on the economic growth of original manufacturers and businesses through revenue loss, product defamation, downtime, replacement expenses, forcing brands to spend money fighting counterfeits, trust among business partners can also be at risk, stealing sales etc. To overcome these crucial effects of counterfeiting, a blockchain based system is used in identification of original products and detects duplicate products to ensure the identification of original goods. In this work, with massive emerging trends in wireless technology, QR (Quick Response) codes and barcodes provides a robust technique to cut down the practice of counterfeiting the products. The fake products are detected using camera scanner, where QR or barcode of the product is linked toa blockchain in order to store product details and guaranteed unique code of each product as blocks in the database. If the code matches, the notification will be sent to the customer indicating the authenticity of the product and else if it does not match, a notification will be sent to customer that product is fake or counterfeited as well as to manufacturer about the place of purchase if customer accepts the request made by the application. This approach ensures that consumers won't completely rely on merchants to determine if products are original or forged Blockchain technology has opened the gate of creating decentralized applications, where security is a big concern. Here, any transaction ever held is recorded permanently. Over the years, some non-reputable sources have been publishing fake and attractive news stories. Due to the lack of any regulatory systems, this news cannot be verified. Hence, theseunreliable sources can publish whatever they want, and even in some cases, it makes chaos in society. In recent times due to the ease in internet availability and social media, inappropriate news can spread more quickly than ever before. In some cases, fake news is more attractive than the real one. Thus, people become misguided. Using the advantages of Blockchain\'s peer-to-peer network concepts, we will discuss a way to detect fake news in social media.

Keywords: Block chain, smart contracts, QR(Quick Response) code, anti-counterfeit.

Abstract: Different agrochemicals and botanical pesticides were used for the integrated Management of Carbendazim resistance in Aspergillusniger. It was studied by mixing different herbicides and plant part extracts which have antifungal activity were mixed in carbendazim. In vivo studies carried out. Carbendazim and effective concentration of selected Antibiotics extracts of Medicinal plants were mixed well and ber fruits were treated with this solution Plant extracts alone and in combination with carbendazim and other Insecticide were used individually and in combination with carbendazim for the management of Zizyphus fruit rot caused by resistant mutant of Aspergillusniger

Keywords: Aspergillus, niger, Carbendazim Resistant, Antibiotics Zyzyphus

Abstract: With the sharp increase in population and modernization of society, environmental pollution resulting from petroleum hydrocarbons has increased, resulting in an urgent need for remediation. Accidental release of petroleum products are of particular concern in the environment. Hydrocarbon components have been known to belong to the family of carcinogens and neurotoxic organic pollutants. Mechanical and chemical methods generally used to remove hydrocarbons from contaminated sites have limited effectiveness and can be expensive. Bioremediation is the promising technology for the treatment of these contaminated sites since it is cost - effective and will lead to complete mineralisation Bioremediation functions basically on biodegradation, which may refer to complete mineralization of organic contaminants into carbondioxide, water, inorganic compounds and cell protein or transformation of complex organic contaminanats to other simpler organic compounds by biological agents like microorganisms. Many indigenous microorganisms in water and soil are capable of degrading hydrocarbon contaminants. This chapter provides an overview of the recent literature to the usage of bacteria as biodegraders, discusses barriers regarding the implementation of this microbial technology, and provides suggestions for further developments.

Keywords: Petroleum hydrocarbon degrading bacteria, bioremediation, environmental pollution, carcinogens and neurotoxic.

Abstract: Machine learning is a set of algorithms and statistical models that computers use to perform required tasks. Machine learning can be used in many applications such as face detection, voice recognition, medical diagnosis, mathematical reasoning, traffic prediction, etc. The traffic area includes everything that can affect the traffic on the road, whether it is a traffic light, an accident, an assembly or even a road repair that can lead to a traffic stop. If we first get information close to all of the above and many daily situations that can affect the road, the driver or passenger can make a smart decision. It also contributes to the future of cars. In recent decades, traffic data has been generated extensively and we have moved to a big data concept for transportation. Brilliant visitor forecasting uses a few types of site visitor forecasting and they are still not good enough to meet real world applications. It is tedious to understand the correct direction of the road because the information available for the transport system is very complex. In this work, we have planned to use machine learning, genetics, soft computing and deep learning algorithms to analyze the big data of transportation system with a big reduction of complexity. In addition, image processing algorithms participate in traffic sign recognition, which helps in the proper training of autonomous vehicles. In the economic years, GPS Mobility has become popular in large cities to determine the percentage of traffic that uses central traffic management - distribution. The collected data can be used to build an idea that shows the current traffic in the city and can be used in the future to predict the traffic and the summary can be done.

Keywords: Traffic Environment, Deep Learning, Machine Learning, Genetic Algorithms, Soft Computing, Big Data, Image Processing.

Abstract: Formazan derivatives plays vital role in medicinal chemistry because of supreme biological activity. In this study formazan derivatives were synthesized in cold condition. Spectral interpretation was used to characterize the structure of synthesized compounds. Physicochemical properties were studied in binary solvent system using viscometric measurement. Increase in solute-solvent interactions was interpreted from increase in viscosity. Conductivity measurements and antibacterial activity against gram positive and gram negative pathogens were carried out for all derivatives in different solvent systems. E-Coli and S. Aureus shows good activity towards 3 -phenyl -(4 chlorophenyl)-5-phenyl formazan than 3 -phenyl -(4 nitrophenyl)-5-phenyl formazan derivative. The results obtained were interpreted in terms of electrophilic and nucleophilic nature of substituent attached to aryl group.

Keywords: Formazan derivative, Viscosity, Conductivity, Antimicrobial activity.

Abstract: The suggested study places particular emphasis on the difficulty of power transfer. Because wireless power transfer eliminates the requirement for a line for the transmission of electricity, this technique allows us to reduce complexity. Comparing this process to other systems can increase proficiency, reduce energy crisis, and lessen power loss. Wires are never used in wireless power transmission, therefore mishaps and electric shocks in the home are reduced. Instead than using cables to transmit power, this technology makes use of RF antenna.

Keywords: Microstrip antenna, Dc source, impedance matching, voltage converter.

Abstract: In urban areas the water supply to residence and commercial establishments are provided at a fixed flow rate. There are incidents of excess water needed by certain customers/users. In this project it is proposed to develop an embedded based remote water monitoring by recording the flow rates at the consumer/user end. In order to implement the proposed water supply system, each consumer end should be provided with an embedded based water flow monitoring system consisting of a microcontroller to record the flow rate using a flow sensor and it is also provided with an electrically operated solenoid valve to supply water to the consumers. It is proposed to employ a NodeMCU MODEM so that if the water reaches the Threshold value message will be delivered saying that water bill has been generated.

Keywords: Water meter, flow rate, water supply, embedded microcontrollers.

Abstract: Millets are a group of cereal grains that belong to the Poaceae family, commonly known as the grass family. Value-added products based on millets may be the distance between customer acceptance and need. Hence this study was taken up with the objective to develop multi-millet crackers, which are thin crackers, incorporating different millets namely pearl millet (Pennisetum typhoides) and sorghum (Sorghum bicolor) finger millet (Eleusine coracana), foxtail millet (Setaria italica), Kodo millet( Paspalum scrobiculatum), Proso millet (Panicum miliaceum), Brown top millet( Urochloa ramose), Barnyard millet (Echinochloa esculenta) , Little millet( Panicum sumatrense) as variants in wholegrain composite flour. The nutritional composition and shelf stability was analyzed by using standard protocols. The results revealed that products were high in protein content (11.04-17.54%),. Sensory evaluation showed that the finger millet incorporated product had low acceptability compared to the rest of the millets used. In conclusion, a shelf-stable traditional ready-to-eat snack can be developed using different millets which can be used as a functional food.

+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 EMPLOYEE RETENTION ANALYSIS IN CONSTRUCTION INDUSTRY JINISHA KP, SAFA CT, BASIMA PARVEEN TP An organization is a set up where individuals come together and work in unison to achieve a common goal. Individuals working together in an organization to earn their bread and butter as well as make profits are called employees. Employees are the lifeline of an organization and contribute effectively to its successful running and profit making. An organization cannot survive if the employees are not serious about it and are more concerned about their personal interests.In this era of hyperactive environment, the formulation and implementation of traditional human resource management (HRM) strategies and practices are not enough to retain talented workforce. Employee retention is considered as the heart of organizational successPeople have grown more demanding with respect to their jobs and duties. The basic aim of employee retention strategies and practices is twofold within the organizations. One is to reduce employee turnover and, second, to considerably reduce the associated expenses of hiring and training and orientation of the new employees. Downloads: | DOI: 10.17148/IARJSET.2023.10126 How to Cite: [1] JINISHA KP, SAFA CT, BASIMA PARVEEN TP, "EMPLOYEE RETENTION ANALYSIS IN CONSTRUCTION INDUSTRY," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10126 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 Promotion of employees is an important element of human resources management, and the core content of talent development, and play an important role in promoting the harmonious development of enterprises. Promotion of employees is difficult but very important and sensitive and comprehensive part there should be no mistakes. To avoid the adverse consequences caused by uncertainty, use the fuzzy comprehensive evaluation for promotion scientifically, which can get very good results. This is paper which will provide the in-depth description of difficulties in comprehensive evaluation, and according to the theory and method, and to construct a suitable fuzzy comprehensive evaluation model for promotion prediction of employees. Elected according to the model managers, capable of performing their job requirements. The article provides a good way for leadership of a company to address the issue of staff promotion.

Keywords: Attributes, Classification, Machine Learning, naïve bayes algorithm, Prediction.

Abstract: This paper exposes the contamination problem of the interior bay of Lake Titicaca in the city of Puno. The objectives of the research were: (1) Determine the average willingness to pay (DAP) on the part of the citizens of Puno for an improvement in the quality of the water of the contaminated bay, Propose a solution to the problem, establishing how this willingness could be captured to pay and what percentage this is of the average monthly sewerage payment. Data from a survey with a referendum-type format was used and the contingent valuation method was applied to determine the willingness to pay (DAP) for a change in water quality through the expansion and improvement of the current wastewater treatment plant. (construction of new lagoons). An average DAP of S/. 8.20/family/month, this is higher than the average monthly payment for sewerage for domestic use, which is S/. 7.91/month and therefore the DAP is greater than 100% of the average monthly payment for sewerage, for which it is convenient to capture this DAP in a payment vehicle expressed in an increase in the water rate.

Keywords: willingness to pay, contamination, Bahía interior, Puno, contingent valuation.

Abstract: The granitic gneisses of the Swarnagadde plateau located on the southwestern margin of Uttar Kannada district forming a basement complex of peninsular gneiss, have been examined in the field, mapped and interpreted on the basis of petrological and geochemical data. This was meant to categorize the rocks and to understand the tectonic setting in order to evaluate the crustal evolution. The chemical analyses were done using inductively-coupled plasma mass spectrometer. From the results obtained, the major element contents of granitic gneisses reflect their fairly homogeneous composition. Mineralogy of rock is dominated by plagioclase (49-62%), quartz (29-42%), K-feldspar (1-5%) and /or hornblende is in decreasing order. The granitic gneisses formed from medium to low grade metamorphism of granite and granodiorite witnessed at a late stage in the Precambrian records of the area. Tectonically most of the rock samples plotted in the field of volcanic arc granite+Syn-collisional granite rocks, which indicated that the protolith granite and granodiorite are volcanic arc magmas predominantly post orogenic development in island-arc to continental and collision zone.

Keywords: Granitic gneiss, Swarnagadde, tectonic setting, tonalitic, collision zone.

Abstract: One of the crucial fields in the contemporary technology world is sentiment analysis. Sentiment analysis, a branch of text mining, is the study of extracting feelings and emotions from actual data. Textual sentiment analysis can be helpful for many different decision-making procedures. Social media comments, on the other hand, frequently use scripts that are not their own and do not strictly adhere to grammar requirements. Hinglish, a language that combines Hindi and English, is widely used as an informal writing language in India. based on aspects In the realm of artificial intelligence, sentiment analysis from Hinglish text is a difficult challenge to solve. The most current advances in sentiment analysis from English text, code mixed text, and other issues associated with the same have been described in this work. The categorization of aspect-based emotion is the primary difficulty faced by the Hinglish text model. Therefore, it is crucial to select the right categorization model. This study reviews prior work and describes many sorts of aspects of emotion text data and the extraction methods related to them. Analyses of the reliability of several classification methods were also conducted. Additionally, language and textual characteristics of several ML approaches were analysed for actual word analysis.

Abstract: Cervico-vaginal prolapse was reported in a she buffalo aged 6 years. The cervico-vaginal prolapse is very common in buffalo but along with abortion, it was more complicated and challenging task because of continuous straining by the animal however finally removed the dead fetus and fetal membrane and repositioned the prolapsed mass successfully. The recurrence was prevented by using deep horizontal mattress technique. A good prognosis is assured with prompt replacement of prolapsed mass with sufficient care.

Keywords: abortion, buffalo, cervico-vaginal prolapse, management.

Abstract: Aluminum and its alloys such as Al6061 have many characteristics like low density, high electrical and thermal conductivity, and resistance to corrosion. The addition of cerium to some alloys led to improve the structure and mechanical properties of alloys. Through the thermal erosion process of Electrical Discharge Machining (EDM), an electrically-produced spark vaporizes materials that are electrically conductive. This paper examines the viability of improvement of material removal rate in electric discharge machining of AL6061-%0.5Ce. For the purpose of this research, a copper electrode with a 500μm diameter was utilized. The performance measures of the machining process were investigated regarding the material removal rate (MRR). Current, pulse on time, and polarity were the process parameters. Findings showed that current and pulse on time are significant parameters.

Keywords: MRR, Al6061, EDM, Copper .

Abstract: Learning history is one of the studies of science that examines human beings as a whole with high culture. History lessons also discuss unique character values. As for today, learning history faces new challenges, namely the development of the era of society 5.0, where in this era there are several competency skills needed by students, namely: (1) life and career skills, (2) learning and innovation skills, and (3) information media and technology skills. The 21st-century skills disseminated by the Director General of Elementary and Primary Education of the Ministry of Education and Culture consist of four types of skills, namely: (1) critical thinking skills and problem-solving (Critical Thinking and Problem-Solving Skills) (2) communication skills (Communication Skills), (3) creativity and innovation (Creativity and Innovation), and (4) collaboration (Collaboration). These 21st-century competency skills need to be applied to students in schools in order to face the challenges and demands of life in the era of society 5.0. The learning of 21st-century competency skills can be carried out using a constructive paradigm learning model, which is student-centered and experiment-based, namely: inquiry training, jurisprudence inquiry, group investigation, and project-based learning. The purpose of this research is as a means of sharing information with educators to carry out professional development activities on an ongoing basis so that their professional competence remains in line with developments in science, technology, arts, and culture so that educators can create creative and innovative learning and develop learning models, quality relevant to the needs of the times. This research produces two topics of discussion, namely civilization society 5.0, and the learning model of civilization society 5.0 which is in line with the competence of 21st-century skills.

Keywords: Era society 5.0, Learning History, 21st Century

Abstract: Reliability is very important factor for judging software quality. A number of researchers have proposed qualitative and quantitative approaches to measure and improve the reliability of software. In systematic literature review, a plethora of reliability improved models have been used to evaluate it. The factors of the reliability model along with the part of faults issues at design stage have been presented in this paper. "Reliability Estimation Model" has been developed by establishing the co- relationship among reliability factors with fault issues and reliability, mitigating the relationship with the help of statistical observation. This paper helps to designer for developing of reliability estimation model to access and evaluate reliability for software quality.

Keywords: Software Quality factors, Design Metrics, Fault Perspective, Software Reliability

Abstract: In many countries over a century ago, water hyacinth was offered as a lavish harvest due to its attractive appearance and aesthetic appeal. Tragically, due of their adaptability to a variety of crisp water ecological communities and their resistance to human activity, the blooms developed into invasive species. They were viewed as an alternative to petroleum derivatives in the twenty-first century, with the same number of experts finding them capable of converting their substance into fuel energy at a lower cost and regarded as an environmentally friendly product. Given that water hyacinths are among the group of plants that grow the fastest, their biomass may one day replace conventional petroleum derivatives as a source of sustainable energy, probably within the next 10 years. This is a fundamental task to overcome the depletion of energy supplies and, in addition, to satiate the growing demand for energy around the world. The dried biomass can also be made into briquettes, which are suitable for use as co-terminating operators in coal control plants, rather than fuel energy. Future compacted biomass buildups delivered as briquettes may reduce the reliance on coal to provide more energy. Another use of water hyacinth as a co-manure material, such as soil improvement for sandy soil, can improve hydro-physical, concoction parameters of soil and will provide the growing yields with some supplements. Because of its ability to bioremediate, or remove poisons from home and modern waste water effluents, water hyacinth has also received attention. As a result, the water hyacinth problem needs to be evaluated from a variety of perspectives, including ecological, building, and vitality. In this study, potential uses for water hyacinth are organised and discussed.

Keywords: Bio-plants, Renewable Sources, water hyacinth

Abstract: Food adulteration is a serious issue plaguing the health and safety of many individuals. It is the process of deliberately changing, adding, or removing a food ingredient without the consumer being aware, thus altering the nutritional value of the product. It can occur on purpose or inadvertently due to poor hygiene, and can greatly increase the likelihood of serious illnesses such as food poisoning and more. Furthermore, food adulteration can occur through the use of substandard ingredients. For example, many food manufacturers are known to use lower quality ingredients in order to cut costs, leading to compromised nutritional values and taste. Though food adulteration can be difficult to detect, there are some telltale signs of adulterated food. Food that has been adulterated may smell strange or have an unusual taste, colour, or texture. Additionally, food labels should alert consumers to the presence of unhealthy additives, expired ingredients, and other dangerous components. In conclusion, food adulteration is a serious issue that affects both the health and safety of individuals as well as the quality of food products. While it can be difficult to detect, understanding the signs of adulteration can help consumers stay aware and make healthy choices when purchasing food items.

Keywords: Daal, adulteration, colour and size data, sorting, image pixels.

Abstract: The technique of passport verification which is currently used in the airports involves manual checking and it is time consuming. Another major issue with the conventional paper passport is that, it can be forged or duplicated easily. The proposed system consists of two level of authentication. In the first level of authentication, the RFID (Radio Frequency Identification) module is used which involves both RFID tag and RFID reader. The second level of authentication is the face recognition. In this the passport holder's face is captured and is verified. The two levels of authentication increase the level of security and safety. This system is proposed in order to decrease the duplicating of the passports which leads to various illegal activities. Also, the verification duration is reduced with the use of e-passport. The face recognition is implemented which increase the efficiency of the e-passport. The technologies such as RFID, IoT and face recognition can be used effectively to replace paper passports by portable e-passports.

Keywords: Authentication, e-passport, face recognition, IoT, RFID.

Abstract: The elderly must be given their medication and nourishment on schedule. Those who take their pills and eat food without careful professional supervision are the target audience for an automatic medication dispenser. As they are more likely to forget to take their medications on time, elderly persons must adhere to their medical regimens. Additionally, this technology keeps track of the patient's blood pressure and temperature while informing the nurse of their condition.

Keywords: Pill dispenser, Arduino-uno, buzzer, temperature sensor , BP sensor

Abstract: This review paper provides a comprehensive overview of tin sulphide (SnS) and doped tin sulphide nanoparticles, focusing on their applications in nonlinear optoelectronics. The synthesis methods, structural and optical properties, and various doping strategies are discussed in detail. The paper examines the nonlinear optical properties of these materials and their potential applications in areas such as optical limiting, harmonic generation, and photovoltaics. Recent advancements and future prospects in this field are also explored, highlighting the promising role of SnS and doped SnS nanoparticles in next-generation optoelectronic devices.

Keywords: Tin sulphide (SnS), nanoparticles, nonlinear optics, doping, optoelectronics, optical limiting, harmonic generation, photovoltaics, quantum confinement, third-order nonlinear susceptibility