VOLUME 8, ISSUE 5, MAY 2021

Abstract: Beginning with "What the Virus is?" How it is spread and transmitted through a medium such as air and in conformance with the title, the 'Physics' of spread of the virus is extensively explained by means diagrams and illustrations exclusively prepared by author.

Keywords: Compression (Condensation), Corona Virus, Rarefaction, Longitudinal Waves, Transverse Waves, Waves, Velocity of Sound

Abstract: Dioscorea bulbifera L belongs to the family Dioscoreaceae a native to tropical Asia and sub-Saharan Africa. It is found throughout India particularly in warmer places and positional therapeutic uses. It contains flavnonoids, steroids, and cardiac glycosides like phyto constituents. The current works deals with the study with regards to cultivation of this wild medicinal plant and its domestication. Vegetation of plant height and branches were focused in different replicate to find out the significance level of growth in each case. Tabular and graphical data reveals and represent the information regarding agro-culture practice for said plant.

Keywords: Dioscorea bulbifera, Air potato, Cultivation, Medicinal Plant, Dioscoreaceae, vegetation, height and branches.

Abstract: Valves are mechanical or natural devices that control, regulates, or directs the flow and pressure of a fluid (liquids, gases, slurries) within a system or process by opening or closing various passageways. They are very essential components of a piping system in homes as well as at industry levels. Different types of valves are available: plug, ball, diaphragm, pinch, gate, globe, butterfly, etc. These different valves have different features and functions. Unlike other valves, the moving part of this new valve moves linearly up and down inside the body. This paper attempts to explain clearly the working principle of a new mechanized valve, its advantages, and its practical implementation. Computational design is carried out in 2D and 3D using SOLIDWORKS and ANSYS software. In SOLIDWORKS 2D and 3D model of the valve is created and assembled while in ANSYS, Finite Element Analysis of the valve is carried out.

Keywords: Plug Valve, Diaphragm Valve, Pinch Valve, Finite Element Analysis.

Abstract: Drilling as we all know is a vital part in manufacturing all machines be that a simple hanging bar to one of the most complex rockets. Quite possibly the most important parts of drilling are a drill bit. So, it is vital to strengthen this important aspect to ready it for any use. Our fundamental objective behind this paper is to study the drill bit in detail while doing analysis using ANSYS and testing various materials with different moments and on different work pieces. We will likewise concentrate some of the unconventional types of drilling which paves the way for future of drilling for example, high energy plasma drilling. Our main spotlight will be on deformation and stress analysis using titanium drill bit on Al 1100-O and later we will analyze many more materials such as structured steel and high strength steel. The significance of this analysis becomes more important as it reduces various expenses and labor effort.

Keywords: Manufacturing; Drill bit; Titanium, structured steel, HSS Drill Bit; Ansys

Abstract: A mathematical model of magnetohydrodynamics turbulent boundary layer fluid flow past a vertical infinite cylinder with Hall current is considered. The fluid flows along the axis of the cylinder. The fluid flow is impulsively started and the flow problem is subsequently analysed. The flow is modeled using the momentum and energy conservation equations. The Reynolds stresses arising due to turbulence in the conservation equations are resolved using Prandtl mixing length hypothesis. The equations are then solved by a finite difference method. The effects of flow parameters on the primary velocity, secondary velocity and temperature profiles are investigated. While the effect of Hall current on Primary velocity was not observed due to turbulence there was decreased secondary velocity profile when Hall parameter was increased. Primary velocity profiles increased wit increase in Grashof number and temperature profiles decreased with an increase Prandtl number.

Keywords: Turbulent flow, Magnetohydrodynamics, Vertical cylinder, Free convection, Finite difference

Abstract: Cloud computing is growing widely and first-rate promising technology. Cloud computing is defined as storing the data and accessing data over internet, it does not store any data physical devices (Hard Disks). In this service we can store the data through internet and access it from anywhere. It has aroused the priority of the computer society of complete world. There are three types of cloud computing: 1. Infrastructure as a Service, 2. Software as a service and 3. Platform as a service. There are so many Cloud Services Providers in those some cloud providers are used widely thy are AWS (Amazon Web Services), GCP (Google Cloud Platform), Microsoft Cloud, IBM Cloud, Oracle Cloud, VMware and many more. In this paper we learn about AWS and some mostly used compute services in this AWS. AWS is a Cloud Provider; they provide servers and services that you can use on demand and scale easily. AWS has revolutionized IT over time.

Abstract: The study aimed at examine the effects physical resource challenges facing airports and seaports development projects in Zanzibar. However, there was inadequate information on how physical resources determines the performance of airports and seaports development projects in Zanzibar. The study adopted positivism research philosophy, explanatory, and descriptive cross-sectional research designs. Also, quantitative data were collected by the use of questionnaires. The questionnaire was administered to 214 respondents all randomly drawn from the five projects selected in Zanzibar. Multiple linear regression models were used to analyse and test the hypotheses. The study found that the effect of physical resources on the performance has a positive contributed to the performance of airport and seaports development projects. The study recommends that the government should enforce and strengthen the policy on acquisition of physical resources for public development of airport and seaport projects. Key words. Physical resources, Seaport and Airport, Development projects, Performances

Abstract: Ethylene oxide is important petrochemical used for the production of Ethylene Glycol. Manufacturing of Ethylene Oxide emits carbon dioxide due to its side reaction. Carbon di oxide emission is major concern globally. Out of total emission, 36% emission is attributable to manufacturing industries including chemical industry. Energy conservation practices will reduce CO2 emission caused by energy use. For reduction from non-energy use, selection of alternative technology, improvement in catalyst selectivity, waste heat recovery plays very important role. In the present paper an attempt has been made to recovery of ethylene from purge gas is studied which otherwise will convert into carbon dioxide. Membrane separation is used to recover ethylene gas from purge gas. Recovered ethylene can be used again in the process for the production of ethylene oxide. This recovery will be helpful to reduce carbon footprint of Ethylene Oxide process.

Keywords: Ethylene oxide, Carbon dioxide, membrane separation, ethylene, purge gas

Abstract: The present investigations deal with to evaluate seasonal changes in protein content of muscle tissue of healthy, naturally infected and artificially Fungal Infected Channa punctatus and Claraus batrachus during August 2011- March 2013. Seasonal variation in protein content of muscle tissues of fishes has been analyzed during the study period. The highest muscle protein content was recorded in summer and the lowest in winter season. The muscle protein content was high from March to July and low during September to February. It is further observed that as fungal infection increased protein content decreased. The results indicate that the protein content of the fish depends on season but also to a great extent in reaction to food and reproductive cycle. The present study is the first to describe the seasonal variation in the protein content of muscle of freshwater fishes of Wadali Lake, from Amravati.

Keywords: Freshwater fishes, muscle protein content, seasonal variations.

Abstract: Tinospora cordifolia (Willd.) Miers ex Hook F & Thoms, commonly known as Giloe or Guduchi has many medicinal important in folk as well as modern medicine. Plants different parts were used in many aliments and facing over exploitation due to use from wild sources. The demands is more which cant not fulfilled only from wild sources and hence needs to cultivate this wild plants. The current work is based on the cultivation of wild medicinal plants Tinospora cordifolia which helps to cover demands of drug preparation. The pants subject into control garden cultivation in departments and shoot or stem growth and root growth rates were studied. The tubular and graphical data helps to understand the growth pattern like time and length which helps to understand time and maturity during harvesting.

Keywords: Tinospora cordifolia, Cultivation, Medicinal Plant, Guduchi, Vegetation, Height of Stem and Growth of Root.

Abstract: Universities have adopted information systems replacing manual processes and thus simplifying work and increasing capacity which in turn has led to increased efficiencies. Information systems are useful in collection, processing, storage, retrieval and communication of information to the relevant users in a timely manner. Adoption of information systems come with the challenge of maintaining security. Various controls have been enforced to ensure that the systems are protected and thus enhance data confidentiality, integrity and availability. According to the United Kingdom General Data Protection Regulations, all data in a university must be protected from unauthorized access. However, data insecurity is still reported in many institutions of higher learning. Institutions are having challenges in monitoring revenue and tracking students' academic progress risking the credibility of the awards given while students are made to reseat examinations due to missing marks and pay fees already previously paid. This study sought to establish the influence of information systems security controls on data security in universities in Kenya. The study was guided by the following specific objectives; to determine the influence of administrative controls, technical controls and physical controls on data security in universities in Kenya. The study was carried out at Kiriri Women's University of Science and Technology. A descriptive research design was used for the study. Using purposive sampling technique, a sample of 55 respondents was included in the study drawn from the population of 122 information system users. The researcher used a questionnaire for data collection which was tested through a pilot study to establish the validity and reliability. The data collected was analyzed using the Statistical Packages of Social Sciences 21 (SPSS) program. Frequency distributions, percentages, correlation and regression analysis were computed and interpretations made. The findings were presented in tables and figures were be accompanied by detailed explanations. The studies established that administrative, technical and physical controls are correlated to data security in information system used in universities. From the data analysis, administrative, technical and physical control were all positively correlated to data security at; technical controls (r=.798, p=.000), physical controls (r=.575, p=.000) and administrative controls (r=.390, p=.005) at 0.05 significance level. Regression analysis established an adjusted R2=.727 implied that 72.7% of the changes in the level of data security in the university's information systems can be explained by the changes in administrative, technical and physical controls. As such, enhancing these controls to a large extend help in mitigating data insecurity in information systems used in universities in Kenya.

Keywords: Data Security, Administrative Security Controls, Technical Security Controls, Physical Security Controls.

Abstract: The history of Indian banking industry is very old. The intervention of machine and technology has come into place for the last one or two decades. That's why for many years, the approach of Indian banking system was traditional in nature. But it had certain drawbacks. So, RBI has introduced certain kind of reforms in the banking system in order to remove the bottlenecks and to make the process hassle free. The main objective of this paper is to understand various reforms introduced in Indian banking industry and discuss how it helped to create opportunities and find solutions for the challenges, faced by the banking industry in India.

Keywords: ATM, IFRS, BASEL III, Banking reforms

Abstract: The need for rehabilitation, repair and strengthening of concrete structure has increased worldwide with a growing number of systems employing concrete jacketing, various retrofitting techniques, externally applied fiber-reinforced polymer (FRP) composites, etc. For structural applications, an overview of the different FRP composites are provided by various polymer composites and in civil structures FRP composites are used to restore or strengthen the building block. This paper is focused on investigation of the ability of woven carbon fiber reinforced fabric packaging to improve the strength of various building components. To this end, few concrete cubes were poured and were wrapped in carbon to verify the increase in strength. The strengths of cubes with carbon fiber wrapping and without carbon fiber wrapping were compared and the results were observed to have increased in strength for the carbon fiber wrapped cubes. A non-destructive Rebound Hammer test was performed on this column and later it was wrapped in a carbon fiber cloth to increase its strength. In addition, the expense of the two methods i.e. concrete jacketing and carbon fiber wrap was compared and carbon fiber wrap was found to be economical than the other method. In both cases, the resistance was found to be greater than the initial resistance. Therefore, carbon fiber has proven to be effective in both.

Keywords: Carbon Fibre, Carbon Fibre Reinforced Fabric, Strengthening of members

Abstract: One of the properties of epoxy prepregs is the so-called Out-Life, defined as the maximum accumulated time allowed at room temperature between removal from the freezer and cure. Here we investigate the influence of methoxypropanol addition on the Out-Life of DICY / Uron based epoxy prepregs.

Keywords: composites, epoxy, prepreg, methoxypropanol, out-life

Abstract: Addition of light stabilizers/UV absorbers can extend the life and hence, improve the appearance of the carbon/epoxy laminates. Selection of a light stabilizer/UV absorber largely depends upon the substrate to be protected, its envisioned functional life and its sensitivity to photodegradation.

Keywords: composites, epoxy, prepreg, UV, aging

Abstract: The unsteady open channel flow conditions are described using the Saint-Venant equations, which regulate the flow in an alluvial stream. A one-dimensional mathematical model for calculating channel bed aggradation and degradation has been developed. In this analysis, the Mac-Cormack explicit finite difference scheme was used. This scheme is second-order accurate, manages shocks and discontinuities in the solution without special treatment, and allows simultaneous solution of the water and sediment equations, which eliminates the need for iterations. The addition of clear water flow to a stream that was previously in equilibrium leads to degradation of the bed and banks. Similarly, withdrawing clear water flow from an equilibrium stream causes aggradation. These processes will proceed until a new equilibrium is reached. The present study investigated the problems of aggradation and degradation caused by the removal and addition of clear water from/to an alluvial stream of constant width and in equilibrium. In the case of aggradation and degradation channel bed consisting of uniform sediments, the transient bed and water profiles were predicted using the developed mathematical model. The data of Yadav (1992) were used for the verification of model. The model is able to predict transient bed and water surface profiles satisfactorily.

Keywords: Numerical modelling, Aggradation, Degradation, Mac-Cormack finite difference scheme, Alluvial channel

Abstract: Malaria is a disease caused by protozoan parasites of the genus Plasmodium that are transmitted through the bites of infected female mosquitoes. It mainly infects the red blood cells in the human body. Initially malaria may cause no symptoms but gradually it may throw up symptoms such as vomiting, headaches and eventually may result in coma. Some current malaria detection techniques include manual microscopic examination and Rapid Diagnostic Test. These approaches are vulnerable to human errors. Early detection of malaria can help in reducing the fatality rates and examination of features in blood cells may aid in vaccine development. This research work focuses on identifying the type of plasmodium using suitable machine learning model that would classify the type of plasmodium with greater accuracy. Binary classification using machine learning algorithms namely Convolutional Neural Network (CNN), Support Vector Machines(SVM), Random Forest(RF), Decision Tree(DT) and ensemble technique are implemented to predict the model with higher accuracy. A comparative analysis is performed to find the model with greater accuracy. The comparative analysis reveal that the CNN model has outperformed the other models with highest accuracy for each of the species classification.

Keywords: Histogram Oriented Gradients, Gabor, Kaze, Support Vector Machines, Decision Tree, Random Forest, Ensemble model, Convolutional Neural Network.

Abstract: Recent advancements in hyperspectral imaging provides end users with spectral, spatial and temporal information about the data. Spectral data are captured by hyperspectral sensors. The spectral values plays vital role in various applications for detection, recognition, classification, anomaly detection etc. Since each object has its own spectral signatures, hyperspectral imaging has gained more interest in the research and has brought significant development in agriculture, military, medical diagnosis, and forensic applications. In this paper basic aspects of hyperspectral imaging such as classification, spectral unmixing, target detection and change detection are discussed.

Keywords: Hyperspectral Imaging, classification, spectral unmixing, target detection and change detection.

Abstract: Sizing optimizes the processability of carbon fiber. Although sizing is a small percentage of fiber reinforced composites -normally 0.5 - 5% of its weight- it affects the production and the processing of the fiber, and has a significant impact on the interface properties between the fiber surface and the composite matrix.

Keywords: composites, epoxy, carbon, sizing, prepreg

Abstract: The concept of the quantum internet shall be to profoundly improve Internet technology by allowing quantum communication amongst any two points on Earth. Quantum technology, as well as research, will open up the door to all types of new possibilities and opportunities. Some of those possibilities include the speed of communications, Although the first implementations of small-scale quantum networks are anticipated in the foreseeable future, scaling those networks presents enormous challenges for fields such as physics, computer science as well as engineering. This has important implications for a wide variety of fields from the weather forecast to healthcare research as well as the development of Artificial Intelligence, not to mention that the previously known effect on cybersecurity and the ability to break existing encryption methods. At this moment, we are convinced that the quantum Internet will have the ability to do incredible things, considerably faster than the traditional Internet. The great advantage of quantum communication is that it is much more secure than everything else. The internet could look ahead to a bright future with the new quantum technology hacking proof exchange of information as well as superfast data processing is going to become possible. Such a significant breakthrough will provide them with a competitive edge in a hopeful technology and opens a new universe of innovations and unlimited opportunities. In this paper, we offer an overview of benefits anticipated on the Quantum Internet. In this paper, the author presents the fundamental ideas of quantum physics, describes the concepts of quantum repeaters, and the mechanism of a quantum Internet. Particular attention is given not just to the technical problems implicated, but additionally to the potential impact on society. The purpose of this paper is to provide a straightforward understanding regarding Quantum Internet as well as how it developed, and the advantages of Quantum Internet.

Keywords: Quantum Networks, Artificial Intelligence, Qubits, Quantum Internet, Quantum key distribution (QKD), Quantum Computing, Quantum Communications.

Abstract: Cancer is one of the main diseases around the world. Many cancer patients die every year due to late diagnosis and treatment. Hence, lately, early cancer recognition frameworks dependent on histopathology slides are sought after. With the advancements in technology, deep learning has rooted its applications in various domains. In this project, a comparison between pre-trained models with customized models is performed, which adapts the CNN model and ResNet for feature extraction to the problem at hand. The convolutional neural network which is known as profound learning architecture has accomplished amazing outcomes in numerous applications. Working on histopathology images requires high tuning while pre-processing images to obtain high accuracy while classifying. While using CNN, due to the increase in parameters the model might get highly complex. Hence, we experiment using ResNet to overcome these problems and evaluate the models. Broad examinations on a freely accessible histopathologic cancer dataset of lymph nodes are completed and the precision scores are determined for execution assessment on the two models.

Keywords: CNN, ResNet, Histopathology, Cancer.

Abstract: Technological advancement and need have produced number of widely used Portable Electronic Devices (PEDs) such as mobile phones, laptops, tablets and wearable electronic devices. Ability of these devices to collect, process and disseminate information, has brought great convenience in every field of life. For their working, these PEDs require stable operating, safe, efficient, large capacity and long-life energy sources for which rechargeable batteries are used. Rapid development and higher requirements of PEDs have led to progress of battery technology from lead acid to nickel cadmium (NiCd), to nickel metal hydride (Ni-MH), to lithium-ion (Li-ion) batteries. This paper reviews various parameters and development of these rechargeable batteries over the time.

Keywords: PED, rechargeable battery, lead acid, NiCd, Ni-MH, Li-ion.

Abstract: The development of new infrastructure aimed to stimulating economic growth, often disrupt existing facilities. The construction of toll roads in the Northern Sumatra, for example, passes through a 12 inches transmission gas pipeline that connects Kawasan Industri Medan (KIM) - Kawasan Ekonomi Khusus (KEK) Sei Mangkei. This causes crossings at six location points and results in additional loads on the gas pipelines which were not previously calculated. Therefore it is necessary to relocate the gas pipeline. However, there are many risks that might occurred in relocating gas pipeline. Hence the risk assessment must be considered to find out which risk variables have the highest influence on this gas pipeline relocation. The result of risk analysis indicates this gas pipeline relocation as a whole has moderate risk status, with safety & security risk category relating to safety in doing work, both during construction and operation, being the risk category that has the highest risk. There is a potential loss from gas sales and distribution of USD 55.223 per year if gas pipeline is not relocated, by assuming there is only one damage occurs per year at each of crossing points (six crossing points) and requires seven days repaired time of each. And also there is a potential loss of USD 320.132 if gas pipeline is relocated but the risks are not mitigated. Although risk mitigation requires an additional cost of USD 45,596 to mitigate 23 risk variables, however these costs can provide a potential cost savings of USD 274.536 compared to if the risks in this gas pipeline relocation are not mitigated.

Keywords: Gas Pipeline Relocation, KEK Sei Mangkei, Risk Analysis

Abstract: - With increasing population of India, increasing birth rate and decreasing death rate due to advancement in the medical field it's found that numbers of doctors are less to serve the need of the increasing population. This scenario can be better understood while walking through the cities government hospitals where the less availability of the doctors is the major cause behind the improper treatment of the patients and in certain scenario the resultant death. Sometime even doctors can make mistake in providing the correct treatment result in death of patient. To encounter such cases there is a need of the smart and Intelligent chatbot who can provide advice to the doctors and sometime even patients about what to do in such cases which ultimately results in the saving the life of hundreds of people. The AI based medical chatbot on which this research topic is based deals with providing medical advice in such scenario because sometime doctors can even make mistake while observing the symptoms but the machine which is specifically developed for it can't make such mistake. This AI based medical chatbot can take decision as per the request of the patient by using its database. Through chatbots one can speak with text or voice interface and get answer through AI. A chat bot will communicate with a real person. chat bots are utilized in applications, for example, web based business client support, call centres and Internet gaming. Chatbots are programs built to automatically work on the received messages. Chatbots can be modified to react a similar way each time, to react contrastingly to messages containing certain keywords and even to utilize machine learning to adapt their reactions to fit the situatuion.Increasing number of hospitals, nursing homes, and also private centres, as of now use online Chatbots for human services on their sites. These bots interacts with potential patients visiting the site, assisting them with finding specialists, booking their appointments, and getting them admittance to the right treatment. Regardless, the usage of Artificial Intelligence in an industry where people's lives could be in question, in any case begins hesitations in people. It raises issues about whether the task mentioned above should be given to human staff. This healthcare management chatbot system will assist hospitals with giving medical care support online 24 x 7, it answers deep as well as general queries.It helps the patients by guiding what exactly he/she is looking for by asking them questons in series.

Keywords: chatbot,hospital management, artificial intelligence,healthcare.

Abstract: This paper presents the "Design of buck boost converter for wind energy conversion system". The main aim of our project is to giving constant output voltage by using buck boost converter. So the output voltage will be constant throughout generation of electricity. Eventually there have been much advancement in wind technology but the technological advancements are still needed for wind power control for different loading conditions. By using the buck booster convertor, we can keep the voltage constant which is helping for distribution the electricity during any environmental condition. The power is controlled with the help of Buck-Boost Converter connected across the dc link to keep constant voltage supply at output side

Abstract: Research conducted on environmental factors and the causes of changing climate has been increasing since the last few decades as a rapid decrease in the quality of air, oceans, and water has been noticed. Artificial Intelligence and Machine Learning being existing for so many years have made their way through many theoretical and practical applications in almost every field of research. But combining such technologies to tackle the factors leading to climate change has proven to be ground-breaking. Owing to this more and more researches are being conducted using this fusion and many real-time models are also used today to provide environmental data so that both the major environmental-based companies and a common human being can act upon their parts of contributing to the environment. The present review elaborates in detail the many applications of AI and ML being used by some of the major multi-national corporations as well as the researchers to present their ideas and experiments using these advanced tools to offer efficiency in practices used by people in our community. These practices span from agricultural irrigation methods to detecting the pollution in the air and its source. The review also details the truth behind the real-time application of AI being used by Microsoft, Google, and IBM, and other big companies to help in preventing climate change.

Keywords: Climate Change, Machine Learning, Artificial Intelligence, Microsoft Azure, DeepMinds, Green Horizons.

Abstract: As a result of urbanization, traffic in an urban area also at its extreme. Roundabout results in a nice solution for smooth movement when flows are balanced but it can have operational difficulties when there are increased flows. The use of micro-simulation tools for performance analysis emerges as an effective solution to understand and modelling vehicle and driver behaviours. It is needed to provide some measures to reduce queue length, travel time and delay at signalized complex roundabout. Different alternatives can be modelled and compared in PTV VISSIM. The main aim of the study is to provide an optimal solution with the help of simulation techniques to ultimately enhance roundabout performance. The present article shows the methodology adopted by different authors to simulate the traffic condition and the provision of the different alternative strategies for enhancing performance. Thereby conclusion was made based on different studies.

Keywords: Micro-simulation, Performance Analysis, PTV VISSIM, Roundabout

Abstract: In this current study, Collection of Seeds ,Extraction of Oil and Transesterification of Biodiesel ,Physical-Chemical properties and Emission properties, with mixed dual fuel of jatropha curcas , pongamia pinnata biodiesels mixture - diesel blend in equal proportions with conventional mineral diesel in the proportions of B5,B10,B15,B20 with ratios of (50:50),(60:40),(70:30) and the results were compared with diesel. FTIR test , Fatty Acid Profile, Physico chemical properties such as Density, Kinematic viscosity, Calorific value, flash and fire points and Emission properties such as CO , CO2 , HC , Nox smoke percentage ,Exhaust gas temperature, were determined by using the standard test methods and compared with conventional diesel fuel.

Keywords: Dual Bio-fuel, Physical Chemical Properties, Emission, Blending, Transesterification

Abstract: Fiber reinforced concrete (FRC) in various social engineering applications is simple. Fiber strengthened Concrete (FRC) is increasing are taken into consideration effective improvement techniques concrete performance. Cables are currently to be had laid out in cemeteries, bridge benches, roads, roads, billboards, small endless piles, concrete pipes, and urban stones. these programs for strengthened fiber concrete are to be had they may be turning into increasingly popular and excellent overall performance. Fiber-strengthened concrete (FRC) by way of concrete containing developing fiber the integrity of the shape. It consists of a few extraordinary threads they may be calmly distributed and randomly directed. Ropes they include metallic fibers, glass fibers, artificial fibers as well herbal fibers. This take a look at famous the considerate power of strengthened fiber concrete. Mechanical capabilities and strength of fiber strengthened concrete

Keywords: Fiber mixed Concrete, break up Tensile strength, compressive energy

Abstract: These Rough terrain vehicles are used on irregular and rugged terrains where complex vehicles cannot reach. These vehicles in the military are used for monitoring unknown territories, observing borders, and rescue missions. Since these vehicles are exposed to hostile conditions, the fabrication and design of the vehicle should be plain and simple as to make it easier for mending and restoring. The primary mechanical feature of the vehicle is the rocker-bogie mechanism. This mechanism assists the six-wheeled vehicles to passively keep the connection to the rocky uneven terrain. There are two primary advantages of using this feature. First, the pressure of wheels is equilibrated and second, while propelling through broken and uneven surfaces all the wheels remain in contact and help to push the vehicle forward.

Keywords: Cost-effective, Defence, Long-lasting battery, Maximum stability, Rocker Bogie Mechanism, Rough Terrain, Stair Climbing.

Abstract: The Market of Lubricants is largely dominated by Mineral Oils based feedstock which causes environmental degradation. This provides a necessity to search for alternatives of Biodegradable nature. Waste Cooking Oil with certain chemical modifications can be utilised for Lubricating purposes. In this regard, the primary contribution of this work lies in the summarisation of the manufacturing process of bio based Lubricants from Waste cooking oil. The steps include pre-treatment of used oil to remove certain undesirable compounds formed during frying, followed by chemical modification by subjecting to Transesterification, Oligomerization, or Epoxidation reactions to enhance the Thermo-Oxidative properties. This study shall help to identify the need of further research in the area for implementation of the strategy at commercial level.

Keywords: Waste cooking oil, Vegetable Oil, Bio-Lubricants, Eco-friendly, Chemical Modifications

Abstract: The objective of this paper was to examine the effect of individual characteristics, job characteristics, and working environment characteristics on employee performance at the Indonesian State Employment Agency. The research conducted used primary data from 358 respondents through questionnaires, direct observation of the object under study and a review of the literature. The method of analysis used quantitative data to test the level of significance of the effect of individual, job and working environment characteristics on employee performance at the Indonesian State Employment Agency. The overall results showed that individual, job and working environment characteristics, either partially or simultaneously positive and significantly impact the performance of Indonesian government employees.

Keywords: individual characteristics, job characteristics, working environment characteristics, employee performance.

Abstract: In this paper the Quine Mc-Cluskey method is used for minimization of Boolean functions. The Quine-Mc-Cluskey method is one of the popular method, and is particularly used when both karnaugh method and variable entrant map (VEM) approach fails, it is useful in minimizing logic expressions for larger number of variables when compared with minimization by Karnaugh Map or Boolean algebra. It was developed in 1956 by Edward J.MC Cluskey. Karnaugh map could solve only for smaller variables whereas Quine Mc-Cluskey can solve for higher variables. The concept that runs behind Quine Mc-Cluskey is the combaining method approach. It has easy algorithm than Karnaugh, so it is efficient and can be easily implemented in computer algorithms.

Keywords: Quine Mc-Cluskey, FPGA, Hardware implementation, Karnaugh map

Abstract: The vibration behaviour of unstiffened and stiffened skew plate subjected to uni-axial and bi-axial in-plane loadings is studied. As the applied in-plane loading is not uniform, the resultant plate in-plane stresses are evaluated from the plate membrane analysis. Using these stress distributions, partial differential equations governing the stability of skew plates are derived. The first order shear deformation (FSDT) theory is considered in the present formulation. Effects of skew angles, boundary conditions, number of stiffeners and uniaxial and biaxial types of loadings on the buckled vibration behaviour of the unstiffened and stiffened skew plate are investigated.

Keywords: Vibration, unstiffened and stiffened skew plate, Uniaxial loading, inplane loading

Abstract: Each and every person in this world has a desire to live a normal human life but accidents, diseases, elder-ship make their desire into disability. Moreover, there are lots of handicaps and elders as well as the number of paralyzed people are increasing day by day. They always need another person in moving the wheelchair .The proposed system helps them to move freely & safely and also takes the activities in a cost effective manner.The intention of this work is to propose and develop a Brain-computer interface solution for people with movement disabilities. A smart wheelchair is developed by using Brain recognition system control the movement of wheelchair and also with Arduino interfaced. The proposed solution will read ,monitor and translate brainwaves generated from the central nervous system of a person with movement disabilities to replace/rehabilitate his/her natural movements or for allowing them to control different software and hardware applications such as password authentication, virtual keypad communication, emergency commands and wheelchair. The brain waves used in this work are those produced when a person blinks. This prototype uses a controlled mechanism based on the raw Electroencephalography (EEG) data extracted from a mind wave mobile/brain sensor for manipulating real life applications.

Keywords: Electroencephalography (EEG), Brain computer interface (BCI), Paralyzed, and Brainwaves.

Abstract: Demand for the public transport sector in Indian cities is increasing continuously. The Government of India has offered a number of transport systems such as Mass Rapid Transit System (MRTS), Bus Rapid Transit System (BRTS), and Light Rail Transit System (LRTS) in every transport city to mark these demands. However, the connectivity of the first and last mile point is not designed properly, so public transport riders lag behind. The purpose of this study is to identify the mode preference behaviour of passengers for first and last-mile travel for Ahmedabad BRTS users and to propose feeder transit for first and last-mile connectivity. The travel option model for first- and last-mile travel is determined using a multinomial logit model and a home interview survey. It also examines disparities in selection behaviour between youth and other age groups. The results of this study may enhance bus line ridership and improve the physical environment for first-to-last-mile connectivity through intermediate para transit (IPT) such as walking, auto-rickshaws, and e-rickshaws (battery operated). Intermediate Para Transit (IPT) is a part of a holistic transportation service provider for services to align transportation routes and regulations, and perfect for improving an enterprise infrastructure for safe and personal riding for pedestrians.

Keywords: first-last mile connectivity, multinomial logit model, BRTS, Intermediate para transit, feeder.

Abstract: Weather plays a crucial role in everyone's life. Accurate weather information is necessary to plan our day-to-day activities. Appropriate weather forecasting is important as it is to protect ourselves as well as our property. The primary aim of this study is to review different Machine Learning and Deep Learning techniques used in weather forecasting. Machine Learning is the automated process in which models learn by themselves, identify patterns and make decision. This review indicates that Machine Learning and Deep Learning techniques can help us to forecast weather based on input features such as temperature, humidity, Rainfall, Air Pressure and so on.

Keywords: Machine Learning, Deep Learning, Weather Forecasting, ANN, MLP

Abstract: Foundations are one of the major factors affecting the behaviour of the transmission tower as it transmits loads to the soil. Recently with increase in size of transmission tower with extra high transmission voltages, loads acting on the foundation increases and thus, requiring heavier foundation. Hence, it is necessary to design the foundation considering safety and economy. Also, it is necessary to consider the soil type for which the foundations have to be designed. In this work, Models of self-supported suspension and tension towers are analysed for 66 kV, 220 kV and 400 kV transmission voltages in STAAD PRO v8i. Comparative study for 2-stepped and 3-stepped isolated foundations of towers has been carried out for five types of soil conditions. Analysis and design of all foundations has been done for all given conditions and estimated quantities of materials are compared. It has been observed that 2-stepped isolated foundation requires 1.1 to 1.27 times more steel than 3-stepped isolated foundation for all types of soil condition. It was also shown that the minimum cost is obtained for dense soil than any other soil type. Hence, it can be concluded that the economical design of foundation is obtained by using 3-Stepped foundation with dense sand.

Keywords: Transmission Line Tower, Suspension and Tension Tower, Isolated Foundation, Different soil conditions

Abstract: Chagas disease, also known as American trypanosomiasis, is a tropical parasitic disease caused by Trypanosoma cruzi. T. cruzi is usually spread to humans and other mammals by the bite of a conenose . The disease was first described in 1909 by Brazilian physician Carlos Chagas, after whom it is named Chagas disease is classified as a neglected tropical disease. In Argentina, the disease is known as mal de Chagas-Mazza in the honor of Salvador Mazza. Over decades with chronic Chagas disease, 30-40% of people develop organ dysfunction (determinate chronic Chagas disease), which most often affects the heart or digestive system. Symptoms vary widely based on the size and location of brain abscesses, but typically include fever, headaches, seizures, loss of sensation, or other neurological issues that indicate particular sites of nervous system damage. Occasionally, these individuals also experience acute heart inflammation, skin lesions, and disease of the stomach, intestine, or peritoneum. Elimination of T. cruzi doesn't cure the cardiac and gastrointestinal damage caused by chronic Chagas disease, so these conditions must be treated separately. To manage irregular heartbeats, people could also be prescribed anti-arrhythmic drugs like amiodarone, or have a pacemaker implanted. It was estimated that 6.2 million people, mostly in Mexico, Central America and South America, have Chagas disease as of 2017, resulting in an estimated 7,900 deaths. As of 2019, a vaccine has not been developed.

Keywords: Trypanosoma cruzi , neglected tropical disease , mal de Chagas-Mazza , organ dysfunction , peritoneum , gastrointestinal damage , amiodarone

Abstract: Voting is an integral part of any organization which helps organizations to take important decisions after taking a consensus from others and help implement any idea/decision in a procedural manner. This system is an online voting system based on blockchain technology. In view of the problems of malicious voting, data security, privacy leakage and so on in the current online voting system, the system can guarantee the fairness, openness, verifiability and non-tampering of voting data in the voting system by combining the decentrization of blockchain technology, the non-tampering of data and the anonymity of the voting system. Users can use the system to create voting projects, set voting time, register to vote and other operations, the system also provides the voting data traceability verifiable function, designed to build a more efficient and safe voting environment for users.

Keywords: Blockchain, Decentralized, Security, Voting

Abstract: This paper presents a secure IOT-based health monitoring system that shortens the distance between a patient and the relevant medical organization. Vital signals captured from sensors are processed and encrypted using AES (Advanced Encryption Standard) algorithm before sending to the cloud for storage. A Node MCU microcontroller is utilized to carry out the processing and encryption functions, and for providing connectivity to the cloud over WiFi. In addition, a medical specialist can visualize the private health data in real time only after providing decryption credentials. Moreover, the proposed system provides an alert by sending an email to some patient relatives or coordinating specialist if vital signs are outside the normal rates. The proposed system provides privacy, security, and real-time connectivity for private health data records.

Keywords: Secure Health Monitoring, Internet-of-Things (IoT), Node MCU microcontroller AES Encryption

Abstract: One of the most powerful Trojans used by the attacker is the Remote Access Trojan. Remote Access Trojan (RAT) is one of the most terrible security measures that organizations face today. It is an outstanding example of how attackers can misuse remote access technology. Given that Trojan, it is a non-computer program that seeks to simplify the back door to access a computer program management. In this malware, there are two common methods of delivery. This is used for malicious purposes. This Trojan confirms the secret method of data collection by making it inaccessible. Now, these Trojans have the ability to perform various tasks that harm the victim. Trojan Access Trojans can also be viewed as authentic applications when downloaded, RAT also loads them. Enables the attacker to be able to control the target device. Remote access is often used for remote access to corporate network servers, workstations, while providing ease of use, and has also created security issues in auditing. In this paper, a representative-based safety research program is provided and can monitor the performance and maintenance, security of the system, the performance and maintenance of employees using the system through a web page, increasing the flexibility of deployment and ease of use.

Keywords: Remote administration, Network Security, Client-Server, payload Builder

Abstract: In this paper, we made an analysis on the logic operations involved in conventional carry select adder (CSLA) and CSLA based on binary to excess-1 converter (CSLA-BEC) to study the data-dependency, and to find redundant logic operations. We have eliminated all the redundant logic operations of conventional CSLA, and proposed a logic formulation for CSLA. In the proposed scheme, the carry-select operation is scheduled before the calculation of final-sum, which is different from the conventional approach. A CSLA based on the proposed scheme generate n-bit carry-words corresponding to input-carry '0' and '1', where n is the input bit-width. These carry words follow a specific bit-pattern which can be used for logic optimization of carry-select unit. Fixed input bits of carry generator unit also can be used for logic optimization. Based on this, an optimized design for carry-select unit and carry generator unit are obtained. Using these optimized logic units, an efficient design is obtained for CSLA. Due to small carry-output delay, the proposed CSLA design is a good candidate for SQRT adder.

Keywords: Adder, BEC, Low power design, CSLA

Abstract: The standard way to maintaining a data warehouse environment with data marts is to have one Enterprise Data Warehouse that includes divisional and regional data warehouse instances, as well as a set of dependent data marts that obtain their data straight from the data warehouse. Developing standalone data marts, which are not fully reconciled with the data warehouse environment and, in most cases, involve a supplemental source of data, requires a thorough understanding of the process and identification of all associated hazards. Data marts are smaller than enterprise data warehouses and are usually managed and made available in the same environment as the data warehouse (systems like Oracle, Teradata, MS SQL Server, SAS). Many data marts are also built and refreshed on a server before being sent to end users via shared drives or email and stored locally. This method has high maintenance costs, but it allows data marts to be accessible even when they are not connected to the internet. In this Research Paper, author enlightens progressive analytical assessment of Data Mart exploration in rapidly growing Data Warehousing consequence. Paper is organized as follows. Section II describes background research portfolio related to research topic Section III Focuses on Analytical status of Data Mart Technological Evolution. Section IV describes Fact-finding collaborations of Schemas with Data Mart. Section V presents Progressive Analytical Approach in Structured procedure of Data MART. In Section VI, Author describe Analytical Comparison between Data Warehouse and Data Mining Finally, Section VII presents conclusion and Future Aspect.

Keywords: Hybrid Data Mart, Cloud Storage, OLAP Tools, MDDB, CRM.

Abstract: As the demand for biofuels increases globally, micro-algae offer a viable biomass in rural communities these materials could be converted to biodiesel. A one-step process was applied to directly converting wet oil-bearing micro-algae biomass of Chlorella pyrenoidosa containing about 90% of water into biodiesel. In order to investigate the effects of water content on biodiesel production, distilled water was added to dried micro-algae biomass to form wet biomass used to produce biodiesel. The results showed that at lower temperature of 90∘C, water had a negative effect on biodiesel production. The biodiesel yield decreased from 91.4% to 10.3% as water content increased from 0% to 90%. Higher temperature could compensate the negative effect. When temperature reached 150∘C, there was no negative effect, and biodiesel yield was over 100%. Based on the above research, wet micro-algae biomass was directly applied to biodiesel production, and the optimal conditions were investigated. Under the optimal conditions of 100 mg dry weight equivalent wet micro-algae biomass, 4 ml methanol, 8 ml n-hexane, 0.5 M H SO , 120∘C, and 180 min reaction time, the biodiesel yield reached. As high as 92.5% and the FAME content was 93.2%. The results suggested that biodiesel could be effectively produced directly from wet micro-algae biomass and this effort may offer the benefits of energy requirements for biodiesel production.

Keywords: Micro-algae biomass, Chlorella pyrenoidosa, Biodiesel yield.

Abstract: Global energy demand is set to increase by almost 50% in the period 2016 to 2040. Much of this growth will continue to be concentrated in the developing world, primarily China and India, as industrialization, population growth and the unprecedented expansion of the middle class will propel the need for energy in general and coal, in particular. The Indian coal is of low grade having high ash content of the order of 30-45% producing large quantity of fly ash at coal/lignite based thermal power stations in the country. The management of fly ash has been troublesome in view of its disposal because of its potential of causing pollution of air and water. To minimize such effects Ministry of Environment, Forest and Climate Change (GoI) has given approval to use fly ash for backfilling of opencast mines, stowing of abandoned mines and filling of low laying areas. All the heavy metals found in fly ash-nickel, cadmium, arsenic, chromium, lead, etc-are toxic in nature. They leach into the surrounding soil and can enter food-chains, ground water. Proposed study incorporates ash leachate analysis using laboratory method. This study aims to identify trend of toxic metals in leachate solution of different mix proportion of mine overburden and fly ash.

Keywords: Fly ash, leachate, mine overburden.

Abstract: In this paper we have conducted a survey of most authentic techniques of license plate detection of a vehicle and an automatic gate control system that will increase convenience and security at entrance of all the important places that require protection and Security. Here the gate will work automatically without the need of human beings and also the system will be able to recognize license plates from vehicles at the entrance gate and decide whether to let vehicles inside or not. The system consists of Raspberry pi along with a video camera that captures video frames which include an image of the vehicle license plate and processes them. The proposed system has been implemented using python and Optical character recognition (OCR).

Keywords: License plate detection, automatic gate control, Optical character recognition (OCR).

Abstract: This project mainly contains python, machine learning and web related concepts. The main aim of this project is to predict Chronic obstructive pulmonary disease, Diabetes and Heart disease using machine learning techniques and algorithms. In this project the Doctors/Patients/User can register in the webpage which we developed and again then can login. All their information will store it in the database. Once they login into the webpage they can choose which disease to predict like they will get options COPD, Diabetes and Heart. The selected disease prediction page will open and they can enter the patient details, mail id and the parameters asked in the webpage required to predict that particular disease. Once entering all the details, if they click on predict means they will get final results in the webpage like they have that particular disease or not, stage of the disease and treatment should be taken for that disease will be displayed on the final results. The same predicted results also send to the patient email whatever entered by the user/doctor/patient while entering their details. You can also see the data stored in the database in this project.

Keywords: Department, Presidency Tree, k-nn algorithm.

Abstract: Roll forming which is also spelled as roll-forming or roll forming, is a type of rolling that involves the continuous bending of a long strip of sheet of metal (usually coiled steel) into a desired cross-section. The strip is passed through the sets of rolls that are mounted on consecutive stands, each set performing only an incremental part of the bend until the desired cross-section (profile) is obtained. Roll forming process is ideal for producing constant profile parts with long lengths and in large amount. This paper tried to summarize the study of roll forming for different design parameters and its result.

Keywords: Roll Forming, Longitudinal-Residual Strain, Line Velocity, Bow Defect.

Abstract: By enabling improved sensory and motor functions in animal models, stem cells (SCs) offer new hope as a brand-new therapeutic approach for spinal cord injury (SCI). Neural stem cells, mesenchymal stem cells, embryonic stem cells, iatrogenic pluripotent stem cells, and others are among the stem cells used for neuro restoration. A better understanding of the benefits, drawbacks and precise performance of different stem cells in the treatment of SCI could aid in the development of neurorestorative approaches. The most important goal of SC-based medical care for SCI is to replace neurons and interstitial tissue cells that die quickly after injury. Stem cells help to promote remyelination by replacing neuroglia cells with organic process factors that promote neurite outgrowth, nerve fiber elongation, and fiber density, as well as activating resident or transplanted ascendants cells across the lesion cavity. While many SC transplantation methods have shown promising but limited efficacy, the mechanistic proof is frequently lacking, which is arguably the most significant impediment to faster progress and clinical application. The most difficult task ahead is to encourage clinicians, researchers, and patients to work together to define and optimize the mechanisms of SC performance, as well as to identify the best source(s) of SCs that can produce cost-effective and safe therapeutic approaches.

Keywords: Stem cells (SCs); Spinal cord injury (SCI); neural stem cells; mesenchymal stem cells; embryonic stem cells; induced pluripotent stem cells; Differentiation; Remyelination; Inflammation.

+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 Real-Time Phishing Detection - A Literature Survey Uthkarsh Sanjay, Akshay G R, Pushkar Anand, Adith A Danthi, Ravi P Abstract-Phishing is a serious cybercrime that is affecting thousands of people on the internet. Nowadays Cyber Attacks are reaching to end users , taking advantage of the weakest security element. People have come out with many solutions to lower the negative effects. Thus in our paper, we are reviewing many proposed techniques of phishing, which includes detection , correction , prevention which is integral to detect phishing. In this literature survey, we are comparing various methodologies used to detect the phishing attack.
Key Words : Phishing, TF-IDF, Random Forest, KNN, Fuzzy Model. Downloads: | DOI: 10.17148/IARJSET.2021.8551 How to Cite: [1] Uthkarsh Sanjay, Akshay G R, Pushkar Anand, Adith A Danthi, Ravi P, "Real-Time Phishing Detection - A Literature Survey," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.8551 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: A bridge is very important structure nowadays. The bridges have become much more efficient with technological advancements. There are various types of bridges available. The box girders are suitable for a variety of bridges. Box girders are efficient and also economical superstructures. The study presented here shows parametric analysis of an Inverted Triangle Box Girder Bridge. The parametric study is carried out to get the basic idea of section performance under the section depth variation. The longitudinal and lateral (cross-sectional) analyses have been carried out. The longitudinal designing is done using the Simple Beam theory and design ideology is Limit State Design. The section is analyzed and designed for Shear force, Bending moment and Torsional moment. The software used for the analysis in this study are CSi Bridge and Bentley STAAD Pro, while the designing is carried out using Microsoft Excel. The reference codes used are Indian Standards. The section shows satisfactory performance for most of the cases.

Keywords: Inverted Triangle, Triangular Box Girder, Inverted Triangle Box Girder, Bridge, Parametric Analysis, CSi Bridge, STAAD Pro

Abstract: Surface water quality assessment is a basic and critical tool for informing sustainabl management of water resources. The aim of this study is to evaluate the dam and reservoir water quality of the Bhavnagar region.. The results will assist water management in the study area for varied future demands including, irrigation, industries, and river conservation. Ecologically important parameters such as dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, physico-chemical parameters (PH, Conductivity, Turbidity, sodium, potassium, lithium, calcium, hardness, solids, chloride, fluoride, sulphate, nitrate, phosphate, metals, Alkalinity) were analyzed. The results were compared with standard permissible limits of BIS and WHO. The differences in various parameters were statistically significant when comparing the pre-monsoon and post-monsoon of dam and reservoir. To identify a good technique for water quality assessment, all of the water quality parameters have been calculated by correlating various parameters and comparing them over two critical seasons with BIS. The Thematic map Map of The Water-quality parameters indicate that Dam/Reservoir Water is safe for Drinking and irrigation Purpose.

Keywords: Dam and reservoir, physico-chemical parameters, correlation parameters, water quality, Bhavnagar region, Thematic Map.

Abstract: Today we are facing heavy traffic problems such as congestion, accidents, delays to work, environmental hazards, fuel wastage etc. due to increase in population and inadequate infrastructure to cater it. This paper introduces a new yet effective solution of movable dividers to reduce traffic congestion. It also lays emphasis on conveying the design of a suitable system before the actual execution. Use of software to explain the system helps in effectively conveying the concept.

Keywords: movable, dividers, traffic, congestion

Abstract: Most of the constructed structures such as roadways, railways, water reservoirs etc. requires huge amount of soil. In most areas borrow earth is not easily available and has to be transported from a long distance. One way to overcome these problems in soils is to stabilize with admixtures; this is because such a stabilization procedure improves engineering properties of the soil such as volume stability, strength and durability. The main objective is to improve the characteristics of the available soil and make the soil capable of carrying load and to increase strength of the soil. In this study, the clay soil is modified or stabilized with powdered glass. Waste broken glass is a non- biodegradable material, which creates environmental related problem therefore its use in sub grade soil modification, will minimize the problem. In the present research, used waste glass powder i.e. stabilizer is obtained from various glass cutting and fitting shops, Gwalior, Madhya Pradesh and soil samples which are modified obtained from in between the area of Gole ka Mandir and Bada Gaon, Gwalior, Madhya Pradesh. Selecting optimum percentage i.e. 15% of cement as base by weight of soil sample mixed with various proportions of waste glass powder i.e. 1%, 2%, 5%, 10% and 15%., also by weight of soil sample and the modified soil is then studied. Various cement properties, glass properties along with Soil properties viz atterberg's limits, plasticity index, maximum dry density (MDD), optimum moisture content (OMC), California bearing ratio (CBR), Direct Shear test on a number of soil samples mixed with mixture of cement and glass powder (15 % cement & 1%-15% of glass powder) were studied and results with the non-stabilised soil was compared. Results of various tests demonstrated that the inclusion of cement and glass powder in soil with appropriate proportion improved strength and properties of soils.

Keywords: Atterberg limits, PL, LL, MDD, OMC, CBR, Direct Shear.

Abstract: In today's 21st century, cyber security is a bomb shell which is getting more attention as the increasing cyber-attacks and hacking processes has come up with very easy and unpredictable results. The aim is to provide significant view on what cyber security and artificial intelligence together is capable of. Cyber security and Artificial intelligence are inter-linked concepts. Artificial intelligence has been changing and evolving the whole world with newer surprises and excitement. It is yet an unrevealed paradise. AI provides smart and advanced capabilities in tackling challenging cyber security problems in the real world.

Keywords: Artificial intelligence, machine learning, super intelligence, cyber security implementations.

Abstract: "Smart chair for body posture monitoring" is proposed for assessing the body posture of a person sitting on a chair. The proposed work is about monitoring the body posture of a person sitting on the chair. While sensors are incorporated for identifying the body posture, voice messages and text messages are generated to alert when wrong body postures are sensed. The aim of this review is to provide a summary of one of the observational postural analysis ergonomic assessment tools; Rapid Entire Body Assessment (REBA) in terms of its development, applications, validity and limitations. Research showed REBA's convenience for postural assessment of jobs in numerous professional settings, including industrial and health care jobs, construction, sawmill tasks, supermarket industry, food industry, computer based jobs, packaging, school workshop, deontological services and for firefighters and emergency medical technicians. Face validity is established in two stages. In terms of concurrent validity, several studies used REBA to compare the results with other observational and direct methods so that the level of conformity between the two is determined. The limitations discussed in this review did not hold the method's implementation back, on the contrary, it is currently used and remains a rapid to use tool with computerized checklist and tables available in public domain.

Keywords: Body posture, posture detection, posture correction, Assessment device.

Abstract: " Prosthesis is an artificial approach, which is used to replace a disabled body part. Prostheses are typically used to replace and provide supplement to disabled/defective body parts. Disabled body parts can be of any reason like lost accidently, birth physical disability etc. The main requirement is that its function should be as natural as real arm. There are various designs of artificial arm that are available in the market, categorized as electrical, mechanical and Myo-electric arm. Mechanical prostheses use some motion of the body to provide the power necessary to control the prosthetic component. Electrical arms activate the hand by a motor which is driven by micro switches and relays. This paper effectively focuses on the ease of use, cost effective and simple to handle prosthetic arm for economically challenged.

Keywords: Prosthetic hand, Disabled, Arduino, low cost,3D printing.

Abstract: "In this era of smart classroom technology, students are more demanding innovative university campus life, and willing to use innovative learning methods. IoT and Cloud computing technologies can provide solutions for smart and a sustainable campus to improve learning methods of the students and improve the efficiency of everyday activities in the Institution. This project focus on the IoT paradigm in the teaching process with the integration of Cloud for education system. IOT in education provide student to learn new technologies that helps the students to create new ideas and logical for the social problems. IoT based cloud computing technology provide intelligence system, unified campus portal services, security and maintenance system. The digitally connected campuses enhances student learning and environmental sustainability. Students can use smart phones, PDA to access their homework assignments and test performance through online portals. Video can be uploaded in the cloud, online video Lecturing enables Students to attend classroom lectures remotely. IoT devices are used to track students who Skip their classes, send alerts help students to concentrate academic work regularly, and to find lost personal items. Through Digital devices payments can be made easy at cafeteria, office and in other admin activities. The hardware component of IoT consists of microcontroller board, sensor module, wireless and wired connections. Using the software module the information to and from sensor modules is processed and transmitted to cloud storage. This paper describes how efficiently IOT and Cloud Infrastructure restructure the traditional education and learning methods

Abstract: In this paper, for the first time we define and solve the problem of effective yet secure ranked keyword search over encrypted cloud data. Ranked search greatly enhances system usability by returning the matching files in a ranked order regarding to certain relevance criteria (e.g., keyword frequency), thus making one step closer towards practical deployment of privacy-preserving data hosting services in Cloud Computing. We first give a straight forward yet ideal construction of ranked keyword search under the state-of-the-art searchable symmetric encryption (SSE) security definition, and demonstrate its inefficiency. To achieve more practical performance, we then propose a definition for ranked searchable symmetric encryption, and give an efficient design by properly utilizing the existing cryptographic primitive, order-preserving symmetric encryption (OPSE). Thorough analysis shows that our proposed solution enjoys "as-strong-as possible" security guarantee compared to previous SSE schemes, while correctly realizing the goal of ranked keyword search. Extensive experimental results demonstrate the efficiency of the proposed solution.

Keywords: Ranked Search, Encrypted Cloud, Privacy-Preserving Data, Order-Preserving Symmetric Encryption, Cryptographic Primitive Accesses.

+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 A Comprehensive Study of Face Recognition for Security-Based Systems Chethana Prasad K, Disha S, Divya TM, Sunil Kumar GR Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible. Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data. • To create a secure system to authenticate users who are not completely blind. • To create a secure password authentication system which uses Morse code. • To make sure that the captured face should be detected and recognized by the system and should be validated. To provide a platform for the people who have to enter a secured place by which they can create a secure private account to which only they can access. Our solution would allow persons to interact with devices and in this authentication is bit more increased by instead of giving some authentication code by keyboard. This project gives catch phrase and less using of hardware sensors which is using in nowadays. Downloads: | DOI: 10.17148/IARJSET.2021.8562 How to Cite: [1] Chethana Prasad K, Disha S, Divya TM, Sunil Kumar GR, "A Comprehensive Study of Face Recognition for Security-Based Systems," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.8562 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: Ultraviolet (UV) sterilization technology is used to aid in reduction of microorganisms that may remain on the surfaces after a standard cleaning to the minimum number. A comprehensive disinfection is necessary to minimize the risk of transmission and infection of hazard diseases. Currently there is no effective fast cleaning and disinfecting technology available. Ultraviolet sterilization bot is used for disinfecting air to kill Pathogens without human intervention. Cleaning and disinfecting floor using alcohol sprayer is very effective. Pathogens can be detected using air quality sensor. The proposed robot uses this mechanism to disinfect affected regions. Automated path planning for robot is used to move from one place to other using fixed geometry. This system develops a UV robot or UV bot for sterilization in an operating or a patient room and other places like airport, hotels etc. The cleaning is done without human intervention. UV bot has three 19.3 watt of UV lamps mounted on top of the UV bot platform covering 360° direction. UV bot employed an embedded system based on a armlpc2148 to aid in navigation to avoid obstacles.

Keywords: Ultraviolet (UV), Automated, UV robot, Disinfection, Cleaning robot, Alcoholic sprayer.

Abstract: Back pain is one of the most common and widespread problems in today's obsessive-compulsive lifestyle. Reasons for having back pain problems can be muscle spasms, heavy lifting, cracked discs, sciatica, abnormal spinal curvature, poor sleep habits etc. sleeping or sitting incorrectly is the common cause of pain in the lower muscle. The ultimate solution for this is to change routine habits. For more help use our "Smart Waist Belt+ Mobile Application" which is a clever IoT and Android tool by which the user will not get into wrong position. Adding a module that measures pulse rate and oxygen level makes it more useable in daily life. App clearly warns the user whenever they enter the wrong position or the pulse rate or oxygen level increases or decreases. The android mobile app shows the dimensions, temperature, heart rate and oxygen level which doctors and users both can track and perform according to their needs.

Keywords: Internet of Things, Wearable Device, Activity Recognition, Health Behaviour Change, Smart Health Care, Digital Health Care, Posture Alert, Accelerometer, Heartbeat, Oxygen level.

Abstract: The transparency and accountability of Information Technology (IT) organization can be increased by utilizing the features of IT Service Management (ITSM) tool. ITSM tool makes it possible for enterprise to digitize the workflow and ensure quality service to achieve the best possible business results. The issues present in the company that affect the day-to-day work life of employees has to be kept track of and assigned to the one in-charge. This can be achieved using ITSM tool which automates the process of assigning tasks and avoid the human intervention which increases the utility of available human resources. The papers reviewed here provide steps to implement ITSM in an enterprise in any sector, fine tuning the existing model and evaluate the management system. Further it also assesses the effect of implementing ITSM in various sectors like healthcare, education institutions and others. All these points are to be considered while configuring ITSM for an enterprise.

Keywords: Information Technology Service Management (ITSM), Information Technology (IT), Information Technology Infrastructure Library (ITIL), Evaluation Framework.

Abstract: Demand for High Rise structures has become so exponentially high that effective and advanced form of structural systems needs to be studied in detail so as to choose the best suitable structure in a given scenario. Structural system for a tall building should be configured so as to maximize its structural efficiency. The present study aims to evaluate the optimal configurations of structural systems- Diagrid and Outrigger for tall buildings. A 42 m x 42 m size regular floor plan is considered for analysis. Analysis of diagrid and outrigger structural system for tall steel building of 60 storey subjected to lateral loading is carried out in E-tabs software by considering the possible variation in both the systems (i.e. Angles for diagrid system and topology for outrigger system). Response spectrum analysis for earthquake loading and gust factor method for dynamic along wind response is considered for analysis of structure. Comparison of analysis results is presented in terms of top storey displacement, inter-storey drift, structural steel quantity and first mode time period. Based on the analytical results, the optimum configuration of diagrid and outrigger structural system is identified. It was found that the diagrid system having variable density and conventional outrigger with belt-truss having X topology gives optimal configuration for respective systems. It is also concluded that the performance of the diagrid structural system surpasses the Outrigger structural system.

Keywords: Diagrid, Conventional Outrigger, Virtual Outrigger, belt-truss, Topology, Structural System, Cost efficiency.

Abstract: Non-pneumatic tyres (NPTs) have wide application prospects due to their advantages of no run-flat, no need for air pressure maintenance and no risk of tyre explosion. This project compares the behavior of the following spoke designs : hexagonal, radial, angled and triangular. After selection of the optimal design DOE analysis is done on the spoke design to find an optimal spoke shape which has stiffness similar to that of a pneumatic tyre. The paper discusses the effect of uniaxial loading in static conditions and vibrational analysis of various geometric shapes of spokes in NPT. The spoke structures are designed using Solidworks CAD software and analysis is done using ANSYS. The DOE analysis is done using Minitab software. The expected outcome of the project is the identification of optimal spoke structure for NPT to be used in LMVs at high speeds.

Keywords: NPT, spoke structure, CAD, Finite Element Analysis, DOE.

Abstract: "In this growing population, the demand of motor vehicles is increasing rapidly. Hence, the number of deaths and injuries are also in tip. As travelling and driving are an integral part of life the accidents can be avoided by a few safety implementations. This study mainly focuses on developing a safety measures related to two-wheeler motor vehicles. Mainly the model consists of two modules the helmet and the engine module. The helmet module has inbuilt alcohol sensor, relay switch. These sensors communicate wirelessly with the two-wheeler's module through radio frequency transmitter. GPS and GSM system are kept closer to the engine. The engine module receives the information from helmet module through radio frequency receiver. The spark plug is shorted to ground with the help of relay, which is connected to the controller. The relay senses and releases the spark plug from ground unless the signal comes from the controller. The helmet is designed in such a way that it doesn't allow the engine to start unless the rider wears a helmet and also checks whether the rider is drunk or not. Theft has also increased in the developing countries in the recent years. Being light and easy to hide, a stolen two-wheeler is often difficult to search. It has therefore, become a pressing need to develop a low cost, easy to use solution to track them using GPS. As people are careless about their vehicle maintenance, they ought to be reminded about the servicing dates for the good health of vehicle also deals with the monitoring of vehicle's tire pressure on the daily basis. Here, we are using finger-print sensor for the owner to turn on the engine of the vehicle and for other person the physical keypad box is used where the input OTP has to be provided. If at all accident occurs, impact sensor senses the impact force and if found above the limitation then it sends SMS using GSM module to the nearby hospital and the close ones of the respected rider. And it also sends the location, where the accident took place using GPS."

Keywords: alcohol sensor, relay switch, fingerprint sensor, 4*4 keypad, GPS, GSM

Abstract: The aim of this present research work is formulation and evaluation of herbal cream of the flowers of Calendula officinalis with antibacterial activity. Antibacterial activity is the process of killing or inhibit the disease causing by microbes. The study is to prepare the herbal cream for the use of anthelmintic activity, anti-inflammatory activity, wound healing activity, analgesic activity, antibacterial activity and recovery various disease of the skin. Method of prepare herbal cream is very simple. At first oil phase prepared stearic acid, cetyl alcohol, potassium hydroxide ware melted at 70℃. After that aqueous phase is papered, lanolin, drug (ethanolic extract of Calendula officinalis), ethanol, glycerin, distilled water, methyl paraben, perfume heated at 70℃.Than aqueous phase is added in to the oil phase with continuous stirring. After that the mixture is put in room temperature with continuous stirring and added perfume and preservatives and transfer the cream in a suitable container. The evaluation parameter is determined such as pH, thermal stability, homogeneity, irritancy test, patch test, spreadability studies, accelerated stability testing etc. The further studies formulation, evaluation & antibacterial activity will be carried out bellow.

Keywords: Calendula officinalis, herbal cream, antibacterial activity.

Abstract: This paper presents a secure IOT-plant disease detection system which identifies the plant disease and provides remedies that can be used as a defense mechanism against the disease. The database obtained from the Internet is properly segregated and the different plant species are identified and are renamed to form a proper database then obtain test-database which consists of various plant diseases that are used for checking the accuracy and confidence level of the project. Then using training data, we will train our classifier and then output will be predicted with optimum accuracy. We use Convolution Neural Network (CNN) which comprises of different layers which are used for prediction.

Keywords: Convolution Neural Network (CNN).

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: Platform Management Communications Infrastructure (PMCI) Working Group develops standards for "inside the box" communication between platform management subsystem components. The Network Controller Sideband Interface (NCSI), Management Component Transport Protocol (MCTP), Platform Level Data Model (PLDM), and Security Protocol and Data Model (SPDM)are the standards that are developed by the PMCI group. These standards enable monitoring and control of systems regardless of the status of the operating system, whether it is running or not. This Paper Discusses how these four specifications effect on platform management subsystem.

Keywords: PMCI, NC-SI, MCTP, PLDM, SPDM, platform management subsystem.

Abstract: Sediment is a naturally occurring material that is broken down by processes of weathering and erosion and is subsequently transported by the action of wind, water or ice or by the force of gravity acting on the particles. Stronger flows will increase the lift and drag on the particle, causing it to rise, while larger or denser particles will be more likely to fall through the flow. The rate of sediment transport is associated to several variables such as water discharge, average flow rate, stream power, energy slope, shear stress, water depth, particle size, water temperature, and strength of turbulence. Throughout the low transport stages, particles move by sliding and rolling over the surface of the bed. With the increase of the velocity, the sediment is entrained into suspension and travels significant distances before being deposed again. This report discusses about the effect of silt on Brahmaputra River in lower Assam by taking the sample using depth integrating sampler technique from different location on river Brahmaputra and its tributaries at different depth during the period of autumn and rainy season. Sediments were separated from the collected samples by the process of filtration in the laboratory. Aim of this study is to analyse the variation of sediment load at shallow depth & contribution of some of tributaries to the river Brahmaputra.

Keywords: Sediment movement, silt, discharge, sliding and rolling, Brahmaputra River

Abstract: Investing in the stock market is one of the most complicated and sophisticated ways to conduct business. The stock market is very uncertain since stock values fluctuate due to a variety of factors, making stock prediction a difficult and exceedingly hard task. Investors nowadays require rapid and reliable information to make efficient judgments, with rapidly expanding technology breakthroughs in stock price prediction. This has attracted their interest in the research area. Understanding the pattern of stock price of a particular company and predicting their future development and financial growth will be highly beneficial. This paper focuses on the usage of a type of RNN(recurrent neural network) based Machine learning which is known as Long Short-Term Memory (LSTM) to predict stock values.

Keywords: Long Short-Term Memory, Recurrent Neural Network, Machine learning, Stock price prediction, Stock market

Abstract: In the vast area of digital image processing and high resolute transmission approach, this paper reviews the image enhancement techniques which are based OpenCV. OpenCV is the latest emerging approach in the area of image processing. There are different stages of image processing. The coding of all approaches is done by Python 2.7. [1] This paper gave you a basic understanding of image processing by looking at basic terms, then for each part, you'll saw the corresponding implementation of OpenCV, which is a library used for image processing.[4] This paper includes five most significant use cases, where the OpenCV library plays a key role. Also reviews different approaches such as Gamma transform, types of contrast enhancements, geometric transformation of image Keywords OpenCV, image enhancements, gamma transform, contrast etc.

Abstract: The most commonly used building material is Brick in the country. And, for many decades it has got the prime importance with some adverse effect on environment. The Carbon Dioxide which gets emitted from the manufacturing process of bricks affects the green environment. Hence, the present study focuses on the construction material known as Autoclaved Aerated Concrete which is eco-friendly i.e. harmless to the environment and which has many more advantages over conventional brick. And due to this, the manufacturing process of the Autoclaved Aerated Concrete Blocks is studied and it can be said that Autoclaved Aerated Concrete blocks can be used as a substitute to conventional brick which has many benefits over it like Thermal insulation, Sound Insulation, Adequate Strength and Stability, Durability, Fire Resistance etc.

Keywords: Autoclaved Aerated Concrete, Thermal Insulation, Sound Insulation, Durability.

Abstract: In Marine water, Assessing the spatiotemporal variations of water quality and Physico-chemical qualities of water is very important for water quality environmental management and it is critical for the health of biodiversity. Due to climatic change and over-exploitation, marine ecosystems are exposed to a range of environmental and anthropogenic stressors. Because of the rapidly changing world, the current knowledge on water availability across a range of spatial and temporal scales is still limited. The anthropogenic factors trigger the natural hydro-climatic variability and global changes so the water availability is changing both spatially and temporally. For water resources protection and its sustainable utilization, Spatiotemporal variation analysis of water quality and identification of water pollution sources in marine water is very important. The water quality monitoring studies on spatiotemporal variations focused on the physicochemical parameters as well as some biological factors including Dissolved Oxygen. Biological Oxygen Demand, Chemical Oxygen Demand, PH, Conductivity, Salinity, Temperature, Nitrogen, Turbidity, Dissolved Solids, Total Solids, Nitrates, Chlorides and Phosphates for scoring water quality status. This review article highlights the comparative study of the spatiotemporal variations in water quality.

Keywords: Spatiotemporal Variations, Water Quality, Physicochemical Parameters.

Abstract: Scytonema schmidtii was isolated from the collected soil samples from different locations of Ahmednagar district of Maharashtra state(India). Identification was carried out using morphological variation and taxonomical approaches according to Desikachary. The axenic culture of Scytonema schmidtii was obtained in the laboratory. For the biomass production, different culture media were used namely BG-11, Fogg's medium, Allen and Arnon medium, Zarrouk's medium and CFTRI medium. The biomass was harvested by filtration through double layered muslin cloth and dried using air blower. After harvesting, the biomass obtained was subjected to the growth analysis. Phycobilins were estimated by following the method described by Bennett and Bogorad . Out of the different culture media used, BG-11 medium supported the growth of Scytonema schmidtii properly as compared to other media used. Phycobilins content was found to be more in Scytonema schmidtii grown in BG-11 medium followed by the Allen and Arnon medium.

Keywords: Scytonema schmidtii, Phycobilins, BG-11, Fogg's medium, Allen and Arnon medium, Zarrouk's medium and CFTRI medium.

Abstract: The idea of virtual policing and also the specificity of however it's completely different has not even been remotely explored thus far. there's a kind of a probe for a path to traverse however police may establish AN entry into the assorted virtual communities. once we go searching the international scene, we discover an equivalent issue, there area unit innovative practices and hesitant makes an attempt that area unit sometimes contradicting themselves. this text could be a reasonably a situational exposure, an summary of what the police profession is thinking, what initiatives area unit being taken advantage of by the assorted authorities worldwide.

Keywords: Virtual station, 1st info Report(FIR), Adharcard, AWS, Realtime

Abstract: The Automation software plays several tasks in day-to-day life. Lightning speed of this technology growth in various domain reduces time and gives trusted benefits. For instance, consider a typical student's placement has to face many challenges to be hired. The placement of the students based on their own academics and technical skills that is required by recruiter. Considering that, the educational institutes devise students to achieve their placement goals. For instance, the institute has to arrange placement training session to students for regular practice. The regular practice lets student to mind tedious it has to be transpose by making a competition among the students. This can be achieved by making up the practice and problem solving tasks by online test and giving the credit scores based upon their performance on tasks. By considering their credit scores the daily, weekly, academic leaderboard can be prepared among the students which make interest on learning. This tasks may be bypassed by students during test so we make this in a secure way by Automated Proctoring. Considering all this commodity student report can be easily generated by system based on recruiter requirements that reduces the time of recruitment and also student can come up with the magnificent skillset for Placement.

Keywords: Automated Proctoring, Online Assessments, Automated Placement Prediction Algorithm, Event Managements, Students Leaderboard.

Abstract: Lung cancer is one of the most frequently diagnosed cancers and is the leading cause of cancer-related deaths worldwide. The World Health Organization, on 9th December 2020, revealed lung cancer as one of the leading causes of death and disability between the years 2000 and 2019 all over the world. Among all the lung cancers, non-small cell lung cancer contributes for about 85% approximately. Only 15% of the lung cancer patients have the possibility of survival for about five years of maximum, after getting diagnosed. Initial diagnosis involves biopsy inspection followed by staging using computed tomography and positron emission tomography to detect the accurate therapy to be applied. Smoking has been proven to be the major cause for this disease however, non-smokers are also increasingly getting diagnosed in the recent years. Some common symptoms include cough, chest pain, fatigue, shortness of breath, weight loss, coughing up blood or mucous and loss of appetite. Surgical resection remains the most preferred option with comparatively high success rates. However, combination of therapies such as chemotherapy, radiation therapy etcetera could give good results. Identification of potential biomarkers could lead to an advantageous targeted therapy. This review discusses on the types, causes, risk factors, biomarkers, treatment methods and drug targets that have been reported earlier.

Keywords: Non-small cell lung cancer, adenocarcinoma, squamous cell carcinoma, biomarkers, targeted therapy.

Abstract: A Sandwich structure is a type of composite consists of two or more separated components with different material properties, which together constitute a high performance material. The sandwich structure has a discrete structure in which the base material is glued and covered with a surface material. The material has high compressive and shear strength. When bounded to each other, this combination provides a high flexural modulus of the sandwich structure. Here a Luffa fiber and epoxy resin natural composite using compression moulding is fabricated to find the mechanical properties of a composite laminate. As per ASTM standard UTM tests and point bending test conducted to assess the tensile and bending strength. A sandwich structure is fabricated using luffa fiber natural composite as a face materials and polyurethane foam as a core. The sandwich structures are tested for its bending and shear strengths as per the ASTM standards. The experimental results are validated using the Numerical analysis done by ANSYS. The results are more favorable for the aircraft applications.

Abstract: For several years, ball pitching systems have been used in sport preparation. The aim of this project is to create the cheapest ball pitching device ever, capable of automatically throwing balls at various appropriate adjustable speeds for cricket practice. Typically, balls are tossed from a platform that uses motors, but the user may also control the discs and swing. The batsmen will benefit from the bowling machine's assistance in mastering their abilities. Different bowling patterns can be created by the machine. The unit is made up of two motors, one of which rotates clockwise and the other anticlockwise. The distance between the wheels should be moderately less than the diameter of the tossed ball. Between the two motors, a valve is mounted. The balls are inserted into the valve when the motor reaches the desired rpm. By frictionally grasping the ball between two spinning wheels, this machine transfers kinetic energy to the ball. The motor's rotational speed can be changed independently using an electronic regulator. The whole unit is placed on a height adjustable stand. Thus can be used for varying the length according to the requirements. The stand is placed perpendicular to the upper chassis. The report outlines all of the specification requirements for creating a professional cricket pitching machine, including technical and electronic aspects.

Keywords: Bowling Machine, Ball feeding machine, multiple release point, Autofeeder.

Abstract: This project applies two AI (Artificial Intelligence) techniques, i.e., fuzzy logic and expert system, to enhance the Kalman's filterbased GPS Navigation System. The Dijktra's Algorithm to find the smart route to reach the destination. The Kalman's Filtering technology provides us the exact speed of the vehicle by means of an accelerometer and a speed sensor. Once the speed has been calculated, the algorithm uses the speed of the vehicle and converts the speed to RPM (Revolution per minute) of the wheel to find the traffic intensity. Once the traffic has been noted in a particular area it sends the information to the centralised database. The database in turn notifies the user and Police Department about the traffic and once the traffic has been identified in the path of the user, the algorithm finds an alternate path by considering factors like traffic and time to reach the destination. The notifications are sent to the user and Police Department by means of SMTP and POP3 protocol. Since the Police Department are notified with the traffic intensity, the Expert Systems checks if the traffic has been cleared or not and sends all the updates to the centralised databases.

Keywords: Fuzzy Logic, Kalman's Filtering Technology, Expert Systems, Dijkstra's Algorithm, POP3 and SMTP protocols.

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Abstract: This paper proposes a modified version of the syn- chrophasor estimation algorithm which uses the non-orthogonal transform defined as a Taylor-Fourier Transform (TFT) and which is based on a Weighted Least Squares (WLS) approx- imation with respect to a second order of Taylor model. The main objective of the project is to measure the magnitude and phase angle of dynamic electrical signal by using Taylor transform algorithm. In this work, a adapted TF-WLS algorithm for Phasor estimation has been introduced to improve the performances under transient conditions. The algorithm depend on adaptation to detect fast changes and enhance Phasor estimation Index terms-Taylor Fourier Transform (TFT),Weighted Least Squares(WLS), Synchro Phasor

Abstract: The COVID-19 (Corona virus) has sparked global panic after spreading to over 180 countries and causing 3,519,901 confirmed cases compared to 247,630 passing globally as of May 2020.The lack of any complex helpful experts, and therefore the need for resistance to COVID19, increases the population's defenselessness. Since there are no medicine available to cure, social distancing is the only viable option for combating this infection.Pre-trained deep neural network models, such as YOLOv3, is being used in this research to detect people with the help of bounding boxes that identify the human beings. The system also analyses the distances amongst people in the society using the Euclidean distance metric approach to estimate the proportion of people who infringe the social distancing within the camera footage.

Keywords: COVID-19, YOLO Algorithm, Video surveillance, Social distancing, Pedestrian detection, Pedestrian tracking.

Abstract: Combustion of fuel with oxidizer provides continuous power for the vehicles to move forward. Well-designed combustor produces complete combustion, where water and carbon dioxide are the stable products. Incomplete combustion additionally produces more emission in the form of carbon monoxide and nitrogen oxides due to factors like poor mixing of the air and fuel or insufficient excess air. Therefore in order to understand the importance of various parameters which affects the combustor performance and to design the effective combustor, which delivers high combustion efficiency, it is very essential to study the combustor using CFD techniques, performed using ANSYS Fluent software. Computational or CFD methodology is used here to perform combustion simulation on the typical combustor models, where hydrocarbon like kerosene (Jet fuel) is burned with incoming air at high velocity. Computational models are created with pre-processor such as Gambit and subsequent processing and post processing with Ansys Fluent as the software. Suitable turbulent model, chemical model and physical models are enabled to analyse and plot the mass fraction of various chemical species along the length of the combustor. Fuel Additives are used to evaluate the peak temperature. The combustion efficiency of this hydrocarbon combustion is evaluated using this numerical tool.

Abstract: Polytetrafluoroethylene (PTFE), reinforced with Boron Carbide (B4C) and Molybdenum disulphide (MoS2) were prepared by Studying the various manufacturing processes and selecting the best suitable for Producing this Composite. Mechanical Properties such as Tension test, Compression test and Hardness (Shore hardness) were done and their results were studies accordingly. The Composition of (MoS2), Boron, and PTFE compounds were varied with different Percentages so as to get the Optimized Result for Tension Test, Compression test and Shore D Hardness.

Keywords: Polymer-based Nanocomposites, fillers, hardness, Mechanical property

Abstract: Housewives often have less time available to maintain their health due to typical homemaking duties, which include maintenance of familial dietary life and child care. Women's social participation has recently increased the number of working housewives, resulting in changes in dietary patterns and also, the use of instant and processed foods has increased for reasons of convenience. The study was focused to find the nutritional status and stress level among the home makers in kanyakumari. The questionnaire in Google form was used to collect the data about socio-demographic profile, anthropometric status, dietary pattern and stress level among 51 homemakers. About 10% of the subjects were underweight, 33% were with normal BMI, 51% overweight and 6 % of the subjects were under grade I obesity. Nutrient intake was analyzed and found that energy, carbohydrate, protein, fibre, iron and calcium was deficit and intake of fat was found to be in excess. Perceived stress scale was used to assess the stress level of selected homemakers and found that 25.49% of the subjects had moderate stress, 31.38% of the subjects were under high stress category and 43.13% of the subjects had very low stress. Nutrition education was provided through e-platform. E-Poster on consequences of obesity, healthy food choices and physical activity was created and posted through e-platform. It was concluded that the nutritional status of the home makers was comparatively low, the stress level was found to be moderate to high and there is no relationship between nutrient intake and stress level.

Keywords: Housewife, nutritional status, stress, nutrition education.

Abstract: The roll forming process is a continuous bending of sheet metal. Different design parameters like roller diameter, distance between stands, roll gap, forming velocity, etc effects on a quality of roll formed products. Effects of roll gap is taken consideration for this study. A short investigation is presented in the paper on roll gap effects on a final quality of roll formed product.

Keywords: Roll gap, residual stress, longitudinal strain.

Abstract: In this article, reed bed technology is described in brief.Reed bed technology is a waste water treatment which is natural purifying decentralized process. There are different types of macrophytes present in waste water. Thus various types of reed bed i.e Horizontal flow and Vertical flow type reed bed is use. Also many types of aquatic plant species is used in this technology for treatment of waste water. This technology gives an efficient and satisfying solution to the problem of domestic waste water.

Keywords: Horizontal flow, vaertical flow, Rophytes, Rhizosphere, NitrificationDenitrification, Root-Zone.

Abstract: The Outbreak of the Covid-19 Pandemic had witnessed a worldwide crisis. It had already hit the second wave and is on verge of the third wave. Since then it has become a necessity and primary responsibility for every individual to follow government laid rules. One of the most effective solutions is wearing "Face Masks". In this paper, the detailed analysis and complete implementation of the face mask detector are presented. This detector uses the MobileNetV2 model and determines whether a person Is wearing a mask or not. Our work is based on Deep learning, TensorFlow, Keras, and OpenCV. MobilenetV2 architecture as a framework that is also accessible by embedded systems.

Keywords: Deep Neural Network, MobileNetV2, Covid-19.

Abstract: Several medications derived from traditional goods have been created in recent years, and contemporary drug research is actively studying the therapeutic effects of several Ayruvedic and Traditional Indian medical remedies. Turmeric is one of the plants being researched. Ethanolic extract of Turmeric contain Curcuminoids are the most important active component. Curcuminoids are phenolic chemicals that are extensively used as a spice, color, and anti-inflammatory agent. Smooth muscle relaxant effects of C. longa, were comparable to those of Diazepam, which could be due to the possible interaction with non-adrenergic non-cholinergic nervous system. The effect on motor co-ordination was assessed using Rota rod apparatus.

Keywords: C. longa, Ethanolic extract, Wistar rats, Diazepam.

Abstract: Human Safety is an emerging paradigm for understanding global vulnerabilities whose proponents challenge the traditional notion of national security by arguing that the proper referent for security should be at the human rather than national level. Understanding of security involves a number of research fields, including development studies, international relations, strategic studies, and human rights. The system to be implemented with the help of technologies like Machine learning and IoT will be activated with the recognition of a human's voice and notify the nearest police station along with the victim's details and location. And main purpose is an alarm system that will also be activated on the nearby streets with a connection provided with the clip using IoT techniques. The system implementation will help provide maximum safety to the people along with reducing the ongoing risks. Women are adept at mobilizing diverse groups for a common cause. They often work across ethnic, religious, political, and cultural divides to promote peace. We are all aware of importance of women's safety, but we must realize that they should be properly protected.so we are using this device especially for women safety

Keywords: HMM ,CSR,Safety,IOT,GSM,Woman

Abstract: Because of their outstanding wear resistance and corrosion resistance, aluminium alloy-based metal matrix composites (AMMC) are widely employed in the automotive, aircraft, architecture, and marine industries. Stir casting was discovered to be a cost-effective way of fabricating AMMC.In this study, aluminium alloy 5052 was reinforced with different percentages of SiC particles (1, 2, and 3 wt percent). The manufacture and examination of AA5052/SiC AMMC, which was fabricated utilising the stir casting procedure, are the goals of this research project. Optical microscopy was used to investigate the microstructures of AMMC. SiC particles were found to purify the grains and were evenly dispersed in the aluminium matrix. The aluminium matrix was adequately bound to the SiC particles.The constructed samples are machined to the desired dimensions before being tested under controlled conditions. AMMC's hardness and wear resistance were increased by the addition of SiC particles.

Keywords: AMMC, Stir casting, AA5052, SiC, Hardness, Wear Resistance.

Abstract: Diabetes mellitus is becoming increasingly common in both developed and developing countries around the world. Existing treatments, particularly synthetic pharmaceuticals, frequently fail to restore normal glycemic control without side effects. A variety of herbal medications are being studied as an alternative therapy for diabetes. The goal of this study was to test one such herbal extract of Benincasa hispida seed for anti-diabetic efficacy in diabetic rats that had been artificially generated. The extract at a dose 500mg/kg/day was administered to Alloxan induced diabetic animals for 15 consecutive days. Blood glucose levels and body weight were measured for the evaluation of its anti-diabetic effect. Our study indicates that ethanolic extract of Benincasa hispida seed has a promising effect in controlling blood glucose levels and also aid in counteracting the derangement of lipid profile, a major concern in diabetes mellitus.

Keywords: Benincasa hispida, Ethanolic extract, Wistar rats.

Abstract: Aims: In the present study, an ethanolic leaves extract of Moringa Oleifera was examined for its antiulcer potential in experimental albino rats using two models: ethanol induced and pylorus ligation-induced gastric ulceration. The extract was orally administered at three different doses (100, 150, and 250mg/kg) for 15 consecutive days. The anti-ulcer effect in rats treated with different doses of Moringa oleifera leaves extract and omeprazole (30 mg/kg, p.o.). The study was carried out between November 2020 to February 2021 in the Pharmacology Laboratory of Department of Pharmacology. Bharat Technology, West Bengal, India, Methodology: The ethanol leaf extract of Moringa Oleifera was prepared. The doses of the extract administered to the rats were 100,150, 250 mg/kg body weight respective, Ulcer was induced with diclofenac sodium (100mg/kg; b.w.). omeprazole (30 mg/kg, p.o.) were determined and statistically compared with the anti-ulcer effects in the control rats treated with saline (NaCl, 0.9%). The MO at doses of 100, 150 and 250 mg/kg decreased the ulcer index significantly as compared to the control group (p

Abstract: Cracks formed in concrete are inescapable and are one of the major reasons for the weaknesses of concrete.. The Purpose of present research work is to promote sustainable development for repairing cracks formed in concrete. Various researches have shown positive results by adding CaCo3 precipitating bacteria in concrete, also known as bacterial concrete or self-healing concrete. This research is dedicated to check the suitability of mixing these self-healing CaCo3 depositing bacteria with concrete in order to increase the compressive strength of concrete, reduce its permeability and seepage of water by bio-mineralization process. Considerable increase in strength is observed in concrete specimens when casted with bacterial solution. The study has discovered methods or ways to test the effect of use of bacteria in concrete. Tests on concrete with various combinations of bacterial solution as well as varied percentage of bacterial solution have been conducted. Results have been compared with conventional concrete. Biological modifications of construction materials are the need of the hour for strength improvement and long term durability. The present study propose to Increase compressive, tensile strength and self healing for concrete

Keywords: Bacteria, Bacillus Subtilis, Self- healing, durability.

Abstract: In past research, we found out that finding a hostel is a very critical job, this is research where we have overcome the difficulty. In this research, we have published that how to find a hostel and listing a hostel has been easy and with the help of an online marketplace for hostels. Which we have to resolve the problem of finding a hostel, which we found out in the last research. We have done n number of analysis for hostel searching and hostel listing, The results indicated that finding the hostel does have an impact on the hostel industry on this basis we made the online Marketplace platform can target the vast number of hostel searcher using an architectural proposal for the modeling of authentic hostel Marketplace, Software architecture, developed on the platform Information systems, under the technologies: Geolocation, Google maps API, Artificial intelligence, for further updates will be needed to identify other factors that could strengthen the effectiveness of Hosteller.

Keywords: Geo location, Google maps API, Artificial intelligence, Hostel, Software architecture, Information systems.

Abstract: When we want any information and answers to our questions related to our college or campus, we search it on the web but we don't always get what we were finding. And also, we discuss or share opinions on social platforms but such activities sometimes encounter threats or harassments which compel people to not express themselves properly. Many social platforms try to find out such harassments or threats in conversations so that such conversations can easily be prevented before it causes any further damage. Toxicity detection is one of such methodologies to find out the different types of conversations that can be classified as toxic in nature. To increase the efficiency in classifying such comments, we can make use of machine learning algorithms to determine the toxicity in comments. This analysis aims in developing a platform that will help us in finding the solution and we named it "CampusQueries". In this proposed system, the authentic users will be able to ask doubts as well as clear others, also we are using a machine learning model for toxic comment classification. In this model, many toxic comments have been fed to build a Bidirectional Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) model for fulfilling the purpose. So, anyone can fearlessly put their points.

Keywords: Bidirectional Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Machine Learning, OTP, Authentication, Toxic comment classifier, GloVe, CNN.

Abstract: Identifying bridge cracks and assessing bridge conditions has historically relied on labor. Bridge scrutiny by human consultants has bound disadvantages, like the failure to in person examine all sections of the bridge and sole reliance on the bridge inspector's specialist experience. Moreover, it necessitates adequate human resource coming up with, and it's not cost effective within the long-standing time. This article proposes an automatic bridge scrutiny technique that uses wavelet-based image options in conjunction with CNN to find cracks in bridge pictures mechanically. A two-stage approach is employed, with the primary stage determinative whether or not an picture are often pre-processed (based on image characteristics), and therefore the second stage extracting wavelet features from the image using a sliding window-based technique. Also on noisy and sophisticated bridge pictures, that they had been capable of achieving an overall accuracy of 92.11%.

Keywords: Convolution Neural Network, Image Processing, Machine Learning, Python

Abstract: Administrative common aeronautics offices are pushing airplane producers and administrators to improve airplane proficiency by lessening fuel utilization, cutting carbon dioxide CO2 and nitrogen oxide NOx emanations, and bringing down the apparent outer commotion. The above problems can't be rectified fully but we can ably minimize the fuel consumption, so automatically carbon dioxide and nitrogen oxide will be reduced. The best solution is to decrease the lift induced drag in the way of changing the cant angle of the winglet. So, we design a straight wing and with different sweep angle using the Catia V5 after creating these wings and we go to the CFD for analyzing the wings at certain condition. Using Winglet, the aerodynamic performance will be investigated in Low Reynolds No regime. Winglet configuration will be varied in terms of sweep back angle and cant angle. Best configuration will be optimized. Keyword - Aerodynamic performance, Cant angle, lift induced drag, low Reynolds number, Winglet

Abstract: The most dye wastewater is produced in the textile sector (54 percent), representing more than half the global environmental effluent. Textile wastewaters are hazardous effluents comprising toxic complex components that, if not treated properly, have a significant negative influence on the environment, causing harm to aquatic ecosystems as well as human health and necessitating treatment prior to discharge into natural reservoirs. To address this issue, it is necessary to establish a long-term and efficient way of treating dye effluents. Many dye removal technologies such as physical, chemical and biological approaches were used for the treatment. In this review study, we will look at several dye treatment methods, their effectiveness, and new breakthroughs in nanotechnology in dye treatment.

Keywords: Membrane filtration, Adsorption, Textile dye, Ion exchange, Electro coagulation, Fenton, Chitin, Nanoparticles, Carbon nanotubes

Abstract: In this project, we propose a stress recognition algorithm using face images and face landmarks by using pi-camera for taking the input image. In the case of stress recognition using a biological signal or thermal image, which is being studied a lot, a device for acquiring the corresponding information is required. In order to remedy this shortcoming, we proposed an algorithm that can recognize stress from images acquired with a general camera. We also designed a deep neural network that receives facial landmarks as input to take advantage of the fact that eye, mouth, and head movements are different from normal situations when a person is stressed. Experimental results show that the proposed algorithm recognizes stress more effectively. We are using convolution neural network (CNN) for classification and training purpose, Har cascade algorithm for face detection, facial landmarks for checking eye and lips, LBPH for face detection.

Keywords: Convolution Neural Network (CNN), Local Binary Pattern Histogram (LBPH), pi-camera.

Abstract: Asthma is an inflammatory disease of the airways to the lungs. It makes breathing difficult and can make some physical activities challenging or even impossible. The coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2).Coronavirus disease (COVID-19) is a more serious and fatal disease caused by a coronavirus discovered in the year 2019 in Wuhan. There is no specific treatment available in the world but the risk of coronavirus disease may be reduce through enhancing the immunity system of the body. COVID-19 is a newly identified fatal disease and there is limited information regarding risk factors for are available in the globe. Asthma, is the common risk factors of Covid-19

Keywords: Diabetes , obesity, yoga, heart condition, chronic lung disease

Abstract: Researchers are triggered by daily growth of environmental awareness and this leads to invention of more eco friendly composites. Natural fiber can be used instead of Synthetic fiber due to its superior mechanical properties in recent days as it possess high specific strength, small weight to strength ratio, low cost, eco friendly and bio degradable characteristics. It serves as a best alternative to glass, carbon and manmade fibers. Synthetic fibers burn more readily than natural fiber. In this present work, glass fiber and glass powder is reinforced with epoxy resin and hardener by using hand layup technique. Fiber length, orientation and thickness play a major role in determining the mechanical properties. Various samples were prepared by changing the fiber Proportion.

Keywords: Polymer Matrix Composite, Impact test, tensile test, Hardness test, Hybrid Composite

Abstract: There are huge applications in stainless steels due to its high corrosion resistance. These are classified into different grades based on its applications. In this study, GTAW of AISI 304 and AISI 316 L with the filler as AISI 304. Welding using ER- 309 as filler material has been reported by the researches earlier, by varying both current and voltage. And also, the current required for minimal heat affected zone was not reported. Hence this study, experiments were conducted using tungsten inert gas (TIG) welding of 304 and 316L stainless steel sheets was carried out with three different current value 25A, 30A and 35A with constant voltage. It was observed that the elongation and yield strength, hardness, and weld width were investigated based on the varying voltage and current. Moreover, in order to examine the mechanical and metallurgical behaviour of the weld, non-destructive evaluation, microstructure, thermal analysis was done. It was observed that strength and toughness of samples increased by increasing current in TIG with voltage as constant. There are zero cracks, porosity, blow holes, spatter found in welding process of plate using non consumable tungsten electrode with argon gas. The study was carried to observe the elongation, yield strength, hardness, and weld width were based on three different current 25A, 30A, and 35A respectively. It was also observed that at high current 35A has less heat affected zone which was analysed by simulation.

Keywords: AISI 316, AISI 316L, Gas Tungsten Arc Welding (GTAW), Mechanical & Thermal properties

Abstract: Today's world of communication has entered an era of advanced technology. There are mounting demands on every individual, including students of all disciplines, to turn out to be techno-savvy. Therefore, besides learning general English as an international language, students need to be equipped with adequate communicative ability so that they can transmit their message clearly. Good communication skills in English can be a key as well as a contributing factor to their professional recognition and career prospect. The present paper analyses two aspects: (1) The English language learning resources available in ELT websites besides other on line techniques to enhance English language among the students; (2) The impact of internet resources on the teaching and learning of English. Internet is a vast repository of information in modern times. As to the first viewpoint, two sub points are covered: i. The significant role the web plays in contributing endless interactive English language learning resources. There are a several number of promising and updated ELT websites. ii. The students can also enrich their English as they read more authentic articles from the internet. This apart, they have the opportunity to communicate with their foreign friends in English. They can practise a wide variety of language learning activities like quizzes on Grammar, Vocabulary, Pronunciation and LSRW skills. More importantly they can practise for language testing exams like TOEFL, IELTS, and GRE etc. For a better learning approach, these activities are categorized conveniently as Beginner, Intermediate and Advanced levels. In the second viewpoint mentioned above, the following two sub points are presented: i. The impact of the internet resources on the students in English learning. They can improve their English by comprehensively apprehending the genuine ways of communication on the net viz. Synchronous (Happening at the same time i.e., Video Conference and Chat rooms) and Asynchronous (Not occurring or existing at the same time or place i.e., e-mail). ii. The impact of the internet resources on ELT teachers. On the one hand, internet provides English teachers with abundant updated materials and teaching methods; on the other hand, it limits the role of a language teacher to being a facilitator and a guide and widens the scope of learner-centered method. However, a great deal of success comes from encouraging and preparing students to interact and learn in this online environment.

Keywords: ELT, Technology, Internet Resources, Language Learning

Abstract: The main purpose of the project is to utilize the waste Glass fiber reinforced plastic (GFRP) and High Density Polyethylene (HDPE) for different applications under mechanical recycling process. Fiber reinforced polymer (FRP) and High Density Polyethylene (HDPE) materials are being increasingly used in several applications, but especially in the construction and transportation industries. The waste management of FRP materials made with thermosetting resins is a critical issue for the composites industry because these materials cannot be reprocessed. Therefore, most thermosetting FRP waste is presently sent to landfill, in spite of the significant environmental impact caused by disposing of it in this way. Because more and more waste is being produced throughout the life cycle of FRPs, innovative solutions are needed to manage it. In this work a new composite material was fabricated by compression moulding process then the composite material was studied and tested based on fiberglass waste mixed with High Density Polyethylene Waste in different ratios of 85:15, 90:10, 95:5 (H:G). The newly fabricated composites were characterized for their mechanical properties such as compressive strength, Wear and Water absorption test as per ASTM standards. The results demonstrate the possibility of using an unexplored waste stream (glass fiber waste) as a reinforcement agent in High Density Polyethylene, which may reduce the amount of waste in landfill, while simultaneously contributing towards the circular economy.

Keywords: Glass fiber reinforced plastic (GFRP), High Density Polyethylene (HDPE), compression moulding process, circular economy.

Abstract: Traditional go kart has the same components as an electric go kart but the major change is the engine. As in the electric go kart we replace it by a battery and a motor, the main difference now is in the transmission system. This paper will take the practical approach about how to decide your chain, sprocket ratios and all the motor specifications required to maximise the output speed of an electric go kart. This paper will take both the approaches about how to determine your motor from top speed required to the tire size and also the approach where you already have a motor. Electric go karts are the future and this paper focuses on how to build a transmission system for future racing go karts and what parameters are to be considered.

Keywords: Go kart, transmission, gear ratio, sprocket, calculation, electric vehicles. .

Abstract: Nanomaterials have gained prominence in technological improvements because of their high-quality physical, chemical and biological properties with superior overall performance over their bulk materials. The foremost effect of nano-substances has been in the fields of mechanical, electronics, energy and medicine. Nanoparticles are substantially used to enhance the strength, stiffness and durability of composites. Carbon nanomaterials have attracted vast interests because of the promising benefits of mechanical flexibility which includes excessive strength, stiffness, durability, excessive conductivity, adjustable energy degrees and long-time period stability. Graphene, two-dimensional fabric has been taken into consideration as a promising material because of its extra-everyday optical, digital and mechanical homes. Graphene, a 'wonder material' is the world's thinnest, most powerful and stiffest material. It is an high-quality conductor of warmth and electricity. There are many techniques of synthesizing graphene like mechanical exfoliation, chemical vapour deposition (CVD) and epitaxial growth of graphene on sic. But every technique has its personal disadvantages.In this project, Graphene became synthesized through Liquid Phase Exfoliation (LPE) technique the usage of Graphite because the number one material. The synthesis of Graphene by this system is simple and value effective. The Graphite powder is delivered to solvent and subjected to sonication and centrifugation. The samples have been then characterised the usage of Scanning Electron Microscope (SEM), FTIR spectroscopy and X-Ray Diffraction for the confirmation of Graphene particles organized through this technique. .

Keywords: Graphite, Graphene, Liquid Phase Exfoliation (LPE), chemical vapour deposition (CVD)

Abstract: Aluminium hybrid metal matrix composites are gaining their usage in aerospace, automotive industries because of their inherent properties like high strength to weight ratio, low wear rate, etc. Aluminium 5052 metal matrix composites reinforced with Aluminium oxide (Al2O3) and Graphite (Gr) were fabricated by using stir casting process. Stir casting is selected because of its simplicity, flexibility, applicability to large quantity production and cost economic. The samples were fabricated by keeping the matrix and reinforcement percentages constant as Al5052 (94%), Al2O3 (4%) and Gr (2%). The samples were then tested for its machining characteristics. Drilling was carried out on the fabricated samples by varying the Spindle speed, feed rate and Drill bit material. Three process parameters and three levels were considered and Taguchi L9 orthogonal array design of experiment was taken. The output parameters such as Material Removal Rate (MRR) and Surface Roughness (SR) were measured for the drilled samples. The optimal process parameter of Spindle speed 1000 rpm, feed rate 150 m/min and Drill bit material HSS - TiAlN coated was obtained for maximum material removal rate of value 0.466 g/sec. The optimal process parameter of speed 3000 rpm, feed rate 150 m/min and Drill bit material HSS - TiN Coated was obtained for minimum surface roughness of value 1.182 microns.

Keywords: Stir casting, matrix, reinforcement, Material Removal Rate and Surface Roughness.

Abstract: Influences in the area of safety and security, there is perhaps no greater trend than IoT, which is about more and more devices being smart and connected to the internet, collecting and transmitting an ever-increasing amount of data from a growing number of sensors. Cameras in particular are playing an increasingly important role due to extensive capabilities in processing visual data. Video surveillance systems with computer vision and machine learning can dramatically improve the general security situation and contribute to an optimal level of human-machine communication in our society.

Keywords: security, sensors, internet, IoT, surveillance.

Abstract: Friction stir welding, a solid state joining technique, is widely being used for joining Aluminium alloys for aerospace, marine automotive and many other applications of commercial importance. The recent trend is to join dissimilar materials to take advantage of low cost material in places where high strength high cost material is not needed. In this work, joining of dissimilar aluminium alloys (AA5052 & AA7075) in friction stir welding process (FSW) technique. The process parameters were optimized using Taguchi L9 orthogonal design of experiments. The parameters considered were tool rotational speed, tool translational speed and plunge depth. The optimum process parameters were decided with reference to tensile strength of the joint. The expected optimal value of tensile strength is confirmed with the confirmation run using optimum parameters. This study shows that disorder free, excessive performing welded joints may be produced with the optimum process parameters. Based at the experimental data, empirical relations representing the parameters correspond to every output characteristic have been developed using simple regression method.

Abstract: Friction stir welding (FSW) is a method through which frictional heating and plastic deformation normally joined the work pieces at temperatures under the melting temperature of the materials. The recent trend is to join dissimilar materials to take advantage of low cost material in places where high strength high cost material is not needed. In this paper, the work is carried out to assess the impact of axial force and the mechanical properties during friction stir welding of dissimilar joint of aluminium alloys (AA6061 and AA5052 aluminium alloy). The parameters considered are tool rotational speed, tool translational speed and plunge depth. The optimum process parameters were determined with reference to tensile strength of the joint. The anticipated best value of tensile strength was confirmed by conducting the confirmation run using optimum parameters. This study shows that defect free, high efficiency welded joints with best tensile properties can be made using a proper selection of process parameters. Based on the experimental data, empirical relations among the parameters correspond to every output features have been developed using simple regression method.

Keywords: Friction Stir Welding, Aluminium Alloys, Simple Regression Method

Abstract: Automated Teller Machine (ATM) services are more popular because of their flexibility and easiness for banking systems. People are widely using their ATM cards for immediate money transfer, cash withdrawal, shopping etc. To provide high security we introduced fingerprint-based customer authentication and eye blinking technique. The main objective of this project is to develop cardless ATM (Automated Teller Machine) for multiple bank accounts. It reduces the cost of inter banking transactions as interfacing different bank databases is a resource consuming thing. In this security system the persons can enter and scan the finger after scanning a number should need to be entered and Message Module based intimation has been sent to the user if he doesn't visit the ATM and the numbers is entered by the keypads. User module is the interactive module through which the user can login to the system and perform the transactions of the user's choice. Though the proposed system provides the user a level higher convenience, efficient and user friendly. This model helps to enhance the security system of the present ATM machine which is not that secured in present computer security chain. We are also introducing the multibank account which helps the customer to choose their required account. In the general case, providing the advanced security than the present ATM machine using biometric and eye blinking. This model can be used not only in the ATM center but also in airports, shopping malls.

Keywords: ATM, Fingerprint validation, Eye Blinking Recognition, Mobile Number Valid; *Code#

Abstract: Brakes could be the crucial parts in most of the moving system that are generally used to slow down or stop the motion of the any moving system. Braking system uses the friction force to the kinetic energy of a moving parts into heat by the use of the brake pads Using of these type of friction braking leads to rise in temperature of brake pads, these leads to effecting the effectiveness of the braking system. By overcoming these effects we use electromagnetic braking In this project, we have to use eddy current braking in vehicle to stop the vehicle by non-contracting type. This braking system is friction-less, it has an advantages over the ordinary braking system in the performance and maintenance

Keywords: Ultrasonic Sensor, Actuator, Automatic Braking, Ultrasonic Emitter, Microcontroller Chip, Safe Driving

Abstract: The following project report could be a theoretical demonstration of the great use of bamboo as a reinforcing material in concrete construction and its intensive use within the substitution with steel as reinforcement in concrete load bearing members. The report has been derived with the assistance of conclusions and results of the previous reports of varied conducted experiments for crucial the mechanical properties of bamboo and its use as a cloth in construction. The development principles concerned within the coming up with of bamboo bolstered members and structures has been mentioned during this document, the utilization of bamboo within the place of steel as a full yet like steel is shown to confirm the weight reduction, economic blessings with its strength compromised to a small and safe level. Varies researches and study results are used for the deduction of a way best suited for the replacement of bamboo as reinforcing material within the correct quantity and also the right proportion and also the very best placement in situ of steel and or with steel. A way that will not compromise with the issue of safety of the structure needs to be shown within the report

Abstract: Melanoma is the most lethal type of skin cancer in the world. Several attempts have been made to detect melanoma early using deep learning techniques based on dermoscopic images. For an accurate diagnosis of melanoma, it is important to distinguish complex lesion patterns. The typical lesion patterns, on the other hand, are not consistently present, resulting in sparse labelling issues in the results. We suggest a multi-tasking system in this paper

Keywords: opencv, feature extraction, image pre-processing, CNN algorithm etc.

Abstract: Deoxyribonucleic acid (DNA) is a molecule carrying genetic instructions for the development, functioning, growth and reproduction of all known organisms and many viruses. Hydrolysis of phosphodiester bond of DNA (DNA cleavage) is of critical importance at several stages in cell cycle and design of artificial metallonucleases.DNA binding is important for nuclease to exhibit DNA cleavage activity. Hence an attempt is made in this article to compare the DNA binding abilities of few amino acid based schiff base complexes reported earlier. Ternary Cu(II) - schiff base - heterocyclic base complexes [Cu(II)(saltrp)(phen)] (1), [Cu(II)(saltrp)(bipy)] (2), [Cu(II)(saltyr)(phen)] (3) and [Cu(II)(saltyr)(bipy)] (4) (where saltrp/saltyr = Schiff base derived from salicylaldehyde (sal) and amino acids - tryptophan (trp) or tyrosine (tyr); phen = 1,10 phenanthroline and bipy= 2,2' bipyridine) were synthesized and characterized. Complexes (1-4) exhibited square pyramidal geometry (CuN3O2) where Schiff base (saltrp and saltyr) and heterocyclic base act as ONO and as NN donor ligands respectively. Calf thymus (CT) DNA ability of complexes (1-4) studied by various techniques revealed that the complexes bind through intercalative mode and show good binding ability. The DNA binding ability of the complexes follow the order 1>2>3>4. Phenanthroline complexes (1,3) binds DNA more effectively as compared to their corresponding bipyridine (2,4) complexes due to the presence of extended aromatic phenyl ring which might be involved in an additional stacking interaction with DNA bases.

Keywords: Schiff base, Copper complexes, DNA binding, Absorption & Fluorescence Spectroscopy.

Abstract: For security researchers, phishing assaults' increasing frequency continues to be a major worry. Conventional signature-based methods for phishing website detection frequently miss freshly created phishing sites. By utilizing large and varied datasets, researchers are creating machine learning-based systems that can accurately identify and categorize phishing websites in order to address this issue. Logistic Regression (LR), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN) are among the models that are trained after a sequence of procedures to suitably prepare the dataset. In order to wrap up this study, the top-performing model as determined by performance metrics is integrated into a Flask web application. The integration of machine learning models for end-user accessibility is frequently overlooked in existing research, which frequently concentrates only on model performance. This study makes a contribution by outlining the thorough procedures necessary to include the chosen model into an intuitive web application utilizing the Flask framework, in addition to comparing the suggested model's performance with earlier research.

Keywords: Security, Phishing, Conventional based methods, LR, KNN, SVM, DT, RF, ANN, Flask.