Design of Smart Battery Management System for Electric Vehicle

International Journal of Scientific Research in Science and Technology, 2022

Composites or composite materials are engineered materials that consist of two or more constituent materials with wide discrepancies in their physical, chemical, and mechanical properties. The characteristic properties of these composite are as a result of the individual properties of their constituent parts and their respective volume fractions and arrangements in the material system. Depending on the intended application, composites can be designed to satisfy specific geometrical, structural, mechanical, chemical, and sometimes aesthetic requirements. Areas of application of these synthetic materials includes construction such as in buildings and bridges, automotive industry such as in car bodies, aeronautic, naval (e.g., ships and boats), and in the biomedical fields. Therefore, the main purpose of this paper is to introduce composite materials, epoxy resins their additives, fillers and discuss their current and potential use in coatings, electronic materials, adhesives, and matr...

International Journal of Scientific Research in Science and Technology, 2022

This paper is related to comparative study of Mno2 and polypyrrole, Mno2 and polypyrrole are separately deposited on two different stainless steel substrate using electrodeposition method, we have studied their super capacitance behaviour using cyclic voltammetry technique and charge discharging curve. We got maximum capacitance value equal to 184.42 F/gm and 29.72 F/gm For MnO2 and Polypyrrole so Mno2 shows better performance than polypyrrole.

International journal of scientific research in computer science, engineering and information technology, 2022

With the sole objective of making the fresh graduates to be ready for employment with the necessary knowledge, competencies and the attitude, the UGC has framed the guidelines for higher educational institutions to offer apprenticeship and/or internship integrated degree programme at the undergraduate level. The scheme will focus on outcome-based learning and will equip the students to demonstrate workforce abilities for potential employment. The Apprenticeship/Internship degree programme will be embedded in the general stream with cooperation between industry and academia. This will bring a close relationship between education and industry/service sectors on a sustainable basis apart from helping the industry in securing good quality manpower. Across the global, Apprenticeship/Internship is considered as the most efficient and effective structured training programme for exposure to the real working environment. This strategy has an enormous scope to combine work-based learning with theoretical knowledge of respective disciplines. Amendments made in Apprenticeship Act/Rules during 2014-19 have given scope to link Apprenticeship programme to Education. Further, the UGC taking into consideration the present situation has framed new guidelines to improve the employability of students in the general stream ; to focus on outcome-based learning ; and to promote linkage between the degree programmes and industry. In this regard, the present article will introduce the readers with regard to the programme objectives, scope, duration, credit mechanism, assessment, learning outcome, role of HEIs, roles of Industry Associations, Sector Skill Councils and Board of Apprenticeship Training and lastly, monitoring by UGC. These guidelines have been designed keeping in view the visionary goal set by the NEP, 2020 for holistic development of the students.

International journal of scientific research in science, engineering and technology, 2022

The NEP, 2020 envisages that at least 50% of learners in school and higher education system shall have an exposure to vocational education by 2025. Keeping this in view, the policy recommends that Vocational Education shall be integrated in the educational offerings of all secondary schools in a phased manner. Thus, secondary schools will also collaborate with ITIs, polytechnics, local industry, etc. A framework of possible pathways of synchronizing general education with vocational and skill education is suggested by the UGC. Focus areas for Vocational Education will be chosen based on skills gap analysis and mapping of local opportunities. This framework will provide the basis for recognition of prior learning. The credit-based framework will also facilitate mobility across 'general' and 'vocational education'. The new higher education system tends to be inclusive of all tertiary education and training sectors and learning pathways. Learning modes could be formal, non-formal, and informal learning with quality assurance so that the outcomes are comparable, recognizable, and transferable. Recognition of prior learning and the integration of skills and competencies earned by learners as credits into a formal certification of academic qualification is a unique practice. The outcomes are comparable, recognizable, and transferable, and thus contribute to lifelong learning. The present article highlights the background of the Vocational Education along with NEP policy perspective on vocational education. It also highlights the theoretical framework for synchronization of general education with vocational and skill education as suggested by UGC.

International journal of scientific research in computer science, engineering and information technology, 2022

Over the past few years, Discord's popularity has grown tremendously, expanding its target user demographic. Discord, in recent times, has broken the walls that they had previously encapsulated themselves within, and are growing to be much more than an application meant exclusively for gamers. Now, colleges, schools, offices, and groups with common interests have come together to establish communities where all parties are benefited. Discord provides a platform for developers to contribute to the community and various guilds with its publicly available Application Programming Interface (API)-called the Discord API. This paper aims to analyse bot applications, taking our own bot created for student communities, called 'Kanmani', written in Python, as an example. Development of a bot involves a multitude of steps right from creating an application on the developers' portal, writing code for the backend of the bot, ensuring maintenance of security features, and hosting it on a platform that allows the service to be always available to Discord servers. Depending on the requirements of a server and its members, an appropriate bot can be developed and added using Discord's API.

International Journal of Scientific Research in Science and Technology, 2022

Scientific writing is a technical form of writing that is designed to communicate scientific information to other scientists. Scientific writing is predicated on the rigors of scientific inquiry; therefore, it must reflect the same precision as that demanded in the research process. Successful scientific writing depends on the individual writer’s projection of a shared professional context. Writers seek to embed their writing in a particular social world which they reflect and conjure up through approved discourses. The objective of scientific writing is to record data and all ideas which must be supported by evidence, with appropriate citations of the source of the evidence. This paper therefore looks at introduction to scientific writing, types of scientific writing and their styles. This is underscored by the fact that without a written record of the findings and observations of researchers, no proof exists that any research was conducted. Scientific writing should build on and e...

International Journal of Scientific Research in Science, Engineering and Technology, 2020

Stereo vision is a challenging problem and it is a wide research topic in computer vision. It has got a lot of attraction because it is a cost efficient way in place of using costly sensors. Stereo vision has found a great importance in many fields and applications in today’s world. Some of the applications include robotics, 3-D scanning, 3-D reconstruction, driver assistance systems, forensics, 3-D tracking etc. The fundamental test of sound system vision is to create exact difference map. Sound system vision calculations for the most part perform four stages: first, coordinating cost calculation; second, cost collection; third, dissimilarity calculation or enhancement; and fourth, divergence refinement. Sound system coordinating issues are likewise examined. An enormous number of calculations have been produced for sound system vision. But characterization of their performance has achieved less attraction. This paper gives a brief overview of the existing stereo vision algorithms....

International Journal of Scientific Research in Science and Technology, 2022

Congestion management and procedural knowledge require obstacle prediction of network based on large amounts of dataset. Traditional time series forecasting approaches struggle to create effective prediction models since time series analysis in prediction of network traffic is very unstable time parameter and is also non linear in nature, which may cause a very low forecast accuracy. Hence the define usage of LSTM ie. Long Short Term Memory Recurrent Neural Network has been developed as very important alternative for Neural Network (NN) efficiency. The paper proposed to develop an efficient method in combination with genetic algorithm (GA) and of Long Short Term Memory Recurrent Neural Network (LSTMs) in prediction of environment features and positions of obstacles. The combination of both will be comprises of two sections, one with LSTM which is used for feature extraction and GA is used to enhance hyper parameters extracted for the LSTMs networks. The method assumes the higher pre...

International Journal of Scientific Research in Science, Engineering and Technology

Diagnosis of autism spectrum disorders (ASD) is a complex task, the solution of which usually depends on the experience of the physicians due to the lack of specific quantitative biomarkers. Machine learning and Deep Learning approaches are increasingly being used as a diagnostic tool for ASD classification, with the potential to improve discrimination validity among ASD and typically developing (TD) individuals. This paper describes the use of feature selection and two classification techniques to successfully distinguish between individuals with ASD and individuals without ASD, using data from a large resting-state functional magnetic resonance imaging (rs-fMRI) database.

International Journal of Scientific Research in Science and Technology, 2022

At the beginning and end of each session, attendance is an important aspect of the daily classroom evaluation. When using traditional methods such as calling out roll calls or taking a student's signature, managing attendance can be a time-consuming task. The teacher normally checks it, although it's possible that a teacher will miss someone or some students' answers many times. Face recognition-based attendance system is a solution to the problem of recognizing faces for the purpose of collecting attendance by utilizing face recognition technology based on high-definition monitor video and other information technology. Instead of depending on time-consuming approaches, we present a real-time Face Recognition System for tracking student attendance in class in this work. The suggested method included identifying human faces from a webcam using the Viola-Jones technique, resizing the identified face to the desired size, and then processing the resized face using a basic Lo...

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Road conditions with holes are a common cause of accidents in a traffic environment. For motorcycle riders, car drivers, and other vehicle drivers, this can be fatal. For driving comfort, transportation safety, and infrastructure integrity, road surface monitoring and maintenance are critical. As a result, by identifying pot holes on the highway, this article seeks to develop a road contour damage information system. In this work, we suggest an Android-based application for executing data collecting points for government entities such as the NHAI and municipalities, among others. To create the app, we trained a model to recognize whether or not an image has a pothole. If a pothole is detected, the image is saved on a server, where it can subsequently be retrieved by appropriate authorities for maintenance and analysis. Instead of using the classic paper pen method, government personnel can utilise this mobile app to collect data. We plan to limit the quantity of photographs a person...

International Journal of Scientific Research in Science, Engineering and Technology

The primary goal of this thesis is to simulate the causes of human face ageing and to detect skin illnesses. This project combines the capabilities of a Deep Learning model, notably EfficientDet, with the capabilities of a machine learning model and Advanced Computer Vision to identify and locate aging and skin disease. In an uploaded photo there are irregularities which can be detected. The appearance of age-related face changes is determined by a variety of factors. Wrinkles, dark patches, and swollen eyes are all variables to consider. The TensorFlow Objection Detection API is used to investigate the factors. TensorFlow Zoo's EfficientDet model is pre-trained. The proposed models are found to be effective based on the outcomes. Very effective in predicting the indications of ageing in people of all ages. Python was used to implement this project.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Human behaviors can never fail to astound society. People behave as they want in their privacy and sometimes it can be weirdest, dark, and taboo. Sex is not a routine and normal topic in the conversation of Indian society. Therefore, people are very secretive about their sexual beliefs, thoughts, and sexuality. Whenever anybody does anything where she/he knows that their act is not going to be known by others people tend to involve in such acts. This is the exact angle that blackmailers in sextortion have identified and they get success too in duping people. They threaten people to viral their videos or chat in the sexual act. But, the Majority of the crimes committed on social media go unreported or untraced. Due to lack of procedural setups to identify the accuses. especially in the cases of sextortion where name and shame in the society are attacked of any individual. The present research paper aims to provide a simple procedural method to identify the accused in the offences com...