Prof. Jayanth Kumar Rathod, Dhanyashree, Shayanashree. N, Kathanika Mogeraya
{"title":"Advancements and Integration in Computer Vision and Graphics Systems","authors":"Prof. Jayanth Kumar Rathod, Dhanyashree, Shayanashree. N, Kathanika Mogeraya","doi":"10.48175/ijarsct-19210","DOIUrl":"https://doi.org/10.48175/ijarsct-19210","url":null,"abstract":"This review study looks at two important areas of recent work: improvements in computer vision algorithms and the incorporation of computer graphics into computer vision systems. We explore the development of computer vision in Part 1, highlighting its many uses in various fields as UAV image processing and automobile navigation. Even while real-time processing is essential in many situations, classic local algorithms which are highly valued for their speed often sacrifice image quality in favour of global algorithms. But recent work reveals subtle modifications to matching computations and data gathering techniques that support local algorithms, leading to performance that approaches that of global algorithms with respect to matching rate. In Part 2, an innovative method for combining computer vision and graphics is shown for creating a new telepresence and collaboration platform. Three key features of this system are its smooth integration of the physical and virtual worlds for input and output, its ability to enable remote collaboration between users, and its ability to facilitate interaction between different 3D graphics programs. This system is designed for future high-bandwidth networks and sends real-time fusions of dynamic computer graphics and vision data. This paper highlights the visual dimension and the mutually beneficial relationship between computer graphics and vision for telepresence and collaborative applications. Preliminary studies show promising possibilities for this technology to create immersive spaces suitable for various cooperative tasks across high-bandwidth networks. Our goal in doing this thorough assessment is to clarify the course of these","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"25 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI Based Analysis and Partial Differential Equations","authors":"M. Krishna Reddy, N. Vijayabhaskar Reddy","doi":"10.48175/ijarsct-19212","DOIUrl":"https://doi.org/10.48175/ijarsct-19212","url":null,"abstract":"The intersection of artificial intelligence (AI) and partial differential equations (PDEs), emphasizing how AI techniques can revolutionize the analysis and solution of PDEs in various scientific and engineering applications. Traditional methods for solving PDEs often face challenges related to computational complexity, high-dimensionality, and nonlinearity. By leveraging advanced AI algorithms, particularly deep learning and neural networks, we propose novel approaches to approximate solutions, reduce computational costs, and handle complex boundary conditions more effectively. The study highlights the advantages of AI-driven methods in terms of accuracy, efficiency, and scalability, presenting case studies from fluid dynamics, quantum mechanics, and financial mathematics. Our findings suggest that AI has the potential to significantly enhance the analytical capabilities and practical applications of PDEs, paving the way for new advancements in both theoretical research and real-world problem solving","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"50 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting Student Smoking Habits with Machine Learning Techniques","authors":"Shashank H M, Hemanth Kumar","doi":"10.48175/ijarsct-19209","DOIUrl":"https://doi.org/10.48175/ijarsct-19209","url":null,"abstract":"Smoking among students remains a health concern, the intent of this work is to predict the students those who smokes cigarette by utilizing a machine learning-based approach based on behavioral, socioeconomic and other factor. The model should utilize available data to accurately classify students into smoker and non-smoker categories. The data is collected through Google forms from random people. Here in this work Random Forest models, Logistic Regression techniques, and Decision Tree methods are employed for building prediction model for smoking behavior. Comparative analysis of these three algorithms provides us the vision on which method is significant for the task","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"उच्च शिक्षा में प्रवेश लेने वाले विद्यार्थियों में परीक्षा चिंता स्तर के मध्य तुलनात्मक अध्ययन","authors":"प्रीती सिंह, डाॅ रेखा शुक्ला","doi":"10.48175/ijarsct-19213","DOIUrl":"https://doi.org/10.48175/ijarsct-19213","url":null,"abstract":"प्रस्तुत शोध-पत्र में उच्च शिक्षा में अध्ययनरत विद्यार्थियों के परीक्षा चिंता स्तर के मध्य तुलनात्मक अध्ययन करने के उद्देश्य से कानपुर नगर के विभिन्न स्ववित्त पोषित महाविद्यालयों के प्रथम सेमेस्टर के विभिन्न पाठ्यक्रमों में अध्ययनरत 500 विद्यार्थियों को अध्ययन में शामिल किया गया। इसमें 250 छात्र व 250 छात्राओं को स्तरीकृत यादृच्छिक विधि से चयन कर अध्ययन में शामिल किया गया। तत्पश्चात उन पर मधु अग्रवाल एवं वर्षा कौशल द्वारा निर्मित परीक्षा चिंता मापनी प्रशासित की गयी। प्राप्त आंकड़ों के विश्लेषण में पाया गया कि 500 विद्यार्थियों में 26 प्रतिशत अर्थात् 130 विद्यार्थी निम्न परीक्षा चिंता स्तर 47.4 प्रतिशत अर्थात् 237 विद्यार्थी औसत परीक्षा चिंता स्तर तथा 26.6 प्रतिशत अर्थात् 133 विद्यार्थी उच्च परीक्षा चिंता स्तर रखते है। जब लिंग के आधार पर छात्र-छात्राओं में परीक्षा चिंता स्तर का तुलनात्मक अध्ययन किया गया तो टी-परीक्षण का मान 1.69 प्राप्त हुआ जो 0.05 स्तर पर सार्थक अन्तर को व्यक्त नहीं करता अर्था्त हम कह सकते है कि ‘छात्र-छात्राओं के परीक्षा चिंता स्तर में कोई सार्थक अन्तर नहीं है।","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"38 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141818258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Studies of Viscosity and Thermodynamic Parameters of Substituted Benzimidazolyl Derivatives in Binary Solvent Mixture","authors":"A.W Wakode, S. M. Bagade","doi":"10.48175/ijarsct-19203","DOIUrl":"https://doi.org/10.48175/ijarsct-19203","url":null,"abstract":"Viscosity experimental data for binary solvent mixtures including substituted benzimidazolyl derivatives have been examined. The investigation was conducted for temperature variation as well as variations in solute concentration in binary solvents. Similar to other transport properties, viscosity measurement offers insight into the interactions between solutes and solvents. In a similar manner, thermodynamic parameters such as free energy change (∆G), enthalpy change (∆H), and entropy change (∆S) have been assessed using relative viscosity and density at various temperatures. Viscosity and thermodynamic parameters have been determined to understand molecular interaction","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"22 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pharmacognostic Investigation on the Seeds of Jatropha Curcas Linn","authors":"Vinayashri Ashok Kamalakar, Mr. Prashant Aiwale","doi":"10.48175/ijarsct-19207","DOIUrl":"https://doi.org/10.48175/ijarsct-19207","url":null,"abstract":"Jatrophacurcas Linn.is a known medicinal plant in traditional system of medicine . All the parts of the plant are credited with medicinal properties. Oil from the seeds is depurative and antiseptic; considered to be useful in scabies, eczema and ringworm diseases and as a cleaning application for wounds, sores and ulcers.[1] The objective of present work were pharmacognostic , physicochemical and phytochemical studies jatrophacurcas unripe and ripe seeds. macroscopic, microscopic, and powder features, phytochemical ,physicochemical properties were determined using standard method. After decades of a strong emphasis on modern medicine, there has been a growing interest among people in ancient healing systems such as Ayurveda, Siddha, and Unani. Due to the negative side effects often linked with synthetic medications, herbal remedies are increasingly significant in health care, particularly in developing nations.","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"79 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prof. Shreedhar Maruti Kumbhar, Dr. T. Subbu Raj, Ranjith MN
{"title":"Expense System Tracking","authors":"Prof. Shreedhar Maruti Kumbhar, Dr. T. Subbu Raj, Ranjith MN","doi":"10.48175/ijarsct-19206","DOIUrl":"https://doi.org/10.48175/ijarsct-19206","url":null,"abstract":"The development of an expense system tracking project aims to simplify and robotise the process of managing expenses within an organization. Traditional methods of expense tracking often depend on manual entry and paper receipts, leading to futility, errors, and delays in compensation. This project utilizes modern technologies such as cloud computing and mobile applications to create a strong and user-friendly platform for employees to submit, track, and manage their expenses smoothly. Accounting System is a daily cash management system specifically designed for salaried and non-salaried employees to easily and efficiently track their daily expenses through an automated system that eliminates manual paperwork. It also manages the text in the system and ensures that users can enter stored data correctly. The application is designed to be user-friendly and requires minimal effort. The language we use to develop the system is PHP and MySQL for the database. The purpose of Expense System Tracking is to ensure that your data/valuable data is stored for a long time and is easily accessible by replacing the existing manual system using computer hardware and computer software that suits your needs. The system can lead to a safe, error-free, reliable, and fast navigation system","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"64 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jayanthkumar A Rathod, Anvesh A Shetty, Hithashree, Rakshitha, Sneha S, Apeksha K
{"title":"Future of 5G Wireless System","authors":"Jayanthkumar A Rathod, Anvesh A Shetty, Hithashree, Rakshitha, Sneha S, Apeksha K","doi":"10.48175/ijarsct-19204","DOIUrl":"https://doi.org/10.48175/ijarsct-19204","url":null,"abstract":"This research article offers a comprehensive study of 5G wireless networks' future, covering a range of topics from their conception to their anticipated course. The article starts with an introduction and focuses on how 5G technology can revolutionize connection and enable cutting-edge apps and services. The evolution of mobile communication networks from 1G to 5G is then traced, with an emphasis on the societal influences and technological developments that have shaped the current state of the telecom industry. This article examines the present state of 5G networks, highlighting their key features, improvements over earlier generations, and global rollout status. In addition, the article explores the technological developments that are propelling 5G's development, such as network slicing, the use of millimetre wave spectrum, and the deployment of standalone modes, and examines how these can affect network performance. The Internet of Things (IoT), smart cities, remote surgery, and emerging applications like augmented and virtual reality (VR) and AR are some of the applications that are made possible by 5G. Other applications that are explored include security concerns, infrastructure development costs, and regulatory obstacles. The paper concludes with insights into the exciting possibilities and considerations surrounding the future of 5G technology. Finally, the article gives several projections and forecasts regarding the future of 5G, discussing probable dates for wider adoption and the next steps in 5G development.","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"123 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovations in Internet of Things: Challenges and Opportunities","authors":"Dr Gorli Murali, S Sankararao Mallavarapu","doi":"10.48175/ijarsct-19205","DOIUrl":"https://doi.org/10.48175/ijarsct-19205","url":null,"abstract":"This study delves into the latest advancements in the Internet of Things (IoT) and their application across diverse sectors such as healthcare, agriculture, and urban development. It critically examines the primary challenges confronting IoT deployments, including security vulnerabilities, interoperability issues, and regulatory complexities. Moreover, the paper forecasts future trends and opportunities within the IoT landscape, highlighting emerging technologies and innovative business models poised to drive further growth and development. The study also explores the societal impact of IoT innovations and the role of media in shaping public perception and awareness","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"116 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Integration and Impact of Artificial Intelligence in Software Engineering","authors":"Celia Dolores Benitez, Montes Serrano","doi":"10.48175/ijarsct-19190","DOIUrl":"https://doi.org/10.48175/ijarsct-19190","url":null,"abstract":"Artificial Intelligence (AI) has emerged as a transformative force in various domains, including software engineering. The integration of AI into software engineering practices has led to significant advancements in project management, software development, and testing processes. This paper explores the profound impact of AI on software engineering by examining its historical context, methodologies, and practical applications. It delves into AI-driven project management, AI-assisted software development lifecycle, and AI in software testing. Additionally, it highlights the application of AI in Software as Medical Devices (SaMD), software measurement, and overall software engineering practices. The interaction between AI and software engineering presents synergies and mutual benefits, yet poses challenges such as data quality, model interpretability, and ethical concerns. The paper concludes with insights into future trends and research directions, emphasizing the potential of AI to revolutionize software engineering further and the need for continuous research to address emerging challenges. The findings underscore the transformative potential of AI, guiding practitioners and policymakers towards more efficient, ethical, and innovative software engineering practices","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}