Dr. Ch. Manohar Kumar, S. Yaswanth, B. V. S. Teja, K. Akhila, S. Joshna
{"title":"A Novel Rhombus Shaped Multiband Antenna for Wireless Applications","authors":"Dr. Ch. Manohar Kumar, S. Yaswanth, B. V. S. Teja, K. Akhila, S. Joshna","doi":"10.55524/ijircst.2024.12.3.2","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.2","url":null,"abstract":"A 30X20X1.6mm3 Novel Rhombus Shaped ring type multiband Antenna was proposed in this paper. The Antenna has 25x15mm2 partial ground inserted below the FR4 Epoxy Substrate to improve performance of Antenna. In addition, we added two rectangle shaped patch structures of dimensions 14X5.5mm2 on both sides of Feed structure to improve S11.The proposed design operates at three bands covering C, X, and Ku band regions. Here we got better S11 at 12.1GHZ which is useful for Radar Applications.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141023494","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":"INDPLAY-A Software Solution for Uncovering India's Sporting Talent","authors":"Akash Kumar, Apeksha Labshetwar, Asmita Kawale, Hozefa Cycle, Prof. Parmeshwari Aland","doi":"10.55524/ijircst.2024.12.3.5","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.5","url":null,"abstract":"In an era where the pursuit of sporting dreams often encounters formidable challenges, INDPLAY emerges as a beacon of hope and opportunity for aspiring youth and children passionate about forging a career in sports. Recognizing the pivotal role that knowledge, coaching, and infrastructure play in shaping the trajectory of budding athletes, INDPLAY aims to bridge the gap that often hinders the realization of their potential. At the heart of INDPLAY's mission is the unwavering commitment to identifying, nurturing, and rewarding excellence in the realm of sports. The platform boasts a team of seasoned experts, dedicated to meticulously evaluating the skills, determination, and growth potential of participants in various competitions. Through this rigorous assessment, selected athletes are granted the chance to embark on a transformative journey that transcends the boundaries of conventional sporting pursuits. INDPLAY distinguishes itself by organizing a diverse array of sporting events spanning multiple disciplines. These competitions serve as a dynamic stage, providing a unique opportunity for aspiring athletes to not only compete but also to showcase their abilities to a broader audience. More than mere contests, these events instill a spirit of healthy competition, fostering an environment where participants are encouraged to push their limits and exceed their perceived capabilities. In this report, we delve into the multifaceted approach adopted by INDPLAY to empower youth in sports. From recognizing and rewarding excellence to organizing diverse competitions and partnering with esteemed coaches, INDPLAY's holistic strategy serves as a compelling model for addressing the challenges faced by aspiring athletes. As we explore the intricacies of this transformative platform, we aim to shed light on its potential to redefine the landscape of youth sports, offering a beacon of inspiration and opportunity for generations to come.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"109 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141033126","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}
Pravek Sharma, Dr. Rajesh Kumar Tyagi, Dr. Priyanka Dubey
{"title":"Optimizing Real-Time Object Detection- A Comparison of YOLO Models","authors":"Pravek Sharma, Dr. Rajesh Kumar Tyagi, Dr. Priyanka Dubey","doi":"10.55524/ijircst.2024.12.3.11","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.11","url":null,"abstract":"Gun and weapon détection plays a crucial role in security, surveillance, and law enforcement. This study conducts a comprehensive comparison of all available YOLO (You Only Look Once) models for their effectiveness in weapon detection. We train YOLOv1, YOLOv2, YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7, and YOLOv8 on a custom dataset of 16,000 images containing guns, knives, and heavy weapons. Each model is evaluated on a validation set of 1,400 images, with mAP (mean average precision) as the primary performance metric. This extensive comparative analysis identifies the best performing YOLO variant for gun and weapon detection, providing valuable insights into the strengths and weaknesses of each model for this specific task.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"249 4‐6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141144954","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}
Nanda Novita, Nurul Khairina, Suendri, A. Saleh, F. Azmi
{"title":"Fuzzy Logic Controller Design for Intelligent Lighting and Air-Conditioning Management Systems","authors":"Nanda Novita, Nurul Khairina, Suendri, A. Saleh, F. Azmi","doi":"10.55524/ijircst.2024.12.3.13","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.13","url":null,"abstract":"In an effort to conserve energy and optimize the use of resources, this research explores the application of fuzzy logic control techniques to improve energy efficiency in intelligent lighting and air conditioning (AC) management systems. This research aims to investigate how fuzzy logic control strategies can be incorporated into intelligent systems to regulate lighting and air conditioning operations with greater precision, adaptability, and energy efficiency. By utilizing a fuzzy logic algorithm, this research develops a model that is able to dynamically adjust lighting levels and AC settings based on environmental conditions, housing patterns, and user preferences. Fuzzy logic control has proven useful for maintaining the desired level of comfort and optimizing electrical energy consumption through trials. The research results show that the integration of fuzzy logic control methodology offers significant potential to improve energy efficiency in lighting and air conditioning management systems, leading to reduced energy consumption and operational costs. These findings highlight the importance of intelligent control in the sustainable management of electrical equipment and provide valuable insights for the design and implementation of energy-efficient systems in a variety of contexts.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"21 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141136869","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":"Protecting Children from Online Grooming in India's Increasingly Digital Post-Covid-19 Landscape: Leveraging Technological Solutions and AI-Powered Tools","authors":"Dr. Deepika Rani","doi":"10.55524/ijircst.2024.12.3.8","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.8","url":null,"abstract":"The COVID-19 pandemic has accelerated the rise of online grooming and exploitation of children in India. This article examines the legal, technological, and educational aspects of protecting children in the post-pandemic digital landscape. Through a comprehensive qualitative methodology involving literature review, legal analysis, and technological assessment, the article provides a critical and analytical approach to understanding the tactics employed by online groomers, the psychological and emotional impact on child victims, and the long-term effects of online grooming. It analyzes the tactics of online groomers, the impact on victims, and the challenges in implementing India's legal framework. The research explores the role of technology in prevention and detection, such as parental control software and AI algorithms, while balancing safety and privacy. It emphasizes the importance of education and awareness to empower children and caregivers through digital literacy, safety skills, and open communication. The article proposes a multi-faceted approach to strengthen India's response, including enhancing legal frameworks, investing in technology, promoting collaboration, and prioritizing child protection in the digital age. By adopting a comprehensive and child-centred approach, India can become a global leader in safeguarding children's rights and well-being in the rapidly evolving digital world.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141029257","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":"Enhancing Student Performance Prediction Using a Combined SVM-Radial Basis Function Approach","authors":"Yuan Anisa, Winda Erika, Fadhillah Azmi","doi":"10.55524/ijircst.2024.12.3.1","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.1","url":null,"abstract":"This research aims to improve student performance predictions using a combined SVM (Support Vector Machine) and radial basis function (RBF) approach. The developed model utilizes a combination of the strengths of SVM in handling class separation and the ability of RBF to capture complex patterns in data. Student assessment data, including math, reading, and writing scores, is used as a feature to predict student performance on tests. Preprocessing steps, including feature normalization and label encoding, are applied to prepare the data for model training. Next, the SVM model with the RBF kernel is initialized and optimized using GridSearchCV to find the best parameters. Model evaluation was carried out using the R2 metric to evaluate how well the model predicts student performance. Experimental results show that the combined SVM-RBF approach can improve student performance predictions with fairly accurate prediction results of 88%. The practical implication of this research is the development of a more accurate model for predicting student performance, which can be used as a tool to improve educational interventions and decision-making in educational institutions.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141044431","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":"A Comprehensive Review of YOLOv5: Advances in Real-Time Object Detection","authors":"Sandeep Kumar Jaiswal, Rohit Agrawal","doi":"10.55524/ijircst.2024.12.3.12","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.12","url":null,"abstract":"YOLOv5 represents a significant advancement in the field of real-time object detection, building upon the YOLO (You Only Look Once) series' legacy. This paper provides a comprehensive review of YOLOv5, examining its architecture, innovations, performance benchmarks, and applications. We also compare YOLOv5 with previous YOLO versions and other state-of-the-art object detection models, highlighting its strengths and limitations. Through this review, we aim to offer insights into the evolution of YOLOv5 and its impact on the field of computer vision.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"351 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141138867","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}
Dr. P.A. Nageswara Rao, Mr. V. D. S. Venkat, Mrs. K. Sharmila, Mrs. M. Tharangini
{"title":"Implementation of a Fully Automatic Four-way Traffic Light Controller Using Verilog","authors":"Dr. P.A. Nageswara Rao, Mr. V. D. S. Venkat, Mrs. K. Sharmila, Mrs. M. Tharangini","doi":"10.55524/ijircst.2024.12.3.6","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.6","url":null,"abstract":"The traffic control system is one of the challenging problems in metropolitan and developed cities. This is due to the large number of vehicles and the high dynamics of the traffic system. Impoverished traffic systems are the big reason for accidents and time losses. In this project, the Fully Automatic Four-way Traffic light controller is implemented by using Verilog and we have overcome some drawbacks i.e., we included the area detection parameter that improves the detection of vehicles compared to the design part in the base paper.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141055532","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}
Mohammed Faizan, Peal Desai, Rupesh Sharma, Taha Kotwal, Prof. Balwante S S
{"title":"Unlocking Athletic Potential The Athle-E-Team Software Solution","authors":"Mohammed Faizan, Peal Desai, Rupesh Sharma, Taha Kotwal, Prof. Balwante S S","doi":"10.55524/ijircst.2024.12.3.4","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.4","url":null,"abstract":"The \"Athle-E-Team\" project is an innovative collaborative sports platform designed to revolutionize the way athletes connect and engage in sports within their local communities. With a focus on enhancing the overall sports experience, the platform utilizes cutting-edge technologies to foster real-time connections and facilitate seamless play among nearby athletes. Key features include a user-friendly interface for easy navigation, integrated chat functionality for communication, and robust search capabilities for both players and nearby sports facilities. This dynamic platform not only addresses the challenges of traditional sports community engagement but also empowers athletes to organize impromptu games, locate available grounds, and build a vibrant and connected local sports community. \"Athle-E-Team\" represents a significant leap forward in leveraging technology to create a more accessible, interactive, and inclusive environment for sports enthusiasts.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"60 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141031693","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":"Smart Helmet Implementation using GSM Module","authors":"Ramana Babu Ch, Harish Kumar Yediri, Manohar Eere","doi":"10.55524/ijircst.2024.12.3.7","DOIUrl":"https://doi.org/10.55524/ijircst.2024.12.3.7","url":null,"abstract":"India is the second most populous country in the world, and it has a lot of young people. These days, young people like riding bikes, but because it's cool, they don't wear helmets. Because of these things, there are more and more bike crashes every day, which kill people. Head accidents kill a lot of people, but you can avoid them by wearing a helmet. More and more people are getting caught driving while drunk, which leads to crashes and deaths because of carelessness. These events led us to create a smart helmet using the Internet of Things to lower the risk of accidents and deaths. The helmet has the following features: the bike will only start if the rider wears a helmet; if the rider is too drunk, the ignition will be turned off automatically; and if an accident happens, a GSM modem will send a message to the registered contact number using a SIM card.","PeriodicalId":502773,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"4 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141045295","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}