International Journal of Advanced Research in Science, Communication and Technology最新文献_第10页

Job Portal 招聘门户网站

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18189

G Ramarao, P Anjaniuma, E Supriya, Md Abdulrahman, Ch Chakradhar, K Karthik

{"title":"Job Portal","authors":"G Ramarao, P Anjaniuma, E Supriya, Md Abdulrahman, Ch Chakradhar, K Karthik","doi":"10.48175/ijarsct-18189","DOIUrl":"https://doi.org/10.48175/ijarsct-18189","url":null,"abstract":"In the current scenario, there is a rat race in each and every professional field. It is also true for job market. A job portal is a website dedicated for online information about recruiters as well as job seekers. A job portal helps both the job seekers and recruiters finding the right organization for the employees. In the case of job seekers, according to their educational qualification, experience and their preferences, the job portal shows the list of companies to the job seeker. And, to the recruiters, provides the suitable candidates from a pool of lacks. So, a job portal is the perfect online arena, where both the job seekers and the employers find their goal in the pursuit of getting a top notch company for the suitable candidates. The web application “Job Portal” provides an easy and convenient search application for the job seekers to find their desired jobs and for the recruiters to find the right candidate. Job seekers from any background can search for the current job openings. Job seekers can register with the application and update their details and skill set. They can search for available jobs and apply to their desired positions.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 394","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989994","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}

引用次数: 0

Body Part Implant Dashboard for Real-Time Monitoring and Reporting 用于实时监控和报告的身体部位植入仪表板

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18184

Riddhi Gadewar, Pranjal Patil, Sakshi Dhakade, Gaurinandan Joshi, S. N. Khandare

{"title":"Body Part Implant Dashboard for Real-Time Monitoring and Reporting","authors":"Riddhi Gadewar, Pranjal Patil, Sakshi Dhakade, Gaurinandan Joshi, S. N. Khandare","doi":"10.48175/ijarsct-18184","DOIUrl":"https://doi.org/10.48175/ijarsct-18184","url":null,"abstract":"Our innovative platform is revolutionizing the field of medical implants, harnessing the power of 3D printing to deliver unparalleled levels of customization, accuracy, and accessibility. It functions as an all-in-one online ecosystem that simplifies the process of obtaining custom 3D-printed implants for patients and healthcare providers. At its core, the platform features a user-friendly interface, allowing users to explore a diverse selection of medical implants tailored to individual needs, including orthopedic devices and dental prosthetics. The ordering process is straightforward—users can select implant specifications, upload medical data, and place orders through a secure payment gateway for safe transactions. The platform’s integrated tracking system provides real-time updates, allowing users to monitor the progress of their orders from production to delivery. Healthcare professionals’ benefit from a dedicated portal where they can submit custom designs, track orders, and communicate with experts. The platform also offers comprehensive customer support and post-implantation care resources to ensure a seamless experience. By embracing 3D printing technology, our platform is transforming healthcare delivery, paving the way for personalized medicine, and reshaping the future of medical implants. Join us in this journey towards a more accessible and patient-focused healthcare system","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988570","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}

引用次数: 0

Enhancing Brain Tumor Classification: A CNN-Based Approach with InceptionV3 and Xception 增强脑肿瘤分类：使用 InceptionV3 和 Xception 的基于 CNN 的方法

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18174

Gawali Bhakti Shankar, Prof. V. S. Dhongade

引用次数: 0

Machine Learning Approaches for ADHD Detection 检测多动症的机器学习方法

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18199

Varun V Khasnis, Varun K, Prasanna Kumar S Shivaraddi, Prabhu M, Poojari Pavan Kumar

引用次数: 0

Real Time Accident Detection and Ambulance Rescue using Deep-Learning 利用深度学习进行实时事故检测和救护车救援

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18188

Dr. P. U. Anitha, M. Akshay Kumar, T. Srinivas, M. Rakesh, M. Kalpana, K. Sushmitha

引用次数: 0

IoT Security Challenges and Solutions for Data at Rest: A Systematic Literature Review 静态数据的物联网安全挑战与解决方案：系统性文献综述

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18175

Chisomo Tolani, Dr. Jyoti Pareek

{"title":"IoT Security Challenges and Solutions for Data at Rest: A Systematic Literature Review","authors":"Chisomo Tolani, Dr. Jyoti Pareek","doi":"10.48175/ijarsct-18175","DOIUrl":"https://doi.org/10.48175/ijarsct-18175","url":null,"abstract":"The rapid expansion of the Internet of Things (IoT) has significantly transformed both consumer and industrial domains, driving the urgent need for robust security measures to protect data at rest. SLR investigates into the challenges associated with securing IoT devices and data, exploring the limitations of existing security frameworks and the intricate requirements imposed by global data protection regulations such as GDPR. The researcher review current approaches, including privacy-by-design principles and the deployment of symmetrical data protection frameworks, as highlighted in recent studies. Through a comprehensive analysis of literature and existing technologies, we identify critical gaps in the protection strategies and propose enhanced methods for ensuring data security and privacy in IoT systems. The findings emphasize the role of developers in integrating privacy considerations early in the development process and the impact of regulatory complexities on the practical implementation of data protection measures. Furthermore, the paper evaluates innovative security solutions, such as full stack security architectures and adversarial training models, assessing their effectiveness in real-world applications. This study aims to provide a deeper understanding of the IoT security landscape and to suggest actionable strategies for improving data protection practices across the IoT ecosystem","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 361","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989747","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}

引用次数: 0

Automatic Classification of Cervical Cells Using Deep Learning Methods 利用深度学习方法对宫颈细胞进行自动分类

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18198

Sahana Reddy S, Parvathi B, Preeti Lokare, D V Swetha Ramana

{"title":"Automatic Classification of Cervical Cells Using Deep Learning Methods","authors":"Sahana Reddy S, Parvathi B, Preeti Lokare, D V Swetha Ramana","doi":"10.48175/ijarsct-18198","DOIUrl":"https://doi.org/10.48175/ijarsct-18198","url":null,"abstract":"Cervical cancer, second only to breast cancer, is one of the cancers leading to cause death among women. Cervical cancer is a cancer that forms in the cells of the cervix, which is the lower section of the uterus that connects the uterus to the pelvis to the vaginal area. Various forms of the papilloma virus (HPV), a sexually transmitted infection that plays a role in cervical cancer and plays a critical part in most cases. The risk of cervical cancer developing can be reduced by undergoing screenings and receiving a vaccination that protects against HPV infection Cancer prevention is important. Most of the time, this is accomplished by checking the transformation zones. Cervical pre-cancerous stages can be observed in three different types, and all can transfigure into cancer. As a result, it's crucial to screen cervical anomalies sensibly and have a reliable process to determine if a cervix is normal (healthy) or pre-cancerous. Presently, the test being carried is a Pap smear test, commonly referred as a Pap test, which is a cervical screening procedure. It examines the cervix for the presence of pre - cancerous or cancerous cells. At present times deep learning is becoming more important alternative for cancer screening. A cervical cancer detection and classification system based on CNN has been proposed. Deep-learned features are acquired using the CNNs mode","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988265","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}

引用次数: 0

Hostel Management System using Java 使用 Java 的宿舍管理系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18170

A. V. Vamshikrishna, Krishitha, B Pallavi, P Poojitha, K Madan, K Chaitanya

{"title":"Hostel Management System using Java","authors":"A. V. Vamshikrishna, Krishitha, B Pallavi, P Poojitha, K Madan, K Chaitanya","doi":"10.48175/ijarsct-18170","DOIUrl":"https://doi.org/10.48175/ijarsct-18170","url":null,"abstract":"Hostel management system is a project for managing various activities in the hostel. For the past few years, the numbers of educational institutions are increasing rapidly. There by the numbers of hostels are also increasing for the accommodation of the students studying in this institution. And hence there is a lot of strain on the person who are running the hostel and software are not usually used in this context. This particular project deals with the problems on managing the hostel and avoids the problems which occur when carried manually. Identification of the drawbacks of leads to the designing of computerized system that will be compatible to the existing system with the system which is more user friendly. We can improve the efficiency of the system. Hostel Management System targeted for the college hostel integrates the transaction management of the hostel for better control and timely response. This eliminates time day and paper transactions being marked. The admin is provided with a better control over the transactions like adding the details of new students in the hostel, modifying the details of the students, deleting the students, viewing the students details in the Hostel. This Project’s main motto is to reduce the effect of admin and provide better service to the students. The goal of this project is to develop a system for the computerization of the Hostel. The common transactions of the hostel include the maintenance of mess bills, information about students in the hostel, enrolling of new students and their payments and dues etc are stored into the databases and reports are generated according to the user requirements","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"113 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140987888","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}

引用次数: 0

Deep Learning-Based De-blurring/Denoising of Indian Heritage Images 基于深度学习的印度遗产图像去模糊/去噪技术

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18182

Mr. Tejas Lambat, Mr. Shreyash Ukey, Mr. Pranav Wagh, Mr. Sanket Tekam, Mr. Snehal Raipure, Mr. Ravindra Kale

{"title":"Deep Learning-Based De-blurring/Denoising of Indian Heritage Images","authors":"Mr. Tejas Lambat, Mr. Shreyash Ukey, Mr. Pranav Wagh, Mr. Sanket Tekam, Mr. Snehal Raipure, Mr. Ravindra Kale","doi":"10.48175/ijarsct-18182","DOIUrl":"https://doi.org/10.48175/ijarsct-18182","url":null,"abstract":"Using the deep learning algorithms, our method comes up with the process that impedes the conservation and restores the Indian heritage images, while dealing with the obstacles like blur, noise, and obscurity of the images. In this case, neural networks that are developed themselves are used to carry out the process of denoising and reconstruction of these images but also contain intricate object detection capabilities. These multi-faceted actions, therefore, help to preserve the historically relevant aspects and make the Indian cultural heritage more colorful and accessible to the outside world.\u0000In addition, not only are we protecting them but we are also transforming them into the best images that represent India's past. Through application of deep learning principles to indigenous materials, we come up with powerful educational tools that make a deep impact in the community, promoting a profound appreciation for India's cultural heritage. By means of careful experimentation and stringent testing, we establish that the specified methodology is indeed workable in conservation applications as it has been shown to be effective. This way, we make it clear that the cultural heritage of India is not only treasures of the ancient time but the living legacy, which is welcoming for everyone and contributes to the cultural diversity and pride.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988559","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}

引用次数: 0

AC PWM Control System in Induction Motor using Microcontroller 使用微控制器的感应电机交流 PWM 控制系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-11 DOI: 10.48175/ijarsct-18196

Aayush Bahade, Ashish Khonde, Suraj Charduke, Saurabh Wele, Prof. Suyog. S. Dhoke

{"title":"AC PWM Control System in Induction Motor using Microcontroller","authors":"Aayush Bahade, Ashish Khonde, Suraj Charduke, Saurabh Wele, Prof. Suyog. S. Dhoke","doi":"10.48175/ijarsct-18196","DOIUrl":"https://doi.org/10.48175/ijarsct-18196","url":null,"abstract":"The demand for efficient and precise control of induction motors has led to the development of advanced control systems, among which AC PWM (Pulse Width Modulation) stands out as a prominent technique. This project focuses on the design and implementation of an AC PWM control system for an induction motor utilizing a microcontroller. The system employs a microcontroller to generate PWM signals, controlling the power electronics responsible for modulating the voltage supplied to the motor. The report details the architecture, components, and methodology employed in the project. A comprehensive discussion on the PWM control algorithm, motor drive circuitry, and sensor integration is presented. The microcontroller programming and experimental results showcase the effectiveness of the proposed system in achieving precise control over motor speed and efficiency. The challenges faced during the project are discussed, along with the corresponding solutions implemented. The report concludes with a summary of achievements and suggestions for future enhancements. Overall, this project contributes to the field of motor control systems, offering a reliable and efficient solution for induction motor control through AC PWM with microcontroller integration","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"115 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140987841","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}

引用次数: 0