International Journal of Advanced Research in Science, Communication and Technology最新文献_第2页

Artificial Intelligence in Electronics and Communication 电子和通信领域的人工智能

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18310

Vishala I L, Adlin Ananya V

引用次数: 0

Experimental Investigation of Effect of Orifice Diameter on Volumetric Efficiency of Two-Stage Reciprocating Air Compressor 孔径对双级往复式空气压缩机容积效率影响的实验研究

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18309

Satpute Manoj B.

引用次数: 0

Virtual and Remote Robotic Laboratory 虚拟和远程机器人实验室

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18314

Vishala I L, Chandana S

{"title":"Virtual and Remote Robotic Laboratory","authors":"Vishala I L, Chandana S","doi":"10.48175/ijarsct-18314","DOIUrl":"https://doi.org/10.48175/ijarsct-18314","url":null,"abstract":"The Virtual Remote Robotic Laboratory (VRRL) represents a paradigm shift in scientific experimentation, offering researchers unprecedented access to remote laboratory facilities and robotic systems. This paper explores the design, implementation, and benefits of VRRL systems in enhancing access and collaboration in scientific research. VRRL leverages cloud computing, IoT technologies, and advanced user interfaces to enable researchers to remotely control and interact with robotic systems and laboratory equipment from anywhere with an internet connection. Through intuitive user interfaces, researchers can seamlessly navigate virtual environments, manipulate robots, monitor experiments in real- time, and analyze data, all without physical presence in the laboratory. Key features of VRRL include robust security protocols to protect sensitive data, flexible experimentation capabilities to accommodate diverse research needs, and collaboration tools to facilitate knowledge sharing and teamwork among researchers worldwide. By breaking geographical barriers and providing on-demand access to laboratory resources, VRRL empowers researchers to conduct experiments more efficiently, accelerate scientific discovery, and foster interdisciplinary collaboration","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140963466","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

Preparation and Evaluation of Herbal Oil 草药油的制备和评估

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18303

Mr. Sharad T. Nikam, Ms. Sanika S. Chaulkar, Mr. Surayawanshi H. T

{"title":"Preparation and Evaluation of Herbal Oil","authors":"Mr. Sharad T. Nikam, Ms. Sanika S. Chaulkar, Mr. Surayawanshi H. T","doi":"10.48175/ijarsct-18303","DOIUrl":"https://doi.org/10.48175/ijarsct-18303","url":null,"abstract":"Herbal formulations always have lesser or no side effects comparatively with synthetic. The aim of present study involves preparation of herbal hair oil using the herbal ingredients like., Amla, Hibiscus, Bhringraj, Jatamansi, Raw garlic, Muskmelon seeds, Moringa, Curry leaves, Guava leaves, Papaya leaves, Methi, Mimosa Pudica and Spring onion. Based on the above observations, mixture of crude drugs was prepared in the form of herbal hair oil by boiling method. We have used five formulas using different herbal drugs and all the formulation are showing anti-hairfall property with someof other beneficial activities like anti-dandruff activity, improves blood circulation to the scalp and roots, reduce hair pigmentation, anti-fungal activity, reducing the whitening of the hair. The formulate dherbal oil was evaluated by using various parameters such as Organoleptic properties, specific gravity, stability, viscosity, Acid value, pH etc. and the value obtained from it are found to be similar to that of the standard values like there is no sedimentation, no grittiness and shows satisfying organoleptic properties and the results were determined and are reported in this work. The goal of the present study is herbal have the effective formulation for the hair care or in hair treatment","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"8 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140962722","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

Agent Based Intrusion Detection System 基于代理的入侵检测系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18286

Prof. Nisha Chaube, Onkar Kodape, Prajwal Kulkarni, Sahil Patil, Shrishail Dhole

{"title":"Agent Based Intrusion Detection System","authors":"Prof. Nisha Chaube, Onkar Kodape, Prajwal Kulkarni, Sahil Patil, Shrishail Dhole","doi":"10.48175/ijarsct-18286","DOIUrl":"https://doi.org/10.48175/ijarsct-18286","url":null,"abstract":"With the growing complexity and sophistication of cyber threats, network security has become a vital aspect of any organization’s cyber security efforts. Among the critical solutions, effective monitoring and analysis tools(So-In, 2009) play an invaluable role. ABIDS provides a versatile platform for real-time monitoring, alerting, and visualization of the network infrastructure. This paper attempts to demonstrate how ABIDS can serve as a basis for improved network security. Furthermore, I elaborate on ABIDS’ features and abilities that make it a good choice for this purpose, such as the ability to collect the data in various ways, its compatibility with multiple protocols and devices, and its flexible alerting system. We also outline practical use-cases for ABIDS in cybersecurity operations(Ou et al., 2011), including practice recommendations on proactive threat hunting, the identification of anomalies, and timely incident responses. By incorporating ABIDS with traditional security infrastructures and solutions, organizations will be able to set up smoother and more insightful security monitoring habitats. Case studies and focused examples explain how ABIDS can help organizations enhance defence, manage risk and protect core assets against persistent cyber adversaries with adaptive capabilities(Tahri et al., 2022). We also discuss some of the deployment techniques and practices to deploy ABIDS in security-intensive environments, including the ability to scale, performance, and resource requirements. In conclusion, this paper is of the opinion that ABIDS should be strategically adopted and integrated into modern cybersecurity methods and approaches as a foundational resultant. Using ABIDS as a tool for security monitoring and analysis would strengthen the organization’s defences agains6t potential cyber-attacks while ensuring the availability and integrity of their network infrastructure.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140965175","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

Heart Attack Prediction using CNN 利用 CNN 预测心脏病发作

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18318

Jithina Jose, Pavan Mishra, Jay Bansod, Twinkle Pingat, Paramanand Malvadkar

{"title":"Heart Attack Prediction using CNN","authors":"Jithina Jose, Pavan Mishra, Jay Bansod, Twinkle Pingat, Paramanand Malvadkar","doi":"10.48175/ijarsct-18318","DOIUrl":"https://doi.org/10.48175/ijarsct-18318","url":null,"abstract":"The study represents a significant advancement in cardiovascular disease detection by employing deep learning techniques, particularly focusing on Electrocardiogram (ECG) data analysis. By utilizing transfer learning with pretrained deep neural networks like SqueezeNet and AlexNet, alongside a novel convolutional neural network (CNN) architecture tailored for cardiac abnormality prediction, the researchers demonstrated remarkable accuracy in identifying four major cardiac conditions. This approach not only capitalizes on the strengths of deep learning but also addresses the challenges posed by limited medical datasets, showcasing the potential of artificial intelligence in revolutionizing healthcare diagnostics.\u0000The results are highly promising, with the proposed CNN model outperforming previous methods, achieving exceptional accuracy, recall, precision, and F1 score. Furthermore, employing the CNN model for feature extraction in tandem with traditional machine learning algorithms highlights its versatility and potential for integration into clinical practice. Overall, this study underscores the pivotal role of deep learning in early detection and classification of cardiovascular diseases, offering healthcare professionals a powerful tool to improve patient outcomes and save lives","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"56 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140965740","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

An Overview On: Exam Ease with Online Exam Portal 概述：在线考试门户让考试更轻松

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18302

Prof. Atul Akotkar, Vishwajit Sarkar, Pranay Mahule, Kunal Chakole, Gaurav Hajare, Priyanka Siram

引用次数: 0

IOT Based Wastewater Management in Smart Cities 智慧城市中基于物联网的废水管理

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-17 DOI: 10.48175/ijarsct-18313

Dr. Shwetha V, Keerthana S

{"title":"IOT Based Wastewater Management in Smart Cities","authors":"Dr. Shwetha V, Keerthana S","doi":"10.48175/ijarsct-18313","DOIUrl":"https://doi.org/10.48175/ijarsct-18313","url":null,"abstract":"The process of extracting and refining contaminants from drainage or wastewater so they can be recycled back into the water supply with the least amount of negative environmental impact is known as wastewater management. The current declining environmental condition necessitates the development of new strategies and tactics to guarantee safe and intelligent wastewater management systems in smart cities. The Internet of Things (IoT) and wireless sensor networks are potential technologies for treating wastewater. The comprehensive literature review develops a conceptual framework utilizing blockchain technology for an Internet of Things (IoT)- based wastewater management system in smart cities (IoT- WMS). Information is now being stored using blockchain technology to create an incentive scheme that promotes the reuse of waste water. In smart cities, tokens related to the quantity and quality of recovered wastewater are distributed to homes and businesses. However, this frequently promotes manipulating the data used to award these tokens in order to incorporate particular benefits. To determine whether there is evidence of altered IoT sensor data, anomaly detector techniques are employed. In order to facilitate the most efficient distribution of water depending on user usage at the plot holding level, this study suggests a water distribution and integrated management system based on the Internet of Things (IoT) and data analytics (DA). In addition to preventing water waste, the suggested approach would assist in gathering consumption statistics for macro-level research and town planning","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"48 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140965839","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

A Review on Fast Dissolving Tablet 速溶片剂综述

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-16 DOI: 10.48175/ijarsct-18280

VS. Ughde, S. Deshmane, K. Biyani

引用次数: 31

Face Recognition Attendance Monitoring System 人脸识别考勤监控系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-16 DOI: 10.48175/ijarsct-18281

Yash Ghorpade, Harshal Thakare, Siddesh Sonawane, Anan Dedhia, Prof. Shubhra Mukherjee Mathur

{"title":"Face Recognition Attendance Monitoring System","authors":"Yash Ghorpade, Harshal Thakare, Siddesh Sonawane, Anan Dedhia, Prof. Shubhra Mukherjee Mathur","doi":"10.48175/ijarsct-18281","DOIUrl":"https://doi.org/10.48175/ijarsct-18281","url":null,"abstract":"The Face Recognition Attendance Management System is a cutting-edge technology solution designed to streamline and enhance the attendance tracking process in various institutions and organizations. This project report provides a concise overview of the system's key features, development process, and its potential impact on attendance management. In a rapidly evolving technological landscape, traditional attendance systems are often inefficient and prone to errors. The Face Recognition Attendance Management System addresses these issues by leveraging state-of-the-art facial recognition technology. This system automates attendance tracking, ensuring accuracy and efficiency while reducing the administrative burden on staff. Key features of the system include facial data capture and storage, real-time face recognition, attendance record generation, and user-friendly interfaces for both administrators and end-users. The project also encompasses the development of a mobile application, enabling users to access their attendance records conveniently. The development process involved the integration of facial recognition algorithms, database management, and user interface design. Additionally, privacy and security considerations were a top priority, with safeguards in place to protect the stored facial data. This report outlines the benefits of the Face Recognition Attendance Management System, such as reduced administrative workload, improved accuracy, and real-time monitoring of attendance. It also discusses potential challenges, including hardware and software requirements, scalability, and user acceptance. In conclusion, the Face Recognition Attendance Management System is a powerful tool for institutions and organizations seeking to modernize their attendance tracking processes. It represents a step forward in leveraging cutting-edge technology to enhance efficiency and accuracy in attendance management","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"54 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140970537","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