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

Virtual Digital Metaverse Healthcare Assistant 虚拟数字元宇宙医疗助理

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18443

Prof. P. T. Shitole, Om Chogule, Geetanjali Jadhav, Sakshi Lad, Pratik Gurav

{"title":"Virtual Digital Metaverse Healthcare Assistant","authors":"Prof. P. T. Shitole, Om Chogule, Geetanjali Jadhav, Sakshi Lad, Pratik Gurav","doi":"10.48175/ijarsct-18443","DOIUrl":"https://doi.org/10.48175/ijarsct-18443","url":null,"abstract":"The healthcare industry has grown more quickly as a result of the quick advancements in automation and digitization. These developments have produced innovative models that open up new avenues for providing treatment at a lower cost. A new digital technology called the Metaverse has enormous promise for the healthcare industry by giving patients and medical professionals realistic experiences. The Metaverse is an intersection of many enabling technologies, including robotics, quantum computing, internet of medical devices, augmented reality, virtual reality, and artificial intelligence, that allow new avenues to be explored for delivering high-quality healthcare services and treatments The integration of these technologies guarantees patient care that is immersive, individualized, and intimate. Additionally, it offers sophisticated, adaptable solutions that break down boundaries between healthcare practitioners and recipients. A thorough analysis of the Metaverse for healthcare is given in this article, with special attention to the state of the art, technologies that make it possible to use the Metaverse for healthcare, possible uses, and associated initiatives. Future research areas should address these concerns as well as highlight potential solutions for adapting the Metaverse for healthcare applications","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"16 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106672","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

Easy and Secure Hostel Hub 便捷安全的旅舍枢纽

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18442

Mrs. Anita S Patil, Abhilasha, Akshata Maruti, Anusha, J Yashaswini

引用次数: 0

CFD Analysis of Drone Blade 无人机叶片的 CFD 分析

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18433

Rajendra Ghatode, Nitanshu Modekar, Harsh Bode, Siddharrh Lakhwani

引用次数: 0

Electric Motor by using Machine Learning. 利用机器学习的电动马达

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18430

Mahadev L. Naik, Arsh Aslam Boat, Rahul Sanjay Gurav, Madhura Mukund Kale, Parvez Makbul Kapade

{"title":"Electric Motor by using Machine Learning.","authors":"Mahadev L. Naik, Arsh Aslam Boat, Rahul Sanjay Gurav, Madhura Mukund Kale, Parvez Makbul Kapade","doi":"10.48175/ijarsct-18430","DOIUrl":"https://doi.org/10.48175/ijarsct-18430","url":null,"abstract":"This research paper addresses the crucial issue of early bearing failure within electric motors, a common problem impacting industrial operations. It begins with a thorough problem identification and historical study of asset failures to pinpoint strategic sensor placement on the motor casing, specifically targeting the bearing area. Time series data acquisition captures the dynamic motor behavior, with LabVIEW software facilitating visualization through frequency plots and spectral graphs. Subsequent preprocessing involves modifying data structure and computing vibration metrics like RRMS and IRRMS to quantify vibration levels. The processing stage consists of condition monitoring using structured supervised datasets transformed into the frequency domain in MATLAB. Interpretation of results enables bearing health assessment and identification of dominant frequency components. Additionally, the remaining useful life of the bearing is estimated using the Support Vector Classifier algorithm, supplemented by RRMS and IRRMS to enhance prediction accuracy. A machine learning model, developed in Python and trained on bearing datasets, predicts the remaining useful life based on sensor-collected data. This comprehensive methodology aims to provide insights into bearing health, facilitating proactive maintenance and optimizing industrial operations","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"12 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106740","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

ML Assisted Foot Step Power Generation using Piezoelectric Sensors 使用压电传感器进行 ML 辅助脚步发电

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18441

Lavanya Lenka, Meghana H C, Raninagaveni D S, B Keerthi, Rekha B N

{"title":"ML Assisted Foot Step Power Generation using Piezoelectric Sensors","authors":"Lavanya Lenka, Meghana H C, Raninagaveni D S, B Keerthi, Rekha B N","doi":"10.48175/ijarsct-18441","DOIUrl":"https://doi.org/10.48175/ijarsct-18441","url":null,"abstract":"In our rapidly evolving world, the escalating demand for energy coupled with the finite nature of traditional resources underscores the imperative for sustainable, pollution-free, and inexhaustible energy solutions. This paper introduces a pioneering approach to harnessing the kinetic energy expended during human locomotion through the innovative use of piezoelectric sensors. Leveraging the piezoelectric effect, these sensors efficiently convert mechanical energy generated by footstep pressure into electrical energy, thereby mitigating wastage and addressing the increasing energy needs. Our model advocates for the deployment of an extensive sensor network along footpaths, complemented by an RFID-based mobile charging system for enhanced convenience and functionality. Moreover, we introduce an innovative method integrating Machine Learning (ML) techniques to enhance power generation efficiency through intelligent modulation of piezoelectric element resistance. Additionally, we leverage ML algorithms to enhance the requisite daily footstep count necessary to fulfill the energy demands of specific areas. This proactive approach ensures optimal deployment of footstep power generation devices based on actual foot traffic patterns. Our research underscores the significance of this technology in the context of urban energy sustainability, particularly in densely populated regions like China and India, where foot traffic is abundant. By harnessing mechanical energy and leveraging advanced ML algorithms, our approach promises to revolutionize energy harvesting paradigms, paving the way for greener and more efficient power generation systems","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"20 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141105100","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

Greenhouse Monitoring using ESP 8266 使用 ESP 8266 进行温室监测

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18445

Innocencia Chiyanjano Zuze, Mr Pempho Jimu

引用次数: 0

Market Driven Crop Price Prediction 市场驱动的作物价格预测

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18447

Lahari V, Manjunath V2, Pooja N, Ms. Rekha B N

引用次数: 0

SMS Spam Detection using Machine Learning 利用机器学习检测垃圾短信

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18436

Phanirama Prasad, G Shivaraj, J M Renuka, Janardan Kulkarni, H Aishwarya

{"title":"SMS Spam Detection using Machine Learning","authors":"Phanirama Prasad, G Shivaraj, J M Renuka, Janardan Kulkarni, H Aishwarya","doi":"10.48175/ijarsct-18436","DOIUrl":"https://doi.org/10.48175/ijarsct-18436","url":null,"abstract":"Emails are a crucial instrument for achieving the interconnectedness of machines and people worldwide in the global age we live in, when the world is becoming smaller and smaller and everyone is connected to one another. Since the development of communication technology and the exponential increase in internet usage in recent years, emails have become an integral part of our everyday lives. It has also, regrettably, led to the emergence of numerous online scams that employ phishing tactics to trick people into disclosing their personal information. These scams can result in serious financial theft, identity theft, character assassination, and other malicious activities that could have dire repercussions for internet users. Addressing the problem of spam and phishing emails becomes crucial as a result of these problems. Therefore, this project is about detecting phishing and spam e-mails using Natural Language Processing (NLP) techniques. Let's explore methods to identify malicious emails using NLP. This assists in detecting and classifying potentially harmful and spam emails, ultimately preventing harm to user data. This project involves exploration of how different methods are implemented to detect the spam e-mails and the work being done to improve upon the current and possible future scenarios because as the scammers keep evolving and we need to develop and rise up accordingly","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"114 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141105946","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

Hazard Identification and Risk Analysis of Liquid Effluent Treatment Plant Apply in Chemical Process Industry 应用于化工工艺行业的液体废水处理厂的危害识别和风险分析

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18435

Mr Pravin Tathod, Mr. Nitesh Ramteke

{"title":"Hazard Identification and Risk Analysis of Liquid Effluent Treatment Plant Apply in Chemical Process Industry","authors":"Mr Pravin Tathod, Mr. Nitesh Ramteke","doi":"10.48175/ijarsct-18435","DOIUrl":"https://doi.org/10.48175/ijarsct-18435","url":null,"abstract":"The chemical process industry is one of the categories of highly polluting industries and generates strong wastewater of high COD along with hazardous waste which requires effective treatment and disposal/reuse of effluents. In this review, the various sources of wastewaters in the chemical industry are identiﬁed and the best available technologies to remove them are critically evaluated. The aim of the present research work was to determine the behavior of various parameters of the chemical wastewater. During the entire study evaluate, monitor, and check various environmental parameters whether they are complying with a given standard or not given by regulatory authority at chemical Industry,. The India based industry produced bulk drugs, fatty acids, fatty alcohol, food additives, personal care products, and others. The monitoring data of the effluent treatment plant will give information on the pollution control by the company and the management of waste. Overall analysis showed that there is no significant difference in pH, BOD, COD, and ammoniacal Nitrogen. The use of conventional treatment methods along with membrane reactors and advanced post-treatment methods resulting in a Coagulation wastewater treatment technology appears to be the best","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"115 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141105828","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

Review of Antidiabetic Gummies Formulation using Herbal Drugs: Efficacy, Formulation Techniques, and Future Prospects 使用草药配制抗糖尿病软糖的综述：药效、配制技术和未来展望

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-23 DOI: 10.48175/ijarsct-18431

Dikshita Rajendra Dengane, Anuja Rajendra Vishwasrao, Miss. Shraddha Khaladkar

{"title":"Review of Antidiabetic Gummies Formulation using Herbal Drugs: Efficacy, Formulation Techniques, and Future Prospects","authors":"Dikshita Rajendra Dengane, Anuja Rajendra Vishwasrao, Miss. Shraddha Khaladkar","doi":"10.48175/ijarsct-18431","DOIUrl":"https://doi.org/10.48175/ijarsct-18431","url":null,"abstract":"Antidiabetic gummies formulated with herbal drugs have emerged as a promising alternative for managing diabetes mellitus. This review comprehensively evaluates the efficacy, formulation techniques, and future prospects of such formulations. Herbal drugs possess inherent bioactive compounds with antidiabetic properties, offering a natural approach to glycemic control. Various studies have demonstrated the effectiveness of herbal extracts, such as bitter melon, fenugreek, and cinnamon, in lowering blood glucose levels. Formulation techniques, including solvent extraction, encapsulation, and incorporation into gummy matrices, are pivotal in preserving the bioactivity of herbal compounds and enhancing their stability. \u0000Moreover, the incorporation of natural sweeteners and flavoring agents enhances palatability and consumer acceptance. Despite promising advancements, challenges persist in standardizing herbal extracts, ensuring batch-to-batch consistency, and addressing regulatory concerns. Additionally, future prospects lie in the exploration of novel herbal sources, synergistic formulations, and controlled-release strategies to optimize therapeutic outcomes. Overall, antidiabetic gummies formulated with herbal drugs offer a convenient, palatable, and potentially effective approach for diabetes management, warranting further research and development in this burgeoning field","PeriodicalId":472960,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"11 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141106810","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