2022 IEEE Bombay Section Signature Conference (IBSSC)最新文献_第7页

An Online Dashboard Platform for Weather Data of Major Sri Lankan Cities, and Global Climate Trends 斯里兰卡主要城市的天气资料和全球气候趋势的在线仪表板平台

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037514

Sajeewa Pemasinghe, Dinuka Dayarathna, P. M. R A Panditharathna, Shanaka Saparamadu, J. Wickramarathne

引用次数: 0

Implementation of RFID-based Lab Inventory System 基于rfid的实验室库存系统的实现

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037518

Vishrut Chokshi, Mit K. Shah, Param Mehta, Malhar Vairale, Saurabh Mehta, K. Talele

{"title":"Implementation of RFID-based Lab Inventory System","authors":"Vishrut Chokshi, Mit K. Shah, Param Mehta, Malhar Vairale, Saurabh Mehta, K. Talele","doi":"10.1109/IBSSC56953.2022.10037518","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037518","url":null,"abstract":"Radio Frequency Identification (RFID) is one of the enabling technologies for IoT. RFID is a computerizing recognition process field that has steadily gained momentum in recent years. It is now being recognized as a technique to improve data handling processes, complementing other data capture technologies in many ways. Numerous devices and accompanying systems have been created to meet a wide range of applications. Given its effectiveness and affordability, short-range surveillance and monitoring can benefit greatly from RFID technology. This paper aims to show an example of how RFID technology can be used as an inventory management tool in university labs where a large number of equipment is a challenge that faculty have to face every day. The developed system allows students to virtually see which labs are present in the university and the equipment present in them. Secondly, they can apply for usage of a particular piece of equipment between a time slot, and it can be authenticated by that RFID tag present next to computerizing recognition process field that has been scanned before usage.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114246612","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

E-sewa app for self-employed women E-sewa应用程序为自雇女性

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037370

Slade Ferrao, Riona Dsouza, Sonal L Chaudhari, S. Shaikh

引用次数: 0

Statistical Data Analysis using GPT3: An Overview 使用GPT3进行统计数据分析:概述

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037383

Ashwin Sharma, Disha Devalia, Wilfred Almeida, Harshali P. Patil, A. Mishra

{"title":"Statistical Data Analysis using GPT3: An Overview","authors":"Ashwin Sharma, Disha Devalia, Wilfred Almeida, Harshali P. Patil, A. Mishra","doi":"10.1109/IBSSC56953.2022.10037383","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037383","url":null,"abstract":"Though automated statistics has started gaining some momentum in the field of data analysis, it is not unified and very slow with large datasets. Due to computing limitations or lack of specific domain knowledge, general statistics have been used most commonly. But now research advisors are attracted towards a machine learning-based approach for statistical analysis of Data Sets which may help bridge gaps between traditional approaches like correlation matrices, p-values, etc., and new models like GPT3. This paper proposes a novel approach for the analysis of large datasets which uses GPT3 to predict insights from calculated statistics of data. The research addresses the limitations of existing methods and proposes a novel framework to analyze large statistical data sets, which solves many computationally challenging problems in efficient ways. Our proposed method works on top of GPT3's features, where it learns to predict individual words from particular parts of the dataset you pass as prompts (cumulative sums/means etc.) enabling us to analyze extremely large datasets such as telecom churn or census data. A comparison of traditional methods, statistical analysis, and machine learning approaches with GPT3 will be made. Furthermore, a discussion on the pros and cons of using GPT3 for this research is also discussed from the point of view of performance, accuracy, and reliability concerns.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133297067","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

Feature Selection based False Data Detection Scheme using Machine Learning for Power System 基于特征选择的电力系统机器学习假数据检测方案

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037335

Deboleena Chakraborty, A. K. Verma, Satish Sharma, R. Bhakar

{"title":"Feature Selection based False Data Detection Scheme using Machine Learning for Power System","authors":"Deboleena Chakraborty, A. K. Verma, Satish Sharma, R. Bhakar","doi":"10.1109/IBSSC56953.2022.10037335","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037335","url":null,"abstract":"An electrical power grid is a conglomerate system that requires meticulous monitoring to ensure uninterrupted, secured and reliable grid operation by incorporating state estimation to ensure a better estimate of the power grid state through assessment of meter quantification. The state estimator operates on real-time inputs that are data and status information. Thereby, it becomes necessary to automatize and digitize the electric grid by enhancing the widespread installation of Remote Terminal (RTUs) and Phasor Measurement Units (PMUs) for improvising real-time wide-area system monitoring and control. However, the challenge of anomaly detection of the data obtained from the PMUs still exists as the PMUs data comprises different types of anomalies arising from both physical and cyber systems. This work proposes a machine learning-based scheme to detect the anomaly in the data. Principal Component Analysis algorithm is used as the feature selection algorithm to attain the important characteristics in the data and then a supervised classification algorithm is used to obtain the erroneous data in the PMU data streams.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132147841","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

Decentralized Ride Hailing System using Blockchain and IPFS 使用区块链和IPFS的分散式乘车系统

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037296

Om Naik, Nimai Patel, Sabir Ali Baba, Harshal Dalvi

{"title":"Decentralized Ride Hailing System using Blockchain and IPFS","authors":"Om Naik, Nimai Patel, Sabir Ali Baba, Harshal Dalvi","doi":"10.1109/IBSSC56953.2022.10037296","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037296","url":null,"abstract":"Ride-hailing applications like Uber and Ola have gained immense popularity in India and across the globe as convenient alternatives to traditional modes of travel such as private vehicles which can be unaffordable many times due to rising fuel prices and maintenance cost etc., buses and trains which are crowded; and taxis and auto rickshaws which can deny you service at the driver's whim. The advancement in internet technology and affordable smartphones have made it convenient to book a ride through our smartphones in just a few clicks. However, the service has also brought with it a slew of other challenges like unpredictable surge-pricing and high intermediary fees. The current research into decentralized systems for vehicles is accelerating rapidly. Even then, implementing a decentralized ride-hailing platform proves to be a difficult challenge due to the inherently centralized nature of traditional ride-hailing systems. Blockchain and other similar decentralized technologies are an attractive choice for this architecture due to their immutability, transparency and fault tolerance. If implemented successfully, decentralization using blockchain technology would remove roadblocks along the way such as intermediary fees and surge charges by third parties as it would offer more transparency. This paper proposes a framework for developing a decentralized ride-hailing architecture implemented on the InterPlanetary File System (IPFS) and Ethereum blockchain platform.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114182237","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: 1

MATLAB and Simulink for Building Automation MATLAB和Simulink用于楼宇自动化

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037485

Vaibhav Saini, Pritesh Shah, R. Aravind Sekhar

引用次数: 8

Forensic Techniques to Detect Hidden Data in Alternate Data Streams in NTFS 检测NTFS中备用数据流中隐藏数据的取证技术

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037507

Rahul Hermon, Upasna Singh, Bhupendra Singh

引用次数: 0

Genius - Brain Training Mobile Application for the Elderly 天才-大脑训练移动应用程序为老年人

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037433

Ayman Rummun, L. Nagowah

{"title":"Genius - Brain Training Mobile Application for the Elderly","authors":"Ayman Rummun, L. Nagowah","doi":"10.1109/IBSSC56953.2022.10037433","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037433","url":null,"abstract":"In 2020, there were 234 thousand or so people in Mauritius who were over 60. From 36 thousand in 1971 to 234 thousand in 2020, this age group has increased significantly. Mauritius is at the forefront of Africa in proactively recognizing aging as a serious problem for the wellbeing and competitiveness of its society and economy. Alzheimer's disease and dementia are two age-related illnesses that are becoming more common in older people, posing a frightening challenge not just for those who have them but also for their family and caregivers. It is therefore crucial to participate in activities that maintain a healthy and active neurological system because as we age, the nerves in our brains tend to deteriorate. The primary aim of this paper is hence to create a mobile serious game, Genius that can help to maintain the cognitive abilities of the elderly people. Genius consists of several games aiming at improving the memory, attention, problem-solving, speed, concentration, reflex, communication and language skills of the user. This mobile application can be used by elders in retirement homes initially under the supervision of a healthcare assistant or by independent elders. Genius has been tested in a Non-Governmental Organization based in Mauritius and has been appreciated by the users including the caregivers. We anticipate that the use of the mobile serious game Genius will be very beneficial for the aging population of Mauritius and can eventually help in reducing the risks of dementia.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130136673","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

Predicting chronic diseases using clinical notes and fine-tuned transformers 利用临床记录和微调变压器预测慢性病

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037512

Swati Saigaonkar, Dr. Vaibhav Eknath Narawade

引用次数: 0