2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)最新文献_第4页

A Review on Metaverse and Immersive Technologies 虚拟世界与沉浸式技术综述

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073666

Lav Soni, Amanpreet Kaur, Avinash Sharma

引用次数: 1

Improved Performance of Canny Edge Detection in Low-Light Conditions 低光条件下Canny边缘检测性能的改进

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073915

Pradeep Surya Dadi, S. G, Tamilvizhi T, Leema Nelson, S. R

引用次数: 0

A Systematic Review of the Soil Fertility Monitoring and Organic Farming Techniques for an Improved Crop Yield 土壤肥力监测与有机耕作技术提高作物产量的系统综述

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073868

S. Gaikar, M. Zambare, A. Shaligram

引用次数: 0

Computation of Electric Field Distribution on 110 kV Polymer Insulator for Different Corona Ring Position 110 kV聚合物绝缘子不同电晕环位置电场分布计算

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073745

T. Sukumar, B. Vigneshwaran

引用次数: 0

Post-Pandemic Air Quality Monitoring System using Internet of Things (IoT) 基于物联网的大流行后空气质量监测系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073718

A. Murdan, Mattee Ur-Rehman Jeetun

{"title":"Post-Pandemic Air Quality Monitoring System using Internet of Things (IoT)","authors":"A. Murdan, Mattee Ur-Rehman Jeetun","doi":"10.1109/ICAIS56108.2023.10073718","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073718","url":null,"abstract":"Air pollution has increased immensely due to urbanization, a rise in number of vehicles and population which has eventually led to affecting the human health. This article presents the design, implementation and testing of an air pollution detection and monitoring system that can be easily installed in houses, workshops, or offices. An Arduino Mega Development Board along with gas sensors, LCD screen and a Wi-Fi module were used. The system uploaded data on the online Internet of Things (IoT) platform in real time. A humidity sensor, temperature sensor, air quality sensor and carbon monoxide sensor were integrated in the system. The observed parameters from the sensors were displayed on an LCD screen. In case the air quality became toxic, an email an SMS alerting system was also implemented. Furthermore, the system was connected to an intelligent conversation interface on a cloud server. A website was also built to facilitate users to connect to the system and get data from the sensors in real time. Several tests were carried out in different environments, and results were conclusive.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129310060","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

IoT based Performance and Power Monitoring System for Autolooms 基于物联网的汽车房间性能和电源监控系统

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073893

M. N, S. L, Sharanya T, Shedhu M

引用次数: 0

Advanced Data Mining Enabled Robust Sentiment Analysis on E-Commerce Product Reviews and Recommendation Model 基于高级数据挖掘的电子商务产品评论和推荐模型的鲁棒情感分析

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073782

B. Shanthini, N. Subalakshmi

{"title":"Advanced Data Mining Enabled Robust Sentiment Analysis on E-Commerce Product Reviews and Recommendation Model","authors":"B. Shanthini, N. Subalakshmi","doi":"10.1109/ICAIS56108.2023.10073782","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073782","url":null,"abstract":"Currently, digital review plays a crucial role in influencing consumer buying patterns and improving global communications amongst consumers. E-commerce giants such as Flipkart, Amazon, and so on, provide real insights about the performance of the product to future buyers and provide a platform for the consumer for sharing their experiences. In order to extract valuable insight from a huge set of reviews, classification of reviews into negative and positive sentiments is needed. Sentiment Analysis (SA) is a computational study for extracting subjective data from text. This article focuses on the design of Advanced Data Mining Enabled Robust Sentiment Analysis on E-Commerce Product Reviews (ADMRSA-EPR) model. The presented ADMRSA-EPR technique mainly relies on the differentiation of the sentiments exist in the online product reviews. In the presented ADMRSA-EPR technique, the first step is to analyze the raw product reviews into useful format and word embedding process takes place. To analyze sentiments exist in product reviews, stacked auto encoder (SAE) model is applied. At the final stage, the parameters related to the SAE model get optimally adjusted using the manta ray foraging optimization (MRFO) algorithm. The experimental result analysis of the ADMRSA-EPR technique on distinct datasets reports a promising performance over the other existing models.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032325","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

3-Phase 7-Level Diode Clamped Inverter for Standalone Application 3相7电平二极管箝位逆变器的独立应用

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073661

KALAGOTLA CHENCHIREDDY, V. Kumar, N. Shankar, P. Vamshi, S. Tulasi, K. Radhika

引用次数: 1

Earthquake Prediction using Long Short Term Memory on Spatio-Temporally Segmented Data 基于时空分段数据的长短期记忆地震预报

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073687

Ankit Sonthalia, S. Pasari, Sonu Devi

{"title":"Earthquake Prediction using Long Short Term Memory on Spatio-Temporally Segmented Data","authors":"Ankit Sonthalia, S. Pasari, Sonu Devi","doi":"10.1109/ICAIS56108.2023.10073687","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073687","url":null,"abstract":"This paper describes a machine learning model for predicting earthquakes on the basis of past earthquake data. In particular, this study uses the Long Short Term Memory (LSTM) model, a neural network model designed to operate on time-series data with long-term dependencies. Here, the instrumental earthquake data is considered from three selected locations in Indonesia. First, the dataset is pre-processed by segmenting it into time intervals and space grids. The multi-dimensional time-series data is then fed into the network to output the probability of an earthquake in the next interval. This method was originally introduced by Wang et al. [1] and achieved an accuracy close to 85% on a dataset from Mainland China (1966–2016). To the best of our knowledge, no subsequent works have attempted to reproduce their results on different datasets, or introduce enhancements. This research work has implemented the same model on three different datasets. Further, the softmax activation function is replaced with the sigmoid activation function. This ensures that the probability values of earthquakes occurring in the segmented grids are independent of each other and are not rendered mutually exhaustive or exclusive events. Finally, a failure mode of this model is mentioned by showing that it performs poorly to predict large earthquakes.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994778","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

Analysis of the Effect of IoT-based Wearables in Healthcare Applications 基于物联网的可穿戴设备在医疗保健应用中的效果分析

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Pub Date : 2023-02-02 DOI: 10.1109/ICAIS56108.2023.10073791

Shaik Junaid Parvez, Shaik Salman Babu, S. Farook, P. Baraneedharan

{"title":"Analysis of the Effect of IoT-based Wearables in Healthcare Applications","authors":"Shaik Junaid Parvez, Shaik Salman Babu, S. Farook, P. Baraneedharan","doi":"10.1109/ICAIS56108.2023.10073791","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073791","url":null,"abstract":"Internet of Things (IoT) devices and user input will accelerate healthcare delivery and reduce errors to an unparalleled degree. The spread of healthcare in remote locations is driving the development of Wi-Fi equipment. Future EHR prototypes give clinicians a holistic view of a patient’s health. This study investigates medical care in rural India and suggests the Rural Smart Healthcare System (RSHS) for the elderly. Internet of Things lets patients' vitals talk to one other and to clinic staff. It introduces cost-effective, high-quality patient care methods to the healthcare business. Cloud computing and big data have ushered in a new age in healthcare technology. Scale, rapidity, and dependability are key cloud computing qualities. Cloud computing and the Internet of Things are being used to produce smarter linked devices and goods. Clinical equipment with record-keeping software is also widespread. Continuous engineering helps healthcare firms build a strong future. They're connected to Internet-enabled devices worldwide. All healthcare facilities, clinics, and health clubs strive for the best patient outcomes. The Internet of Things (IoT) in healthcare drives innovation, cost savings, enhanced precision, and service expansion. Healthcare stakeholders have recently moved their focus from establishing automated scientific methods and digitising medical records to big data analysis. Cloud-based data could help healthcare organisations provide better care to providers. IoT healthcare devices collect medical signals and/or photos. Accurate diagnosis requires analysing IoT cloud computing. This gives precise statistics for health management. Smart systems provide extraordinary real-time data collection. Cloud computing uses open-source technologies with varied degrees of safety.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130250907","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