2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)最新文献

Machine Learning-Based Gait Characterization Using Single IMU Sensor 基于机器学习的单IMU传感器步态表征

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037621

Amit Bhongade, Rohit Gupta, T. Gandhi

{"title":"Machine Learning-Based Gait Characterization Using Single IMU Sensor","authors":"Amit Bhongade, Rohit Gupta, T. Gandhi","doi":"10.1109/ICCCIS56430.2022.10037621","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037621","url":null,"abstract":"Ambulation plays a vital role in the daily life activities of humans. However, people with neurological, gait, and locomotion disorders experience numerous obstacles in performing daily activities. To assist such a population, tracking and estimating gait parameters with minimum circuitry is one of the foremost steps. In the present research, a machine learning-based system has been developed to estimate the temporal gait characteristics, critical gait events, and gait phases. Moreover, the developed system required only a single inertial measurement unit (IMU) sensor. The performance of the developed system has been estimated for three classifiers, support vector machine (SVM), linear discriminant analysis (LDA), and K-nearest neighbor (KNN), over five healthy subjects. For gait events identification, the average classification accuracy depicted by SVM, LDA, and KNN classifiers are, $91.53 pm 4.23 %, 91.68 pm 5.76 %$, and $90.62 pm 5.19 %$ (p-value $gt0.05$), respectively. Further, for gait phase estimation, the average performance is shown by SVM, LDA, and KNN classifiers, $94.40 pm 5.14 %, 97.03 pm 3.20 %$, and $91.94 pm 4.52 %$ (p-value $lt 0.05$), respectively. The developed system provides a cost-effective solution for gait characterization.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126127447","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

IoT-Based Solar Monitor System 基于物联网的太阳能监测系统

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037739

Burhanuddin Abdullah, Suman Lata

{"title":"IoT-Based Solar Monitor System","authors":"Burhanuddin Abdullah, Suman Lata","doi":"10.1109/ICCCIS56430.2022.10037739","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037739","url":null,"abstract":"Energy monitoring of PV-based energy systems is required for several convincing reasons, including the rising need for the same, high operational costs, and high energy prices. This paper presents the development of a real-time, IoT-based solar monitoring system. General purpose microcontroller has been integrated with current and voltage sensors to collect the data. The collective data is displayed, and the power produced is calculated using an IoT analysis platform. Actual current, voltage and power measurements have been done using an available ammeter, voltmeter and wattmeter respectively. Calculation of the error between the actual measurements and IoT-based measurements is calculated under various load conditions. A tiny flash memory card has been used for long-term storage. Thing Speak an IoT-based analytics platform service has been used for visualization and analysis. The performance evaluation which is done on the basis of error calculation reveals the conformity between the actual and the IoT-based measurements. The developed system has been validated under constant temperature and humidity conditions. In future, the model can be tested for variable temperature and humidity conditions on hybrid PV systems.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125425309","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 Semantic Review on Challenges, Trends towards Defensive IDS in Internet of Things 物联网防御入侵检测的挑战与趋势

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037617

Neeraj Kumar, S. Sharma

引用次数: 1

Current security and privacy issues, and concerns of Internet of Things (IoT) and Cloud Computing: A review 当前的安全和隐私问题，以及物联网和云计算的关注:综述

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037730

Pahalage Dona Thushari

{"title":"Current security and privacy issues, and concerns of Internet of Things (IoT) and Cloud Computing: A review","authors":"Pahalage Dona Thushari","doi":"10.1109/ICCCIS56430.2022.10037730","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037730","url":null,"abstract":"Emerging technologies for instance such as Cloud Computing and Internet of Things (IoT) have revolutionized the usage of technology in crucial trades and sectors in a remarkable way we could not imagine a decade ago. Due to their decentralized nature, high reliability, efficiency, scalability, and accessibility, many organizations have adopted cloud computing and IoT to a certain degree due to the wave of digitalization. However, these technologies have several challenges on their way ahead that impact their growth in the future. The most sensitive and critical issues are related to security and privacy. The rapid growth and usage of these technologies make security and privacy concerns even more significant. Today, security and privacy concerns may represent one of the critical hazards regarding data confidentiality. There is very little evidence available to measure that the existing and emerging concerns of Cloud Computing and Internet of Things in this decade are being addressed to match the rapid growth ahead. This study aims to determine how such issues and concerns can be solved by reviewing recent challenges and trends on the IoT and cloud computing. Specifically, it reviews how these challenges have a considerable impact on data digitalization and cloud convergence. In this context, Cloud of Things (CoT) will be analyzed, including its applications and effectivity as the incorporation of the IoT and cloud computing, concerning privacy, and security and its capacity to enhance the current paradigm.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736172","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 Study on Effects of Innovation and Technology on Service Excellence:In Context to Indian Banking Sector 创新与技术对服务卓越性的影响研究——以印度银行业为例

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037731

D. Chauhan, A. Sharma, S. Sahana, M. Dharwal, Anup Srivastava

引用次数: 0

Deep Learning-based Time Series Models for GDP and ICT Growth Prediction in India 基于深度学习的印度GDP和ICT增长预测时间序列模型

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037636

Surbhi Kumari, S. K. Singh

{"title":"Deep Learning-based Time Series Models for GDP and ICT Growth Prediction in India","authors":"Surbhi Kumari, S. K. Singh","doi":"10.1109/ICCCIS56430.2022.10037636","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037636","url":null,"abstract":"Approximately 13% of the country’s gross domestic product (GDP) depends on information and communication technology (ICT), and India’s digital economy accounts for nearly ${$}$200 billion in economic value annually. The literature has well established the function of ICT in stimulating economic growth. The work focuses on the relationship between the ICT use index and GDP based on the last 30-year time series multivariate data. The variables having a high correlation with respect to GDP has taken for the analysis. This work also forecasts the next 10-year growth in ICT use index and GDP w.r.t each other using machine learning and deep learning models which are linear regression(LR), random forest(RF), temporal convolutional network(TCN), Kalman forecaster(KF), Neural Basis Expansion Analysis for Interpretable Time Series Forecasting (NBEATS) model and transformer model. There are eight performance metrics we have used for model evaluation. The transformer model has been suggested as the best predicting model with the least root mean squared error value of 0.326, mean absolute error of 0.51, mean absolute ranged relative error of 52.592, and so on. This paper also suggested policies to foster the country’s economic growth using ICT.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122054651","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

Digital Forensics in IoT Enabled Smart Environment: Need of the Hour 物联网智能环境中的数字取证:时势需求

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037625

D. Rani, N. S. Gill, P. Gulia, Ayushi Chahal, Amit Sagu

引用次数: 0

UV-C Disinfection Smart Device UV-C消毒智能装置

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037741

K. J. K. Sai, P. Nikhila, C. Ahalya, K. Chowdary, R. Abburi, Sibendu Samanta

引用次数: 0

Virtual Reality based test batteries for evaluating Trust and Reliability in Human Machine teams 基于虚拟现实的评估人机团队信任和可靠性的测试电池

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037599

Aakriti Prasad, Rahul Agnihotri, Gunjan Ansari

{"title":"Virtual Reality based test batteries for evaluating Trust and Reliability in Human Machine teams","authors":"Aakriti Prasad, Rahul Agnihotri, Gunjan Ansari","doi":"10.1109/ICCCIS56430.2022.10037599","DOIUrl":"https://doi.org/10.1109/ICCCIS56430.2022.10037599","url":null,"abstract":"Virtual Reality and Artificial Intelligence studies have interesting loads withinside the issue of all the packages that may be made with it. As they head closer to an excellent greater tech-pushed future, the improvement capabilities are steadily in demand. This has led researchers to find the human dependency and trust on machines in a VR simulation. Human trust is one of the main factors through which they can become more dependent on the machines. If the trust of a person on machines is high, then they can say that humans are more dependent on machines. Physiological sensor data such as electroencephalography (EEG) and galvanic skin response (GSR) are being used to evaluate the trust. In this paper, we proposed an approach which can be used for evaluating the human trust on machines by creating a Virtual Reality based driving simulator in which the player has to follow the path told to them by the machine. In our work, we extracted features using different methods. We did the Fourier analysis to study the spectral amplitude. Time Frequency Representation (TFR) was performed using Morlet Wavelets and Multitaper. Power Spectral Density (PSD) was computed using Welch’s Method and Multitaper. All these methods were analyzed to evaluate the trust in Human Machine teams. Our results indicate that all the frequency bands – delta, theta, alpha, beta, and gamma showed significant features related to trust.","PeriodicalId":286808,"journal":{"name":"2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600596","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

Understanding Fusion of Internet of Vehicles with Blockchain : IoV and Blockchain 理解车联网与区块链的融合:车联网与区块链

2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) Pub Date : 2022-11-04 DOI: 10.1109/ICCCIS56430.2022.10037587

Arman Rasool Faridi, Rahul Singh, Faraz Masood

引用次数: 0