2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)最新文献_第8页

A Low Cost IoT Based Remote Monitoring and Feedback Collection Mechanism for Exhibits 一种基于物联网的展品远程监控与反馈收集机制

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616856

Shatadal Ghosh, Nataraj Dasgupta, S. Saha

{"title":"A Low Cost IoT Based Remote Monitoring and Feedback Collection Mechanism for Exhibits","authors":"Shatadal Ghosh, Nataraj Dasgupta, S. Saha","doi":"10.1109/icecct52121.2021.9616856","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616856","url":null,"abstract":"Remote monitoring and feedback collection is an important task for various service industries. Monitoring helps to assure quality of service while Collection of unbiased feedback is always on the top priority for any service industry like museums. Museum being a visitor centric institute heavily works on this field. This work is mainly focused on assuring quality of the Mobile science Exhibition program run by National Council of Science Museums. This Mobile Science Exhibition (MSE) is a unique and prestigious and largest outreach program run by the National Council of Science Museums. The first bus was launched in the year 1965[3] by Birla Industrial and technological Museums (BITM). Since the first day it has been one of the most successful programs run by NCSM. Hence authority has always had a dedicated focus on this program and making it more successful. With the recent decision of expending the volume of the program to a greater extent has created some operational challenges like assuring the maximum popularization of this program while operating these MSE with the help of external agencies. In this paper we have proposed the use of advanced Internet of things (IoT) based technology to solve the corresponding challenges. In addition to solving the operational challenges, our proposal will provide very useful indirect feedback data that can be used for different kinds of analysis to improve the quality of the program. The cost and complexity of the proposed system is designed by considering its feasibility to adoption by a developing country.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124131552","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 Unsupervised Learning Approach for Visual Data Compression with Chaotic Encryption 一种混沌加密视觉数据压缩的无监督学习方法

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616827

Bharti Ahuja, R. Doriya

{"title":"An Unsupervised Learning Approach for Visual Data Compression with Chaotic Encryption","authors":"Bharti Ahuja, R. Doriya","doi":"10.1109/icecct52121.2021.9616827","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616827","url":null,"abstract":"The increased demand of multimedia leads to shortage of network bandwidth and memory capacity. As a result, image compression is more significant for decreasing data redundancy, saving storage space and bandwidth. Along with the compression the next major challenge in this field is to safeguard the compressed data further from the spy which are commonly known as hackers. It is evident that the major increments in the fields like communication, wireless sensor network, data science, cloud computing and machine learning not only eases the operations of the related field but also increases the challenges as well. This paper proposes a worthy composition for image compression encryption based on unsupervised learning i.e. k-means clustering for compression with logistic chaotic map for encryption. The main advantage of the above combination is to address the problem of data storage and the security of the visual data as well. The algorithm reduces the size of the input image and also gives the larger key space for encryption. The validity of the algorithm is testified with the PSNR, MSE, SSIM and Correlation coefficient.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131459583","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

Crime Prediction and Forecasting using Voting Classifier 基于投票分类器的犯罪预测与预测

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616911

D. M, Hasifa A S, Merin Meleet

引用次数: 2

A Review-and-Reviewer based approach for Fake Review Detection 一种基于评审和审稿人的虚假评论检测方法

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616697

Janhavi Bhopale, Rugved Bhise, Arthav Mane, K. Talele

引用次数: 1

Construction of Reverse Logistics Network of Waste Electrical Appliances 废旧电器逆向物流网络的构建

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616694

Lida Hu, Amit R. Yadav, Hong Liu, M. Hassan, Swarnali Mollick

引用次数: 0

An Efficient Black Widow Optimization with Signcryption based Image Encryption Technique 基于签名加密的图像加密技术的高效黑寡妇优化

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616816

S. Kaliswaran, M. Parvees

{"title":"An Efficient Black Widow Optimization with Signcryption based Image Encryption Technique","authors":"S. Kaliswaran, M. Parvees","doi":"10.1109/icecct52121.2021.9616816","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616816","url":null,"abstract":"In last decades, Internet plays a vital medium to transfer sensitive data and the security of the communicated data needs to be high. To accomplish security, image steganography has become a major technique of data hiding which assures the security of the transmitted data. Besides, the images possess maximum capacity and the occurrence of images on the Internet is abundant. With this motivation, this paper presents an efficient black widow optimization (BWO) with signcryption technique called BWO-ST for image steganography. The proposed model involves a multi-level discrete wavelet transform (DWT) transformation is employed. Besides, the optimum pixel selection process takes place using the BWO algorithm and the encryption process is performed using the signcryption technique. In addition, the encrypted image was embedding into the selected pixel point of the cover image. A detailed series of simulation analyses are performed and the results are evaluated under different dimensions. The obtained results showcased the supremacy of the BWO-ST approach compared to other techniques.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114994765","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

Tunable Low Voltage Low Power Operational Transconductance Amplifier For Biomedical Application 用于生物医学的可调谐低电压低功率操作跨导放大器

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616627

G. Shankar, G. Soni, Bijesh Kumar Singh, B. Jain

引用次数: 1

Software Defects Detection and Prevention Through Virtualization 基于虚拟化的软件缺陷检测与预防

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616861

Jean Paul Turikumwe, Cheruiyot Wilson, Ann Kibe

{"title":"Software Defects Detection and Prevention Through Virtualization","authors":"Jean Paul Turikumwe, Cheruiyot Wilson, Ann Kibe","doi":"10.1109/ICECCT52121.2021.9616861","DOIUrl":"https://doi.org/10.1109/ICECCT52121.2021.9616861","url":null,"abstract":"With more and more digital machines consolidated on fewer and fewer cloud servers, the software running in those servers needs safety. Virtualization poses unique software defects which must be detected and prevented specific software requirements designed for virtualization environments. In this research thesis, software virtualization technology became used to transparently record the allocation and release of memory resources implemented to a database connection on a virtual machine in the cloud, and these records provided the information to detect memory leaks hiding in the code. Memory leaks account for lack of a self-adaptive handy cloud computing structure due to consistent use ordinary static and dynamic memory leak analysis tools. Most of the available tools for defects detection do not provide for consistency of memory leak prevention. The main intention of the research developed a self-adaptive virtualization model for software defects detection and prevention of software Memory Leaks Using Deep Learning and Machine Learning Methods. Data sampling used was code-based sampling based on Low-Density Parity Checks which avoided overestimating false positives for the variables used. There were a total population of 35 variables for the study, out of these; seven variables were selected as a sample. The sample objects, classes and class loaders access for the 4-database test connection used a minimum 0.1% sampling rate which had 4 database connection references out of every 7 variables used. The approach used gave an accuracy of 98% security rate when compared with other existing methods like Long Short-Term Memory which achieved 82.3%, Self-organizing Maps was 85.5% and Boltzmann Approach was 93.5%.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130701896","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

High-Performance Analysis of Recessed Gate AlN/β-Ga2O3 HEMT 凹槽栅AlN/β-Ga2O3 HEMT的高性能分析

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616693

Tushar Shivam, B. Saini, R. K. Sunkaria, Ravi Ranjan

引用次数: 0

Development of C band Patch Antenna for WLAN and Satellite Applications using Metamaterial 无线局域网和卫星用超材料C波段贴片天线的研制

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616863

Priyal Doshi, M. Shah, Khyati Chavda

引用次数: 0