2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)最新文献_第6页

Privacy Protection of Wireless Sensor Network Nodes Based on Dynamic Adaptive Routing Algorithm 基于动态自适应路由算法的无线传感器网络节点隐私保护

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10059786

Qing Tan

引用次数: 0

An Exploration on Verification of Educational Assets Through Blockchain Technology 基于区块链技术的教育资产核查探索

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10059704

Ajay Rastogi, D. K. Sinha

{"title":"An Exploration on Verification of Educational Assets Through Blockchain Technology","authors":"Ajay Rastogi, D. K. Sinha","doi":"10.1109/ICERECT56837.2022.10059704","DOIUrl":"https://doi.org/10.1109/ICERECT56837.2022.10059704","url":null,"abstract":"Emergence and development of the blockchain technology, which is able to transform into “a most powerful disruptive innovation”, shall definitely concern universities. Moreover, nowadays the blockchain technology meets the challenges that both the system of higher education and the entire society are currently facing. Advantages of the blockchain technology are decentralized open data, absence of forgeries, safe storage of information, and reduction of transaction expenses related to data checkup, control, and verification. As of right moment, blockchain is considered to be a widely applicable technology with huge potential. In addition, information stored on a Blockchain record can be accessed from anywhere at any time. The potential for blockchain to manage and maintain student records is enormous. Blockchain is the key piece of technology used to create digital currencies like bit coins. Blockchain technology is a component of the fourth modern revolution after the development of the steam engine, the electric motor, and the computer. It has been used in many fields, including finance, law, and trade. The current article focused on its potential educational applications and looked into how blockchain technology might be used to address various challenges with education.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123647118","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

Prediction of Air Quality using Deep Learning based Model with CRO 基于CRO的深度学习模型的空气质量预测

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10060778

P. Pareek, S. G. Gollagi, B. Parameshachari, Mohandas Karamthoti

{"title":"Prediction of Air Quality using Deep Learning based Model with CRO","authors":"P. Pareek, S. G. Gollagi, B. Parameshachari, Mohandas Karamthoti","doi":"10.1109/ICERECT56837.2022.10060778","DOIUrl":"https://doi.org/10.1109/ICERECT56837.2022.10060778","url":null,"abstract":"As their populations rapidly urbanise, many emerging nations also have a severe issue with air pollution. The ability to foresee changes in air quality is increasingly valuable to both policymakers and citizens. In this study, we usage of air quality and weather forecast data to make predictions for the following 48 hours at each monitoring station. This work creates a feature selection-based classifier for forecasting based on expertise in the field of air pollution. Three forms of information-air contaminants, meteorological data, and weather data-are offered as prerequisites for making air quality forecasts. In order to facilitate more accurate categorization, the raw data are split and standardised during the pre-processing stage. Therefore, it is essential to identify the best characteristics from the pre-processed data and eliminate the extraneous ones that might lead to incorrect categorization. In this research, an unique optimization-based approach was used to pick features from coral reefs. An optimization approach called the coral reefs optimization (CRO) procedure is able to find optimal solutions by modelling coral behaviours relevant to reef location and development. Each possible solution to the issue is analogized to a coral that is always searching for a suitable spot in which to settle and flourish in the reefs in the suggested approach. At each stage, the solutions are processed with the help of the coral reefs optimization algorithm's unique operators. A better solution is more likely to flourish on the reefs after a number of iterations. The issue is solved by selecting the best solution. In the end, a Network is used to make predictions (DNN). As can be seen from the findings, the suggested model is almost as accurate as the state-of-the-art alternatives, at 96%.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122094385","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

Hate Speech Detection using CSO based Polynomial Network using Twitter 基于CSO的多项式网络的Twitter仇恨语音检测

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10059728

G. K. Madhura, B. Parameshachari, P. Pareek

{"title":"Hate Speech Detection using CSO based Polynomial Network using Twitter","authors":"G. K. Madhura, B. Parameshachari, P. Pareek","doi":"10.1109/ICERECT56837.2022.10059728","DOIUrl":"https://doi.org/10.1109/ICERECT56837.2022.10059728","url":null,"abstract":"The power of social media as a catalyst for societal transformation is now unrivalled. What happens in one part of the world has repercussions in other parts of the world. This is because the vast quantities of data produced by these platforms may be instantly disseminated to any part of the globe. To make cyber space as welcoming and productive as feasible for all users, developers of these platforms must overcome several obstacles. However, provocative speech and hate speech have emerged as major problems in recent years. The scale of this issue is so large that it cannot be solved by coordinated teamwork alone, no matter how hard people try. Actually, there is a need for the development of an automated approach that can identify and eliminate nasty and insulting remarks before they can do any damage. This paper offers a novel Deep Learning-based Hate Speech Detection Scheme (DL-HSDS) to identify hate speech in Twitter data. Even though there are a lot of HSDS methods available, many of them suffer from insufficient feature learning and poor dataset management, both of which negatively impact attack detection precision. Therefore, to improve detection accuracy, the suggested module integrates the Cuckoo Search Optimization algorithm (CSO) with the (SDPN); CSO picks the optimum features in the datasets, and SDPN categorises the data as hate or normal. The suggested model, which employs the tweet text with CSO to imprisonment the tweets' outperforms the previous models.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122917551","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

Mosquito Density Prediction Model Based On Deep Learning 基于深度学习的蚊子密度预测模型

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10060058

Xue-yu Lu, Jian Hou, Fang Wang, Jiaying Guan

引用次数: 0

Build a Dynamic Psychedelic Network Environment through SDN Technology to Improve the Difficulty of Hacker Attacks 通过SDN技术构建动态迷幻网络环境，提高黑客攻击难度

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10059839

Dongling Xiao, H. Meng, B. Jin, Xiaoyan Wei, Jun-Wei Huang, Jie Xu, Feng Guo, Zheng Yu

{"title":"Build a Dynamic Psychedelic Network Environment through SDN Technology to Improve the Difficulty of Hacker Attacks","authors":"Dongling Xiao, H. Meng, B. Jin, Xiaoyan Wei, Jun-Wei Huang, Jie Xu, Feng Guo, Zheng Yu","doi":"10.1109/ICERECT56837.2022.10059839","DOIUrl":"https://doi.org/10.1109/ICERECT56837.2022.10059839","url":null,"abstract":"Facing more and more serious network security problems, the defender first adopts passive defense methods, that is, through intrusion detection, firewall, malicious code detection and other technologies, to defend against known viruses or attack methods. However, passive defense always lags behind the attacker. In today's increasingly complex cyberspace and increasingly demanding network security, this defense method has been unable to meet people's needs for network security. Therefore, this paper builds a DPNE through SDN technology to improve the difficulty of hacker attacks(HAs). This paper briefly introduces SDN technology, constructs a dynamic psychedelic network environment(DPNE), and discusses the difficulty of HA based on SDN technology and the deception of topology detection by psychedelic network environment; By improving the performance analysis of HA algorithm, it is verified that SDN technology has achieved good results in building a DPNE to improve the difficulty of HA.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124195433","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

Design of a Battery Charge Controller Through MPPT Based Solar Photovoltaic System 基于MPPT的太阳能光伏系统电池充电控制器设计

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10060581

B. Pooja, S. Rajanna, N. L. Varaprasad, M. Ramesh, G. Sowmya, S.R. Rakshitha

引用次数: 0

Research on Physical Performances of the Improved Seat on Human Centrifuge 人体离心机改进型座椅物理性能研究

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10060012

Yifeng Li, Li-Hui Zhang, Zhao Jin, Songyang Liu, X. Geng, Yi Wang, Bao-hui Li, Ming-Hsuan Yang, Yan Xu, Xiao-yang Wei, Haixia Wang, Ke Jiang, Hong Wang, Jinghui Yang, Xiaoxue Zhang

引用次数: 0

Research on Optimization of Indoor Optical Storage Technology Based on Artificial Intelligence Algorithm 基于人工智能算法的室内光存储技术优化研究

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10060000

Tao Huang, Qingqing Cheng, Jinghua Meng

{"title":"Research on Optimization of Indoor Optical Storage Technology Based on Artificial Intelligence Algorithm","authors":"Tao Huang, Qingqing Cheng, Jinghua Meng","doi":"10.1109/ICERECT56837.2022.10060000","DOIUrl":"https://doi.org/10.1109/ICERECT56837.2022.10060000","url":null,"abstract":"With the rapid development of computer technology, artificial intelligence algorithms have been widely used. Under the background of global low carbon development consensus, construction industry electrification has also become one of the future development trends. Its technical means include not only promoting the substitution and electrification of building electricity, but also promoting the development of building power distribution system to improve its flexibility, safety, reliability and efficiency. Adapt to the high proportion of renewable energy and different demands for energy services in the future. In addition, the building distribution network is no longer a simple user, but is introduced into the urban power grid to provide network support and support services directly beneficial to the power grid. Artificial intelligence is a branch of computer science. Artificial intelligence is of great significance not only in the field of computer, but also in the fields of robots, control systems and simulation systems. The application of artificial intelligence, including computer science, psychology, philosophy, linguistics and other disciplines, plays a very important role in the development of electrification. In the development process of electrification, it involves special contents in machine vision, robot and other related fields, so it is particularly important to introduce artificial intelligence algorithms.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749248","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

Battery Management System (BMS) for Electric Vehicle Applications 用于电动汽车的电池管理系统(BMS)

2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2022-12-26 DOI: 10.1109/ICERECT56837.2022.10060137

A. S, S. Kulkarni, Sandeep Gupta, P. V.

引用次数: 0