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A Realizable Data Encryption Strategy 可实现的数据加密战略
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-28 DOI: 10.4108/eetsis.5230
Pranjali, Srividya Ramisetty, Vani B Telagade, S. D. Adiga
{"title":"A Realizable Data Encryption Strategy","authors":"Pranjali, Srividya Ramisetty, Vani B Telagade, S. D. Adiga","doi":"10.4108/eetsis.5230","DOIUrl":"https://doi.org/10.4108/eetsis.5230","url":null,"abstract":"As technology continues to advance, data has become an increasingly important element in the sphere of Information Technology. However, enormous data generated by devices presents a major challenge in handling it in real time. Data encryption is a crucial component in ensuring data security and privacy during its transmission in network. Unfortunately, many applications disregard data encryption in order to achieve higher performance. The work proposes a solution to this problem by introducing a data encryption process that is, the Realizable Data Encryption Strategy (RDES) and Deoxyribonucleic Acid (DNA) computing, a revolutionary cryptographic method that improves information security by preventing authorized access to sensitive data, being used. Information security is improved by DNA symmetric cryptography being suggested. The outcomes show that plain-text encryption is a very secure procedure. The RDES approach is designed to improve privacy protection within the constraints of real-time processing. By implementing the RDES approach, data privacy and security can be significantly enhanced without compromising performance.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423191","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
Smart Attendance System using Face Recognition 使用人脸识别的智能考勤系统
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-26 DOI: 10.4108/eetsis.5203
Jayaraj Viswanathan, Kuralamudhan E, Navaneethan S, Veluchamy S
{"title":"Smart Attendance System using Face Recognition","authors":"Jayaraj Viswanathan, Kuralamudhan E, Navaneethan S, Veluchamy S","doi":"10.4108/eetsis.5203","DOIUrl":"https://doi.org/10.4108/eetsis.5203","url":null,"abstract":"  \u0000Face recognition offers a wide range of valuable applications in social media, security, and surveillance contexts. The software used for building facial recognition algorithms is Python and OpenCV. \"Attendance using Face Recognition\" is a method for tracking and managing attendance that makes use of facial recognition technology. By seamlessly integrating the 'Face Recognition' module, a native Python feature, and the OpenCV library, our system excels in accuracy and dependability. The system then stores attendance records in a database and provides real-time reports. In this article, we demonstrate how to create a face recognition system in Python utilizing the built-in \"Face Recognition\" module and the OpenCV library. Our results show that our system achieves high accuracy and robustness while being efficient and scalable, catering to a wide spectrum of educational institutions, organizations, and enterprises.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"181 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140428619","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
Research step of PID control method of stepper motor based on improved fuzzy control algorithm 基于改进模糊控制算法的步进电机 PID 控制方法研究步骤
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-26 DOI: 10.4108/eetsis.5205
Zichi Zhang, Xiangding Meng, Yilei Kou
{"title":"Research step of PID control method of stepper motor based on improved fuzzy control algorithm","authors":"Zichi Zhang, Xiangding Meng, Yilei Kou","doi":"10.4108/eetsis.5205","DOIUrl":"https://doi.org/10.4108/eetsis.5205","url":null,"abstract":"The significance of PID control within the management system of stepper motors is noteworthy; nonetheless, it is worth noting that stepper motors are susceptible to issues such as low power, step loss, and vibration. The conventional Proportional-Integral-Derivative (PID) control method is insufficient in addressing the control challenge specific to stepper motor management systems. Hence, this research work presents an enhanced fuzzy control method that integrates the principles of fuzzy control theory with traditional PID control theory. The integration of fuzzy control into the P ID control is undertaken to create a fuzzy controller that satisfies the demands of stepper motor control. Additionally, the division of indices is conducted in accordance with the specifications of the fuzzy controller in order to mitigate the disruptive elements of PID control. then, the use of fuzzy control rules is employed to achieve control over the stepper motor, resulting in the development of an enhanced scheme that is then subjected to rigorous validation. The present study employs a MATLAB simulation to compare the performance of the enhanced fuzzy control algorithm with that of the P-ID control method. The results demonstrate that the improved fuzzy control algorithm significantly enhances the stability and dynamic performance of the stepper motor. Superior to traditional Proportional-Integral-Derivative (PID) control.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"33 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140429446","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 and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status 用于监控电气设备状态的物联网和继电器辅助传输技术
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-23 DOI: 10.4108/eetsis.4839
Yawen Yi, Chuan Chen, Ziran Chen, Ganxin Jie, Yong Tu, Qijun Zhang
{"title":"IoT and Relaying Aided Transmission Technologies for Monitoring Electrical Equipment Status","authors":"Yawen Yi, Chuan Chen, Ziran Chen, Ganxin Jie, Yong Tu, Qijun Zhang","doi":"10.4108/eetsis.4839","DOIUrl":"https://doi.org/10.4108/eetsis.4839","url":null,"abstract":"This paper presents a novel approach to monitoring the status of electrical equipment using Internet of Things (IoT) and relaying-aided transmission technologies, where data rate is used as a key metric for evaluating system monitoring performance. In this framework, relaying plays a pivotal role, enhancing the robustness and efficiency of data transmission in the monitoring process. We employ the optimal relay selection algorithms to identify and employ the most effective relay to assist in the transmission, thereby optimizing the communication link between the electrical equipment and the monitoring system. To provide a comprehensive understanding of the system's capabilities, we delve into the analytical aspects by deriving expressions for the data rate. These expressions offer insights into the theoretical performance limits and the factors influencing the efficiency of the system. The theoretical framework is further complemented by a series of simulations. These simulations validate the analytical models developed in the study, and provide practical scenarios to demonstrate the real-world applicability and effectiveness of the proposed IoT and relaying-aided transmission technologies in monitoring electrical equipment.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140435932","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
Research on the application of data mining algorithm in photojournalism and short video communication 数据挖掘算法在新闻摄影和短视频传播中的应用研究
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-22 DOI: 10.4108/eetsis.5180
Yidi Wang, Yan Song Zhang
{"title":"Research on the application of data mining algorithm in photojournalism and short video communication","authors":"Yidi Wang, Yan Song Zhang","doi":"10.4108/eetsis.5180","DOIUrl":"https://doi.org/10.4108/eetsis.5180","url":null,"abstract":"Short films and photojournalism are crucial parts of video communication, yet there are issues including poor video integration, inconsistency between short videos and photojournalism, and slow communication speed. In order to evaluate and analyse video communication, this research offers a data mining algorithm. First, the database's images and videos are chosen and analysed using a mining algorithm, and then the indicators are reduced by dividing them into groups based on the specifications for video dissemination. video transmission distractions. The mining algorithm then analyses the video propagation, creates a plan that satisfies the criteria, and refines the plans that satisfies the criteria. Analyse. The integration level, timeliness, and compliance rate of data mining algorithms for video propagation are superior to traditional video dissemination method under specific analysis criteria, according to MATLAB simulation.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"37 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140440788","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
Effective preprocessing and feature analysis on Twitter data for Fake news detection using RWS algorithm 使用 RWS 算法对 Twitter 数据进行有效预处理和特征分析，以检测假新闻
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-20 DOI: 10.4108/eetsis.5157
M. Santhoshkumar, V. Divya
{"title":"Effective preprocessing and feature analysis on Twitter data for Fake news detection using RWS algorithm","authors":"M. Santhoshkumar, V. Divya","doi":"10.4108/eetsis.5157","DOIUrl":"https://doi.org/10.4108/eetsis.5157","url":null,"abstract":"The tremendous headway of web empowered gadgets develops the clients dependably strong in virtual redirection affiliations. Individuals from social affairs getting moment notices with respect to news, amusement, training, business, and different themes.  The development of artificial intelligence-based classification models plays an optimum role in making deeper analysis of text data. The massive growth of text-based communication impacts the social decisions also. People rely on news and updates coming over in social media and networking groups. Micro blogs such as tweeter, facebooks manipulate the news as faster as possible. \u0000The quality of classification of fake news and real news depends on the processing steps. The proposed articles focused on deriving a significant method for pre-processing the dataset and feature extraction of the unique data. Dataset is considered as the input data for analyzing the presence of fake news. The extraction of unique features from the data is implemented using Bags of relevant tags (BORT) extraction and Bags of relevant meta words (BORMW).","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448633","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
Survey and Analysis of Citizen Network Political Participation Based on Binary Search Tree Algorithm 基于二叉搜索树算法的公民网络政治参与调查与分析
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-20 DOI: 10.4108/eetsis.4922
Haixia Li
{"title":"Survey and Analysis of Citizen Network Political Participation Based on Binary Search Tree Algorithm","authors":"Haixia Li","doi":"10.4108/eetsis.4922","DOIUrl":"https://doi.org/10.4108/eetsis.4922","url":null,"abstract":"NTRODUCTION: In the digital age, citizens' online political engagement is crucial for the development and stability of society.OBJECTIVES: To gain insights into and address the challenges facing political engagement today, where effectively assessing and promoting citizen participation in the context of the information explosion and the popularization of social media has become a pressing issue.METHODS: Using the binomial search tree algorithm, which was introduced to analyze and predict citizens' political behaviors in the online environment, able to dig deeper into citizens' concerns, opinions, and interaction patterns on political topics by collecting large-scale online data and applying it to the binomial search tree algorithm.RESULTS: The binary search tree algorithm is able to efficiently and accurately reveal the complex features of citizens' online political engagement.CONCLUSION: The binomial search tree algorithm is more advantageous than traditional methods, providing deeper insights for government policymakers and social scientists, and this study is essential for advancing the understanding and enhancement of citizens' online political engagement.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"675 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140446305","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
Research on Automatic Scoring Method of Intelligent Translation System Based on TSO Optimized LSTM Networks 基于 TSO 优化 LSTM 网络的智能翻译系统自动评分方法研究
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-20 DOI: 10.4108/eetsis.4858
Wei Li
{"title":"Research on Automatic Scoring Method of Intelligent Translation System Based on TSO Optimized LSTM Networks","authors":"Wei Li","doi":"10.4108/eetsis.4858","DOIUrl":"https://doi.org/10.4108/eetsis.4858","url":null,"abstract":"INTRODCTION: The study of automatic marking methods in the Department of Language Translation is conducive to the fairness and rationality of marking by examining the comprehensive level of the students' language, as well as sharing the objectivity and pressure of the marking teachers in marking the scripts.OBJECTIVES: Aiming at the current automatic scoring methods of translation systems, which have the problems of not considering the global nature of influence features and low precision.METHODS: This paper proposes an automatic scoring method for translation system based on intelligent optimization algorithm to improve the deep network. First, by analyzing the language translation scoring problem, selecting the key scoring influencing factors and analyzing the correlation and principal components; then, improving the long and short-term memory network through the triangle search optimization algorithm and constructing the automatic scoring model of the translation system; finally, the high efficiency of the proposed method is verified through the analysis of simulation experiments.RESULTS: The proposed method is effective and improves the accuracy of the scoring model.CONCLUSION: solves the problem of inefficient scoring in the automatic scoring method of the translation system.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140447546","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
Assessment of Global Forest Coverage through Machine Learning Algorithms 通过机器学习算法评估全球森林覆盖率
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-15 DOI: 10.4108/eetsis.5122
P. S. Metkewar, Ravi Chauhan, A. Prasanth, Malathy Sathyamoorthy
{"title":"Assessment of Global Forest Coverage through Machine Learning Algorithms","authors":"P. S. Metkewar, Ravi Chauhan, A. Prasanth, Malathy Sathyamoorthy","doi":"10.4108/eetsis.5122","DOIUrl":"https://doi.org/10.4108/eetsis.5122","url":null,"abstract":"This exploration of paper presents an investigation of the Forest Region Inclusion Dataset that gives data on the backwoods inclusion of different nations overall from 1990 to 2020. The dataset contains country-wise information on population, population density, population development rate, total population rate, and forest region inclusion. We examined this dataset to decide the patterns in woodland region inclusion across various nations and mainlands, as well as the connection among populace and backwoods region inclusion. Our discoveries show that while certain nations have essentially expanded their forest region inclusion, others have encountered a decline. Besides, we found that population density and development rate are adversely related with forest area coverage. Authors have implemented four machine learning algorithms that are Linear Regression, Decision Tree, Random Forest and Support Vector Machine on the dataset.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"386 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139834399","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
Assessment of Global Forest Coverage through Machine Learning Algorithms 通过机器学习算法评估全球森林覆盖率
ICST Transactions on Scalable Information Systems Pub Date : 2024-02-15 DOI: 10.4108/eetsis.5122
P. S. Metkewar, Ravi Chauhan, A. Prasanth, Malathy Sathyamoorthy
{"title":"Assessment of Global Forest Coverage through Machine Learning Algorithms","authors":"P. S. Metkewar, Ravi Chauhan, A. Prasanth, Malathy Sathyamoorthy","doi":"10.4108/eetsis.5122","DOIUrl":"https://doi.org/10.4108/eetsis.5122","url":null,"abstract":"This exploration of paper presents an investigation of the Forest Region Inclusion Dataset that gives data on the backwoods inclusion of different nations overall from 1990 to 2020. The dataset contains country-wise information on population, population density, population development rate, total population rate, and forest region inclusion. We examined this dataset to decide the patterns in woodland region inclusion across various nations and mainlands, as well as the connection among populace and backwoods region inclusion. Our discoveries show that while certain nations have essentially expanded their forest region inclusion, others have encountered a decline. Besides, we found that population density and development rate are adversely related with forest area coverage. Authors have implemented four machine learning algorithms that are Linear Regression, Decision Tree, Random Forest and Support Vector Machine on the dataset.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"2 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774678","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
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