ICST Transactions on Scalable Information Systems最新文献_第5页

Blockchain based Quantum Resistant Signature Algorithm for Data Integrity Verification in Cloud and Internet of Everything 基于区块链的量子抗性签名算法，用于云和万物互联中的数据完整性验证

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-20 DOI: 10.4108/eetsis.5488

P. Shrivastava, Bashir Alam, Mansaf Alam

{"title":"Blockchain based Quantum Resistant Signature Algorithm for Data Integrity Verification in Cloud and Internet of Everything","authors":"P. Shrivastava, Bashir Alam, Mansaf Alam","doi":"10.4108/eetsis.5488","DOIUrl":"https://doi.org/10.4108/eetsis.5488","url":null,"abstract":" \u0000INTRODUCTION: The processing and storage capacities of the Internet of Everything (IoE) platform are restricted, but the cloud can readily provide efficient computing resources and scalable storage. The Internet of Everything (IoE) has expanded its capabilities recently by employing cloud resources in multiple ways. Cloud service providers (CSP) offer storage resources where extra data can be stored. These methods can be used to store user data over the CSP while maintaining data integrity and security. The secure storage of data is jeopardized by concerns like malicious system damage, even though the CSP's storage devices are highly centralized. Substantial security advancements have been made recently as a result of using blockchain technology to protect data transported to networks. In addition, the system's inclusive efficacy is enhanced, which lowers costs in comparison to earlier systems. \u0000OBJECTIVES: The main objective of the study is to a blockchain-based data integrity verification scheme is presented to provide greater scalability and utilization of cloud resources while preventing data from entering the cloud from being corrupted. \u0000METHODS: In this paper, we propose a novel method of implementing blockchain in order to enhance the security of data stores in cloud. \u0000RESULTS: The simulations indicate that the proposed approach is more effective in terms of data security and data integrity. Furthermore, the comparative investigation demonstrated that the purported methodology is far more effective and competent than prevailing methodologies. \u0000CONCLUSIONS: The model evaluations demonstrated that the proposed approach is quite effective in data security.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"3 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140225763","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 Credit Risk Prediction Method of Blockchain Applied to Supply Chain Finance 区块链信用风险预测方法在供应链金融中的应用研究

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-19 DOI: 10.4108/eetsis.5300

Yue Liu, Wangke Lin

{"title":"Research on Credit Risk Prediction Method of Blockchain Applied to Supply Chain Finance","authors":"Yue Liu, Wangke Lin","doi":"10.4108/eetsis.5300","DOIUrl":"https://doi.org/10.4108/eetsis.5300","url":null,"abstract":"INTRODUCTION: From the perspective of blockchain, it establishes a credit risk evaluation index system for supply chain finance applicable to blockchain, constructs an accurate credit risk prediction model, and provides a reliable guarantee for the research of credit risk in supply chain finance.OBJECTIVES: To address the inefficiency of the current credit risk prediction and evaluation model for supply chain finance.METHODS: This paper proposes a combined blockchain supply chain financial credit risk prediction and evaluation method based on kernel principal component analysis and intelligent optimisation algorithm to improve Deep Echo State Network. Firstly, the evaluation system is constructed by describing the supply chain financial credit risk prediction and evaluation problem based on blockchain technology, analysing the evaluation indexes, and constructing the evaluation system; then, the parameters of DeepESN network are optimized by combining the kernel principal component analysis method with the JSO algorithm to construct the credit risk prediction and evaluation model of supply chain finance; finally, the effectiveness, robustness, and real-time performance of the proposed method are verified by simulation experiment analysis.RESULTS: The results show that the proposed method improves the prediction efficiency of the prediction model.CONCLUSION: The problems of insufficient scientific construction of index system and poor efficiency of risk prediction model of B2B E-commerce transaction size prediction method are effectively solved.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"37 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140229172","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

Evaluating Performance of Conversational Bot Using Seq2Seq Model and Attention Mechanism 利用 Seq2Seq 模型和注意力机制评估对话机器人的性能

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-18 DOI: 10.4108/eetsis.5457

Karandeep Saluja, Shashwat Agarwal, Sanjeev Kumar, Tanupriya Choudhury

{"title":"Evaluating Performance of Conversational Bot Using Seq2Seq Model and Attention Mechanism","authors":"Karandeep Saluja, Shashwat Agarwal, Sanjeev Kumar, Tanupriya Choudhury","doi":"10.4108/eetsis.5457","DOIUrl":"https://doi.org/10.4108/eetsis.5457","url":null,"abstract":"The Chat-Bot utilizes Sequence-to-Sequence Model with the Attention Mechanism, in order to interpret and address user inputs effectively. The whole model consists of Data gathering, Data preprocessing, Seq2seq Model, Training and Tuning. Data preprocessing involves cleaning of any irrelevant data, before converting them into the numerical format. The Seq2Seq Model is comprised of two components: an Encoder and a Decoder. Both Encoder and Decoder along with the Attention Mechanism allow dialogue management, which empowers the Model to answer the user in the most accurate and relevant manner. The output generated by the Bot is in the Natural Language only. Once the building of the Seq2Seq Model is completed, training of the model takes place in which the model is fed with the preprocessed data, during training it tries to minimize the loss function between the predicted output and the ground truth output. Performance is computed using metrics such as perplexity, BLEU score, and ROUGE score on a held-out validation set. In order to meet non-functional requirements, our system needs to maintain a response time of under one second with an accuracy target exceeding 90%.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"223 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140233465","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

Study on Evaluation of Execution Capability Based on Artificial Intelligence CIPP Model 基于人工智能 CIPP 模型的执行能力评估研究

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-15 DOI: 10.4108/eetsis.5234

Hui Dong

{"title":"Study on Evaluation of Execution Capability Based on Artificial Intelligence CIPP Model","authors":"Hui Dong","doi":"10.4108/eetsis.5234","DOIUrl":"https://doi.org/10.4108/eetsis.5234","url":null,"abstract":"INTRODUCTION: The rapid change in artificial intelligence has evaluated ideological and political education ability in colleges and universities as a significant challenge.OBJECTIVES: To assess the level of competence of universities in ideological and political education to determine the effectiveness and efficacy of educational programs and to provide a basis for improving and upgrading academic competence.METHODS: Based on the CIPP model, the author constructed an index system and selected a suitable evaluation model to conduct a study on the evaluation of ideological and political competence of colleges and universities in the context of Artificial Intelligence, which helps to understand the background conditions, resource allocation, teaching activities and quality of teaching of educational programs, as well as the level of ideological and political literacy of the students and their achievements.RESULTS: The evaluation results show that this kind of evaluation research helps to improve and enhance the capacity of ideological and political education in colleges and universities, and at the same time, it can dig into the implementation effect of the educational program, find problems and shortcomings, and promote the continuous improvement of the educational program.CONCLUSION: Through evaluation, the quality and level of ideological and political education in colleges and universities can improve students' ideological and political literacy and sense of social responsibility. In addition, based on this, it makes the development of ideological and political ability in colleges and universities can be better adapted to the era of artificial intelligence.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"17 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140240593","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 Solution to Graph Coloring Problem Using Genetic Algorithm 利用遗传算法解决图形着色问题

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-15 DOI: 10.4108/eetsis.5437

Karan Malhotra, Karan D. Vasa, Neha Chaudhary, Ankit Vishnoi, Varun Sapra

{"title":"A Solution to Graph Coloring Problem Using Genetic Algorithm","authors":"Karan Malhotra, Karan D. Vasa, Neha Chaudhary, Ankit Vishnoi, Varun Sapra","doi":"10.4108/eetsis.5437","DOIUrl":"https://doi.org/10.4108/eetsis.5437","url":null,"abstract":"INTRODUCTION: The Graph Coloring Problem (GCP) involves coloring the vertices of a graph in such a way that no two adjacent vertices share the same color while using the minimum number of colors possible. \u0000OBJECTIVES: The main objective of the study is While keeping the constraint that no two neighbouring vertices have the same colour, the goal is to reduce the number of colours needed to colour a graph's vertices. It further investigate how various techniques impact the execution time as the number of nodes in the graph increases. \u0000METHODS: In this paper, we propose a novel method of implementing a Genetic Algorithm (GA) to address the GCP. \u0000RESULTS: When the solution is implemented on a highly specified Google Cloud instance, we likewise see a significant increase in performance. The parallel execution on Google Cloud shows significantly faster execution times than both the serial implementation and the parallel execution on a local workstation. This exemplifies the benefits of cloud computing for computational heavy jobs like GCP. \u0000CONCLUSION: This study illustrates that a promising solution to the Graph Coloring Problem is provided by Genetic Algorithms. Although the GA-based approach does not provide an optimal result, it frequently produces excellent approximations in a reasonable length of time for a variety of real-world situations.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"2 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241321","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

Digital Visual Design Reengineering and Application Based on K-means Clustering Algorithm 基于 K-means 聚类算法的数字视觉设计再造与应用

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-14 DOI: 10.4108/eetsis.5233

Lijie Ren, Hyunsuk Kim

{"title":"Digital Visual Design Reengineering and Application Based on K-means Clustering Algorithm","authors":"Lijie Ren, Hyunsuk Kim","doi":"10.4108/eetsis.5233","DOIUrl":"https://doi.org/10.4108/eetsis.5233","url":null,"abstract":"INTRODUCTION: The article discusses the key steps in digital visual design reengineering, with a special emphasis on the importance of information decoding and feature extraction for flat cultural heritage. These processes not only minimize damage to the aesthetic heritage itself but also feature high quality, efficiency, and recyclability.OBJECTIVES: The aim of the article is to explore the issues of gene extraction methods in digital visual design reengineering, proposing a visual gene extraction method through an improved K-means clustering algorithm.METHODS: A visual gene extraction method based on an improved K-means clustering algorithm is proposed. Initially analyzing the digital visual design reengineering process, combined with a color extraction method using the improved JSO algorithm-based K-means clustering algorithm, a gene extraction and clustering method for digital visual design reengineering is proposed and validated through experiments.RESULT: The results show that the proposed method improves the accuracy, robustness, and real-time performance of clustering. Through comparative analysis with Dunhuang murals, the effectiveness of the color extraction method based on the K-means-JSO algorithm in the application of digital visual design reengineering is verified. The method based on the K-means-GWO algorithm performs best in terms of average clustering time and standard deviation. The optimization curve of color extraction based on the K-means-JSO algorithm converges faster and with better accuracy compared to the K-means-ABC, K-means-GWO, K-means-DE, K-means-CMAES, and K-means-WWCD algorithms.CONCLUSION: The color extraction method of the K-means clustering algorithm improved by the JSO algorithm proposed in this paper solves the problems of insufficient standardization in feature selection, lack of generalization ability, and inefficiency in visual gene extraction methods.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"13 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241639","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

OEE-WCRD: Optimizing Energy Efficiency in Wireless Sensor Networks through Cluster Head Selection Using Residual Energy and Distance Metrics OEE-WCRD：利用剩余能量和距离指标选择簇头，优化无线传感器网络的能效

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-06 DOI: 10.4108/eetsis.4268

Lalit Kumar Tyagi, Anoop Kumar

引用次数: 0

Visualization Process of International Trade and its impact on GDP through Multi-criteria Decision Model: A Case Study of India’s Merchandise Trade 通过多标准决策模型实现国际贸易及其对国内生产总值影响的可视化过程：印度商品贸易案例研究

ICST Transactions on Scalable Information Systems Pub Date : 2024-03-04 DOI: 10.4108/eetsis.5296

P. S. Metkewar, Shrivats Sharma, Lubna Hamid Shah, A. Prasanth

引用次数: 0

Prediction of User Attrition in Telecommunication Using Neural Network 利用神经网络预测电信用户流失率

ICST Transactions on Scalable Information Systems Pub Date : 2024-02-29 DOI: 10.4108/eetsis.5242

Mageshkumar N, Vijayaraj A, S. Chavva, Gururama Senthilvel

{"title":"Prediction of User Attrition in Telecommunication Using Neural Network","authors":"Mageshkumar N, Vijayaraj A, S. Chavva, Gururama Senthilvel","doi":"10.4108/eetsis.5242","DOIUrl":"https://doi.org/10.4108/eetsis.5242","url":null,"abstract":"INTRODUCTION: The telecommunications industry faces significant challenges due to customer attrition, which directly impacts revenue. To better understand and address this issue, Companies are looking into techniques to determine the internal issues that affect customer churn. \u0000OBJECTIVES: This article offers an overview of customer attrition within the telecommunications sector. \u0000METHODS: It introduces an advanced churn prediction model harnessing state-of-the-art technologies, including neural networks, machine learning, and other cutting-edge innovations, to achieve remarkably high accuracy rates. By analyzing diverse parameters and datasets collected from multiple telecom companies, valuable insights can be gained. \u0000RESULTS: The model's performance on test data can be evaluated using metrics such as Accuracy Score, Area under Curve (AUC), Sensitivity, Specificity, and other performance indicators. \u0000CONCLUSION: In order to effectively manage extensive datasets, organizations can leverage Big Data technology. This empowers them to forecast the probability of customer churn and put in place proactive strategies to retain their customer base.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"24 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140408906","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

Gaining an Understanding of DevOps from its Enablers to Its Impact on Performance 从 DevOps 的推动因素到其对性能的影响了解 DevOps

ICST Transactions on Scalable Information Systems Pub Date : 2024-02-28 DOI: 10.4108/eetsis.5228

Arvind Kumar Bhardwaj, Sandeep Rangineni

{"title":"Gaining an Understanding of DevOps from its Enablers to Its Impact on Performance","authors":"Arvind Kumar Bhardwaj, Sandeep Rangineni","doi":"10.4108/eetsis.5228","DOIUrl":"https://doi.org/10.4108/eetsis.5228","url":null,"abstract":"Despite these efforts' merit, academics have had trouble keeping up with the radical shifts in how software is created and supplied to clients. DevOps has revolutionized the way IT businesses are intended to operate as the result of years of hard effort and improvement to software delivery methods, techniques, and philosophies. Despite its widespread use and the positive effects, it has had on IT businesses' bottom lines, few people outside of the industry really understand what it is, how it operates, or if it can genuinely lead to better IT performance. This study provides a methodology that bridges the gap between these macro-level elements and the actual results of IT departments by focusing on the enabling components of DevOps, such as technological and management skills, and IT culture. Moreover, this study suggests the values of a perfect DevOps organization, which have a profound impact on IT Outcomes when they are in harmony with the firm's Delivery Approach. Information technology (IT) experts with prior DevOps experience were used to compile the survey results. In all, 176 American respondents provided their information. This alignment, in turn, has a substantial impact on IT Outcomes. This study adds not only to the growing body of literature on DevOps and software delivery, which is essential to the success of any IT firm, but also to the development of important underlying theory in these areas.","PeriodicalId":155438,"journal":{"name":"ICST Transactions on Scalable Information Systems","volume":"77 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421409","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