Proceedings of International Conference on Recent Innovations in Computing: Icric 2024, Volume 2
暫譯: 2024年國際計算近期創新會議論文集：ICRIC 2024，第2卷

本書收錄了於2024年9月16日至17日在台灣亞洲東方科技大學舉行的第七屆國際計算近期創新會議（ICRIC 2024）所呈現的選定論文，為第二卷。本書共分為四卷，涵蓋了軟體工程、雲端計算、計算機網路與網際網路技術、人工智慧、資訊安全、資料庫與分散式計算以及數位印度等領域的最新研究。

Dr. Yashwant Singh is a Professor & Head of the Department of Computer Science & Information Technology at the Central University of Jammu where he has been a faculty member since 2017. Prior to this, he was at the Jaypee University of Information Technology for 10 Years. Yashwant completed his Ph.D. from Himachal Pradesh University Shimla, his Post Graduate study from Punjab Engineering College Chandigarh, and his undergraduate studies from SLIET Longowal. His research interests lie in the area of Internet of Things, Vulnerability Assessment of IoT and Embedded Devices, Wireless Sensor Networks, Secure and Energy Efficient Routing, ICS/SCADA Cyber Security, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning, Electrical Engineering. Yashwant has served on Thirty International Conference and Workshop Program Committees and served as the General Chair for PDGC-2014, ICRIC-2018, ICRIC-2019, ICRIC-2020, and ICRIC-2021. He currently serves as coordinator of Kalam Centre for Science and Technology (KCST), Computational Systems Security Vertical at Central University of Jammu established by DRDO. Yashwant has published more than 100 Research Papers in International Journals, International Conferences, and Book Chapters of repute that are indexed in SCI and SCOPUS. He has 2278 google scholar citations, i10-index 60 and h-index 25. He has Research Projects of worth Rs.1040.9413 Lakhs in his credit from DRDO and Rs. 12.19 Lakhs from NCW. He has guided 4 Ph.D., 24 M.Tech. students and guiding 4 PhDs and 5 M.Tech. He has visited 8 countries for his academic visits e.g. U.K., Germany, Poland, Chez Republic, Hungary, Slovakia, Austria, Romania. He is Visiting Professor at Jan Wyzykowski University, Polkowice, Poland.

Dr. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University. He is also the Project Leader and Chief researcher of his project sponsored by National Research, Development and Innovation (NRDI) Hungary. He also won a young educator scholarship for novel research sponsored by the EKÖP, NRDI Fund, and the Hungarian Government. He pursued a post-doctorate at the faculty of informatics, Eötvös Loránd University, Budapest, Hungary, sponsored by UNKP, MIT (Ministry of Innovation and Technology), the National Research, Development and Innovation (NRDI) Fund, Hungarian Government. He received a Ph.D. in informatics from the Doctoral School of Informatics, Eötvös Loránd University, Budapest, Hungary, with the Stipendium Hunagricum Scholarship funded by the Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, Co-Founded by the European Union Social Fund and the Government of Hungary, as a Professional Research Assistant in a real-time system from 2018 to 2021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, from 2021 to 2022. He has been awarded several Erasmus Scholarships for conducting international research and academic collaboration with European and non-European universities. He received the best Scientific Publication award from the faculty of informatics, Eötvös Loránd University, Budapest, Hungary, In the years 2021-2024. He has also been awarded the ÚNKP scholarship for research by the Ministry of Innovation and Technology and the National Research, Development and Innovation (NRDIO) Fund, Government of Hungary, 2021-2023. He has around ten years of experience in teaching and industry. He has over 150 scientific publications in the IEEE, Elsevier, Springer, IOP Science, Walter de Gruyter and MDPI. His research interests include data analytics, feature engineering, real-time systems, and educational informatics. He is a Life Member of ISTE, New Delhi, India. He is a member of the editorial board and a reviewer of various international journals and scientific conferences. He was the leading Guest Editor of the Special Issue Advancement in Machine Learning and Applications in Mathematics, IF- 2.25, MDPI, Basel, Switzerland, in 2022. He was also a guest editor in two Springer journals. He is a co-editor in the series of conference proceedings of ICRIC-2021-24 published by Springer, Singapore. He reviews many scientific journals, including IEEE, Springer, Elsevier, Wiley, and MDPI. He has Scopus citations of 1578 with an H-index of 23. He has Web of Science citations of 322 with an H-index of 13.

Prof. Marcello Trovati obtained his PhD in Mathematics at the University of Exeter in 2007, specialising in theoretical dynamical systems with singularities, after which he accepted a position as algorithm tester and research specialist at a medium sized software development company. His main responsibility was to create, test and documents state-of-the-art statistical algorithms to analyse big datasets. He then moved to the newly created Dublin IBM Research Lab to carry out research mainly in the field of knowledge discovery, text mining, and mathematical modelling, where he gained valuable business and research experience through collaboration with several scientists both at IBM, and at academic institutions. He was involved in a number of research projects in collaboration with other IBM Research Centres and academic institutions. He then joined Coventry University to take up a position as Teaching Fellow, and subsequently the University of Derby as a lecturer, during which he was involved various multi-disciplinary projects focussing on mathematical modelling, algorithm design, and big data analytics. In 2016 Marcello joined the Computer Science Department at Edge Hill University as a senior lecturer and he was recently awarded a Professorship in Computer Science. He is involved in several research themes and projects. He is co-leading the STEM Data Research centre and is actively involved in the Productivity and Innovation Lab, aiming to collaborate and support SMEs in Lancashire. Marcello's main interests include: Mathematical Modelling, Data Science, Big Data Analytics, Network Theory, Machine Learning, Data and Text Mining.

Dr. Wei-Chiang Hong is currently a Professor with the College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China. His research interests mainly include computational intelligence (neural networks and evolutionary computation), application of forecasting technology (ARIMA, support vector regression, and chaos theory), and machine learning algorithms. He serves as the program committee for various international conferences including premium ones such as IEEE CEC, IEEE CIS, IEEE ICNSC, IEEE SMC, IEEE CASE, and IEEE SMCia. He has published 150+ articles in journals and conferences of repute. He has a total of 10500 Google Scholar citations, h-index 50, and i-10 Index 105 in his account. He is a Senior Member of IEEE and has been awarded the Model Teacher Award by Taiwan Private Education Association. He is currently appointed as the Editor-in-Chief of the International Journal of Applied Evolutionary Computation, in addition, he serves as a Guest Editor for Energies, as an Associate Editor of the International Journal of System Dynamics Applications, and as a member of the editorial board for Applied Soft Computing, Computers & Industrial Engineering, and Energy Sources, Part B: Economics, Planning, and Policy.

Dr. Yashwant Singh 是中央大學計算機科學與信息技術系的教授及系主任，自2017年以來一直擔任該校的教職。此前，他在傑普信息技術大學工作了10年。Yashwant 在喜馬偕爾邦大學西姆拉獲得博士學位，並在旁遮普工程學院昌迪加爾完成研究生學習，及在SLIET Longowal完成本科學業。他的研究興趣包括物聯網、物聯網及嵌入式設備的脆弱性評估、無線傳感器網絡、安全且節能的路由、ICS/SCADA網絡安全，涵蓋從理論到設計再到實施的各個方面。他與計算機科學的其他多個學科的研究人員積極合作，特別是在機器學習和電氣工程方面。Yashwant 曾擔任三十個國際會議和研討會的程序委員會成員，並擔任PDGC-2014、ICRIC-2018、ICRIC-2019、ICRIC-2020和ICRIC-2021的總主席。他目前擔任由DRDO設立的中央大學計算科學與技術中心（KCST）計算系統安全垂直領域的協調員。Yashwant 在國際期刊、國際會議和知名書籍章節上發表了超過100篇研究論文，這些論文均被SCI和SCOPUS索引。他的Google Scholar引用次數為2278，i10指數為60，h指數為25。他擁有來自DRDO的價值1040.9413萬盧比的研究項目，以及來自NCW的121.9萬盧比的資助。他指導了4名博士生和24名碩士生，並正在指導4名博士生和5名碩士生。他曾訪問8個國家進行學術交流，例如英國、德國、波蘭、捷克共和國、匈牙利、斯洛伐克、奧地利和羅馬尼亞。他是波蘭波爾科維采的Jan Wyzykowski大學的訪問教授。

Dr. Chaman Verma 是厄爾特大學信息學院媒體與教育信息學系的助理教授。他還是由匈牙利國家研究、發展與創新（NRDI）贊助的項目的項目負責人和首席研究員。他還因其新穎研究獲得了EKÖP、NRDI基金和匈牙利政府贊助的年輕教育者獎學金。他在匈牙利布達佩斯的厄爾特大學信息學院進行了博士後研究，該研究由UNKP、MIT（創新與技術部）、國家研究、發展與創新（NRDI）基金和匈牙利政府贊助。他在厄爾特大學信息學博士學院獲得信息學博士學位，並獲得了由匈牙利政府的Tempus公共基金會資助的Stipendium Hungaricum獎學金。在攻讀博士學位期間，他獲得了由歐盟社會基金和匈牙利政府共同資助的EFOP獎學金，作為專業研究助理在實時系統中工作，時間為2018年至2021年。他還在2021年至2022年期間獲得了匈牙利政府Tempus公共基金會的Stipendium Hungaricum論文獎學金。他曾獲得多個Erasmus獎學金，以進行國際研究和與歐洲及非歐洲大學的學術合作。他在2021-2024年期間獲得了厄爾特大學信息學院的最佳科學出版物獎。他還獲得了匈牙利創新與技術部和國家研究、發展與創新（NRDI）基金贊助的ÚNKP研究獎學金，時間為2021-2023年。他在教學和行業方面擁有約十年的經驗。他在IEEE、Elsevier、Springer、IOP Science、Walter de Gruyter和MDPI上發表了超過150篇科學出版物。他的研究興趣包括數據分析、特徵工程、實時系統和教育信息學。他是印度新德里的ISTE終身會員。他是多個國際期刊和科學會議的編輯委員會成員和審稿人。他在2022年擔任了MDPI瑞士巴塞爾的《數學中的機器學習與應用進展》特刊的主編。他還在兩本Springer期刊中擔任客座編輯。他是由Springer新加坡出版的ICRIC-2021-24會議論文集的共同編輯。他審稿了許多科學期刊，包括IEEE、Springer、Elsevier、Wiley和MDPI。他的Scopus引用次數為1578，h指數為23。他的Web of Science引用次數為322，h指數為13。

Prof. Marcello Trovati 於2007年在埃克塞特大學獲得數學博士學位，專攻具有奇異性的理論動力系統，之後他在一家中型軟件開發公司擔任算法測試員和研究專家。他的主要責任是創建、測試和記錄最先進的統計算法，以分析大型數據集。隨後，他轉到新成立的都柏林IBM研究實驗室，主要從事知識發現、文本挖掘和數學建模的研究，並通過與IBM及學術機構的多位科學家的合作獲得了寶貴的商業和研究經驗。他參與了與其他IBM研究中心和學術機構的多個研究項目。之後，他加入考文垂大學擔任教學研究員，隨後在德比大學擔任講師，期間參與了多個專注於數學建模、算法設計和大數據分析的多學科項目。2016年，Marcello 加入邊緣山大學計算機科學系，擔任高級講師，最近被授予計算機科學教授職位。他參與了多個研究主題和項目，並共同領導STEM數據研究中心，積極參與生產力和創新實驗室，旨在與蘭開夏的中小企業合作和支持。Marcello的主要興趣包括：數學建模、數據科學、大數據分析、網絡理論、機器學習、數據和文本挖掘。

Dr. Wei-Chiang Hong 目前是中國哈爾濱工程大學船舶工程學院的教授。他的研究興趣主要包括計算智能（神經網絡和進化計算）、預測技術的應用（ARIMA、支持向量回歸和混沌理論）以及機器學習算法。他擔任多個國際會議的程序委員會成員，包括IEEE CEC、IEEE CIS、IEEE ICNSC、IEEE SMC、IEEE CASE和IEEE SMCia等高端會議。他在知名期刊和會議上發表了150多篇文章。他的Google Scholar引用總數為10500，h指數為50，i-10指數為105。他是IEEE的高級會員，並獲得了台灣私立教育協會的模範教師獎。他目前擔任《應用進化計算國際期刊》的主編，此外還擔任《能源》期刊的客座編輯、《系統動力學應用國際期刊》的副編輯，以及《應用軟計算》、《計算機與工業工程》和《能源來源B：經濟、規劃與政策》的編輯委員會成員。