{"title":"基于计算机网络工程的信息化优化管理探讨","authors":"薛晨光","doi":"10.37155/2717-5170-0603-59","DOIUrl":"https://doi.org/10.37155/2717-5170-0603-59","url":null,"abstract":"","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"6 3","pages":"174-176"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"http://ojs.omniscient.sg/index.php/eccs/article/download/34312/33253","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147904015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"基于虚拟化的云桌面管理平台设计要点与实现策略","authors":"刘杰华, 梁洁华","doi":"10.37155/2717-5170-0601-75","DOIUrl":"https://doi.org/10.37155/2717-5170-0601-75","url":null,"abstract":"","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"6 1","pages":"225-227"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147907720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CRM系统的个性化推荐引擎设计与实现","authors":"王 磊","doi":"10.37155/2717-5170-0607-44","DOIUrl":"https://doi.org/10.37155/2717-5170-0607-44","url":null,"abstract":"","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"6 7","pages":"130-132"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147877800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"云计算资源调度算法的研究与优化","authors":"周会团","doi":"10.37155/2717-5170-0607-4","DOIUrl":"https://doi.org/10.37155/2717-5170-0607-4","url":null,"abstract":"","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"6 7","pages":"10-12"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"http://ojs.omniscient.sg/index.php/eccs/article/download/38848/37766","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147877701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reviewer Acknowledgements for Computer and Information Science, Vol. 16, No. 3","authors":"Chris Lee","doi":"10.5539/cis.v16n3p36","DOIUrl":"https://doi.org/10.5539/cis.v16n3p36","url":null,"abstract":"Reviewer Acknowledgements for Computer and Information Science, Vol. 16, No. 3, 2023","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"1 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72643293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sadiku Aminu Sani, Amina Ibrahim, Abuhuraira Ado Musa, M. Dahiru, Muhammad Ahmad Baballe
{"title":"Drawbacks of Traditional Environmental Monitoring Systems","authors":"Sadiku Aminu Sani, Amina Ibrahim, Abuhuraira Ado Musa, M. Dahiru, Muhammad Ahmad Baballe","doi":"10.5539/cis.v16n3p30","DOIUrl":"https://doi.org/10.5539/cis.v16n3p30","url":null,"abstract":"Traditional methods for evaluating water quality have a number of drawbacks. They need expensive, specialized equipment as well as knowledgeable employees first. Second, data loss may result from human error. Thirdly, because people rather than algorithms will be analyzing the obtained data, these schemes cannot foresee future patterns. Additionally, changes in the characteristics of water may result from the sample transit process. Therefore, it is challenging to consistently check water quality using outdated monitoring techniques. The disadvantages of traditional environmental monitoring techniques have been covered in this study.","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"71 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83337061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Basra Farooq Dar, M. Nadeem, S. Khalid, Farzana Riaz, Yasir Mahmood, Ghias Hameed
{"title":"Improving the Classification Ability of Delegating Classifiers Using Different Supervised Machine Learning Algorithms","authors":"Basra Farooq Dar, M. Nadeem, S. Khalid, Farzana Riaz, Yasir Mahmood, Ghias Hameed","doi":"10.5539/cis.v16n3p22","DOIUrl":"https://doi.org/10.5539/cis.v16n3p22","url":null,"abstract":"Cancer Classification & Prediction Is Vitally Important for Cancer Diagnosis. DNA Microarray Technology Has Provided Genetic Data That Has Facilitated Scientists Perform Cancer Research. Traditional Methods of Classification Have Certain Limitations E.G. Traditionally A Proposed DSS Uses A Single Classifier at A Time for Classification or Prediction Purposes. To Increase Classification Accuracy, Reject Option Classifiers Has Been Proposed in Machine Learning Literature. In A Reject Option Classifier, A Rejection Region Is Defined and The Samples Fall in That Region Are Not Classified by The Classifier. The Unclassifiable Samples Are Rejected by Classifier in Order to Improve Classifier’s Accuracy. However, These Rejections Affect the Prediction Rate of The Classifier as Well. To Overcome the Problem of Low Prediction Rates by Increased Rejection of Samples by A Single Classifier, the “Delegating Classifiers” Provide Better Accuracy at Less Rejection Rate. Different Classifiers Such as Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), K Nearest Neighbor (KNN) Etc. Have Been Proposed. Moreover, Traditionally, Same Learner Is Used As “Delegated” And “Delegating” Classifier. This Research Has Investigated the Effects of Using Different Machine Learning Classifiers in Both of The Delegated and Delegating Classifiers, And the Results Obtained Showed That Proposed Method Gives High Accuracy and Increases the Prediction Rate.","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"43 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83301390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nghia T. Nguyen, Long Luu, Phuong Vo, Sang Nguyen, Cuong T. Do, Ngoc-Thanh Nguyen
{"title":"Reinforcement learning - based adaptation and scheduling methods for multi-source DASH","authors":"Nghia T. Nguyen, Long Luu, Phuong Vo, Sang Nguyen, Cuong T. Do, Ngoc-Thanh Nguyen","doi":"10.2298/csis220927055n","DOIUrl":"https://doi.org/10.2298/csis220927055n","url":null,"abstract":"Dynamic adaptive streaming over HTTP (DASH) has been widely used in video\u0000 streaming recently. In DASH, the client downloads video chunks in order from\u0000 a server. The rate adaptation function at the video client enhances the\u0000 user?s quality-of-experience (QoE) by choosing a suitable quality level for\u0000 each video chunk to download based on the network condition. Today networks\u0000 such as content delivery networks, edge caching networks, content centric\u0000 networks, etc. usually replicate video contents on multiple cache nodes. We\u0000 study video streaming from multiple sources in this work. In multi-source\u0000 streaming, video chunks may arrive out of order due to different conditions\u0000 of the network paths. Hence, to guarantee a high QoE, the video client needs\u0000 not only rate adaptation, but also chunk scheduling. Reinforcement learning\u0000 (RL) has emerged as the state-of-the-art control method in various fields\u0000 in recent years. This paper proposes two algorithms for streaming from\u0000 multiple sources: RL-based adaptation with greedy scheduling (RLAGS) and\u0000 RL-based adaptation and scheduling (RLAS). We also build a simulation\u0000 environment for training and evaluation. The efficiency of the proposed\u0000 algorithms is proved via extensive simulations with real-trace data.","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"95 1","pages":"157-173"},"PeriodicalIF":1.4,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80450473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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