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Echo State Network-Based Content Prediction for Mobile Edge Caching Networks 基于回声状态网络的移动边缘缓存网络内容预测
Int. J. Inf. Technol. Web Eng. Pub Date : 2023-02-03 DOI: 10.4018/ijitwe.317219
Zengyu Cai, Xi Chen, Jianwei Zhang, Liang Zhu, Xinhua Hu
{"title":"Echo State Network-Based Content Prediction for Mobile Edge Caching Networks","authors":"Zengyu Cai, Xi Chen, Jianwei Zhang, Liang Zhu, Xinhua Hu","doi":"10.4018/ijitwe.317219","DOIUrl":"https://doi.org/10.4018/ijitwe.317219","url":null,"abstract":"With the rapid development of internet communication and the wide application of intelligent terminal, moving the cache to the edge of the network is an effective solution to shorten the delay of users accessing content. However, the existing cache work lacks the comprehensive consideration of users and content, resulting in low cache hit ratio and low accuracy of the whole system. In this paper, the authors propose a collaborative caching model that considers both user request content and content prediction, so as to improve the caching performance of the whole network. Firstly, the model uses the clustering algorithm based on Akike information criterion to cluster users. Then, combined with the clustering results, echo state network is used as the machine learning framework to predict the content. Finally, the cache contents are selected according to the prediction results and cached in the cache unit of the small base station. Simulation results show that compared with the existing cache algorithms, the proposed method has obvious improvement in cache hit ratio, accuracy, and recall rate.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116518193","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
Influence of Agriculture M(i) Services on Rice Planting Costs on Chinese Family Farms 农业M(i)服务对中国家庭农场水稻种植成本的影响
Int. J. Inf. Technol. Web Eng. Pub Date : 2023-01-20 DOI: 10.4018/ijitwe.316879
Zhang Cheng, Nianjia Hu
{"title":"Influence of Agriculture M(i) Services on Rice Planting Costs on Chinese Family Farms","authors":"Zhang Cheng, Nianjia Hu","doi":"10.4018/ijitwe.316879","DOIUrl":"https://doi.org/10.4018/ijitwe.316879","url":null,"abstract":"Through a questionnaire survey on family farms in Chongqing, Shaanxi, Henan, Liaoning, and other provinces and cities, the authors compared and analyzed the factor importance ranking results of three models—multiple linear regression, SNA social network, and multi-layer perceptron neural network—indicating that different research methods have different calculation results. The results are similar and consistent, and the role of agricultural mechanization and informatization services in the three stages of rice planting—harvesting, plowing, and sowing—is significant. The high use of agricultural machinery services during the harvesting, tillage, and sowing stages of rice planting can reduce the cost of rice planting on family farms.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124013292","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 Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge: A Framework and Case Implementation 处理多语言知识的语义和智能框架:框架和案例实现
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.314571
Mariem Neji, F. Ghorbel, Bilel Gargouri, N. Mimouni, Elisabeth Métais
{"title":"A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge: A Framework and Case Implementation","authors":"Mariem Neji, F. Ghorbel, Bilel Gargouri, N. Mimouni, Elisabeth Métais","doi":"10.4018/ijitwe.314571","DOIUrl":"https://doi.org/10.4018/ijitwe.314571","url":null,"abstract":"The authors propose a semantic and smart assistance framework for handling linguistic knowledge, called LingFramework. It targets both expert and novice users. It aims to assist the user in understanding the different aspects of the linguistic domain and ease the process of proposing lingware applications. LingFramework is based on a multilingual linguistic domain ontology called LingOnto. It allows (1) representing linguistic data, linguistic processing functionalities and linguistic processing features, and (2) reasoning, via a SWRL-based reasoning engine, about the linguistic knowledge. Currently, it covers English, French, and Arabic languages. To facilitate the interaction with LingOnto, an ontology visualization tool called LingGraph is proposed. It offers an easy-to-use interface for users not familiar with ontologies. It provides a SPARQL pattern-based approach to allow a smart search interaction functionality. LingFramework is applied to assist the user in identifying valid linguistic processing pipelines related to lingware applications. The evaluation results are promising.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"1090 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116038214","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
Development of Mobile Learning English Web Application: Adoption of Technology in the Digital Teaching and Learning Framework 移动学习英语Web应用的开发:数字化教与学框架下技术的应用
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.313571
Meennapa Rukhiran, Arpaporn Phokajang, P. Netinant
{"title":"Development of Mobile Learning English Web Application: Adoption of Technology in the Digital Teaching and Learning Framework","authors":"Meennapa Rukhiran, Arpaporn Phokajang, P. Netinant","doi":"10.4018/ijitwe.313571","DOIUrl":"https://doi.org/10.4018/ijitwe.313571","url":null,"abstract":"E-learning has become an important part of distance education to comprehend students' skills and knowledge during the COVID-19 pandemic. The adoption of e-learning for kindergarten children is a challenging key for design and development that must be involved in parental care during the use of e-learning. This research aims to design and evaluate a digital learning English system based on a web application for kindergarten students who require additional attention from instructors and parents. The study investigates students' learning achievement and end-user perceptions based on the extended technology acceptance model. The results contribute and confirm a significant positive to technology adoption of the digital teaching and learning framework by offering real-time learning, assessments, achievement records, and learning session activities using web applications on mobile. Perceived ease of use, perceived usefulness, and attitude positively influence behavioral intention to use the proposed learning web application.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123951316","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: 3
A New Internet of Things (IoT) Framework for Public Sectors 面向公共部门的新物联网(IoT)框架
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.2139/ssrn.4247828
S. Alotaibi
{"title":"A New Internet of Things (IoT) Framework for Public Sectors","authors":"S. Alotaibi","doi":"10.2139/ssrn.4247828","DOIUrl":"https://doi.org/10.2139/ssrn.4247828","url":null,"abstract":"Due to tremendous technological improvements, over the past several years the world has witnessed, and continues to witness, digitalization, which has received a wealth of attention. Technology and connectivity have made it possible for many technologies and pieces of software to be connected, which has subsequently made it possible to communicate without a human being directly involved. The internet of things (IoT) is a phenomenon that has gained much popularity since its inception in 2009 and which has become a crucial component in real-life applications. In order to understand how the internet of things (IoT) might be used to improve the many aspects of the public sector, as well as its limits, this paper explores the many definitions of IoT in relation to its use in the public sector and focuses on designing a new framework that can be used as a guideline of using IoT in public sectors in diverse international contexts.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121587844","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
Multi-Objective Optimization-Oriented Resource Allocation in the Fog Environment: A New Hybrid Approach 雾环境下面向多目标优化的资源分配:一种新的混合方法
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.297969
S. Harika, C. Krishna
{"title":"Multi-Objective Optimization-Oriented Resource Allocation in the Fog Environment: A New Hybrid Approach","authors":"S. Harika, C. Krishna","doi":"10.4018/ijitwe.297969","DOIUrl":"https://doi.org/10.4018/ijitwe.297969","url":null,"abstract":"Fog computing is a decentralized computer system where data, processing, storage, as well as applications are located anywhere between the cloud and data source. Fog computing takes the cloud closer to users, decreasing the latency and allows the deployment of new delay-sensitive appliances. An important feature of a fog-cloud network is the process of decision-making on assigning the resources to execute the tasks of application. This paper aims to propose a resource allocation strategy for fog computing that determines the effective process under the consideration of the objectives that includes the constraints like credibility score, concurrency, price affordability and task time computation. Moreover, the credibility score is determined based on the execution efficiency, Service response rate, access reliability and Reboot rate. Thereby, the optimal allocation of resources is handled by a new Hybrid Monarch-Dragon Algorithm (HM-DA) that hybrids the concept of Dragonfly Algorithm (DA) and Monarch Butterfly Optimization (MBO) algorithm.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802336","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
Relationship Between Personality Patterns and Harmfulness: Analysis and Prediction Based on Sentence Embedding 人格模式与危害性的关系:基于句子嵌入的分析与预测
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.298654
Kazuyuki Matsumoto, Ryota Kishima, S. Tsuchiya, Tomoki Hirobayashi, Minoru Yoshida, K. Kita
{"title":"Relationship Between Personality Patterns and Harmfulness: Analysis and Prediction Based on Sentence Embedding","authors":"Kazuyuki Matsumoto, Ryota Kishima, S. Tsuchiya, Tomoki Hirobayashi, Minoru Yoshida, K. Kita","doi":"10.4018/ijitwe.298654","DOIUrl":"https://doi.org/10.4018/ijitwe.298654","url":null,"abstract":"This paper hypothesize that harmful utterances need to be judged in context of whole sentences, and extract features of harmful expressions using a general-purpose language model. Based on the extracted features, we propose a method to predict the presence or absence of harmful categories. In addition, the authors believe that it is possible to analyze users who incite others by combining this method with research on analyzing the personality of the speaker from statements on social networking sites. The results confirmed that the proposed method can judge the possibility of harmful comments with higher accuracy than simple dictionary-based models or models using a distributed representations of words. The relationship between personality patterns and harmful expressions was also confirmed by an analysis based on a harmful judgment model.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131457011","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
Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology 基于区块链技术的电子商务管理自治交易模型
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304047
Sekar S., Annamalai Solayappan, Srimathi J., S. Raja, Durga S., Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze
{"title":"Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology","authors":"Sekar S., Annamalai Solayappan, Srimathi J., S. Raja, Durga S., Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze","doi":"10.4018/ijitwe.304047","DOIUrl":"https://doi.org/10.4018/ijitwe.304047","url":null,"abstract":"A blockchain is an advanced technology that can power over a decentralized network. The authors bring it up to design the autonomous transaction system for e-commerce applications; because of the dramatic increase in IoT devices, communication between physical things is enabled. This brings more efficiency and accuracy, which benefits the outsiders while human interaction reduces. There is a big challenge in data storage after payment in the e-commerce application. Blockchain presents an appropriate platform for the distributed data storage; it also protects the data from outsiders. The authors create blocks that check and record each transaction that took place in the e-commerce application. Blockchain is going to protect the user's privacy from outsiders/banks that are being violated. The authors deliver this research in this paper in terms of the method with detailed design and full implementation. The system captures the user data, processes it, and gives a visual representation of the processed data.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"65 5 Pt B 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131612605","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: 20
Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML 基于ML的多网络关联的Twitter好友推荐社交网络分析
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304050
Dharmendra Kumar Singh Singh, N. Nithya, L. Rahunathan, Preyal Sanghavi, Ravirajsinh Sajubha Vaghela, Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze
{"title":"Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML","authors":"Dharmendra Kumar Singh Singh, N. Nithya, L. Rahunathan, Preyal Sanghavi, Ravirajsinh Sajubha Vaghela, Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze","doi":"10.4018/ijitwe.304050","DOIUrl":"https://doi.org/10.4018/ijitwe.304050","url":null,"abstract":"The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details are given. The information gathered to make these predictions includes the user's friends, tags, tweets, language spoken, ID, etc. Based on these features, the authors trained their models using supervised learning methods. The machine learning-based approach used for this purpose is the k-nearest neighbor approach. This approach is by and large used to decrease the dimensionality of the information alongside its feature space. K-nearest neighbor classifier is normally utilized in arrangement-based situations to recognize and distinguish between a few parameters. By using this, the features of the central user's non-friends were compared. The friends and communities of a user are likely to be very different from any other user. Due to this, the authors select a single user and compare the results obtained for that user to suggest friends.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296850","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: 16
Predicting Academic Performance of Immigrant Students Using XGBoost Regressor 用XGBoost回归量预测移民学生学业成绩
Int. J. Inf. Technol. Web Eng. Pub Date : 2022-01-01 DOI: 10.4018/ijitwe.304052
Selvaprabu Jeganathan, Arunraj Lakshminarayanan, Nandhakumar Ramachandran, Godwin Brown Tunze
{"title":"Predicting Academic Performance of Immigrant Students Using XGBoost Regressor","authors":"Selvaprabu Jeganathan, Arunraj Lakshminarayanan, Nandhakumar Ramachandran, Godwin Brown Tunze","doi":"10.4018/ijitwe.304052","DOIUrl":"https://doi.org/10.4018/ijitwe.304052","url":null,"abstract":"The education sector has been effectively dealing with the prediction of academic performance of the Immigrant students since the research associated with this domain proves beneficial enough for those countries where the ministry of education has to cater to such immigrants for altering and updating policies in order to elevate the overall education pedagogy for them. The present research begins with analyzing varied educational data mining and machine learning techniques that helps in assessing the data fetched form PISA. It’s elucidated that XGBoost stands out to be the ideal most machine learning technique for achieving the desired results. Subsequently, the parameters have been optimized using the hyper parameter tuning techniques and implemented on the XGBoost Regressor algorithm. Resultant there is low error rate and higher level of predictive ability using the machine learning algorithms which assures better predictions using the PISA data. The final results have been discussed along with the upcoming future research work.","PeriodicalId":222340,"journal":{"name":"Int. J. Inf. Technol. Web Eng.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128824202","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: 2
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