{"title":"Construction of an Online Education Platform Based on SOA Architecture and Multimedia Technology","authors":"T. He, Abdul Rahman, A. R. Farooqi","doi":"10.4018/ijec.304029","DOIUrl":"https://doi.org/10.4018/ijec.304029","url":null,"abstract":"With the deepening of basic education information work, the establishment of regional basic teaching platform, in order to integrate educational resources, unified teaching platform, centralized management of teaching information, education information development is an urgent matter. In view of the above situation, the multimedia teaching system for primary and secondary schools is designed and implemented based on the actual project requirements. In view of the characteristics of wide distribution and many applications of multimedia teaching platform in primary and secondary schools, the current mainstream architecture is adopted to realize the efficient application, flexible expansion and convenient maintenance of the system through centralized management and distributed deployment.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"46 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86704177","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}
{"title":"Application Analysis of RFID in Library Automation Management","authors":"Xihong Li","doi":"10.4018/ijec.304038","DOIUrl":"https://doi.org/10.4018/ijec.304038","url":null,"abstract":"In order to provide readers with the location information of books quickly and accurately, simplify the book borrowing process and improve the borrowing efficiency, RFID technology is introduced into the library. In this paper, based on the overall architecture of RFID library intelligent bookshelf system, through the indoor positioning algorithm, from the actual needs of the intelligent bookshelf system for book positioning, the RFID indoor positioning algorithm is selected. The simulation and performance analysis of the experimental data show that the average positioning error is the smallest when the number of nearest neighbor tags is 8, and the average positioning error of 100 times is 0.0239m.Conclusion: this method has a very high application value and provides a useful reference solution for the development of current book positioning system and intelligent shelf system.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"75 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86921235","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}
{"title":"A Method for the Reconstruction of Myocardial Fiber Structure in Diffusivity Adaptive Imaging Based on Particle Filter","authors":"Jun Yin, Xuan Gao, Min Wu, Yan Liang","doi":"10.4018/ijec.304033","DOIUrl":"https://doi.org/10.4018/ijec.304033","url":null,"abstract":"In order to explore the cause of characteristic change and pathological variation of myocardial fiber structure, the posterior probability distribution of fiber direction was described. To solve the problems of low computational efficiency and slow convergence of traditional particle filter, an adaptive particle filter myocardial fiber reconstruction algorithm based on diffusion anisotropy is proposed. This algorithm dynamically adjusts the number of particles and the disturbance intensity at the prediction stage according to the diffusion anisotropy values at different body elements. While ensuring the quality of state estimation, the computational complexity of the algorithm is reduced and the operating efficiency of the system is significantly improved. The experimental results show that the proposed method has strong anti-noise ability. While improving the accuracy of fiber reconstruction, the computational cost of the system decreases by 50%, which significantly improves the efficiency of the system. The proposed algorithm is good over traditional PF and STL approaches.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"43 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90805143","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}
{"title":"Prognostic of Soil Nutrients and Soil Fertility Index Using Machine Learning Classifier Techniques","authors":"B. Swapna, S. Manivannan, M. Kamalahasan","doi":"10.4018/ijec.304034","DOIUrl":"https://doi.org/10.4018/ijec.304034","url":null,"abstract":"Soil testing is a unique tool for finding the available soil reaction (pH), organic carbon, and nutrients status of the soil. It helps to select the suitable crops concerning available pH and soil nutrients level to increase crop production. In this current approach, the soil test prediction is used to differentiate several soil features like soil fertility indices of available pH, organic carbon, electrical conductivity, macro nutrients, and micro nutrients. The Classification and prediction of the soil parameters lead to reduce the artificial fertilizer inputs, increasing crop yield, improves soil health and crop growth and increase profitability. These problems are solved by using fast learning and classification techniques known as machine learning (ML) classifier techniques such as random forest, Gaussian naïve Bayes, logistic Regression, decision tree, k-nearest neighbour and support vector machine. After the analysis decision tree classifier attains the maximum performance to solve all problems which goes above 80% followed by other classifiers.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"53 21","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91455587","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}
{"title":"Collaborative Writing Tools for Predicting Verb Tense Using Syntax Parsing on Learning Networks","authors":"E. Mohammed, Z. A. Abutiheen, H. Hussein","doi":"10.4018/ijec.304042","DOIUrl":"https://doi.org/10.4018/ijec.304042","url":null,"abstract":"Collaborative writing tools and Natural language processing are plays a vital role in learning networks. These tools are involved with the dealings among computer systems and human languages. It processes the data through syntax analysis, parsing and lexical analysis, and etc. Syntax analysis is used for syntactic parsing deals with the syntactic structure of a sentence. The collaborative writing tools and natural language processing applications are used for verb tense prediction and it it encodes the temporal order of activities in a sentence. Recognizing the syntactic structure is beneficial in identifying the means of a sentence. The model in this paper is introduced to predict verb tense based on lexical and syntactic features. This model works on English articles, every article will be split to sentences using the tokenization process. Every token in sentences will be analyzed and model will parse the sentences the use of tenses algorithms that represent grammar rules of the English language. This model is given precise accuracy when it is examined on articles/ stories.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"198 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87208770","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}
{"title":"Minimization of Energy Holes With Lively Bonding and the Division of Coverage","authors":"C. Nayak, Satyabrata Das","doi":"10.4018/ijec.304031","DOIUrl":"https://doi.org/10.4018/ijec.304031","url":null,"abstract":"Gathering the useful information or data from the sensor nodes is the main purpose of WSN. Consumption of energy varies from one node to another node since the data present in the network goes through one or many sensor nodes. As a result of this, the node containing excess load might lose its battery power supply and will cease to function. If the same scenario occurs to a group of neighboring nodes, then all the nodes fall into a stage of premature death which results in the formation of energy-hole within the network. Due to this, the network’s lifetime gets affected and might get over very soon. The above said issue is identified as the key problem in the work. The projected method aims maximization of coverage by enhancing the detection range of remaining nodes to minimize energy holes using the lively bonding and the division of coverage. The projected method increases the lifetime as compared to the existing protocols.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"13 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86686521","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}
{"title":"Does Gratification Value Influence the Usage Intention of Facebook?: A Multimodal Mediation Examination of Satisfaction and Habit","authors":"Md. Shamim Hossain, Ruhul Amin, Nusrat Jahan","doi":"10.4018/ijec.305234","DOIUrl":"https://doi.org/10.4018/ijec.305234","url":null,"abstract":"The study explores the dimensions of gratification value and its effects on user satisfaction and continued usage intentions, along with the influence of social pressure and habits in a Facebook context. We collected 253 survey data and analyzed by structural equation modeling. Our study shows that functional, hedonic, social presence, social interaction and media appeal are the prime dimensions of gratification value, which have a significant positive impact on user satisfaction and continued usage intentions, with social pressure as well. Satisfaction has a direct influence on continued usage intentions and habit, and plays an important mediating role in the model. This study will contribute to the knowledge of social media research and practitioners should focus these insights to increase user satisfaction and continued usage intentions of social media.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"7 1","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84445911","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}
{"title":"An Examination of the Influences of Habit, Compatibility, and Experience on the Continued Use of Short-Form Video-Sharing Services: A Case of TikTok","authors":"I. A. Ambalov","doi":"10.4018/ijec.304371","DOIUrl":"https://doi.org/10.4018/ijec.304371","url":null,"abstract":"Short-form video-sharing services (SVSs) have rapidly grown in popularity in the recent years. Some evidence suggests that because users can quickly and easily create and consume on-demand content, SVSs are addictive, and they appeal to a wide audience. The literature describing this phenomenon is scant. In order to fill this gap, this study examines the roles of habit and compatibility on SVS continuance intention and the interaction of these relationships with user experience, using TikTok as a context. To this goal, data collected from 157 university-student TikTok users are analyzed using structural equation modeling to determine whether these factors shape their continuance decisions. The findings show that habit and compatibility positively affect continuance intention, while experience does not. The paper offers practical steps to increase continuance intention of current users. This study enhances SVS research by confirming that habit and compatibility are important influences on continuance usage decisions.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"16 1","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78356177","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}
{"title":"Modeling Characteristics in the Design of E-Collaboration Systems","authors":"Wang Ye, Song Shizhe, Jiang Bo, Junwu Chen","doi":"10.4018/ijec.299004","DOIUrl":"https://doi.org/10.4018/ijec.299004","url":null,"abstract":"Among the many ways to do business, e-collaboration system is gradually widely used by virtue of its advantages. Yet, designing e-collaboration systems still proves to be a great challenge due to the incomplete and inaccurate design specifications. This paper presents a characteristic modeling approach to facilitate e-collaboration system design. This approach transforms e-collaboration requirements descriptions into four types of design models. The coordination, communication, collaboration, and connectivity characteristics of e-collaborative systems are firstly addressed in these design models. In general, these models are designed to provide a more comprehensive and accurate system specification than the original requirement descriptions. The approach intends to provide a systematical approach for modeling e-collaboration processes to support e-collaboration systems design.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"52 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88296058","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}
{"title":"A Meta-Analytical Review on the Effect of Twitter Use in Education","authors":"Zhonggen Yu, Liheng Yu","doi":"10.4018/IJeC.290295","DOIUrl":"https://doi.org/10.4018/IJeC.290295","url":null,"abstract":"","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"137 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79723028","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}