Proceedings of the 9th International Conference on Information Communication and Management最新文献

Ontological Model for the Semantic Description of Syllabuses 教学大纲语义描述的本体模型

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357442

Mariela Tapia-León, Carlos Aveiga, Janneth Chicaiza, M. Suárez-Figueroa

引用次数: 5

A Study on Visualization of Technology Transfer using Distance based Patent Network Analysis 基于距离的专利网络分析技术转移可视化研究

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357448

Juhyun Lee, Junseok Lee, J. Kang, Sangsung Park, Sunghae Jun, Dong-Sik Jang

{"title":"A Study on Visualization of Technology Transfer using Distance based Patent Network Analysis","authors":"Juhyun Lee, Junseok Lee, J. Kang, Sangsung Park, Sunghae Jun, Dong-Sik Jang","doi":"10.1145/3357419.3357448","DOIUrl":"https://doi.org/10.1145/3357419.3357448","url":null,"abstract":"Technology transfer refers to the transfer of patents from legal holders to others through joint research, mergers and acquisitions. Transferred patents apply to IP-R&D of received companies. In particularly, companies actively carrying out technology transfer construct a patent portfolio strategy through it. Recently, companies that building patent portfolio strategy explore similar technologies to protect theirs. In past, a qualitative method has been used for the above process. However, the method consumes a lot of time and money. Therefore, in this study, we propose a method to discover patents similar to each other by using data mining. Also visualizing the patent portfolio strategy through the information of those patents. To do this, we collected Google's patents for conducting a case study. Collected patents were projected onto a semantic space through a distributed representation of documents. It then used the distance information of the projected patents to draw the network. As a result, it was possible to visualize Google's patent portfolio strategy.","PeriodicalId":261951,"journal":{"name":"Proceedings of the 9th International Conference on Information Communication and Management","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114534456","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

Controlling Electrical Equipment Smart Home System Using Wireless Network Incorporating Internet of Things 结合物联网的无线网络控制电气设备智能家居系统

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357435

Busarin Eamthanakul, Orrawan Rewthong, S. Sansiribhan

引用次数: 0

What Number of Features is Optimal: A New Method Based on Approximation Function for Stance Detection Task 多少特征是最优的:一种基于近似函数的姿态检测新方法

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357430

S. Vychegzhanin, E. Razova, E. Kotelnikov

{"title":"What Number of Features is Optimal: A New Method Based on Approximation Function for Stance Detection Task","authors":"S. Vychegzhanin, E. Razova, E. Kotelnikov","doi":"10.1145/3357419.3357430","DOIUrl":"https://doi.org/10.1145/3357419.3357430","url":null,"abstract":"Selecting a text representation model faces a crucial problem of choosing an optimal number of features. The optimality criterion is the minimum number of features, which allows to achieve (or preserve) the maximum performance. The article suggests a new method of determining the optimal number of features, in which both components of the optimality criterion are taken into consideration. Using the proposed method, we first construct the dependence of task performance on the number of features, then the obtained dependence is approximated on the basis of Weibull distribution function, and the optimal number of features is determined by analyzing the growth rate of this function. We called this method DOFNAF (Determining the Optimal Feature Number by the Approximating Function). The proposed method is tested on stance detection task, consisting in identifying the position (\"for\" or \"against\"), which the author of the text supports towards the object (or objects) under discussion. The comparison involves constant methods, a method based on the function of the total number of features, a method of performance maximum, as well as Recursive Feature Elimination with Cross-Validation (RFECV) and Correlation-based Feature Selection (CFS) methods. The DOFNAF method allows to determine the minimum number of features compared with the existing methods and at the same time to maintain the classification performance.","PeriodicalId":261951,"journal":{"name":"Proceedings of the 9th International Conference on Information Communication and Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132117237","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: 6

Rainbow Colorings on WK-recursive Pyramids wk -递归金字塔上的彩虹着色

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357431

Fu-Hsing Wang, Cheng-Ju Hsu

引用次数: 0

Software Engineering in Medical Informatics: A Systematic Literature Review 医学信息学中的软件工程:系统文献综述

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357444

Gonca Gokce Menekse Dalveren, Deepti Mishra

引用次数: 1

Patients' Acceptance of Information Published by Physicians in Online Health Communities: An Empirical Study 在线健康社区中医生发布信息的患者接受度:一项实证研究

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357423

Xinyi Lu, Runtong Zhang

{"title":"Patients' Acceptance of Information Published by Physicians in Online Health Communities: An Empirical Study","authors":"Xinyi Lu, Runtong Zhang","doi":"10.1145/3357419.3357423","DOIUrl":"https://doi.org/10.1145/3357419.3357423","url":null,"abstract":"By means of obtaining health-related information published by physicians in online health communities (OHCs), patients are able to diagnose some simple diseases by themselves and then save queueing time, which can help optimize the allocation of medial resources and alleviate hospitals' congestion to a certain extent, However, some patients may be hesitant to adopt this information because of its shortcomings. This study established a research model based on the unified theory of acceptance and use of technology to examine patients' acceptance of information published by physicians in OHCs. An online survey involving 453 Chinese participants was conducted to collect data, and 378 (83.4%) were valid. Structural equation modelling and partial least squares were adopted to analyze data and test hypotheses Results reveal that performance expectancy, social influence and attitude toward using technology positively influence their behavioral intention and ultimately influence usage behavior of adopting information in OHCs. Our findings suggest that OHCs should inspire the intention of users to use information in OHCs, enhance the management of information, strengthen OHCs' reputation to increase social influence, and improve the service level of OHCs.","PeriodicalId":261951,"journal":{"name":"Proceedings of the 9th International Conference on Information Communication and Management","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134041267","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

An Integrated Model of Technical and Non-Technical Perspectives on Managing IoT Security 管理物联网安全的技术和非技术视角集成模型

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357450

M. Suryanegara, Nur Hayati

引用次数: 2

A Recommendation Model for Medical Data Visualization Based on Information Entropy and Decision Tree Optimized by Two Correlation Coefficients 基于信息熵和双相关系数优化决策树的医疗数据可视化推荐模型

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357436

Huishan Huang, Runtong Zhang, Xinyi Lu

{"title":"A Recommendation Model for Medical Data Visualization Based on Information Entropy and Decision Tree Optimized by Two Correlation Coefficients","authors":"Huishan Huang, Runtong Zhang, Xinyi Lu","doi":"10.1145/3357419.3357436","DOIUrl":"https://doi.org/10.1145/3357419.3357436","url":null,"abstract":"Medical practitioners usually have difficulties in obtaining information effectively from massive data due to limited time and energy. This paper proposes a novel recommendation model for medical data visualization based on decision tree and information entropy optimized by two correlation coefficients, that is, Pearson's correlation coefficient and Kendall's correlation coefficient(P&K.CC). After investigating visualization techniques under different medical scenarios, we construct a medical domain knowledge-based decision tree which employs two correlation coefficients as new measures of feature quality to confirm the optimal splitting attributes and points in its growth, as well as prioritize the medical datasets based on improved information entropy. Finally, in contrast to several traditional decision tree classifiers, the results indicated that the proposed method achieves a better accuracy of the scenario classification of medical data. At the same time, the method can find the datasets that perform better in knowledge presentation and visualization.","PeriodicalId":261951,"journal":{"name":"Proceedings of the 9th International Conference on Information Communication and Management","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116606066","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: 4

Success of Smart Cities Development with Community's Acceptance of New Technologies: Thailand Perspective 智慧城市发展的成功与社区对新技术的接受:泰国视角

Proceedings of the 9th International Conference on Information Communication and Management Pub Date : 2019-08-23 DOI: 10.1145/3357419.3357440

Wornchanok Chaiyasoonthorn, Bilal Khalid, Singha Chaveesuk

引用次数: 23