2017 2nd International Conference on Information Technology (INCIT)最新文献_第2页

A method of rehabilitation training for finger pair movement based on multi — Leap motions 一种基于多跃动作的手指对运动康复训练方法

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257886

Xiongyi Wei, Yanyan Huang, Zhengyu Wu, Chong Tang

引用次数: 0

A comparative study of ensemble back-propagation neural network for the regression problems 集成反向传播神经网络在回归问题中的比较研究

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257853

Jesada Kajornrit, Piyanuch Chaipornkaew

引用次数: 2

Web-based hybrid virtualization laboratory to facilitate network learning: HVLab 促进网络学习的基于web的混合虚拟化实验室:HVLab

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257876

Wu-Yuin Hwang, Michaele Haregot, Chaknarin Kongcharoen

{"title":"Web-based hybrid virtualization laboratory to facilitate network learning: HVLab","authors":"Wu-Yuin Hwang, Michaele Haregot, Chaknarin Kongcharoen","doi":"10.1109/INCIT.2017.8257876","DOIUrl":"https://doi.org/10.1109/INCIT.2017.8257876","url":null,"abstract":"Teaching computer networks is one of the core topics in computer science curricula for undergraduate students. Recently, a network emulator has been used for teaching students to configure network devices, such as routers and switches, to practice in real network configuration scenarios without purchasing network hardware. Previous studies usually used standalone emulators to facilitate individual network learning. However, few studies applied collaboration in network learning. In this study, we proposed a web-based Hybrid Virtualization Laboratory (HVLab), which integrates network emulators and virtualization technology. The HVLab can support multiple network configuration scenarios (network emulators) for students to practice. Meanwhile, HVLab also implement collaborative mechanism to facilitate discussion among the experimental students. After experiment, the statistical results showed that the post-test scores of experimental group were higher than the control group. In addition, they outperform the control groups in homework and in-class assignment, especially when experimental students become more familiar with HVLab and know how to get benefit from collaboration using HVlab. Furthermore, the experimental students perceived that was easy to use the HVLab and useful for accomplishing assignment and homework. Most of the students also expressed they were highly motivated to use HVLab as learning tool in the future. Finally, the observation and questionnaire with experimental group showed that collaboration in HVLab was potentially helpful during the experiment.","PeriodicalId":405827,"journal":{"name":"2017 2nd International Conference on Information Technology (INCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128991312","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

VRFiWall virtual reality edutainment for firewall security concepts VRFiWall虚拟现实娱乐防火墙安全概念

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257864

N. Puttawong, V. Visoottiviseth, J. Haga

引用次数: 10

Relationship extraction from Thai children's tales for generating illustration 从泰国儿童故事中提取关系生成插图

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257868

Sakda Boonpa, S. Rimcharoen, Thatsanee Charoenporn

引用次数: 4

Durian cultivar recognition using discriminant function 利用判别函数识别榴莲品种

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257887

Fuangfar Pensiri, Porawat Visusak

引用次数: 7

Extending MedThaiVis-Thai medical research visualization to SAGE2 display walls 将medthaivis -泰国医学研究可视化扩展到SAGE2显示墙

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257872

J. Mitrpanont, Jirayu Roungsuriyaviboon, Thada Sathapornwatanakul, Wudhichart Sawangphol, Dylan Kobayashi, J. Haga

引用次数: 3

Developing virtual environments for older users: Case studies of virtual environments iteratively developed for older users and people with dementia 为老年用户开发虚拟环境:为老年用户和痴呆症患者迭代开发虚拟环境的案例研究

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257867

Panote Siriaraya, C. Ang

引用次数: 8

Health risk analysis system for family caregiver of disabled person 残疾人家庭照顾者健康风险分析系统

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257871

Chalaruk Kritsanaphuti, Wannarat Lawang, U. Suksawatchon, J. Suksawatchon

{"title":"Health risk analysis system for family caregiver of disabled person","authors":"Chalaruk Kritsanaphuti, Wannarat Lawang, U. Suksawatchon, J. Suksawatchon","doi":"10.1109/INCIT.2017.8257871","DOIUrl":"https://doi.org/10.1109/INCIT.2017.8257871","url":null,"abstract":"The nursing care for family caregiver of disabled person is an important task for long-term care, since the caring people with disabilities is the difficult and hard task. In this paper, the Health Risk Analysis System or HRAS is introduced for identifying the health risk level in three aspects — are mental, physical, and social health aspects, and provides the intervention according to the health risk level. The HRAS is the client-server system. The HRAS client runs on web-based application to collect the health data via online questionnaire and shows the analysis results. The collected health data are transmitted to the server to assess the health risk level by using the proposed classifier named Risk Analysis Classifier or RAC. The classification algorithm and rule-based classifier are used to build the RAC. The RAC is evaluated using k-fold cross validation and the expert with annotated health data and unseen data. The evaluation results found that Neural Network does the best performance overall which it achieves the accuracy above 90% in all health data sets. Thus, the Neural Network is the most suitable classifier for this work. In addition, the HRAS has been deployed and collected the user experience via formal survey. These survey results demonstrate that the system provides high accuracy assessment and very utilization in several aspects.","PeriodicalId":405827,"journal":{"name":"2017 2nd International Conference on Information Technology (INCIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129040299","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

Isarn digit speech recognition using HMM 基于HMM的Isarn数字语音识别

2017 2nd International Conference on Information Technology (INCIT) Pub Date : 2017-11-01 DOI: 10.1109/INCIT.2017.8257882

Sasithron Sangjamraschaikun, Pusadee Seresangtakul

引用次数: 4