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International Journal of Future Computer and Communication最新文献

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Text Region Extraction in High Contrasting Image 高对比度图像中的文本区域提取
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.499
Seokjun Kang, Daewoong Cha, Young Woo Kim, D. Han
{"title":"Text Region Extraction in High Contrasting Image","authors":"Seokjun Kang, Daewoong Cha, Young Woo Kim, D. Han","doi":"10.18178/IJFCC.2017.6.3.499","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.499","url":null,"abstract":"In this paper, a text region extraction system with high contrasting text images for self-driving cars is proposed. The maximally stable extremal regions (MSER) method is usually used to extract text regions. Images must be converted to grayscale to process with the MSER method. However, the performance of MSER by using grayscale images has a poor ability of capturing regions of interest in bad conditions such as high-contrast, low-luminance, much light reflection, and so on. An MSER system with a contrast-limited adaptive histogram equalization (CLAHE) instead of conventional MSER is therefore proposed. CLAHE is utilized as a pre-processing method in MSER to detect text regions. The proposed method achieves a precision of 81% and a recall of 82%. However, those for the MSER with grayscale are 63% and 55%, respectively.","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126764959","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
Development of a Web-Based Learning System to Engage Students in Question Generation Activities 开发一个基于网络的学习系统，让学生参与问题生成活动
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.502
Chun-Ping Wu, Shu-ling Wu
{"title":"Development of a Web-Based Learning System to Engage Students in Question Generation Activities","authors":"Chun-Ping Wu, Shu-ling Wu","doi":"10.18178/IJFCC.2017.6.3.502","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.502","url":null,"abstract":"","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124977548","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
Study of Downlink Radio Resource Allocation Scheme with Interference Coordination in LTE — A Network LTE - A网络中具有干扰协调的下行无线资源分配方案研究
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.500
Yen-Wen Chen, Chenju Chen
{"title":"Study of Downlink Radio Resource Allocation Scheme with Interference Coordination in LTE — A Network","authors":"Yen-Wen Chen, Chenju Chen","doi":"10.18178/IJFCC.2017.6.3.500","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.500","url":null,"abstract":"","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123768819","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
Secure Mobile Cloud Architecture for Healthcare Application 用于医疗保健应用程序的安全移动云架构
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.493
Nacha Chondamrongkul, Pattra Chondamrongkul
{"title":"Secure Mobile Cloud Architecture for Healthcare Application","authors":"Nacha Chondamrongkul, Pattra Chondamrongkul","doi":"10.18178/IJFCC.2017.6.3.493","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.493","url":null,"abstract":"Demand of healthcare service has been increasing worldwide. With advance development of pervasive technology, wearable device with multiple sensors can be effectively used as instruments to remotely supervise patient condition at any place and any time. However, this requires dynamically scale storage resources to handle tremendous amount of data that generated from various sensors. So the public cloud suits this requirement very well, as it provides high scalable data storage service with effective cost. But data confidentiality and privacy are still challenging issues, because cloud infrastructure is maintained by the third party, so data is security compromised and generally prone to potential treats. We therefore propose architecture with security schemes that aim to overcome this challenge. The architecture supports mobile application that continuously monitors patient health condition in the secure way. The security scheme is based on public key infrastructure to protect confidentiality, privacy and authenticity of personal data. Our proposed architecture has been implemented and initially tested by group of sampling patients at a local hospital in Thailand.","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668353","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
Case Study: Database Management for Solid Waste Management Services 案例研究:固体废物管理服务的数据库管理
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.505
Tuangthong Patcharaprutipakorn, Direk Thongaraim, Nujcha Thatreenaranon
{"title":"Case Study: Database Management for Solid Waste Management Services","authors":"Tuangthong Patcharaprutipakorn, Direk Thongaraim, Nujcha Thatreenaranon","doi":"10.18178/IJFCC.2017.6.3.505","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.505","url":null,"abstract":"","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122080779","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
Parameter Estimation Algorithms for Volterra Digital Systems Volterra数字系统的参数估计算法
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.501
W. Chang, Ching-Lung Chi, Shun-Peng Shih, Boyuan Ye
{"title":"Parameter Estimation Algorithms for Volterra Digital Systems","authors":"W. Chang, Ching-Lung Chi, Shun-Peng Shih, Boyuan Ye","doi":"10.18178/IJFCC.2017.6.3.501","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.501","url":null,"abstract":"Abstract—In this paper, we will propose a novel parameter estimation algorithm which is based on the modified particle swarm optimization (PSO) algorithm for the Volterra digital system. In the modified PSO algorithm, another adjusting factor is added into the velocity updating formula to enhance the algorithm’s search capacity. On the basis of a series of input-output data pairs, we wish that the modified PSO approach can successfully solve for the unknown parameters of the Volterra digital system. The whole design steps based on the modified PSO is presented for parameter estimations. Besides, different sets of algorithm initial conditions are examined to confirm the feasibility and robustness. Finally, simulation results sufficiently reveal that the proposed method can correctly solve for the parameters of the Volterra digital system.","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131487839","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
A Segment of Healthy and Unhealthy Lifestyle Consumers Affects Healthcare Expenditures: An Application of Data Mining in Healthcare 一部分健康和不健康生活方式的消费者影响医疗支出:数据挖掘在医疗保健中的应用
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/ijfcc.2017.6.3.495
Hsin-Yen Yen, Ching Li, P. Hsia
{"title":"A Segment of Healthy and Unhealthy Lifestyle Consumers Affects Healthcare Expenditures: An Application of Data Mining in Healthcare","authors":"Hsin-Yen Yen, Ching Li, P. Hsia","doi":"10.18178/ijfcc.2017.6.3.495","DOIUrl":"https://doi.org/10.18178/ijfcc.2017.6.3.495","url":null,"abstract":"Data mining is a useful tool to analyze healthcare information and identify personal behavior patterns for policy decision-making., The purpose of this study is to identify healthy and unhealthy families using the household income and expenditure database and to analyze the difference of household healthcare expenditures among the healthy and unhealthy lifestyle groups. The database was composed of the data of the DGBAS surveys over 40 years. The methods in this study were descriptive analyses, ANOVA, cluster analysis, and the Chi-square test. The descriptive results showed there were four types of groups, including Smoker, Alcoholic, Unhealthy diet, and Healthy lifestyle. The healthcare expenditure of the Healthy lifestyle group was significantly lower than that of the other three unhealthy lifestyle groups. Keeping a healthy lifestyle is important for a family since it may decrease healthcare expenditure. The government has to be aware and reduce the cause of high healthcare expenditure by policy-making, to promote well-being, and create a better society.","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132135768","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
The Forecast of PM10 Pollutant by Using a Hybrid Model 基于混合模型的PM10污染预测
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/ijfcc.2017.6.3.504
Ronnachai Chuentawat, Nittaya Kerdprasop, Kittisak Kerdprasop
{"title":"The Forecast of PM10 Pollutant by Using a Hybrid Model","authors":"Ronnachai Chuentawat, Nittaya Kerdprasop, Kittisak Kerdprasop","doi":"10.18178/ijfcc.2017.6.3.504","DOIUrl":"https://doi.org/10.18178/ijfcc.2017.6.3.504","url":null,"abstract":"","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130836262","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
A Deep Learning of Time Series for Efficient Analysis 用于高效分析的时间序列深度学习
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.503
Tippaya Thinsungnoen, Kittisak Kerdprasop, Nittaya Kerdprasop
{"title":"A Deep Learning of Time Series for Efficient Analysis","authors":"Tippaya Thinsungnoen, Kittisak Kerdprasop, Nittaya Kerdprasop","doi":"10.18178/IJFCC.2017.6.3.503","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.503","url":null,"abstract":"","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"455 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132996071","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
An Achievement Prediction Method on the Video Learning Time Based on EKF 基于EKF的视频学习时间成绩预测方法
International Journal of Future Computer and Communication Pub Date : 2017-09-01 DOI: 10.18178/IJFCC.2017.6.3.498
Jun Xiao, Hongliang Gu
{"title":"An Achievement Prediction Method on the Video Learning Time Based on EKF","authors":"Jun Xiao, Hongliang Gu","doi":"10.18178/IJFCC.2017.6.3.498","DOIUrl":"https://doi.org/10.18178/IJFCC.2017.6.3.498","url":null,"abstract":"Abstract—In China, the prediction of the examination achievement is important in the field of online learning, for both the learners and the service providers. On the other hand, the learners' online learning time, e.g. the time of watching the teaching video, can be acquired and recorded easily on most learning platforms. In this paper, we try to establish an EKF model on the exam/test achievement and the learning time, and use the model to predict the achievement in the next exam. The experiment on a two-semester network education course proves, the method can achieve the prediction precision, which is not inferior to the classic methods, and meanwhile own some advantages such as, the capability of noise resistance, uniform convergence, and controllable complexity etc.","PeriodicalId":377748,"journal":{"name":"International Journal of Future Computer and Communication","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126313268","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
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