2011 Ninth International Conference on ICT and Knowledge Engineering最新文献

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Compact scan mask for 3-D connected components labeling 紧凑型扫描掩模,用于3-D连接组件标签
2011 Ninth International Conference on ICT and Knowledge Engineering Pub Date : 2012-02-16 DOI: 10.1109/ICTKE.2012.6152396
W. Premchaiswadi, P. Sutheebanjard
{"title":"Compact scan mask for 3-D connected components labeling","authors":"W. Premchaiswadi, P. Sutheebanjard","doi":"10.1109/ICTKE.2012.6152396","DOIUrl":"https://doi.org/10.1109/ICTKE.2012.6152396","url":null,"abstract":"Connected component labeling is the underlying technique that is typically used in today's digital image processing for both 2-dimensional and 3-dimensional images. This research analyzes the scan mask for connected components labeling and proposes a new scan mask for 3-dimensional connected components labeling operation (26-connectivity), in which the number of pixels to be inspected is reduced from 14 pixels to 8 pixels.","PeriodicalId":235347,"journal":{"name":"2011 Ninth International Conference on ICT and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122148857","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
Medical knowledge sharing guideline: A conceptual model 医学知识共享指南:一个概念模型
2011 Ninth International Conference on ICT and Knowledge Engineering Pub Date : 2012-02-16 DOI: 10.1109/ICTKE.2012.6152408
O. M. Firdaus, K. Suryadi, R. Govindaraju, T. Samadhi
{"title":"Medical knowledge sharing guideline: A conceptual model","authors":"O. M. Firdaus, K. Suryadi, R. Govindaraju, T. Samadhi","doi":"10.1109/ICTKE.2012.6152408","DOIUrl":"https://doi.org/10.1109/ICTKE.2012.6152408","url":null,"abstract":"Increase the number and type of disease in the world need quality medical care. To produce high-quality medical treatment, necessary improvement in the quality of research related to medical care itself. However, an increasing number of researchs alone is not enough to be followed also by improving the quality of research that indirectly in desperate need of a good quality of communication between physicians, especially in the dissemination of research related to medical care. One of the main requirements for the dissemination of research results might work well is appropriate knowledge sharing between doctors, which eventually led to the need to improve knowledge-sharing between the base physicians. The main objective of this research is to explain the factors that influence the process of exchange of knowledge between doctors, which describes the process of knowledge exchange that occurs between the doctors that have been held, and learn about the factors that influence the effectiveness of the processes for the exchange of knowledge among doctors. In this study using survey methods, this is caused by the research focus of research on current conditions, then the form of research questions of who, what, where, how many / much and do not require control over behavioral events. The survey was conducted on 5 (five) parts, namely content and obstetrics (OBGYN), pediatrics, radiology, anesthesia and pathology clinics in teaching hospitals and non-teaching hospitals. The end result of this research is a guide for the head part in public hospitals and maternity hospitals as leaders and decision makers in implementing the process of sharing knowledge between doctors and international intersection between the hospitals effectively.","PeriodicalId":235347,"journal":{"name":"2011 Ninth International Conference on ICT and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132365888","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
Color recognition system with augmented reality concept and finger interaction: Case study for color blind aid system 基于增强现实概念和手指交互的颜色识别系统:色盲辅助系统的案例研究
2011 Ninth International Conference on ICT and Knowledge Engineering Pub Date : 2012-02-16 DOI: 10.1109/ICTKE.2012.6152389
Alfa Sheffildi Manaf, Riri Fitri Sari
{"title":"Color recognition system with augmented reality concept and finger interaction: Case study for color blind aid system","authors":"Alfa Sheffildi Manaf, Riri Fitri Sari","doi":"10.1109/ICTKE.2012.6152389","DOIUrl":"https://doi.org/10.1109/ICTKE.2012.6152389","url":null,"abstract":"Color blindness is an anomaly which happened in retinal of eye(s) which prevent the patient to recognize or differentiate certain colors. The disability of the patient to recognize color is potential to cause problems to the patient in daily life. Color blind cannot be cured. Therefore, the only method to help color blind people to recognize or differentiate color is with a vision aid kit. In this work, color blind aid system for embedded platform based on Windows Embedded Standard 2009, .NET Framework, OpenCV library and EmguCV Wrapper developed. We create color recognition features implemented with augmented reality concept in the system. In this work, we developed a sound augmented reality concept and finger interaction between user and colored object. Test result according to system testing which has been done from 10 respondents resulting good feedback. The result of finger interaction test shows that the fingertip detection rate reaches 89.6% for skin classification method with HSV color space. Meanwhile, fingertip detection rate reaches 87.5% for skin classification method with YCbCr color space. Furthermore, color recognition rate achieved good result for the majority of tested color types.","PeriodicalId":235347,"journal":{"name":"2011 Ninth International Conference on ICT and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133941963","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: 17
Predicting expert developers for newly reported bugs using frequent terms similarities of bug attributes 使用频繁出现的术语bug属性相似性来预测专家开发人员对新报告的bug的预测
2011 Ninth International Conference on ICT and Knowledge Engineering Pub Date : 2012-02-16 DOI: 10.1109/ICTKE.2012.6152388
N. K. Nagwani, S. Verma
{"title":"Predicting expert developers for newly reported bugs using frequent terms similarities of bug attributes","authors":"N. K. Nagwani, S. Verma","doi":"10.1109/ICTKE.2012.6152388","DOIUrl":"https://doi.org/10.1109/ICTKE.2012.6152388","url":null,"abstract":"A software bug repository not only contains the data about software bugs, but also contains the information about the contribution of developers, quality engineers (testers), managers and other team members. It contains the information about the efforts of team members involved in resolving the software bugs. This information can be analyzed to identify some useful knowledge patterns. One such pattern is identifying the developers, who can help in resolving the newly reported software bugs. In this paper a new algorithm is proposed to discover experts for resolving the newly assigned software bugs. The purpose of proposed algorithm is two fold. First is to identify the appropriate developers for newly reported bugs. And second is to find the expertise for newly reported bugs that can help other developers to fix these bugs if required. All the important information in software bug reports is of textual data types like bug summary, description etc. The algorithm is designed using the analysis of this textual information. Frequent terms are generated from this textual information and then term similarity is used to identify appropriate experts (developers) for the newly reported software bug.","PeriodicalId":235347,"journal":{"name":"2011 Ninth International Conference on ICT and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132692875","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: 23
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