2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications最新文献

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Semantic web service adaptation model for a pervasive learning scenario 用于普及学习场景的语义web服务适应模型

2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications Pub Date : 2008-07-12 DOI: 10.1109/CITISIA.2008.4607342

B.-Y.-Simon Lau, C. Pham-Nguyen, C.-S. Lee, S. Garlatti

{"title":"Semantic web service adaptation model for a pervasive learning scenario","authors":"B.-Y.-Simon Lau, C. Pham-Nguyen, C.-S. Lee, S. Garlatti","doi":"10.1109/CITISIA.2008.4607342","DOIUrl":"https://doi.org/10.1109/CITISIA.2008.4607342","url":null,"abstract":"With the proliferation of mobile devices, pervasive learning has become a new wave in technology-enhanced learning (TEL). One of the key problems to solve in this area is to adapt learning content and services according to a learner's needs and wants to different learning contexts at the workplace. We propose using semantic web services as a solution to context -adaptive pervasive learning. Another problem lies in web service search, which may return many services that do not match the requirements and context of a learner. This wastes resources and poses more problems to the formulation of just-in-time learning activities. In this paper, we define a service requirement specification to model a service request and a semantic description metadata schema to sufficiently annotate web service functionalities and behavior. On top of that, we propose an adaptation model to match and adapt relevant web services. The technique and algorithm presented in this paper are aimed at improving the efficiency and accuracy in selecting the right web service for a scenario at the workplace.","PeriodicalId":194815,"journal":{"name":"2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124996630","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

An investigation on control strategies for fast transient response of SMPS SMPS快速瞬态响应控制策略研究

2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications Pub Date : 2008-07-12 DOI: 10.1109/CITISIA.2008.4607344

J. Jegandren, R. Gobbi, H. Athab

引用次数: 3

Implementation of several rendering and volume rotation methods for volume rendering of 3D medical dataset 三维医学数据集体绘制的几种绘制和体旋转方法的实现

2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications Pub Date : 2008-07-12 DOI: 10.1109/CITISIA.2008.4607334

Thean Wui Ooi, H. Ibrahim, K. Toh

{"title":"Implementation of several rendering and volume rotation methods for volume rendering of 3D medical dataset","authors":"Thean Wui Ooi, H. Ibrahim, K. Toh","doi":"10.1109/CITISIA.2008.4607334","DOIUrl":"https://doi.org/10.1109/CITISIA.2008.4607334","url":null,"abstract":"In common CT or MRI scanning, volumetric data are acquired as a series of separated slices. Normal practice requires radiologists to interpret the three-dimensional (3D) object or volumetric data by studying these individual slices. Nevertheless, this process is burdensome and time-consuming. With the help from rendering techniques, these indirectly will ease the decision-making process and improve the effectiveness and efficiency of treatment planning. In general, surface rendering and volume rendering are among techniques widely used in medical applications. Among these, volume rendering is the most common visualization technique used to render both geometric and densitometric of data under investigation. This project implements three types of visualization methods based on volume rendering technique which are maximum intensity projection (MIP), local maximum intensity projection (LMIP) and ray-casting to investigate their limitations and significances. Different methods can be used to depict different features of the object in the data. The uses of methods are dependent on user demand and specified application. In order to assist radiologists to understand better on the nature of the 3D object and increase efficiency on detecting locations of abnormalities in the structure of the object, this project is also implementing volume rotation methods, which are Euclidean transformation and shear transformation to rotate the volumetric data in three-dimension space based on user-defined viewing angles. With the incorporation of volume rotation and rendering methods, these might help radiologists to depict different features of the object in any viewing angles.","PeriodicalId":194815,"journal":{"name":"2008 IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121126907","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: 7

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