2008 International Symposium on Information Technology最新文献_第10页

Expert system approach in diagnosing mental health: A proposal 心理健康诊断中的专家系统方法:建议

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631566

Rozita Yati Masri, H. Jani, Alicia Tang Yee Chong

引用次数: 0

QRIOM: A QPT-based simulator for composing and reasoning qualitative models for learning organic reactions QRIOM:一个基于qpt的模拟器，用于组成和推理学习有机反应的定性模型

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631972

T.Y.C. Alicia, S. M. Zain, N. Abdul Rahman, R. Abdullah

引用次数: 0

SRL TOOL: Heuristics-based Semantic Role Labeling through natural language processing SRL工具:基于启发式的自然语言处理语义角色标注

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631716

N. Omar, Siti Salwa Bt Hasbullah

引用次数: 3

Diversity versus anonymity for privacy preservation 多样性vs匿名保护隐私

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4632044

M. Mirakabad, Aman Jantan

引用次数: 6

KI evaluation using displacement etrapolation technique under adaptive dense mesh with parallel finite element 平行有限元自适应密集网格下位移推算技术的KI评价

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4632034

M. Hadi, A. Ariffin

引用次数: 1

Using data mining technique to explore anthropometric data towards the development of sizing system 利用数据挖掘技术对人体测量数据进行挖掘，为尺码系统的开发提供依据

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631721

N. Zakaria, Jamil Salleh Mohd, Nasir Taib, Yong Yuan Tan, Yap Bee Wah

{"title":"Using data mining technique to explore anthropometric data towards the development of sizing system","authors":"N. Zakaria, Jamil Salleh Mohd, Nasir Taib, Yong Yuan Tan, Yap Bee Wah","doi":"10.1109/ITSIM.2008.4631721","DOIUrl":"https://doi.org/10.1109/ITSIM.2008.4631721","url":null,"abstract":"An anthropometric survey of 629 girls aged between 7and 12 years old were conducted covering major ethnic groups namely Malays, Chinese and Indians from schools in rural and urban districts of Selangor state in Malaysia. 33 different body dimensions were taken from each subject following the ISO8559-1998 standard for body measurement. Firstly, the whole data was analysed using descriptive analysis of average, mean and standard deviation. The data was then further explored using the factor analysis method. Principal component analysis technique (PCA) was done to reduce the variables to similar factor components. Two components that have Eigen value more than 1 were selected. As a result, two important components were determined which is PC1 named as girth dimensions and PC2 is length dimensions. Next, two key variables were used to segment the children into 4 distinct clusters using Kmeans cluster method. Four body types were obtained from the segmentation known as stout, petite, slim and big groups. These cluster groups were validated using decision tree. These segmented groups will then be converted into size tables.","PeriodicalId":314159,"journal":{"name":"2008 International Symposium on Information Technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124099244","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: 10

Face recognition using local geometrical features - PCA with euclidean classifier 基于局部几何特征的人脸识别-欧几里得分类器PCA

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631687

F. Khalid, Tengku Mohd. Tengku, K. Omar

{"title":"Face recognition using local geometrical features - PCA with euclidean classifier","authors":"F. Khalid, Tengku Mohd. Tengku, K. Omar","doi":"10.1109/ITSIM.2008.4631687","DOIUrl":"https://doi.org/10.1109/ITSIM.2008.4631687","url":null,"abstract":"The goal of this research is to get the minimum features and produce better recognition rates. Before doing the feature selection, we investigate automatic methods for detecting face anchor points with 412 3D-facial points of 60 individuals. There are 7 images per subject including views presenting light rotations and facial expressions. Each images have twelve anchor points which are Right Outer Eye, Right Inner Eye, Left Outer Eye, Left Inner Eye, Upper nose point, Nose Tip, Right Nose Base, Left Nose Base, Right Outer Face, Left Outer Face, Chin, and Upper Face. All the control points are based on the measurement on an absolute scale (mm). After all the control points have been determined, we will extract a relevant set of features. These features are classified in 3 : (1) distance of mass points, (2) angle measurements, and (3) angle measurements. There are fifty-three local geometrical features extracted from 3D points human faces to model the face for face recognition and the discriminating power calculation is to show the valuable feature among all the features. Experiment performed on the GavabDB dataset (412 faces) show that our algorithm achieved 86% of success when respectively the first rank matched.","PeriodicalId":314159,"journal":{"name":"2008 International Symposium on Information Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407716","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

Adaptive MAC protocol for wireless sensor networks in periodic data collection applications 周期性数据采集应用中无线传感器网络的自适应MAC协议

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631921

M. Vahabi, M. Rasid, M. Hossein Fotouhi G., Raja Syamsul Azmir Raja Abdullah

引用次数: 2

Predicting students’ academic achievement: Comparison between logistic regression, artificial neural network, and Neuro-fuzzy 学生学业成绩预测:逻辑回归、人工神经网络与神经模糊的比较

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631535

Nordaliela Mohd. Rusli, Z. Ibrahim, R. Janor

引用次数: 37

Semantic space: Bridging the divide between cognitive science, information processing technology and quantum mechanics 语义空间:弥合认知科学、信息处理技术和量子力学之间的鸿沟

2008 International Symposium on Information Technology Pub Date : 2008-09-26 DOI: 10.1109/ITSIM.2008.4631529

P. Bruza

{"title":"Semantic space: Bridging the divide between cognitive science, information processing technology and quantum mechanics","authors":"P. Bruza","doi":"10.1109/ITSIM.2008.4631529","DOIUrl":"https://doi.org/10.1109/ITSIM.2008.4631529","url":null,"abstract":"Human beings are adept and drawing context-sensitive associations and inferences across a broad range of situations ranging from the mundane to the creative inferences that lead to scientific discovery. Such reasoning has a strong pragmatic character and is transacted with comparatively scarce cognitive assets. The question is how to get technology to reliably replicate this? The need for such technology is pressing. Paradoxically, the information explosion is leading to diminished awareness. Expertise is becoming ever more specialized: Individuals, groups, communities, enterprises are becoming increasingly insular. We need computational systems which have the capability to enhance our awareness, for example, by suggesting associations in context that we could make, but increasingly don’t, as we generally lack the cognitive resources to do so. The premiss behind this paper is that the technology has to manipulate context sensitive meanings which accord with those that we harbour. In other words, the “meanings” manipulated by the technology should be socio-cognitively motivated. A class of cognitively validated computational model called “semantic space” is introduced together with means for computing associations between words. It is argued that such associations can be usefully deployed to underpin human pragmatic reasoning. The paper concludes with some intriguing, highly speculative connections between semantic space and quantum mechanics.","PeriodicalId":314159,"journal":{"name":"2008 International Symposium on Information Technology","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128950373","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: 5