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2013 International Conference on Information Technology and Applications最新文献

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Active Contours with Neighborhood-Extending and Noise-Smoothing Generalized Gradient Vector Flow External Force 具有邻域扩展和噪声平滑的广义梯度矢量流外力活动轮廓
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.89
Risheng Wang, Yanjie Wang, Jianjun Zhou, Mingzhuo Xia
{"title":"Active Contours with Neighborhood-Extending and Noise-Smoothing Generalized Gradient Vector Flow External Force","authors":"Risheng Wang, Yanjie Wang, Jianjun Zhou, Mingzhuo Xia","doi":"10.1109/ITA.2013.89","DOIUrl":"https://doi.org/10.1109/ITA.2013.89","url":null,"abstract":"The recently proposed Neighborhood-extending and Noise-smoothing Gradient Vector Flow (NNGVF) provides a better segmentation to images than the GVF in terms of noise resistance, weak edges preservation. However, the NNGVF snake still has difficulties converging into long, thin boundary indentations. In this paper, we propose a novel external force for active contour models named NNGGVF which is a generalization of the NNGVF include two spatially varying weighting functions. It improves snake's ability of convergence into long, thin boundary indentations while maintaining other desirable properties of the NNGVF, such as better noise immunity and enlarged capture range. We demonstrate the advantages of the NNGGVF on synthetic and real images.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134564266","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
Mapping OWL 2 Into ORM 将owl2映射到ORM
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.107
Wen-lin Pan
{"title":"Mapping OWL 2 Into ORM","authors":"Wen-lin Pan","doi":"10.1109/ITA.2013.107","DOIUrl":"https://doi.org/10.1109/ITA.2013.107","url":null,"abstract":"For most domain experts, it is difficult to build and verify domain ontologies expressed by OWL 2. ORM (Object Role Modeling) is a conceptual modeling language with graphical notations, its models can be translated into pseudo natural language that make it easier, also for domain experts who is a non-IT specialist, to create, check and adapt the domain knowledge. Based on formal logic semantics of ORM and OWL 2, a serial of mapping rules have been presented to visualize OWL2 ontologies with ORM.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129408720","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
A Hybrid Text Classification Method Based on K-Congener-Nearest-Neighbors and Hypersphere Support Vector Machine 基于k -收敛近邻和超球支持向量机的混合文本分类方法
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.120
Y. H. Chen, Y. F. Zheng, J. Pan, N. Yang
{"title":"A Hybrid Text Classification Method Based on K-Congener-Nearest-Neighbors and Hypersphere Support Vector Machine","authors":"Y. H. Chen, Y. F. Zheng, J. Pan, N. Yang","doi":"10.1109/ITA.2013.120","DOIUrl":"https://doi.org/10.1109/ITA.2013.120","url":null,"abstract":"Our work implements a novel text classifier by combining k congener nearest neighbors-Support Vector Machine(KCNN-SVM) with hyper sphere Support Vector Machine(hyper sphere-SVM) training algorithm. Hyper plane Support Vector Machine has been widely used to divide the samples into two equal categories. However, the hyper sphere Support Vector Machine can not only separate the samples, but also divide them into two different parts. Since the probability inside and outside the hyper sphere is not same, hyper sphere-SVM is helpful to the classification when the datasets are imbalanced that we can control the radius of hyper sphere to get higher accuracy. The KCNN-SVM algorithm distinguishes a sample with its nearest neighbor's category label as well as the average distance between it and its k nearest same kind of neighbors which can enhance the accuracy when the samples are chaotic imbalanced. In this paper, we propose the hyper sphere-KCNN-SVM(HS-KCNN-SVM) hybrid approach which can validly improve the classification accuracy especially for those chaotic imbalanced samples.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123563225","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
Edge Detection for Hardwood Seedlings Leaves Based on Intuitionistic Fuzzy Set 基于直觉模糊集的硬木幼苗叶片边缘检测
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.24
Chunhua Hu, Pingping Li
{"title":"Edge Detection for Hardwood Seedlings Leaves Based on Intuitionistic Fuzzy Set","authors":"Chunhua Hu, Pingping Li","doi":"10.1109/ITA.2013.24","DOIUrl":"https://doi.org/10.1109/ITA.2013.24","url":null,"abstract":"The task of reliably segmenting leaves is significant for plants recognition and reconstruction. Leaves image segmentation, registration and identification are based on edge detection. In this paper, a novel method to detect hardwood leaves edges is proposed, which clusters, thresholds, and then detects edges of hardwood seedlings leaves using intuitionistic fuzzy set (IFS) theory. Clustering segments image into several clusters and histogram threshold eliminates unwanted clusters that are not related to leaves region. Finally, image edge is detected, where a clear boundary is obtained. Proposed method performs better than classical edge detection methods. Experiments for kinds of hardwood seedlings are carried out and the results indicate that the proposed method is effectiveness to detect the leaves edges.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125931087","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
Finding Good XML Fragments Based on k-Medoid Cluster Number Optimization and Ranking Model for Feedback 基于k-Medoid聚类数优化和反馈排序模型的优质XML片段寻找
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.83
Zhong Minjuan
{"title":"Finding Good XML Fragments Based on k-Medoid Cluster Number Optimization and Ranking Model for Feedback","authors":"Zhong Minjuan","doi":"10.1109/ITA.2013.83","DOIUrl":"https://doi.org/10.1109/ITA.2013.83","url":null,"abstract":"Due to low quality feedback set, traditional pseudo relevance feedback may bring into topic drift. This paper studies how to identify or find good xml documents(fragments) for feedback. We propose an effective method, in which xml element search results clustering is performed firstly by k-mediod cluster number optimization, and then those fragments with high relevant to the query are identified and ranked in the top position by ranking model. The final experimental results show that the proposed approach produces better performance and achieves high quality feedback set.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129238153","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
Social Differences Between Information Systems Students and Non-Information Systems Students at North West University (Mafikeng Campus) 西北大学(马坑校区)信息系统专业与非信息系统专业学生的社会差异
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.48
K. Ohei, S. Lubbe
{"title":"Social Differences Between Information Systems Students and Non-Information Systems Students at North West University (Mafikeng Campus)","authors":"K. Ohei, S. Lubbe","doi":"10.1109/ITA.2013.48","DOIUrl":"https://doi.org/10.1109/ITA.2013.48","url":null,"abstract":"This study aims to investigate the social differences between IS and non IS students at NWU, Mafikeng Campus. It explores the knowledge about IS by determining the level of computer knowledge and interaction, and other facts. These items influence students' choices between taking IS as a field of study. By assumption, students must have acquired computer knowledge and skills as they pursue their career. The problem is that non IS students are not knowledgeable of computer hardware and software and would struggle. A quantitative research approach was used for this study. The findings from this study depicted that factors influencing students choice from not taking or going into IS/IT field of study were related to higher salary and lower level of computer literacy. Students are not informed of an IS career due to the lack of career orientation. The IS department should provide marketing strategies to increase IS career awareness.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116992748","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
Advanced Military Aircraft of Study on Condition-Based Maintenance 先进军用飞机状态维修研究
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.112
Aofu Zhang, Li-rong Cui, Pu Zhang
{"title":"Advanced Military Aircraft of Study on Condition-Based Maintenance","authors":"Aofu Zhang, Li-rong Cui, Pu Zhang","doi":"10.1109/ITA.2013.112","DOIUrl":"https://doi.org/10.1109/ITA.2013.112","url":null,"abstract":"Prognostics and Health Management is a hot research in the field of reliability, its main idea is implementation of the system transition from condition monitoring to management in order to pay attention to system fault and degeneration. PHM is the key auxiliary system of a new generation of advanced military aircraft, it can improve the combat capability of military aircraft, the capability of independent repair and the ability of the logistics support and so on. Therefore, the paper has a very important theoretical and practical significance. On this basis, with a new generation of advanced military aircraft as the object of study, we design system structure of PHM and establish the PHM system of airborne.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122872340","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
A Compositive Contrast Enhancement Algorithm of IR Image 一种红外图像综合对比度增强算法
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.20
Xiaoming Chen, L. Lv
{"title":"A Compositive Contrast Enhancement Algorithm of IR Image","authors":"Xiaoming Chen, L. Lv","doi":"10.1109/ITA.2013.20","DOIUrl":"https://doi.org/10.1109/ITA.2013.20","url":null,"abstract":"The contrast enhancement of infrared image is useful and important to the infrared image system. The current techniques of local enhancing exists either over-enhancing or high complexity problems. In this paper, we propose a compositive contrast enhancement algorithm which combines histogram equalization based methods (HEBM) and an multi-scales unsharp masking based methods (UMBM). This proposed algorithm uses HEBM to achieve global contrast enhancement and UMBM to achieve local multi-scales contrast enhancement. First, we review the techniques developed in the literature for contrast enhancement. After then, we introduce the new algorithm in details. The performance of the proposed method is studied on experimental IR data and compared with those yielded by two well established algorithms. The developed algorithm has good performance in global contrast and local contrast enhancement with noise and artifact suppression.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124025042","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: 12
Trojan Detection Model of Nonlinear SVM Based on an Effective Feature Selection Optimization Algorithm 基于有效特征选择优化算法的非线性支持向量机木马检测模型
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.38
Ye Liang, Jingzhang Liang, Limei Huang, Yueping Xian
{"title":"Trojan Detection Model of Nonlinear SVM Based on an Effective Feature Selection Optimization Algorithm","authors":"Ye Liang, Jingzhang Liang, Limei Huang, Yueping Xian","doi":"10.1109/ITA.2013.38","DOIUrl":"https://doi.org/10.1109/ITA.2013.38","url":null,"abstract":"There are two major issues in the current Trojan detection system: some of them can not detect unknown Trojans and many of them have low detection rate. To solve these problems, a Trojan horse detection model of nonlinear SVM based on an effective feature selection optimization algorithm is presented in this paper. In this model, we extract the API (application program interface) calls sequence of an executable program as a feature vector and use the feature selection optimization algorithm to choose High-sensitive characteristics which are quantized into data recognized by SVM to build the SVM feature vector library. SVM classifier is trained with the training dataset to find the optimal separating hyper plane. Experiment results demonstrate that this model named PMI-SVM is more effective and steady.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132422620","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
Design a Teaching Resource Sharing System in Colleges Based on Cloud Computing 基于云计算的高校教学资源共享系统设计
2013 International Conference on Information Technology and Applications Pub Date : 2013-11-16 DOI: 10.1109/ITA.2013.92
Leiyue Yao, Xiao-Yun Xiong
{"title":"Design a Teaching Resource Sharing System in Colleges Based on Cloud Computing","authors":"Leiyue Yao, Xiao-Yun Xiong","doi":"10.1109/ITA.2013.92","DOIUrl":"https://doi.org/10.1109/ITA.2013.92","url":null,"abstract":"By considering the advantages of cloud computing in the field of education informatization, a cloud-based teaching resource sharing platform is designed based on the analysis of related application status. The architecture of cloud-based resource sharing system can be divided into resources, management, and service layer. Then focus on the core module resources management after describing the functions of each layer. An evaluation index system is established to assess the quality of resource, and the detailed description of the resource assessment methods is presented. It will improve the efficiency of resource use, and promote the sharing of information resources and educational applications.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131051536","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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