2010 Second International Conference on Computer and Network Technology最新文献_第7页

The Effects of Network Size and Variables on Solution Approach in Hazmat Routing Problems 网络大小和变量对危险品路由问题求解方法的影响

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.72

S. Seyedhosseini, A. Mahmoudabadi

引用次数: 7

Ontology Description of Jade Computational Agents in OWL-DL OWL-DL中Jade计算代理的本体描述

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.116

Roman Neruda

引用次数: 1

Grid Load Balancing Using Ant Colony Optimization 基于蚁群优化的网格负载均衡

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.10

Husna Jamal Abdul Nasir, K. Ku-Mahamud

引用次数: 13

A Compact 8-Bit AES Crypto-processor 一个紧凑的8位AES加密处理器

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.50

F. Haghighizadeh, H. Attarzadeh, M. Sharifkhani

引用次数: 10

Automatic Segmentation and Ventricular Border Detection of 2D Echocardiographic Images Combining K-Means Clustering and Active Contour Model 结合k均值聚类和活动轮廓模型的二维超声心动图图像自动分割与心室边界检测

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.110

S. Nandagopalan, B. Adiga, C. Dhanalakshmi, N. Deepak

{"title":"Automatic Segmentation and Ventricular Border Detection of 2D Echocardiographic Images Combining K-Means Clustering and Active Contour Model","authors":"S. Nandagopalan, B. Adiga, C. Dhanalakshmi, N. Deepak","doi":"10.1109/ICCNT.2010.110","DOIUrl":"https://doi.org/10.1109/ICCNT.2010.110","url":null,"abstract":"Accurate analysis of 2D echocardiographic images is vital for diagnosis and treatment of heart related diseases. For this task, extraction of cardiac borders must be carried out. In particular, automatic quantitative measurements of Left Ventricle (LV), Right Ventricle (RV), Left Atrium (LA), Right Atrium, Valve size, etc. are essential. We believe that automatic processing of these echo images could speed up the clinical decisions and reduce human error. In this paper we focus on automatic segmentation of echocardiographic images of different views (Long Axis View, Short Axis View, Apical 4-chamber View) to extract ventricle and atrium borders for detecting heart abnormalities. A novel approach of combining the K-Means clustering algorithm for segmentation and active contour model for boundary detection is proposed. Since conventional K-Means implementation is not time efficient, we propose a novel algorithm called fast K-Means SQL based on (i) TRUNCATE-INSERT instead of DELETE-INSERT for table updates (ii) denormalized database design and tuning (iii) minimal table joins, to accelerate the image segmentation. Thus, with this approach an image of resolution 400×250 takes just 16 seconds, whereas the conventional method takes 950 seconds. After the operator selects the initial contour in the appropriate part of the echocardiographic image, the deformable contour (snake) converges to the boundaries of the region of interest (ROI). Once the shape of the ventricle or atrium is extracted, we apply coordinate geometry to compute all the necessary parameters required for clinical decision. Normally, ultrasound images are embedded with speckle noise; hence we first apply median filter and then the image segmentation. Experiments are conducted using relatively large set of images obtained from a cardiology hospital. The results show that our proposed method is computationally efficient and 2D measurements are accurate.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124270709","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: 31

Image Projection over the Edge 边缘上的图像投影

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.54

N. A. Abu, Wong Siaw Lang, S. Sahib

引用次数: 10

Answer Aggregation for Keyword Search over Relational Databases 关系型数据库关键字搜索的答案聚合

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.130

Utharn Buranasaksee, Kriengkrai Porkaew, Umaporn Supasitthimethee

{"title":"Answer Aggregation for Keyword Search over Relational Databases","authors":"Utharn Buranasaksee, Kriengkrai Porkaew, Umaporn Supasitthimethee","doi":"10.1109/ICCNT.2010.130","DOIUrl":"https://doi.org/10.1109/ICCNT.2010.130","url":null,"abstract":"with the amount of text data stored in relational databases growing rapidly, the need of the user to search such information is dramatically going up. Many existing approaches focus on finding a tuple matching a keyword query and return the result as a joining network of tuples of one or more tables. In this paper, we formulate an answer aggregation of keyword search over relational databases problem which merges related joining tuples from multiple tables to a single tuple to reduce redundancy in the results and improve the search quality. We developed an approach which exploits the tuple identity information for merging tuples rather than scanning throughout the results to find the common values. We further proposed a pruning algorithm which greatly reduces the number of redundant results after merging. We have conducted experiments extensively on two well-known databases (DBLP and IMDB). The experimental results show that the number of tuples in the results was dramatically reduced which noticeably improved the search quality while the merging time and the pruning time were relatively low when compared to the searching time.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122557081","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

Challenges in the Deployment of Visuo-Haptic Virtual Environments on the Internet 在互联网上部署视觉-触觉虚拟环境的挑战

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.88

Jonathan Norman, Felix G. Hamza-Lup

引用次数: 7

Stream Switching Resilience in P2P Streaming P2P流中的流交换弹性

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.14

Narges Zeighami, J. Mirabedini, S. Jabbehdari

引用次数: 0

A Proposed Model for Determining and Giving Priority to Accident Prone Zones (Black Spot) 确定及优先处理意外易发地带(黑点)的建议模式

2010 Second International Conference on Computer and Network Technology Pub Date : 2010-04-23 DOI: 10.1109/ICCNT.2010.77

H. Zoghi, Mojtaba Hajali, Meisam Dirin

{"title":"A Proposed Model for Determining and Giving Priority to Accident Prone Zones (Black Spot)","authors":"H. Zoghi, Mojtaba Hajali, Meisam Dirin","doi":"10.1109/ICCNT.2010.77","DOIUrl":"https://doi.org/10.1109/ICCNT.2010.77","url":null,"abstract":"Safety topic as the same as many topics in transportation system, impresses many factors and is influenced by the other factors. In Iran the most attention was concentrated in executive engineering activities and it was conceived that with only physical adjustments, accident rate will be reduced. In recently years identification and remedying of Accident prone zones was considered by experts, but only experiments of experts and a few present statistics were criteria which define that a section is accident prone or not, whereas many affective criteria like accident prone antecedent, accidents severity and geometric, physical and traffic condition had not been utilized. This paper effort is based on identification and definition of accident prone criteria, weighting to each criterion and at least assigns accident prone number and designs a prioritization model for accident prone zones. In identification of effective criteria, Delphi method, and in constructing prioritization model, multiple criteria decision making methods are used. Although at the end of this paper a set of points will be prioritized with the proposed model.","PeriodicalId":135847,"journal":{"name":"2010 Second International Conference on Computer and Network Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125244306","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