2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)最新文献

Research on relay node placement algorithm based on its capacity limitation in WSN 基于容量限制的WSN中继节点布局算法研究

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965482

Shouqiang Wang, Zengxiao Chi, S. Zhang

引用次数: 0

Competition Code And LBP Palm Vein Feature-Level Fusion Using Canonical Correlation Analysis 基于典型相关分析的竞争码与LBP掌静脉特征级融合

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965461

Xiyu Wang, Hengjian Li, Jian Qiu, Changzhi Yu

{"title":"Competition Code And LBP Palm Vein Feature-Level Fusion Using Canonical Correlation Analysis","authors":"Xiyu Wang, Hengjian Li, Jian Qiu, Changzhi Yu","doi":"10.1109/SPAC46244.2018.8965461","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965461","url":null,"abstract":"Biometrics is a discipline in computer science that uses biometrics to identify people and control access. With the development of technology, a variety of biometric recognition technologies are widely used, such as palm vein recognition technology. However, there are deficiencies in the feature extraction of the palm vein in one way. It is difficult to classify and identify. Therefore, the palm vein features are extracted in two different ways to obtain two different feature sets. And the two feature sets have complementary characteristics when expressing the palm vein features. Then, to improve the classification effect, we used the Canonical Correlation Analysis (CCA) to fuse the two feature sets. The palm vein features are extracted using a Competition Code and a Local Binary Pattern (LBP) to obtain two different palm vein features sets in this paper. The Competition Code uses the local orientation information of the image to extract the palm vein feature, and the LBP utilizes the local texture feature of the image to extract the palm vein feature. These two features can achieve complementarity. CCA is a feature-level fusion technique. CCA projects two feature sets into the same spatial domain through linear transformation, and achieves effective feature fusion in the same spatial domain. A good classification effect can be achieved by the two feature sets of the CCA fusion palm vein. Our experiments are carried out in a public database of Hong Kong Polytechnic University. Compared with the single palm vein competition code feature or LBP feature, the palm vein feature after CCA fusion shortens the classification time in some degree. And the recognition rate is increased to 98.14% when the ratio of the training sample to the test sample is 9:3.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"59 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129507637","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

Effective Distance based Low Rank Representation for Image Classification 基于有效距离的图像分类低秩表示

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965492

Tianzeng Tao, De-Yun Yang, Lin-Lin Wang, Ming-Xia Liu

引用次数: 0

Nuclear Clustering Algorithm on State Grid's IT Operation Log 国家电网IT运行日志的核聚类算法

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965496

Feng Yao, Angwei Li, Ping Ding, Lei Li

{"title":"Nuclear Clustering Algorithm on State Grid's IT Operation Log","authors":"Feng Yao, Angwei Li, Ping Ding, Lei Li","doi":"10.1109/SPAC46244.2018.8965496","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965496","url":null,"abstract":"With the continuous evolution of the IT infrastructure of State Grid Data Center and the growing operational data in the electric power system, how to quickly and automatically cluster the operation log in the data center of State Grid has become a key issue in the IT operation and maintenance of the data center. As the most commonly used algorithms in data mining, a clustering algorithm from data mining is adopted to handle the operational log data of State Grid IT data center, which can be used to effectively discover the changes of the topology structure during the operation of the IT infrastructure. Specifically, because the traditional sequential clustering algorithm lacks the ability to discover potential links in logs, this paper proposes a self-destructive nuclear clustering algorithm SDN-means, which aims at the business and data characteristics of the IT infrastructure system of State Grid data center, in order to effectively classify the operational log data of State Grid IT data center during the operation of State Grid. Through the analysis of the running logs of State Grid data center with obvious time series characteristics, the proposed SDN-means algorithm can effectively outperform the existing approaches on the operation of the data center of State Grid.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129924438","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

A Combined Satellite Selection Algorithm* 一种组合卫星选择算法*

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965575

Miaomiao Wei, Zhoufeng Liu, Chunlei Li, Ruimin Yang, Bicao Li, Qingwei Xu

引用次数: 1

Detection of Impurity and Bubble Defects in Tire X-Ray Image Based on Improved Extremum Filter and Locally Adaptive-threshold Binaryzation 基于改进极值滤波和局部自适应阈值二值化的轮胎x射线图像杂质和气泡缺陷检测

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965439

Xiunan Zheng, Jianpei Ding, Zengzhi Pang, Jinping Li

{"title":"Detection of Impurity and Bubble Defects in Tire X-Ray Image Based on Improved Extremum Filter and Locally Adaptive-threshold Binaryzation","authors":"Xiunan Zheng, Jianpei Ding, Zengzhi Pang, Jinping Li","doi":"10.1109/SPAC46244.2018.8965439","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965439","url":null,"abstract":"The manufacturing technology of all steel radial tire is complex. Some defects will inevitably appear in the tire due to the complex production process. Impurity and bubble are two typical kinds of defects in the tire. In this study, a unified detection of impurity and bubble defects in tire X-ray images is proposed by means of improved extremum filter and improved locally adaptive-threshold binaryzation . Firstly, the tire image is divided into cords and background by extremum filter. Secondly, an improved locally adaptive-threshold binaryzation is used to separate defects from the background. Finally, image denoising and marking are processed. In the experiment, we tested the proposed approach by using 280 tires with various types of defects from a tire factory. For the detection of clear and blur impurities and clear bubbles, the precision of our method can reach 97%, and the recall is 95.7%. It is to be noted that the proposed method can only be used to detect those two defects in sidewall and shoulder of the tire which we refer as the carcass.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127994139","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: 9

The Visual Positioning Method of Substation Robot Busbars fittings 变电站机器人母线配件的视觉定位方法

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965606

Chang Tan, Weihua Cao, Xin Chen, Min Wu, Zhentao Liu, Jinbin Li

{"title":"The Visual Positioning Method of Substation Robot Busbars fittings","authors":"Chang Tan, Weihua Cao, Xin Chen, Min Wu, Zhentao Liu, Jinbin Li","doi":"10.1109/SPAC46244.2018.8965606","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965606","url":null,"abstract":"This paper analyzes the disassembly and installation of busbar fittings bolts for substation robots in 110 kv environment, and proposes image self-correction, template segmentation fitting arc and panel pose correction for visual positioning of busbar fittings. The image self-correction solves the quality problem of the fitting image acquisition of the complex illumination condition by rectifying the overall of dark images and the local of bright images. The template segmentation fitting arc method performs multiple segmentation and arc fitting techniques on the fitting template image to accurately calculate the centroid of the fitting, thereby completing the visual positioning of installing bolt. The panel pose is solved by disparity map. Through the panel pose correction, the binocular camera can take photo vertically and use template segmentation to locate the bolt, thereby completing the visual positioning of removing bolt. The appeal method is based on the specific conditions of the disassembly and assembly of the busbar fittings, which solves the problem of large changes in ambient illumination during the visual positioning of the busbar fittings and the uncertainty of the shooting pose.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130038224","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

Clustering based Image Segmentation via Weighted Fusion of Non-local and Local Information 基于非局部和局部信息加权融合的聚类图像分割

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965644

Li Guo, Long Chen, C. L. P. Chen, Tianjun Li, Jin Zhou

引用次数: 0

Multi-Modal Medical Volume Registration Using a New Information Theoretic Measure 基于新信息理论测度的多模态医疗量登记

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965598

Bicao Li, Chunlei Li, Zhoufeng Liu, Zhuhong Shao, Miaomiao Wei, Jie Huang

{"title":"Multi-Modal Medical Volume Registration Using a New Information Theoretic Measure","authors":"Bicao Li, Chunlei Li, Zhoufeng Liu, Zhuhong Shao, Miaomiao Wei, Jie Huang","doi":"10.1109/SPAC46244.2018.8965598","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965598","url":null,"abstract":"This work presented a new 3D registration approach for multi-modal medical volumes. Our approach employed a generalized entropy called Arimoto entropy, which is a generalization of Shannon entropy. Our method proposed in this article applies the Jensen Arimoto divergence as a registration criterion and measures the similarity between the 3D medical volumes acquired from various modalities using this new criterion. The goal of this work is to obtain the maximum value of the new registration criteria by exploiting the quasi-Newton optimization scheme. Simultaneously, two volumes are completely registered, along with the final spatial transformation obtained. In order to evaluate our presented algorithm, the experiments on real three-dimensional medical volumes are designed and performed. Results of registration experiments illustrated that our approach is more effective and proves better registration accuracy. Additionally, a comparison with two classic measures based on information theory, cross-cumulative residual entropy and normalized mutual information, is carried out.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130827478","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

Application of Broad Learning System for Container Number Identification 广义学习系统在集装箱编号识别中的应用

2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965520

Yeong-Geun Han, Tie-shan Li, Y. Zuo, Ye Tian, Yuchi Cao, C. L. P. Chen

引用次数: 2