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

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Fast and Efficient Image Retrieval via Fully-Convolutional Hashing Network 基于全卷积哈希网络的快速高效图像检索
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965490
Wenyuan Fan, Qingjie Liu, Tao Xu
{"title":"Fast and Efficient Image Retrieval via Fully-Convolutional Hashing Network","authors":"Wenyuan Fan, Qingjie Liu, Tao Xu","doi":"10.1109/SPAC46244.2018.8965490","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965490","url":null,"abstract":"With the rapid development of information technology, content-based image retrieval and related technologies have become increasingly important. The hash method can represent an image with a sequence of binary codes consisting of 0 and 1, while the application of a convolutional neural networks can learn directly from the image to a discriminative binary code. We propose a deep hash algorithm based on full convolutional neural network, which can reduce the number of network parameters and have the retrieval performance not lower than the cutting-edge method in this field. The proposed network structure uses convolutional layers and the global average pooling layer to replace fully-connected layers in current deep hashing network structures, which significantly reduces the complexity of the network and improved its training performance. This method is called Fully-convolutional hashing networks (FCHN), and experiments were carried out on several publicized datasets to verify the effectiveness of the method.","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":"128272642","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
PointAGCN: Adaptive Spectral Graph CNN for Point Cloud Feature Learning PointAGCN:点云特征学习的自适应谱图CNN
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965522
Ling Chen, Gang Wei, Zhicheng Wang
{"title":"PointAGCN: Adaptive Spectral Graph CNN for Point Cloud Feature Learning","authors":"Ling Chen, Gang Wei, Zhicheng Wang","doi":"10.1109/SPAC46244.2018.8965522","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965522","url":null,"abstract":"Feature learning on unstructured 3D point clouds using deep networks is gaining attention due to its wide applications in robotics, self-driving and so on. Among existing methods, PointNet has achieved promising results by directly working with point cloud data. However, it does not take full advantages of neighboring points that contain fine-grained structural information which is helpful to better semantic learning. In the paper, we propose an adaptive spectral graph convolutional network for 3D point cloud feature processing, named PointAGCN. Our model use localized spectral graph convolution to capture local geometric features instead of designing of a powerful localized filter manually. The topology of the graph in each layer can be dynamically updated in each layer, which can bring more flexibility and generality. A novel graph pooling operation is carried out on the k-nearest neighbor graph, which aggregates features at graph nodes. Through extensive experiments on various datasets, the results show that the proposed approach achieves competitive performance on standard benchmarks.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"14 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":"133740753","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
Visualization Analysis of International TCM Informatization Research Field 国际中医药信息化研究领域可视化分析
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965495
Yanling Yao, Feng Yuan
{"title":"Visualization Analysis of International TCM Informatization Research Field","authors":"Yanling Yao, Feng Yuan","doi":"10.1109/SPAC46244.2018.8965495","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965495","url":null,"abstract":"This paper analyzed 1,150 papers in the field of international TCM informatization research in the SCI and SSCI databases of WOS based on the knowledge mapping method, and revealed the development status of this research field. The results showed that China occupies an important position in the field of TCM informatization research from the perspective of research force and knowledge base, the results also showed that we had got some important research methods, main research objects and some fields related to the field of TCM informatization research, and 7 important research branch fields had been formed in the development process.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"2006 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":"125833008","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
Forecast Application of Time Series Model Based on BLS in Port Cargo Throughput 基于BLS的时间序列模型在港口货物吞吐量预测中的应用
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965603
Jingjing Yang, Tie-shan Li, Y. Zuo, Ye Tian, Yuchi Cao, He Yang, C. L. P. Chen
{"title":"Forecast Application of Time Series Model Based on BLS in Port Cargo Throughput","authors":"Jingjing Yang, Tie-shan Li, Y. Zuo, Ye Tian, Yuchi Cao, He Yang, C. L. P. Chen","doi":"10.1109/SPAC46244.2018.8965603","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965603","url":null,"abstract":"During the last decade, there was a dramatic increasing of container throughput in China, especially in server harbor cities such as Shanghai and Shenzhen. It is a necessary and crucial task to enhance the ability of port throughput. In the existing studies, time-series model is one of the most powerful methods to solve this problem, which can predict the container cargo throughput accurately and effectively. Based on this technical background, this paper employs a novel algorithm to design a new type of time-series model for predicting port throughput. In the experiments, we firstly use the Matlab to pursue the statistical analyses on the throughput data. Secondly, we apply our method to predict the changing rate of container throughput, and compare the results with several classic time-series models. Finally, the experimental results show that our method was optimized based on the training data, and outperformed other time-series models in the prediction of 10 months throughput.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"24 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":"126081745","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: 3
A visual self-positioning method for inspection robot based on symmetrical tangential artificial landmarks 一种基于对称切向人工地标的检测机器人视觉自定位方法
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965561
Shu-Yu Yang, Shunming Deng, Pengjiao Zhao, Jinpeng Li
{"title":"A visual self-positioning method for inspection robot based on symmetrical tangential artificial landmarks","authors":"Shu-Yu Yang, Shunming Deng, Pengjiao Zhao, Jinpeng Li","doi":"10.1109/SPAC46244.2018.8965561","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965561","url":null,"abstract":"The artificial landmark positioning technology is one of the visual positioning methods of the inspection robot. Although this technology has simple algorithm and low maintenance cost, it is difficult to be widely used due to the limitations in some special environment. For example, people are not allowed to set a large number of landmarks on the ground in some workshops. In this paper, we propose a visual self-positioning method based on the symmetrical tangential artificial landmarks. The basic idea of this method is: firstly, a small number of tangential artificial landmarks are set on the walls or machine tools on both sides, secondly, the perspective model and triangulation method are used to realize the self-positioning of the inspection robot. The experimental results show that the method is simple to operate and has high positioning accuracy, which can meet the needs of the inspection robot.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"7 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":"125190300","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
CPSNF: Classification of Protein Structure with Novel Features CPSNF:具有新特征的蛋白质结构分类
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965568
Hong-Xuan Hua
{"title":"CPSNF: Classification of Protein Structure with Novel Features","authors":"Hong-Xuan Hua","doi":"10.1109/SPAC46244.2018.8965568","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965568","url":null,"abstract":"Protein structures play key roles in many fields of biology. However, identification of protein structural types from protein sequences seems to be a challenge issue. In this study, several novel reconstructed features have been proposed and employed to be the features to deal with the machine learning issue. So as to demonstrate the performance of these features, 10-fold has been utilized in two benchmark datasets, including 1189 and 25PDB. Our proposed features can be effective to deal with the four types of protein tertiary structure than other art-of-the-state methods.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"21 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":"125154138","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
Stability Analysis of An e-SEIR System in Network Society 网络社会中e-SEIR系统的稳定性分析
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965578
Shao-Ting Ge, Zhimin Liu, L. Kang, Zhenxiang Yuan, G. Yao, Ruoxuan Lin
{"title":"Stability Analysis of An e-SEIR System in Network Society","authors":"Shao-Ting Ge, Zhimin Liu, L. Kang, Zhenxiang Yuan, G. Yao, Ruoxuan Lin","doi":"10.1109/SPAC46244.2018.8965578","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965578","url":null,"abstract":"We analyzed the a discrete-time e-SEIR system, which represents the computer virus propagation model in network society. Firstly, we derive two kinds of equilibriums for the model. Secondly, we obtain sufficient stability condition for the no-disease equilibrium using the first Lyapunov stability method. Lastly, we obtain stability conditions for the disease equilibrium using disc theory.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"42 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":"129103050","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
Image Recognition Using Manifold Constrained Collaborative Representation 基于流形约束协同表示的图像识别
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965466
Junwei Jin, C. L. P. Chen, Jin Zhou
{"title":"Image Recognition Using Manifold Constrained Collaborative Representation","authors":"Junwei Jin, C. L. P. Chen, Jin Zhou","doi":"10.1109/SPAC46244.2018.8965466","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965466","url":null,"abstract":"Image recognition is still a challenging task due to the existed illumination and view variations. Manifold learning and representation based classifiers (RCs) are two widely utilized methods to treat the image recognition. The common RCs only emphasize the representation by the training samples globally, while the geometric manifold structure of samples is not fully considered. In this letter, a novel manifold constrained collaborative representation is proposed, which aims to make the representation of query sample be similar with the codes of their nearby-points. Thus, the obtained representations can be more discriminative for recognition. Extensive experiments on several popular databases show that the our proposed method is promising in recognizing various images.","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":"129487902","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
The Use of MATLAB and GT-SUITE in Simulation and Optimization of The Diesel Exhaust After-treatment System 利用MATLAB和GT-SUITE对柴油机尾气后处理系统进行仿真与优化
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965639
Xinying Zhao, Kun Luo
{"title":"The Use of MATLAB and GT-SUITE in Simulation and Optimization of The Diesel Exhaust After-treatment System","authors":"Xinying Zhao, Kun Luo","doi":"10.1109/SPAC46244.2018.8965639","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965639","url":null,"abstract":"In order to get the best value of the diesel engine aftertreatmeng system, the GT-SUITE and SIMULINK are simulated and tested. The car exhaust post-processing system is simulated on the GT-SUITE flatform in this paper.The multi-objective optimization algorithm in MATLAB is used to balance these conflicting factors in gas exhaust, fluid consume and cost. The results of the Pareto frontier optimization are obtained in the end. Parallel computing toolbox is used in the simulation,and the results show that the speed of simulation is increased over 90% and the optimal value can be obtained according to the requirements.","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":"122780415","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
Adaptive Fuzzy Inverse Compensation For Actuator Dead-zone With Piecewise Time-varying Parameters 分段时变参数致动器死区自适应模糊逆补偿
2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) Pub Date : 2018-12-01 DOI: 10.1109/SPAC46244.2018.8965438
Kaixin Lu, Zhi Liu
{"title":"Adaptive Fuzzy Inverse Compensation For Actuator Dead-zone With Piecewise Time-varying Parameters","authors":"Kaixin Lu, Zhi Liu","doi":"10.1109/SPAC46244.2018.8965438","DOIUrl":"https://doi.org/10.1109/SPAC46244.2018.8965438","url":null,"abstract":"Existing adaptive control methods for canceling actuator dead-zone nonlinearity are restricted to an assumption that the dead-zone parameters are constants. But in realistic circumstances, such assumption cannot be always satisfied because the dead-zone parameters may vary with time and even experience abrupt jumps. To address this issue, a new adaptive fuzzy control strategy is proposed to handle such dynamic dead-zone characteristics. Specifically, our scheme is developed with a modified tuning functions method and a novel piecewise Lyapunov analysis. Moreover, to improve the system transient performance in the presence of the dynamic dead-zone nonlinearities, prescribed performance bounds based method is incorporated with the backstepping design. It is proved that besides the system stability, the tracking error is always preserved in a predefined compact set irrespective of the sudden parameter jumps. Simulation example demonstrates this conclusion.","PeriodicalId":360369,"journal":{"name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","volume":"505 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":"123258344","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
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