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第28届中国控制与决策会议

作者： Huaiwei Wu Chenguang Yang Ruowei Wang Chun-Yi Su MOE Key Lab of Autonomous System and Network Control School of Automation Science and EngineeringSouth China University of Technology Zienkiewicz Centre for Computational Engineering Swansea University Department of Mechanical and Industrial Engineering Concordia University

ISBN: (纸本)9781467397155

As a frontier technology,biofeedback has been widely used for psychological treatment,control and many other human-computer interaction *** this paper,a multimedia game based on biofeedback technology is developed,including two main parts,the design of a brain computer interface(BCI) and the design of a multimedia *** the BCI design part,eletroencephlogram(EEG) signals are collected and sent to a processing module for *** EEG signals will be classified into two categories:movement or *** these classified results will be sent to the game process to control the action of a virtual car in real *** the second part,the design of a multimedia game via QTCreator is *** mainly use QTCreator's Graphics View Frame to develop the *** last we will introduce how to combine MATlab,SCAN4.5 and QTCreator together to play the game with biofeedback.

关键词： Development of A Biofeedback Enhanced Multimedia Game

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An allocation scheme between random access and DAMA channels for satellite networks

An allocation scheme between random access and DAMA channels...

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International Conference on Communication Systems

作者： Ruijun Chang Yizhou He Gaofeng Cui Weidong Wang Information & Electronics Technology Lab School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing Science and Technology on Information Transmission and Dissemination in Communication Network Laboratory Shijiazhuang Ministry of Education Key Laboratory of Universal Wireless Communications Beijing China Academy of Information and Communications Technology Beijing

ISBN: (纸本)9781509034246

Although great progress on satellite multiple access has been made both in Random Access (RA) algorithms and Demand Assigned Multiple Access (DAMA), packets collision in RA strategy and large latency in DAMA still present an obstacle to the applying for complex dynamic network respectively. This paper proposes a combination scheme of the two strategies. By taking advantages of both, the scheme assigns all the channels of the system with the two access approaches. An allocation algorithm between RA and DA channels is presented and the simulation results show that a significant improvement on system throughput has been achieved and the average delay is controlled within a considerable level efficiently.

关键词： Delays Throughput Resource management Satellites Protocols Channel allocation Downlink

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Pathological Brain Detection Based on Online Sequential Extreme Learning Machine

Pathological Brain Detection Based on Online Sequential Extr...

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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Siyuan Lu Hainan Wang Xueyan Wu Shuihua Wang School of Computer Science and Technology Nanjing Normal University State Key Lab of CAD & CG Zhejiang University Key laboratory of symbolic computation and knowledge engineering of ministry of education Jilin University Key Laboratory of Statistical information technology and data mining State Statistics Bureau Department of Electrical Engineering The City College of New YorkCUNY

Magnetic resonance imaging(MRI) is a kind of imaging modality, which offers clearer images of soft tissues than computed tomography(CT). It is especially suitable for brain disease detection. It is beneficial to detect diseases automatically and accurately. We proposed a pathological brain detection method based on brain MR images and online sequential extreme learning machine. First, seven wavelet entropies(WE) were extracted from each brain MR image to form the feature vector. Then, an online sequential extreme learning machine(OS-ELM) was trained to differentiate pathological brains from the healthy *** experiment results over 132 brain MRIs showed that the proposed approach achieved a sensitivity of 93.51%, a specificity of 92.22%, and an overall accuracy of 93.33%,which suggested that our method is effective.

关键词： magnetic resonance imaging wavelet entropy online sequential extreme learning machine Classification pattern recognition

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A simulator for swarm AUVs acoustic communication networking 11

A simulator for swarm AUVs acoustic communication networking

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11th ACM International Conference on Underwater networks and Systems, WUWNet 2016

作者： Li, Guannan Liu, Jun Wang, Xue Xu, Hongli Cui, Jun-Hong Shenyang Institute of Automation CAS University of Chinese Academy of Sciences No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Changchun China Shenyang Institute of Automation CAS Northeast University No. 114 Nanta Street Shenhe District Shenyang China Shenyang Institute of Automation CAS No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University Changchun China Underwater Sensor Network Lab. University of Connecticut StorrsCT06269 United States

ISBN: (纸本)9781450346375

This paper presents a simulator for swarm operations designed to verify algorithms for a swarm of autonomous underwater robots (AUVs), specifically for constructing an underwater communication network with AUVs carrying acoustic communication devices. This simulator consists of three nodes: a virtual vehicle node (VV), a virtual environment node (VE), and a visual showing node (VS). The modular design treats AUV models as a combination of virtual equipment. An expert acoustic communication simulator is embedded in this simulator, to simulate scenarios with dynamic acoustic communication nodes. The several simulations we have performed demonstrate that this simulator is easy to use and can be further improved.

关键词： Simulators

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Robust background exclusion for salient object detection

Robust background exclusion for salient object detection

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Yuming Hu Quan Zhou Guangwei Gao Zhijun Yao Weihua Ou Longin Jan Latecki Key Lab of Ministry of Education for Broad Band Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China Nanjing University of Posts and Telecommunications Nanjing CN The 723 Institute of China Shipbuilding Industry Corporation Yangzhou China School of Big Data and Computer Science Guizhou Normal University Guiyang China Department of Computer and Information Science Temple University Philadelphia USA

ISBN: (纸本)9781509028610

Recently, investigating boundary prior to aid other low-level image cues, have gained great attention in salient object detection. Although the salient regions are mostly located in the image center, the inverse might not necessarily be true. In addition, such kind of center-bias assumption is very simple and fragile, especially when salient regions often touch the image boundary or the images are with complex background (e.g., small scale and high contrast patterns). To this end, this paper presents a new framework to address these two issues. First, we propose a robust background descriptor, called boundary connectivity, which is calculated to measure how heavily a region is connected to image boundary. This measure has an intuitive geometrical interpretation that are absent in previous saliency formulation. In order to reduce the effect of imprecise object boundary, we also propose a multiple layer over-segmentation framework to integrate multiple low-level cues, including our background measure, to highlight clean and uniform saliency maps. The experiment results demonstrate that our method achieves state-of-the-art results on MSRA-1000 datasets.

关键词： Image color analysis Object detection Image segmentation Visualization Robustness Image resolution Computers

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Research on optimization of repeater distribution based on cellular communication system

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Tongxin Xuebao/Journal on Communications 2016年 37卷 72-77页

作者： Yan, Shao-Hong Wu, Yu-Hang Gong, Dian-Xuan Hebei Key Laboratory of Data Science and Applications Tangshan063009 China Tangshan Key Laboratory of Data Science Tangshan063009 China College of Science North China University of Science and Technology Tangshan063009 China Mathematical Modeling Innovation Lab North China University of Science and Technology Tangshan063009 China

First considering the signal in space link loss, in combination with lowest relay protection field intensity, power and the reasonable analysis and determination of parameters such as system allowance, a repeater Egli model was adopted to cover radius expression was drew. Secondly on the repeater distribution location, center incentive model of cellular communication system was improved to the center-vertex incentive model. The model area of coverage can be increased by 4%, the user coverage increased by 22%. The repeater distribution in communication system provides a good optimization. © 2016, Editorial Board of Journal on Communications. All right reserved.

关键词： Mobile telecommunication systems

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Robust latent poisson deconvolution from multiple imperfect features for web topic detection

Robust latent poisson deconvolution from multiple imperfect ...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Fei Tao Junbiao Pang Chunjie Zhang Liang Li Li Su Weigang Zhang Qingming Huang Guiping Su School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China College of Metropolitan Transportation Beijing University of Technology China Key Lab on Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China School of Computer Science and Technology Harbin Institute of Technology China

ISBN: (纸本)9781467372596

In web topic detection, detecting “hot” topics from enormous User-Generated Content (UGC) on web data poses two main difficulties that conventional approaches can barely handle: 1) poor feature representations from noisy images and short texts; and 2) uncertain roles of modalities where visual content is either highly or weakly relevant to textual cues due to less-constrained data. In this paper, following the detection by ranking approach, we address the problem by learning a robust shared representation from multiple, noisy and complementary features, and integrating both textual and visual graphs into a k-Nearest Neighbor Similarity Graph (k-N 2 SG). Then Non-negative Matrix Factorization using Random walk (NMFR) is introduced to generate topic candidates. An efficient fusion of multiple graphs is then done by a Latent Poisson Deconvolution (LPD) which consists of a poisson deconvolution with sparse basis similarities for each edge. Experiments show significantly improved accuracy of the proposed approach in comparison with the state-of-the-art methods on two public data sets.

关键词： Visualization Deconvolution Robustness Feature extraction Optimization Correlation Noise measurement

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A new model for nickname detection based on network structure and similarity propagation

A new model for nickname detection based on network structur...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Zhaoli Liu Tao Qin Dan Zhao Xiaohong Guan Tao Yang MoE Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an Shaanxi China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Department of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9781509006809

Users can participate in variety topics and express their opinions using different kinds of online applications, and the IDs (nickname) they used are usually virtual and difficult for finding the physical person. Which pose great challenges for network security management and user's online behavior supervision. Focus on this problem, we proposed methods for nickname detection based on the user's online connection structure and similarity propagation model. Firstly, we collected user's profile information from two popular online applications, sina microblog and RenRen network. Then we mark several matched pairs which belong to the same person from the applications with hardly manually effort, and those IDs are selected as seed set for nickname detection. Secondly, we proposed an nickname detection model based on the connection structure and similarity propagation. We selected one matched pairs from the seed set and obtain all their neighbors. Then we calculated the similarity of each pairs from the neighbor set and calculate their neighbors' connection similarity and neighbors' location similarity. If the similarity is bigger than a selected threshold, we claim they are matched pairs and insert them into the seed sets. On one hand, the correlation results can propagated based on the updated seed set. On the other hand, the computational complexity are greatly reduced as we only employ the neighbors' profiles to calculate the similarity. Experimental results verify the efficiency of the proposed method, which can lay a solid foundation for the online network management and user's behavior supervision.

关键词： Measurement

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A novel method for road centerline extraction from high spatial resolution satellite images

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Journal of Information Hiding and Multimedia Signal Processing 2016年第5期7卷 1069-1080页

作者： Xu, Rui Key Lab of Spatial Data Mining & Information Sharing of Ministry of Education Spatial Information Research Center of Fujian Province Fuzhou University No.523 Gongye Road Fuzhou350002 China College of Information Science and Engineering Fujian University of Technology No.3 Xueyuan Road University Town Fuzhou350108 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No.3 Xueyuan Road University Town Fuzhou350108 China

An integrated method for road centerline extraction has been proposed in this paper which consists of four main steps. First, the Graph Cut algorithm using proposed similarity function is employed to segment the image, and the segmented image is thresholded to initial binary skeleton. Second, the road skeleton is refined by using a series of morphology operations and shape features. Third, the curvilinear feature of road skeleton is detected by a set of multiple filtering detectors. Finally,a regression method is performed to extract smooth and accurate road centerlines. Validation tests show that the proposed method is able to achieve a comparatively good performance in road centerline extraction from high spatial resolution satellite images. © 2016, Ubiquitous International. All Rights Reserved.

关键词： Regression analysis

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A hierarchical object-based method for suburban road extraction from remote sensing image

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ICIC Express Letters, Part B: Applications 2016年第12期7卷 2671-2676页

作者： Xu, Rui College of Information Science and Engineering Fujian University of Technology No. 3 Xueyuan Road University Town Fuzhou350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No. 3 Xueyuan Road University Town Fuzhou350118 China Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education Spatial Information Research Center of Fujian Province Fuzhou University No. 523 Gongye Road Fuzhou350002 China

Road extraction from remote sensing image is a very popular topic. There are many methods dealing with this problem, but few of them focus on suburban roads. This paper presents a hierarchical object-based method for suburban road extraction. First, the image is preprocessed by the Normalized Difference Vegetation Index (NDVI) and the Hue-Saturation-Intensity (HSI) Index. Vegetation regions, shadows and water areas are then removed. Second, texture features are applied to classifying the preprocessed image into two categories: road and non-road. Homogeneous property is combined to remove false classification so as to generate initial road skeleton. Third, the road skeleton is refined by using a series of morphology operations and shape features. Fourth, the curvilinear feature of road skeleton is detected by a set of multiple filtering detectors. Finally, a regression method is performed to extract smooth and accurate road centerlines. The experimental results indicate that the proposed method is suitable for suburban road extraction. © 2016 ISSN 2185-2766.

关键词： Vegetation

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