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Implementation of the EOG -based Human Computer Interface System

Implementation of the EOG -based Human Computer Interface Sy...

The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

作者： Zhao Lv Chao Zhang Xiaopei Wu Mi Li The Key Laboratory of Intelligent Computing & Signal Processing China of Anhui University Hefei The Key Laboratory of Intelligent Computing & Signal Processing China of Anhui University Hefei National Mobile Communications Research Laboratory Southeast University Nanjing China The First A

Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG amplifying and acquisition, EOG pattern recognition and control command output. Three plane electrodes are employed to detects the EOG signals, which contains the information related to the eye blinking and vertical( or horizontal ) eye movements referred to pre-designed command table. An online signal processing algorithm is designated to get the command information contained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.

关键词： Electrooculogram (EOG) Blinking Eye Movements

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An Improved Adaptive Exponential Smoothing Model for Short-term Travel Time Forecasting of Urban Arterial Street

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自动化学报 2008年第11期34卷 1404-1409页

作者： LI Zhi-Peng YU Hong LIU Yun-Cai LIU Fu-Qiang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 P.R. China Intelligent Transportation System Department Shanghai Electrical Apparatus Research Institute Shanghai 200063 P. R. China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 P. R. China

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的... 详细信息

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的适应指数的变光滑模型的缺点。然后，比较实验在状况和反常交通调节评估在牌照匹配获得的直接旅行时间数据(每分钟行数) 上预报模型的四个主要分支的性能的正常交通下面被执行。实验的结果证明每个模型似乎有它的自己的力量和软弱。IASE 的预报表演比在更突然预报地平线(预报的和二步) 的另外的模型优异， IASE 能够处理各种交通条件。

关键词：自适应指数平滑模型短期旅行时间预测预测方法信息处理技术城市街道设计方案

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An Improved Adaptive Exponential Smoothing Model for Short-term Travel Time Forecasting of Urban Arterial Street

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Acta Automatica Sinica 2008年第11期34卷 1404-1409页

作者： Zhi-Peng LI Hong YU Yun-Cai LIU Fu-Qiang LIU Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 P. R. China Intelligent Transportation System Department Shanghai Electrical Apparatus Research Institute Shanghai 200063 P. R. China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 P. R. China

Short-term forecasting of travel time is essential for the success of intelligent transportation system. In this paper, we review the state-of-art of short-term traffic forecasting models and outline their basic ideas, related works, advantages and disadvantages of each model. An improved adaptive exponential smoothing (IAES) model is also proposed to overcome the drawbacks of the previous adaptive exponential smoothing model. Then, comparing experiments are carried out under normal traffic condition and abnormal traffic condition to evaluate the performance of four main branches of forecasting models on direct travel time data obtained by license plate matching (LPM). The results of experiments show each model seems to have its own strength and weakness. The forecasting performance of IASE is superior to other models in shorter forecasting horizon (one and two step forecasting) and the IASE is capable of dealing with all kind of traffic conditions.

关键词： Travel time short-term forecasting license plate matching (LPM) exponential smoothing

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A Direct-Path Interference Cancellation Approach to Passive Radar Based on Adaptive Fractional Delay Estimation

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电子学报(英文版) 2007年第2期16卷 359-362页

作者： ZHU Jiabing WU Xianliang TAO Liang HONG Yi Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China Institute of Signal Processing East China Research Institute of Electronic Engineering Hefei 230031 China

Target detection by non-cooperative illuminator is a study hotspot in electronic warfare field, with'four countering' potential advantages for passive radar. One of the major problems in continuous wave bistatic radar is Direct path interference (DPI). Conventional solutions to this problem is the use of an adaptive antenna, steering null towards the interference. Unfortunately the null depth obtained by this technology is not enough for surveillance radar. First of all, DPI appeared in passive radar based on non-cooperative FM broadcast transmitter is analyzed in this paper. Secondly, a DPI cancellation based on Adaptive fractional delay estimation (AFDE) is in detail introduced how to deal with this problem. Finally, a passive radar experimental system based on non-cooperative FM broadcast transmitter is provided, simulation results by real collected data show applying the method proposed in this paper is effective in suppression DPI.

关键词：无源雷达直达波干扰对消自适应分数延迟估计 FM广播

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Real-time FPGA implementation of a reconfigurable ultrasonic detection system

Real-time FPGA implementation of a reconfigurable ultrasonic...

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IEEE International Conference on Electro-Information Technology

作者： Hojat Parta Erdal Oruklu Jafar Saniie Electrical and Computer Engineering Department Embedded Computing and Signal Processing Research Group (ECASP) Illinois Institute of Technology Chicago IL USA

In this paper, we present hardware realization of a reconfigurable ultrasonic flaw detection system (RUFD) for real-time applications. It can be utilized in diverse environments and applications due to the run-time reconfiguration capability based on the parameters of the ultrasonic transceiver and the target material. Furthermore, this paper presents FPGA implementation results and discusses the steps for optimizing and enhancing the system in terms of the device resources usage and ultimately instrument production cost.

关键词： Real time systems Field programmable gate arrays Narrowband signal processing algorithms Hardware Registers signal processing Runtime Computer displays Communication channels

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Designing an embedded video processing camera using a 16-bit microprocessor for a surveillance system

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Journal of VLSI signal processing Systems for signal, Image, and Video Technology 2006年第1期42卷 57-68页

作者： Sato, Koichi Evans, Brian L. Aggarwal, J.K. Department of Electrical and Computer Engineering Computer and Vision Research Center University of Texas at Austin Austin TX 78712 United States Department of Electrical and Computer Engineering Embedded Signal Processing Laboratory University of Texas at Austin Austin TX 78712 United States Department of Electrical and Computer Engineering University of Texas Austin Design and Implementation of Signal Processing Systems Technical Committee IEEE Signal Processing Society IEEE Department of Electrical and Computer Engineering Computer and Vision Research Center IEEE Computer Society

This paper describes the design and implementation of a hybrid intelligent surveillance system that consists of an embedded system and a personal computer (PC)-based system. The embedded system performs some of the image processing tasks and sends the processed data to the PC. The PC tracks persons and recognizes two-person interactions by using a grayscale side view image sequence captured by a stationary camera. Based on our previous research, we explored the optimum division of tasks between the embedded system and the PC, simulated the embedded system using dataflow models in Ptolemy, and prototyped the embedded system in real-time hardware and software using a 16-bit CISC microprocessor. This embedded system processes one 320 × 240 frame in 89 ms, which yields one-third of the rate of 30 Hz video system. In addition, the real-time embedded system prototype uses 5.7 K bytes of program memory, 854 K bytes of internal data memory and 2 M bytes external DRAM. © Springer Science + Business Media, Inc. 2006.

关键词： Microprocessor chips

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research on Network anomaly Detection Based on Clustering and Classifier

Research on Network anomaly Detection Based on Clustering an...

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International Conference on Computational Intelligence and Security

作者： Hongyu Yang Feng Xie Yi Lu Software Research Center Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China Institute of Computing Technology Chinese Academy and Sciences Beijing China Security and Cryptography Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

ISBN: (纸本)1424406048

In this paper, we propose a method to find the anomalous behaviors in network traffic. We map the network connection records into different feature spaces typically of high dimension according to their protocols and services. In training, we perform clustering to group training data points into clusters, from which we select some clusters as normal and known-attack profile according to a simple, but effect, criterion. For those training data excluded from the profile, we use them to build a specific classifier. The classifier has two distinct characteristics: one is that it regards each data point in the feature space with the limited influence scope, which is served as the decisive bounds of the classifier, and the other is that it has the "default" label to recognize those novel attacks. We present a novel classification algorithm, influence-based classification algorithm, to deal with ambiguous data. Our system is tested on the KDD Cup 1999 data. Results show that it is superior to other data mining based approaches in detection performance, especially in detection of PROBE and U2R attacks

关键词： Intrusion detection Training data Classification algorithms Data mining Data security Information security Computer networks Space technology signal processing algorithms Algorithm design and analysis

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Clustering by principal curve with tree structure

Clustering by principal curve with tree structure

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International Symposium on signals, Circuits and Systems (ISSCS)

作者： I. Cleju P. Franti Xiaolin Wu Multimedia Signal Processing Group Department of Computer and Information Science University of Karlsruhe Konstanz Germany Speech and Image Processing Research Group Department of Computer Science University of Joensuu Joensuu Finland Multimedia Computing and Comucations Laboratory Department of Etectrical and Computer Engineering McMaster University Hamilton ONT Canada

Data clustering is intensively used in signal processing in tasks such as multimedia compression, segmentation and pattern matching. In this work we extend the use of principal curves in clustering to complex multidimensional datasets. The use of principal curve in clustering is limited for high complexity data. Automatic parameterization of the principal curve to assure good results for different datasets is a difficult task. We propose to use the tree structure to capture the general settlement of the data. Using this topology, regions of the dataset can be extracted, individually clustered using the principal curve and then optimally recombined. The experiments show the improvement of the new method over the principal curve based clustering and the good performance compared to other clustering methods.

关键词： Tree data structures Clustering algorithms Partitioning algorithms Multimedia computing Quantization Computer science Pattern matching Data mining Application software Information science

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A compact physiological model of the autoregulation of cerebral blood vessels

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Journal of Cerebral Blood Flow & Metabolism 2005年第1_SUPPL期25卷 S165页

作者： Alexander B Rowley Christopher J Stephens Stephen J Payne Computational Biology Research Group Oxford University Computing Laboratory Oxford UK Biomedical Signal Processing Research Group Department of Engineering Science Oxford UK

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Journal of Information Science and Engineering: Editorial notice

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Journal of Information Science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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