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8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007

作者： Han, Song-Yi Park, Hyun-Ae Cho, Dal-Ho Park, Kang Ryoung Lee, Sangyoun Dept. of Computer Science Sangmyung University Biometrics Engineering Research Center 7 Hongji-Dong Jongro-gu Seoul Korea Republic of Image Sensor and Vision Technology Pixelplus Co. Ltd. Division of Digital Media Technology Sangmyung University Biometrics Engineering Research Center 7 Hongji-Dong Jongro-gu Seoul Korea Republic of Biometrics Engineering Research Center Dept. of Electrical and Electronic Engineering Yonsei University 134 Shinchon-dong Seodaemon-ku Seoul Korea Republic of

ISBN: (纸本)9783540715900

Recently, many companies have attempted to adopt biomeric technology in their mobile phones. In this paper, we propose a new NIR (NearInfra-Red) lighting face recognition method for mobile phones by using megapixel camera image. This paper presents four advantages and contributions over previous research. First, we propose a new eye detection method for face localization for mobile phones based on corneal specular reflections. To detect these SRs (Specular Reflections) (even for users with glasses), we propose successive On/Off activation of the dual NIR illuminators of mobile phone. Second, because the face image is captured by the NIR illuminator, the nose area can be highly saturated, which can degrade face recognition accuracy. To overcome this problem, we use a simple logarithmic image enhancement method, which is suitable for mobile phones with low processing power. Third, considering the low processing speed of mobile phones, we adopt integer-based PCA (Principal Component Analysis) method for face recognition excluding floating-point operation. Fouth, by comparing the recognition performance using the integer-based PCA to those using LDA (Linear Discriminant Analysis) and ICA (Independent Component Analysis) methods, we could know that the integer-based PCA showed better performance apt for mobile phone with NIR image. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Face recognition

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Efficient feature selection based on information gain criterion for face recognition

Efficient feature selection based on information gain criter...

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International Conference on Information and Automation (ICIA)

作者： Chandra Shekhar Dhir Nadeem Iqbal Soo-Young Lee Dept. of Bio and Brain Engg. Brain Science Research Center Dept. of Electrical Engineering Computer Science Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

Feature selection based on information gain criterion is proposed for improvements in classification performance of face recognition tasks. A comparison of information gain with fisher criterion is presented for two different image database. Information gain criterion gives slight performance improvement when ICA based features are used for recognition of facial images with different illumination. For less number of selected features, information gain criterion gives superior performance compared to fisher criterion. However, the performance of information gain and fisher method for feature selection shows similar performance when the database has classes with different illusion, expressions, and occlusions.

关键词： Face recognition Independent component analysis Principal component analysis Feature extraction Performance gain Image databases Spatial databases Lighting Image recognition Cities and towns

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Alignment of multiple proteins with an ensemble of hidden Markov models

Alignment of multiple proteins with an ensemble of hidden Ma...

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6th International Conference on Machine Learning and Applications, ICMLA 2007

作者： Jai, Song Chunmei, Liu Yinglei, Song Junfeng, Qu Hura, Gurdeep S. College of Electrical Engineering Zhejiang University China Department of Systems and Computer Science Howard University Washington DC 20059 United States Department of Mathematics and Computer Science Univ. of MD Eastern Shore Princess Anne MD United States Dept. of Information Technology Clayton State University Morrow GA United States Department of Mathematics and Computer Science University of Maryland Eastern Shore Princess Anne MD 21853 United States

ISBN: (纸本)0769530699

The alignment of multiple protein sequences is a problem of fundamental importance in bioinformatics. In general, the optimal alignment can be obtained through the optimization of an objective function. However, such an optimization task is often computationally intractible, most of the existing alignment tools thus use statistical or machine learning based methods to avoid direct optimizations. In this paper, we develop a new method that can progressively construct and update a set of alignments by adding sequences in certain order to each of the existing alignments. In particular, each of the existing alignments is modeled with a profile hidden markov model (HMM) and an added sequence is aligned to each of these profile HMMs. The profile HMMs in the set are then updated based on the alignments with leading alignment scores. We performed experiments on BaliBASE benchmarks to compare the performance of this new approach with that of other alignment tools. Our experiments showed that, by introducing an integer parameter that controls the number of profile HMMs in the set, we are able to efficiently explore the alignment space and significantly improve the alignment accuracy on sequences with low similarity. © 2007 IEEE.

关键词： Benchmarking

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Passive Sensor Based Dynamic Object Association Method in Wireless Sensor Networks

Passive Sensor Based Dynamic Object Association Method in Wi...

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50th IEEE International Midwest Symposium on Circuits and systems (MWSCAS'07), vol.3

作者： Shung Han Cho Jinseok Lee Xi Deng Sangjin Hong We-Duke Cho Department of Electrical and Computer Engineering Mobile Systems Design Laboratory Stony Brook University-SUNY Stony Brook NY USA Department of Electronics Engineering College of Information Technology Ajou University South Korea Stony Brook Univ.-SUNY Stony Brook Mobile Systems Design Lab. Dept. of Electrical and Computer Engineering Stony Brook University-SUNY NY 11794-2350 USA Dept. of Electronics Engineering College of Information Technology Ajou University South Korea

This paper proposes and presents a novel algorithm for dynamic data association in wireless sensor networks. The sensor node incorporates RFID reader and acoustic sensor where the signals are fused for tracking and associating multiple objects. The RFID tag is used for object identification and acoustic sensor is used for estimating object movement. The threshold based association algorithm is proposed and its performance is analyzed. The association performance under single node coverage and multiple node coverage is evaluated as a function of sampling time and the dynamic behavior. The algorithm minimizes the failed association and provides association recovery.

关键词： Wireless sensor networks Acoustic sensors Radiofrequency identification Signal processing RFID tags Acoustic signal detection Sensor phenomena and characterization Object detection Target tracking Acoustical engineering

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20 to 40 GHz Beam Shaping/Steering Phased Antenna Array System using Fermi Tapered Slot Antennas

20 to 40 GHz Beam Shaping/Steering Phased Antenna Array Syst...

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Microwave, MTT-S International Symposium

作者： Lu Yang N. Ito Calvin W. Domier N.C. Luhmann A. Mase Dept. of Electrical and Computer Engineering University of California Davis CA USA Art Science and Technology Center for Corporative Research Kyushu University Fukuoka Japan University of California Center Sacramento Sacramento CA US

This paper presents the design and measurement of a 20 to 40 GHz beam shaping/steering Fermi-type tapered slot antenna array. The arrays are fabricated using the electro fine forming (EF2) fabrication technology*. The progressive phase shift is realized by a piezoelectric transducer (PET) controlled phase shifter on coplanar stripline (CPS). Compared to the perturbation on a microstrip line, the CPS provides 50% more phase shift. A Taylor N-Bar distribution is introduced to lower the sidelobe ratio (SLR) in beam shaping, which is necessary for many applications including modern microwave telecommunication systems.

关键词： Slot antennas Phased arrays Antenna arrays Microstrip antenna arrays Antenna measurements Fabrication Piezoelectric transducers Positron emission tomography Telecommunication control Phase shifters

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Approach Lighting System Lightning Mitigation and Individual Control Cabinet Protection

Approach Lighting System Lightning Mitigation and Individual...

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Annual North-American Power Symposium

作者： James A. Momoh Nadir Wade Arunsi Chuku Lateef L. Baruwa Center for Energy Systems and Control CESaC Howard University College of Medicine Washington D.C. DC USA Center for Energy Systems and Control (CESaC) Howard University Washington DC USA Center for Energy Systems and Control CESaC Department of Electrical and Computer Engineering ECE Howard University College of Medicine USA Dept. of Electrical and Computer Engineering (ECE) Howard University. Air Traffic Systems Division Federal Aviation Administration (FAA) Washington DC USA

The mitigation of the impact of lightning and the individual control cabinet (ICC) protection of an approach lighting system (ALS) against over-voltage is the focus of this paper. It is the objective of this paper to evaluate three proposed ALS topologies and select the grounding configuration which optimally mitigates the high voltage and current levels caused by lightning, as well as to assess the over-voltage reduction capability of a metal-oxide varistor and its ability to provide protection to the individual control cabinet to prevent damage. Simulation of the grounding system of each ALS topology using a sensitivity study, which incorporates changes in conductor and environmental characteristics, is performed to determine the robustness of each ALS topology. Performance of a hands-on destructive test is also carried out to obtain practical results to compare with simulation results. This paper provides the foundation for improving the current ALS grounding and protective measures by updating standards and specifications to promote increased reliability and safety, as well as reduced equipment cost.

关键词： Lightning Lighting control Control systems Protection Topology Grounding Varistors Optimal control Voltage control Conductors

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Meta-search utilizing evolutionary recommendation: A web search architecture proposal

Meta-search utilizing evolutionary recommendation: A web sea...

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1st International Workshop on Intelligent Web Based Tools, IWBT 2007 - In Conjunction with the 19th IEEE International conference on Tools with Artificial Intelligence, ICTAI 2007

作者： Húsek, Dušan Keyhanipour, Amir Moshiri, Behzad Owais, Suhail S.J. Snášel, Václav Krömer, Pavel Platoš, Jan Institute of Computer Science Academy of Sciences of the Czech Republic CZ182O7 Prague Czech Republic Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran Information Technology Al-Balqa' Applied University Ajloun University College P.O. Bo 6 JO 2681O Ajloun Jordan FEECS Dept. of Computer Science VŠB Technical University of Ostrava 17. listopadu 15 CZ 708 33 Ostrava-Poruba Czech Republic

An innovative meta-search engine named WebFusion has been presented. The search system learns the expertness of every particular underlying search engine in a certain category based on the users' preferences according to an analysis of click-through behavior. In addition, an intelligent re-ranking method based on ordered weighted averaging (OWA) was introduced. The re-ranking method was used to fuse the results' scores of the underlying search engines. Independently, a progressive application of evolutionary computing to optimize Boolean search queries in crisp and fuzzy information retrieval systems was investigated, evaluated in laboratory environment and presented. In this paper we propose an incorporation of these two innovative recent methods founding an advanced Internet search application.

关键词： Search engines

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Digital Speed Control of Multi-Inertia Resonant System Using Real Time Simulator

Digital Speed Control of Multi-Inertia Resonant System Using...

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International Conference on electrical Machines and systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： Hidehiro Ikeda Tsuyoshi Hanamoto Teruo Tsuji Dept. of Electrical Electronics and Computer Engineering Nishi-Nippon Institute of Technology (Ja Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology (Japan) Dept. of Information and Systems Engineering Fukuoka Institute of Technology (Japan)

In this paper, a robust vibration suppression control method for a multi-inertia (a three-inertia and a four-inertia) system by a digital modified-IPD controller is proposed. The controller consists of integral, proportional, derivative and time lag of first order element. We apply the Taguchi Method for the determination of the controller gains for several noise factors (load side inertias and stiffness of the shafts). To confirm the effectiveness of the controller structure with several conditions and the tuning method, we use a real-time simulator based on a RTLinux.

关键词： 3-Intertia System 4-Inertia System Digital Modified-IPD (m-IPD) Controller Taguchi Method Real-Time Simulator

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Alignment of Multiple Proteins with an Ensemble of Hidden Markov Models

Alignment of Multiple Proteins with an Ensemble of Hidden Ma...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Jia Song Chunmei Liu Yinglei Song Junfeng Qu Gurdeep S. Hura Zhejiang University College of Electrical Engineering China Department of Systems and Computer Science Howard University Washington D.C. Department of Mathematics and Computer Science Univ. of MD Eastern Shore Princess Anne MD Dept. of Information Technology Clayton State University Morrow GA Department of Mathematics and Computer Science University of Maryland Eastern Shore Princess Anne MD

关键词： Proteins Hidden Markov models computer science Optimization methods Software tools Dynamic programming Heuristic algorithms Iterative methods Mathematics Bioinformatics

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LANDING AN UNMANNED AIR VEHICLE: VISION BASED MOTION ESTIMATION AND NONLINEAR CONTROL

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Asian Journal of Control 2008年第3期1卷

作者： Omid Shakernia Yi Ma T. John Koo Shankar Sastry Dept. of Electrical Engineering & Computer Science University of California at Berkeley Berkeley CA94720-1774 U.S.A. Tak-Kuen John Koo received the B.Eng. degree in 1992 in Electronic Engineering and the M.Phil. in 1994 in Information Engineering both from the Chinese University of Hong Kong. From 1994 to 1995 he was a graduate student in Signal and Image Processing Institute at the University of Southern California. He is currently a Ph.D. Candidate in Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include nonlinear control theory hybrid systems inertial navigation systems with applications to unmanned aerial vehicles. He received the Distinguished M.Phil. Thesis Award of the Faculty of Engineering The Chinese University of Hong Kong in 1994. He was a consultant of SRI International in 1998. Currently he is the team leader of the Berkeley AeRobot Team and a delegate of The Graduate Assembly University of California at Berkeley. He is a student member of IEEE and SIAM. S. Shankar Sastry received his Ph.D. degree in 1981 from the University of California Berkeley. He was on the faculty of MIT from 1980-82 and Harvard University as a Gordon McKay professor in 1994. He is currently a Professor of Electrical Engineering and Computer Sciences and Bioengineering and Director of the Electronics Research Laboratory at Berkeley. He has held visiting appointments at the Australian National University Canberra the University of Rome Scuola Normale and University of Pisa the CNRS laboratory LAAS in Toulouse (poste rouge) and as a Vinton Hayes Visiting fellow at the Center for Intelligent Control Systems at MIT. His areas of research are nonlinear and adaptive control robotic telesurgery control of hybrid systems and biological motor control. He is a coauthor (with M. Bodson) of “Adaptive Control: Stability Convergence and Robustness Prentice Hall 1989.” and (with R. Murray and Z. Li) of “A Mathematical Introduction to Robotic Manipulati

In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-motion estimation problem since all feature points lie on a planar surface (the landing pad). We study together the discrete and differential versions of the ego-motion estimation, in order to obtain both position and velocity of the UAV relative to the landing pad. After briefly reviewing existing algorithm for the discrete case, we present, in a unified geometric framework, a new estimation scheme for solving the differential case. We further show how the obtained algorithms enable the vision sensor to be placed in the feedback loop as a state observer for landing control. These algorithms are linear, numerically robust, and computationally inexpensive hence suitable for real-time implementation. We present a thorough performance evaluation of the motion estimation algorithms under varying levels of image measurement noise, altitudes of the camera above the landing pad, and different camera motions relative to the landing pad. A landing controller is then designed for a full dynamic model of the UAV. Using geometric nonlinear control theory, the dynamics of the UAV are decoupled into an inner system and outer system. The proposed control scheme is then based on the differential flatness of the outer system. For the overall closed-loop system, conditions are provided under which exponential stability can be guaranteed. In the closed-loop system, the controller is tightly coupled with the vision based state estimation and the only auxiliary sensor are accelerometers for measuring acceleration of the UAV. Finally, we show through simulation results that the designed vision-in-the-loop controller generates stable landing maneuvers even for large levels of image measurement noise. Experiments on a real UAV will be presented in future work.

关键词： Motion estimation computer vision based control unmanned air vehicle differential flatness

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