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检索条件"机构=Robotics and Intelligent System Laboratory Department of Electrical and Computer Engineering"

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Medical Data Mining using Particle Swarm Optimization for Temporal Lobe Epilepsy

Medical Data Mining using Particle Swarm Optimization for Te...

引用

Congress on Evolutionary Computation

作者： M. Ghannad-Rezaie H. Soltanain-Zadeh M.-R. Siadat K.V. Elisevich Henry Ford Health System and Wayne State University Detroit MI USA Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Neurosurgery Department Henry Ford Health System Detroit MI USA

In clinical problems, numerous factors are usually involved in a medical syndrome. New advances in medicine provide a broad range of diagnosis methods to cover all aspects of a disease. However, huge amounts of raw information may confuse clinicians and decrease decision accuracy. computerized knowledge extraction is an active area of research in medical informatics. This paper suggests a new medical data mining approach using an advanced swarm intelligence data mining algorithm. Considering medical knowledge discovery difficulties, this approach addresses common issues such as missing value management and interactive rule extraction. Here, surgery candidate selection in temporal lobe epilepsy is the main target application. However, the general idea can be applied to other medical knowledge discovery problems. Experimental results show noticeable performance improvement in the final rule-set quality while the method is flexible and fast.

关键词： Data mining Particle swarm optimization Temporal lobe Epilepsy Medical diagnostic imaging Biomedical imaging Coronary arteriosclerosis Diseases Surgery Medical services

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Introduction of Mission Unit on Information Collection by On-Rubble Mobile Platforms of Development of Rescue Robot systems (DDT) Project in Japan

Introduction of Mission Unit on Information Collection by On...

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SICE Annual Conference

作者： Fumitoshi Matsuno Shigeo Hirose Iwaki Akiyama Takao Inoh Michele Guarnieri Naoji Shiroma Tetsushi Kamegawa Kazunori Ohno Noritaka Sato Kawasaki Laboratory International Rescue System Institute Kawasaki Japan Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Tokyo Japan Department of Mechanical and Aerospace Engineering Tokyo Institute of Technology Tokyo Japan Department of Electrical and Electronic Engineering Shonan Institute of Technology Japan. Tel : +81-466-30-0190 E-mail: akiyama@*** Department of Mechanical and Aerospace Engineering Tokyo Institute of Technology Tokyo Japan. Tel : +81-03-5734-3177 E-mail: guarnieri@robotics.mes.titech.ac.jp Department of Intelligent Systems Engineering Ibaraki University Hitachi Japan Department of System Engineering Okayama University Okayama Japan Department of Bioengineering and Robotics Tohoku University Sendai Japan

intelligent rescue systems with high information and robot technology have been expected to mitigate disaster damages, especially in Japan after the 1995 Hanshin-Awaji earthquake. In development of robots for search and rescue tasks it is important to develop a robot which can actually work in a real disaster site. Several robots were used for the search and detection operation in the collapsed World Trade Center building in September 2001. From 2002 "Special Project for Earthquake Disaster Mitigation in Urban Areas" (5 years project) launched by Ministry of Education, Culture, Spots, Science and Technology, Japan. It aims at significant mitigation the earthquake disaster damage on the scale of the Great Hanshin earthquake, in densely populated areas in big city regions such as Tokyo metropolitan area and Keihanshin area. In this paper, we introduce the activities of the mission unit on the information collection by on-rubble mobile platforms

关键词： Mobile robots intelligent robots Earthquakes systems engineering and theory intelligent systems Urban areas Robot sensing systems Humans system testing Laboratories

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MARCO: A modular architecture for following route instructions

MARCO: A modular architecture for following route instructio...

引用

AAAI-05 Workshop

作者： MacMahon, Matt Department of Electrical and Computer Engineering Intelligent Robotics Laboratory University of Texas Austin

ISBN: (纸本)1577352440

Understanding and following verbal instructions is a crucial human ability, allowing quick transfer of knowledge about acting in the world. This paper presents the MARCO modular architecture for reasoning about and following route instructions. The Syntactic Parser parses route instruction texts. The Content Framer interprets the surface meaning of each sentence. The Instruction Modeler combines information across phrases and sentences: imperatively, as a representation of what to do under which circumstances, and declaratively, as a model of what is stated and implied about the world. The Executor reactively interleaves action and perception, executing the instructions in the context of the environment. The Robot Controller adapts low-level actions and local view descriptions to the particular follower's motor and sensory capabilities. When the follower can interact with a director, the follower can plan dialog moves that increase its understanding and likelihood of reaching the destination.

关键词： computer software

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A combinational approach to the fusion, de-noising and enhancement of dual-energy x-ray luggage images

A combinational approach to the fusion, de-noising and enhan...

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2005 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2005 - Workshops

作者： Chen, Zhiyu Zheng, Yue Abidi, Besma R. Page, David L. Abidi, Mongi A. Imaging Robotics and Intelligent Systems Laboratory Electrical and Computer Engineering Department University of Tennessee KnoxvilleTN37996 United States

ISBN: (纸本)0769526608

X-ray luggage inspection systems play an important role in ensuring air travelers' security. However, the false alarm rate of commercial systems can be as high as 20% due to less than perfect image processing algorithms. In an effort to reduce the false alarm rate, this paper proposes a combinational scheme to fuse, de-noise and enhance dual-energy X-ray images for better object classification and threat detection. The fusion step is based on the wavelet transform. Fused images generally reveal more detail information;however, background noise often gets amplified during the fusion process. This paper applies a background-subtraction-based noise reduction technique which is very efficient in removing background noise from fused X-ray images. The de-noised image is then processed using a new enhancement technique to reconstruct the final image. The final image not only contains complementary information from both source images, but is also background-noise-free and contrast-enhanced, therefore easier to segment automatically or be interpreted by screeners, thus reducing the false alarm rate in X-ray luggage inspection. © 2005 IEEE computer Society. All rights reserved.

关键词： Wavelet transforms

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Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

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13th International Conference on intelligent systems Application to Power systems, ISAP'05

作者： Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States

ISBN: (纸本)1599750287

The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using Particle Swarm Optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system. © 2005 ISAP.

关键词： Electric control equipment

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Optical flow-based tracking of deformable objects using a non-prior training active feature model 5th

Optical flow-based tracking of deformable objects using a no...

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5th Pacific Rim Conference on Multimedia, PCM 2004

作者： Kim, Sangjin Kang, Jinyoung Shin, Jeongho Lee, Seongwon Paik, Joonki Kang, Sangkyu Abidi, Besma Abidi, Mongi Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-Dong Tongjak-Ku Seoul156-756 Korea Republic of Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering The University of Tennessee KnoxvilleTN37996-2100 United States

ISBN: (纸本)9783540239857

This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects, and provides real-time, robust tracking. The proposed object tracking procedure can be divided into two steps: (i) optical flow-based tracking of feature points and (ii) NPT-AFM for robust tracking. In order to handle occlusion problems in object tracking, feature points inside an object are estimated instead of its shape boundary of the conventional active contour model (ACM) or active shape model (ASM), and are updated as an element of the training set for the AFM. The proposed NPT-AFM framework enables the tracking of occluded objects in complicated background. Experimental results show that the proposed NPT-AFM-based algorithm can track deformable objects in real-time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Optical flows

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A Combinational Approach to the Fusion, De-noising and Enhancement of Dual-Energy X-Ray Luggage Images

A Combinational Approach to the Fusion, De-noising and Enhan...

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Zhiyu Chen Yue Zheng B.R. Abidi D.L. Page M.A. Abidi Imaging Robotics and Intelligent Systems Laboratory Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

X-ray luggage inspection systems play an important role in ensuring air travelers’ security. However, the false alarm rate of commercial systems can be as high as 20% due to less than perfect image processing algorithms. In an effort to reduce the false alarm rate, this paper proposes a combinational scheme to fuse, de-noise and enhance dual-energy X-ray images for better object classification and threat detection. The fusion step is based on the wavelet transform. Fused images generally reveal more detail information; however, background noise often gets amplified during the fusion process. This paper applies a backgroundsubtraction- based noise reduction technique which is very efficient in removing background noise from fused X-ray images. The de-noised image is then processed using a new enhancement technique to reconstruct the final image. The final image not only contains complementary information from both source images, but is also background-noise-free and contrastenhanced, therefore easier to segment automatically or be interpreted by screeners, thus reducing the false alarm rate in X-ray luggage inspection.

关键词： Noise reduction X-ray imaging Inspection Background noise Security Image processing Fuses Object detection X-ray detection X-ray detectors

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A fast digital fuzzy logic controller: FPGA design and implementation

A fast digital fuzzy logic controller: FPGA design and imple...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： K.M. Deliparaschos F.I. Nenedakis S.G. Tzafestas Intelligent Robotics and Automation Laboratory Department of Electrical Engineering and Computer Science National and Technical University of Athens Athens Greece

This paper describes an improved approach to design a Takagi-Sugeno zero-order type fast parameterized digital fuzzy logic controller (DFLC) processing only the active rules (rules that give a non-null contribution for a given input data set), at high frequency of operation, without significant increase in hardware complexity. To achieve this goal, an improved method of designing the fuzzy controller model is proposed that significantly reduces the time required to process the active rules and effectively increases the input data processing rate. The DFLC discussed in this paper achieves an internal core processing speed of at least 200 MHz, featuring two 8-bit inputs and one 12-bit output, with up to seven trapezoidal shape membership functions per input and a rule base of up to 49 rules. The proposed architecture was implemented in a field programmable gate array (FPGA) chip with the use of a very high-speed integrated-circuits hardware-description-language (VHDL) and advanced synthesis and place and route tools

关键词： Fuzzy logic Digital control Field programmable gate arrays Takagi-Sugeno model Process control Frequency Hardware Design methodology Fuzzy control Data processing

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Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

引用

International Conference on intelligent systems Applications to Power systems (ISAP)

作者： G.K. Venayagamoorthy Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

The crucial factor affecting the modern power systems today is load flow control. The unified power flow controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using particle swarm optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system

关键词： Optimal control Power system simulation Power system transients Load flow Power system control Power systems Load flow control Damping Particle swarm optimization Control systems

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Transference of evolved unmanned aerial vehicle controllers to a wheeled mobile robot

Transference of evolved unmanned aerial vehicle controllers ...

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2005 IEEE International Conference on robotics and Automation

作者： Barlow, Gregory J. Mattos, Leonardo S. Grant, Edward Oh, Choong K. Center for Robotics and Intelligent Machines Department of Electrical and Computer Engineering North Carolina State University Raleigh NC 27695 U.S. Naval Research Laboratory 4555 Overlook Ave. S.W. Washington DC 20375 Robotics Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh PA 15213

ISBN: (纸本)078038914X

Transference of controllers evolved in simulation to real vehicles is an important issue in evolutionary robotics (ER). We have previously evolved autonomous navigation controllers for fixed wing UAV applications using multi-objective genetic programming (GP). Controllers were evolved to locate a radar source, navigate the UAV to the source efficiently using on-board sensor measurements, and circle around the emitter. We successfully tested an evolved UAV controller on a wheeled mobile robot. A passive sonar system on the robot was used in place of the radar sensor, and a speaker emitting a tone was used as the target in place of a radar. Using the evolved navigation controller, the mobile robot moved to the speaker and circled around it. The results from this experiment demonstrate that our evolved controllers are capable of transference to real vehicles. Future research will include testing the best evolved controllers by using them to fly real UAVs. ©2005 IEEE.

关键词： Unmanned vehicles

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