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International Conference on Software engineering and Data Mining (SEDM)

作者： Tomoko Tateyama Taishi Tanaka Shinya Kohara Amir Hossein Foruzan Akira Furukawa Yen-Wei Chen Intelligent Image Processing Laboratory College of Information Science and Engineering Ritsumeikan University Shiga Japan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Radiology Shiga University of Medical Science Shiga Japan

ISBN: (纸本)9781424473243;9788988678220;9788988678213

Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.

关键词： Biomedical imaging Shape control Biomedical engineering Principal component analysis Liver Information analysis Educational institutions Azimuth Covariance matrix Image analysis

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An inventory of potentially habitable environments on Mars: Geological and biological perspectives

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Special Paper of the Geological Society of America 2011年 483卷 317-347页

作者： Dohm, J.M. Miyamoto, H. Ori, G.G. Fairén, A.G. Davila, A.F. Komatsu, G. Mahaney, W.C. Williams, J.-P. Joye, S.B. Di Achille, G. Oehler, D.Z. Marzo, G.A. Schulze-Makuch, D. Acocella, V. Glamoclija, M. Pondrelli, M. Boston, P. Hart, K.M. Anderson, R.C. Baker, V.R. Fink, W. Kelleher, B.P. Furfaro, R. Gross, C. Hare, T.M. Frazer, A.R. Ip, F. Allen, C.C.R. Kim, K.J. Maruyama, S. McGuire, P.C. Netoff, D. Parnell, J. Wendt, L. Wheelock, S.J. Steele, A. Hancock, R.G.V. Havics, R.A. Costa, P. Krinsley, D. Department of Hydrology and Water Resources University of Arizona Tucson AZ United States University Museum Tokyo Japan International Research School of Planetary Sciences Università d'Annunzio Pescara Italy Space Sciences and Astrobiology Division National Aeronautics and Space Administration Ames Research Center Moffett Field CA United States SETI Institute Mountain View CA United States Planetary Exploration Research Center Chiba Institute of Technology Chiba Japan Quaternary Surveys Toronto ON Canada Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA United States Ashima Research Pasadena CA United States Department of Marine Sciences University of Georgia Athens GA United States Laboratory for Atmospheric and Space Physics University of Colorado Boulder CO United States Astromaterials Research and Exploration Science NASA Johnson Space Center Houston TX United States Bay Area Environmental Research Institute Sonoma CA United States School of Earth and Environmental Sciences Washington State University Pullman WA United States Dipartimento Science Geologiche Università Roma Tre Rome Italy Geophysical Laboratory Carnegie Institution of Washington Carnegie WA United States Department of Earth and Environmental Science New Mexico Tech Socorro NM United States School of Chemical Sciences Dublin City University Dublin Ireland Jet Propulsion Laboratory California Institute of Technology Pasadena CA United States Division of Physics Mathematics and Astronomy California Institute of Technology Pasadena CA United States Departments of Electrical and Computer Engineering and Biomedical Engineering University of Arizona Tucson AZ United States Department of Aerospace and Mechanical Engineering University of Arizona Tucson AZ United States Institute of Geological Sciences-Planetary Sciences and Remote Sensing Freie Universität Berlin Malteserstrasse Berlin Germany U.S. Geological Survey Flagstaff

ISBN: (纸本)9780813724836

On Earth, biology, hydrology, and geology are interlinked such that certain types of life are often associated with specifi c conditions, including rock type, pressure, temperature, and chemistry. Life on Earth has established itself in diverse and extreme niches, presenting the possibility that Mars, too, may hold records of fossilized and/or extant life in diverse environments. Geologic, paleohydrologic, and climatic conditions through the evolution of Mars are similar in many respects to conditions occurring during the evolution of Earth and, as such, may point to environments on Mars with potential to have supported living systems. Here, we discuss examples of those Martian settings. Such extraterrestrial environments should be targeted by international robotic and/or manned missions to explore potential fossilized or extant life on Mars. © 2011 Geological Society of America.

关键词： Geology

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Predicting the highest workload in cardiopulmonary test

Predicting the highest workload in cardiopulmonary test

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Annual IEEE Symposium on computer-Based Medical Systems

作者： Elena Baralis Tania Cerquitelli Silvia Chiusano Vincenzo D'Elia Riccardo Molinari Davide Susta Department of Control and Computer Engineering Politecnico di Turino Italy Sport Training Center CSA Eupilio Como Italy School of Health and Human Performance Faculty of Science and Health Dublin City University Ireland

Cardiopulmonary exercise testing is an objective method to evaluate both the cardiac and pulmonary functions. It is used in different application domains, ranging from the clinical domain to sport sciences, to assess possible cardiac failures as well as athete performance. The highest workload reached in the test is a key information to evaluate the individual's physiological characteristics, to plan rehabilitation and/or training sessions. However, these tests are physically very demanding and may expose the tested individual to cardiopulmonary overload. This paper presents a new approach that allows an early prediction of the highest workload that will be reached in the cardiopulmonary test. The test can be prematurely stopped, avoiding its entire execution. The proposed approach relies on a new index, the CardioPulmonary Efficiency Index, which describes the cardiopulmonary response of an individual by summarizing the physiological signals monitored during the test. A k-Nearest Neighbor based classifier analyzes the index trend during the test, together with the characteristics of the individual, and predicts the highest workload. Preliminary experiments, performed on a real dataset provided by the CSA Sport Training center, showed that the proposed approach is able to effectively predict the highest workload with a limited error since the first steps of the test.

关键词： Biomedical monitoring Indexes Knowledge based systems Protocols Monitoring Training Testing

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Use of accelerometers for material inner defect detection

Use of accelerometers for material inner defect detection

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International Conference on Applied Electronics, AE

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center of Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.

关键词： Accelerometers Vibrations Software Conferences Distortion measurement Converters Unified modeling language

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Sensitivity function of LTI fractional order dynamic systems with respect to the orders

Sensitivity function of LTI fractional order dynamic systems...

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American control Conference (ACC)

作者： Yan Li Dingyü Dingyü Xue YangQuan Chen Center of Self-Organizing & Intelligent Systems CSOIS Electrical an Computer Engineering Department Utah State University Logan UT USA School of Control Science and Engineering Shandong University Jinan Shandong China Institute of Robotics and Artificial Intelligent School of Information Science and Engineering Northeastern University Shenyang China

Many real natural or man-made dynamic systems can be better characterized using a fractional order dynamic model. Since in such a case the order assumes a non-integer value, it is of interest to consider the effect of small perturbation around the nominal value. It is of practical importance to analyze the influence of the order variations on the system behavior. This paper establishes an analytical method for the analysis of the sensitivity function of LTI fractional order dynamic systems with respect to the orders. The continuous dependent condition of the orders of fractional Green's function is derived, which is proved as a necessary and sufficient condition. The singularity of fractional Green's functions is discussed. Several examples are included for illustration.

关键词： Green's function methods Lyapunov method Intelligent robots Sufficient conditions Artificial intelligence Transfer functions Fractional calculus Integral equations Partial differential equations H infinity control

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High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter

High performance vision tracking system for mobile robot usi...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Jaehong Park Wonsang Hwang Hyun-il Kwon Jong-hyeon Kim Chang-hun Lee M. Latif Anjum Kwang-soo Kim Dong-il Cho Automation and Systems Research Institute (ASRI) and School of Electrical Engineering and Computer Science Inter-University Semiconductor Research Center Seoul South Korea South Korea Department of Control and Instrumentation Engineering Hanbat National University Daejeon South Korea

This paper introduces a high performance vision tracking system for mobile robot using sensor data fusion. For mobile robots, it is difficult to collect continuous vision information due to robot's motion. To solve this problem, the proposed vision tracking system estimates the robot's position relative to a target and rotates the camera towards the target. This concept is derived from the human eye reflex mechanism, known as the Vestibulo-Ocular Reflex (VOR), for compensating the head motion. This concept for tracking the target results in much higher performance levels, when compared with the conventional method that rotates the camera using only vision information. The proposed system do not require heavy computing loads to process image data and can track the target continuously even during vision occlusion. The robot motion information is estimated using data from accelerometer, gyroscope, and encoders. This multi-sensor data fusion is achieved using Kalman filter. The proposed vision tracking system is implemented on a two-wheeled robot. The experimental results show that the proposed system achieves excellent tracking and recognition performance in various motion scenarios, including scenarios where camera is temporarily blocked from the target.

关键词： Robot sensing systems Target tracking Machine vision Kalman filters Cameras

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Notice of Retraction: Material inner defect detection by a vibration spectrum analysis

Notice of Retraction: Material inner defect detection by a v...

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International Conference on Mechanical and Electronics engineering (ICMEE)

作者： Ondrej Krejcar Robert Frischer Department of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic Department of Automation and Computing in Metallurgy VSB-Technical University of Ostrava Ostrava Czech Republic

This article has been retracted by the publisher.

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Neural stem cell segmentation using local complex phase information

Neural stem cell segmentation using local complex phase info...

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IEEE International Conference on Image Processing

作者： Taoyi Chen Yong Zhang Changhong Wang Zhenshen Qu Stephen T.C. Wong Department of Control Science and Engineering Harbin Institute of Technology Harbin Heilongjiang China Computer Science Division IBM Almaden Research Center San Jose CA USA Center of Bioengineering and Informatics The Methodist Hospital Research Institute and Department of Radiology Weill Cornell Medical College Methodist Hospital Houston TX USA

Segmentation of neural stem cells is the preliminary step to treat and cure several brain neural diseases. There exist a number of methods to accomplish this task. However, all of these methods suffer from some problems, such as high intensity variation sensitivity, human interaction and high computational complexity. In this paper we proposed a novel edge-detection-based neural stem cell image segmentation algorithm using the local complex phase characteristics. The proposed method is an illumination and contrast invariant measurement of edge significance. Our contributions are that, local weighting summation Gaussian kernel convolution and a new model for phase deviation weighting function are introduced into the proposed model to improve the local phase measurement. In experiments, we show that the proposed method is more accurate and reliable than three existing gradient-based edge detection algorithms and Kovesi's model for neural stem cell image segmentation.

关键词： Image edge detection Image segmentation Stem cells Phase measurement Wavelet transforms Detectors Gabor filters

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On the Fractional-Order Distributed Parameter Low-Pass Filter

On the Fractional-Order Distributed Parameter Low-Pass Filte...

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2010 49th IEEE Conference on Decision and control

作者： Yan Li Hu Sheng YangQuan Chen School of Control Science and Engineering Shandong University Jinan 250061 China Department of Electronic Engineering Dalian University of Technology Dalian 116024 China Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University 4120 Old Main Hill Logan UT 84322 USA

ISBN: (纸本)9781424477456

In this paper, we derive the analytical impulse response of a fractional-order distributed parameter low-pass filter of the form integral from x=a to x=b of 1/Ts~(alpha)+1 dT, where 0 <= a <= b and alpha E (0,1). The asymptotic properties of the impulse responses are obtained. Moreover, based on the derived analytical impulse response, we present a technique to perform the discretization of the above fractional-order filter. Finally, a number of illustrated figures are presented to validate the concepts.

关键词： Fractional-order filter Distributed parameter Complex path integral Discretization method

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sEMG based fuzzy control strategy with ANFIS path planning for prosthetic hand

sEMG based fuzzy control strategy with ANFIS path planning f...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Chandrasekhar Potluri Parmod Kumar Madhavi Anugolu Steve Chiu Alex Urfer Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center MCERC College of Engineering Idaho State University Pocatello ID USA MCERC College of Engineering Idaho State University Pocatello ID USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello ID USA Department of Physical and Occupational Therapy Idaho State University Pocatello ID USA Department of Mechanical and Nuclear Engineering MCERC Idaho State University Pocatello ID USA Department of Electrical Engineering and computer science MCERC Idaho State University Pocatello ID USA

This paper presents an intelligent adaptive neurofuzzy inference system (ANFIS) based fuzzy Mamdani controller for a multifingered prosthetic hand. The objective of the controller is to move the finger joint angles along predetermined paths representing a grasping motion. The initiation of the grasping task is evaluated via EMG-entropy data, measured at the forearm of the prosthetic user. In addition to the motion control, the finger force is regulated with a Fuzzy logic controller. Simulation results indicate good performance of the proposed controller. Results show that the outputs follow the hand/finger force and given reference trajectory closely.

关键词： Entropy Force Fingers Electromyography Fuzzy logic Indexes Prosthetic hand

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