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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Zhuxian Xu Di Zhang Fred Wang Dushan Boroyevich Electrical Engineering and Computer Science Department University of Tennessee Knoxville TN USA GE Global Research Center Niskayuna NY USA Center for Power Electronics System Virginia Polytechnic Institute and State University Blacksburg VA USA

This paper presents a unified control method for the combined permanent magnet generator (PMG) and three-phase boost rectifier that can be used in autonomous power systems such as more-electric aircraft requiring high power density. With the unified control, the paper shows the system can function well without additional boost inductors. The design procedure for the control is presented, including current loops, voltage loop, reactive power loop and rotor position estimator loop. Simulation and experimental results show that both the DC link voltage and reactive power could be controlled effectively. In addition, the paper proposes a method to optimize the overall system efficiency by appropriate reactive power distribution. The power density and efficiency of the PMG and rectifier system is improved with the unified control.

关键词： Rectifiers Voltage control Generators Rotors Reactive power Permanent magnets Steady-state

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Measurement and Analysis of Golf Swing Using 3D Acceleration and Gyroscopic Sensors

Measurement and Analysis of Golf Swing Using 3D Acceleration...

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SICE Annual Conference

作者： Hiroshi Negoro Masahiko Ueda Kajiro Watanabe Kazuyuki Kobayashi Yosuke Kurihara Department of System Engineering Hosei University Sumitomo Rubber Industries Ltd. Department of Computer and Information Science Seikei University

ISBN: (纸本)9781457707148

This paper describes the analysis of golf swing motion based on measurements obtained by a very simple device. Conventional studies generally use large, expensive equipment such as high-speed cameras. In this study, we used a small, low-cost device employing 3D acceleration and gyroscopic sensors. The device was attached to the grip end of the golf club in order to measure the grip motion angle during the golf swing. The results of the experiment are in good agreement with the results obtained from high-speed cameras.

关键词： Golf swing Acceleration sensor Gyroscopic sensor Anglel Velocity

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Towards runtime testing in automotive embedded systems

Towards runtime testing in automotive embedded systems

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International Symposium on Industrial Embedded systems

作者： C. Bradatsch T. Ungerer R. Zalman A. Lajtkep Systems and Networking Department of Computer Science University of Augsburg Augsburg Germany Automotive Electronics Microcontroller Development-System & Software Engineering Infineon Technologies Neubiberg Germany Electrics/Electronics and Driver Environment Platform Technologies Software and AUTOSAR BMW Group Munich Germany

Runtime testing is a common way to detect faults during normal system operation. To achieve a specific diagnostic coverage runtime testing is also used in safety critical, automotive embedded systems. In this paper we propose a test architecture to consolidate the hardware resource consumption and timing needs of runtime tests and of application and system tasks in a hard real-time embedded system as applied to the automotive domain. Special emphasis is put to timing requirements of embedded systems with respect to hard real-time and concurrent hardware resource accesses of runtime tests and tasks running on the target system.

关键词： Circuit faults Testing Runtime Hardware Safety Automotive engineering Embedded systems

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Data Mining in Earth system science (DMESS 2011)

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Procedia computer science 2011年 4卷 1450-1455页

作者： Forrest M. Hoffman J. Walter Larson Richard Tran Mills Bjørn-Gustaf J. Brooks Auroop R. Ganguly William W. Hargrove Jian Huang Jitendra Kumar Ranga R. Vatsavai Computational Earth Sciences Group Oak Ridge National Laboratory Oak Ridge TN USA Department of Earth System Science University of California Irvine CA USA Mathematics and Computer Science Division Argonne National Laboratory Argonne IL USA Computation Institute University of Chicago/Argonne National Laboratory Chicago IL USA School of Computer Science The Australian National University Canberra ACT AUSTRALIA Department of Electrical Engineering & Computer Science University of Tennessee Knoxville TN USA Center for Climatic Research University of Wisconsin Madison WI USA Geographic Information Science and Technology Group Oak Ridge National Laboratory Oak Ridge TN USA Eastern Forest Environmental Threat Assessment Center (EFETAC) USDA Forest Service Asheville NC USA

From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic, and machine learning techniques—such as cluster analysis, singular value decomposition, block entropy, Fourier and wavelet analysis, phase-space reconstruction, and artificial neural networks—are being applied to problems of segmentation, feature extraction, change detection, model-data comparison, and model validation. The size and complexity of Earth science data exceed the limits of most analysis tools and the capacities of desktop computers. New scalable analysis and visualization tools, running on parallel cluster computers and supercomputers, are required to analyze data of this magnitude. This workshop will demonstrate how data mining techniques are applied in the Earth sciences and describe innovative computer science methods that support analysis and discovery in the Earth sciences.

关键词： Data mining Remote sensing High performance computing Segmentation Change detection Synthesis visualization

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Machine learning for automated tender classification

Machine learning for automated tender classification

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IEEE India Conference (INDICON)

作者： Sumit Goswami Sunaina Kapoor Prakriti Bhardwaj Dte of Mgmt Information System & Technologies (MIST) Defence Research and Development Organisation New Delhi India Department of Computer Science and Engineering Indira Gandhi Institute of Technology New Delhi India Department of Information Technology J. S. S. Academy of Technical Education NOIDA India

This paper presents classification of DRDO tender documents into predefined categories. Since there is a consistent growth in the volume of digital documents, both on the internet and within organizations, the need to classify them into categories is obvious. In this paper we used `bag-of-words' technique to represent the tender documents. The dataset was prepared and fed into Weka toolkit. Classification was implemented by Naïve Bayes classifier using 10-folds cross validation technique. The machine resulted in classifying the tender documents with an accuracy of 77.36% by technology category and 67.2% by lab's name.

关键词： Accuracy Machine learning Text mining Blogs Support vector machine classification Probabilistic logic

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Training ANFIS system with DE algorithm

Training ANFIS system with DE algorithm

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Allahyar Z. Zangeneh Mohammad Mansouri Mohammad Teshnehlab Ali K. Sedigh Computer Engineering Department Science and Research Branch Islamic Azad university of Tehran Iran Intelligent System laboratory (ISLAB) Control Department K. N. Toosi University of Technology Tehran Iran Advanced Process Automation & Control laboratory (APAC) Control Department K. N. Toosi University of Technology Tehran Iran

In this study, a new type of training the adaptive network-based fuzzy inference system (ANFIS) is presented by applying different types of the Differential Evolution branches. The TSK-type consequent part is a linear model of exogenous inputs. The consequent part parameters are learned by a gradient descent algorithm. The antecedent fuzzy sets are learned by basic differential evolution (DE/rand/1/bin) and then with some modifications in it. This method is applied to identification of the nonlinear dynamic system, prediction of the chaotic signal under both noise-free and noisy conditions and simulation of the two-dimensional function. Instead of DE/rand/1/bin, this paper suggests the complex type (DE/current-to-best/1+1/bin & DE/rand/1/bin) on predicting of Mackey-glass time series and identification of a nonlinear dynamic system revealing the efficiency of proposed structure. Finally, the method is compared with pure ANFIS to show the efficiency of this method.

关键词： Vectors Adaptive systems Input variables Training Mathematical model Equations Firing

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Development of Unconstrained Biosignal Bed Sensing Method Using Piezoceramics to Detect Body Movement and Scratching Motion

Development of Unconstrained Biosignal Bed Sensing Method Us...

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SICE Annual Conference

作者： Toshihiro Shino Shoko Nukaya Yosuke Kurihara Kajiro Watanabe Hiroshi Tanaka Department of System Engineering Hosei University Division of Advanced Therapeutical Sciences Tokyo Medical and Dental University Department of Computer and Information Science Seikei University

ISBN: (纸本)9784907764388

This paper describes a novel bed sensing method for unconstrained detection of body movement and scratching motion through biosignal measurement. The bed sensing method can be used to monitor a person's health condition at home or in the hospital. Moreover, this system is able to detect the frequency of scratching motion. Conventional methods that use infrared cameras or acceleration sensors impose physical and/or psychological stress on the patient. We have developed an unconstrained biosignal bed sensing device using piezoceramics. Piezoceramic sensors are bonded to stainless steel plates sandwiched between the floor and the four legs of the bed. The sensors accurately detect body movement and scratching motions through the acquisition and measurement of biosignals. The device is suitable for various health applications including monitoring of sleep and diseases characterized by itching.

关键词： Unconstrained sensing Bed sensing Piezoceramics Body movement Scratching

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Hierarchically characterizing CUDA program behavior

Hierarchically characterizing CUDA program behavior

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IEEE International Workshop/Symposium on Workload Characterization

作者： Zhibin Yu Hai Jin Nilanjan Goswami Tao Li Lizy K. John Service Computing Technologies and System Lab/Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Intelligent Design of Efficient Architecture Lab University of Florida Gainesville FL USA Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

CUDA has become a very popular programming paradigm in parallel computing area. However, very little work has been done for characterizing CUDA kernels. In this work, we measure the thread level performance, collect the basic block level characteristics, and glean the instruction level properties for about 35 programs from CUDA SDK, Parboil, and Rodinia benchmark suites. In addition, we define basic block vectors, synchronization vectors and thread similarity matrix to capture the characteristics of CUDA programs efficiently. We find that CUDA programs have some unique characteristics at each level compared to sequential programs.

关键词： Graphics processing unit Vectors Kernel Instruction sets Programming USA Councils Educational institutions

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A novel energy mapping approach in CT-based attenuation correction of PET data using multi-energy CT imaging

A novel energy mapping approach in CT-based attenuation corr...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： H. Ghadiri M.B. Shiran M.R. Ay H. Soltanian-Zadeh A. Rahmim H. Zaidi Department of Medical Physics and Biomedical Engineering and Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran Department of Medical Physics and Biomedical Engineering Tehran University of Medical Sciences Tehran Iran Department of Medical Physics and Biomedical Engineering Research Center for Science and Technology in Medicine Research Institute for Nuclear Medicine Tehran University of Medical Sciences Tehran Iran Department of Radiology Henry Ford Health System Detroit MI USA CIPCE at the Department of Electrical and Computer Engineering University of Tehran Tehran Iran Departments of Radiology and Electrical & Computer Engineering Johns Hopkins University Baltimore MD USA Geneva Neuroscience Center University of Geneva Geneva Switzerland Division of Nuclear Medicine University Hospitals of Geneva Geneva Switzerland

A major source of potential pitfalls in CT-based attenuation correction (CTAC) of PET data is the use of integral mode of CT detectors in the presence of polychromatic x-rays resulting in limited information for determination of exact tissue content. The wide range of bone mineral contents and densities in the human body makes it difficult to map the CT number to Linear Attenuation Coefficient (LAC) at the PET energy when merely using one or two scaling factors. In this study we proposed an alternative approach in order to use energy sensitive CT imaging techniques as opposed to integrating CT imaging. The multi-energy strategy would promise significant improvements in tissue determination and leads to accurate energy mapping results in CTAC, which can be especially critical and useful in the presence of varying bone tissues. In order to accurately validate our method a novel bone model based on cortical and marrow mixtures is proposed. Furthermore, a two-step energy mapping algorithm is implemented. For validation, tomographic projections of phantom in five energy bin were acquired and reconstructed. The proposed energy mapping technique was used to estimate the LAC of different bone tissues at 511 keV. The results had 1.1% error at maximum compared to true values. To test the precision, the effect of 10% variation in effective energy was investigated. In different bone tissues, maximum errors induced by the pricewise linear and hybrid methods were 8.0% and 14.6%, respectively; whereas in the proposed multi-energy method, errors was 1.6%, at maximum.

关键词： Image segmentation Shafts USA Councils Attenuation Measurement units Atomic measurements Calibration

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Evaluating 3D position and velocity of subject in parabolic flight experiment by use of the binocular stereo vision measurement

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Chinese Optics Letters 2010年第6期8卷 601-605页

作者：金涛贾宏志侯文玫 Ryo Yamamoto Norihiro Nagai Yusaku Fujii Koichi Maru Naoya Ohta Kazuhito Shimada Shanghai Key Laboratory of Modern Optical System School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Electronic Engineering Faculty of EngineeringGunma University Department of Computer Science Faculty of EngineeringGunma University Medical Operations Japan Aerospace Exploration Agency(JAXA)JAXA Houston OfficeHouston 77058USA

A practical method for evaluating the three-dimensional（3D） position and velocity of a moving object used in the parabolic flight experiment is developed by using the binocular stereo vision measurement theory. The camera calibration mathematic model without considering the lens distortion is *** direct linear transformation（DLT） algorithm is improved to accomplish the camera *** camera calibration result and optimization algorithm are used to calculate the object＇s world coordinate from image *** 3D position and the velocity of the moving object are *** standard uncertainty in estimating the velocity is 0.0024 m/s,which corresponds to 1%level of the velocity of the object in the *** results show that this method is very useful for the parabolic flight experiments.

关键词： Binoculars Calibration Cameras Experiments Linear transformations Measurement theory Three dimensional Uncertainty analysis Velocity

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