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High-accuracy skew estimation of document images

International Journal of Fuzzy Systems 2006年第3期8卷 119-126页

作者： Lin, Chin-Teng Fan, Kan-Wei Yeh, Chang-Mao Pu, Her-Chang Wu, Fang-Yi College of Computer Science National Chiao-Tung University 1001 Ta Hsueh Road Hsinchu 300 Taiwan National Chiao Tung University Hsinchu Taiwan Chungchou Institute of Technology Taichung Taiwan Department of Electrical and Control Engineering NCTU Taiwan MediaTek Taiwan

This paper presents a new skew angle estimation algorithm for binary document images based on the FCRM (fuzzy c-regression models) clustering method with the aim to resolve the disadvantages of low accuracy and robustness of the existing approaches. This algorithm consists of four processes. The first process transfers the input image into parallel straight lines through image analysis. The second process uses the operating window selection to accelerate the executing time. The following process magnifies the image by fast interpolation to increase the accuracy of skew angle estimation. Finally, the FCRM method is applied to estimate the skew angle. A test set of 184 documents of different kinds is used to measure the performance of the proposed algorithm. Experimental results show that the proposed method has a high precision rate for different document types;it is able to accurately estimate the skew angles that range between -89° and +89°. © 2006 TFSA.

关键词： Imaging systems

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Stereo Vision based Relative Pose and Motion Estimation for Unmanned Helicopter Landing

Stereo Vision based Relative Pose and Motion Estimation for ...

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International Conference on Information and Automation (ICIA)

作者： Cui Xu Liankui Qiu Ming Liu Bin Kong Yunjian Ge Department of Automation University of Science and Technology Hefei Anhui China Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electrical and Computer Systems Engineering Monash University Melbourne VIC Australia

In this paper, we present a real-time stereo vision based pose and motion estimation system that will be used for landing an unmanned helicopter on a moving target such as a ship deck. The vision algorithm mainly consists of a feature extraction task and a pose and motion estimation task. The 2D planer target with regular features defined can significantly simplify the feature extraction task such as corner detection and feature points matching. To effectively estimate the distance between the camera carrier and target a stereo camera system is applied. By means of sub-pixel corner location the precisions of pose estimation and relative motion detection can be improved. We present results from semi-physical simulation which show that our vision algorithm is accurate and robust. The methodology provides an effective subsystem for the development of autonomous robot helicopter that will land on a given target under the guide of vision.

关键词： Stereo vision Motion estimation Helicopters Feature extraction Cameras Robot vision systems Real time systems Marine vehicles Metalworking machines computer vision

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System identification of the longitudinal/heave dynamics for a tandem-rotor helicopter including higher-order dynamics

System identification of the longitudinal/heave dynamics for...

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2006 Atmospheric Flight Mechanics Conference

作者： Lawler, Michael A. Ivler, Christina M. Tischler, Mark B. Shtessel, Yuri B. US Army AMRDEC Aviation Engineering Directorate Redstone Arsenal AL 35898 United States San Jose State University Foundation Moffett Field CA 94035 United States US Army AMRDEC Aeroflightdynamics Directorate Moffett Field CA 94035 United States University of Alabama in Huntsville Huntsville AL 35899 United States Aeromechanics Division AMSRD-AMR-AE-A AIAA United States San Jose State University Foundation United States Flight Control Technology Group Department of Electrical and Computer Engineering 301 Sparkman Drive United States

ISBN: (纸本)156347820X

As part of a product improvement program to upgrade the CH-47F cockpit and flight control system for the US Army, a new Digital Automatic Flight control System (DAFCS) is being developed by Boeing Helicopters. The DAFCS will incorporate modern control algorithms in the low-speed/Iiover regime to improve handling qualities for operations in a Degraded Visual Environment (DYE). In support of the modern control law development, the US Army required a complete closed-loop analysis model in SEVHJLENK. The central element of this analysis model was an accurate state-space representation of the bare-airframe response. CEFER was used to perform the system identification at three gross weights and two airspeeds having a common quasi-steady model structure. The quasi-steady model identification had a restricted frequency range due to rotor-on-rotor and inflow dynamics. Subsequently, the quasi-steady model was extended to higher-frequencies by incorporating higher-order rotor dynamics. This paper covers the identification of the longitudinal/heave-axis bare-airframe dynamics for the Heavy Gross Weight (HGW) hover configuration, and provides a comparison of results for the quasi-steady and hybrid models. Copyright © 2006 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Flight dynamics

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Delay-dependent stability of 2D state-delayed linear systems

Delay-dependent stability of 2D state-delayed linear systems

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： W. Paszke J. Lam K. Galkowski Shengyuan Xu E. Rogers A. Kummert Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland Department of Mechanical Engineering University of Hong Kong Hong Kong China Department of Automation Nanjing University of Science and Technology of PLA Nanjing China Faculty of Electrical Information and Media Engineering University of Wuppertal Wuppertal Germany School of Electronics and Computer Science University of Southampton Southampton UK

This paper addresses the problem of stability for two-dimensional systems with delays in the state. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matrix inequalities and it is dependent on the size of delays. This fact allows us to reduce the conservatism in the stability analysis of two-dimensional systems with state delays. A simulation example is given to illustrate the theoretical developments

关键词： Stability Linear systems Delay systems Symmetric matrices control systems Linear matrix inequalities Delay lines Automatic control control engineering computing Mechanical engineering

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Photoresponse of ZnO single crystal film

Pan Tao Ti Hsueh Pao/Chinese Journal of Semiconductors

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Pan Tao Ti Hsueh Pao/Chinese Journal of Semiconductors 2006年第1期27卷 96-99页

作者： Li, Ying Feng, Shiwei Yang, Ji Zhang, Yuezong Xie, Xuesong Lu, Changzhi Lu, Yicheng School of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Department of Computer and Electrical Engineering Rutgers University Piscataway NJ 08854 United States

The Ohmic contact and photoresponse of a ZnO single crystal film produced by MOCVD are investigated. The electrical and photoresponsive changes in the ZnO film due to the RF sputter deposition of SiO2 (antireflective coating) are also discussed. A nonalloyed Al/Au metallization scheme forms a good Ohmic contact on the n-type ZnO. RF sputter deposition of SiO2 induces defects which behave as carrier traps and prolongs response time. The photoresponse of the ZnO epitaxial film deteriorates with time.

关键词： Current voltage characteristics

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Significance of Pacemaker vs. Non-Pacemaker Neurons in an Excitatory Rhythmic Network

Significance of Pacemaker vs. Non-Pacemaker Neurons in an Ex...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Liston K. Purvis Terrence M. Wright Jeffrey C. Smith Robert J. Butera Laboratory for Neuroengineering Georgia Institute of Technology Atlanta GA USA Department of Biology Emory University Atlanta GA USA Cellular and Systems Neurobiology Section Laboratory of Neural Control NINDS-National Institutes of Health Bethesda MD USA Laboratory for Neuroengineering and School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

This modeling study investigates the functional role of pacemaker neurons in generating stable rhythms in the pre-Botzinger complex, a subcircuit of the respiratory pattern-generating circuitry in mammals. While the presence of pacemakers within the network is without doubt, the percentage and significance of such pacemakers is still unresolved. Here we revisited earlier network simulations by varying the fraction of pacemaker and non-pacemaker neurons within the network, and quantifying the robustness of the input parameter space and range of frequencies output by the network. Stable network rhythms were possible even with no pacemakers. However, we found that a network of at least 50% pacemakers produced the greatest range of output frequencies and had the more robust input space

关键词： Pacemakers Neurons Frequency Rhythm Robustness Circuits Laboratories Neural engineering Cities and towns USA Councils

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An analysis of viewpoint dependency in three-dimensional object recognition using support vector machines

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Systems and computers in Japan 2006年第1期37卷 105-115页

作者： Hayasaka, Taichi Nakauchi, Shigeki Usui, Shiro Department of Information and Computer Sciences Toyohashi University of Technology Toyohashi 441-8580 Japan Japan Neural Network Society Vision Society of Japan IS and T INNS Institute of Electrical Engineers of Japan Society of Instrument and Control Engineers of Japan Information Processing Society of Japan Japanese Society for Medical and Bjological Engineering Physiological Society of Japan Japan Neuroscience Society Japan Neural Networks Society IEEE

Conflicting results in terms of the recognition rate and response times of humans for 3-dimensional object recognition have been obtained on the basis of experiments conducted under various conditions;while some results suggest that these variables vary depending on the viewpoint of an object (viewpoint dependency), others suggest there is no such variation (viewpoint invariance). In this research we have analyzed the issue of viewpoint dependency in object recognition results using support vector machines, a type of machine learning algorithm, based on the belief that 3-dimensional objects are represented in the brain by sets of 2-dimensional data consisting of images of the object from a range of viewpoints. From this perspective it is suggested that the information contained in images of a 3-dimensional object from a range of viewpoints plays a significant role that ties together apparently conflicting results seen in psychophysical experiments regarding the issue of viewpoint dependency or invariance. © 2005 Wiley Periodicals, Inc.

关键词： Object recognition

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A fractional frequency synthesizer based on ADPLL

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International Journal of electrical engineering 2005年第4期12卷 325-332页

作者： Tsai, Chia-Chun Wu, Hsu-Heng Lee, Wen-Ta Wu, Jan-Ou Lee, Trong-Yen Institute of Computer Communication and Control National Taipei University of Technology Department of Electronic Engineering National Taipei University of Technology Taipei Taiwan Via Technologies Inc. Department of Electronic Engineering National Taipei University of Technology Graduate Institute of Mechanical Electrical Engineering National Taipei University of Technology

In this paper, we propose a fractional frequency synthesizer (FFS) based on an all digital phase-locked loop (ADPLL). A phase-frequency detector (PFD) is developed for reducing two independent comparisons and a dual-modulus frequency divider (FD) with divided by four or five is employed to perform variable fractions. Then a phase-frequency acquisition (PFA) is involved by the modified binary search algorithm (MBSA) with an initial half-step size to speed up for convergence. The frequency synthesizer is implemented with TSMC 0.35μm 1P4M CMOS technology. Experimental simulations show more encouraging results. The chip area is smaller to 1.3×1.3 mm2, locked time is less than 20 reference cycles, power consumption is only 15mW, and jitter is 90ps at 300MHz.

关键词： CMOS integrated circuits

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Spectral analysis of signals: The missing data case

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Synthesis Lectures on Signal Processing 2005年 1卷 1-102页

作者： Wang, Yanwei Li, Jian Stoica, Petre Diagnostic Ultrasound Corporation Bothell WA 98021 Department of Electrical and Computer Engineering University of Florida Gainesville FL 32611 United States Department of Information Technology Division of Systems and Control Uppsala University Uppsala Sweden

ISBN: (纸本)1598290002

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical time series analysis to synthetic aperture radar imaging with angular diversity. For spectral estimation in the missing-data case, the challenge is how to extend the existing spectral estimation techniques to deal with these missing-data samples. Recently, nonparametric adaptive filtering based techniques have been developed successfully for various missing-data problems. Collectively, these algorithms provide a comprehensive toolset for the missing-data problem based exclusively on the nonparametric adaptive filter-bank approaches, which are robust and accurate, and can provide high resolution and low sidelobes. In this book, we present these algorithms for both one-dimensional and two-dimensional spectral estimation problems. © Copyright 2005 by Morgan & Claypool 2005.

关键词： Signal processing

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Emotional learning to control large-scale systems

Emotional learning to control large-scale systems

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作者： Bakhtiari, Reyhaneh Labibi, Batool Electrical and Computer Engineering Department Control and Intelligent Processing Centre of Excellence University of Tehran Iran Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)008045108X

in this paper, with a new look at emotional controller and modifying its structure;a novel approach to hierarchical control of large-scale systems is introduced. Design of controller is founded on emotional learning and the control system consists of neuro-fuzzy controller, whose weights are updated according to emotional signals. This signal is produced in a block called critic, whose job is to evaluate system behaviour. Simulation results demonstrate that the proposed learning scheme, which is applied to a nonlinear three-tank system, provides better control reliability and robustness than classic robust schemes. Copyright © 2005 IFAC.

关键词： Intelligent systems

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