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Adaptive velocity estimation for disk drive head positioning

Adaptive velocity estimation for disk drive head positioning

引用

IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： A. Shademan F. Janabi-Sharifi Signal and Image Processing Group School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Robotics and Manufacturing Automation Laboratory Department of Mechanical Aerospace and Industrial Engineering Ryerson University Toronto ONT Canada

With the rapid increase of data areal density in disk drives, the need for more accurate position sensing and velocity estimation techniques for the disk drive head actuator emerges. This paper studies the application of velocity estimation methods for disk drive head positioning servo-mechanism with a focus on adaptive windowing velocity estimation. The adaptive windowing technique requires no prior knowledge of measurement noise and shows a better performance compared to conventional finite difference method and Kalman filtering technique. We have compared the performance of adaptive velocity estimation methods under study over a noisy position trajectory in terms of measures for error statistics and undesired shifting. The undesired shifting measure has been developed to reflect the estimation delay and outliers. The simulation results show the superiority of adaptive windowing velocity estimation to conventional methods.

关键词： Disk drives Delay estimation Actuators Noise measurement Finite difference methods Kalman filters Adaptive filters Filtering Position measurement Velocity measurement

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Significance of intracranial pressure pulse morphology in pediatric traumatc brain injury

Significance of intracranial pressure pulse morphology in pe...

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

作者： M. Aboy J. McNames D. Cuesta-Frau W. Wakeland T. Thong S. Lai B. Goldstein Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Computer Vision Group ETS-Alcoi Polytechnic University of Valencia Spain Systems Science Ph.D. Program Portland State University Portland OR USA Biomedical Engineering OGI School of Science and Engineering Oregon Health and Sciences University Portland OR USA Complex Systems Laboratory Department of Pediatrics Oregon Health and Sciences University Portland OR USA

We investigated the relationship between the intracranial pulse pressure (ICP/sub PP/) and the mean intracranial pressure (ICP/sub M/). In adult patients, several research groups have described a linear relationship between ICP/sub PP/ and ICP/sub M/ within the range of cerebral autoregulation. Current monitoring and therapy are mainly based on the mean ICP/sub M/, since it is believed that the ICP/sub M/ contains most of the information provided by the other pulse morphology metrics. In this paper we attempt to answer whether there is further information within the ICP morphology not explained by ICP/sub M/ that might be of prognostic significance. We screened ICP records of 42 patients admitted to the Pediatric Intensive Care Unit at Doernbecher Children's Hospital for segments in which the ICP/sub M/ varied at least 5 mmHg during a 1-hour period. We found 54 segments in 9 different pediatric TBI patients (ages 0.2-17.8 years, mean=9.9 years). ICP/sub PP/ and ICP/sub M/ were calculated for each pulse using an automatic pressure detection algorithm. The coefficient of linear correlation r was > 0.70 in 43/54 segments (p < 0.001), which indicates that there exists a linear relationship between ICP/sub PP/ and ICP/sub M/. However, we found r > 0.90 only in 16/54 segments (p=NS) . This result and visual inspection of ICP/sub PP/ vs. ICP/sub M/ density plots suggest that ICP pulse pressure is not fully explained by the ICP M.

关键词： Cranial pressure Morphology Brain injuries Iterative closest point algorithm Pediatrics Patient monitoring Medical treatment Hospitals Detection algorithms Inspection

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On the minimal state space realization for all-pole and all-zero lattice discrete 2-D filters 6

On the minimal state space realization for all-pole and all-...

引用

6th International Conference on Signal processing, ICSP 2002

作者： Antoniou, George E. Department of Computer Science Image Processing and Systems Laboratory Montclair State University MontclairNJ07043 United States

ISBN: (纸本)0780374886

In this paper state space realizations for all-pole and all-zero two dimensional lattice discrete filters are presented. The proposed realizations are based on the corresponding circuit implementations. For the realization the 2-D state space model of the Roesser type was used. The dimension of the state vector is minimal. Two low-order examples are pre- Sented to illustrate the proposed results. © 2002 IEEE.

关键词： Poles

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Construction of multi-layer feedforward binary neural network by a genetic algorithm

Construction of multi-layer feedforward binary neural networ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Chi Kin Chow Tong Lee Computer Vision and Image Processing Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China

An approach is introduced to determine the topology of a feedforward binary neural network automatically. The approach is based on a construction algorithm that constructs one layer of hidden nodes at a time until the problem is solved. In each layer, the algorithm determines the necessary number of nodes through a growth process by finding the best hidden node that would help to partition the input training data set. This is done using a genetic algorithm. The proposed algorithm can determine the necessary number of hidden layers and number of hidden nodes at each layer automatically. Tests on a number of benchmark problems illustrated the effectiveness of the proposed technique, both in terms of network complexity and recognition accuracy, compared with a geometrical learning approach.

关键词： Neural networks Multi-layer neural network Feedforward neural networks Genetic algorithms Network topology Partitioning algorithms Training data Error correction Computer vision image processing

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Invariant feature matching by Hopfield-type neural network

Invariant feature matching by Hopfield-type neural network

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International Joint Conference on Neural Networks (IJCNN)

作者： Wen-Jing Li Tong Lee Computer Vision and Image Processing Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China

In this paper, a novel Hopfield model for silhouette matching invariant to projective transformations is proposed. Although the new network has higher-order energy function, we show that it can be solved using a standard second-order Hopfield network, by taking advantage of the neighborhood information in the data. The experimental results with real data show that the proposed method can provide accurate matching results in image registration and object recognition.

关键词： Neural networks Hopfield neural networks Object recognition Power engineering and energy Stereo vision Motion estimation Feature extraction Cost function Layout Computer vision

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On the minimal state space realization for all-pole and all-zero lattice discrete 2-D filters

On the minimal state space realization for all-pole and all-...

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International Conference on Signal processing Proceedings (ICSP)

作者： G.E. Antoniou Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair NJ USA

关键词： State-space methods Lattices Filters Circuits Transfer functions image processing Signal processing Delay Two dimensional displays Laboratories

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Resolving ambiguity in depth extraction for motion capture using genetic algorithm

Resolving ambiguity in depth extraction for motion capture u...

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Congress on Evolutionary Computation

作者： Yin Yee Wai Chi Kin Chow Tong Lee Computer Vision and Image Processing Laboratory Department of Electronic Engineering Chinese University of Hong Kong Sha Tin Hong Kong China

There is considerable interest in motion capture from an image sequence taken from a video camera. However, since the images only consist of 2D information, the distance of an object from the image plane cannot be determined uniquely unless some constraints are imposed. Coplanar motion is a popular constraint adopted for this purpose. If the captured motion is not coplanar, only two possible solutions can be obtained at the best even the actual size of the object is given. Therefore, the motion cannot be captured without resolving the distances of each control point from the image plane. By assuming smooth transition, the problem is formulated as one minimizing the transition between image frames and the application of GA to solve this optimization problem is proposed.

关键词： Genetic algorithms Humans Cameras image resolution image sequences Animation Motion analysis Optical filters Optical recording Optical sensors

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On the Minimal State Space Realization for All-Pole and All-Zero Lattice Discrete 2-D Filters

On the Minimal State Space Realization for All-Pole and All-...

引用

2002年第6届信号处理国际会议

作者： George E.Antoniou Image Processing and Systems Laboratory Department of Computer Science Montclair State University Montclair New Jersey 07043

In this paper state space realizations for all-pole and all-zero two dimensional lattice discrete filters axe presented. The proposed realizations are based on the corresponding circuit implementations. For the realization the 2-D state space model of the Roesser type was used. The dimension of the state vector is minimal. Two low-order examples are presented to illustrate the proposed results.

关键词： 2-D systems. Realization, All-pole All-zero filters

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Multiple objects segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)

Multiple objects segmentation based on maximum-likelihood es...

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International Conference on Pattern Recognition

作者： Xie Jun H.T. Tsui Xia Deshen Image Processing and Computer Vision Laboratory Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China Pattern Recognition Laboratory Department of Computer Science Nanjing University of Science and Technology China

ISBN: (纸本)076951695X

A new method based on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function proposed to implement image segmentation based on the image's local spatial information and global intensity distribution properties. The loss function consists of two terms: a local content fitting term, which optimizes the entropy distribution, and a global statistical fitting term, which maximizes the likelihood of the parameters for the given data. The proposed segmentation method was validated by simulated and real examples. The performance in the experiments is better than those of two popular methods.

关键词： Object segmentation Maximum likelihood estimation image segmentation Layout Uncertainty image edge detection Shape measurement image processing Pattern recognition Gaussian distribution

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Blind quality assessment for JPEG2000 compressed images

Blind quality assessment for JPEG2000 compressed images

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The Thirty-Sixth Asilomar Conference on Signals systems and Computers

作者： Sheikh, Hamid R. Wang, Zhou Cormack, Lawrence Bovik, Alan C. Lab. for Image and Video Engineering Department of Electrical Engineering University of Texas at Austin Austin TX 78712-1084 United States Center for Perceptual Systems University of Texas at Austin Austin TX United States Laboratory for Computational Vision New York University New York NY United States

Measurement of image quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement and reproduction. Traditionally, image quality assessment algorithms have focused on measuring image fidelity, where quality is measured as fidelity with respect to a 'reference' or 'perfect' image. The field of blind quality assessment has been largely unexplored. In this paper we present an algorithm for blindly determining the quality of JPEG2000 compressed images. Our algorithm assigns quality scores that are in good agreement with human evaluations. Our algorithm utilizes a statistical model for wavelet coefficients and computes features that exploit the fact that quantization produces more zero coefficients than expected for natural images. The algorithm is trained and tested on data obtained from human observers, and performs close to the limit on useful prediction imposed by the variability between human subjects.

关键词： image compression

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