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检索条件"主题词=Algorithm development"

共 1737 条记录，以下是451-460 订阅

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Explore the Rapid Prototyping of Advanced Flight Control algorithms: From Simulation to Actual Flight 5

Explore the Rapid Prototyping of Advanced Flight Control Alg...

引用

5th International Conference on Control, Automation and Robotics (ICCAR)

作者： Li, Zengyan Liu, Zhenxing Ding, Bocheng Liao, Xudong Hu, Hao Northwest Inst Nucl Technol Xian Peoples R China

ISBN: (纸本)9781728133263

A rapid prototyping solution for advanced flight control algorithms of our autopilot is presented. Furthermore, the flight test system from theory to actual flight is developed to narrow the gap between the theory and the practice. Firstly, how to build the system structure and development process is introduced. Secondly, the autopilot which is capable of controlling multiple vehicle types from open source is selected and improved. Then the ability to conduct tests in software and hardware in the loop has been developed, to enable safe testing of algorithms, which will speed up the development process. Consequently, in the simulation, the autopilot passing the validation can be directly moved on to the UAV with little code and parameter modification. Finally, the process from simulations to actual flight test is performed and the results illustrate that the method of rapid prototyping design reduces the workload significantly, and can be used to shorten the development cycle.

关键词： UAV autopilot algorithm development rapid prototyping code generation software in the loop hardware in the loop

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Fourier Analysis of Mitochondrial Distribution in Oocytes

Fourier Analysis of Mitochondrial Distribution in Oocytes

引用

Conference on Three-Dimensional and Multidimensional Microscopy - Image Acquisition and Processing XVIII

作者： Hollmann, Joseph L. Brooks, Dana H. Newmark, Judith A. Warner, Carol M. DiMarzio, Charles A. Northeastern Univ Dept Elect & Comp Engn Dana Res Ctr 409 360 Huntington Ave Boston MA 02115 USA Northeastern Univ Dept Biol Mugar Life Sci 134 Boston MA 02115 USA Compucyte Boston MA 02115 USA Northeastern Univ Dept Mech & Ind Engn Boston MA 02115 USA

ISBN: (纸本)9780819484413

This paper describes a novel approach to quantifying mitochondrial patterns which are typically described using the qualitative terms "diffuse" "aggregated" and are potentially key indicators for an oocyte's health and survival potential post-implantation. An oocyte was isolated in a confocal image and a coarse grid was superimposed upon it. The spatial spectrum was calculated and an aggregation factor was generated. A classifier for healthy cells was developed and verified. The aggregation factor showed a clear distinction between the healthy and unhealthy oocytes. The ultimate goal is to screen oocytes for viability preimplantation, thus improving the outcome of in vitro fertilization (IVF) treatments.

关键词： Spatial frequencies Image analysis Confocal microscopy 3D image processing algorithm development MATLAB Digital image correlation Microscopes Microscopy Visualization

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COULOMB'S LAW PARTICLE FLOW FOR NONLINEAR FILTERS

COULOMB'S LAW PARTICLE FLOW FOR NONLINEAR FILTERS

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Conference on Signal and Data Processing of Small Targets

作者： Daum, Fred Huang, Jim Noushin, Arjang Raytheon Co. (United States)

ISBN: (纸本)9780819487476

We have invented a new theory of exact particle flow for nonlinear filters. The flow of particles corresponding to Bayes' rule is computed from the gradient of the solution of Poisson's equation, and it is analogous to Coulomb's law. Our theory is a radical departure from other particle filters in several ways: (1) we compute Bayes' rule using a flow of particles rather than as a pointwise multiplication;(2) we never resample particles;(3) we do not use a proposal density;(4) we do not use importance sampling or any other MCMC algorithm;and (5) our filter is roughly 6 to 8 orders of magnitude faster than standard particle filters for the same accuracy.

关键词： Particles Nonlinear filtering Particle filters algorithm development Convolution Monte Carlo methods Palladium algorithms Diffusion Physics

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COMBINED GRAY-LEVEL AND MOTION SEGMENTATION FOR VERY LOW BIT-RATE CODING

COMBINED GRAY-LEVEL AND MOTION SEGMENTATION FOR VERY LOW BIT...

引用

Conference on Advanced Image and Video Communications and Storage Technologies

作者： GU, C SWISS FED INST TECHNOL SIGNAL PROC LABCH-1015 LAUSANNESWITZERLAND

ISBN: (纸本)0819418021

A region-based multi-criterion segmentation algorithm for image sequence coding is described in this paper. It is based on morphological segmentation, motion estimation, and compensation techniques. The concept of multi-criterion is introduced in the traditional gray-level segmentation process, which takes into account the high temporal redundancy. The current image is segmented into two different kinds of regions: homogeneous gray-level regions coded by texture modeling method or homogeneous motion regions represented by motion compensation. No prediction error needs to be transmitted. Contours are simplified by a new non-linear filter. Preliminary experimental results have demonstrated high potential performance, with the combination of the power of contour-texture approach and that of the motion compensation technique, for very low bitrate image sequence coding.

关键词： Image segmentation Image compression Motion estimation Image processing algorithms and systems Motion models Nonlinear filtering Image filtering Video 3D image processing algorithm development

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FAST STOCHASTIC GLOBAL OPTIMIZATION 2

FAST STOCHASTIC GLOBAL OPTIMIZATION

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CONF ON NEURAL AND STOCHASTIC METHODS IN IMAGE AND SIGNAL PROCESSING 2

作者： BILBRO, GL North Carolina State Univ. (United States)

ISBN: (纸本)0819412813

A new stochastic optimization algorithm is introduced in which a pipeline of many biased stochastic procedures cooperate to concurrently sample the usual Boltzmann distribution for different temperatures. Convergence and efficiency of the pipeline algorithm is proved under certain conditions. Experimental confirmation is provided using seven standard test problems in nonlinear optimization.

关键词： Stochastic processes Optimization (mathematics) algorithms algorithm development Astatine Detection and tracking algorithms Signal processing Computer engineering Computer simulations Differential equations

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RECOGNIZING THE UNTRAINED PATTERNS IN A NONITERATIVE PERCEPTRON LEARNING SCHEME 2

RECOGNIZING THE UNTRAINED PATTERNS IN A NONITERATIVE PERCEPT...

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CONF ON SCIENCE OF ARTIFICIAL NEURAL NETWORKS 2

作者： HU, CLJ TAN, JY CHENG, XJ EYNON, JR HUSSON, O Southern Illinois Univ./Carbondale (United States)

ISBN: (纸本)0819412023

As we reported previously, a deterministic hard-limited perceptron is a novel learning system in which the learning mechanism is different from most of the conventional learning systems. It is a noniterative, one-step learning system and yet is achieves most of the goals of the conventional learning. If an optimum algorithm is adopted in the design of this learning system, the learning is very fast and the recognition is very robust. This article reports the experimental results of several computer-implemented schemes of this novel learning system. It is seen that the system takes only one to two minutes to train several given patterns and the recognition of the untrained patterns is more than 80% successful. In one scheme, the recognition rate is almost 100% and the recognition is independent of the pattern size, pattern orientation, and pattern location.

关键词： Detection and tracking algorithms Analog electronics algorithm development Artificial neural networks Computing systems Lithium Quantization algorithms Machine learning Neural networks

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Image reconstruction from minimum helical cone-beam projections

Image reconstruction from minimum helical cone-beam projecti...

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Medical Imaging 2004 Conference

作者： Zou, Y Pan, XC Univ Chicago Dept Radiol Chicago IL 60637 USA

ISBN: (纸本)0819452831

We proposed a new reconstruction algorithm for image reconstruction from helical cone-beam data only within the Tam-Danielsson window, thus allowing the potential reduction of radiation dose to patients. The new algorithm can be expressed as two terms. The first term dominates the contribution to the reconstructed image, and the second term provides only a small correction. In fact. such a correction is generally negligible as compared to that from the first term and introduces a detectable DC-type shift to the reconstructed images only in the situations where the ratio between the size of field of view and the helical radius approaches to 0.625, which is the limit to the validity of the first term. Based on the Grangeat formula. we have developed an algorithm to calculate the correction (i.e., the second) term from the data within the window.

关键词： Reconstruction algorithms algorithm development Image restoration Image segmentation Sensors Radon transform 3D image processing Computed tomography Fourier transforms Solids

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ENHANCEMENT OF VIDEO IMAGERY BY MODIFIED INTENSITY-DEPENDENT SPATIAL SUMMATION

ENHANCEMENT OF VIDEO IMAGERY BY MODIFIED INTENSITY-DEPENDENT...

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CONF ON VIDEO AND IMAGE PROCESSING

作者： HARNDEN, PG HOLLY, FF SHIRES, DR U.S. Army Research Lab. (United States)

ISBN: (纸本)0819411361

A contrast-enhancement algorithm has been developed that avoids the often `flat,' noisy appearance produced by techniques that rely solely on the quantization properties of the input image. The algorithm is based on the theory of intensity-dependent spatial summation (IDS) which was first reported by Cornsweet and Yellot (1985). The initial intent of their paper was to demonstrate the theory's ability to replicate certain well-known effects in human vision, such as Mach bands, Ricco's Law, and Weber's Law. The model's implementation as an image enhancement routine has predominantly emphasized its ability to enhance edges. We have modified the IDS model to produce enhancement not only at the edges but throughout the entire image profile. Enhancement is achieved by minimizing the size of the point-spread functions generated over the input. Dramatic contrast gain is realized while limiting the amount of blur introduced to the output. As a comparison to histogram equalization, which possibly collapses quantization levels while balancing their distribution, and to IDS, which resolves the quantization levels of the image towards a uniform level (except at the edges), our algorithm preserves the original brightness gradations as it expands them. Thus, the shape- from-shading cues so important to the perception of form and contour are both preserved and enhanced.

关键词： Image enhancement Image processing Video processing Saturn Digital image processing Quantization Visual process modeling algorithm development Digital imaging Video

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Kinetic Parameter Reconstruction for Motion Compensation in Transmission Tomography

Kinetic Parameter Reconstruction for Motion Compensation in ...

引用

Conference on Computational Imaging IX

作者： Yu, Zhou Thibault, Jean-Baptiste Wang, Jiao Bouman, Charles A. Sauer, Ken D. GE Healthcare Technol W-11803000 N Grandview Blvd Waukesha WI 53188 USA Univ Notre Dame Dept Elect Engn Notre Dame IN 46556 USA Purdue Univ Sch Elect Engn W Lafayette IN 47907 USA

ISBN: (纸本)9780819484109

Model based iterative reconstruction (MBIR) algorithms have recently been applied to computed tomography and demonstrated superior image quality. This algorithmic framework also provides us the flexibility to incorporate more sophisticated models of the data acquisition process. In this paper, we present the kinetic parameter iterative reconstruction (KPIR) algorithm which estimates voxel values as a function of time in the MBIR framework. We introduce a parametric kinetic model for each voxel, and estimate the kinetic parameters directly from the data. Results on phantom study and clinical data show that the proposed method can significantly reduce motion artifacts in the reconstruction.

关键词： Reconstruction algorithms Motion models Data modeling algorithm development CT reconstruction Image quality Tomography Data acquisition Image analysis Computed tomography

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Simple Linear Regression Model Based Data Clustering 29

Simple Linear Regression Model Based Data Clustering

引用

SPIE's Conference on Automatic Target Recognition XXIX

作者： Li, Bingcheng Lockheed Martin MST Owego 1801 State Route 17CMD0315 Owego NY 13827 USA

ISBN: (纸本)9781510626423

KMeans is one of most popular algorithms in data mining (ranking number 2) and has be widely used in many fields. KMeans uses Euclidean distance to compare two data. However Euclidean distance is sensitive to linear transform in data collection process. Due to these linear transforms, the distance between two data points for the same class (intra-class distance) may larger than those for different classes (inter-class distance) that may cause low clustering performance for KMeans algorithm. In this paper, we propose simple linear regression approach for data clustering. Instead of using Euclidean distance to measure the difference, we recommend using the goodness of fitting (or normalized cross correlation) to measure the similarity and compare two data points. Using this new data comparison technique, we introduce linear regression approach for data clustering and demonstrate that the proposed method has higher performance and low computational cost than KMeans methods.

关键词： Data modeling Data processing Distance measurement algorithm development Computer security Data compression Data mining Lithium Quantization Signal processing

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