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检索条件"主题词=gradient descent algorithm"

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A NOVEL SPATIALLY CONSTRAINED MIXTURE MODEL FOR IMAGE SEGMENTATION 19

A NOVEL SPATIALLY CONSTRAINED MIXTURE MODEL FOR IMAGE SEGMEN...

引用

19th International Conference on Digital Signal Processing (DSP)

作者： Xiao, Zhiyong Yuan, Yunhao Yang, Jinlong Ge, Hongwei Jiangnan Univ Sch Internet Things Engn Wuxi 214122 Peoples R China

ISBN: (纸本)9781479946129

We present a novel spatially constrained mixture model for image segmentation. This model assumes that the prior distribution for each pixel depends on its neighboring pixels', and the degree of dependency is decided by the geometric closeness. The negative log-likelihood function of the proposed method is viewed as energy function, and the parameters of the energy function are estimated by gradient descent algorithm. Evaluation of the developed method is done on synthetic and real world images. Experimental results are compared with those obtained using mixture model-based methods. The proposed approach performs better than other ones in terms of classification accuracy.

关键词： Mixture model spatial constraint energy function gradient descent algorithm image segmentation

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Intelligent controller using neural network

Intelligent controller using neural network

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International Conference on Intelligent Manufacturing (ICIM 95)

作者： WANG, J WANG, FL ZHANG, JL ZHANG, J NE UNIV TECHNOL DEPT AUTOMAT CONTROLSHENYANG 110006PEOPLES R CHINA

ISBN: (纸本)0819420123

This paper presents an intelligent PID controller based on a gradient descent learning algorithm. A BP neural network is needed to learn the characteristics of the dynamic systems. The possibility of using neural network models directly within a model-based predictive control strategy is also considered by making use of an on-line optimization routine to determine the future inputs that will minimize the deviation between the desired and predicted outputs. The controller's structure and the learning algorithm are very simple and easily realized. It can also replace the traditional PID controller, control the complex systems, and require neither process model nor more tuning parameters.

关键词： BP NEURAL NETWORKS PID CONTROLLER PREDICTIVE CONTROL NONLINEAR SYSTEMS gradient descent algorithm

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Optimal Stochastic Excitation for Linear Flaw Detection in a Solid Material 23rd

Optimal Stochastic Excitation for Linear Flaw Detection in a...

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23rd Iberoamerican Congress on Pattern Recognition (CIARP)

作者： Houhat, Nesrine Menigot, Sebastien Boutkedjirt, Tarek Drai, Redouane Girault, Jean-Marc Res Ctr Ind Technol CRTI POB 64 Algiers 16014 Algeria Eseo Grp Angers France CNRS LAUM Le Mans Iniversite UMR 6613 Le Mans France USTHB Fac Phys Phys Ultrasound Res Team Algiers Algeria

ISBN: (纸本)9783030134686;9783030134693

The field of ultrasonic nondestructive testing has known a great development during the recent years. In order to increase the flaw detection sensitivity, many improvements have been made in the equipment and the sensors technology. In the present work, the optimal command which maximizes the flaw detection is investigated experimentally. A parametric optimization consisting of finding the optimal excitation frequency which maximizes the Euclidean distance between a reference medium and a medium with a linear flaw has been obtained automatically by using the gradient descent algorithm. Moreover, the waveform excitation optimization has been considered. A set of stochastic signals have been transmitted to the medium. A closed loop optimization process based on a genetic algorithm allowed to find the optimal excitation without a priori knowledge on the shape of the signal. This optimal excitation converged to a sinusoidal pulse with the optimal frequency found by the parametric optimization.

关键词： Optimal command Nondestructive testing gradient descent algorithm Genetic algorithm Ultrasound

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Reference-Free Adaptive Attitude Determination Method Using Low-Cost MARG Sensors 12th

Reference-Free Adaptive Attitude Determination Method Using ...

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12th International Conference on Computer Vision Systems (ICVS)

作者： Ding, Jian Wu, Jin Deng, Mingsen Liu, Ming Guizhou Univ Finance & Econ Int Joint Res Ctr Data Sci & High Performance Com Sch Informat Guiyang Guizhou Peoples R China Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Peoples R China

ISBN: (纸本)9783030349950;9783030349943

In this paper, an improved iterative method for attitude determination using microelectromechanical-system (MEMS) Magnetic, Angular Rate, and Gravity (MARG) sensors is proposed. The proposed complementary filter is motivated by several existing algorithms and it decreases the amount of variables for iteration which consequently lowers the convergence time. To enhance the adaptive ability i.e. the performance under external acceleration, of the proposed method, a novel scheme is designed, where the gravity estimation residual is utilized for adaptive tuning of the complementary gain. Experiments are carried out to demonstrate the advantages of the proposed method. The comparisons with representative methods show that the proposed method is more effective, not only in convergence speed, but in dynamic performance under harsh conditions as well.

关键词： MEMS sensors Attitude determination MARG sensors Complementary filter gradient descent algorithm

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A Wireless Evaluation System for In-home Physical Rehabilitation 29

A Wireless Evaluation System for In-home Physical Rehabilita...

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第29届中国控制与决策会议

作者： Xiaoming Zhang Lin Xu Yang Zhang Institute of Robotics and Automatic Information System Nankai University Tianjin Key Laboratory of Intelligent Robotics

ISBN: (纸本)9781509046584

This paper describes an evaluation system, which can visually display and evaluate the user's performance in his physical rehabilitation. The system is composed of a body sensor network with low cost MEMS inertial measurement units(IMUs), which is capable of measuring the orientations of all body joints. Every joints orientation is represented relative to its parent joint according to human skeleton and they are used as features to evaluate. The system uses OGRE(Object-Oriented Graphics Rendering Engine) to reconstruct and display the three-dimensional motion of a human body in virtual scenes on computers. To evaluate the user's performance of rehabilitation, the body motion data are analyzed with Dynamic Time Warping(DTW) algorithm, and are compared with the standard motion sequences from health experts. The DTW algorithm can measure the distance between sequences of varying speed, and avoid the problem of different speed of doing a same motion.

关键词： micro inertial measurement unit(IMU) Dynamic Time Warping(DTW) motion capture physical rehabilitation gradient descent algorithm wireless sensor network

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Single-Phase Grid-Connection Inverter Control Strategy Based on Echo State Network

Single-Phase Grid-Connection Inverter Control Strategy Based...

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IEEE/IAS Industrial and Commercial Power System Asia (IEEE I and CPS Asia)

作者： Nie, Kaizhe Gao, Feng Shandong Univ Sch Control Sci & Engn Jinan Peoples R China

ISBN: (纸本)9798350339345

Single-phase inverters are becoming increasingly important and popular because of the rise of distributed renewable energy. The mainstream single-phase inverter control methods include proportional resonance (PR) control and proportional integral (PI) control, which need to adjust parameters according to manual experience. In this article, an echo state network (ESN) controller is designed to control L-filter single phase inverter. Firstly, the relevant factors affecting the modulation wave required by PWM are selected by analyzing the working principle of the inverter circuit. Secondly, the nonlinear relationship between them and the modulated wave is established by ESN and gradient descent (GD) algorithm to achieve high-precision approximation of the modulated wave, which avoids the problem of artificial parameter adjustment. Finally, the simulation is carried out on MATLAB/Simulink platform. The experiments show that the ESN controller can not only accurately approximate the modulation signal required to realize the inverter control, but also compared with PR controller and PI controller, the ESN controller can realize stable grid-connection without adjustment in the initial state, and has good dynamic performance.

关键词： single-phase inverter echo state network gradient descent algorithm pulse width modulation

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gradient-BASED SOLUTION OF MAXIMUM LIKELIHOOD ANGLE ESTIMATION FOR VIRTUAL ARRAY MEASUREMENTS

GRADIENT-BASED SOLUTION OF MAXIMUM LIKELIHOOD ANGLE ESTIMATI...

引用

IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Vouras, Peter Weiss, Alec Becker, Maria Jamroz, Ben Quimby, Jeanne Williams, Dylan Remley, Kate NIST Wireless Networks Div Gaithersburg MD 20899 USA NIST Metrol Wireless Syst Grp Boulder CO USA Hastings Coll Law Hastings NE USA

ISBN: (纸本)9781728112954

Precise measurement and characterization of millimeter wave channels requires antennas capable of high angular resolution to resolve closely spaced multipath sources. To achieve angular resolution on the order of a few degrees these antennas must be electrically large which is impractical for phased array architectures at millimeter wave frequencies. An alternative approach is to synthesize a virtual aperture in space by using an accurate mechanical positioner to move a receive antenna to points along a sampling grid. An advantage of creating virtual apertures is that the received signal is digitized at every spatial sample position which enables the use of sophisticated angle estimation algorithms such as maximum likelihood (ML) techniques. The main contribution of this paper is a new gradient-based implementation of maximum likelihood angle estimation that was demonstrated on virtual array data collected at 28 GHz using a vector network analyzer (VNA).

关键词： maximum likelihood angle estimation synthetic aperture virtual array millimeter wave channel sounding gradient descent algorithm

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Numerical analysis of hybrid adaptive optics system for correcting beacon anisoplanatism and thermal blooming

Numerical analysis of hybrid adaptive optics system for corr...

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Conference on Advanced Wavefront Control: Methods, Devices, and Applications V

作者： Belen'kii, Mikhail S. Rye, Vincent Runyeon, Hope Trex Enterprises Corp San Diego CA 92121 USA

ISBN: (纸本)9780819468598

A concept of a Hybrid Wavefront-based Stochastic Parallel gradient Decent (WSPGD) Adaptive Optics (AO) system for correcting the combined effects of Beacon Anisoplanatism and Thermal Blooming is introduced. This system integrates a conventional phase conjugate (PC) AO system with a WSPGD AO system. It uses on-axis wavefront measurements of a laser return from an extended beacon to generate initial deformable mirror (DM) commands. Since high frequency phase components are removed from the wavefront of a laser return by a low-pass filter effect of an extended beacon, the system also uses off-axis wavefront measurements to provide feedback for a multi-dithering beam control algorithm in order to generate additional DM commands that account for those missing high frequency phase components. Performance of the Hybrid WSPGD AO system was evaluated in simulation using a wave optics code. Numerical analysis was performed for two tactical scenarios that included ranges of L = 2 km and L = 20 km, ratio of aperture diameter to Fried parameter, D/r(0), of up to 15, ratio of beam spot size at the target to isoplanatic angle, theta(B)/theta(0), of UP to 40, and general distortion number characterizing the strength of Thermal Blooming, N-d = 50, 75, and 100. A line-of-sight in the corrected beam was stabilized using a target-plane tracker. The simulation results reveal that the Hybrid WSPGD AO system can efficiently correct the effects of Beacon Anisoplanatism and Thermal Blooming, providing improved compensation of Thermal Blooming in the presence of strong turbulence. Simulation results also indicate that the Hybrid WSPGD AO system outperforms a conventional PC AO system, increasing the Strehl ratio by up to 300% in less than 50 iterations. A follow-on laboratory demonstration performed under a separate program confirmed our theoretical predictions.

关键词： turbulence Thermal Blooming adaptive optics wavefront sensor beam control gradient descent algorithm

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Detection of Bio-signals from Body Movement Based on High-Dynamic-Range Doppler Radar Sensor (Invited)

Detection of Bio-signals from Body Movement Based on High-Dy...

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IEEE MTT-S International Microwave Workshop on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO)

作者： Lv, Qinyi Dong, Yazhou Sun, Yongzhi Li, Changzhi Ran, Lixin Zhejiang Univ Lab Appl Res Electromagnet ARE Hangzhou 310027 Zhejiang Peoples R China Natl Key Lab Sci & Technol Space Microwave Xian 710100 Peoples R China Nanjing Inst Elect Equipment Nanjing 210007 Jiangsu Peoples R China Texas Tech Univ Dept Elect & Comp Engn Lubbock TX 79424 USA

ISBN: (纸本)9781479985432

Doppler radar sensor has been widely used in noncontact bio-signal monitoring. This paper aims at recovering bio-signals from body movement. To solve the severe phase wrapping and saturation problems in large-scale body movement, as well as unwanted DC offsets and gradual changes of received microwave power problems, curve fitting technology is employed to compensate for the large-scale body movement to recover small-scale bio-signal based on a digital-IF structured, high-dynamic-range Doppler radar sensor and linearized demodulated algorithms. Experimental validations show weak bio-signal hidden in the strong body movement noise can be well extracted.

关键词： Doppler radar curve fitting DACM algorithm gradient descent algorithm bio-signal

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A PSO algorithm with Multi-Grouping and Two-Layer Structure 3

A PSO Algorithm with Multi-Grouping and Two-Layer Structure

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3rd International Conference on Data Science and Business Analytics (ICDSBA)

作者： Zeng, Tiaojun Wang, Chuanjian Wei, Zhangliang Shihezi Univ Comp Dept Shihezi Peoples R China Southeast Univ Minist Educ Key Lab Comp Network & Informat Integrat Nanjing Peoples R China

ISBN: (纸本)9781728146447

A PSO (particle swarm optimization) algorithm with multiple groups and two-layer structure(MTPSO) is proposed. First, the whole particle swarm is divided into several groups, each one is optimized. For enhance efficiency in the optimization process, each particle adopts a mixed algorithm of negative gradient. Secondly, according to the function value of each particle solution, the particle group is divided into two structures: the elite layer and the ordinary layer. In the algorithm initialization phase, the particles with the best value in each group are selected into the elite layer. The particles in the elite layer are relatively fixed and regularly selected (similar to the parliamentary mechanism in human society), that is, each elite layer as a whole. After several iterations of optimization calculations in the same way as the normal layer, the new elite layer is formed again according to the previou method. The optimal solution calculated by the elite layer is added as a global optimal solution to the position update formula of each particle. Similarly, the optimal solution for the common layer is also added to the update formula for each particle in the elite layer. It reflects the upper and lower particle's mutual penetration and mutual influence of. Simulation experiments show the proposed algorithm is able to avoid premature and powerful global optimization ability and fast convergence, PSO's computing efficiency.

关键词： Particle Swarm Optimization Multiple grouping Two-layer structure gradient descent algorithm

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