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173 results on '"Yan, Gaowei"'

10. An Improved A* Algorithm Based on Localizability Estimation for Mobile Robots

Author

Yang, Rui, Dai, Kun, Yan, Gaowei, Cheng, Lan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, and Deng, Zhidong, editor

Published
2022
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16. Coal flow detection method for conveyor belt based on TOF depth image restoration

Author

WANG Xinyue, QIAO Tiezhu, PANG Yusong, and YAN Gaowei

Subjects
belt conveyor, coal flow detection, tof camera, depth image restoration, edge correction, Mining engineering. Metallurgy, TN1-997
Abstract

In the traditional belt conveyor coal flow detection device, the nuclear belt scale has certain safety and environmental protection hidden dangers, and the detection precision of electronic belt scale is easily affected by the factors such as belt tension and stiffness. Moreover, non-contact detection methods based on technologies such as ultrasound, linear laser stripes and binocular vision have problems such as poor real-time performance and large measurement errors. A coal flow detection method for conveyor belt based on time-of-flight(TOF) depth image restoration is proposed. The TOF camera is used to obtain the coal conveying image of the conveyor belt. The TOF image is equalized, and the frame difference method and the boundary following algorithm are used to remove the background noise and obtain the coal region of interest. In order to solve the problem of inaccurate edge information caused by flying pixel noise and multi-path error noise at the edge of TOF depth image, the intensity image-guided depth image restoration algorithm is proposed. The Canny edge detection algorithm is used to find similar edges between the depth image and the intensity image. Based on the effective edge information of the intensity image, the unreliable data of the edge of the depth image is corrected. Furthermore, the high-precision depth images are obtained based on Navier-Stokes equation and median filter. The coal area is divided at the pixel level, the coal volume calculation model is established to obtain coal flow of conveyor belt by combining the conveyor belt speed. The experimental results show that the detection error is less than 3.78%, the standard deviation is less than 0.491 and the average processing time is 83 ms, which meets the actual production requirements.

Published
2022
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21. Unsupervised Regression Model of Geodesic Flow Kernel Based on Dynamic Independent Component Analysis and Dynamic Principal Component Analysis

Author

LAI Yanbo, YAN Gaowei, CHENG Lan, and CHEN Zehua

Subjects
soft sensor, geodesic flow kernel, dynamic characteristics, dynamic independent component analysis, dynamic principal component analysis, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989
Abstract

It is difficult to accurately measure parameters by using the traditional soft sensor algorithm when the working condition of industrial process is changed. Therefore, a transfer learning strategy is introduced based on geodesic flow kernel to solve this problem. At the same time, the method is optimized to solve the problems of dynamic characteristic extraction and incomplete Gaussian distribution in industrial process. The augmented matrix is first constructed to deal with the dynamic characteristics of the process. Independent component analysis and principal component analysis are performed on the processed data to extract the non-Gaussian and Gaussian information of the source domain and the target domain. Then, the non-Gaussian and Gaussian information of the source domain is adapted to the target domain respectively on the Grassmann manifold. Finally, the maximum mean discrepancy is used to measure the distribution between the source domain and the target domain after domain adaptation, and the calculated results are applied to construct the weight of the model based on the source domain after domain adaptation. The results show that the method not only reduces the difference of distribution between the source domain and the target domain, but also solves the problems of dynamic characteristic extraction and incomplete Gaussian distribution in industrial process. The validity and the practicability of the model are proved by experiments on Tennessee Eastman data.

Published
2020
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28. Speed regulation energy saving method of belt conveyor based on preview control

Author

HAN Dongsheng, DU Yonggui, PANG Yusong, QIAO Tiezhu, and YAN Gaowei

Subjects
belt conveyor, preview control, kalman filter, speed regulation, energy saving, Mining engineering. Metallurgy, TN1-997
Abstract

Current speed regulation energy saving methods all regulate speed of belt conveyor in short time, and speed mutation is easy to cause tear and slipping of belt conveyor. In view of above problem, a speed regulation energy saving method of belt conveyor based on preview control was proposed. According to material carrying capacity of preceding belt conveyor, speed which makes succeeding belt conveyor run at rated carrying capacity is calculated, and running speed of the succeeding belt conveyor is adjusted through preview control. Aiming at negative influence of noise on speed regulation effect, Kalman filter is used to estimate state of the controlled belt conveyor in the process of preview control, which can weaken noise interference and smooth speed regulation process. The simulation results show that the method can fully utilize carrying capacity of belt conveyor, reduce power consumption of belt conveyor, and achieve purpose of speed regulation and energy saving on the basis of ensuring safe operation of belt conveyor.

Published
2018
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40. Knowledge-Based Genetic Algorithms

Author

Yan, Gaowei, Xie, Gang, Chen, Zehua, Xie, Keming, Carbonell, Jaime G., editor, Siekmann, J\'org, editor, Wang, Guoyin, editor, Li, Tianrui, editor, Grzymala-Busse, Jerzy W., editor, Miao, Duoqian, editor, Skowron, Andrzej, editor, and Yao, Yiyu, editor

Published
2008
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41. Application of BP Network-Based Multi-sensor Fusion Techniques in Measurement of the Unburned Carbon in Fly Ash

Author

Yan, Gaowei, Xie, Gang, Xie, Keming, Chen, Zehua, Wang, Hongbing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Liao, Xiao-Feng, editor, and Yi, Zhang, editor

Published
2005
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42. The Application of IMEA in Nonlinearity Correction of VCO Frequency Modulation

Author

Yan, Gaowei, Xie, Jun, Xie, Keming, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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43. MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge

Author

Yan, Gaowei, Xie, Gang, Qiu, Yuxia, Chen, Zehua, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Ślęzak, Dominik, editor, Wang, Guoyin, editor, Szczuka, Marcin, editor, Düntsch, Ivo, editor, and Yao, Yiyu, editor

Published
2005
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47. A novel control strategy for balancing traffic flow in urban traffic network based on iterative learning control

Author

Fei Yan, Yan Gaowei, Zhongke Shi, Tian Jianyan, and Mifeng Ren

Subjects
Statistics and Probability, 0209 industrial biotechnology, Mathematical optimization, Computer science, Control (management), Iterative learning control, 02 engineering and technology, Condensed Matter Physics, Traffic flow, 01 natural sciences, 010305 fluids & plasmas, Domain (software engineering), Nonlinear system, 020901 industrial engineering & automation, 0103 physical sciences, Convergence (routing), Traffic network
Abstract

Realistic modeling traffic flow dynamics in urban traffic network remains a big challenge at present due to the complex nonlinear characteristics of traffic flow. In this paper, a novel and model-free iterative learning control (ILC) strategy for balancing traffic flow in urban traffic network is proposed. To tackle the randomly varying trial lengths in the iteration domain of traffic system, an iterative-average operator is introduced in the proposed ILC law for tracking tasks with non-uniform trial lengths, which thus mitigates the requirement on classic ILC that all trial lengths must be identical. The learning convergence condition of the ILC strategy in iteration-average and expectation is derived through rigorous analysis. The performance and the effectiveness of the ILC strategy are analyzed by simulations on a test road network. The results show that the proposed ILC strategy can homogeneously balance the accumulation in the network and improve the network mobility.

Published
2018

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