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检索条件"机构=China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex System"

共 1563 条记录，以下是1171-1180 订阅

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Research on Pupil Center Localization in Eye Gaze Tracking system

Research on Pupil Center Localization in Eye Gaze Tracking S...

引用

第37届中国控制会议

作者： Xing Jin Zhicheng Li Jingjing Zhang Xiang Yang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The human-computer interaction technology which based on the gaze tracking system is convenient and fast. It can achieve the purpose of sight and computer interaction. Based on the relatively static head tracking system, we make improvements for OTSU algorithm to separate the binarized pupil image and the background image completely. I wrote a function to delete a small area that gets a complete and clear binarized pupil image for the existence of small area noise clump. Finally, using the contour extraction method and the three-point circle method to complete the task of Pupil location.

关键词： Gaze tracking system Otsu algorithm Pupil location

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Improving Training-based Reflectance Reconstruction via White-balance and Link Function

Improving Training-based Reflectance Reconstruction via Whit...

引用

第37届中国控制会议

作者： Li-Jun Zhang Jun Jiang Hui Jiang Jing-Jing Zhang Xing Jin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

An improved spectral reflectance reconstruction method is developed to transform camera RGB to spectral reflectance by inserting white balance and link function during the training-based method. The novelty in our method is the use of whitebalancing to normalize the scene illumination and link function to transform the reflectance, we use a radial basis function network to model the mapping between camera-specific RGB values and specific reflectance spectra. Experimental results indicate that the proposed method significantly outperforms currently existing methods in terms of spectral error and shape especially under the illumination not present in the training process.

关键词： Reflectance reconstruction Training-based White-balance Link function Radial basis function network

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An Initiative Service Method with Regard to Degree of Sleepiness for Drinking Service Robot

An Initiative Service Method with Regard to Degree of Sleepi...

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第37届中国控制会议

作者： Zhen-Tao Liu Si-Han Li Wei-Hua Cao Man Hao Lin-Bo Xian School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

To ensure the efficiency of people’s work while working long hours,an initiative service method with regard to degree of sleepiness for drinking service robot is *** can recognize the degree of sleepiness and provide initiative service to increase the efficiency of people’s *** of sleepiness is defined as three levels by observer rating,which is supposed to be associated with human actions,environmental factors,and individual *** addition,a model of degree of sleepiness based on Finite State Machines（FSM） is *** relationship between human demands and degree of sleepiness is established through demand analysis model by which the initiative service with regard to degree of sleepiness for drinking service robot is *** on real initiative drinking service are performed in a multimodal emotional communication based on human-robot interaction（MEC-HRI） system,from which the experimental results show that the time of initiative service is 8 minutes earlier than that without initiative *** prospect,the proposal could be applied to other kinds of services such as health care,safety driving assistance,and other safety work assistance.

关键词： Service Robot Sleepiness Initiative Service Finite State Machines Human-Robot Interaction

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Quick and Effective Position control for Planar n-link Underactuated Manipulators Based on Optimization Algorithm

Quick and Effective Position Control for Planar n-link Under...

引用

第37届中国控制会议

作者： Pan Zhang Xuzhi Lai Yawu Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In this paper,a simple one-stage control strategy is developed based on optimization algorithm to quickly realize the position control of a planar n-link（n ≥ 3） underactuated manipulator with a passive first *** continuous control of a planar three-link underactuated manipulator with a passive first joint can be realized,and so can the planar n-link（n ≥ 3） ***,one problem that the number of the variables needing to be optimized will increase with the increase of the number of the links will ***,considering the planar three-link manipulator can be controlled to reach to any target position,we employ the differential evolution（DE） algorithm to optimize the angles of only two active links and the design parameters of the corresponding ***,the angles and the corresponding design parameters of other n — 3 active links are kept being *** this way,all link angles can simultaneously converge to their target *** a planar four-link underactuated manipulator with a passive first joint as an example,the simulation results verify the effectiveness and rapidity of the proposed strategy.

关键词： Planar underactuated manipulators First-order nonholonomic system Differential Evolution algorithm Position control One-stage control

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A Safety Assessment Method Based on Online Sequential Extreme Learning Machine（OS-ELM） in Deep Drilling Process

A Safety Assessment Method Based on Online Sequential Extrem...

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第37届中国控制会议

作者： Yupeng Li Weihua Cao Chao Gan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Accurate and timely assessment of drilling system is key for achieving safety and efficiency in deep drilling. In this paper, an online assessment model is proposed by applying online sequential extreme learning machine（OS-ELM）. The model has been tested through the actual drilling data for drilling system safety assessment and accidents early warning. By analyzing the mechanism characteristics of accidents, well logging parameters are chosen as the input and accident types are chosen as the output. Owing to the OS-ELM is capable of updating network parameters based on new arriving data without retraining historical data, the model can be updated online for specific formation accidents information to make it more adaptable to a particular environment. The numerical test results show that, comparing with other widely used assessment techniques like support vector machines（SVM） and back propagation（BP）, the proposed model has a higher accuracy and shorter recognition time.

关键词： safety assessment extreme learning machine deep drilling online learning

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Optimization Method for Carbon Efficiency in the Green Manufacturing of Sinter Ore and Its Application

Optimization Method for Carbon Efficiency in the Green Manuf...

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第37届中国控制会议

作者： Kailong Zhou Xin Chen Weihua Cao School of Automation China University of Geoscience Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Sintering process is the second most energy-consuming process in steel making and the main energy consumption of the process is the combustion of carbon. Under the background of the transformation of the world’s major economies to the low carbon economy, to improve the carbon efficiency for saving energy and reducing undesired emissions is of great *** this paper, the comprehensive coke ratio（CCR） is taken as the index of the carbon efficiency. Mechanism analysis was carried out to analyze the influences of the CCR and a predictive model of the CCR based on back-propagation neural network（BPNN）is built that contains state parameters predictive model and the CCR predictive model. Then the optimization method for the CCR is formulated, which aims to minimize the CCR by optimizing the operating parameters. Finally, the method was implemented in an intelligent optimization and control system for carbon efficiency（IOCSCE） in an iron and steel plant. The running results show that the method can reduce the CCR by an average of 1.98 kg/t and effectively reduce the energy consumption of the sintering process. Thus, it can provide guidance for the operators of the sintering process and improve the carbon efficiency.

关键词： Sintering process Carbon efficiency Back-propagation neural network Optimization method intelligent optimization and control system

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An Improved control Strategy for Directional Drilling Attitude

An Improved Control Strategy for Directional Drilling Attitu...

引用

第37届中国控制会议

作者： Zhen Cai Xuzhi Lai Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

In the process of geological exploration, the development of automatic control is insufficient. The paper presents an improved strategy of attitude control for directional drilling tools used in the geological environment. The drilling kinematics model is linearized with the Taylor series, and the model linearization solves the nonlinear term of the azimuth *** PI controllers are used to control attitude inclination and azimuth, respectively. The results of the transient simulation are presented, and the control effect of improved performance are certificated.

关键词： Directional Drilling Drilling Tools Attitude control

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Image Jacobian Matrix Estimation based on Fuzzy Adaptive Robust Kalman Filter

Image Jacobian Matrix Estimation based on Fuzzy Adaptive Rob...

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第37届中国控制会议

作者： Zhenzhu Liu Xinmei Wang Zhenjiang Feng Zhongzhao Xie Shuai Ke School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Aiming at the problem of image Jacobian matrix estimation, this paper proposes a method to get the motion state estimation of the object feature point at the current time by using the combination of robust Kalman filter and fuzzy adaptive method from the image feature space, and the estimation of the image Jacobian matrix can be obtained. Firstly, an adaptive robust decorrelation Kalman filter algorithm with colored measurement noise is proposed by reconstructing process equation and measurement equation and combining the mathematical characteristics of the standard Kalman filter noise. Secondly, by monitoring if the ratio between theoretical residual and actual residual is near 1, the fuzzy inference system constantly adjust the weighted measurement noise covariance and recursively correct the measurement noise covariance of the adaptive Kalman filter, and thus be able to estimate the position and velocity of the object feature point at the current time in the image space more accurately, then the estimation of image Jacobian matrix can be achieved accurately under unknown dynamic environment. The feasibility and superiority of the proposed method can be verified by the simulation and experimental results.

关键词： Image Jacobian Matrix Estimation Robust Kalman Filter Fuzzy Adaptive

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Research on Digital Hearing Aid Speech Enhancement Algorithm

Research on Digital Hearing Aid Speech Enhancement Algorithm

引用

第37届中国控制会议

作者： Junlei Song Yuan Meng Junming Cao Jin Fang Kaifeng Dong Fang Jin Wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The microphone array speech enhancement algorithm（MASEA）, the minimum mean square error algorithm for short-time logarithmic spectrum estimation based on voice activity detection（VAD-LSA-MMSE）, and the Wiener filtering algorithm based on voice activity detection（VAD-Wiener） are currently the three most commonly used speech enhancement algorithms. Among them, the MASEA algorithm has some disadvantages such as poor noise reduction effect. VAD-LSA-MMSE algorithm has some disadvantages of relying on high SNR and introducing music noise, thereby reducing the intelligibility. The VAD-Wiener algorithm has some disadvantages such as higher SNR requirements. Aiming at the shortcomings of these three speech enhancement algorithms, based on the VAD algorithm and the MASEA algorithm, this paper proposed a new speech enhancement algorithm by combining the characteristics of Wiener filtering algorithm and LSA-MMSE algorithm. The new speech enhancement algorithm is a VAD-based microphone array speech enhancement algorithm（VAD-MASEA）. VAD-MASEA is better than the other three algorithms in noise reduction, speech enhancement and voice intelligibility, and has the characteristics of adapting to a lower SNR environment. This paper used MATLAB to carry out experimental research, including the new algorithm and the three existing algorithms were simulated and compared the signal waveforms of the four algorithms. Experimental results show that the proposed VAD-MASEA algorithm overcomes the high SNR requirement and can be used in low SNR environments and obtain highly intelligible enhanced signals.

关键词： Voice enhancement Wiener filtering VAD-LSA-MMSE

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Fast Automatic Localization of Epileptic Seizure Onset Zones Using complex Morlet Wavelet Transform-based Singular Value Decomposition

Fast Automatic Localization of Epileptic Seizure Onset Zones...

引用

第37届中国控制会议

作者： Zelin Fang Xiongbo Wan Ting Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A new method for localization of epileptic seizure onset zones（SOZs） is proposed, which uses the Shannon-entropybased complex Morlet wavelet transform to extract a satisfactory time-frequency feature of high-frequency oscillations（HFOs）.The singular value decomposition and the K-medoids clustering algorithm are employed to extract effective features from the redundant matrix of wavelet coefficients. A distinctive feature is to use the singular values to detect HFOs with the consideration that the singular values of HFOs are generally significantly higher than those of normal case. Based on the half-maximum method,the localization of SOZs are achieved by using the characteristics of HFOs. Comparisons show that our method provides a higher sensitivity and specificity than two existing methods do.

关键词： Epilepsy Seizure onset zone（SOZ） High-frequency oscillation（HFO） Singular value decomposition K-mediods clustering

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