检索结果-内蒙古大学图书馆

作者： Wang, Gang Zamzam, Ahmed S. Giannakis, Georgios B. Sidiropoulos, Nicholas D. State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China Digital Technology Center Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Department of Electrical and Computer Engineering University of Virginia CharlottesvilleVA22904 United States

Accurately monitoring the system's operating point is central to the reliable and economic operation of an autonomous energy grid. Power system state estimation (PSSE) aims to obtain complete voltage magnitude and angle information at each bus given a number of system variables at selected buses and lines. Power flow analysis amounts to solving a set of noise-free power flow equations, and is cast as a special case of PSSE. Physical laws dictate quadratic relationships between available quantities and unknown voltages, rendering general instances of power flow and PSSE nonconvex and NP-hard. Past approaches are largely based on gradient-type iterative procedures or semidefinite relaxation (SDR). Due to nonconvexity, the solution obtained via gradient-type schemes depends on initialization, while SDR methods do not perform as desired in challenging scenarios. This paper puts forth novel feasible point pursuit (FPP)-based solvers for power flow analysis and PSSE, which iteratively seek feasible solutions for a nonconvex quadratically constrained quadratic programming reformulation of the weighted least-squares (WLS). Relative to the prior art, the developed solvers offer superior numerical performance at the cost of higher computational complexity. Furthermore, they converge to a stationary point of the WLS problem. As a baseline for comparing different estimators, the Cramér-Rao lower bound is derived for the fundamental PSSE problem in this paper. Judicious numerical tests on several IEEE benchmark systems showcase markedly improved performance of our FPP-based solvers for both power flow and PSSE tasks over popular WLS-based Gauss-Newton iterations and SDR approaches. © 1991-2012 IEEE.

关键词： State estimation

来源：评论

学校读者我要写书评

暂无评论

A scale transform and deformation target tracking algorithm based on correlation filtering

引用

IOP Conference Series: Materials Science and Engineering 2019年第5期569卷

作者： Cong Hu Wei Xia Peng Chen Shun Huang Hui Guo Xing Jin School of Automation China University of Geosciences Wuhan 430074 China Hubeikey laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan 430074 China

In order to improve the robustness of the correlation filtering (CF) tracking algorithm and overcome the problem that the traditional correlation filtering method can not deal with the target's scale and deformation change, a feature-adaptive scale adaptive correlation filter tracking algorithm is proposed. Firstly, the target is characterized; then the output filter is calculated by using the correlation filter; finally, the image blocks of different scales are intercepted from the target position of the current frame, and the optimal estimation of the target scale is obtained by the adaptive scale pool model. The experiment selects multiple video sequences for testing and compares the proposed algorithm with other target tracking methods. The experimental results show that the average performance is better than the comparison method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Empirical Research on a Fuzzy Model of Music Emotion Classification based on Pleasure-Arousal Model

Empirical Research on a Fuzzy Model of Music Emotion Classif...

引用

第37届中国控制会议

作者： Siqi Huang Li Zhou Zhentao Liu Shan Ni Jingxian He School of Arts and Communication China University of Geosciences School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Affective computing plays a key role in music artificial intelligence, in which a music emotion classification model is indispensable. Both discrete classification model and continuous dimensional model are commonly used for music emotion classification. However, these models are not designed in views of composers, which is insufficient for the perception of music emotion. In this paper, a fuzzy music emotion classification model is proposed by extracting the music expression marks considering the composers emotion. Experiments on subjective evaluation in the feeling of pleasure and arousal according to the change of three selected features（i.e., tempo, register, and dynamic） are conducted by listeners from different subjects. The experimental results show that the correlation between the proposal fuzzy model and the the results from questionnaires reaches 80% on average, which demonstrate the validity of the proposed fuzzy music emotion classification model. The proposal could be applied to music emotion generation conveyed from either composers or players, and to emotion recognition of music as for audiences.

关键词： Music emotion Classification Affective computing Pleasure-Arousal model Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

Ionic liquid choline chloride-urea dissolving cattle bone extracted hydroxyapatite

引用

Journal of Bionanoscience 2018年第3期12卷 437-441页

作者： Song, Wei Yang, Yan Deng, Yu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Department of Osteo-Internal Medicine Tianjin Hospital Tianjin300211 China School of Materials Science and Chemical Engineering Tianjin University of Science and Technology Tianjin300457 China

The dissolving technique of ionic liquid (IL) was applied in extraction process of hydroxyapatite (HAp). Product HAp was extracted by IL choline chloride-urea (ChCl-Urea) dissolving cattle bone. The optimum conditions for regeneration process of cattle bone were determined by single factor, orthogonal and verification experiments. IR spectra of regenerated bone, undissolved bone and raw bone showed that the main groups of regenerated bone did not change. It was indicated that ionic liquid did not damage the bone collagen of raw bone, and the collagen was only dissolved by IL. IR spectrum of the product HAp revealed that its components were similar to those of the natural bone. SEM pattern showed that the crystal shape of the product HAp appeared rod-like shape mostly, and the crystal structure was relatively complete. XRD diffraction explained that there was no difference between product HAp and standard HAp for the crystalline form and compositions. Copyright © 2018 American Scientific Publishers All rights reserved.

关键词： Hydroxyapatite

来源：评论

学校读者我要写书评

暂无评论

Prediction of overhead transmission line ampacity based on extreme learning machine

引用

IOP Conference Series: Earth and Environmental Science 2020年第1期617卷

作者： Xu Jin Fudong Cai Mengxia Wang Yang Sun Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan Shandong 250061 China Shandong Senter Electronic Co. Ltd. Zibo Shandong 255088 China Zibo Vocational institute Zibo Shandong 255314 China

Caused by the fluctuation of weather conditions, the transmission line ampacity varies with time. For power system operators, the accurate forecast results of overhead transmission lines ampacity are very important and helpful in making planning and control decisions. To assist the system operators in making better use of the transfer capability of transmission lines, it is urgent to improve the ampacity forecast results. In this paper, a novel method based on the extreme learning machine (ELM) is proposed to predict the ampacity. Taking the historical weather and ampacity data as the input data, an ELM-based method can predict the ampacity rapidly and accurately. Numerical simulations based on the recorded actual weather data around a transmission line validate the efficiency of the ELM-based ampacity forecast method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

Chinese control Conference

作者： Zhen-Tao Liu Si-Han Li Wei-Hua Cao Man Hao Lin-Bo Xian Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Wuhan WXYZ Technologies Co. Ltd. Wuhan China

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 proposed. It can recognize the degree of sleepiness and provide initiative service to increase the efficiency of people's work. Degree of sleepiness is defined as three levels by observer rating, which is supposed to be associated with human actions, environmental factors, and individual factors. In addition, a model of degree of sleepiness based on Finite State Machines (FSM) is introduced. The 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 achieved. Experiments 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 service. In 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： Sleep Service robots Analytical models Environmental factors Temperature Brain modeling

来源：评论

学校读者我要写书评

暂无评论

Deep Forest-Based Classification of Hyperspectral Images

Deep Forest-Based Classification of Hyperspectral Images

引用

第37届中国控制会议

作者： Xu Yin Ruilin Wang Xiaobo Liu Yaoming Cai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Computer Science China University of Geosciences

The classification of hyperspectral images(HSIs) is a hot topic in the field of remote sensing technology. In recent years, convolutional neural network(CNN) has achieved great success for HSI classification. However, CNN has to do a great effort in parameters tuning which is time-consuming. Furthermore, a large number of samples are required to train CNN,nevertheless, it is expensive to obtain enough training samples from HSIs. In this paper, we propose a novel classification approach based on deep forest. To reduce the dimension of hyperspectral data, principal component analysis(PCA) is performed during the pre-processing. In contrast to the CNN, our method has fewer hyper-parameters and faster training speed. To the best of our knowledge, this is among the first deep forest-based hyperspectral spectral information classification. Extensive experiments are conducted on two real-world HSI datasets to show the proposed method is significantly superior to the state-ofthe-art methods.

关键词： Deep Forest Hyperspectral Image（HSI） Deep Neural Network（DNN） Principal Component Analysis（PCA）

来源：评论

学校读者我要写书评

暂无评论

To Improve Drilling Efficiency by Multi-objective Optimization of Operational Drilling Parameters in the complex Geological Drilling Process

To Improve Drilling Efficiency by Multi-objective Optimizati...

引用

第37届中国控制会议

作者： Chao Gan Weihua Cao Kangzhi Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical and Electronic Engineering Chiba University

Operational drilling parameters optimization is necessary for increase drilling efficiency in complex geological drilling process. There are four key objectives to evaluate the drilling efficiency, including drilling cost, rate of penetration（ROP）, drill bit life, and drill bit’s specific energy. In this paper, we proposed a multi-objective optimization method to improve drilling efficiency in the complex geological drilling process considering all the four key objectives. Firstly, the characteristics of complex geological drilling process and optimization problems are analyzed to find the vital process parameters and problems for drilling efficiency optimization. Then, a multi-objective optimization model which combines the four key objectives is ***, an improved nondominated sorting genetic algorithm（improved NSGA-II） is used to optimize the operational drilling parameters include weight on bit（WOB） and rotational speed（RS） to make drilling efficiency improved. The real case results demonstrate that our method increases the drilling efficiency in four key objectives and saves the simulation time. The proposed method provides the foundation for intelligent optimization control in complex geological drilling process.

关键词： Operational Drilling Parameters Multi-objective Optimization complex Geological Drilling Process Drilling Efficiency Improved NSGA-II

来源：评论

学校读者我要写书评

暂无评论

Design and Characterization of An Ultralow-Potential Drift Ag/AgCl Electric Field Sensor

Design and Characterization of An Ultralow-Potential Drift A...

引用

第37届中国控制会议

作者： Wang Luo Haobin Dong Jian Ge Huan Liu Bingjie Bai Cheng Zhang Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems Institute of Geophysics & Geomatics China University of Geosciences

This paper presents an all-solid porous Ag/Ag Cl electric field sensor with ultralow-potential drift for detecting the seafloor electric field signals. The superiority of porous electrode compared with flat electrode on the polarization stability is expounded, and the technological process using solid state agglomeration in developing the all-solid porous Ag/Ag Cl electrode core are described. Moreover, a new sensor shell is proposed. Numerous parameters, e.g., polarization resistance, self-potential, drift, etc., of the proposed electrode are tested. The experimental results show that the self-potential is less than ± 0.1 m V, the source resistance is less than 0.01Ω, and the drift potential is less than ±5μV/24 h, which indicate the superior performance of the proposed Ag/Ag Cl electric field sensor for marine electric field exploration.

关键词： Ag/AgCl electrode pair ultralow-potential drift electric filed sensor stability

来源：评论

学校读者我要写书评

暂无评论

Simulation and Experimental Study on Piezoelectric Geophone Core Based on PMN-PT

Simulation and Experimental Study on Piezoelectric Geophone ...

引用

第37届中国控制会议

作者： JunLei Song YanXia Huang ZhiHeng Yang MeiJuan Chen Yong Yang WenQin Mo KaiFeng Dong Fang Jin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Mathmatics and Physics China University of Geosciences

Piezoelectric geophones are vibration detectors that convert vibration acceleration signals into electrical signals. High performance piezoelectric materials can improve the sensitivity of piezoelectric geophone and meet the need of high-resolution seismic data acquisition. The comprehensive performance of relaxor piezoelectric single crystal PMN-PT is more superior than PZT, and it is potential to be applied to high sensitivity and small volume geophones. In this paper, the central compressed geophone core model based on PMN-PT was established and theoretically analyzed. Then, a multiphysics simulation model was set up in COMSOL for simulation calculation. Finally, experimental verification was carried out. The results show that using PMN-PT in geophone core design can improve the sensitivity of the model by more than 120% compared with the traditional PZT material. The PMN-PT has the potential to be applied to high sensitivity and small volume geophones.

关键词： PMN-PT PZT Piezoelectric geophone Seismic exploration Accelerometer

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：