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2017 International Conference on Radar Systems, Radar 2017

作者： Wang, Zhen Yang, Yanjiao Ding, Zegang Lin, Sheng Zhang, Tianyi Lv, Zheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781785615153

For the image registration of interferometric SAR, there is a contradiction between the registration accuracy and the robustness based on the traditional cross correlation and spectral diversity methods. To eliminate the contradiction, this paper proposes an image registration strategy combined with the respective advantages of above two methods. Its improvements are summarized as follows. Firstly, it divides the image registration process into two main steps. Step one is oriented to the image registration in the range direction based on cross correlation to enhance the robustness. Step two is oriented to the image registration in the azimuth direction based on spectral diversity to ensure the registration accuracy. Secondly, a method for detecting and correcting the singular values in the range pixels offsets is proposed in step one. It can reduce the impact of low-correlation regions. Finally, a hybrid filtering method is introduced for the azimuth pixels offsets in step two to reduce the impact of phase noise. Airborne dual-antenna data are employed to validate the effectiveness of the proposed strategy. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： Interferometry

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Multiple Kernel Learning for Representation-based Classification of Hyperspectral Images

Multiple Kernel Learning for Representation-based Classifica...

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第30届中国控制与决策会议

作者： Yu Qin Xiaoyong Bian Yuxia Sheng School of Computer Science Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Information Science and Engineenring Wuhan University of Science and Technology

In the paper we propose a multiple kernel learning framework for representation-based classification（MKLC） of hyperspectral images. Unlike the existing methods that often exploit the single feature extraction method or the single kernel method;moreover, the single feature representation and kernelized RC is biased and less stable due to the high coherence of the training samples. The proposed approach is different from traditional kernelized methods and characterized by multiple features and multiple kernel learning in a representation-based classification manner. Experimental results on several real HSI datasets demonstrate that the proposed method can achieve superior performance than the state-of-the-art classification methods.

关键词： Hyperspectral image (HSI) multiple kernels learning (MKL) multiple features representation-based classification

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Research on Steering Scheme of Long Semi-trailer

Research on Steering Scheme of Long Semi-trailer

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2018 International Conference on Computer Modeling, Simulation and Algorithm（CMSA2018）

作者： Xuwei Fang Xiaowei Fu Jun Zhou Xi Li College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Automation Huazhong University of Science and Technology

In the premise of meeting the kinematics, analyzing and optimizing the trafficability of long semi-trailer on the narrow road with obstacles on both sides. This paper gives a scheme by adjusting and designing wheelspa... 详细信息

关键词： long semi-trailer ackerman steering wheelspan wheelbase

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Feasibility study of inclined geosynchronous SAR focusing using Beidou IGSO signals

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Science China Earth Sciences 2016年第12期59卷 240-242页

作者： Xichao DONG Cheng HU Weiming TIAN Tian ZHANG Yuanhao LI Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology

Dear editor,Geosynchronous synthetic aperture radar(GEO SAR)[1,2]has an inclined geosynchronous orbit of around 36000 km,which leads to its short revisit time of around 24 hours and a wide coverage of up to approximately one third of the Earth *** long integration time guarantees the fine ***,GEO SAR owns the promising capability of providing images with the high resolution,

关键词：倾斜地球同步轨道 SAR 北斗聚焦信号

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Corundum production quality prediction based on support vector regression 12

Corundum production quality prediction based on support vect...

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12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017

作者： Ju, Li Zhou, Ju Zhang, Xiaolong Hubei Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan430065 China

ISBN: (纸本)9781538621035

Aiming at the problem that the production process of corundum refractory is complex and the product quality cannot be predicted effectively, a quality forecasting model based on support vector regression is proposed in this paper. Firstly, an effective data set is extracted according to corundum production characteristics. The least angle regression method is applied to select feature. Then linear combination method is used to obtain a customized kernel function for support vector regression model, where the model is optimized with cross-validation. The experimental results indicate the proposed model can predict corundum quality accurately and has good fitting ability and practicality. © 2017 IEEE.

关键词： Forecasting

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An improved genetic algorithm for task scheduling in cloud computing

An improved genetic algorithm for task scheduling in cloud c...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Shuang Yin Peng Ke Ling Tao College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial Wuhan University of Science and Technology Wuhan China

In cloud computing environment, task scheduling is one of the most critical issues to be solved. Efficient task scheduling mechanism not only meets users' requirements but also ensures cloud resources' high utilization, so as to improve the overall performance of the cloud computing environment. Aiming at this problem, a new scheduling algorithm based on double-fitness algorithm-load balancing and task completion cost genetic algorithm(LCGA) is proposed. The scheduling guarantees load balancing and makes task completion cost less. At the same time, this paper brings in not just variance to represent the load among computing workers but weights multi-fitness function. Through the simulation experiment, the proposed algorithm is being compared with the genetic algorithm based on load balancing (LGA) and the genetic algorithm based on task completion cost (CGA). It proves the effectiveness of the scheduling algorithm and the availability of the optimization method.

关键词： Task analysis Cloud computing Processor scheduling Genetic algorithms Load management Sociology Statistics

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Community discovery of complex network based on fuzzy density peak clustering algorithm

Community discovery of complex network based on fuzzy densit...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Ling Tao Wenjie Li Yu Jin Shuang Yin College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China

Based on the similarity measure of the complex network node and the improved density peak clustering algorithm with information entropy, a community discovery method is proposed in this paper. First of all, the distance between nodes is measured by the Jaccard similarity and the shortest path generation algorithm. Then, the core communities with the improved density peak algorithm are selected automatically. Thirdly, applying the fuzzy clustering mechanism to calculate the membership degree matrix of each point, thus completing the division of the remaining points. Finally, overlapping nodes are distinguished by setting a threshold of degree difference. Experiments are conducted on four real-life networks and the Purity and the Extended Modularity are employed to evaluate the proposed algorithm. The comparison of experiments with some classical algorithms on real networks are given to demonstrate the feasibility and effectiveness of the proposed method.

关键词： Clustering algorithms Complex networks Entropy information entropy Classification algorithms Clustering methods Dolphins

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MOVEMENT CLASSIFICATION IN VIDEO USING KINEMATICS-DRIVEN CHANGE DETECTION AND LOCAL KINEMATICS SHAPE PATTERN

MOVEMENT CLASSIFICATION IN VIDEO USING KINEMATICS-DRIVEN CHA...

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IEEE International Conference on Image processing

作者： Jing Tian Li Chen Xiaoming Liu Institute of Systems Science National University of Singapore Singapore Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China

This paper studies the automatic classification of abnormal mutant and normal fishes by analyzing their movements recorded in the video. Motivated by the observation that mutant fishes have muscle disorders so that their bodies cannot bend sufficiently to swim normally, a kinematics-driven movement change detection approach is proposed to automatically segment the recorded video into different video segments. Furthermore, a new feature extraction method, called local kinematics shape pattern (LKSP), is proposed in this paper to provide discriminative spatiotemporal kinematics measurements of fish body movements. The histogram of the proposed LKSP features is incorporated into a motion classification approach to identify whether the fish is normal or a mutant. The experiments are conducted using the real-world recorded videos to demonstrate the superior performance of the proposed approach.

关键词： Kinematics Feature extraction Shape Shape measurement Histograms Muscles Spatiotemporal phenomena

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Application of Case Teaching Method in Artificial Intelligence Teaching

Application of Case Teaching Method in Artificial Intelligen...

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作者： Li Huang Wei Hu Chong Tan College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology

Aiming at the current situation of poor quality of artificial intelligence teaching and weak students' interest in learning, a case teaching method is proposed. This paper analyzes the teaching status of artificial intelligence firstly, and then systematically describes the case teaching method. Finally, the necessity of introducing case teaching method into artificial intelligence teaching is studied. Practice shows that the case teaching method can effectively enhance students' self-learning ability, improve students' comprehensive innovation ability, and promote the development of artificial intelligence teaching.

关键词： Case teaching method Artificial intelligence Teaching case Course

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Reform of Computer Teaching for Practical Application

Reform of Computer Teaching for Practical Application

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作者： Li Huang Kai Zhang Wei Hu Mingchao Yu College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology

In view of the rapid development of contemporary computer technology, the problems that can be solved by computer technology are more and more complicated. Therefore, it is required that contemporary college students need to master certain computer operation skills and basic application skills of computer software combined with their professional knowledge before they officially enter the society. In this context, aiming at the computer-based teaching mode of non-computer majors in colleges and universities, the author analyzes the current situation of computer basic teaching in colleges and universities through his many years of teaching experience, and discusses the shortcomings in the development of computer courses in colleges and universities. Based on the degree of social requirements for contemporary college students to master computer technology, how to make university computer teaching cater to the continuous development and progress of computer science and technology, combined with the future computer skills of undergraduate students, the author puts forward some computer teaching reform opinions.

关键词： Computer foundation Teaching mode Application ability

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