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Chinese control Conference (CCC)

作者： Deng Zhong hua Li Xi Ye Xiaomeng The Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

According to low speed and register error big of the traditional artificial register control system based on characteristics of overseas register control system, a great deal of experiment data is sampled and used to identify the register system model, which is analyzed and recognized as a dead time system And an adjustment algorithm is designed for automatic color register control system based on smith-fuzzy PID. The numerical experiment demonstrates the scheme adopted can raise the accuracy and printing speed of the system, simplify the operation, and raise the printing quality.

关键词： Printing Three-term control Mathematical model control system synthesis image color analysis Algorithm design and analysis Computer languages Predictive models Laboratories image processing

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Semi-global scaled edge-consensus of linear discrete-time multi-agent systems with positive constraint and input saturation

Semi-global scaled edge-consensus of linear discrete-time mu...

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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Zhipeng Fan Yaping Sun Housheng Su Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Wuhan China

ISBN: (数字)9781728162461

ISBN: (纸本)9781665419352

The thesis studies the semi-global scaled edge-consensus of linear discrete-time multi-agent systems under both the directed networks and undirected networks, where the states of each edge are subject to input saturation and positive constraint. By virtue of the MARE-based low-gain feedback method, two control protocols about directed networks and undirected networks are devised respectively to promise the positive scaled edge-consensus with input saturation. Thus we find the sufficient conditions to promise the positive edge states and overcome the input saturation. Finally, two representative examples are presented to prove the results.

关键词： Sufficient conditions Protocols Graph theory Delays Time-varying systems Cybernetics Multi-agent systems

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Small Universal Spiking Neural P Systems with Astrocytes

Small Universal Spiking Neural P Systems with Astrocytes

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The Second Asian Conference on Membrane Computing(ACMC2013)

作者： Yuan Kong Zhiqiang Zhang Zhihua Chen Jinbang Xu Key Laboratory of Image Processing and Intelligent Control School of Automation Huazhong University of Science and Technology

Spiking neural P systems with astrocytes (SNPA systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes and the functioning of astrocytes control the spikes passing along synapses. Looking for small universal computing devices is a classical researching topic in computer science, whose aim is to construct computationally universal computing devices using less resources. In this work, we investigate small universal SNPA systems as both devices computing functions and devices generating sets of numbers. Specifically, SNPA systems with 77 neurons and 21 astrocytes can compute any Turing computable function;and it is obtained that 67 neurons and 18 astrocytes can generate the family of Turing computable numbers.

关键词： Membrane computing Spiking neural P system Astrocyte Universality Register machine

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A Traffic Flow Detection System Combining Optical Flow and Shadow Removal

A Traffic Flow Detection System Combining Optical Flow and S...

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第三届全国智能视觉监控学术会议

作者： Yunhong Wang Zhaoxiang Zhang Yuqing Hou Jie Qin Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital MediaB

ISBN: (纸本)9781457718342

Traffic flow detection plays an important role in intelligent Transportation Systems(ITS).Video based traffic flow detection system is the most widely used strategy in *** this circumstance,we design and implement a video based traffic flow detection system which is called MyTD in this *** takes advantages of both shadow removal and optical flow ***,we introduce the current development of ITS and focus on the video based traffic detection technology,which is the key to ***,a shadow removal algorithm combining information in both RGB and HSV color spaces is ***,based on the Iterative Pyramidal LK Optical Flow Algorithm,a vehicle tracking function is realized by OpenCV,as well as a Connected Components Labeling function and the vehicle counting ***,MyTD is implemented and tested based on the algorithm presented *** results show the outstanding performance of our method comparing with traditional optical flow algorithms.

关键词： Optic Flow Traffic flow Videotapes Detection systems connected component shadows red-green-blue colour model intelligent Tutoring Systems intelligent transportation systems

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Development of Wearable Bath Safety Monitoring System for Handicapped People

Development of Wearable Bath Safety Monitoring System for Ha...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Jian Huang Hao Zhang Weiguang Huo Chunjing Tao Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol R&D department of National Research Centerfor Rehabilitation Technical Aids BeijingChina

ISBN: (纸本)9781467315241

With the development of society and progress of technology, people are concerned with their health more and *** there are increasing number of handicapped people, which brings tremendous burden to the society and their *** handicapped people, bathing is a big challenge because of disabilities and some dangers such as falling down or drowning which will cause severe consequence if not be dealt with in *** alleviate the burden of society and their families as well as guarantee their safety during bathing, we propose an integrated wearable bath safety monitoring *** system can detect both fall and drowning emergencies during bathing in real-time and alarm to remote monitoring center for *** effectiveness of the propose safety monitoring system is confirmed by experiments.

关键词： Fall Detection Drowning Detection Bath Safety Monitoring System Wearable

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Multi-resolution mesh based 3D object recognition

Multi-resolution mesh based 3D object recognition

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IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications

作者： Qing Li Manli Zhou Jian Liu State Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology China

Motivated by the need of the numerous real-world applications, 3D object recognition has become an active research field. The representation describes the sensed data and the object models, and it is a key issue in the recognition process, which decides the match strategy and the effectiveness and robustness of the recognition system. In this paper, we propose an improved 3D object representation first, which computes the local signatures of a given basis polygon on the surface mesh, and converts the signatures to a 2D array called the distance-angle (DA) images by weighted bilinear interpolation. This representation is adaptive to free-form objects and resistant to occlusion and clutter. Compared with the original representation, it has a more distinct meaning, easier operation, and adaptation to different resolutions and irregular triangle meshes. Secondly, based on the improved representation, a novel 3D recognition algorithm is presented, which has multiresolution mesh based, coarse-to-fine recognition. By matching the DA image of a polygon in the scene surface mesh with the DA images of models at low resolution, a model candidate set is obtained. The set is filtered in the neighborhood of the matched polygons in a high-resolution mesh and verified by the model candidate sets of other polygons. Experiments show that this algorithm needs less computation and is very accurate and robust.

关键词： Object recognition

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Electrode localization in 3D Ultrasound images using 3D phase grouping and Randomized Hough transform

Electrode localization in 3D Ultrasound images using 3D phas...

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International Conference on Genetic and Evolutionary Computing

作者： Qiu, Wu Ding, Mingyue Yuchi, Ming School of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769542812

A method to locate the axis of radio frequency ablation electrode(RFAE) in 3D Ultrasound(US) image is presented based on 3D phase-grouping in this paper. Firstly, all voxels in 3D US images are categorized into different groups which are called Line Support Region(LSR) according to the outer products of adjacent orientation vectors. And then, the RFAE axis is extracted with 3D Randomized Hough transform in the maximal LSR, instead of least squares fitting method;Finally, the endpoint of the RFAE axis is determined by searching along the axis with the probability distribution of voxels. The proposed method was tested in synthetic and 3D US agar phantom datas, the results are promising. © 2010 IEEE.

关键词： Hough transforms

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DeNet: An explicit distance ensemble model for person re-identification

DeNet: An explicit distance ensemble model for person re-ide...

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Asian Conference on Pattern Recognition (ACPR)

作者： Jin Wang Changxin Gao Jing Hu Nong Sang Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781479961016

In this paper, we address the problem of person reidentification (re-id), which remains to be challenging due to view point changes, pose variations, different camera settings, etc. Different from common methods that concatenate descriptors extracted from different support regions and feature channels directly as a long vector, we encode the importance of different feature channels and support regions explicitly and propose a two-layer distance ensemble model called DeNet to measure the similarity between two images. The first layer of DeNet combines distances of different support regions while the second layer weights different feature channels. Weight parameters of DeNet are learnt under the large margin framework with the goal of maximizing the difference between distances of positive and negative matching pairs. Our method achieves very competitive results on the widely used VIPeR and PRID 450S datasets.

关键词： image color analysis Feature extraction Histograms Cameras Probes Neurons Linear programming

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New method for improving the performance of SAR image segmentation

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Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 2011年第7期33卷 1700-1705页

作者： Yan, Xue-Ying Jiao, Li-Cheng Wang, Ling-Xia Wan, Hong-Lin Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

Considering the shortage of edge preservation and low direction-resolution for SAR image segmentation based on the conventional wavelet transform domain, a new segmentation method is proposed based on Gray-Level Cooccurrence Probability (GLCP) features in the overcomplete Brushlet domain. This method compresses the redundant GLCP features extracted by the adaptive window Gabor filtering in different direction coefficient blocks using compressed sensing, then the Fuzzy C-Mean (FCM) clustering method is utilized to complete the clustering and obtain the segmentation result. The experiment results show that the new method has advantages in the edge preservation and direction extraction, and obtains better segmentation results with respect to other methods.

关键词： Gabor filters

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Exploration and Practice of Teaching Reform of Computer Public Courses Under Big Data Environment

Exploration and Practice of Teaching Reform of Computer Publ...

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International Conference on Cyber Security Intelligence and Analytics, CSIA 2020

作者： Zhang, Hua Wang, Jiong Wu, Zhengyuan College of Computer and Control Engineering Minjiang University Fuzhou350108 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

ISBN: (纸本)9783030433055

Computers are the necessary professional knowledge of modern talents, and universities offer computer public courses to meet the needs of social talents development. At present, there are many problems existing in the computer courses teaching in colleges and universities, such as loose content, lagging mode, slow feedback, etc., and the classroom teaching is not efficient. Based on the big data environment, applying information technology to the teaching of computer public courses can re-plan the course, improve the teaching mode, collect students’ teaching evaluation, and improve the teaching effect. The article will analyze the problems existing in the teaching process of computer public courses in China, and propose corresponding reform strategies, aiming at promoting the development of teaching in colleges and universities, improving the quality of talents and meeting the development needs of the times. © Springer Nature Switzerland AG 2020.

关键词： Big data

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