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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Lu, Zhanqing Zhang, Kai He, Juanjuan Niu, Yunyun School of Computer Science Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan430081 China School of Information Engineering China University of Geosciences Beijing100083 China

ISBN: (纸本)9789811036132

In this paper, a new algorithm is designed to solve Multiple Traveling Salesman Problem (MTSP) that avoiding the path intersection among the traveling salesmen. There are three objectives in this problem including the shortest path of every salesman, the balance of each salesmans task and avoiding the crosses of each routes. We combine the K-means algorithm and genetic algorithm. K-means algorithm is designed to divide all points into several subsets and choose the start city for the genetic algorithm, and then using GA to process every subsets in parallel. This method not only achieve these multiple objectives, but also use much less time, since we have divided all the points into several parts and make them calculated at the same time. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Genetic algorithms

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Non-contact vibration retrieval and performance analysis based on LFMCW radar

Non-contact vibration retrieval and performance analysis bas...

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IEEE International Conference on Signal processing, Communications and Computing (ICSPCC)

作者： Xin Liao Shuai Liu Yin Xiang Zegang Ding Xuemei Yan Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China CAST Beijing Institute of Spacecraft System Engineering Beijing China

ISBN: (纸本)9781509027095

In the paper, a non-contact vibration retrieval method was presented and the performance was analyzed based on linear frequency modulation continuous wave (LFMCW) radar. Firstly, the backscattered signal model of a vibrational target was introduced with the stop-go assumption. Then a vibration retrieval method was proposed by extracting phase based on the backscattered signal model of a vibrational target. The influence of noise and clutter on vibration retrieval was analyzed, and the signal noise ratio of vibration measurement was obtained. Finally, the validity of the performance analysis was verified by computer simulations. In addition, the experimental data acquired by LFMCW radar was used to test the proposed method.

关键词： Vibrations Radar Clutter Signal to noise ratio Phase noise Vibration measurement Receivers

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Blind Image Quality Assessment via Convolutional Neural Network

Blind Image Quality Assessment via Convolutional Neural Netw...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Meiyin Wu Li Chen College of Computer Science and Technology Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

ISBN: (纸本)9781509035595

This paper proposed a novel blind image quality assessment method that is created by training a convolutional neural network to learn discriminant features of image quality and fitting the features with a support vector regression to get an evaluation score. The pooling procedure is help to reduce the feature dimension and improve computation efficiency. The proposed method does not need any hand-crafted features contrast with most previous BIQA methods. It achieves better performance than previous BIQA methods on LIVE database. The experimental results show that the proposed method has good consistency, robustness and efficiency.

关键词： Feature extraction Image quality Databases Distortion Training Kernel Robustness

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An autofocusing imaging algorithm for wall penetrating SAR

An autofocusing imaging algorithm for wall penetrating SAR

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IET International Radar Conference 2015

作者： Liu, Wei Zheng, Meng Xiang, Yin Ding, Zegang Zeng, Tao Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology China

ISBN: (纸本)9781849199940

The absence of wall's characteristic will smear and blur the image, shift the target position, and even defocus the imaging result. To solve the problems, a novel autofocusing imaging algorithm is proposed in this paper. Firstly, the electromagnetic field is employed as a 2-D matching filter during the imaging processing. Then, the electromagnetic field in the airto-wall medium is replaced by that in the air-to-air medium. Thirdly, the mismatching error, which is proved to be an extra frequency gap at the shifted depth, is compensated by using the phase cross-correlation method. Finally, the correctness and efficiency of the proposed method are verified by the full wave simulation with data from CST.

关键词： Electromagnetic fields

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Experimental results and analysis for GBSAR deformation measurement

Experimental results and analysis for GBSAR deformation meas...

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IET International Radar Conference 2015

作者： Zhu, Mao Hu, Cheng Zeng, Tao Deng, Yunkai Tian, Weiming Mao, Cong Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology China

ISBN: (纸本)9781849199940

In this paper, the methodology, which uses GBSAR system to monitor the micro deformation of the scenario, was presented both theoretically and experimentally. In the process, the persistent scatterer (PS) technology was utilized to obtain the deformation of the scene. Firstly, the full basic PS process chain for deformation generation is presented. Secondly, the ground-based SAR system and the data acquisition of geometry are described briefly. Furthermore, the theoretical developments are complemented with the process of real data which is acquired in the experiment. Finally, the comparison between experimental results and local measurements is discussed, which demonstrated the feasibility of our GBSAR system to obtain high-precision deformation.

关键词： Synthetic aperture radar

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Innovation of teaching methods in university based on mobile cloud computing

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World Transactions on Engineering and technology Education 2016年第1期14卷 208-213页

作者： He, Heng Xia, Wei Jin, Yu Zhang, Botao Tian, Pingfang Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

The traditional teaching pattern of university courses is very simple, but not necessarily effective or engaging. In order to improve students' interest and initiative in learning, the authors put forward an innovative idea to achieve mobile learning by introducing mobile cloud computing technology to university teaching methods. More specifically, as demonstrated in this article, the authors have designed and implemented a learner-centred network teaching platform based on a combination of Moodle and Wiki in the mobile cloud computing environment. Learners are able to access all functions, which are provided by the network teaching platform, through the mobile terminal anytime and anywhere, sharing and downloading teaching resources efficiently and reliably through the cloud storage service as the performance evaluation shows. The platform can also reduce the economic cost significantly. © 2016 WIETE.

关键词： Mobile cloud computing

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Subdomain clutter reduction method for imaging near surface target

Subdomain clutter reduction method for imaging near surface ...

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IET International Radar Conference 2015

作者： Zheng, Meng Liu, Wei Xiang, Yin Ding, Zegang Zeng, Tao Wang, Xun Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology China

ISBN: (纸本)9781849199940

Penetrating radar for detecting near surface target is a kind of radar which can be used to detect, discern and image the small targets buried in the shallow surface of nonmetallic medium. The main clutter of this radar mechanism is the reflection wave transmitted between radar antennas and the surface of the non-metallic medium. If it cannot be reduced, the image of the small targets will be submerged. This paper presents a clutter reduction method which bases on the idea of subdomain mean cancellation to suppress the reflection wave of non-uniform surface of the medium. Experimental results prove that subdomain mean cancellation method can effectively repress the reflection wave of the medium surface and significantly improve the quality of the image.

关键词： Radar antennas

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Textural and Gradient Feature Extraction from JPEG2000 Codestream for Airfield Detection

Textural and Gradient Feature Extraction from JPEG2000 Codes...

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Data Compression Conference (DCC)

作者： Cheng Li Chenwei Deng Baojun Zhao School of Information and Electronics Beijing Institute of Technology Beijing P.R.China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing P.R.China

There has been huge growth in the use of optical images in object detection, and numerous images over satellite and aerial vehicle are typically stored and transmitted in the compressed form such as JPEG2000. However, most of the existing detection algorithms are built in the pixel domain, which leads to enlarge data volume and requires compulsory decompression before detecting. Hence, these issues may hinder their practical use in real-time and storage limited applications. In this paper, we extract textural and gradient features from JPEG2000 compressed codestream, and these robust features are utilized for coarse-to-fine airfield detection. The contributions of proposed work are as follows: 1) packet header is effectively exploited for presenting textural information of images, while gradient calculation is achieved in packet body, 2) a novel detection framework taking full advantage of compressed features is proposed. Validated by experiments with large optical images, the proposed method achieves faster computation with higher detection accuracy, in comparison with the existing relevant state-of-the-art approaches.

关键词： Feature extraction Image coding Transform coding Remote sensing Registers Airports

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Automatic generation of semantic data for event-related medical guidelines 5th

Automatic generation of semantic data for event-related medi...

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5th Joint International Conference on Semantic technology, JIST 2015

作者： Fan, Yuling Qiao, Rui Gu, Jinguang Huang, Zhisheng College of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan430065 China Departments of Computer Science VU University Amsterdam Amsterdam1081HV Netherlands

ISBN: (纸本)9783319316758

Medical Guidelines pay an important role in medical decision making systems. Medical guidelines are usually involved with event-related actions or procedure. However, little research has been done on how event-related medical guidelines can be converted into its semantic representation such as RDF/OWL data. This paper proposes an approach of automatic generation of semantic data for event-related medical guidelines. This generation is achieved by using the logic programming language Prolog with the support of medical ontologies such as SNOMED CT. We will report the experiments with the automatic generation of the semantic data for event-related Chinese medical guidelines, and show the relevant results. © Springer International Publishing Switzerland 2016.

关键词： Decision making

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ISAR motion compensation based on matching pursuit with Chebyshev polynomials under low SNR

ISAR motion compensation based on matching pursuit with Cheb...

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IEEE International Conference on Signal processing, Communications and Computing (ICSPCC)

作者： Jing Gao Feng Li Chao Wang Teng Long School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Beijing Institute of Technology Beijing China

ISBN: (纸本)9781509027095

Targets of inverse synthetic aperture radar (ISAR) are non-cooperate and the motion compensation should be performed first. This paper proposes a method for ISAR motion compensation. In range-frequency domain, the motion of imaging target can be modeled as Chebyshev-polynomial phase function that is an orthogonal polynomial and has more approximation accuracy than Taylor polynomial. With pulse compression, the data are transformed into range frequency domain. The parameters in polynomial are estimated by matching pursuit (MP). Different from general treatments, simulated annealing algorithm is introduced into MP. And parameters are estimated in continuous field. The algorithm estimates the motion parameters before range compression and avoids the loss of pulse compression. Simulations testify that the proposed method work better under low SNR than methods based on entropy minimization or contrast maximization. Stepped-frequency waveforms with phase coding in subpulses are used in our experimental system. Wide-band signals are synthesized by narrow-band subpulses, which could obtain high-resolution range resolution. To acquire the similar cross-range resolution, more coherent integration interval is needed. Imaging experiments that testify our method also perform well in this case.

关键词： Image coding Indexes Matched filters Chebyshev approximation Signal to noise ratio Integrated circuits Remote sensing

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