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European Conference on Power Electronics and Applications

作者： Zheng Zeng Weihua Shao Qingyang Liu Weifang Zhao Hui Li Tianqu Hao Li Ran Chongqing University State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical Engineering Chongqing 400044 China Durham University School of Engineering and Computing Sciences Durham DH1 3LE UK

ISBN: (纸本)9781479982776

Control of grid-connected inverter (GCI) directly affects the performance of inverter-interfaced distributed generators. In this paper, a circuit-based modeling method is proposed to combine the control algorithm in software and the topology configuration in hardware of a GCI. On the basis of the same mathematical model, control blocks are equivalently changed into circuit models. By using the proposed circuit model, the mathematical principles and physical natures of proportional-integral (PI) and proportional-resonant (PR) controllers for GCI applications are examined in depth. It concludes that the PI controller cannot track sinusoidal reference without error, because of the equivalent capacitor and ac leakage current in the circuit model obtained for the GCI. In contrast, due to the extra equivalent inductor and resonance circuit in series compared with PI, the equivalent capacitor in PI is opened. And as a result, the PR control can provide accurate current-following performance. Selected experimental results are also presented to validate the effectiveness of the proposed control modeling method.

关键词： Renewable energy systems voltage source inverters (VSI) converter control circuits

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Using artificial plant optimization algorithm with dynamic population and cluster methods to optimize the performance of DV-Hop

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Sensor Letters 2014年第8期12卷 1313-1317页

作者： Wu, Xuexue Cui, Zhihua Dai, Chaohua Chen, Weirong Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Electric Engineering Southwest Jiaotong University Sichuan China

Artificial plant optimization algorithm is a novel stochastic population-based evolutionary algorithm by simulating the plant growing process. In this paper, a new variant, which is called APOA-DC is proposed by incorporating with dynamic population size and cluster methods, furthermore, to investigate the performance, APOA-DC is applied to optimize the DV-Hop localization algorithm, simulation results show it achieves better performance than the DV-Hop algorithm.

关键词： Evolutionary algorithms

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Average vector field methods for the coupled Schrdinger KdV equations

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Chinese Physics B 2014年第7期23卷 242-250页

作者：张弘宋松和陈绪栋周炜恩 Department of Mathematics and System Science College of ScienceNational University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

The energy preserving average vector field （AVF） method is applied to the coupled Schr6dinger-KdV equations. Two energy preserving schemes are constructed by using Fourier pseudospectral method in space direction discretization. In order to accelerate our simulation, the split-step technique is used. The numerical experiments show that the non-splitting scheme and splitting scheme are both effective, and have excellent long time numerical behavior. The comparisons show that the splitting scheme is faster than the non-splitting scheme, but it is not as good as the non-splitting scheme in preserving the invariants.

关键词： coupled Schrodinger-KdV equations average vector field method splitting method Fourier pseu-dospectral method

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Multi-symplectic method for the coupled Schrdinger–KdV equations

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Chinese Physics B 2014年第8期23卷 226-232页

作者：张弘宋松和周炜恩陈绪栋 Department of Mathematics and System Science College of Science National University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

In this paper, we present a multi-symplectic Hamiltonian formulation of the coupled Schrtidinger-KdV equations （CS＇KE） with periodic boundary conditions. Then we develop a novel multi-symplectic Fourier pseudospectral （MSFP） scheme for the CSKE. In numerical experiments, we compare the MSFP method with the Crank-Nicholson （CN） method. Our results show high accuracy, effectiveness, and good ability of conserving the invariants of the MSFP method.

关键词： coupled Schr/Sdinger-KdV equations multi-symplectic Fourier pseudospectral method

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π‐Extended “Earring” Porphyrins with Multiple Cavities and Near‐Infrared Absorption

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Angewandte Chemie 2016年第22期128卷

作者： Yutao Rao Taeyeon Kim Kyu Hyung Park Fulei Peng Lei Liu Yunmei Liu Bin Wen Shubin Liu Steven Robert Kirk Licheng Wu Bo Chen Ming Ma Mingbo Zhou Bangshao Yin Yuexing Zhang Dongho Kim Jianxin Song Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education of China) Key Laboratory of Application and Assemble of Organic Functional Molecules Hunan Normal University Changsha 410081 China Spectroscopy Laboratory for Functional π-Electronic Systems and Department of Chemistry Yonsei University Seoul 03722 Korea Division of Research Computing Information Technology Services University of North Carolina Chapel Hill NC 27599 USA Department of Chemistry and Pharmaceutical Sciences Guangxi Normal University Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education) 15 Yucai Road Guilin 541004 China

β,β‐tripyrrin‐bridged earring porphyrins were synthesized through Suzuki–Miyaura cross coupling reactions. These porphyrinoids have multiple cavities and can accommodate two or three metal ions per molecule. The structures of the porphyrins have been elucidated by x‐ray diffraction analysis, and feature curved π planes. The electronic spectra of the porphyrins exhibit near‐infrared (NIR) absorptions and metal insertion leads to red‐shifted and intensified absorption features. Electrochemical analysis and transient absorption measurements indicated that the porphyrins exhibit effective electronic communication between their central and peripheral moieties.

关键词： Konjugation Nah-IR-Absorption Nickel Palladium Porphyrinoid

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Innentitelbild: π‐Extended “Earring” Porphyrins with Multiple Cavities and Near‐Infrared Absorption (Angew. Chem. 22/2016)

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Angewandte Chemie 2016年第22期128卷

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A survey on distributed compressed sensing： theory and applications

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Frontiers of Computer Science 2014年第6期8卷 893-904页

作者： Hongpeng YIN Jinxing LI Yi CHAI Simon X. YANG College of Automation Chongqing University Chongqing 400030 China Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing 400030 China State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing 400030 China School of Engineering University of Guelph Guelph N1G 2W1 Canada

The compressed sensing （CS） theory makes sample rate relate to signal structure and content. CS samples and compresses the signal with far below Nyquist sampling frequency simultaneously. However, CS only considers the intra-signal correlations, without taking the correlations of the multi-signals into account. Distributed compressed sensing （DCS） is an extension of CS that takes advantage of both the inter- and intra-signal correlations, which is wildly used as a powerful method for the multi-signals sensing and compression in many fields. In this paper, the characteristics and related works of DCS are reviewed. The framework of DCS is introduced. As DCS＇s main portions, sparse representation, measurement matrix selection, and joint reconstruction are classified and summarized. The applications of DCS are also categorized and discussed. Finally, the conclusion remarks and the further research works are provided.

关键词： compressed sensing distributed compressed sensing sparse representation measurement matrix joint reconstruction joint sparsity model

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Inside Cover: π-Extended “Earring” Porphyrins with Multiple Cavities and Near-Infrared Absorption (Angew. Chem. Int. Ed. 22/2016)

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Angewandte Chemie International Edition 2016年第22期55卷

作者： Yutao Rao Taeyeon Kim Kyu Hyung Park Fulei Peng Lei Liu Yunmei Liu Bin Wen Prof. Dr. Shubin Liu Prof. Dr. Steven Robert Kirk Licheng Wu Prof. Dr. Bo Chen Prof. Dr. Ming Ma Dr. Mingbo Zhou Dr. Bangshao Yin Dr. Yuexing Zhang Prof. Dr. Dongho Kim Prof. Dr. Jianxin Song Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education of China) Key Laboratory of Application and Assemble of Organic Functional Molecules Hunan Normal University Changsha 410081 China Spectroscopy Laboratory for Functional π-Electronic Systems and Department of Chemistry Yonsei University Seoul 03722 Korea Division of Research Computing Information Technology Services University of North Carolina Chapel Hill NC 27599 USA Department of Chemistry and Pharmaceutical Sciences Guangxi Normal University Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education) 15 Yucai Road Guilin 541004 China

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Learning to Rank for Blind Image Quality Assessment

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IEEE Transactions on Neural Networks and Learning systems 2015年第10期26卷 2275-2290页

作者： Gao, Fei Tao, Dacheng Gao, Xinbo Li, Xuelong Video and Image Processing System Laboratory School of Electronic Engineering Xidian University Xi'an710071 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology 235 Jones Street Sydney UltimoNSW2007 Australia State Key Laboratory of Integrated Services Networks School of Electronic Engineering Xidian University Xi'an710071 China State Key Laboratory of Transient Optics and Photonics Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an Shaanxi710119 China

Blind image quality assessment (BIQA) aims to predict perceptual image quality scores without access to reference images. State-of-the-art BIQA methods typically require subjects to score a large number of images to train a robust model. However, subjective quality scores are imprecise, biased, and inconsistent, and it is challenging to obtain a large-scale database, or to extend existing databases, because of the inconvenience of collecting images, training the subjects, conducting subjective experiments, and realigning human quality evaluations. To combat these limitations, this paper explores and exploits preference image pairs (PIPs) such as the quality of image Iais better than that of image Ibfor training a robust BIQA model. The preference label, representing the relative quality of two images, is generally precise and consistent, and is not sensitive to image content, distortion type, or subject identity;such PIPs can be generated at a very low cost. The proposed BIQA method is one of learning to rank. We first formulate the problem of learning the mapping from the image features to the preference label as one of classification. In particular, we investigate the utilization of a multiple kernel learning algorithm based on group lasso to provide a solution. A simple but effective strategy to estimate perceptual image quality scores is then presented. Experiments show that the proposed BIQA method is highly effective and achieves a performance comparable with that of state-of-the-art BIQA algorithms. Moreover, the proposed method can be easily extended to new distortion categories. © 2012 IEEE.

关键词： Learning algorithms

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Solving economic dispatch problem in energy internet using a two-level stochastic gossip-based consensus algorithm

Solving economic dispatch problem in energy internet using a...

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2014 International Conference on Energy Research and Power Engineering, ERPE 2014

作者： Meng, Jie Zhang, Yan Zhang, Tao College of Information System and Management National University of Defense Technology Changsha China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China

ISBN: (纸本)9783038351603

In the future, energy Internet will gradually replace the traditional power network since it enables flexible energy sharing for consumers. Consensus algorithm achieved good performance in solving economic dispatch problem in microgrid system whereas the difficulty is finding a consensus variable. By means of choosing the incremental generator cost of each energy local area network (ELAN) as the consensus variable, the economic dispatch problem can be solved. Using the stochastic gossip-based algorithm as the basic framework, the economic dispatch problem can be solved in a distributed manner. In order to meeting the real-time load requirement in time under the fixed communication topology, the fluctuation of each ELAN will do the consensus update at the same time. The result of a representative case is presented to illustrate the performance of the proposed two-level stochastic gossip-based consensus algorithm. © (2014) Trans Tech Publications, Switzerland.

关键词： Scheduling

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