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Cover Feature: Ultrasensitive, Sustainable, and Selective Electrochemical Hydrazine Detection by ALD-Developed Two-Dimensional WO3(ChemElectroChem 2/2018)

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ChemElectroChem 2017年第2期5卷

作者： Zihan Wei Zhenyin Hai Mohammad Karbalaei Akbari Prof. Jie Hu Lachlan Hyde Prof. Stephen Depuydt Prof. Francis Verpoort Prof. Serge Zhuiykov Ghent University Global Campus Department of Applied Analytical & Physical Chemistry 119 Songdomunhwa-ro Yeonsu-gu Incheon South Korea Micro and Nano System Research Center Key Lab of Advanced Transducers and Intelligent Control System (Ministry of Education) & College of Information Engineering Taiyuan University of Technology Taiyuan 030024 Shanxi PR China Factory of the Future Swinburne University of Technology Hawthorn Australia National Research Tomsk Polytechnic University Lenin Avenue 30 634050 Tomsk Russian Federation Laboratory of Organometallics Catalysis and Ordered Materials State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Chemical and Material Engineering Wuhan University of Technology Wuhan P.R. China

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Taxi Operation Optimization Based on Big Traffic Data

Taxi Operation Optimization Based on Big Traffic Data

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Qiuyuan Yang Zhiqiang Gao Xiangjie Kong Azizur Rahim Jinzhong Wang Feng Xia School of Software Dalian University of Technology Dalian China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai China

ISBN: (纸本)9781467372121

Motivated by the remarkable improvement of information and communication technologies, along with the rapid progress of urbanization, smart city has become a novel brand. By mining big traffic data generated by widely deployed GPS devices and sensors in modern cities, we can unlock the knowledge of human mobility patterns and social functional regions, and then apply it to tackle critical problems in city construction. One of the tough issues is the paradoxical situation in urban traffic control and management, which is the empty carrying phenomenon for taxi drivers and the difficulty of taking a taxi for passengers. In the paper, we propose a data-driven taxi operation strategy to maximize drivers' profit, reduce energy consumption, and decrease environment pollution. Specifically, we capture social properties of functional areas through integrating, processing and analyzing the big traffic data. Later, we introduce the Time-Location-Sociality model which can identify three dimensional properties of city dynamics to predict the number of passengers in different social functional regions. Furthermore, we recommend Top-N areas for drivers according to the prediction outcomes, which introduce more profitable opportunities to pick up passengers. We conduct extensive experiments using the real GPS data generated by 12,000 taxis during 10 weekdays and 8 weekends in Beijing, and achieve prediction accuracies of 90.14% on weekdays and 86.37% at weekends respectively, which implies the effectiveness of our optimizing taxi operation strategy by considering the three dimensional properties.

关键词： Public transportation Vehicles Trajectory Sensors Smart cities Global Positioning system

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Design of Constrained Predictive control system for 4-DOF Manipulator with Flexible Beam Frame

Design of Constrained Predictive Control System for 4-DOF Ma...

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第26届中国过程控制会议（CPCC2015）

作者： WANG Naiqian LI Dewei XI Yugeng ZHANG Xiaoying Liu Bin Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai Jiao Tong University Nanchang Hangkong University

This paper focuses on a 4-DOF manipulator with flexible beam frame. Due to the performance requirements of rapidity and stability, the model predictive control algorithm is adopted to make trajectory planning in joint space. Meanwhile, the motor characteristic is taken in consideration in form of constrains for MPC. While a tracking controller based on optimization algorithm is applied to calculate corresponding control actions. The control scheme is tested in MATLAB platform, and the simulation results demonstrate the effectiveness of the proposed predictive control method on the manipulator.

关键词： Manipulator Flexible Beam Model Predictive control Anti-shake Trajectory Planning

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TAPRank: A Time-Aware Author Ranking Method in Heterogeneous Networks

TAPRank: A Time-Aware Author Ranking Method in Heterogeneous...

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IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Xiangjie Kong Jinmeng Zhou Jun Zhang Wei Wang Feng Xia Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China School of Software Dalian University of Technology Dalian China

Measuring the impact of authors can not only be a good guidance for new researchers, but also provide a standard for academic foundations and awards. Heterogeneous networks can capture more information about the interactions between entities and they are more and more widely used for the measurement of author impact. However, most of the existing researches take all the papers into the networks as equal, although they have different importance levels. In this paper, we propose a new model: TAPRank, which calculates author impact in author-paper network with considering the PageRank scores of papers for the first time. The PageRank algorithm is implemented in paper citation network, taking the time of publication of each paper into consideration. In addition, the experiments on DBLP dataset show a better performance of TAPRank than other state-of-the-art models.

关键词： Heterogeneous networks Indexes Position measurement Current measurement Standards Publishing Mathematical model

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A New Logistic Map Based Chaotic Biogeography-based Optimization Approach for Cluster Analysis

A New Logistic Map Based Chaotic Biogeography-based Optimiza...

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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Shui-Hua Wang Hui-Min Lu Yu-Jie Li Yang Wang Zhi-Min Chen Yu-Min Wei Wen-Juan Jia Fang-Yuan Liu Yu-Dong Zhang School of Computer Science and Technology Nanjing Normal University Hunan Provincial Key Laboratory of Network Investigational Technology Hunan Policy Academy Department of Electrical Engineering The city college of New YorkCUNY Department of Mechanical and Control Engineering Kyushu Institute of Technology School of Information Engineering Yangzhou University School of Physics and Electronic Engineering Taizhou University School of Electronic Information Shanghai Dianji University School of Energy and Mechanical Engineering Nanjing Normal University Key Laboratory of Intelligent Computing and Information Processing in Fujian Provincial University Quanzhou Normal University

Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization(CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm, and quantum-behaved particle swarm optimization. In all, our CBBO method is effective in centroid-based clustering.

关键词： chaotic biogeography-based optimization cluster analysis centroid-based clustering simulation particle swarm optimization

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A Fast Growing Cascade Neural Network for BOD Estimation

A Fast Growing Cascade Neural Network for BOD Estimation

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第三十四届中国控制会议

作者： LI Fanjun QIAO Junfei ZHANG Wei College of Electronic Information and Control Engineering Beijing University of Technology School of Mathematical Science University of Jinan Beijing Key Laboratory of Computational Intelligence and Intelligent System

ISBN: (纸本)9781467374439

In this paper, a fast growing cascade neural network(FGCNN) is proposed, as a software sensor, to rapidly estimate the biochemical oxygen demand(BOD) in wastewater treatment plants(WWTPs). Firstly, a novel method, based on the orthogonal least squares(OLS), is put forward to add input and hidden units to the existing network one by one. Every unit added to the network affords the maximal reduction of the sum of squared errors(SSE). Then, the FGCNN incrementally updates its output weights by iterations without gradients and generalized inverses, while the other weights remain unchanged during the growth of the network. The simple and effective training method make the FGCNN learn extremely fast. Finally, the proposed FGCNN is applied to estimate the BOD in WWTPs using other easy-to-measure or secondary variables. The experiment results show that the FGCNN has better performance on real-time estimation of BOD than other similar methods.

关键词： Artificial neural network,biochemical oxygen demand,wastewater treatment plant,software sensor

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Research on echo simulation of geosynchronous SAR

Research on echo simulation of geosynchronous SAR

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IET International Radar Conference 2015

作者： Wang, XiaoBei Xu, YinHui Ding, ZeGang Liu, Wei Zhu, Yu Zhang, QingJun Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781849199940

Considering the accuracy of traditional echo simulation methods, an improved echo simulation method of geosynchronous synthetic aperture radar (GEO SAR) is proposed, which has a higher accuracy. Aiming at the fidelity of echo simulation, this article develops a target scene model based on curved surface and an algorithm for judging whether the targets are illuminated by the beam. The echo simulation method is conducted with GEOSAR parameters, which indicates the correctness of scene model and beam judging algorithm. What's more, the effect of scene model and judging algorithm on imaging algorithm is analyzed. And the approach in this paper has a significant meaning for the investigation of space-borne SAR echo simulation and imaging algorithm.

关键词： Synthetic aperture radar

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An azimuth weighting method of slide-spotlight SAR based on subaperture chirp scaling algorithm

An azimuth weighting method of slide-spotlight SAR based on ...

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IET International Radar Conference 2015

作者： Shu, Bozheng Xu, Yinhui Ding, Zegang Zhu, Yu Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781849199940

Differentazimuth targets have different Doppler centroid and different time support domain in slide spotlight synthetic aperture radar. Thus, it is hard to weighting windowon the echo in slide spotlight mode. This paper proposed an azimuth weightingmethod of slide spotlight SAR based on subaperture chirp scaling algorithm. Firstly, the subaperture number of the algorithm is discussed based on the shift of Doppler centroid and the pulse repetition frequency(PRF). Secondly, the range cell migration and the remove of the azimuth phase of each subapertureare processed by chirp scaling algorithm independently. At last, the data of each subapertureis combined together, and the azimuth weighting window is applied after an azimuth de-ramp process of the combined data. The computer simulationsverify the validityof the proposed algorithm.

关键词： Synthetic aperture radar

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A compensated method for GEO SAR attitude trembling based on minimum entropy

A compensated method for GEO SAR attitude trembling based on...

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IET International Radar Conference 2015

作者： Xiong, Bin Shu, Bozheng Ding, Zegang Zhang, Qingjun Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781849199940

In this paper, the effect of the satellite yawing, pitching and rotating to the antenna beam pointing is analyzed. At the same time, how the antenna beam pointing error affecting the imaging quality is interpreted. The most significant effect is that the pointing error will lead to paired echo in the SAR image and the paired echo may submerge the weak target. So in this paper we will present a method based on minimum entropy to compensate the beam pointing error and eliminate the paired echo. Finally, we present some simulation to verify the validity of the compensated method.

关键词： Synthetic aperture radar

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Extended multi-structure local binary pattern for high-resolution image scene classification

Extended multi-structure local binary pattern for high-resol...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiaoyong Bian Chen Chen Qian Du Yuxia Sheng Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Department of Electrical Engineering University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering Mississippi State University Mississippi State USA School of Information Science and Engineering Wuhan University of Science and Technology Wuhan China

This paper presents a novel extended multi-structure local binary pattern (EMSLBP) approach for high-resolution image classification, generalizing the well-known local binary pattern (LBP) approach. In the proposed EMSLBP approach, three-coupled descriptors with multi-structure sampling are proposed to extract complementary features (pixel value and radial difference) from local image patches. The anisotropic features derived from elliptical sampling are also rotation invariant by averaging the histograms over rotational angles and combined with the isotropic features extracted from circular sampling. Experimental results show that the proposed method can effectively capture local spatial pattern and local contrast, consistently outperforming several state-of-the-art classification algorithms.

关键词： Feature extraction Histograms Nickel Image classification Support vector machines Training Image resolution

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