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IET International Radar Conference 2015

作者： XiaoBei Wang YinHui Xu ZeGang Ding Wei Liu Yu Zhu QingJun Zhang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing China 100081 Beijing Institute of Spacecraft system Engineering CAST Beijing China 100094

ISBN: (纸本)9781510822023

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： GEOSAR beam judgment beam shadow echo simulation scene model

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Sentence-length informed method for active learning based resource-poor statistical machine translation 3

Sentence-length informed method for active learning based re...

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3rd CCF Conference on Natural Language processing and Chinese Computing, NLPCC 2014

作者： Du, Jinhua Wang, Miaomiao Zhang, Meng School of Automation and Information Engineering Xi’an University of Technology Xi’an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an710048 China

ISBN: (纸本)9783662459232

This paper presents a simple but effective sentence-length informed method to select informative sentences for active learning (AL) based SMT. A length factor is introduced to penalize short sentences to balance the "exploration" and "exploitation" problem. The penalty is dynamically updated at each iteration of sentence selection by the ratio of the current candidate sentence length and the overall average sentence length of the monolingual corpus. Experimental results on NIST Chinese–English pair and WMT French-English pair show that the proposed sentence-length penalty based method performs best compared with the typical selection method and random selection strategy. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Iterative methods

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A Historical information Feedback Multiple-Target Tracker 33

A Historical Information Feedback Multiple-Target Tracker

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第三十三届中国控制会议

作者： SHEN-TU Han XUE An-ke PENG Dong-liang Institution of Information and Control Hangzhou Dianzi University State Key Laboratory of Industrial Control Technology Institute of Cyber-System and ControlZhejiang University

ISBN: (纸本)9781479947249

The traditional PHD tracker(PHDT) generates the newborn PHD from the prior knowledge, thus can not be applied when the prior newborn target knowledge is unavailable. To this end, we propose a historical information feedback multiple-target tracker(HIFMTT) as an improvement to the traditional PHDT. The HIFMTT generates the newborn PHD through processing the historical observation and estimating results with a feedback structure, and thus can overcome the above mentioned difficulty. For the real application, we also construct the PF-HIFMTT algorithm by embedding the particle filter into the HIFMTT framework. The simulation results demonstrate the effectiveness of the PF-HIFMTT algorithm in two different scenarios.

关键词： multiple-target tracking,probability hypothesis density tracker,historical information,feedback

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AN ADAPTIVE MEMBRANE ALGORITHM FOR SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS

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Acta Mathematica Scientia 2014年第5期34卷 1377-1394页

作者：贺娟娟肖建华邵泽辉 Key Laboratory of Image Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology The Research Center of Logistics Nankai University School of Information Science and Technology Chengdu University

Membrane algorithms （MAs）, which inherit from P systems, constitute a new parallel and distribute framework for approximate computation. In the paper, a membrane algorithm is proposed with the improvement that the involved parameters can be adaptively chosen. In the algorithm, some membranes can evolve dynamically during the computing process to specify the values of the requested parameters. The new algorithm is tested on a well-known combinatorial optimization problem, the travelling salesman problem. The em-pirical evidence suggests that the proposed approach is efficient and reliable when dealing with 11 benchmark instances, particularly obtaining the best of the known solutions in eight instances. Compared with the genetic algorithm, simulated annealing algorithm, neural net-work and a fine-tuned non-adaptive membrane algorithm, our algorithm performs better than them. In practice, to design the airline network that minimize the total routing cost on the CAB data with twenty-five US cities, we can quickly obtain high quality solutions using our algorithm.

关键词： membrane algorithm adaptation travelling salesman problem

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Scheduling of Electric Vehicle Charging Request and Power Allocation at Charging Stations with Renewable Energy 33

Scheduling of Electric Vehicle Charging Request and Power Al...

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第三十三届中国控制会议

作者： LI Jingwei YANG Bo XU Yang CHEN Cailian GUAN Xinping ZHANG Weidong Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Electrical Engineering and Automation Shanghai Jiao Tong University

ISBN: (纸本)9781479947249

Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on scheduling charging process between multiple electric vehicles and charging stations in smart grid with renewable energy and storage devices. From the perspective of the whole system, the goal of minimizing the time average electricity cost with time-varying electricity price can be reached in this paper. With the participation of storage devices, charging-station-private renewable generation and electric vehicles power demands, we mathematically formulate a stochastic optimal problem and address it by employing Lyapunov optimization methods. Through mathematical derivation, stability of storage devices is achieved. Meanwhile, the upper bound for time average electricity cost can be calculated. The feature of our research is the independence on stochastic distribution of demand and renewable generation. Simulation results show the convergence of storage device state of charging（SOC） and illustrate the efficiency and performance of our algorithm.

关键词： Smart grid EV guidance renewable generation energy storage device Lyapunov optimization

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Pricing Scheme for Aggregate Load Scheduling of Plug-in Electric Taxi Fleet 33

Pricing Scheme for Aggregate Load Scheduling of Plug-in Elec...

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第三十三届中国控制会议

作者： YANG Jinfeng YANG Zaiyue State Key Laboratory of Industrial Control Technology Zhejiang University Key Laboratory of Cognitive Radio and Information Processing (Guilin University of Electronic Technology) Ministry of Education

ISBN: (纸本)9781479947249

This paper aims at scheduling the charging behavior of a large population of plug-in electric taxis(PET) by means of pricing, in order to respond to load requirement of future smart grid in critical situations. The main contributions consist of two parts. First, the charging behavior of a single PET is analyzed, and a threshold-based scheduling algorithm is proposed from the perspective of PET in order to minimize its cost. Second, based on the individual behavior the aggregate charging behavior of a fleet of PETs is analyzed, and a pricing scheme is proposed so that the aggregated load of PET fleet can track a given target load profile. Numerical simulations verify the proposed method.

关键词： Pricing,Plug-in Electric Taxi,Smart Grid,Threshold

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Economics-Oriented NMPC of Two-Stage-Riser Catalytic Pyrolysis Processes for Maximizing Propylene Yield

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IFAC-PapersOnLine 2015年第8期48卷 32-37页

作者： Ping Wang Xuemin Tian Chaohe Yang Zhihong Yuan College of Information and Control Engineering China University of Petroleum Qingdao 266580 China Tel: +86-*** State Key Laboratory of Heavy Oil Processing China University of Petroleum Qingdao 266580 China Department of Chemical Engineering Auburn University Auburn AL 36849 United States

Two-stage-riser fluidized catalytic pyrolysis for maximizing propylene yield (TMP) process focuses on propylene production meanwhile without significant losses on gasoline/diesel yields. The complex nonlinear behaviour of this process calls for advanced control system to tackle various disturbances to achieve optimal operation. This paper is devoted to presenting an economics-oriented NMPC scheme that could maximize propylene production while satisfying process operation constraints. In the proposed scheme, those variables, which are difficult to be measured online, including product yields as well as uncertain model parameters are estimated by an unscented transformation based Kalman filter. Potential economic benefits and robustness associated with the proposed controller scheme are illustrated through simulations.

关键词： Catalytic pyrolysis Two-stage-riser Economic predictive control State estimation

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MR-COF:A Genetic MapReduce Configuration Optimization Framework

MR-COF:A Genetic MapReduce Configuration Optimization Framew...

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The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan China Services Computing Technology and System Lab and Cluster and GridComputing Lab Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters... 详细信息

ISBN: (纸本)9783319271392

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

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A Secure and Lightweight Data Access control Scheme for Mobile Cloud Computing

A Secure and Lightweight Data Access Control Scheme for Mobi...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Yu Jin Chuan Tian Heng He Fan Wang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan P.R.China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan P.R.China

ISBN: (纸本)9781467371841

By moving data storage and processing from lightweight mobile devices to powerful and centralized computing platforms located in clouds, Mobile Cloud Computing (MCC) can greatly enhance the capability of mobile devices. However, when data owners outsource sensitive data to mobile cloud for sharing, the data is outside of their trusted domain and can potentially be granted to untrusted parties which include the service providers. Data security and flexible access control have become the most pressing demands for MCC. To address this issue, we design a secure and lightweight data access control scheme based on Ciphertext-Policy Attribute-based Encryption (CP-ABE) algorithm, which can protect the confidentiality of outsourced data and provide fine-grained data access control in MCC. The scheme can obviously improve the overall system performance by greatly reducing the computation overheads in encryption and decryption operations, provide flexible and expressive data access control policy, and meanwhile enable data owners to securely outsource most of the computation overheads at mobile devices to cloud servers. The security and performance evaluation show that our scheme is secure, highly efficient and well suited for lightweight mobile devices.

关键词： Access control Encryption Mobile handsets Mobile communication Algorithm design and analysis Servers

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Research on BP imaging algorithm parallelization using C6678 DSPS

Research on BP imaging algorithm parallelization using C6678...

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IET International Radar Conference 2015

作者： Jiayun Zhao Yuan Yuan Jinghua Wang Ye Jin Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China North China Institute of Computing Technology Beijing China Beijing institute of spacecraft system engineering China academy of space technology Beijing China

ISBN: (纸本)9781510822023

Compared to the traditional SAR imaging algorithm, Back Projection(BP) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in the imaging process. However, because of intensive computation and low efficiency, it's a new challenge to storage to capacity, throughput and processing ability of DSPs, a single DSP is not enough to meet these demands. So a parallel implementation method of BP algorithm based on TMS320C6678 DSP is proposed in this *** put forward a large point FFT multi-core parallel processing method on 2/4/8 cores what is frequently used in BP algorithm, and a multi-core synchronization method based on distributed memory. Finally using the measured data, we verify the parallel method can greatly enhance the multi-core parallelism, and the real-time performance of BP algorithm has been significantly improved.

关键词： BP imaging algorithm large point FFT multi-core parallel processing multi-core synchronization

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