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A three-stage method to find refining schedules of crude oil operations in refinery

A three-stage method to find refining schedules of crude oil...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Wu, Naiqi Bai, Liping Zhou, Mengchu School of Mechatronics Engineering Guangdong University of Technology Guangzhou 510090 China MoE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 200092 China ECE NJIT Newark NJ 07 102 United States

ISBN: (纸本)9781457705731

A short-term scheduling problem for crude oil operations is highly challenging. There lack efficient techniques and software tools for its solution. Our prior research shows that it may be solved in a hierarchical way. At the upper level, we find a realizable refining schedule to optimize concerned objectives. At the lower level, a detailed schedule is obtained to realize it. This work attempts to present a three-stage method to solve the the upper level problem from a control perspective. The first stage solves a linear programming problem to determine the maximal production rate. The second one solves a transportation problem to optimally assign crude oil types and volume to the distillers. The last one adjusts and sequences oil parcels. Consequently, the proposed method is computationally efficient. An industrial case study is presented to show the result. © 2011 IEEE.

关键词： Crude oil

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A game theoretic model and tree analysis method for fair exchange protocols

A game theoretic model and tree analysis method for fair exc...

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5th International Conference on Theoretical Aspects of Software engineering, TASE 2011

作者： Li, Guoqiang Gu, Yonggen Tao, Xiuting Tao, Jie School of Software Shanghai Jiao Tong University MOE-MS Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai China School of Information and Engineering Huzhou Teachers College Zhejiang China College of Mathematics Physics and Information Engineering Zhejiang Normal University China

ISBN: (纸本)9780769545066

Exchange protocols are an important theoretic basis to make secure electronic commerce and electronic business transactions possible, in which the fairness is a crucial property. To ensure and verify the property, a specific model is proposed, based on the extensive game with imperfect information. Fairness is built in the protocol game and the corresponding game tree. To verify the property, a tree analysis method is offered, and a linear time algorithm is given. As a case study, some flaws of ASW protocol are found. © 2011 IEEE.

关键词： Game theory

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基于PHG并行求解非线性Poisson-Boltzmann方程的有限元方法及自适应网格生成的研究

基于PHG并行求解非线性Poisson-Boltzmann方程的有限元方法及自适...

引用

2012全国高性能计算学术年会

作者： Yan Xie 谢妍 Bin Tu 涂斌 Benzhuo Lu 卢本卓 Linbo Zhang 张林波 (The State Key Laboratory of Scientific and Engineering Computing(LSEC) Academy of Mathematics and 中国科学院数学与系统科学研究院科学与工程计算国家重点实验室北京100190

本文说明了如何利用三维并行自适应有限元软件包PHG求解生物分子溶液体系的非线性Poisson-Boltzmann方程及电扩散方程，并介绍了一种解决这类问题的新方法，它将网格生成与自适应计算过程结合在一起，可自动产生合适的网格，避免复杂的... 详细信息

本文说明了如何利用三维并行自适应有限元软件包PHG求解生物分子溶液体系的非线性Poisson-Boltzmann方程及电扩散方程，并介绍了一种解决这类问题的新方法，它将网格生成与自适应计算过程结合在一起，可自动产生合适的网格，避免复杂的曲面网格生成步骤。之前的网格生成工作按照：(1) TMSmesh生成高斯曲面的三角网格;(2) TransforMesh删除自相交的三角网格;(3) ISO2Mesh提高表面网格质量，这三个步骤。而基于PHG的自适应加密模块可以在逐次调整网格的同时保持动态负载平衡，高效得到计算网格用于近似求解非线性Poisson-Boltzmann方程。计算了小球模型和DNA模型，分别从误差指示子下降阶和溶剂化能收敛的角度验证了新方法的有效性。

关键词：非线性方程并行计算有限元方法自适应网格生成

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Fast algorithm for beamforming problems in distributed communication of relay networks

Fast algorithm for beamforming problems in distributed commu...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Cong Sun Yaxiang Yuan State Key Laboratory of Scientific and Engineering Computing ICMSEC AMSS Chinese Academy and Sciences Beijing China

A sequential quadratic programming (SQP) method is pro posed to solve the distributed beamforming problem in multiple relay networks. The problem is formulated as the minimization of the total relay transmit power, subject to individual signal-to-interference-and-noise ratio constraints at each receiver, which is a nonconvex quadratic constraint quadratic programming. Rather than solving its semi-definite programming (SDP) relaxation, we apply the SQP method to solve its tightened form to replace its inequality constraints with equalities. Its global convergence is guaranteed. Simulations show that it not only runs much faster, but also performs as good as SDP for calculation results.

关键词： Relays Array signal processing Quadratic programming Interference Signal to noise ratio Peer to peer computing

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Extracting all minimal siphons from maximal unmarked siphons in manufacturing-oriented Petri nets

Extracting all minimal siphons from maximal unmarked siphons...

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2011 7th IEEE International Conference on Automation Science and engineering, CASE 2011

作者： Wang, ShouGuang Zhou, MengChu Wang, ChengYing College of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou 310018 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 United States MoE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 200092 China

ISBN: (纸本)9781457717307

Deadlock control is an important research issue in automated manufacturing systems that have a high degree of resource sharing and concurrency. Since minimal siphons are closely tied with deadlocks in Petri net models, their efficient extraction is fundamentally important. The existing methods can rapidly extract one minimal siphon given a maximal unmarked siphon that is obtained by using a mixed integer programming approach. This paper for the first time presents an extraction algorithm that can efficiently extract all minimal ones. The idea is based on the generation and use of a subnet tree structure given the places in a maximal unmarked siphon. Several Petri net models of automated manufacturing systems are used to illustrate the proposed concepts and methods. © 2011 IEEE.

关键词： Petri nets

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Rank-SIFT: Learning to rank repeatable local interest points

Rank-SIFT: Learning to rank repeatable local interest points

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作者： Li, Bing Xiao, Rong Li, Zhiwei Cai, Rui Lu, Bao-Liang Zhang, Lei Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Microsoft Research Asia Beijing 100190 China MOE Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781457703942

Scale-invariant feature transform (SIFT) has been well studied in recent years. Most related research efforts focused on designing and learning effective descriptors to characterize a local interest point. However, how to identify stable local interest points is still a very challenging problem. In this paper, we propose a set of differential features, and based on them we adopt a data-driven approach to learn a ranking function to sort local interest points according to their stabilities across images containing the same visual objects. Compared with the handcrafted rule-based method used by the standard SIFT algorithm, our algorithm substantially improves the stability of detected local interest point on a very challenging benchmark dataset, in which images were generated under very different imaging conditions. Experimental results on the Oxford and PASCAL databases further demonstrate the superior performance of the proposed algorithm on both object image retrieval and category recognition. © 2011 IEEE.

关键词： Image retrieval

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Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification 5

Enhance Top-down method with Meta-Classification for Very La...

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5th International Joint Conference on Natural Language Processing, IJCNLP 2011

作者： Wang, Xiao-Lin Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University 800 Dong Chuan Rd. Shanghai 200240 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dong Chuan Rd. Shanghai 200240 China

ISBN: (纸本)9789744665645

Recent large-scale hierarchical classification tasks typically have tens of thousands of classes as well as a large number of samples, for which the dominant solution is the top-down method due to computational complexity. However, the top-down method suffers from accuracy deficiency, that is, its accuracy is generally lower than that of the flat approach of 1-vs-Rest. In this paper, we employ meta-classification technique to enhance the classifying procedure of the top-down method. We analyze the proposed method on the aspect of accuracy, and then test it with two real-world large-scale data sets. Our method both maintains the efficiency of the conventional top-down method and provides competitive classification accuracies. © 2011 AFNLP

关键词： Natural language processing systems

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Time and space efficient spectral clustering via column sampling

Time and space efficient spectral clustering via column samp...

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作者： Li, Mu Lian, Xiao-Chen Kwok, James T. Lu, Bao-Liang Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong MOE Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781457703942

Spectral clustering is an elegant and powerful approach for clustering. However, the underlying eigen-decomposition takes cubic time and quadratic space w.r.t. the data set size. These can be reduced by the Nystrm method which samples only a subset of columns from the matrix. However, the manipulation and storage of these sampled columns can still be expensive when the data set is large. In this paper, we propose a time- and space-efficient spectral clustering algorithm which can scale to very large data sets. A general procedure to orthogonalize the approximated eigenvectors is also proposed. Extensive spectral clustering experiments on a number of data sets, ranging in size from a few thousands to several millions, demonstrate the accuracy and scalability of the proposed approach. We further apply it to the task of image segmentation. For images with more than 10 millions pixels, this algorithm can obtain the eigenvectors in 1 minute on a single machine. © 2011 IEEE.

关键词： Eigenvalues and eigenfunctions

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Flexible Alignment of Images Using B-Spline Reparameterization Based on Multi-resolution Representations— Computational Methods

Flexible Alignment of Images Using B-Spline Reparameterizati...

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2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

作者： Yanmei Zheng Guoliang Xu State Key Laboratory of Scientific and Engineering Computing Institute of Computational MathematicsAcademy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100190 China

we present a new flexible alignment method to align two or more similar images, especially biological images. By minimizing an energy functional measuring the difference of the initial image and target image, an L2 -gradient flow is derived. The flow is integrated by a finite element method in the spatial direction and an explicit Euler scheme in the temporal direction. Multi-resolution representations are used for achieving efficient multi-scale alignment The experimental results on 2D images show that the proposed method is efficient, effective, robust and capable of capturing the variation of the initial and target images, from large to small scale.

关键词： Flexible alignment Z2 -gradient flow Bi-cubic B-sptine Finite element method Multi-resolution representation

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An ultrasound system for tumor detection in soft tissues using low transient pulse

An ultrasound system for tumor detection in soft tissues usi...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Ashish R. Ratnakar MengChu Zhou Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA MoE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

This work presents a method to detect the size and location of tumor in soft tissues using ultrasound. Quantitative ultrasound is utilized to allow an ultrasound signal to be sent from a transmitter to multiple receivers. This received signal is analyzed for echogenic and echolucent tumors to differentiate between the two along with non-tumor sample and also studied for the delay to determine the size/location of the tumor. The proposed system utilizes Low Transient Pulse (LTP) technique and is implemented using Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) technologies. In this co-design architecture, DSP carries out the analysis of received demodulated signal at a lower speed while FPGA runs at a higher one to generate LTP signal and demodulate bandpass ultrasonic signal. This work elaborates the implementation of Quadrature Amplitude Modulation (QAM) receiver on FPGA for the received signal from an ultrasound detector. LTP is applied to the tumor samples through the transmitter and the received signal at an ultrasonic receiver is passed through QAM to obtain different maxima that are then further used to compute the location and the size of the tumor using DSP. This dual platform co-design demonstrates a good application of a FPGA/DSP platform for the LTP generation and received signal processing.

关键词： Digital signal processing Field programmable gate arrays Tumors Ultrasonic imaging Clocks Quadrature amplitude modulation Receivers

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