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Continuous nonlinear programming techniques to solve scheduling problems 20

Continuous nonlinear programming techniques to solve schedul...

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20th International Conference EURO Mini Conference: Continuous Optimization and Knowledge-Based Technologies, EurOPT 2008

作者： Fagundez, Fabio Dias Xavier, Adílson Elias Facó, João Lauro Dorneles Federal University of Rio de Janeiro Cidade Universitária Bloco I-2000 2CENERGIA CT Rio de Janeiro Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro Cidade Universitária Bloco H CT Rio de Janeiro Brazil Department of Computer Science Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9789955282839

One of the most known applications of Discrete Optimization is on scheduling. In contrast, one of the most known applications of Continuous Nonlinear Optimization is on the control of dynamic systems. In this paper, we combine both views, solving scheduling problems as dynamic systems, modeled as discrete-time nonlinear optimal control problems with state and control continuous variables subjected to upper and lower bounds. The proposed formulation has the following advantages over discrete (mixedinteger) models: a smaller number of variables is employed, and no 0-1 variable is needed. Therefore, the scheduling problem can be solved as a standard continuous nonlinear program. Complementarity constraints are used to represent scheduling decisions, defining a nonconvex problem, which can be solved with Global Optimization (GO) and Nonlinear programming (NLP) methods. Applications with a continuous process background are discussed, such as the ones from petroleum and water & wastewater industries, because they pose challenging issues, with a combination of nonlinear and combinatorial aspects. One example we discuss in detail is the crude oil scheduling in ports, with tanks, pipelines, jetties, and tanker vessels and blending operations. The recent literature on this problem is rich in mixedinteger linear programming (MILP) models, therefore we developed a procedure to reformulate certain mixed-integer constraints as complementarity constraints, discarding the associated binary variables. The resulting NLP model is equivalent to the original MILP, in a sense that a feasible point in the NLP is also a feasible point in the MILP. A number of numerical cases are discussed to illustrate the validity of this approach. Despite obtaining good results with the NLP approach, we acknowledge that the MILP has the desirable feature of having only global optima, whereas the NLP is non-convex. Therefore, we present an hybrid NLP-MILP scheme that uses the NLP to generate new MILP inte

关键词： Integer programming

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Binaural Spectral Cues for Ultrasonic Localization

Binaural Spectral Cues for Ultrasonic Localization

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2008 IEEE International Symposium on Circuits and systems (ISCAS 2008), vol.6

作者： Hisham Abdalla Timothy K Horiuchi Electrical and Computer Engineering Department Institute for systems research University of Maryland College Park MD USA Electrical and Computer Engineering dept Insitute for Systems Research Neuroscience and Cognitive Science Program University of Maryland College Park MD USA

To support our ongoing work in modeling bat echolocation, an artificial bat head was designed and fabricated using a 3D printer, an ultrasonic cochlea-like filter bank with 16 channels was designed with moderate quality (Q) factor, and 128 spiking neurons convert these signals to spike trains. A two-dimensional address-event arbiter is used to transmit these spikes off of the chip. We demonstrate that the population of spiking neurons can be decoded to estimate azimuth and elevation of ultrasonic chirps. This chip was fabricated in a commercially-available 0.5(mu)m CMOS process and consumes approximately 36(mu)W.

关键词： Hafnium

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Spike-based acoustic signal processing chips for detection and localization

Spike-based acoustic signal processing chips for detection a...

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IEEE Biomedical Circuits and systems (BIOCAS)

作者： Hisham Abdalla Timothy K. Horiuchi Electrical and Computer Engineering Department Institute for Systems Research University of Maryland College Park MD USA Electrical and Computer Engineering Department Institute for Systems Research Neuroscience and Cognitive Science Program University of Maryland College Park MD USA

Voltage spikes are ubiquitous in biological nervous systems. How spikes can be used to encode signals, facilitate communication, and implement important computations is an important question of contemporary neuroscience. Acoustic processing tasks provide a rich range of applications for this encoding scheme. As a summary of the Ph.D. research of the first author, we present two analog VLSI spike-based example systems that process acoustic information using spikes: a model of the neural signal processing involved in bat echolocation, and a low-power, time-domain acoustic periodicity detector.

关键词： Acoustic signal processing Acoustic signal detection Voltage Biological information theory Nervous system Biology computing Pervasive computing Neuroscience Acoustic applications Encoding

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The Third International Conference on human-robot interaction

The Third International Conference on human-robot interactio...

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作者： Fong, Terry Dautenhahn, Kerstin Scheutz, Matthias Demiris, Yiannis Intelligent Robotics Group NASA Ames Research Center Department of Artificial Intelligence School of Computer Science University of Herfordshire Herfordshire United Kingdom Adaptive Systems Research Group University of Herfordshire Herfordshire United Kingdom Department of Cognitive Science Computer Science and Informatics Cognitive Science Program Indiana University Bloomington IN United States Intelligent Robotics Team Department of Electrical Engineering Imperial College London London United Kingdom

The third international conference on Human-Robot Interaction (HRI-2008) was held in Amsterdam, The Netherlands, March 12-15, 2008. The theme of HRI-2008, "living with robots," highlights the importance of the technical and social issues underlying human-robot interaction with companion and assistive robots for long-term use in everyday life and work activities. More than 250 researchers, practitioners, and exhibitors attended the conference, and many more contributed to the conference as authors or reviewers. HRI-2009 will be held in San Diego, California, from March 11-13, 2009. Copyright © 2008, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Recommending mobile content using content diffusion and user preference transition

Recommending mobile content using content diffusion and user...

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2008 International Conference on e-Learning, e-Business, Enterprise Information systems, and e-Government, EEE 2008

作者： Lee, Tong Queue Lee, Eunchang Park, Young Park, Yongtae Department of Mobile Internet Dongyang Technical College Seoul Korea Republic of Graduate Program in Technology and Management Seoul National University Seoul Korea Republic of Department of Computer Science and Information Systems Bradley University Peoria IL United States Department of Industrial Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)1601320639

Recommendation accuracy is especially important in mobile e-commerce environments due to the limited screen size of mobile devices and relatively expensive connection costs. Mobile content tends to be fashionable and are geared for young users. This paper presents a novel method of building a more accurate recommender system for mobile content in a mobile ecommerce environment. The method is based on collaborative filtering, and models content diffusion and user preference transition and incorporates them in constructing pseudo ratings from implicit feedback data. In a variety of experiments, recommender systems based on the method showed significantly better recommendation accuracy than a pure collaborative filtering-based recommender system.

关键词： Collaborative filtering

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Transactional WaveCache: Towards Speculative and Out-of-Order DataFlow Execution of Memory Operations

Transactional WaveCache: Towards Speculative and Out-of-Orde...

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International Symposium on computer Architecture and High Performance Computing (SBAC-PAD)

作者： Leandro A.J. Marzulo Felipe M.G. Franca Vítor Santos Costa Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Departmento de Ciência de Computadores Universidade do Porto Porto Portugal

The WaveScalar is the first dataflow architecture that can efficiently provide the sequential memory semantics required by imperative languages. This work presents a speculative memory disambiguation mechanism for this architecture, the transaction WaveCache. Our mechanism maintains the execution order of memory operations within blocks of code, called waves, but adds the ability to speculatively execute, out-of-order, operations from different waves. This mechanism is inspired by progress in supporting transactional memories. Waves are considered as atomic regions and executed as nested transactions. Wave that have finished the execution of all their memory operations are committed, as soon as the previous waves are also committed. If a hazard is detected in a speculative wave, all the following waves (children) are aborted and re-executed. We evaluated the transactional WaveCache on a set of benchmarks from Spec 2000, Mediabench and Mibench (telecomm). Speedups ranging from 1.31 to 2.24 (related to the original WaveScalar) where observed when the benchmark doesn't perform lots of emulated function calls or access memory very often. Low speedups of 1.1 to slowdowns of 0.96 were observed when the opposite happens or when the memory concurrency was high.

关键词： Out of order computer architecture Parallel processing High performance computing Telecommunications Concurrent computing Hardware Data engineering systems engineering and theory computer science

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DLM: A distributed Large Memory System using remote memory swapping over cluster nodes

DLM: A distributed Large Memory System using remote memory s...

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IEEE International Conference on Cluster Computing

作者： Hiroko Midorikawa Motoyoshi Kurokawa Ryutaro Himeno Mitsuhisa Sato Department of Computer and Information Science Seikei University Musashino Tokyo Japan Graduate School of Systems and Information Engineering University of Tsukuba Tennodai Tsukuba Ibaraki Japan Advanced Center of Computing and Communication Wako Saitama Japan Research Program for Computational Science RIKEN Wako Saitama Japan

Emerging 64 bitOSpsilas supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connected nodes can be used to store swapped pages efficiently, especially in a dedicated cluster which has a high-speed network such as 10 GbE and Infiniband. In this paper, we propose the distributed large memory system (DLM), which provides very large virtual memory by using remote memory distributed over the nodes in a cluster. The performance of DLM programs using remote memory is compared to ordinary programs using local memory. The results of STREAM, NPB and Himeno benchmarks show that the DLM achieves better performance than other remote paging schemes using a block swap device to access remote memory. In addition to performance, DLM offers the advantages of easy availability and high portability, because it is a user-level software without the need for special hardware. To obtain high performance, the DLM can tune its parameters independently from kernel swap parameters. We also found that DLMpsilas independence of kernel swapping provides more stable behavior.

关键词： Kernel Arrays Memory management Servers Bandwidth Performance evaluation Benchmark testing

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Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference

Proceedings of the 2008 MidSouth Computational Biology and B...

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作者： Wren, Jonathan D. Wilkins, Dawn Fuscoe, James C. Bridges, Susan Winters-Hilt, Stephen Gusev, Yuriy Arthritis and Immunology Research Program Oklahoma Medical Research Foundation 825 N.E. 13th Street Oklahoma City OK 73104-5005 United States Computer and Information Science Department The University of Mississippi University MS 38677 United States Center for Functional Genomics Division of Systems Toxicology National Center for Toxicological Research Jefferson AR 72079 United States Department of Computer Science and Engineering Mississippi State University Box 9637 Mississippi State MS 39762 United States Department of Computer Science University of New Orleans The Research Institute for Children 200 Henry Clay Ave. New Orleans LA 70118 United States Department of Surgery Health Sciences Center The University of Oklahoma Oklahoma City OK 73104 United States

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Parallel self-organizing maps with application in clustering distributed data

Parallel self-organizing maps with application in clustering...

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International Joint Conference on Neural Networks (IJCNN)

作者： Flavius L. Gorgonio Jose Alfredo F. Costa Electrical Engineering and Computer Science Postgraduate Program Federal University of Rio Grande do Norte Natal Rio Grande do Norte Brazil Adaptive Systems Laboratory Electrical Engineering Department Federal University of Rio Grande do Norte Natal Rio Grande do Norte Brazil

Clustering is the process of discovering groups within multidimensional data, based on similarities, with a minimal, if any, knowledge of their structure. Distributed data clustering is a recent approach to deal with geographically distributed databases, since traditional clustering methods require centering all databases in a single dataset. Moreover, current privacy requirements in distributed databases demand algorithms with the ability to process clustering securely. Among the unsupervised neural network models, the self-organizing map (SOM) plays a major role. SOM features include information compression while trying to preserve the topological and metric relationship of the primary data space. This paper presents a strategy for efficient cluster analysis in geographically distributed databases using SOM networks. Local datasets relative to database vertical partitions are applied to distinct maps in order to obtain partial views of the existing clusters. Units of each local map are chosen to represent original data and are sent to a central site, which performs a fusion of the partial results. Experimental results are presented for different datasets.

关键词： Distributed databases Artificial neural networks Joints Conferences Iris Clustering methods Clustering algorithms

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Generalized evidence pre-propagated importance sampling for hybrid bayesian networks

Generalized evidence pre-propagated importance sampling for ...

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AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference

作者： Yuan, Changhe Druzdzel, Marek J. Department of Computer Science and Engineering Mississippi State University Mississippi State MS 39762 Intelligent Systems Program School of Information Sciences University of Pittsburgh Pittsburgh PA 15260

ISBN: (纸本)1577353234

In this paper, we first provide a new theoretical understanding of the Evidence Pre-propagated Importance Sampling algorithm (EPIS-BN) (Yuan & Druzdzel 2003;2006b) and show that its importance function minimizes the KL-divergence between the function itself and the exact posterior probability distribution in Polytrees. We then generalize the method to deal with inference in general hybrid Bayesian networks consisting of deterministic equations and arbitrary probability distributions. Using a novel technique called soft arc reversal, the new algorithm can also handle evidential reasoning with observed deterministic variables. Copyright © 2007, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Bayesian networks

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