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检索条件"任意字段=Conference on Simulation-Driven Modeling and Optimization"

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Business information supply chain modeling and simulation methodology

Business information supply chain modeling and simulation me...

引用

2012 International conference on Modelling, Identification and Control, ICMIC 2012

作者： Liu, Vincent Y. Zhang, Joe Z. Sun, Xinbo Huang, Hao Macau University of Science and Technology China Northeastern University China Institute of Finance and Trade Economics Chinese Academy of Social Sciences Beijing China

ISBN: (纸本)9780956715715

Business information supply chain management in today's business climate characterized are with high uncertainty. Globalization of business, outsourcing, shorter transaction cycles, and high end user expectations require effective solutions for business information supply chain. simulation can be a valuable tool for business information supply chain analysis, planning, optimization, evaluation, and risk management. This paper presents a methodology for modeling both structure and dynamics of complex business information supply chain based on process approach. It also describes the model-driven simulation methodology and the main components of the simulation software solution: model database, process library, knowledge base, and execution engine. Finally, simulation results of the case supply network are presented. © 2012 Huazhong Univ of Sci & Tec.

关键词： Discrete event simulation

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ICSOFT 2012 - Proceedings of the 7th International conference on Software Paradigm Trends

ICSOFT 2012 - Proceedings of the 7th International Conferenc...

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7th International conference on Software Paradigm Trends, ICSOFT 2012

ISBN: (纸本)9789898565198

The proceedings contain 70 papers. The topics discussed include: a framework for creating domain-specific process modeling languages;composing model transformations at runtime - an approach for adapting component-based user interfaces;unit test - a specialized client in refactoring;transforming SQLITE to run on a bare PC;a framework for developing component-based applications with temporal analysis capabilities;model driven software engineering for grid modeling, optimization and simulation;word sense disambiguation of Persian homographs;modeling and diagnosis characterization using timed observation theory;modeling and analyzing social networks through formal methods and heuristic searches;model driven development of process-centric web applications;a model-driven approach to process enactment;and synthesis of software from logical constraints.

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Antenna design using surrogate models and adjoint sensitivity

Antenna design using surrogate models and adjoint sensitivit...

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2012 2nd IEEE-APS Topical conference on Antennas and Propagation in Wireless Communications, APWC 2012

作者： Koziel, S. Ogurtsov, S. Engineering Optimization and Modeling Center School of Science and Engineering Reykjavik University Menntavegur 1 101 Reykjavik Iceland

ISBN: (纸本)9781467304054

Design closure aided by electromagnetic (EM) simulations is often a necessary step in the antenna design process. It is also challenging because of the fact that accurate EM simulations are computationally expensive. In this paper, we discuss simulation-driven antenna optimization using surrogate models and adjoint sensitivity. We demonstrate that incorporating sensitivity information into the surrogate model improves the robustness of the optimization process and can also be utilized to reduce its computational cost. © 2012 IEEE.

关键词： Design

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A multi-objective decision support framework for simulation-based security control selection

A multi-objective decision support framework for simulation-...

引用

7th International conference on Availability, Reliability and Security (ARES)

作者： Kiesling, Elmar Strauss, Christine Stummer, Christian Secure Business Austria Vienna Austria Univ Bielefeld Bielefeld Germany

ISBN: (纸本)9780769547756

In this paper, we report on our ongoing research on simulation-based information security risk assessment and multi-objective optimization of investment in security controls. We outline a methodological framework that accounts for characteristics of the organization, its information infrastructure, assets to be protected, the particular threat sources it faces, and the decision-makers' risk preferences. This framework comprises (i) ontological modeling of security knowledge, (ii) dynamic attack graph generation techniques, (iii) probabilistic simulation of attacks by goal-driven threat agents, (iv) meta-heuristic identification of efficient portfolios of information security controls, and (v) interactive decision support. These components facilitate novel techniques to infer possible routes of attacks and generate attack graphs based on attackers' motivation, objectives, capabilities, and available modes of entry and to use this inferred knowledge to simulate attacks on an organization's modeled infrastructure. The method supports decision makers evaluating potential security control investments in striking a balance between monetary and nonmonetary criteria regarding risks, costs, and benefits. We are currently in the process of developing a prototypical implementation of the framework that will be used to evaluate the approach through application case studies.

关键词： Security and protection systems analysis and design computational modeling simulation decision support systems human factors

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Multi-Objective optimization of Temperature Distributions using Artificial Neural Networks

Multi-Objective Optimization of Temperature Distributions us...

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13th IEEE InterSociety conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)

作者： Song, Zhihang Murray, Bruce T. Sammakia, Bahgat Lu, Shuxia SUNY Binghamton Binghamton NY 13902 USA

ISBN: (纸本)9781424495320

modeling the thermal environment of data centers, including prediction of the air flow and temperature distributions can be computationally intensive using CFD. Reduced order models or data-driven meta-models are necessary to provide real-time assessment of optimum operating conditions for data centers to reduce energy usage. Here, a simulation-based Artificial Neural Network (ANN) approach is employed as a predictive tool. A model for a basic single cold aisle data center configuration is analyzed using the commercial CFD software FloTHERM. The simulation results are used to generate a database for training and cross validation of a primary ANN corresponding to a specific set of input and output operating conditions. Good agreement is achieved between the CFD and ANN based model predictions for maximum rack inlet temperatures over a range of operating conditions. In addition, by combining the ANN with a cost function based Multi-Objective Genetic Algorithm (MOGA), the operating conditions can be inversely predicted for desired outputs (e. g. rack inlet temperatures). The total simulation time for the ANN-MOGA approach is reduced significantly compared to a fully CFD-based optimization methodology.

关键词： Data Center Thermal Design Artificial Neural Network Genetic Algorithm

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Design of Combined Cam Used in the New Jacquard Device Based on PROE and AutoCAD

Design of Combined Cam Used in the New Jacquard Device Based...

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3rd International conference on Engineering Design and optimization (ICEDO 2012)

作者： Liu, Fujun Yuan, Yanhong Zhejiang Sci Tech Univ Minist Educ Engn Res Ctr Modern Text Machinery Technol Hangzhou 310018 Peoples R China

ISBN: (纸本)9783037854822

The key point of the design of combinatory cam is the design of vice-cam contour curve. A series of dots on the follower's path curve which driven by the unknown vice-cam were achieved by using the PROE's curve modeling capabilities and motion simulation function. Then import these points into the curve fitting capabilities function of AutoCAD and a certain extent smooth curve that stringing every point were obtained. Finally, the curve we got from the last step was imported back into PROE, and the unknown vice- cam can be deduced.

关键词： PROE AutoCAD Curve-fitting Combined cam Motion simulation

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Multi-objective optimization of an aircraft trajectory between cities using an inverse model approach

Multi-objective optimization of an aircraft trajectory betwe...

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AIAA modeling and simulation Technologies conference 2012

作者： Mueller, Reiko Deutsches Zentrum für Luft- und Raumfahrt 82234 Wessling Germany Robotics and Mechatronics Center Institute of System Dynamics and Control Müunchner Str. 20 82234 Wessling Germany

ISBN: (数字)9781624101830

ISBN: (纸本)9781624101830

Increasing air traffic and the need for environmental-friendly flight operations require efficient Air Traffic Management (ATM) operations. The environmental objectives are the reduction of exhaustive emissions of the aircraft engines as well as the emitted noise. On the other hand there are economically and operationally driven objectives like reduction of flight time and fuel consumption. The general approach to simulate and optimize a trajectory from city to city is to use simplified two degrees of freedom aircraft models along with standard gradient-based optimizers. In order to more efficiently deal with the aforementioned objectives, the first contribution of this work is the design of a modular wrapper model suited for trajectory optimization. It incorporates a B-Spline based trajectory parameterization module, path controller and a more detailed inverse aircraft model with three degrees of freedom. With this combination of models, a low computation time could be achieved, whilst detailed information on the aircraft's behaviour is available. The second contribution is a multi-criterial optimization approach using a genetic-algorithm optimizer. It enables the user to efficiently compare and weigh different criteria like fuel consumption or NOx-emission against each other to design a trajectory that yields the best performance for the respective focus. In addition, the multiobjective optimization approach helps to identify possible gains and to determine the interconnections between different environmental related criteria. © 2012 by Deutsches Zentrum fuer Luft- und Raumfahrt e.V.

关键词： Trajectories

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modeling and design of a Folded Cascode bulk driven OTA

Modeling and design of a Folded Cascode bulk driven OTA

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7th International conference on Design and Technology of Integrated Systems in Nanoscale Era, DTIS 2012

作者： Toihria, Intissar Thierry, Tixier Laboratory Electronics Telecommunications Computer Engineering School in Chemistry Physics Electronics CPE Lyon Lyon France

ISBN: (纸本)9781467319287

Analog circuit design is often based on a large number of simulations which strongly depends on the mastery of CAD tools and competence of the designer. In this context, the automated design of analog architectures becomes a necessity of design to solve the problem of simulation time. More importantly, accelerating the design cycle of the analog block, taking into account many constraints and finally formalizing the experience of analogiciens designers. In this paper we present a method for modeling the performance parameters of analog architectures, this is for the optimization of optimal sizing of transistors constituting the circuit to achieve the desired characteristics. This work is done following a modeling of the functioning of the Operational Amplifier using mathematical formulation software Maxima. The formulation is based on the SPICE level 1 model of the MOS transistor. Finally, the elaboration of the model is developed under MATLAB. The proposed method is presented and applied to the modeling and design of a Folded Cascode bulk driven OTA using a 0.35μm CMOS technology. simulations with Cadence Spectrum are presented and compared with manual calculations and also to numerical calculations that have shown the effectiveness of the proposed methodology. Then, we determine the optimal parameters of the operational amplifier, which accord, maximum, to the desired specifications. © 2012 IEEE.

关键词： Operational amplifiers

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INTELLIGENT TRAFFIC LIGHTS TO REDUCE VEHICLE EMISSIONS

INTELLIGENT TRAFFIC LIGHTS TO REDUCE VEHICLE EMISSIONS

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26th European conference on Modelling and simulation (ECMS 2012)

作者： Dobre, Ciprian Szekeres, Adriana Pop, Florin Cristea, Valentin Xhafa, Fatos Univ Politehn Bucuresti Dept Comp Sci & Engn Bucharest Romania Univ Politecn Cataluna ES-08034 Barcelona Spain

ISBN: (纸本)9780956494443

Cars with petrol-driven internal combustion engines are sources of air pollution. Until alternative car engines will replace petrol-driven engines, road transportation is a major source for emissions of carbon monoxide, carbon dioxide, hydrocarbons, and many other organic compounds into the environment. There is a direct relation between the car's emissions and its acceleration: an accelerating car will pollute more than a non-speeding car. hi this paper we present a mobile system capable of guiding the driver's decisions with the goal of reducing vehicle emissions. The system considers parameters ranging from the car's characteristics to human reactions. hi this we present results demonstrating the capability of the system to produce decisions that reduce pollution in urban traffic environment.

关键词： Intelligent traffic light urban traffic pollution wireless communication modeling and simulation

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Throughput driven Transformations of Synchronous Data Flows for Mapping to Heterogeneous MPSoCs

Throughput Driven Transformations of Synchronous Data Flows ...

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International conference on Embedded Computer Systems - Architectures, modeling and simulation (IC-SAMOS)

作者： Stulova, Anastasia Leupers, Rainer Ascheid, Gerd Rhein Westfal TH Aachen Inst Commun Technol & Embedded Syst Aachen Germany

ISBN: (纸本)9781467322973;9781467322966

Due to energy efficiency requirements of modern embedded systems, chip vendors are inclined towards multicore architectures with different types of processing engines and non-uniform interconnect fabrics. At the same time multiple applications are intended to run concurrently on the devices with such heterogeneous architectures. This rapid growth in the complexity of the hardware and its use cases imposes new challenges on the software development tools. To overcome this complexity, model of computation based approaches are becoming increasingly promising. Synchronous Data Flow (SDF) is a popular specification formalism for streaming applications with inherently concurrent nature. However, the parallelism expressed in the original representation is often not sufficient to maximally exploit the potential of multicore platforms. In this paper we present a holistic methodology for improving the throughput of streaming applications while mapping them onto heterogeneous architectures. The approach uses transformations that adapt the parallelism in SDF according to available platform resources. We use a genetic algorithm to explore SDF instances with the objective of maximizing throughput on a target platform. Our model supports architecture heterogeneity and multi-application scenarios. The experiments indicate that our approach outperforms other techniques for exploiting parallelism on a single application in most of the test cases and enables concurrent applications optimization.

关键词： Throughput MAPPING(MATHEMATICAL) parallelism Software Tools ARCHITECTURE Synclitism CASING INSPECTION Embedded systems Vendors Multi-core processors Platform Energy efficiency

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