检索结果-内蒙古大学图书馆

Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design

ISBN: (纸本)9780780392540

The following topics are dealt with: memory and arithmetic optimization; design manufacturing interaction; circuit layout; digital analog and RF test; design for manufacturing; logic synthesis; double-gated devices; network routing and application specific NoC architectures; memory driven codes; arithmetic constructs; buffers and voltage islands; sequential circuit optimization; nanoelectronics; dynamic voltage scaling; biochips and DNA-based nanofabrication; circuit simulation; analog circuit design; power aware system architecture; software optimization; cellular array architectures; variability aware clocking; oscillator analysis; power noise and thermal issues; nanocomputing; extraction and modeling for interconnect structures; system-level variability modeling; high-level synthesis; model order reduction; statistical timing analysis; formal verification; hardware and software design of sensors; formal equivalence checking and system on chip.

关键词：

来源：评论

学校读者我要写书评

暂无评论

optimization and multi-time scale modeling of pilot solar driven polygeneration system based on organic Rankine cycle

引用

APPLIED ENERGY 2018年 222卷 396-409页

作者： Zhang, Ying Deng, Shuai Zhao, Li Lin, Shan Ni, Jiaxin Ma, Minglu Xu, Weicong Tianjin Univ Key Lab Efficient Utilizat Low & Medium Grade Ene MOE Tianjin 300072 Peoples R China

Pilot-scale distributed polygeneration system driven by solar energy and its effective simulation mechanism provides promising solutions for the technology promotion and implementation, as the emerging of smart grid concepts. In this regard, this study aims to preliminary test such a system based on organic Rankine cycle with the power output of 200 kW, which is combined with cooling and heating cycle. The developed pilot system is proven to sustain the power thermal efficiency of 10% with R123 and a self-made expansion valve. Targeting a whole optimized system in practical application, a multi-time scale mechanism is proposed and consists of long-, mid- and short-term simulation with yearly, hourly and second time step, respectively. The functionality of the concept is proven by showing the model-guided optimal sequential system with hexamethyldisiloxane working fluid. It achieves a high performance ratio, efficient cost, and less land occupation, corresponding to 67.61%, $0.12 million and 3774.2 m(2), respectively, under the long-term simulation. Rated operation decisions are correspondingly determined and present acceptable supply-and-demand matching performance at the level of mid-term modeling, with the payback time of 7.41 years. Furthermore, the system dynamic behavior is analyzed in two typical sunny and cloudy days to understand and compare its running states. The short-term model shows a steady thermal efficiency of 9.6% within 15,000 s and capture a smaller period of safety state only within 6000 s under the sunny day condition. Although the peak irradiance in the cloudy day is higher than that in the sunny day, the performance degrades dramatically due to the irradiance fluctuation. It is expected that the proposed mechanism can be extended in analyzing operational security and control strategy.

关键词： Combined cooling, heating, and power Organic Rankine cycle Pilot system Solar thermal energy simulation Time scale

来源：评论

学校读者我要写书评

暂无评论

Modelling a CPS Swarm System: A Simple Case Study 6

Modelling a CPS Swarm System: A Simple Case Study

引用

6th International conference on Model-driven Engineering and Software Development (MODELSWARD)

作者： Schranz, Melanie Bagnato, Alessandra Brosse, Etienne Elmenreich, Wilfried Lakeside Labs Klagenfurt Austria Softeam Res & Dev Dept Paris France Alpen Adria Univ Klagenfurt Klagenfurt Austria

ISBN: (纸本)9789897582837

The CPSwarm workbench is a toolchain that facilitates the entire design process of swarms of CPS including modelling, design, optimization, simulation and deployment. This paper highlights part of the work of the CPSwarm workbench in the context of the CPSwarm H2020 project. In particular, the CPSwarm workbench allows to create a generic swarm library that can be customized by developers to design new swarm environments, new swarm members and new swarm goals. This paper shows an application of the initial CPSwarm workbench by the example of a reference problem called EmergencyExit. In this example a swarm of robots needs to find an exit in an unmapped environment and leave this room through the exit as soon as possible. The example problem is further used to show the integration of Modelio, a UML/SysML modelling tool, and FREVO, an optimization tool in the CPSwarm workbench.

关键词： Cyber Physical Systems(CPS) Unified modeling Language (UML) Swarm of CPS System modeling Language (SysML) Swarm Algoritms optimization

来源：评论

学校读者我要写书评

暂无评论

Mathematical modeling, simulation and optimization of solar thermal powered Encontech engine for desalination

引用

SOLAR ENERGY 2018年 172卷 104-115页

作者： Takalkar, Gorakshnath D. Bhosale, Rahul R. Qatar Univ Dept Chem Engn Coll Engn POB 2713 Doha Qatar

This paper investigates a solar driven external combustion and regenerative engine, which can be used for desalination of seawater by using gaseous working fluids. The effect of operating and design parameters on engine performance for different suction (P-c) and discharge (P-h) pumping pressures, hot (T-h) and cold (T-c) space temperatures, regenerator effectiveness (epsilon(R)), displacer full stroke length (X-0) and dead volume of hot (X-h0) and cold (X-c0) spaces is studied in detail. optimization of pumping discharge pressure based on energy and exergy performance for six different working fluids is simulated. The energetic and exergetic analysis is performed at steady state conditions for the proposed thermodynamic cycle. Predominantly, mass and energy balance equations are applied to optimize the effect of different operating (T-h, T-c, P-c, P-h) and design (epsilon(R), X-h0 X-c0, X-0) parameters on the output work and efficiencies. An open source SCILAB code is utilized to solve the derived equations for pressure, volume, temperature, mass, and heat loads. The simulation results provide profiles for energy efficiency, exergy efficiency, and optimization based on selected design and operating parameters. Obtained results show that for each charging pressure and hot space temperature, there is a different optimum discharge pressure and optimum hot temperature based on exergetic and energetic efficiency values. Besides, the net hydraulic work-output rises with the increase in the charged mass and displacer full stroke length. simulation and thermodynamic analysis of proposed engine can be useful to design and select the optimum pumping heads for an accessible heat source and sink temperatures used for desalination to reduce the electricity consumption.

关键词： Encontech engine Thermal powered pumping Energy and exergy efficiency Hydraulic power output Solar desalination

来源：评论

学校读者我要写书评

暂无评论

Subspace Communication driven Search for High Dimensional optimization

Subspace Communication Driven Search for High Dimensional Op...

引用

simulation Winter conference

作者： Logan Mathesen Kaushik Keezhnagar Chandrasekar Xinsheng Li Giulia Pedrielli K. Selçuk Candan School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ USA

ISBN: (数字)9781728132839

ISBN: (纸本)9781728120522

Global optimization techniques often suffer the curse of dimensionality. In an attempt to face this challenge, high dimensional search techniques try to identify and leverage upon the effective, lower, dimensionality of the problem either in the original or in a transformed space. As a result, algorithms search for and exploit a projection or create a random embedding. Our approach avoids modeling of high dimensional spaces, and the assumption of low effective dimensionality. We argue that effectively high dimensional functions can be recursively optimized over sets of complementary lower dimensional subspaces. In this light, we propose the novel Subspace COmmunication for optimization (SCOOP) algorithm, which enables intelligent information sharing among subspaces such that each subspace guides the other towards improved locations. The experiments show that the accuracy of SCOOP rivals the state-of-the-art global optimization techniques, while being several orders of magnitude faster and having better scalability against the problem dimensionality.

关键词： optimization Additives Information management Linear programming Search problems Bayes methods Gaussian processes

来源：评论

学校读者我要写书评

暂无评论

simulation-driven Design optimization of a Multilayer EMC Input Filter 8

Simulation-driven Design Optimization of a Multilayer EMC In...

引用

8th International Power Electronics conference (IPEC-Niigata) / Energy Conversion Congress and Exposition (ECCE Asia)

作者： Diouf, Fatou Sakr, Nadim Gheonjian, Anna Renault SA DEAMEE Guyancourt France EMCoS EMCoS Res Lab Tbilisi Georgia

ISBN: (纸本)9784886864055

Power Electronics design in the automotive industry faces many challenges, it has to perform in a high currents environment, have a compact design, an easy fabrication and assembly process and finally be compliant with radio frequency conducted emission regulations. However, taking into account the challenges cited above, leads to a complex structure. The more complex the structure, the bigger the ElectroMagnetic Interferences (EMI), which can impair significantly the performances of the equipment. In this paper we will present an optimization of a filter's design, thus a reduction of the EMIs and an improvement of its performances through simulation with CAD software. In order to analyze the performances of the filter, a 3D model of the filter has been developed and validated by comparing simulation and measurements results. Once the model is validated it is used to study the EMI issues, the impact of parasitic elements and possible improvements.

关键词： Solid modeling Layout Couplings Integrated circuit modeling Power electronics Frequency measurement Electromagnetic interference

来源：评论

学校读者我要写书评

暂无评论

Data-driven Downtime Bottleneck Detection in Open Flow Lines 14

Data-driven Downtime Bottleneck Detection in Open Flow Lines

引用

14th IEEE International conference on Automation Science and Engineering (IEEE CASE)

作者： Zhang, Mengyi Matta, Andrea Politecn Milan Dept Mech Engn I-20151 Milan Italy

ISBN: (纸本)9781538635933

Bottleneck of a manufacturing system is the resource with the largest sensitivity on the overall throughput. The bottleneck detection is an important problem for manufacturing system improvement. This work proposes a Downtime Bottleneck (DT-BN) detection approach of open flow lines based on the Discrete Event optimization (DEO) modeling framework using field data. The DEO model enables to identify the machine whose downtime has the largest sensitivity, without calculating the sensitivities of all the machines. The DEO model is a mathematical programming representation of integrated sample-path simulation-optimization problem, i.e., the structure of simulation model is embedded with the optimization problem. The Benders decomposition is applied, and a simulation based cut generation approach is used, which reduces the computational effort without any approximation. Numerical results have shown that the proposed approach performs both effectively and efficiently. Furthermore, the effectiveness can be further improved by gathering a larger set of data, as the convergence of this approach is both proved theoretically in previous research and validated numerically in this work.

关键词： Mathematical programming

来源：评论

学校读者我要写书评

暂无评论

Fast Multi-Objective Antenna optimization by Means of Nested Kriging Surrogates

Fast Multi-Objective Antenna Optimization by Means of Nested...

引用

Antennas and Propagation conference

作者： S. Koziel A. Pietrenko-Dabrowska Engineering Optimization & Modeling Center Reykjavik University Reykjavik Iceland Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

ISBN: (纸本)9781839531705

The paper addresses the problem of simulation-based multi-objective design optimization of antenna structures. The primary focus is on reducing the computational cost of the optimization process. For that purpose, a recently reported nested kriging surrogate modelling is adopted, which serves two purposes: identification of the design space region that contains the Pareto-optimal designs, and construction of the fast surrogate model further utilized to yield the initial approximation of the Pareto set. The optimization procedure is supplemented with a simple refinement strategy that permits us to deal with possible inaccuracies of the surrogate model. The proposed framework is demonstrated using a planar Yagi antenna optimized for the best in-band matching and maximum in-band gain. The Pareto set is obtained at the cost corresponding to only around 400 EM simulations of the antenna despite of exclusively using high-fidelity analysis.

关键词： Antenna design Multi-objective optimization EM-driven design Surrogate modelling

来源：评论

学校读者我要写书评

暂无评论

Load Balancing in Mobility-on-Demand Systems: Reallocation Via Parametric Control Using Concurrent Estimation

Load Balancing in Mobility-on-Demand Systems: Reallocation V...

引用

International conference on Intelligent Transportation

作者： Rebecca M. A. Swaszek Christos G. Cassandras Division of Systems Engineering Boston University Boston MA USA

ISBN: (纸本)9781538670255

Mobility-on-Demand (MoD) systems require load balancing to maintain consistent service across regions with uneven demand subject to time-varying traffic conditions. The load-balancing objective is to jointly minimize the fraction of lost user requests due to vehicle unavailability and the fraction of time when vehicles drive empty during load balancing operations. In order to bypass the intractability of a globally optimal solution to this stochastic dynamic optimization problem, we propose a parametric threshold-based control driven by the vehicles available in and en route to each region. This is still a difficult parametric optimization problem for which one often resorts to trial-and-error methods where multiple sample paths are generated through simulation. In contrast, this paper utilizes concurrent estimation methods to simultaneously construct multiple sample paths from a single nominal sample path. The performance of the parametric controller for intermediate size systems is compared to that of a simpler single-parameter controller, a state-blind static controller, a policy of no control, and a theoretically-derived lower bound. simulation results show the value of state information in improving performance.

关键词： Load management Vehicle dynamics optimization Load modeling Servers Public transportation Optimal control

来源：评论

学校读者我要写书评

暂无评论

Gradient Change Monitoring for Accelerated Design optimization of Antennas Using Trust-Region Search with Numerical Derivatives

Gradient Change Monitoring for Accelerated Design Optimizati...

引用

Antennas and Propagation conference

作者： A. Pietrenko-Dabrowska S. Koziel Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland Engineering Optimization & Modeling Center Reykjavik University Reykjavik Iceland

ISBN: (纸本)9781839531705

Electromagnetic (EM)-driven geometry parameter adjustment is usually the final yet critically important stage of the antenna design process. The aim is an improvement of electrical and field performance within the limits imposed by the selected topology and, possibly, other constraints (e.g., the footprint area). A practical bottleneck is a high CPU cost of such simulation-based optimization, especially problematic in case of complex and multi-parameter structures. This paper proposes an accelerated version of a trust-region-embedded gradient search algorithm with numerical derivatives. The keystone of the method is the gradient change monitoring procedure which tracks the variations of the antenna response sensitivities occurring along the optimization path. The procedure suppresses finite-differentiation (FD)-based sensitivity updates for variables that exhibit stable gradient behaviour. This leads to considerable computational savings. Numerical results obtained for a set of benchmark wideband antennas demonstrate that the proposed framework outperforms the reference algorithm (average cost reduction of over 40 percent) as well as the recently reported expedited trust-region optimizers with sparse gradient updates.

关键词： Antenna design Electromagnetic simulation Response sensitivity Design closure Gradient search Trust-region frameworks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：