检索结果-内蒙古大学图书馆

Biennial Institute of Electrical and Electronics Engineers Conference on Electomagnetic Field Computation

作者： Adnan Gloti Joze Pihler Peter Kitak Igor Ticar Faculty of Electrical Engineering and Computer Science University of Maribor

ISBN: (纸本)9781424470594

This paper presents the principle of bushing shield size, position and its covering material determination, based on the optimization algorithm. An optimization procedure has been carried out using a differential evolution (DE) algorithm combined with a solver of the software tool EleFAnT, which is used for solving computationally expensive parametrically-written bushing FEM model. The goal of this research is to accelerate the optimization process, respectively to reduce the computational cost by introducing the Kriging metamodeling.

关键词： Shield optimization algorithms Solvers geophysical techniques optimization Procedure Kriging Bushings

来源：评论

学校读者我要写书评

暂无评论

A Nearly Optimal Algorithm for Approximating Replacement Paths and k Shortest Simple Paths in General Graphs 10

A Nearly Optimal Algorithm for Approximating Replacement Pat...

引用

Annual ACM-Society for Industrial and Applied Mathmatics Symposium on Discrete algorithms

作者： Aaron Bernstein Massachusetts Institute of Technology

ISBN: (纸本)9780898717013

Let G = (V, E) be a directed graph with positive edge weights, let s; t be two specified vertices in this graph, and let π(s, t) be the shortest path between them. In the replacement paths problem we want to compute, for every edge e on π(s, t), the shortest path from s to t that avoids e. The naive solution to this problem would be to remove each edge e, one at a time, and compute the shortest s - t path each time; this yields a running time of O(mn ＋ n~2 log n). Gotthilf and Lewenstein recently improved this to O(mn＋n~2 log log n), but no o(mn) algorithms are known.

关键词： Paths shortest path Byways optimization algorithms Napier's constant Runtime Shortest path problem logs logarithm (log) Edge of a figure or solid Surgical Replantation volume of expired gas (VE)

来源：评论

学校读者我要写书评

暂无评论

Parallel Hierarchical Block Wavelet Compression for an Optimal Compression Rate of 3-D BEM Problems

Parallel Hierarchical Block Wavelet Compression for an Optim...

引用

Biennial Institute of Electrical and Electronics Engineers Conference on Electomagnetic Field Computation

作者： Christian Scheiblich Remus Banucu Veronika Reinauer Wolfgang M. Rucker Institute for Theory of Electrical Engineering University of Stuttgart

ISBN: (纸本)9781424470594

Today's low cost hardware developments allow for a parallelization of intensive computation processes over several selectable CPU cores by using Intel's OpenMP library. But if one applies this feature to a numerical simulation based on a boundary element method (BEM), there is still a huge bottle neck - the shared memory of such a system. So, if a low cost hardware should be effectively used for large BEM problems, a memory compression algorithm that is easily to be scheduled in parallel is of first choice. Within our new idea and development of the Hierarchical Block Wavelet Compression (HWC) which is based on IEEE's JPEG2000 standard for image compression, this bottle neck will be tackled in pure mathematically manners. Furthermore, its parallelization will be discussed and an optimal compression rate for a 3-D electrostatic BEM problem by a rather simple optimization algorithm will be presented.

关键词： optimization algorithms wavelet compression Parallel Lines compression ratio Data compression Hierarchical Bottles numerical simulation parallelization Image compression

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of adaptive resource co-allocation approaches for cloud service environments

Design and implementation of adaptive resource co-allocation...

引用

International Conference on Advanced Computer Theory and Engineering, ICACTE

作者： Xiaoying Wang Hui Xie Rui Wang Zhihui Du Li Jin Department of Computer Technology and Application Qinghai University Xining Qinghai China Tsinghua National Laboratory of Information Science and Technology Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781424465392;9781424465422

As cloud computing grows rapidly and virtualization techniques become more widely-used, it is critical and important to allocate limited resources to various applications on demand for the cloud service environments. In this article, we propose an adaptive resource management approach considering multi-resource transformation to fully utilize extra resource capacity. The definition of the optimization problem concerning resource co-allocation is presented and then an optimization algorithm is developed and described, which carries out stochastic and directional search step by step to jointly schedule different resources. The evaluation results of simulation experiments demonstrate that by using the resource co-allocation approach we designed, the performance of different applications deployed in the cloud environment could be guaranteed subject to the QoS (Quality of Service) specification, despite of the significant fluctuation of workloads.

关键词： cloud computing resource allocation virtualization Cloud Computing Virtualization Resource utilization management of resources optimization algorithms Environments Workload Quality of service

来源：评论

学校读者我要写书评

暂无评论

Second-Order DMOC Using Projection

Second-Order DMOC Using Projection

引用

2010 49th IEEE Conference on Decision and Control

作者： Kristine L. Snyder Todd D. Murphey Department of Applied Mathematics 526 UCB University of Colorado Boulder CO 80309 Department of Mechanical Engineering Northwestern University 2145 Sheridan Road Evanston IL 60208 USA

ISBN: (纸本)9781424477456

Discrete mechanics and optimal control (DMOC) is a recent development in optimal control of mechanical systems that takes advantage of the variational structure of mechanics when discretizing the optimal control problem. Typically, the discrete Euler-Lagrange equations are used as constraints on the feasible set of solutions, and then the objective function is minimized using a constrained optimization algorithm, such as sequential quadratic programming (SQP). In contrast, this paper illustrates that by reducing dimensionality by projecting onto the feasible subspace and then performing optimization, one can obtain significant improvements in convergence, going from superlinear to quadratic convergence. Moreover, whereas numerical SQP can run into machine precision problems before terminating, the projection-based technique converges easily. Double and single pendulum examples are used to illustrate the technique.

关键词： Optimal control mechanic Mechanics Supralinearity Mechanical systems optimization algorithms Objective function Machine Precision Quadratic Convergence Converge sequential quadratic programming

来源：评论

学校读者我要写书评

暂无评论

MODEL-BASED DEREVERBERATION IN THE LOGMELSPEC DOMAIN FOR ROBUST DISTANT-TALKING SPEECH RECOGNITION

MODEL-BASED DEREVERBERATION IN THE LOGMELSPEC DOMAIN FOR ROB...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Armin Sehr Roland Maas Walter Kellermann Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Cauerstr. 7 91058 Erlangen Germany

ISBN: (纸本)9781424442959

The REMOS (REverberation MOdeling for Speech recognition) concept for reverberation-robust distant-talking speech recognition, introduced in [1] for melspectral features, is extended in this contribution to logarithmic melspectral (logmelspec) features. Based on a combined acoustic model consisting of a hidden Markov model network and a reverberation model, REMOS determines clean-speech and reverberation estimates during recognition by an inner optimization operation. A reformulation of this inner optimization problem for logmelspec features, allowing an efficient solution by nonlinear optimization algorithms, is derived in this paper so that an efficient implementation of REMOS for logmelspec features becomes possible. Connected digit recognition experiments show that the proposed REMOS implementation significantly outperforms reverberantly-trained HMMs in highly reverberant environments.

关键词： Reverberation model-based dereverberation acoustic modeling distant-talking ASR robust ASR acoustic modeling Reverberation Speech recognition optimization algorithms Recognition (Psychology)

来源：评论

学校读者我要写书评

暂无评论

Automatic Differentiation for Sensitivity Calculation in Electromagnetism: Application for optimization of a Linear Actuator

Automatic Differentiation for Sensitivity Calculation in Ele...

引用

Biennial Institute of Electrical and Electronics Engineers Conference on Electomagnetic Field Computation

作者： P. Enciu F. Wurtz L. Gerbaud G2ELab Laboratory

ISBN: (纸本)9781424470594

Automatic Differentiation (AD) is introduced as a powerful technique to compute derivatives of functions given in the form of computer programs in high level programming languages such FORTRAN, C or C++. The paper applies AD to compute error-free gradients of sizing models describing electromagnetic devices. Then, the obtained gradients are exploited by optimization algorithms. The goal is to find the device geometry that minimizes an objective function by respecting some additional constrained parameters and performances. When algorithms are used for model formulation, evaluating their derivatives becomes a complicated task. The paper proposes a model of a linear actuator dealing with implicit equations solved by numerical methods.

关键词： device geometry linear actuator Differentiation Implicit equations optimization algorithms Electromagnetism Computer Programming Languages Electromagnetic fields Numerical methods Objective function AD model size AUTOMATIC differentiation Individualized Instruction

来源：评论

学校读者我要写书评

暂无评论

A New Global optimization Algorithm for Mixed-Integer-Discrete-Continuous Variables based on Particles Swarm optimization

A New Global Optimization Algorithm for Mixed-Integer-Discre...

引用

Biennial Institute of Electrical and Electronics Engineers Conference on Electomagnetic Field Computation

作者： Ziyan Ren Minh-Trien Pham Wei Li Chang Seop Koh School of Electrical Engineering Chungbuk National University

ISBN: (纸本)9781424470594

This paper presents a new global optimization algorithm for mixed-integer-discrete-continuous variables. In the algorithm, an augmented objective function is constructed by introducing a penalty function to treat both the integer and discrete variables as continuous ones. Particles swarm optimization (PSO) is, then, applied to the augmented objective function to find a global optimal point.

关键词： optimization algorithms Global optimization discrete transforms Integer Objective function global optimum algorithms penalty function

来源：评论

学校读者我要写书评

暂无评论

Design and optimization of LNAs through the Scattering Parameters

Design and Optimization of LNAs through the Scattering Param...

引用

IEEE Mediterranean Electrotechnical Conference

作者： M. Boughariou M. Fakhfakh M. Loulou University of Sfax

ISBN: (纸本)9781424457939

This brief presents a symbolic approach for the optimal design of low noise amplifiers through the scattering parameters. An optimization algorithm, which is also proposed in this paper, generates the optimal values of all the design parameters that meet imposed specifications on the scattering parameters. ADS simulations, using 0.35u.m CMOS technology, are presented to show the good agreement between theoretical and simulation results.

关键词： scattering parameters optimization algorithms Optimal design Low-noise amplifiers

来源：评论

学校读者我要写书评

暂无评论

Fast direct Monte Carlo optimization using the inverse kernel approach

引用

PHYSICS IN MEDICINE AND BIOLOGY 2009年第13期54卷 4051-4067页

作者： Bogner, Ludwig Alt, Marco Dirscherl, Thomas Morgenstern, Ingo Latscha, Christof Rickhey, Mark Univ Regensburg Dept Radiotherapy D-93053 Regensburg Germany Univ Regensburg Dept Theoret Phys D-93053 Regensburg Germany

The loss of treatment plan quality after segmentation following fluence optimization is a problem in IMRT. In a previous publication we showed that re-optimization helps to re-establish part of the plan quality. Recently the so-called direct aperture optimization method has been introduced to successfully overcome that difficulty. The aim of the present paper is to present in detail the integration of the inverse kernel method into direct aperture optimization. It can be shown that this integration leads to a system with high performance with regard to time, while Monte Carlo precision is maintained. The integrated simulated annealing optimization algorithm allows easy adaptation to any multi-leaf collimator and it is open to any complex objective function. Investigations of simulated annealing control parameters are performed to improve the performance. The system denoted by direct Monte Carlo optimization (DMCO) is demonstrated on the Carpet phantom and a clinical prostate case as well. Results are compared to inverse kernel optimizations, showing a remarkable time reduction and simultaneously an improvement in plan quality for the Carpet phantom.

关键词： Carpets simulated annealing DNA Integration HIGH-PERFORMANCE Fasting Kernel Inverse treatment planning Hypoderma kernel method Mentoring optimization algorithms apertures control parameter

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：