the proceedings contain 191 papers. the topics discussed include: grey wolf optimizer to the hyperparameters optimization of convolutional neural network with several activation functions;test case auto-generation for...
ISBN:
(纸本)9781665470131
the proceedings contain 191 papers. the topics discussed include: grey wolf optimizer to the hyperparameters optimization of convolutional neural network with several activation functions;test case auto-generation for web applications: a model-based approach;moving object detection and counting in traffic with gaussian mixture models and vehicle license plate recognition with Prewitt method;Gaussian mixture model application in deforestation monitoring;a review of models and factors for digital educational games acceptance and user experience;development of a method for measuring small nonlinear distortions of periodic electrical signals;image filtering of impulsive noise using biologically inspired algorithms;effect of transverse openings on structural behavior of reinforced concrete curved beams;investigation of the effect of laser- parameters on the improvement of the signal of spectral analysis lines of heavy metals in the crude oil by using LIPS - system;spatial analysis based method to determine the optimal locations for asphaltic concrete plants: case study in Karbala governorate of Iraq;and quality assessment of heavy metals presented in crude oil by identification spectral lines by the LIPS - system.
A new algorithm for an optimized design of the FDTD (Finite Difference Time Domain) computations involved in simulations of electromagnetic wave propagation in irregular areas is presented in the paper. Computational ...
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ISBN:
(纸本)9780769529172
A new algorithm for an optimized design of the FDTD (Finite Difference Time Domain) computations involved in simulations of electromagnetic wave propagation in irregular areas is presented in the paper. Computational programs are represented as macro data flow graphs (MDFG) which are to be partitioned and assigned to processors for optimal parallel execution. the proposed hierarchical optimization is based on two steps. the first step consists of a computation cell redeployment algorithm in irregular meshes where optimization is performed in three main phases: generation of an initial MDFG based on wave propagation area partitioning, MDFG nodes merging with load balancing to obtain given number of macro nodes and communication optimization to minimize and balance inter-node data transmissions. the second step is a connectivity-based distributed node clustering which creates an optimized MDFG. the hierarchical algorithm combines both methods to speedup parallel execution of the FDTD computations and to reduce the execution time of the optimization algorithm.
the proceedings contain 23 papers. the topics discussed include: on the effectiveness of whole test suite generation;detecting program execution phases using heuristic search;on the use of machine learning and search-...
ISBN:
(纸本)9783319099392
the proceedings contain 23 papers. the topics discussed include: on the effectiveness of whole test suite generation;detecting program execution phases using heuristic search;on the use of machine learning and search-based software engineering for ill-defined fitness function: a case study on software refactoring;a multi-model optimization framework for the model driven design of cloud applications;a pattern-driven mutation operator for search-based product line architecture design;mutation-based generation of software product line test configurations;multi-objective genetic optimization for noise-based testing of concurrent software;bi-objective genetic search for release planning in support of themes;combining stochastic grammars and genetic programming for coverage testing at the system level;and feature model synthesis with genetic programming.
the effect of a specific set of assigned Walsh functions and the resulting variation in the amplitude, specifically the peak-to-average ratio of the amplitude of the transmit waveform from a Base Station in a cdma2000...
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the effect of a specific set of assigned Walsh functions and the resulting variation in the amplitude, specifically the peak-to-average ratio of the amplitude of the transmit waveform from a Base Station in a cdma2000 system is studied. An easily implementable algorithm for optimally assigning the Walsh functions, withthe objective of minimizing the peak-to-average ratio of the amplitude of the transmit waveform in an operating cdma2000 system is proposed. the use of orthogonal signals as an alternative to the Walsh functions is also considered with respect to the resulting variation in the peak-to-average ratio of the transmitted waveform.
this paper presents an efficient and effective codeoptimization algorithm for eliminating partially dead assignments, which become redundant on execution of specific program paths. It is one of the most aggressive co...
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ISBN:
(纸本)3540664599
this paper presents an efficient and effective codeoptimization algorithm for eliminating partially dead assignments, which become redundant on execution of specific program paths. It is one of the most aggressive compiling techniques, including invariant code motion from loop bodies. Since the traditional techniques proposed to this optimization would produce the second-order effects such as sinking-sinking effects, they should be repeatedly applied to eliminate dead code completely, paying higher computation cost. Furthermore, there is a restriction that assignments sunk to a join point on flow of control must be lexically identical. Our technique proposed here can eliminate possibly more dead assignments without the restriction at join points, using an explicit representation of data dependence relations within a program in a form of SSA (Static Single Assignment). Such representation called Extended Value Graph (EVG), shows the computationally equivalent structure among assignments before and after moving them on the control flow graph. We can get the final result directly by once application of this technique, because it can capture the second-order effects as the main effects, based on EVG.
Extensive studies of fusion economics have been performed in the last decade within the European Union and the United States. Over the same period major advances have been made in the physics and technology of fusion....
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Extensive studies of fusion economics have been performed in the last decade within the European Union and the United States. Over the same period major advances have been made in the physics and technology of fusion. this paper summarizes the prospects for fusion making an economically attractive contribution to the future energy mix. With modest physics optimization and anticipated near-term materials, the internal costs of fusion electricity would be about 50% more expensive than electricity from fossil fuels (not counting the costs of pollution abatement) and roughly comparable to renewables. Unlike renewables, fusion provides firm power. the use of advanced materials, technology and physics leads to an internal cost of fusion electricity approaching the internal cost from fission or fossil. Fusion has small external costs, along with wind, about an order of magnitude lower than fossil. Energy scenarios show that fusion could contribute significantly to large-scale electricity production during the second half of the century;the overall cost of fusion electricity is likely to be comparable withthat from other environmentally responsible sources of electricity generation. (C) 2002 UKAEA. Published by Elsevier Science B.V. All rights reserved.
the long-Term goal of the recently launched project BioBiped is to develop autonomous bipedal robots that are capable of energy-efficient multi-modal locomotion. In this paper we give a brief review of the important i...
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ISBN:
(纸本)9781617387197
the long-Term goal of the recently launched project BioBiped is to develop autonomous bipedal robots that are capable of energy-efficient multi-modal locomotion. In this paper we give a brief review of the important insights and techniques gained in previous and current projects leading to a new generation of human-like robots. Furthermore, we present the hardware design and the applied principles for the bipedal robot withthree-segmented elastic legs that is currently under development. In the latter part of the paper we describe optimization methods that yield optimal parameter sets for tuning the walking and running gaits for a robot prototype withthe same kinematic leg design.
A dynamic optimizer is a soft-ware-based system that performs code modifications at run time, and several such systems have been proposed over the past several years. these systems typically perform optimization on th...
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ISBN:
(纸本)0769515347
A dynamic optimizer is a soft-ware-based system that performs code modifications at run time, and several such systems have been proposed over the past several years. these systems typically perform optimization on the level of an instruction trace, and most use caching mechanisms to store recently, optimized portions of code, Since the dynamic optimizers produce variable-lengthcode traces that are modified copies of portions of the original executable, a code cache management scheme must deal withthe difficult problem of caching objects that vary in size and cannot be subdivided without adding extra jump instructions. Because of these constraints, many dynamic optimizers have chosen unsophisticated schemes, such as flushing the entire cache when it becomes full. Flushing minimizes the overhead of cache management but tends to discard many useful traces. this paper evaluates several alternative cache management schemes that identify and remove only enough traces to make room for a new trace. We find that by treating the code cache as a circular buffer, we can reduce the code cache miss rate by half of that achieved by flushing. Furthermore, this approach adds very little bookkeeping overhead and avoids the problems associated withcode cache fragmentation. these characteristics are extremely, important in a dynamic system since more complex strategies will do more harm than good if the overhead is too high.
Euler diagrams (EDs) are a popular means of visualizing set-based relationships. We describe the advancement of EulerSketch, based on a novel encoding of EDs. In particular, EulerSketch allows a user to sketch and int...
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We address software optimization for embedded control systems. the Esterel language is used as the front-end specification;Esterel compiler v6 is used to partition the control circuit and data path;the resulting inter...
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ISBN:
(纸本)9781581133646
We address software optimization for embedded control systems. the Esterel language is used as the front-end specification;Esterel compiler v6 is used to partition the control circuit and data path;the resulting intermediate representation of the design is a control-data network. this paper emphasizes the optimization of the control circuit portion and the codegeneration of the logic network. the new control-data network representation has four types of nodes: control, multiplexer, predicate and data expression;the control portion is a multi-valued logic network (MV-network). We use an effective multi-valued logic network optimization package called MVSIS for the control optimization. It includes algebraic methods to perform multi-valued algebraic division, factorization and decomposition and logic simplification methods based on observability don't cares. We have developed methods to evaluate a control-data network based on both an MDD and sum-of-products representation of the multi-valued logic fun ctions. the MDD-based approach uses multi-valued intermediate variables and generates code according to the internal BDD structure. the SOP-based code is proportional to the number of cubes in the logic network. Preliminary results compare the two approaches and the optimization effectiveness.
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