In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering e...
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In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering e...
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ISBN:
(纸本)0769518575
In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering efficiency and maintain proper interactivity, the polygonal mesh simplification technique is commonly used to reduce the number of polygons of the mesh and construct a multiresolution representation. We propose a new and simple constraint scheme based on the quadric error metric proposed by Garland and Heckbert (1997, 1998) to preserve face colors and boundary edges during the simplification process. In addition, our method generates progressive meshes that store the polygonal mesh in a continuous multi-resolution representation. According to our experimental results, this new method is successful in preserving face colors and boundary edges. Moreover, we compare the latency of resolution changes for progressive meshes of various models.
Automobile CAE software is mainly used to assess the performance quality of vehicles. As the automobile is a product of technology intensive complexity, its design analysis involves a broad range of CAE simulation tec...
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ISBN:
(纸本)0769515126
Automobile CAE software is mainly used to assess the performance quality of vehicles. As the automobile is a product of technology intensive complexity, its design analysis involves a broad range of CAE simulation techniques. An integrated CAE solution of automobiles can include comfort analysis (vibration and noise analysis), safety analysis (car body collision analysis), process-cycle analysis, structural analysis, fatigue analysis, fluid dynamics analysis, test analysis, material data information system and system integration. We put an emphasis on simulation of a whole automobile collision process, which will bring a breakthrough to the techniques of CAE simulation based on highperformancecomputing. In addition, we carry out simulation for a finite-element car model in a distributed computation environment and accomplish coding-and-programming of DAYN3D. We also provide computational examples and a user handbook. Our research collects almost ten numerical automobile models such as Honda, Ford, etc. Moreover, we also deal with different computational scales for the same auto model and some numerical models of air bags are included. Based on the numerical auto model, referring to different physical parameters and work conditions of the auto model, we can control the physical parameters for the numerical bump simulation and analyze the work condition. The result of our attempt conduces to the development of new auto models.
In this paper, a new framework for rapid system design and implementation for fuzzy systems is proposed. The given system specification is separated into two components: A conceptual specification and a parameter spec...
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This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* ...
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ISBN:
(数字)9783642291784
ISBN:
(纸本)9783642291777
This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 54 revised full papers presented were carefully reviewed and selected from 90 submissions. EvoApplications 2012 consisted of the following 11 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parrallel and distributed systems), EvoCOMPLEX (algorithms and complex systems), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoHOT (bio-inspired heuristics for design automation), EvoIASP (evolutionary computation in image analysis and signal processing), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defense applications), EvoSTIM (nature-inspired techniques in scheduling, planning, and timetabling), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).
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