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41.
针对以往混沌子可视化方法法存在的某些局限,提出了相密度定义从而对吸引子在相空间中的分布情况进行了全局性的定量描述,并为混沌吸引子可视化提供了有效的参考与控制,另外,基于相密度实现的混沌吸引子体绘制可视化方法与Lyapunov谱特征可视化方法,还从不同角度揭示了混沌行为的整体变化情况以及局部相空间中混系统的基本特征,并在丰富混沌吸引子可视化内容与形式的同时,降低了可视化过程的复杂性。 相似文献
42.
The evolution and maintenance of large-scale software systems requires first an understanding of its architecture before delving
into lower-level details. Tools facilitating the architecture comprehension tasks by visualization provide different sets
of configurable, graphical elements to present information to their users. We conducted a controlled experiment that exemplifies
the critical role of such graphical elements when aiming at understanding the architecture. In our setting, a different configuration
of graphical elements had significant influence on program comprehension tasks. In particular, a 63% gain in effectiveness
in architectural analysis tasks was achieved simply by changing the configuration of the graphical elements of the same tool.
Based on the results, we claim that significant effort should be spent on the configuration of architecture visualization
tools and that configurability should be a requirement for such tools.
Jens Knodel is a scientist at the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern, Germany. As an applied researcher in the department “Product Line Architectures” he works in several industrial and research projects in the context of product line engineering and software architectures. His main research interests are architecture compliance checking, software evolution, and architecture reconstruction. Jens Knodel is the architect of the Fraunhofer SAVE tool (the acronym SAVE stands for Software Architecture Evaluation and Visualization). Dirk Muthig heads the division “Software Development” at the Fraunhofer Institute for Experimental Software Engineering (IESE). He has been involved in the definition, development, and transfer of Fraunhofer PuLSE (Product Line Software Engineering) methodology since 1997. Further, he leads the research and technology transfer in the area of “Software and Systems Architecture”. He received a diploma in computer science, as well as a Ph.D., from the Technical University of Kaiserslautern. Matthias Naab is an engineer at the Fraunhofer Institute for Experimental Software Engineering (IESE). He works in the areas of software- and system architectures and product lines. In several industry projects, he was involved in architecture evaluations of large-scale information systems from different industries and customers. To the Fraunhofer SAVE tool, he contributed the visualization component. Matthias Naab received a diploma in computer science from the Technical University of Kaiserslautern in 2005. 相似文献
Matthias Naab (Corresponding author)Email: |
Jens Knodel is a scientist at the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern, Germany. As an applied researcher in the department “Product Line Architectures” he works in several industrial and research projects in the context of product line engineering and software architectures. His main research interests are architecture compliance checking, software evolution, and architecture reconstruction. Jens Knodel is the architect of the Fraunhofer SAVE tool (the acronym SAVE stands for Software Architecture Evaluation and Visualization). Dirk Muthig heads the division “Software Development” at the Fraunhofer Institute for Experimental Software Engineering (IESE). He has been involved in the definition, development, and transfer of Fraunhofer PuLSE (Product Line Software Engineering) methodology since 1997. Further, he leads the research and technology transfer in the area of “Software and Systems Architecture”. He received a diploma in computer science, as well as a Ph.D., from the Technical University of Kaiserslautern. Matthias Naab is an engineer at the Fraunhofer Institute for Experimental Software Engineering (IESE). He works in the areas of software- and system architectures and product lines. In several industry projects, he was involved in architecture evaluations of large-scale information systems from different industries and customers. To the Fraunhofer SAVE tool, he contributed the visualization component. Matthias Naab received a diploma in computer science from the Technical University of Kaiserslautern in 2005. 相似文献
43.
The ability to analyze the effectiveness of agent reward structures is critical to the successful design of multiagent learning
algorithms. Though final system performance is the best indicator of the suitability of a given reward structure, it is often
preferable to analyze the reward properties that lead to good system behavior (i.e., properties promoting coordination among
the agents and providing agents with strong signal to noise ratios). This step is particularly helpful in continuous, dynamic,
stochastic domains ill-suited to simple table backup schemes commonly used in TD(λ)/Q-learning where the effectiveness of
the reward structure is difficult to distinguish from the effectiveness of the chosen learning algorithm. In this paper, we
present a new reward evaluation method that provides a visualization of the tradeoff between the level of coordination among
the agents and the difficulty of the learning problem each agent faces. This method is independent of the learning algorithm
and is only a function of the problem domain and the agents’ reward structure. We use this reward property visualization method
to determine an effective reward without performing extensive simulations. We then test this method in both a static and a
dynamic multi-rover learning domain where the agents have continuous state spaces and take noisy actions (e.g., the agents’
movement decisions are not always carried out properly). Our results show that in the more difficult dynamic domain, the reward
efficiency visualization method provides a two order of magnitude speedup in selecting good rewards, compared to running a
full simulation. In addition, this method facilitates the design and analysis of new rewards tailored to the observational
limitations of the domain, providing rewards that combine the best properties of traditional rewards. 相似文献
44.
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46.
潮流场中质点运动的可视化* 总被引:1,自引:0,他引:1
提出了一种适用于非结构化网格系统中质点运动轨迹的跟踪算法。利用数值计算方法的稳定性限制条件对质点位置的搜索算法进行了优化,极大地降低了算法的时间复杂度,提高了计算效率。用Visual Fortran语言实现了质点运动的动态显示。将其用于渤海潮流场中质点运动规律的研究,初步得出了渤海中质点运动和水交换的一些规律。 相似文献
47.
This paper presents an automatic scanning and visualizing system for ultrasound field of a planar piston transducer. This system consists of a water tank with wedge absorber, stepper motors driver, system controller, a planar piston transducer, a needle-type hydrophone and data processing software. Our software realizes the processing and displaying of ultrasonic data, which are acquired by adjusting accurately positions of the hydrophone and transducer that are driven by stepper motors. And the ultrasonic field is represented by employing 1D, 2D or 3D graphs of data, respectively. Experimental results show that this auto-scanning and visualizing system provides a more spatial structure of ultrasonic field and reveals a more characteristic of ultrasonic beam radiated by the planar piston transducer. 相似文献
48.
《Ergonomics》2012,55(13):910-921
Pictorial visualization is expected to facilitate communication between industrial professionals when planning working environments and production systems. This hypothesis was investigated by studying how 24 participants including managers, supervisors, machine operators, and occupational health and safety officials, judged three types of computer animated visualization varying in dimensional view (scale and scope of a production line):shop floor view/survey of shop floor; production unit view/semi-survey of production unit; and workplace view/close-up of workplace, in relation to a set of planning issues. The participants participated in a controlled 2-day planning workshop, redesigning a fictitious manufacturing process by means of computer graphics, and then responded to a questionnaire. It can be concluded that shop floor view as well as production unit view are significant for survey planning issues, while all 3-dimensional views are significant for close-up planning issues. Analogously, all dimensional views are significant for technocentric planning issues, whereas only the workplace view is valuable for anthropocentric planning issues. 相似文献
49.
可视化前处理系统是有限元软件的重要组成部分。文章介绍了利用Visual C++和OpenGL图形库开发简易实用的三维实体有限元前处理系统的方法,实现了快速建立三维几何模型并划分网格的功能。另外,该系统具备视图操作功能,用户可方便地查看几何模型和有限元模型。 相似文献
50.