基于均匀设计的粒子群算法及其在飞控系统中的应用

将粒子群算法应用于飞行控制系统的优化设计中,需要解决两个问题：如何选择目标函数和如何确定初始种群和算法运行参数。针对这两个问题,分别提出了基于参考模型的飞行控制系统优化策略和基于均匀设计的粒子群算法初始种群和运行参数的选择方法。仿真结果表明,本文所提出的优化策略能够有效地解决飞行控制系统的优化设计问题,粒子群初始种群分布均匀,收敛速度快。     

Towards useful and usable interaction design tools: CanonSketch

Despite all the effort dedicated to bringing better User-Centered Design (UCD) tools to market, current studies show that the industry is still dominated by tools that do not support the activities and workstyles of designers. Also, there is a growing need for interaction design tools aimed at software engineers, a problem related to bringing usability into the software engineering processes.

We propose a new workstyle model that can be effectively used to envision, design and evaluate a new generation of innovative interaction and software design tools, aimed at integrating usability and software engineering.

We illustrate the effectiveness of our model by describing a new tool, called CanonSketch, that was built in order to support UCD in terms of the dimensions in our workstyle model. We also describe an evaluation study aimed at contrasting paper prototyping with our tool as well as the level of workstyle support.     

DeepComp: towards a balanced system design for high performance computer systems

Today, cluster-based computing is the mainstream architecture for high end computer systems. Balanced system design is critical for large scale cluster systems to achieve high efficiency. This paper addresses the practice on DeepComp high end computer systems toward a balanced system design. Methodologies of designing balanced large scale cluster systems are given. A method for balancing central processing unit (CPU) and memory hierarchy is addressed. For balancing computing nodes and I/O systems, two approaches are given: maximum bandwidth criterion and maximum number of computing nodes which can concurrently access I/O systems. Experiences of Lenovo high end cluster systems show that above methods are effective. Lenovo strategies toward a balanced system design for both peta and 10 peta scale high productivity computing systems (HPCSs).     

面向GUI软件测试的交互图生成及其实现*

从控件的信息入手,研究了界面的控件间功能交互关系,提出了基于交互图的GUI测试方法,并开发了一个基于交互图的GUI测试工具GUITester.它能自动生成交互图和测试用例,大大提高了GUI软件测试的效率和覆盖率.     

Move to get moved: a search for methods,tools and knowledge to design for expressive and rich movement-based interaction

The world is inherently meaningful for us, i.e. we perceive the world in terms of what we can do with it, and by physically interacting with it we access this meaning and express the meaning. We believe that this is the core reason and foundation for turning to movement-based interaction. ‘Interaction creates meaning’ does not only hold for users during interaction but also for designers when generating ideas and developing concepts. Therefore, we postulate that if one truly likes to design for movement-based interaction, one has to be or become an expert in movement, not just theoretically, by imagination or on paper, but by doing and experiencing while designing. In order to do so, we believe that designers need design tools, techniques, knowledge, awareness and skills that support their search for expressive, rich behaviour. Our search for this support resulted in several methods, tools and knowledge that help designers exploring, visualising and reflecting on interactions. Our developed methods and tools such as the Design Movement approach with its choreography of interaction, gestural design tools, interactive installations and interactive tangible sketching, have not only supported and inspired designers to design for movement-based interaction, but also resulted in surprising, fresh designs in comparison with the limited scope of rather uniform and traditional electronic consumer products. This paper discusses the possibilities and limitations of our approach.     

盲人手机输入方案的交互设计和评估

以交互设计模式对盲人手机界面的输入方式进行了研究,按照交互设计流程对盲人手机进行需求分析,提出了盲人手机输入方式的两个候选方案,并利用非语音声音表示数据的听觉显示技术在Windows图形界面上建立了原型.利用原型以迭代方式对方案进行了两轮评估和改进,展望了候选方案的研究前景.     

A multimodal teaching advisor for sensor-enhanced robotic systems in manufacturing

A multimodal teaching advisor (MTA) has been developed for sensor-enhanced robotic systems used in manufacturing. The MTA utilizes the work-site operator's know-how and robotic-systems information, including that from sensors, in a complementary manner. This system integrates information from various sources to carry out robotic tasks and presents this information through user interfaces that are easily understood by the operator. That is, the system integrates task specifications including tolerances, system constraints, sensory information, and operator- and robot-related information. The synthesized information is then presented in realtime to the operator at the work-site through a mobile multimodal interface. Experimental results show that this system can significantly improve total robotic system performance by ensuring a high-quality teaching task.