一类交互式网格曲面编辑工具的设计

在曲面造型系统中,如何方便地修改和交互地编辑曲面模型是一个关键问题。提出一种对网格曲面进行直观、交互变形的方法,它是通过一组变形工具来实现的。定义了点编辑工具、球形编辑工具和六面体编辑工具,使用不同的编辑工具可以产生不同的变形效果,还可以通过过渡参数对变形形状进行细微调整。     

粗粒度可重构阵列上的布局布线算法

开发粗粒度可重构阵列之上的映射工具是把应用算法正确有效地映射到可重构硬件上，并使算法在可重构硬件上正确高效运行的关键之所在。因此，我们设计并实现了映射工具。本文介绍了映射工具的设计和实现过程，并给出了实现中的关键技术--布局。最后，本文还就几个测试程序给出了映射工具的映射结果。测试结果证明，布局算法的结
结果正确且优化，映射工具的设计合理，功能无误。     

一种新型谐振式非接触流体声发射传感器的研制

研制高灵敏度、安装使用方便、抗干扰能力强的传感器是刀具磨破损监测研究需要解决的关键技术 .本文根据刀具磨、破损监测的特点 ,研制了既可用于刀具磨损状态监测 ,也可用于刀具破损监测的谐振式高灵敏度流体声发射传感器 .对研制的流体声发射传感器性能进行了实验研究 ,结果表明传感器对刀具磨损产生的声发射信号具有较高的灵敏度 .     

Tool wear estimation using an analytic fuzzy classifier and support vector machines

A new type of continuous hybrid tool wear estimator is proposed in this paper. It is structured in the form of two modules for classification and estimation. The classification module is designed by using an analytic fuzzy logic concept without a rule base. Thereby, it is possible to utilize fuzzy logic decision-making without any constraints in the number of tool wear features in order to enhance the module robustness and accuracy. The final estimated tool wear parameter value is obtained from the estimation module. It is structured by using a support vector machine nonlinear regression algorithm. The proposed estimator implies the usage of a larger number and various types of features, which is in line with the concept of a closer integration between machine tools and different types of sensors for tool condition monitoring.     

Tool path regeneration for mold design modification

This paper proposes a novel mold modification tool path regeneration algorithm for three-axis CNC machining based on ball end-mills. It utilizes the existing tool path points that have been generated for the original mold design prior to modification. With the proposed algorithm, a closed profile of the tool path points for the boundary of the modified region is first calculated. It is proven that if the boundary of the mold modification is interference-free, only the tool path points inside this boundary are affected by the mold modification. The tool path points that are outside the boundary can be reused to machine the modified mold. When the affected tool path points are detected, they are removed and replaced by the new tool path points. The scallop height values for the modified region are then checked. If the scallop height is greater than the given value, more CL points are added to this region to maintain the required surface finish. The algorithm has been tested on several industrial parts, and it is proven to be efficient and robust. The generated new tool path is interference-free and meets the required surface finish.     

Dreamware: edutainment system for children with developmental disability

We designed and implemented an edutainment platform, Dreamware. It effectively helps education, sensibility treatment and intelligence training for children with developmental disability. We developed special toy-like hardware and software tools: a content authoring tool that makes a variety of multimedia content operating on the hardware, a management tool that provides training results to instructors, and a real-time monitoring tool to observe the current state of learning. The hardware is designed to consider the characteristics of children with developmental disability. It can provide sensibility training, such as visual, auditory, and tactile senses to them. The easy-to-use authoring tool enables teachers and non-specialists to make educational content conveniently. In addition, the real-time monitoring tool helps observe the user’s status, even outside the classroom. The management tool stores training results and provides the result for further steps. Efficient repetitive training is possible without restriction of time and location using this platform. We can recognize that our system is effective in improving their concentration and learning.     

OOAnalysis的设计和实现

ＳＣＯＰ是一个面向对象的组合框架软件，ＯＯＡｎａｌｙｓｉｓ是ＳＣＯＰ中支持系统分析的一个工具系统，本文介绍了ＯＯＡｎａｌｙｓｉｓ的设计和实现．该工具采用并行／递归式面向对象的分析方法，采用自底向上的系统构造和对象抽象与自顶向下的系统分解和对象精化相结合的方法建立对象模型，强调多层次抽象、并行工作和递归建模．这个工具有多层次、可视化和自动化的特点.     

Supporting articulation work using software configuration management systems

Software product development is a highly collaborative activity, where teams of developers need to collaborate to produce a system. It is also a domain where systems are used to try to help the developers coordinate their work. This paper describes the results of an empirical study of the use of one such system, a configuration management tool. Specifically it describes three aspects of the support that the tool provides: the challenges of representing the work, the need to support both individuals and groups working together, and how the assumptions about software development built into the tool interact with others in the organization. The study suggests that long after the initial adoption the tool and the organization continue to interact with each other. It also opens up questions for empirical studies of the organizational context behind the tool usage.This work was supported by the Engineering and Physical Sciences Researcch Council, United Kingdom. This work was conducted while at the University of California, Irvine.     

Tool condition monitoring using reflectance of chip surface and neural network

A wide variety of tool condition monitoring techniques has been introduced in recent years. Among them, tool force monitoring, tool vibration monitoring and tool acoustics emission monitoring are the three most common indirect tool condition monitoring techniques. Using multiple intelligent sensors, these techniques are able to monitor tool condition with varying degrees of success. This paper presents a novel approach for the estimation of tool wear using the reflectance of cutting chip surface and a back propagation neural network. It postulates that the condition of a tool can be determined using the surface finish and color of a cutting chip. A series of experiments has been carried out. The experimental data obtained was used to train the back propagation neural network. Subsequently, the trained neural network was used to perform tool wear prediction. Results show that the prediction is in good agreement with the flank wear measured experimentally.     

组态化嵌入式软件仿真系统设计

为缩短开发周期,提高嵌入式软件仿真系统的设计水平,提出一种组态化嵌入式系统设计。集成仿真建模工具、仿真模型代码生成工具,实现仿真运行环境搭建和对仿真数据的实时监控,采用组态化的仿真方法,根据用户需求生成监控界面。实验结果表明,该系统的运行平台快速高效,监控环境良好。     

Checking Timed Büchi Automata Emptiness Efficiently

This paper presents an on-the-fly and symbolic technique for efficiently checking timed automata emptiness. It is symbolic because it uses the simulation graph (instead of the region graph). It is on-the-fly because the simulation graph is generated during the test for emptiness. We have implemented a verification tool called Profounder based on this technique. To our knowledge, Profounder is the only available tool for checking emptiness of timed Büchi automata. To illustrate the practical interest of our approach, we show the performances of the tool on a non-trivial case study.     

综合风险评估工具的设计与实现

研究了信息安全风险评估工具的分类方法与发展趋势，在分析国内外多种风险评估方法的基础上，设计并实现了一个综合风险评估工具。该工具是多专家评估系统，集成了安全管理评价工具、系统软件评估工具和风险评估辅助工具3类工具的功能，运用定量和定性相结合的方法进行风险评估，为提高风险评估效率、确保评估结果的科学性提供了有力支持。     

A decision support tool for evaluating customer intentions

It is crucial for any manager to keep a close watch on customer satisfaction, customer loyalty and the customer’s intention to recommend the company. In this article, a new decision support tool is developed to support a manager with this task. This tool has been developed with companies in mind that posses limited customer satisfaction data. It uses model-based knowledge discovery to extract the customer’s expectation and the expectation-performance compatibility from the data. Two hypotheses are formulated which posit that compatibility between product performance and customer expectation have a positive influence on the customer’s intentions. Both hypotheses are supported by the data. Finally, a decision support tool is developed which visualizes the impact of customer satisfaction, product performance and expectation-performance compatibility on the customer’s intentions. The decision support tool contains three views which offer the manager important information at a glance.     

Evaluating and selecting testing tools

A system using process and forms to give managers and tool evaluators a reliable way to identify the tool that best fits their organization's needs is discussed. It is shown that a tool evaluator must analyze user needs, establish selection criteria (including general criteria, environment-dependent criteria, tool-dependent functional criteria, tool-dependent nonfunctional criteria, and weighting), search for tools, select the tools, and then reevaluate the tools. Forms for recording tool selection criteria, classifying testing tools, profiling tool-to-organization interconnections, creating hardware and software profiles, and creating tool-interconnection profiles are presented. It is argued that, with these forms, evaluators have a reasonably accurate and consistent system for identifying and quantifying user needs, establishing tool-selection criteria, finding available tools, and selecting tools and estimating return on investment     

Applications of genetic algorithms in process planning: tool sequence selection for 2.5-axis pocket machining

Tool sequence selection is an important activity in process-planning for milling and has great bearing on the cost of machining. Currently, it is accomplished manually without consideration of cost factors a priori. Typically, a large tool is selected to quickly generate the rough shape and a smaller clearing tool is used to generate the net-shape. In this paper, we present a new systematic method to select the optimal sequence of tool(s), to machine a 2.5-axis pocket given pocket geometry, a database of cutting tools, cutting parameters, and tool holder geometry. Algorithms have been developed to calculate the geometric constructs such as accessible areas, and pocket decomposition, while considering tool holders. A Genetic Algorithm (GA) formulation is used to find the optimal tool sequence. Two types of selection mechanisms namely “Elitist selection” and “Roulette method” are tested. It is found that the Elitist method converges much faster than the Roulette method. The proposed method is compared to a shortest-path graph formulation that was developed previously by the authors. It is found that the GA formulation generates near optimal solutions while reducing computation by up to 30% as compared to the graph formulation.     

基于图像连通区域数的刀具磨损状态特征提取实验研究

为了利用计算机视觉技术进行刀具状态监测,设计了机械加工刀具状态监测实验系统,并通过将图像处理技术引入到机械加工刀具磨损状态监测中,提出了一种通过提取工件表面图像的连通区域数来判断刀具磨损状态的新方法。该方法首先采集被加工工件的表面图像;然后对图像进行预处理,并对区域行程算法进行了改进,再用改进的区域行程标记算法对机械加工工件表面图像进行标记;最后通过统计连通区域数来判断刀具的磨损状态。理论和实验分析表明,由于加工工件表面图像的连通区域数和刀具磨损有很强的相关性,其可以间接判断刀具磨损情况,从而可达到对刀具状态进行监测的目的。实验表明,该方法计算简单、识别速度快,可以有效地判断刀具的磨损状态。