通用绘图软件NuSlides中的面向对象的用户界面设计

本文描述在Ｕｎｉｘ环境下开发的通用绘图软件ＮｕＳｌｉｄｅ中的图形用户界面的设计思想和实际方法。其特点是基子面向对象的技术，提供多窗口、菜单驱动、选择面板、键盘输入等多种才法。该图形用户界面具有灵活性、可扩充性和易使用性。     

数据采集与监控软件Genie

Genie是具有国际先进水平的数据采集与监控软件，它提供了一个面向对象的图形化用户界面，因此简化了数据采集过程、控制应用程序开发和操作员界面。本文介绍了Genie的特点、功能、基本用途以及VISUALBA－SIC在设计这类监控软件中的作用。     

Augment low-field intra-operative MRI with preoperative MRI using a hybrid non-rigid registration method

Background

Preoperatively acquired diffusion tensor image (DTI) and blood oxygen level dependent (BOLD) have been proved to be effective in providing more anatomical and functional information; however, the brain deformation induced by brain shift and tumor resection severely impairs the correspondence between the image space and the patient space in image-guided neurosurgery.

Method

To address the brain deformation, we developed a hybrid non-rigid registration method to register high-field preoperative MRI with low-field intra-operative MRI in order to recover the deformation induced by brain shift and tumor resection. The registered DTI and BOLD are fused with low-field intra-operative MRI for image-guided neurosurgery.

Results

The proposed hybrid registration method was evaluated by comparing the landmarks predicted by the hybrid registration method with the landmarks identified in the low-field intra-operative MRI for 10 patients. The prediction error of the hybrid method is 1.92 ± 0.54 mm, and the compensation accuracy is 74.3 ± 5.0%. Compared to the landmarks far from the resection region, those near the resection region demonstrated a higher compensation accuracy (P-value = .003) although these landmarks had larger initial displacements.

Conclusions

The proposed hybrid registration method is able to bring preoperatively acquired BOLD and DTI into the operating room and compensate for the deformation to augment low-field intra-operative MRI with rich anatomical and functional information.     

An exploratory study on ontology engineering for software architecture documentation

The usefulness of Software Architecture (SA) documentation depends on how well its Architectural Knowledge (AK) can be retrieved by the stakeholders in a software project. Recent findings show that the use of ontology-based SA documentation is promising. However, different roles in software development have different needs for AK, and building an ontology to suit these needs is challenging. In this paper we describe an approach to build an ontology for SA documentation. This approach involves the use of typical questions for eliciting and constructing an ontology. We outline eight contextual factors, which influence the successful construction of an ontology, especially in complex software projects with diverse AK users. We tested our ‘typical question’ approach in a case study and report how it can be used for acquiring and modeling AK needs.     

LoVis: Local Pattern Visualization for Model Refinement

Linear models are commonly used to identify trends in data. While it is an easy task to build linear models using pre‐selected variables, it is challenging to select the best variables from a large number of alternatives. Most metrics for selecting variables are global in nature, and thus not useful for identifying local patterns. In this work, we present an integrated framework with visual representations that allows the user to incrementally build and verify models in three model spaces that support local pattern discovery and summarization: model complementarity, model diversity, and model representivity. Visual representations are designed and implemented for each of the model spaces. Our visualizations enable the discovery of complementary variables, i.e., those that perform well in modeling different subsets of data points. They also support the isolation of local models based on a diversity measure. Furthermore, the system integrates a hierarchical representation to identify the outlier local trends and the local trends that share similar directions in the model space. A case study on financial risk analysis is discussed, followed by a user study.     

基于UC/GUI的嵌入式GUI在S3C 2410上的移植

嵌入式图形用户界面为嵌入式系统提供了人机交互界面,大大方便了嵌入式系统的人机交互,进而加速了嵌入式系统的流行。选择了基于UC/GUI的嵌入式GUI作为移植对象,并详细介绍了将其移植至S3C2410开发平台上的技术。该移植技术对于其他的嵌入式开发板也具有一定的参考价值。     

三维编织复合材料编织工艺过程仿真研究

总结了四步编织工艺的运动规律。对纱线的空间坐标进行三次B样条曲线拟合得到拟合坐标;设计实现了纱线实体的静态模型算法,根据拟合坐标得到纱线空间网格坐标并建立了纱线实体的静态模型;实现了纱线轨迹的动态展示以及实体生成过程的动态展示;构建了GUI界面并编译成了可脱离Matlab环境的独立运行程序。     

Towards a smooth design process for static communicative node‐link diagrams

Node‐link infographics are visually very rich and can communicate messages effectively, but can be very difficult to create, often involving a painstaking and artisanal process. In this paper we present an investigation of node‐link visualizations for communication and how to better support their creation. We begin by breaking down these images into their basic elements and analyzing how they are created. We then present a set of techniques aimed at improving the creation workflow by bringing more flexibility and power to users, letting them manipulate all aspects of a node‐link diagram (layout, visual attributes, etc.) while taking into account the context in which it will appear. These techniques were implemented in a proof‐of‐concept prototype called GraphCoiffure, which was designed as an intermediary step between graph drawing/editing software and image authoring applications. We describe how GraphCoiffure improves the workflow and illustrate its benefits through practical examples.     

嵌入式软件GUI自动化测试平台研究

为实现嵌入式软件的GUI自动化测试,对嵌入式软件GUI自动化测试现状深入分析,提出了一种无侵入式的GUI自动化测试框架,利用图像采集与信息识别技术实现测试用例结果判断;利用键盘鼠标模拟技术模拟测试用例执行的人机交互;利用脚本语言嵌入技术实现用例编辑与转换、利用嵌入式软件GUI测试自动化控制技术实现用例的自动驱动与执行;在此基础上,设计并研发了嵌入式软件GUI自动化测试平台,能够方便、有效地实现无侵入式的嵌入式GUI自动化测试.     

Qt／Embedded触摸屏的智能家居无线传输系统设计

设计了一个基于Qt/Embedded触摸屏的智能家居控制平台,并通过zigbee组网的方式,实现家居的智能化控制。首先,智能家居的界面用Qt／Embedded设计,然后,界面被移植到以ARM9为微处理器的控制平台上,并实现界面的触摸屏功能;最后,通过串口驱动将设计的具有触摸屏功能的界面与zigbee组网的协议连接起来,实现对智能家居控制的无线传输。