手机MMI资源仿真工具的设计与实现

介绍了目前国内主流手机开发商所采用的人机接口界面(MMI)软件开发的现状，分析了现存方法的不足之处，在此基础上提出了将MMI的客户特性和工作代码完全分离的开发MMI资源仿真工具(MST)的方案，以提高手机MMI软件的开发效率。该文讨论了MST目标功能实现的原理，阐述了方案的设计思想，说明了整个系统的结构、原理和开发平台。该系统已被应用于国内手机的开发，并取得了较显著的成效。     

基于软件工程的Web开发技术

尽管当前Web系统开发已成为系统开发的重要环节,但开发流程仍然依靠开发人员的积累的个人经验,缺少系统、规范的方法,导致Web系统开发资源复用率低、移植性差,维护性和继承性得不到良好体现。基于此,针对Web开发技术进行研究,简单了解Web开发技术的思想,分析Web开发技术的开发特点和开发过程,探索Web开发技术中的语言技术。     

Web技术分析及其在农业专家系统开发平台中的应用

文章介绍了Web技术和基于Web的农业专家系统开发平台。主要包括Web技术的分析、Web在开发农业专家系统开发平台网络版的应用及其实现。     

一种Web应用系统开发平台的研究与设计

为了提高Web应用系统的质量和开发效率,研究并分析了其通用模块开发效率问题,提出了一个Web应用系统开发平台.平台融合了快速原型法和模块化设计思想并改进了Web应用系统开发文档的处理流程,提供文档管理、模块定制、动态编译、版本控制等功能.研究表明该平台将有效地缩短Web应用系统开发中的通用模块开发周期,具有Web应用系统开发生命周期管理、粗粒度控制、模块化开发和快速生成系统原型等优点.     

Web工程过程研究

基于Web的应用系统开发和传统软件开发有显著区别,传统软件工程方法和技术应用到基于Web的系统开发中,显得力不从心。在多个基于Web的系统开发实践基础上,阐述Web工程与传统软件工程的区别,分析基于Web的应用开发的人员组织,提出一个Web工程过程模型。     

基于BPMN的Web服务合成框架

随着现有Web服务数量的不断增加,如何利用已有的Web服务合成新的Web服务成为研究的热点.提出一种利用BPMN实现Web服务合成的框架,它由系统框架和开发框架两部分组成,系统框架提供了一个发布、调用和执行Web服务的平台,开发框架给出Web服务合成的开发环境和开发步骤.     

基于Spring框架的Web Services系统整合与研究

Web Services通过集成第三方Web服务能够提高应用系统开发效率.但是传统的Web Services在开发中存在代码开发效率低、复用性差,而且可扩展性差.应用现在流行的轻量级Spring容器对Web Services进行系统整合,可大大提高开发效率,有效降低开发成本.     

浅谈SQL SERVER2008+JSP网站开发

Web网站应用系统的开发中,JSP技术适应的平台多、速度快、开销小,有着广泛的应用。Web网站应用系统的开发中,更离不开数据库的支撑。在教学过程中,我们选用Sql server+Jsp技术来进行Web网站的开发。     

基于四层架构的Web事务处理系统开发方法研究

本文讨论了如何采用层次架构来设计Web应用系统,将一个Web系统分为显示层、程序逻辑层、业务逻辑层和数据访问层;以及在开发过程中采用并行开发方式是提高Web应用系统开发效率和可维护性。     

XML在Web Services中的应用与研究

针对传统的Web应用开发所面临的问题,通过对比与分析传统的Web开发方式和基于XML技术的Web应用开发方式,提出了一种新颖的基于XML技术的Web开发方式。该基于XML技术的Web开发方式与传统的Web开发方式相比,其具有的最大优点是:能够解决Web Services中业务系统抽象、统一多种业务受理流程、分隔显示逻辑与业务逻辑、构建灵活的数据交换、提供具有方便快捷的二次开发、提高Web应用开发的效率,从而以适应越来越复杂的Web应用系统的开发需求。     

Brain–Computer Interfaces for Multimodal Interaction: A Survey and Principles

For decades, brain–computer interfaces (BCIs) have been used for restoring the communication and mobility of disabled people through applications such as spellers, web browsers, and wheelchair controls. In parallel to advances in computational intelligence and the production of consumer BCI products, BCIs have recently started to be considered as alternative modalities in human–computer interaction (HCI). One of the popular topics in HCI is multimodal interaction (MMI), which deals with combining multiple modalities in order to provide powerful, flexible, adaptable, and natural interfaces. This article discusses the situation of BCI as a modality within MMI research. State-of-the-art, real-time multimodal BCI applications are surveyed in order to demonstrate how BCI can be helpful as a modality in MMI. It is shown that multimodal use of BCIs can improve error handling, task performance, and user experience and that they can broaden the user spectrum. The techniques for employing BCI in MMI are described, and the experimental and technical challenges with some guidelines to overcome these are shown. Issues in input fusion, output fission, integration architectures, and data collection are covered.     

基于ActiveX技术的虚拟DCS人机界面的开发

传统DCS仿真系统的人机界面开发大多通过组态工具完成,工作量大,修改较烦.虚拟DCS包括对控制逻辑和人机界面两部分的虚拟,在逼真度、应用功能和节省的投资方面表现出相对的综合优势.对采用ActiveX控件开发虚拟DCS人机界面进行了研究分析,并结合600MW仿真系统项目,对TXP控制系统中的人机界面进行了虚拟,最后,以操作/指示窗口控件以及曲线控件的开发作为实例.     

A usability study of multimodal input in an augmented reality environment

In this paper, we describe a user study evaluating the usability of an augmented reality (AR) multimodal interface (MMI). We have developed an AR MMI that combines free-hand gesture and speech input in a natural way using a multimodal fusion architecture. We describe the system architecture and present a study exploring the usability of the AR MMI compared with speech-only and 3D-hand-gesture-only interaction conditions. The interface was used in an AR application for selecting 3D virtual objects and changing their shape and color. For each interface condition, we measured task completion time, the number of user and system errors, and user satisfactions. We found that the MMI was more usable than the gesture-only interface conditions, and users felt that the MMI was more satisfying to use than the speech-only interface conditions; however, it was neither more effective nor more efficient than the speech-only interface. We discuss the implications of this research for designing AR MMI and outline directions for future work. The findings could also be used to help develop MMIs for a wider range of AR applications, for example, in AR navigation tasks, mobile AR interfaces, or AR game applications.     

韶关发电厂#8机组DCS系统网络优化

针对韶关发电厂#8机组DCS系统所存在的DPU离线和MMI站死机或自动重启问题进行研究,通过网络升级改造,将原有的FDDI／CDDI网络移植到FE（快速以太网）网络,最终解决了DCS系统的DPU离线、MMI站死机或自动重启这一顽症。     

电力系统电压稳定人机系统的开发

电力系统电压稳定性是一个具有挑战性的问题.电压稳定性软件离不开人机系统的支撑.开发稳定、高效的人机系统是电压稳定性软件的重要组成部分,也是基础的部分.本文阐述了人机系统软件相关的矢量图形系统、数据库系统、信息系统、空间信息分析系统,给出了基本原理和技术解决方案.     

用于波分复用的1×4多模干涉耦合器

根据多模干涉(MMI)技术和波分复用原理,设计并研制出应用于波分复用系统的1×4钛扩散铌酸锂(Ti:LiNbO3/LiNbO3)多模干涉耦合器.对MMI耦合器进行了理论研究和设计计算,完成了结构参数的优化设计、特性参数(损耗,分光比)的计算和实验验证,并与常规的M-Z型耦合器进行了对比.设计出的1×4MMI耦合器的长度为6 mm,损耗为1.4 dB,而使用三个M-Z型耦合器构成1×4耦合器,总长度为60 mm,总损耗为1.5 dB;因此,采用MMI耦合器,具有结构紧凑、损耗低、工艺简单、容差性好等一系列独特的优点.     

The Method for Extracting New Login Sentiment Words from Chinese Micro-Blog Basedf on Improved Mutual Information

The current method of extracting new login sentiment words not only ignores the diversity of patterns constituted by new multi-character words (the number of words is greater than two), but also disregards the influence of other new words co-occurring with a new word connoting sentiment. To solve this problem, this paper proposes a method for extracting new login sentiment words from Chinese micro-blog based on improved mutual information. First, micro-blog data are preprocessed, taking into consideration some nonsense signals such as web links and punctuation. Based on preprocessed data, the candidate strings are obtained by applying the N-gram segmentation method. Then, the extraction algorithm for new login words is proposed, which combines multi-character mutual information (MMI) and left and right adjacent entropy. In this algorithm, the MMI describes the internal cohesion of the candidate string of multiple words in a variety of constituted patterns. Then, the candidate strings are extended and filtered according to frequency, MMI, and right and left adjacency entropy, to extract new login words. Finally, the algorithm for the extraction of new login sentiment words is proposed. In this algorithm, the Sentiment Similarity between words (SW) is determined in order to measure the sentiment similarity of a new login word to other sentiment words and other new login sentiment words. Then, the sentiment tendency values of new login words are obtained by calculating the SW to extract new login sentiment words. Experimental results show that this method is very effective for the extraction of new login sentiment words.     

基于最大互信息的混沌时间序列多步预测

针对混沌时间序列的多步预测,提出了基于最大互信息（MMI）的建模方法.首先建立时间延迟、嵌入维数和预测步长在相空间的最大信息量模型;然后利用遗传算法求解并确定混沌时间序列的最佳预测结构;最后对Mackey-Glass系统和月太阳黑子的仿真实验表明,MMI可以确定更好的预测结构,提高了混沌时间序列的预测精度.