基于.NET平台的消防接处警系统的设计与实现

介绍了一个城市消防接处警系统的设计和实现，系统主要分为综合接警台和火警终端台，通过应用计算机和通信等技术，实现了消防接处警的电子化和智能化。该系统基于新一代应用程序开发环境VS．NET，支持GIS功能，是城市消防通信指挥系统的重要组成部分。     

Development of grain boundary allotriomorphic ferrite/granular bainite duplex steel

A new hot-rolled low alloy high strength steel with grain boundary allotriomorphic ferrite/granular bainite duplex micro-structure has been developed through novel microstructure and alloying designs without any noble metal elements such as nickel and molybdenum. Its as-rolled microstructure and mechanical properties, fatigue crack propagation behavior compared with single granular bainitic steel as well as continuous cooling transformation, were investigated in detail. The measured result of CCT (continuous cooling transformation) curve shows that such duplex microstructure can be easily obtained within a wide air-cooling rate range. More importantly, this duplex microstructure has much better combination of toughness and strength than the single granular bainite microstructure. It is found that the grain boundary allotriomorphic ferrite in this duplex microstructure can blunt the rni-crocrack tip, cause fatigue crack propagation route branching and curving, and thus it increases the resistance to fati     

造纸过程水分智能控制

针对造纸过程的复杂性、工艺特点及要求，本文对造纸过程的水分控制，提出模糊控制和专家系统结合的智能控制方法。实践证明该控制器满足了造纸过程对水分的工艺要求，且具有良好的鲁棒性。     

基于实时运输协议RTP的网络音频会议系统的实现

本文描述了适合实时数据传输的RIP协议，讨论了在网络环境中实现音频会议系统要解决的一些关键问题。并在此基础上，介绍了在Windows平台上的具体实现例子。     

Computationally efficient algorithms for multiple fault diagnosis in large graph-based systems

Graph-based systems are models wherein the nodes represent the components and the edges represent the fault propagation between the components. For critical systems, some components are equipped with smart sensors for on-board system health management. When an abnormal situation occurs, alarms will be triggered from these sensors. This paper considers the problem of identifying the set of potential failure sources from the set of ringing alarms in graph-based systems. However, the computational complexity of solving the optimal multiple fault diagnosis (MFD) problem is exponential. Based on Lagrangian relaxation and subgradient optimization, we present a heuristic algorithm to find approximately the most likely candidate fault set. A computationally cheaper heuristic algorithm - primal heuristic - has also been applied to the problem so that real-time MFD in systems with several thousand failure sources becomes feasible in a fraction of a second. This paper also considers systems with asymmetric and multivalued alarms (tests).     

A Knowledge Discovery System with Support for Model Selection and Visualization

The process of knowledge discovery in databases consists of several steps that are iterative and interactive. In each application, to go through this process the user has to exploit different algorithms and their settings that usually yield multiple models. Model selection, that is, the selection of appropriate models or algorithms to achieve such models, requires meta-knowledge of algorithm/model and model performance metrics. Therefore, model selection is usually a difficult task for the user. We believe that simplifying the process of model selection for the user is crucial to the success of real-life knowledge discovery activities. As opposed to most related work that aims to automate model selection, in our view model selection is a semiautomatic process, requiring an effective collaboration between the user and the discovery system. For such a collaboration, our solution is to give the user the ability to try various alternatives and to compare competing models quantitatively by performance metrics, and qualitatively by effective visualization. This paper presents our research on model selection and visualization in the development of a knowledge discovery system called D2MS. The paper addresses the motivation of model selection in knowledge discovery and related work, gives an overview of D2MS, and describes its solution to model selection and visualization. It then presents the usefulness of D2MS model selection in two case studies of discovering medical knowledge in hospital data—on meningitis and stomach cancer—using three data mining methods of decision trees, conceptual clustering, and rule induction.     

广义人工生命的科学基础(I):工程技术基础

根据广义人工生命研究的特点,作者把系统论、控制论、信息论、人工智能、元胞自动机、L-系统、遗传算法、进化策略、进化规划、耗散结构理论、协同学、突变论、混沌、分形、转基因技术、克隆技术等的研究成果视为人工生命研究的主要科学基础。文章力求对元胞自动机、L-系统、遗传算法、进化策略、进化规划、耗散结构理论、协同学、突变论、混沌、分形和它们与人工生命的关系做系统而扼要的评述,为人工生命研究提供方便。     

增强现实技术的应用和研究

增强现实技术是近年来逐渐发展起来的新兴研究领域。文章概要地介绍了实现增强现实系统的关键技术和设备,以及需要解决的难点———准确定标问题,和目前提出的相应解决方案。该文为所有对研究和使用增强现实技术产生兴趣的人提供了一个崭新的起点。     

圆柱体质心测量中转角取值分析

为获得质量非均匀圆柱体质心的三维坐标，测量时需使圆柱体转过一定的角度。分析表明，转角最好取为90度以获得最佳测量效果。如果受条件限制，宜在45度到90度之间选取，尽量避免取小于30度的值。     

解决瓶颈问题提高精整能力

本文根据济钢中厚板厂精整生产线的设备能力，分析了双边剪、成品检查台、垛板台收集钢板存在的问题是精整乃至中厚板厂生产的“瓶颈”，并提出提高精整能力的途径。