基于图像反馈的回转窑烧结温度智能预测控制

利用火焰图像作为回转窑烧结温度的反馈信号参与闭环预测控制,融合现场热工信号,设计了烧结温度的RBF网络预测模型,并利用遗传算法进行滚动优化,现场运行结果表明该方法可在正常工况下对烧结温度进行稳定控制.     

基于多传感器模糊处理的工况识别

本文简要地介绍了模糊传感器与证据理论,提出了将两者结合起来的一种数据融合 方法,并以工业回转窑为研究对象,来解决复杂工业条件下的工况温度识别问题,现场实验 表明了这种方法的有效性．     

复杂工业系统的多传感器信息融合智能技术研究

本文研究了复杂工业系统的现场数据检测与信息融合、控制、管理与决策及运行状态等特征,提出了实现复杂工业系统的多传感器信息融合处理的智能方法和技术,给出了复杂融合处理的应用实例.     

无线传感网络在工业生产检测系统中的应用

介绍了一种基于CC2430的无线传感网络对工业生产现场的温度和电压检测系统,为工业生产现场的温度和电压实时检测提供了一种新的方法,同时系统检测到的数据为工业现场的诊断提供了可靠的依据。该系统体积小、功耗低、电路简单,安装方便。     

一种基于CHMM的回转窑喂煤量变化趋势预测方法

提出了一种基于CHMM的工业回转窑喂煤量变化趋势预测的辅助控制系统方法。采用PCA方法对现场采集的数据进行主成分分析方法进行数据降维,并以主元特征序列作为CHMM模型的观测序列。最后,采用回转窑现场热工数据作为实验数据进行喂煤量变化趋势仿真试验,并以此来实现对专家系统的辅助控制,试验结果表明该方法是有效的。     

基于神经网络的水泥回转窑控制系统研究

水泥回转窑的工作过程是水泥生产中的核心部分,它的生产过程是一个具有大惯性,纯滞后,非线性和强耦合的过程,建立精确的复杂模型非常困难,针对水泥回转窑工作过程中起关键作用的物料温度、窑转矩、含量,用ART-2和BP两种神经网络进行数据融合、分类,得到能较准确反映现场的工况信息,达到对回转窑电机的控制。     

数据融合技术在消防车检测系统中的研究

文中主要研究消防车检测系统中温度工作状态参数,给出了基于DSP TMS320LF2407为核心的硬件构成,提出了基于多传感器数据检测与数据融合技术的温度采集方法。在多传感器采集数据基础上,采用分布图法去除疏失误差,同时采用自适应加权数据融合算法的方法对采集的数据进行融合。实测表明,采用这种方法可以提高温度采集的精度,同时有效地解决了由于传感器失效引起的误差和单点采集温度的不足。有效地保证了消防车检测系统的实时性和准确性。有一定良好的应用前景。     

智能温湿度控制系统在配电柜体内的应用

主要研究电力系统中配电柜体内温湿度检测与自动调节,提出了基于多传感器数据检测与数据融合技术的配电柜体内温湿度采集方法。在多传感器采集数据基础上,采用分布图法去除疏失误差,同时采用Bayes后验估计理论融合的方法对采集的数据进行融合。为了更加精确地对温度进行控制,将数据融合技术和湿度变量跟传统的PID控制算法相结合。实测表明,采用这种方法可以提高温度采集的精度,同时有效地改善了由于传感器失效引起的误差、单点采集温度和PID控制的不足。     

基于多传感器数据融合的温室温度采集

温室具有空间大且温度场分布受多种参数影响大等特点。基于这些特点，本文提出了基于多传感器数据检测与数据融合技术的温室环境温度采集方法。在多传感器采集数据基础上，采用分布图法去除疏失误差，同时采用基于均值的递推估计融合的方法对采集的数据进行融合。仿真结果表明，采用这种方法可以提高温度采集的精度，同时有效地消除了由于传感器失效引起的误差。     

MN7150在巡回检测系统中的应用

巡回检测系统广泛应用于工业现场流量、温度等参数的测量，其工作环境恶劣．因此提高系统的稳定性至关重要。将集成度很高的数据采集系统MN7150应用于巡回检测系统，设计简单、实用可靠。介绍了MN7150的内部结构及其应用于巡回检测系统的软、硬件设计方案。实践已证明。其在现场巡回检测系统中的应用是令人满意的。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。