基于动态模糊决策树的心电信号分类方法

为提高心电信号分类识别的准确率,提出一种基于时频特征融合与动态模糊决策树的心电信号分类识别方法。对心电信号依次进行周期分割、小波包分解与重构和形态识别处理,将小波包变换系数矩阵的二范数作为频域特征,并与时域特征进行融合以表征心电信号,同时将模糊C均值聚类引入模糊决策树的建树过程中,实现特征空间的动态划分。在MIT-BIH标准心电数据库上的实验结果表明,该方法的分类识别准确率较高,心电信号正异常分类的准确率达99.14%。     

基于HGWO-MSVM的采煤机滚动轴承故障诊断方法

针对采煤机滚动轴承故障特征向量提取较困难、多分类效果不理想等问题,提出了基于HGWOMSVM的采煤机轴承故障诊断方法。对轴承故障信号进行小波降噪处理,利用经验模态分解算法对降噪后信号进行分解,并提取能量特征值,作为MSVM的训练集和测试集。采用MSVM进行故障状态识别,并用HGWO算法对MSVM的参数进行优化。试验结果表明,相比于GWO、GA和PSO优化MSVM模型,基于HGWO-MSVM的采煤机轴承故障诊断模型可明显提高故障识别精度和效率。     

基于小波包最佳基分解的特征表示

特征提取是信号识别与分类中的重要一环,对提高系统的准确、改善系统性能起着关键的作用。利用小波包变换对信号进行特征提取是近年来发展起来的一种新的特征表示手段,在许多领域中已获得了成功的应用。论文首先回顾了采用小波包变换对信号进行分解的过程,并在此基础上研究了基于小波包变换的特征表示与提取方法。     

基于小波包分析的虹膜识别研究

虹膜特征提取是虹膜识别中的关键环节.小波方法在提取虹膜特征时未对分解后的高频空间进一步细化分解,而虹膜纹理特征较多地蕴含在高频空间中,因此提取的虹膜特征在表示特征能力上存在不足.针对此类问题,提出一种基于小波包多尺度分解的虹膜识别方法,利用阈值将小波包分解后第二层对角高频子带图调制为虹膜特征码,利用海明距离对特征进行识别.对108类人眼虹膜图像进行特征提取与匹配,分解小波采用sym2小波,共进行5350次特征匹配,正确识别率达到98.5％,在识别性能上优于Boles的小波变换过零点法和Lim的二维Haar小波变换法,仅次于Daugman的二维Gabor方法.     

基于小波包分析的虹膜识别研究

虹膜特征提取是虹膜识别中的关键环节.小波方法在提取虹膜特征时未对分解后的高频空间进一步细化分解,而虹膜纹理特征较多地蕴含在高频空间中,因此提取的虹膜特征在表示特征能力上存在不足.针对此类问题,提出一种基于小波包多尺度分解的虹膜识别方法,利用阈值将小波包分解后第二层对角高频子带图调制为虹膜特征码,利用海明距离对特征进行识别.对108类人眼虹膜图像进行特征提取与匹配,分解小波采用sym2小波,共进行5350次特征匹配,正确识别率达到98.5％,在识别性能上优于Boles的小波变换过零点法和Lim的二维Haar小波变换法,仅次于Daugman的二维Gabor方法.     

基于小波包最佳基包解的特征表示

特征提取是信号识别与分类中的重要一环，对提高系统的准确、改善系统性能起着关键的作用。利用小波包变换对信号进行特征提取是近年来发展起来的一种新的特征表示手段，在许多领域中已获得了成功的应用。论文首先回顾了采用小波包变换对信号进行分解的过程，并在此基础上研究了基于小波包变换的特征表示与提取方法。     

基于小波预处理和贝叶斯分类器的P300识别算法

提出了一种高效的诱发电位P300成分识别算法用于脑计算机接口.采用小波分解与重构法去噪,根据P300特征决定小波基函数和分解层教,抽取出最明显的特征成分,结合基于证据框架的贝叶斯回归学习方法,获得对应类别概率进行分类决策.数据来源于2004 BCI Competition Ⅲ中的dataset PⅡ300字符拼写实验...     

基于小波包能量熵的电能质量扰动识别

提出了一种基于小波包能量熵的电能质量扰动识别方法。该方法对仿真的扰动电压信号进行4层小波包分解,提取小波包能量熵特征向量,利用主分量分析法提取电压信号的小波包特征向量并输入到概率神经网络(PNN)进行扰动识别,实现了扰动样本的最优压缩,简化了扰动分类中神经网络分类器的结构,提高了神经网络扰动识别的速度和精度。仿真结果表明,该方法具有良好的扰动识别能力。     

基于小波包的新LDB人脸识别方法

研究人脸特征优化识别问题,图像信息中存在不同噪声和不同人脸特征.通过特征提取识别,获得不同人脸特征.针对传统人脸识别方法的识别率受光照、旋转等约束条件影响大的缺点,为了提高识别率,提出了一种根据小波包变换和改进的LDB(Local Discriminant Basis)方法相结合的人脸识别方法.算法首先利用小波包对人脸图像进行分解,再采用改进的LDB方法获取最佳分类特征,最后利用Euclidean距离函数进行分类识别.在人脸库Feret进行实验.结果表明,新算法减少了计算复杂度,提高了识别率,为人脸识别提供了依据.     

基于小波域差值系数的织物疵点分割与识别

小波分解系数的织物疵点特征曲线容易受各层周期性噪声的影响,不能有效提取特征和定位疵点区域.提出了小波域差值系数的织物疵点分割与识别方法.首先将小波分解后的水平和垂直高频系数与平滑系数相减,除去周期性噪声,然后,分别提取水平和垂直差值系数熵、能量、方差曲线的最大值、均值及方差特征参数,最后利用支持向量机进行分类识别.仿真...     

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。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

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     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

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.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.