基于模糊算法的多聚焦图像融合效果评价研究

针对多聚焦图像的融合效果评价问题,提出了一种基于模糊理论的图像融合效果评价方法.该方法采用融合图像熵值、交互信息量值、平均梯度值、偏差值构成单因素评价指标集,引入基于专家评判法的人的知识确定隶属度函数,用对比排序法综合各个单因素指标得到综合评价指标,其计算简单,评价结果更为全面客观.将该方法应用于多聚焦图像的融合试验,评价结果与理论分析和人的目视效果一致,从而证明了该评价方法的有效性.     

矿井通风系统健康评价研究

现有的矿井通风系统健康评价方法大多采用常权权重,评价结果易与实际背离,无法反映系统真实状态,同时选取的指标较多,各指标权重较低,导致部分指标异常对系统整体健康程度的影响难以发现。基于矿井通风系统实际运行状况及健康评价要求,选取21项影响因素作为健康评价指标,构建矿井通风系统健康评价指标体系;综合运用模糊综合评价法、层次分析法、变权理论,对矿井通风系统进行健康评价,即通过层次分析法确定评价指标权重,采用基于隶属度的Hardarmard乘积变权模型对指标权重进行变权计算,基于模糊综合评价法的最大隶属度评定准则确定矿井通风系统健康度。采用该方法对某煤矿通风系统健康度进行评价,结果表明该方法的评价结果与实际情况相符,与基于常权权重的评价方法相比,可根据实际情况调整评价指标权重,使评价结果更加客观,且放大了不健康指标的影响,突出系统安全隐患,从而引起相关人员重视。     

数字化车间布局模糊层次评价方法研究

按照模糊层次分析法的思路建立车间布局评价的模糊层次评价模型;根据影响车间生产性能的各个因素进行分析,建立车间市局评价的指标体系;应用层次分析法确定各因素的权重;自上而下的计算各级指标关于评价目标的综合重要度;通过专家打分的方法确定方案的隶属度;根据权重、隶属度,利用模糊层次评价方法,既可对车间的布局做出综合评价.最后以某发动机关键零件牛产车间为研究对象,验证了方法的可行性和有效性.     

基于加权Chebyshev距离的融合图像评价指标

针对目前单因素评价指标的局限性和评价结果的不一致性,从模糊集理论出发,提出了一种基于加权Chebyshev距离的图像评价方法.该方法将两幅图像映射到两个模糊集中,通过隶属度和权重的选择来确定模糊集的Chebyshev距离,该距离值可以综合反映融合图像性能的优劣.仿真实验表明该评价指标与多数单因素评价指标一致,对极少数差异较大的像素点不敏感,并且与目视效果有很好的一致性.     

改进的模糊C-均值聚类有效性指标

针对模糊C-均值的现有评价指标没有涉及到数据集的真实几何分布结构和先验信息的问题,为了能准确找到与数据样本自然分布相匹配的簇,提出了一种改进的有效性评价指标VCSC。该指标结合簇内数据平方误差和、隶属度权值及根号权值定义紧凑性度量,结合簇中心距离最小值、隶属度及各簇中心到平均簇中心的距离和定义分离度,结合隶属度范围及样本分布情况定义结合度量。实验结果表明,所提出的指标能够有效地对聚类结果进行评估,能够准确得出数据中最佳的聚类数目。     

风电机组部件重要度灰色模糊评判方法

风力机工作环境恶劣、工况影响因素复杂导致其故障率较高,因此需要对风力机进行合理的维修决策。对部件重要度等级进行分类,可以辨识出对机组可靠性和维修有重要影响的部件,并依此来制定合理的维修决策。结合传统评价方法,提出了基于灰色模糊的风电机组部件重要度评判方法。该方法构建了包含六个评判因素和三个评判集在内的评价体系,结合三角隶属函数和半梯形隶属函数来确定隶属度。同时,考虑到各评判因素信息获取的不完全性,引入灰度的概念,利用灰色模糊综合评判法对风电机组部件重要度进行评价。将该方法用于某风电场1.5 MW机组齿轮箱的重要度评价,其评价结果符合实际生产情况。该方法可应用于风电机组的其他部件的重要度评价,从而为风电机组维修决策提供依据。     

一个改进的模糊聚类有效性指标

聚类有效性指标既可用来评价聚类结果的有效性,也可以用来确定最佳聚类数。根据模糊聚类的基本特性,提出了一种新的模糊聚类有效性指标。该指标结合了数据集的分布特征和数据隶属度两个重要因素来评价聚类结果,提高了判别的准确性。实验证明,该指标能对模糊聚类结果进行正确的评价,并自动获得最佳聚类数,特别是对类间有交叠的情况能够做出准确判定。     

基于CAN数据的安全驾驶评价的建模与分析

研究中自主搭建车辆CAN数据采集平台,提出以行车安全性为主,辅以乘车舒适度和机动车油耗量共3个指标评价驾驶人的综合素质,其很大程度上反应了驾驶安全,涉及到方向盘转角熵值、方向盘转角速率、机动车速度熵值等7个因素。模型中先用层次分析法建立单因素权重向量,然后建立隶属度函数确定单因素模糊判断矩阵,最后结合最大隶属度原则对模型求解评定驾驶人的综合素质。实践表明,此模型为驾驶安全的评价提供了一个简单有效的数据分析方法。     

一种基于ANP的卷包设备健康状态模糊综合评价方法

鉴于卷包设备健康状态的模糊性,文章提出了一种结合层次网络分析法(ANP)与模糊C均值聚类法(FCM)评价卷包设备健康状态的模糊综合评价方法.该方法利用ANP来确定各评价指标的权重,利用FCM计算各评价指标的隶属度,并合成计算得到最终的评价结果.最后,实例分析验证了评价方法的有效性.     

实用的机器人足球角色分配算法设计

将模糊一致关系应用于机器人足球角色分配,综合比赛现场各方面的因素,分别对这些评价因子建立模糊优先关系矩阵和模糊一致矩阵,然后确定各个评价因子的权值,最后再确定每一备选机器人对应某一角色的隶属度,将这一角色分配给隶属度最高的机器人,从而实现角色分配,仿真实验结果表明了这种设计的可行性.     

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。