一种用热像仪获得烟幕透过率的方法

提出了一种用热像仪测试烟幕透过率的方法。经详细分析烟幕遮蔽前后热像仪探测器接收到的红外辐射情况，并经理论推导得出：不考虑烟幕释放对环境辐射和大气辐射的影响时，只需用热像仪对同一场景拍摄其烟幕释放前后的图像，利用这两幅图像的灰度信息即可获得烟幕的透过率，并且，只要场景选择合适，应用该方法可以测得烟幕的透过率分布。论文最后讨论了减小透过率计算误差的方法和获得烟幕透过率分布的技术途径。     

Damage Development in Gray Cast Iron under Static Deformation

The authors discuss the results of experimental investigation of structural degradation of gray cast iron at various stages of static tensile deformation. Analysis of the deformation process has revealed that damageability of a material under loading can be assessed by both a special strain parameter and scatter of hardness characteristics or a ratio of the modulus deviation to the current value of the elastic modulus. A correlation between these parameters has been established.     

Prediction Model for BTA Deep-Hole Machining using Fuzzy Clustering Approach: Experimental Study

In this article, a subtractive clustering-based fuzzy identification method and a Sugeno-type fuzzy inference system are used for modeling in metal cutting. This approach is considered with its application on the experimental study of Boring and Trepanning Association (BTA) deep-hole drilling. The model for the surface roughness is identified by using the cutting speed and feed as input data and roughness as the output data. Using subtractive clustering in both input and output spaces performs the model-building process. Minimum error model is obtained through enumerative search of clustering parameters. The fuzzy model obtained is capable of predicting the surface roughness for a given set of inputs (speed and feed). Therefore, the operator can predict the quality of the surface for a given set of working parameters and will then be able to set the machining parameters to achieve a certain surface quality. The fuzzy model is verified experimentally by further experimentation using different sets of inputs. The tool life is also investigated using the same approach. The fuzzy inference system obtained is capable of predicting the tool life for a given set of cutting parameters. Therefore, the operator will be able to predict how many minutes the cutting tool is going to last and will set the time for the next tool change.     

岩石抗剪参数的随机-模糊处理方法在边坡稳定性评价中的应用

结合西南某水电站工程岩石抗剪试验资料，详细、系统地介绍了岩石抗剪参数的随机—模糊处理方法，并编写了相应的处理程序，通过大量计算及对计算结果的灰色关联分析证明应用随机—模糊方法处理岩石抗剪参数样本位比传统方法更符合实际。     

一种T-S型动态模糊推理模型的建模算法研究

以一种进化聚类算法（ECM）为基础,提出了一种新的T-S型动态模糊推理模型的建模算法.以往许多神经模糊模型都不适用于自适应在线学习,而文章模型能够实时地调整模糊规则库及规则参数,具有较强的在线学习能力.仿真结果表明,该方法是有效的.     

灰色关联分析法在油气管道半定量风险评价中的应用

肯特(W．kent Muhlbauer)管道风险评价法是一种半定量风险评价法,但是该方法在我国还处在起步阶段,其理论基础和应用技术都很不完善。为了有效处理评分中存在的主观性和不确定性因素,已经把模糊综合评判法引入到管道风险评价中。但是,传统的相对风险值计算还不够准确,为此介绍了灰色关联分析在油气管道半定量风险评价中的应用。通过对影响管道风险的评价指标(因素)体系的综合分析,确定了灰色综合评价的层次结构模型。构建了由第三方破坏指数、腐蚀指数、设计指数、错误指数、介质危险指数5大指标体系构成的管道系统风险综合评价指标体系,并采用层次分析与专家打分相结合的方法计算权重。在油气管道半定量风险评价中应用灰色关联分析法,可以使评价结果更准确。     

灰度图像的子块压缩方法

从灰度图像的局部几何特性出发，把图像中像素灰度相近或相同的区域当作一个整体处理，从而达到图像压缩的目的。计算机仿真实验表明，该方法可以获得产高的压缩比和峰值信噪比，有效地消除方块效应，很好地保持目标细节，具有较高的实用价值。     

有序聚类法在锦凌水库风化岩体定量分带中的应用

应用有序聚类法对辽宁省锦凌水库坝基的风化岩体进行定量分带,所得结果与地质观察方法、规范法等所得出的结果进行了分析比较.采用岩体风化差异系数法进行综合分析,最终推荐按照有序聚类方法进行风化岩体分带.     

基于聚类算法实现信号盲分类

本文解决了信号处理、工业控制等领域存在的非平稳信号盲分类问题。在聚类中广泛应用的K-Means算法及其它基于中心的聚类算法有两个共同的缺陷-需要预先确定类数目且随机初始化中心引起性能不稳定。本文提出的算法较好地解决了这两个问题，提高了算法稳定性，实现了非平稳信号盲分类。提取非平稳信号的小波系数作为聚类的样本空间，分析聚类结果的统计偏差以估计类的数目，采用调和均值准则进行分类。最后给出的仿真结果表明本文提出的方法较传统的K-Means算法明显降低分类错误率。     

A fuzzy clustering algorithm enhancing local model interpretability

In this work, simple modifications on the cost index of particular local-model fuzzy clustering algorithms are proposed in order to improve the readability of the resulting models. The final goal is simultaneously providing local linear models (reasonably close to the plant’s Jacobian) and clustering in the input space so that desirable characteristics (regarding final model accuracy, and convexity and smoothness of the cluster membership functions) are improved with respect to other proposals in literature. Some examples illustrate the proposed approach.