控制和管理一体化的DCS系统

阐述工业控制和管理一体化ＤＣＳ系统的重要性，介绍了一种网桥，将２＋控制网和ＮＯＶＥＬＬ网连网，并给出了具体的系统图和接口电路图。     

产业集群企业人群行为的博弈分析

产业集群的形成和成长是集群外企业不断人群的过程，企业人群的行为是一种博弈决策。文中运用博弈理论、期望理论和效用理论的基本原理，以效用期望投资收益为依据，构建出企业人群的两类博弈模型：基于期望投资收益和具有偏好性的企业人群博弈模型，推导出企业人群的集群临界欢迎概率函数。描述了集群市场对企业人群行为欢迎概率的影响因素、构成模型和变化趋势。指出企业人群的偏好性对产业集群欢迎程度的具有很大的弹性。     

一种改进的基于密度和网格的高维聚类算法

提出了一种改进的基于密度和网格的高维聚类算法,并对算法有效性进行了验证.该算法通过减少样本点数量的方法达到减少稠密子空间数量.在发现高维稠密子空间时,对样本库进行精简.这些样本点的求得能有效减少求解最小聚类的时间复杂度.     

基于轮廓线特征的三维人脸识别改进算法

研究基于面部轮廓曲线特征的三维人脸识别。为提取最优面部曲线特征,提出一种基于模糊聚类方法的人脸曲线特征优选算法。该算法从三维人脸深度图中选取最具代表性的8条轮廓曲线,作为主要识别特征,这在很大程度上降低了计算复杂度,克服表情和光照对人脸识别的消极影响,同时它用最少的轮廓线包含了所需要的人脸识别信息。基于这些人脸轮廓线特征,利用改进的Manhattan距离分类器来提高人脸识别的分类效果。实验结果表明,所提出的算法明显提高了人脸识别率,并且具有很强的鲁棒性。     

基于模糊聚类分析的船体分段类型分类方法和应用研究

为提高现阶段船体分段制造过程的标准化水平,实现分段装配工序和工时的标准化,推动船体分段制造数字化发展,本文以船体分段作为分类成组的研究对象,应用模糊聚类分析方法,建立了模糊聚类分析模型,通过输入分段工艺生产数据信息,实现了对船体分段的定量化分类,验证结果表明,应用模糊聚类分析形成的分段族类符合实际工艺需求。     

基于多源轨迹数据的城市交通状态精细划分与识别

针对基于路段的城市交通状态分析方法的不足，本文利用公交车和出租车轨迹数据提出了城市交通状态精细划分和识别方法，实现城市交通状态分析.对两种轨迹点的速度值和空间位置值分别进行归一化处理，以此为属性数据，通过迭代计算轮廓系数确定k 值完成轨迹点聚类，结合二次处理方法对类簇进行拆分和融合以划分道路交通状态；在特征级建立多源数据融合方法，实现交通状态速度值计算；以归一化后的速度值为属性数据，通过聚类将样本分为4类对应4种城市交通流状态层级.实验表明，本文方法能够实现道路交通状态精细划分，能有效地识别出道路局部位置的交通状态，进而可为城市道路交通管理提供决策支持.     

国内外船舶通用基础机电产品产业发展特点

本文围绕泵、阀、轴承、密封件、紧固件等五大类船舶通用基础机电产品,对其产业发展现状进行分析研究,总结国内外船舶通用基础机电产品产业发展特点,提出未来产业发展建议,为国内产品自主创新与产业升级提供参考。     

Situation analysis forecasting: the case of European maritime clusters

Within the literature concerned with aspects of competitiveness, innovation and strategic management of industrial clusters, the body regarding forecasting of strategic management is still nascent. This work aspires to render a contribution within the domain of strategic management forecasting, through the indicative case of European maritime clusters. For this end, a two-tier model is formulated. A quantitative strengths, weaknesses, opportunities, and threats (SWOT) methodology that derives from the fusion of a quondam situation analysis and crosstabs’ theory is generated. This leads to the utilization of the crosstab’s conditional probabilities as transition probabilities; the latter are called to compile the transition matrix of a Markov chain. Through this methodology, and the successive Markov chain’s transition matrices, strategic forecasts are extracted for a devised European maritime cluster case. This work relinquishes a novel application with respect to strategic management forecasting, that provides a dichotomy of practical interpretations and scenarios for quantitative situation analysis. Thus, it may enable effective real-time decision-making for strategic management and/or policy drafting. The situation analysis forecasting model may find applicability in a plethora of practical and theoretical cases, wherein forecasting may be desirable. It may as well pertain to an intrinsic methodology for situation analysis forecasting of maritime clusters.     

带型城市空间形态界定及其干线道路特征

特殊的空间形态、稀缺的贯通性轴向道路资源以及高度混合的内外交通导致带型城市面临独特的交通问题。从城市空间形态角度出发,采用聚类分析法分析中国657个设市城市,据此界定带型城市为建成区长宽比大于3的城市。并对带型城市(组团)的交通需求、路网布局、道路级配进行梳理,发现带型城市贯穿性长轴干线道路的数量、等级、分布对带型城市规模、形态以及交通组织具有重要作用,是带型城市路网规划的核心。最后,提出带型城市常用的三轴干线路网布局模式及相应的道路等级,可作为带型城市路网规划的参考依据。     

Development and evaluation of a statistically reliable traffic counting program

This paper reviews the existing procedures to compute the seasonal factors, growth factors, and the number of automatic traffic recorder stations (ATRs) for developing a statistically reliable traffic counting program. The review is based on, (i) theoretical evaluation of the procedures, (ii) analysis of the results obtained from applying these procedures to extensive real life data, and (iii) experience of past researchers with these methods. The paper primarily deals with existing statistical procedures for determining seasonal factors, since it is believed that these factors play the most important role in estimating Annual Average Daily Traffic (AADTs) from short counts. The procedure of cluster analysis (which is most commonly used to determine seasonal factors) is critically reviewed. The shortcomings of this method motivated the development of a different statistical procedure, based on regression analysis, to determine seasonal factors. It is shown that this newly developed method gives better results than the cluster analysis techniques. Furthermore, separate sections are dedicated to a thorough analysis of determination of number of ATR stations and computation of growth factors.