论环境建筑设计中的类型学

从当今环境建筑流派纷呈的演替与消退现象 ,引发出对类型学设计方法的思考 ,提出对设计中内在本质的 元 理论进行探讨 ,才能找到环境建筑创造中更具生命力的规律 .     

Design of reliable fiber‐based distribution networks modeled by multi‐objective combinatorial optimization

In this work, we investigate the planning of hybrid fiber/very high bit rate digital subscriber line (HFV) access networks. This HFV variant is considered as an alternative to passive optical access network. It consists of implementing optical fibers in the access network part from the central office to the street cabinets, whereas the very high bit rate digital subscriber line technology is used in the last meter part, from street cabinets to subscribers. Firstly, we discuss the different tasks of this planning problem. We model this planning problem as a multi‐objective optimization problem, where different conflicting objectives have to be optimized at the same time. We consider network costs and network reliability. This problem is solved by two different approaches: the classical single‐objective optimization (SOO) and the multi‐objective optimization (MOO), which is a recent optimization approach that is gaining an increasing interest in practical optimization problems. MOO solves the problem by searching for different optimal trade‐offs between the optimization objectives. The performances of SOO and MOO are analyzed and compared with each other using three network instances. Copyright © 2012 John Wiley & Sons, Ltd.     

Iterative Learning Control Algorithm with a Fixed Step

Iterative Learning Control (ILC) captures interests of many scholars because of its capability of high precision control implement without identifying plant mathematical models, and it is widely applied in control engineering. Presently, most ILC algorithms still follow the original ideas of ARIMOTO, in which the iterative-learning-rate is composed by the control error with its derivative and integral values. This kind of algorithms will result in inevitable problems such as huge computation, big storage capacity for algorithm data, and also weak robust. In order to resolve these problems, an improved iterative learning control algorithm with fixed step is proposed here which breaks the primary thought of ARIMOTO. In this algorithm, the control step is set only according to the value of the control error, which could enormously reduce the computation and storage size demanded, also improve the robust of the algorithm by not using the differential coefficient of the iterative learning error. In this paper, the convergence conditions of this proposed fixed step iterative learning algorithm is theoretically analyzed and testified. Then the algorithm is tested through simulation researches on a time-variant object with randomly set disturbance through calculation of step threshold value, algorithm robustness testing,and evaluation of the relation between convergence speed and step size. Finally the algorithm is validated on a valve-serving-cylinder system of a joint robot with time-variant parameters. Experiment results demonstrate the stability of the algorithm and also the relationship between step value and convergence rate. Both simulation and experiment testify the feasibility and validity of the new algorithm proposed here. And it is worth to noticing that this algorithm is simple but with strong robust after improvements, which provides new ideas to the research of iterative learning control algorithms.     

层次分析法（AHP）在现代商业综合体多目标评价中的运用

商业综合体对整体的平衡性、功能性、互补性具有很高的要求,并需要形成多个建设目标、阶段目标,以及涉及多种学科领域和专业技术。多目标评价与层次分析法（AHP）在一定程度上具有较大的相似性,两者的结构组成原理相似,多目标评价是层次分析法的延伸与拓展,而层次分析法为多目标评价提供了评价量化的计算方法。     

建筑节能和绿色施工监管

随着社会的不断进步,经济的不断发展,建筑市场的发展前景也在不断扩大,而随着各种建筑的不断涌现,建筑施工中也总是伴随着环境的污染,这些污染严重地影响了人们的生活,污染了生活环境,使得我们生活的环境质量逐渐下降,同时也严重影响了人们的健康,因此绿色施工和施工节能问题越来越受到人们的关注。     

岸基导弹远程突防航迹规划模型研究

针对岸基导弹对敌突防过程中可能面临的各类威胁源进行了量化分析,根据各威胁源的性能、特点在三维空间构建了地理障碍威胁、平台障碍威胁、恶劣气象威胁、敌防空火力与电子干扰系统威胁等不同威胁源的威胁概率函数模型,模型函数能连续、完整地表述威胁值的变化状态。在分析影响岸基导弹航迹规划因素的基础上,建立了岸基导弹航迹预规划的目标函数模型,并进行了仿真实验,仿真结果校验了所构建模型的有效性。     

鱼雷射击随机误差分析的几个问题

借助直航鱼雷直迸射击的描述,研究了射击命中问题的随机误差及其相关性的概念,指出了基于目标运动要素观测值或真值计算成功概率的不同.就客观概率情形,基于误差向量函数的1阶近似或2阶近似研究了计算概率的解析方法,以及关于正态随机向量的一般二次函数分布的均值、方差和特征函数计算公式的一个定理,给出了2阶近似情形计算概率的解析方法,数值实验发现,就直航鱼雷直迸射击成功的客观概率而言,两种方法均有较高精度,且1阶近似方法优于2阶近似方法.     

基于灰色物元的变压器多指标绝缘状态评估方法

为准确评估变压器绝缘状态,提出一种基于灰色物元分析法的变压器绝缘状态评估方法。首先,选取变压器的绝缘状态检测量和实际运行状态作为评估指标,建立多指标评估体系;然后,针对指标信息的模糊性,用灰色物元表示评估指标并将其特征值量化,从而能准确地对变压器进行定性和定量评估;同时,考虑到指标之间并不独立,基于物元理论构造关联函数,将多指标评估转化为单目标评估;但指标间相关性将导致信息重复,为解决该问题,将变异系数法和复相关系数法2种客观赋权法组合,根据指标在综合评估中的作用计算权重,该权重反映了各指标的实际状态;最后,应用改进方法计算灰色关联度,确定变压器所处的绝缘老化等级。实例证明该方法合理可行。     

基于相位一致性的结构相似度图像融合质量评价方法

在红外(IR)图像和可见光CCD图像融合效果评价中,结构轮廓对人眼感知的影响非常重要,而相位一致性（PC）模型生成的PC图像很好地在红外(IR)图像和可见光CCD图像融合效果评价中,结构轮廓对人眼感知的影响非常重要,而相位一致性（PC）模型生成的PC图像很好地保留了结构轮廓特征,且不受图像亮度和对比度变化的影响。提出了基于PC的结构相似度（SSIM）图像融合质量评价方法;利用SSIM模型分别产生融合图像相对于IR图像和可见光CCD图像的SSIM图像;根据PC模型产生IR和可见光CCD各自的PC图像;根据人眼对轮廓和非轮廓区域的重视程度的不同,利用各自的PC图像对SSIM图像进行加权; 最终利用信息熵加权得到融合图像的评价指标。实验中,在对实验图像进行主观评价和多种客观评 价指标计算的基础上,首次计算了非线性相关系数和斯皮尔曼等级相关系数(SROCC),最后统计分析实验数据。实验结果表明该方法较以往评价方法具有更好的主客观一致性。