高水头弧形闸门伸缩式水封的黏弹性仿真计算方法

认为止水材料的蠕变和应力松弛是由于材料参数的变化而引起的，把描述橡胶类材料应变能密度函数中的物理参数假设成与时间有关的黏弹性函数。在此基础上改进材料应力张量与应变张量的关系式，得到了改进的Mooney-Rivlin公式，给出了一种考虑止水材料黏弹性性质的伸缩式水封仿真计算方法。分析得出，止水材料由于受周边结构的限制，材料黏弹性阶段除顶点垂直位移不变，关键结点的其它位移并没有因材料的蠕变而显著变化，材料的蠕变有提高封头顶点接触应力的趋势，不会降低水封的水密性。通过工程实例，给出了140m水头下、封头与面板间隙控制在30mm内的可行并较优的伸缩式水封的断面。     

Data decomposition using independent component analysis with prior constraints

In many data analysis problems, it is useful to consider the data as generated from a set of unknown (latent) generators or sources. The observations we make of a system are then taken to be related to these sources through some unknown function. Furthermore, the (unknown) number of underlying latent sources may be less than the number of observations. Recent developments in independent component analysis (ICA) have shown that, in the case where the unknown function linking sources to observations is linear, such data decomposition may be achieved in a mathematically elegant manner. In this paper, we extend the general ICA paradigm to include a very flexible source model, prior constraints and conditioning on sets of intermediate variables so that ICA forms one part of a hierarchical system. We show that such an approach allows for efficient discovery of hidden representation in data and for unsupervised data partitioning.     

新型引线热浸镀锡合金的研究

分析比较了进口锡与国产锡的成分和性能。设计出了新型的引线热浸镀锡合金，它具有较低的工作温度、优良的抗氧化性、流动性和可焊性。     

一种新型图形描述算法

本文提出一种新型的图形描述算法，该算法以各种规则图形作为图形的最小处理单位。利用本算法构造的图形管理系统可广泛用于环境实时监控、采样数据动态显示等领域     

On the algebraic formulation of certain geometry statements and mechanical geometry theorem proving

In this paper we analyze the algebraic formulations of certain geometry statements appearing in recent literature related to mechanical geometry theorem proving and give several examples to show that one of these formulations can cause serious problems. We clarify a formulation which is essentially due to W. T. Wu and, in our opinion, is the most satisfactory.This author was supported by NSF Grants DCR-8503498 and CCR-8702108.     

一种适合于同杆4回线的故障测距方法

在对同杆4回线解耦的基础上，提出了一种适合于同杆4回线的故障测距方法。同杆4回线内部发生故障时，可以将故障分量分解为12序分量，且利用该12序分量进行故障测距。考虑到在任何故障类型下，同杆4回线内部都会存在反序分量，所以提出了基于反序环流分量的故障测距方法。当同杆4回线内部发生故障时，从线路两端计算到故障点的反序环流分量电压相等，利用该关系可以求出故障点的精确位置。由于相互独立的12序分量完全能够解决线间耦合问题，文中提出的测距算法能够精确测距，测距精度不受故障类型影响。大量ATP仿真结果表明所提出的测距算法完全适用于同杆4回线的故障测距，测距精度不受过渡电阻、系统运行方式、线路两端功角的影响。     

零部件通用对企业竞争战略的影响

零部件通用是目前研究的一个热点问题,但是绝大多数文章都是针对零部件通用对库存水平的影响。本文从战略的角度,分析了零部件通用对企业竞争战略的影响,发现它不仅对降低费用有着积极的影响,而且对缩短新产品开发周期、制造过程重组等方面也有着积极的作用。因此,零部件的通用性已经从战术上的节约费用上升为战略上的竞争武器。     

ALGORITHMIC SYNTHESIS OF GENERAL NON-SHARP SIMPLE DISTILLATION COLUMN SEQUENCES

An algorithmic approach was used to select recoveries for non-sharp sequence designs. Simple distillation columns were employed. The non-key component distribution was modeled using the Fenske equation. The combination of producing impure products and allowing non-key component distribution, results in a large search space. With this large search space size and software limitations, five problems were solved (see summary table in the Design Examples sub-section). The optimal non-key component distribution was found to be significant but not necessarily maximal. Parallel processing was selected as optimal in contrast to the more traditional sequential processing.     

On principal component analysis, cosine and Euclidean measures in information retrieval

Clustering groups document objects represented as vectors. An extensive vector space may cause obstacles to applying these methods. Therefore, the vector space was reduced with principal component analysis (PCA). The conventional cosine measure is not the only choice with PCA, which involves the mean-correction of data. Since mean-correction changes the location of the origin, the angles between the document vectors also change. To avoid this, we used a connection between the cosine measure and the Euclidean distance in association with PCA, and grounded searching on the latter. We applied the single and complete linkage and Ward clustering to Finnish documents utilizing their relevance assessment as a new feature. After the normalization of the data PCA was run and relevant documents were clustered.     

3D model retrieval using principal plane analysis and dynamic programming

Three dimensional models play an important role in many applications; the problem is how to select the appropriate models from a 3D database rapidly and accurately. In recent years, a variety of shape representations, statistical methods, and geometric algorithms have been proposed for matching 3D shapes or models. In this paper, we propose a 3D shape representation scheme based on a combination of principal plane analysis and dynamic programming. The proposed 3D shape representation scheme consists of three steps. First, a 3D model is transformed into a 2D image by projecting the vertices of the model onto its principal plane. Second, the convex hall of the 2D shape of the model is further segmented into multiple disjoint triangles using dynamic programming. Finally, for each triangle, a projection score histogram and moments are extracted as the feature vectors for similarity searching. Experimental results showed the robustness of the proposed scheme, which resists translation, rotation, scaling, noise, and destructive attacks. The proposed 3D model retrieval method performs fairly well in retrieving models having similar characteristics from a database of 3D models.