质量交换网络集成的状态空间法

State space approach is an effective method to mass-exchange network (MEN) synthesis. By decomposing the network into two interactive parts, a distribution network and a process operator, the synthesis problem can be formulated into a mixed integer nonlinear programming (MINLP) model. In this article, a generalized state space model based on typical MEN is established and verified in two cases. A new asymmetrical operator and cost index are also adopted to speed up the solution process. The results demonstrate the efficiency of the proposed approach.     

State space approximation for general fractional order dynamic systems

Approximations for general fractional order dynamic systems are of much theoretical and practical interest. In this paper, a new approximate method for fractional order integrator is proposed. The poles of the approximate model are unrelated to the order of integrator. This feature shows benefits on extending the algorithm to the systems containing various fractional orders. Then a unified approximate method is derived for general fractional order linear or nonlinear dynamic systems via combining the proposed new method with the distributed frequency model approach. Numerical examples are given to show the wide applicability of our method and to illustrate the acceptable accuracy for approximations as well.     

Ensemble clustering by means of clustering embedding in vector spaces

Ensemble clustering is a recently evolving research direction in cluster analysis and has found several different application domains. In this work the complex ensemble clustering problem is reduced to the well-known Euclidean median problem by clustering embedding in vector spaces. The Euclidean median problem is solved by the Weiszfeld algorithm and an inverse transformation maps the Euclidean median back into the clustering domain. In the experiment study different evaluation strategies are considered. The proposed embedding strategy is compared to several state-of-art ensemble clustering algorithms and demonstrates superior performance.     

Pb(Mg_(1+x)/3Nb_(2-x)/3)O_3铁电材料中有序-无序相变的理论研究

基于Kikuchi自洽迭代方法,利用有序-无序相变理论,并取最近邻相互作用近似,研究了Pb(Mg_((1+x)/2)Nb_((2-x)/2)O_3晶粒中在x=0.5时有序区形成的原因,提出Mg~(2+)∶Nb~(5+)=1∶1(离子数比)时,形成B位有序排列最为有利,并且弱的空间电荷场不影响这种有序排列的形成,同时给出了温度-组份的有序-无序相图。     

Deformation similarity measurement in quasi-conformal shape space

This paper presents a novel approach based on the shape space concept to classify deformations of 3D models. A new quasi-conformal metric is introduced which measures the curvature changes at each vertex of each pose during the deformation. The shapes with similar deformation patterns follow a similar deformation curve in shape space. Energy functional of the deformation curve is minimized to calculate the geodesic curve connecting two shapes on the shape space manifold. The geodesic distance illustrates the similarity between two shapes, which is used to compute the similarity between the deformations. We applied our method to classify the left ventricle deformations of myopathic and control subjects, and the sensitivity and specificity of our method were 88.8% and 85.7%, which are higher than other methods based on the left ventricle cavity, which shows our method can quantify the similarity and disparity of the left ventricle motion well.     

数字化时代的数字艺术空间

从办公、娱乐和统计到信息采集、保存和传递,现代生活就是与数字技术结合的数字生活。数字艺术也不例外。数字化时代的数字艺术空间主要通过数字技术对传统艺术的仿真复制和数字媒体艺术的创作来实现数字艺术虚拟世界的完成。文章将通过对数字艺术虚拟世界里的数字空间形态特征的描述,以初步探讨数字化时代的数字艺术存在模式。     

基于环保的广告机概念设计

广告机这一产品通过视频、音频的形式向公众传达信息,其主要使用环境为公共场合。在广告机概念设计上。不仅注重外观的时尚和简洁,有时为了向人们传达环保的理念,特别在广告机面板下方的广告单领取口镂空丝印一个树和海洋图标。当人们领取广告单时,广告单数量减少．图标会逐渐的产生变化。通过这种图标的变化来警示人们环保的重要性。     

基于Java 3D的地球空间环境可视化研究

根据空间科学研究对交互性和Web化的发展需求,将Java 3D应用于该领域。深入剖析了Java 3D的主要几何类和实现细节;改进并实现了一种矩形网格等值线生成算法,解决了二义性和等值点在网格顶点的问题;介绍了一种生成规则网格的简单算法,并选用合适的Java 3D类加以实现;介绍了一种数值———颜色映射算法,并将空间环境数据映射为RGB颜色信息。综合运用这些算法,对地球空间环境中若干物理要素模型进行了二维和三维可视化。可视化结果与国内外空间环境模型研究成果基本一致,说明上述算法正确,有较高的参考价值。     

PROJECTION MODULUS: A NEW DIRECTION FOR SELECTING SUBSET AUTOREGRESSIVE MODELS

Selecting a parsimonious subset autoregressive time series model is a valuable objective particularly where there is or may be evidence that a time series may have some form of periodic or quasi-periodic behaviour. An efficient model selection procedure is essential because of the large number of possible alternative models involved. The explanation of an increase in residual variance due to excluding a lag is examined in Hilbert space. As a result, a new statistic, the projection modulus , and its derivatives are developed to assess the significance of any lag in a model. The impact of deleting a lag, as measured by these statistics, helps to produce a selection procedure where true lags have less chance of being removed. We then assess an efficient subset autoregressive model selection procedure employing these statistics. The success of the proposed procedure is illustrated by its efficiency in identifying the true model for simulated and real data.