A Histogram Matching Approach for assessment of flow regime alteration: application to environmental flow optimization

In this paper we present a Histogram Matching Approach (HMA) for assessment of the flow regime alteration. The HMA uses the degree of histogram dissimilarity as a metric for impact assessment, which is based on the quadratic‐form distance between the frequency vectors of the pre‐ and post‐impact histograms weighted by a specified similarity matrix. The HMA is coupled with an aggregated multiobjective optimization genetic algorithm and applied to a case study on the Kaoping diversion weir (Taiwan) for determining the optimal environmental flow scheme that balances the ecosystem and human needs objectives. Two key issues are addressed in this study. First, we compare the performances of the HMA and existing Range of Variability Approach (RVA). Second, we employ three types of similarity function to investigate their effect on the outcomes of the HMA. The results reveal that the HMA consistently outperforms the RVA in preserving the natural flow variability regardless of what type of similarity function is used. No single type of similarity function can be found that would simultaneously best preserve the natural patterns of 32 Indicators of Hydrologic Alteration (IHA). For the situations where the water‐supply reliability is of critical concern, the pulse similarity is recommended because it would assure the smallest water‐supply deficit. If, however, minor degradation in the water‐supply reliability may be overlooked, the linear similarity is suggested because it would generally result in the post‐impact flows that most satisfactorily resemble to the natural flow regime. Copyright © 2008 John Wiley & Sons, Ltd.     

软件质量度量技术浅谈

软件质量度量技术从过去的模糊、深奥已经发展为好的软件工程的核心技术。介绍了软件度量的历史、解释了软件度量的基本概念、并按产品、过程、资源进行度量分类,最后给出了软件质量度量一般过程。     

Convergence of an Ishikawa type iterative scheme for asymptotically quasi-nonexpansive mappings

In convex metric spaces, the Ishikawa iteration process and the Ishikawa iteration process with errors is defined for asymptotically quasi-nonexpansive mappings. It is proved some sufficient and necessary conditions for the iterative scheme converges to the fixed point of the asymptotically quasi-nonexpansive mappings. These results generalize and unify many important known results in recent literature.     

实测数据的降秩空时自适应处理方法

本文介绍了两种在广义旁瓣相消器结构上的降秩空时自适应处理方法:主分量法和互谱法,这两种方法是利用杂波和干扰的低秩属性,应用采样数据来构造降维转换矩阵。最后对MountainTop计划进行了详细的描述,并对从MountainTop计划测得的数据,应用上述两种降秩方法对其进行了分析。仿真实验表明了这两种方法的可行性,减少了计算量,并提高了有效可测收敛性。     

Stability assessment for cautious iterative controller tuning

This document presents new mechanisms for stability assessment in iterative controller tuning. Contrary to the usual approach adopted in robust model identification, the new mechanisms do not rely on plant models, but utilize information from the current closed-loop system to test if a newly designed controller will maintain loop stability. All controllers that satisfy the test are guaranteed to stabilize the actual plant.     

乙二胺四乙酸络合滴定法连续快速测定高品位矿样中的铅锌

用乙二胺四乙酸络合滴定法测定铅时,需要将铅沉淀成PbSO4与其他元素分离,分析手续繁琐、耗时.采用不经分离而加多种掩蔽剂的办法消除干扰,在一份溶液中连续测铅和锌,该方法简单快速,适合铅样品的野外现场测定.     

CMDC:an iterative algorithm for complementary multi-view document clustering

In response to the problems traditional multi-view document clustering methods separate the multi-view document representation from the clustering process and ignore the complementary characteristics of multi-view document clustering,an iterative algorithm for complementary multi-view document clustering——CMDC was proposed,in which the multi-view document clustering process and the multi-view feature adjustment were conducted in a mutually unified manner.In CMDC algorithm,complementary text documents were selected from the clustering results to aid adjusting the contribution of view features via learning a local measurement metric of each document view.The complementary text document of the results among the dimensionality clusters was selected by CMDC,and used to promote the feature tuning of the clusters.The partition consistency of the multi-dimensional document clustering was solved by the measure consistency of the dimensions.Experimental results show that CMDC effectively improves multi-dimensional clustering performance.     

Error measurements for flank milling

This paper presents and compares methods of error metrics used to measure the error for the flank milling of a machined ruled surface. The aim of this work is to propose a new scheme for error approximation that is easy to implement and gives better error assessment when using optimization techniques to determine tool position. We propose using the error calculation as an approximation to the distance from the desired surface along the direction of the surface normal.     

ROBUSTNESS OF OPTIMALLY ROBUST CONTROLLERS——Dedicated to the Sixtieth Birthday of Prof. You Zhao-yong

The largest robust stability radius r(P0) of a system P0 is defined as the radius of the largest ball Bmax in the gap metric centered at P0 which can be stabilized by one single controller. Any controller which stabilizes Bmax is called an optimally robust controller of P0. Any controller, regarded as a system, should have its own largest robust stability radius also. In this paper it is shown that the largest robust stability radius of any optimally robust controller of P0 is larger than or equal to r(Po). Moreover, the variation of the closed-loop transfer matrix caused by the perturbation of the system is estimated.     

模块内聚性的度量方法

本文依据Ｗｅｉｓｅｒ分片方法和控制流图的分解，得到以图元为元素的程序片（图片），由此得出判别低内聚模块的规则。在定义了粘图元及超粘图元以后给出了ＳＦＣ，ＷＦＣ，Ａ三种内聚度量。