船舶柴油机废热回收系统热经济性优化

以PA6柴油机为主机对5种不同的船舶废热回收系统分别以热经济性指标和锅炉最小传热_面:积作为目标函数,针对3种不同管形和2种不同管子排列形式的锅炉结构进行了热力学参数及锅炉结构参数优化,并且对5种废热回收系统进行了比较,分析了各个系统的优缺点.     

Two-dimensional density estimation using smooth invertible transformations

We investigate the problem of estimating a smooth invertible transformation f when observing independent samples X₁,…,X_n∼P°f where P is a known measure. We focus on the two-dimensional case where P and f are defined on R². We present a flexible class of smooth invertible transformations in two dimensions with variational equations for optimizing over the classes, then study the problem of estimating the transformation f by penalized maximum likelihood estimation. We apply our methodology to the case when P°f has a density with respect to Lebesgue measure on R² and demonstrate improvements over kernel density estimation on three examples.     

法院民事调解在和谐社会构建中的功能

司法的目的是要形成和谐秩序,并非对抗态势。调解之所以受到关注和重视,关键是它在解决社会纠纷中发挥着特殊的功能。民事诉讼调解制度是和谐主义模式的诉讼机制中重要组成部分,是促进社会纠纷和谐解决的重要方式。     

浅谈企业知识型员工激励效果的优化

从知识型员工激励效果不佳的现状入手,分析了影响激励效果的因素,提出了知识型员工激励效果优化的流程和相关措施,以期帮助企业针对现有的激励机制查找激励效果不佳的原因,对症下药,收到事半功倍的效果。     

地方政府竞争与区域对外开放——基于我国省级面板数据的实证研究

本文将政府与空间两重维度进行结合,从地方政府竞争的视角来分析区域对外开放问题.对地方政府进行适当的分类,分为独立型、合谋型与互助型的地方政府,尝试性地将地方政府竞争行为从纵向竞争和横向竞争扩展到时期竞争,同时以省级面板数据为基础进行实证分析,解释地方政府竞争对区域对外开放进程产生的不同效应.实证结果表明,税收优惠对区域对外开放的整体效果已经减弱.多数经济发达的地区已经不再把税收优惠作为主要的经济竞争手段,而转向改善地方公共物品的供给竞争.但在硬件和软件公共物品之间,地方政府更倾向于硬件基础设施投资,这也引发了政府对软件供给物品的供给不足.此外,制度优化竞争涉及到的产权保护、法律制度和中介组织发育等一系列制度环境因素,也会对区域的对外开放产生重要的影响意义.     

农业结构优化对土地生产率和农业增长的影响

采用土地生产率分解法,将农业增长的决定因素分解为导致土地生产率增长的非结构优化因素和结构优化因素,利用中国1979-2006年土地生产率的数据,分别估算其对农业增长的贡献,并进一步分析影响农业结构优化对农业增长贡献相关因素,发现农户对农产品价格预期的准确性对其影响最为显著。     

Sample reuse simulation in optimal design for Tmax in pharmacokinetic experiments

T _max and C _max are important pharmacokinetic parameters in drug development processes. Often a nonparametric procedure is needed to estimate them when model independence is required. This paper proposes a simulation-based optimal design procedure for finding optimal sampling times for nonparametric estimates of T _max and C _max for each subject, assuming that the drug concentration follows a non-linear mixed model. The main difficulty of using standard optimal design procedures is that the property of the nonparametric estimate is very complicated. This procedure uses a sample reuse simulation to calculate the design criterion, which is an integral of multiple dimension, so that effective optimization procedures such as Newton-type procedures can be used directly to find optimal designs. This procedure is used to construct optimal designs for an open one-compartment model. An approximation based on the Taylor expansion is also derived and showed results that were consistent with those based on the sample reuse simulation.     

分光光度法测定多元酸离解常数的优化计算法

本文讨论了依据优化计算原理用分光光度数据计算多元酸离解常数的优化方法和计算机程序,用编制的计算机程序计算了多种多元酸的离解常数,所得结果与文献值相符。     

An Extended Sequential Imperfect Preventive Maintenance Model with Improvement Factors

This article presents a generalization of the imperfect sequential preventive maintenance (PM) policy with minimal repair. As failures occur, the system experiences one of two types of failures: a Type-I failure (minor), rectified by a minimal repair; or a Type-II failure (catastrophic) that calls for an unplanned maintenance. In each maintenance period, the system is maintained following the occurrence of a Type-II failure or at age, whichever takes place first. At the Nth maintenance, the system is replaced rather than maintained. The imperfect PM model adopted in this study incorporates with improvement factors in the hazard-rate function. Taking age-dependent minimal repair costs into consideration, the objective consists of finding the optimal PM and replacement schedule that minimize the expected cost per unit time over an infinite time-horizon.     

Macroeconomic Forecasting Using Pooled International Data

The genetic algorithm is examined as a method for solving optimization problems in econometric estimation. It does not restrict either the form or regularity of the objective function, allows a reasonably large parameter space, and does not rely on a point-to-point search. The performance is evaluated through two sets of experiments on standard test problems as well as econometric problems from the literature. First, alternative genetic algorithms that vary over mutation and crossover rates, population sizes, and other features are contrasted. Second, the genetic algorithm is compared to Nelder–Mead simplex, simulated annealing, adaptive random search, and MSCORE.