输气干线单个分输站站址最优化研究

输气干线分输站站址规划设计合理与否，直接影响到分输站至各城市门站之间输气管线总投资和未来管网系统的发展。为此,着重讨论并建立了以分输站站址、各城市门站与分输站之间管道直径、壁厚、分输站压力为设计变量，以各城市门站与分输站之间管道投资最小为目标函数的分输站站址优化数学模型。根据模型特点，采用混合离散变量复合形法与数据库技术相结合来求解分输站站址。以此站址为参考点，结合现场勘察，在参考点附近沿输气干线预选多个分输站站址，并对影响分输站建设和管理的环境因素用多目标模糊评价方法进行综合评价，以评价效果好的站址为最优分输站站址。用算例说明了分输站站址优化结果不仅与工艺参数变化有关，且与分输站所处环境因素有关。提出还应深入研究输气干线中具有多个分输站的站址优化问题。     

天楼地枕水电站的综合自动化改造

天楼地枕水电公司为实现水电站"无人值班,少人值守"的目标,对水电站进行了综合自动化改造,论述了该自动化系统的结构特点及实施情况.     

A genetic‐based neuro‐fuzzy controller for blind equalization of time‐varying channels

This paper presents a neuro‐fuzzy network (NFN) where all its parameters can be tuned simultaneously using genetic algorithms (GAs). The approach combines the merits of fuzzy logic theory, neural networks and GAs. The proposed NFN does not require a priori knowledge about the system and eliminates the need for complicated design steps such as manual tuning of input–output membership functions, and selection of fuzzy rule base. Although, only conventional GAs have been used, convergence results are very encouraging. A well‐known numerical example derived from literature is used to evaluate and compare the performance of the network with other equalizing approaches. Simulation results show that the proposed neuro‐fuzzy controller, all parameters of which have been tuned simultaneously using GAs, offers advantages over existing equalizers and has improved performance. From the perspective of application and implementation, this paper is very interesting as it provides a new method for performing blind equalization. The main contribution of this paper is the use of learning algorithms to train a feed‐forward neural network for M‐ary QAM and PSK signals. This paper also provides a platform for researchers of the area for further development. Copyright © 2008 John Wiley & Sons, Ltd.     

微波干燥原理及其应用

介绍了微波干燥的原理和主要特点及其应用的现状,并且给出了微波干燥经济核算的计算方法。     

Necessary optimality conditions in a nonsmooth control problem with variable structure

An optimal control problem with nonsmooth performance criterion described by a system of ordinary differential equations is considered. Necessary first-order optimality conditions are obtained.     

Data mining of resilience indicators

In recent years, the Asia-Pacific region has experienced several financial setbacks, including speculative attacks in 1998 and the SARS outbreak in 2003. Financial stresses of this nature are unanticipated, and not all of the dangers can be predicted by the examination of market information and macroeconomic indicators. The Early Warning System (EWS) that has been adopted by the International Monetary Fund may not be able to predict future financial crises for all possible scenarios, because shocks come in many different forms. To supplement the EWS, this paper proposes a data mining framework to measure the resilience of an economy. The resilience framework does not predict a crisis, but rather assesses the current state of health of an economy and its ability to withstand a financial shock should one occur. The framework is based on a feedback system consisting of two stages. The first stage assigns a resilience score to each economy based on a fuzzy logic scoring scheme that is built on the ambiguous reasoning of experts. The second stage uses the classification tree approach to estimate thresholds for each economic indicator, and examines the quality of the fuzzy score. The result from the second stage is then passed back to the first stage as feedback. The final result is obtained when the feedback system reaches its equilibrium state. The proposed resilience framework is applied to the external-sector and the public-sector economies of several countries to illustrate its applicability.     

Neural components of social evaluation.

Evaluative responses appear to involve 2 seemingly distinct sets of processes: those that are automatically activated and others that are more consciously controlled. Using functional magnetic resonance imaging, the authors investigated the brain systems associated with automatic and controlled evaluative processing. Participants made either evaluative (good-bad) or nonevaluative (past-present) judgments about famous names. Greater amygdala activity was observed for names rated as "bad" relative to those rated as "good," regardless of whether the task directly involved an evaluative judgment (good-bad) or not (past-present). Good-bad judgments resulted in greater medial and ventrolateral prefrontal cortex (PFC) activity than past-present judgments. Furthermore, there was greater ventrolateral PFC activity in good-bad judgments marked by greater ambivalence. Together, these findings indicate a neural distinction between processes engaged for automatic and controlled evaluation. Whereas automatic processes are sensitive to simple valence, controlled processes are sensitive to attitudinal complexity. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Palogue油田复合油藏动态响应及特征描述

以简单的复合油藏模型理论和方法为基础,以Palogue油田的实际测试井为例,介绍了复合油藏模型的试井动态识别与模型拟合,及与地质静态资料相结合的油藏综合描述过程.该描述方法将会对实际试井解释和油藏综合描述工作有所借鉴和帮助.     

鄂尔多斯盆地姬塬-堡子湾地区长4+5油层成岩作用与储层评价

利用岩石铸体薄片鉴定、X射线衍射分析、扫描电镜分析等测试手段，对鄂尔多斯盆地姬塬一堡子湾地区延长组长4＋5油层储集岩的岩石学特征、成岩作用和物性特征进行了分析。结果表明，该储集岩为细粒的长石砂岩和岩屑长石砂岩，颗粒呈次棱角状，成分成熟度普遍较低，结构成熟度中等一较好；经历了压实、胶结、压溶和溶解等一系列成岩作用；储集岩具有低孔、低渗的特点。在以上研究基础上，结合压汞分析、孔隙组合分析，对储层进行综合评价认为，长4＋5储层可分为4类，研究区以Ⅱ、Ⅲ类（中等一差）储层为主。     

高速供送螺杆动态性能评价体系的建构

随着设备高速化的日益发展，传统的螺杆设计方法及相应的供送特性评价体系已显落后。参照蜗型凸轮动力学性能的评价方法，建立了高速供送螺杆的动态性能评价体系，为高速化供送螺杆的设计提供了性能参照指标。