一种基于睾丸素分泌调节原理的双层结构控制器

基于下丘脑-垂体-睾丸素内分泌调节回路模型,提出了一种双层结构控制器.该双层结构控制器包括一级控制器和二级控制器.一级控制器根据控制偏差的大小,动态调整二级控制器的给定值输入,从而能够迅速、稳定地消除控制偏差.实验结果表明,该双层结构控制器的控制性、适应性等较普通PID控制器优越.     

基于模糊聚类分析的织物质量分级方法

织物性能的分类、分级信息是纺织品质量评估的直观表述。在织物客观评估的基础上，提出了基于减法聚类与模糊C-均值(FCM)聚类的集成方法用于纺织品质量评估分析。该方法以减法聚类算法得出的样本的最佳分类数为基础，用FCM聚类算法得到具体的分类结果。将聚类中心的特征值之和定义为分级指数，进一步用于解决织物质量的分级问题。通过对法国鲁贝高等纺织工程学院自织的43块棉针织物的分析，证明了以上方法在处理纺织品质量分类、分级问题中的有效性。     

船舶压载水外来生物入侵传播的防治

对世界范围内目前正在使用的或正在研究的治理船舶压载水外来生物入侵的技术手段和治理措施等进行了比较详细地阐述,提出控制船舶压载水的排放以及研究较为有效的压载水治理方法是解决压载水携带外来物种入侵性传播的有效途径.     

原子吸收光谱法在我国海洋环境样品分析中的应用

综述原子吸收光谱法在海洋环境样品分析中的应用，通过参考近50篇相关文献，主要介绍了原子吸收光谱法在河口海区沉积物、海洋生物、海水和海洋大气等方面的具体应用。基本上反映了原子吸收光谱法在环境化学分析领域的最新应用，并阐明了独到的见解．因而具有一定的参考价值．     

基于仿真技术的计算机网络课程辅助教学

利用开放的网络仿真系统,进行计算机网络课程的辅助教学,设计开发基于NS2及相关工具的一系列网络实验,较为全面系统地覆盖课程知识点,并介绍在教学的过程中利用仿真系统的方法和体会.最后,通过一个知识难点的教学实践例子,说明如何利用仿真技术将协议细节和网络性能进行细致地刻画和清晰地展示,达到良好的教学目的.     

地方高校研究机构绩效评估指标权重的AHP算法

根据地方高校研究机构的科研特点，探讨了运用AHP理论确定高校研究机构绩效评估指标权重的方法。     

Policy Optimization Study Based on Evolutionary Learning

In order to achieve an intelligent and automated self-management network,dynamic policy configuration and selection are needed.A certain policy only suits to a certain network environment.If the network environment changes,the certain policy does not suit any more.Thereby,the policy-based management should also have similar natural selection process.Useful policy will be retained,and policies which have lost their effectiveness are eliminated.A policy optimization method based on evolutionary learning was p...     

Research on a New-style Pipeline Inspection Robot System

IntroductionRecently pipe is used widely on the industry,agriculture and daily life. Natural gas and oil supplybecomes one of the fundamental public services and itsimpact on the urban infrastructure is getting larger. Theurban oil/gas pipelines, as they are buried under theground, are prone to external corrosion usually derived bymoisture and chemical agent in soil, which causes materiallosses of the pipe wall. Also, cracks in the welded regionand the da…     

Structural Prediction of Membrane Protein: Application to Known Structures

Membrane proteins are embedded in the lipid bilayer,which creates a suitable environment for their actions. It is important to decide which tpye it belongs to because it is closely relevant to its biological fumction and its interaction process with other molecules in a biological system. Membrane proteins have different types. The function of a membrane protein is closely correlated with the type it belongs to. In this study, on the basis of the concept of pseudo amino acid (PseAA) composition originally introduced by Chou, the value of approximate entropy (ApEn) of the query membrane protein was used to integrate the complementary information. By fusing fifteen powerful individual fuzzy K-nearest neighbor (FKNN) classifiers, an ensemble classifier was presented.Each basic classifier was trained in PseAA composition of membrane protein sequences with different parameters. The results of experiments demonstrate it is efficient for the structural prediction of membrane proteins.     

基于生物实体的网络服务突现

自然生物系统中的关键机理和重要原理可用于设计一种新颖的生物网络结构及其仿真平台，以满足未来Internet网络的关键需求。本文在此仿真平台基础上实现了具有移动Agent和生物个体特点的生物实体及其行为算法，并根据生物实体的特点构建了各种服务，最后通过仿真实验验证了基于生物实体的网络服务构建的优点。生物网络的服务突现，将为设计未来网络节点中的智能服务和应用提供一种新颖的方法。