多资源约束下的项目调度邻域搜索算法

为了解决项目调度过程中不同项目之间的资源冲突问题,提出了一种基于拓扑排序的邻域搜索算法．设计跳动和微动两个操作,实现编码的更新,保证解的多样性与收敛性．用项目调度问题库（Project Scheduling ProblemLibrary．PSPLIB）中不同规模的实例对算法进行检验,结果表明,这种邻域搜索算法能够找到较优的解．用这种邻域搜索算法计算其它算法的案例,结果也显示这种算法具有一定的优越性．对这种邻域搜索算法的不同参数进行实验,分析了参数设置对算法性能的影响．     

基于分水岭算法的MELK图像分割*

提出一种基于分水岭算法的MELK图像分割方法,以解决信息量较小的MELK图像分割问题。综合应用多种技术以避免分水岭算法的过分割问题。首先应用高斯低通滤波器对MELK图像进行增强;采用加权差分算子求取梯度图像;应用Ostu方法进行对梯度阈值化,并进行分水岭变换;最后,应用RAG区域合并方法完成MELK图像分割。实验结果表明,该分割方法能够有效地分割信息量较小的MELK图像。     

M-PN空间中非线性算子方程解的存在性问题

利用概率线性赋范空间中的Leray-Schauder拓扑度理论,通过改变算子所满足的边界条件,研究了非线性算子方程Tx=Lx和Tx-Lx p的解的存在性问题,在不要求方程满足L≥1的条件下(在文[1,2]中都要求方程满足条件L≥1),得到了几个新的定理.同时改进了文[1]中关于非线性算子方程Tx=μx(μ≥1)的结论,并且推广文[2]中关于非线性算子方程Tx=Lx p(L≥1)的结论。     

一类具有时滞的捕食模型的全局稳定性

在生态系统中,种群的全局稳定性一直是研究的重点内容之一,考虑了一个同时具有时滞和功能性反应的捕食-被捕食模型,通过微分不等式给出了解的有界性和持久性的充分条件,利用构造Liapunov泛函得到模型的全局稳定性.     

复合动力系统

采用分析法研究了拓扑动力系统（X,f°g）的动力性状与拓扑动力系统（X,f）及（X,g）的动力性状之间的关系,结果表明,若,是拓扑传递、拓扑混合、拓扑强传递和初值敏感依赖的,且g满足一定条件,则f°g相应地也是拓扑传递、拓扑混合、拓扑强传递和初值敏感依赖的．通过对（X,f）的动力性状和（X,g）的动力性状的研究,可以刻画出（X,f°g）的某些动力性状．     

Z-P-S空间中的固有值与固有元的若干问题

根据Menger-PN空间中固有值与固有元的概念,研究了Z-P-S空间中的固有值与固有元的若干问题,得出了几个重要的结论．     

具有动态突触的Hopfield时滞神经网络的稳定性分析

在研究Hopfield神经网络时,通常把连接权视为常数;但实际上神经元间的突触是随时间变化的。文章运用拓扑度理论和Liapunov泛函方法,研究具有动态突触的Hopfield时滞神经网络平衡点的存在性和全局吸引性,得到了平衡点存在的简单的代数判据。     

基于EMS平台的电网调度实时智能操作票系统研究及应用

从EMS(能量管理系统)系统的一体化、自动组织票、调度关联图等三个方面提出了智能操作票的设计方案。按网络拓扑分析理论,重点从关联变电所和合解环点搜索两个方面解决了智能操作票系统实施的技术关键,取得了良好的应用效果。     

A NEW VERSION OF STRUCTURAL PERSISTENCE IN PREDICTION

Abstract. A data analysis estimation method called structural persistence is presented in this paper. Prediction applications of the method to time series with trend and seasonal components are discussed. The basic underlying assumption is that the structure of a given series does not change in the forecasting range. Therefore, when forecasts are made, the values which measure the structure (e.g. the trend shape) of the original and of the forecast-extended time series should be the same. We propose relaxed 'model-free' use of the principle which nevertheless provides an explicit prediction formula for the one-stepahead prediction P _{n +1}. Missing data can also be estimated using this method. The procedure is applied to some previously published time series data and the prediction results are compared with those obtained using the Box-Jenkins approach.     

Querying large models efficiently

ContextThe paradigm of Model-Driven Engineering (MDE) has emerged as a new area of software engineering that uses models to improve the productivity and reusability of software in order to achieve industrial standards. As models grow in size and complexity, the need of model persistence and model querying solutions arises to efficiently store large models and obtain information from them in an efficient, usable and safe way. Morsa is a model repository that uses a No-SQL database backend; it has been recently presented [1] and achieves scalable access to models and transparent integration with tools.ObjectiveOur goal was to develop a query language for Morsa, as the existing model querying approaches cannot take advantage of the design of the our repository.MethodThe method followed in this paper comprises the following steps: (i) analyze the problem of model querying and identify a set of dimensions that can be used to characterize querying approaches; (ii) study and evaluate a representative set of model querying approaches and (iii) use the experience gained to design, develop and evaluate a dedicated model querying approach for Morsa that performs better than the studied ones (plain EMF, EMF Query, MDT OCL, IncQuery and CDO OCL). A test case has been defined to evaluate and compare the different approaches.ResultsThe contributions of this work are: first, an efficient, usable querying approach called Morsa Query Language (MorsaQL) that extends Morsa with querying capabilities, as the existing querying approaches cannot take advantage of our repository, and second, a comparative study of the current model persistence and querying approaches.ConclusionThe experience of analyzing and evaluating the different querying approaches has been very useful, as it has helped us developing our own one, which has been proven to be the best choice for Morsa. Moreover, the results of this paper can guide the MDE developers on which querying approach to use, depending on their needs.