骆马湖生态建设

骆马湖为浅水湖泊,具有典型的过水性特征,已经处于中富营养化阶段。通过对骆马湖富营养化发生机制的研究,发现入湖河道携入大量营养物质入湖和水生植物的破坏是骆马湖富营养化进程加快的主要原因。为了保护骆马湖水质,提出对骆马湖生态建设的意见:建立自然保护区,建设入湖口人工湿地,建设骆马湖生态湖滨,通过生态渔业和生态旅游实现骆马湖的可持续开发。     

流域生态环境需水计算

介绍了我国流域生态需水研究现状,在对流域生态环境需水计算的前提条件进行阐述的基础上,根据生态需水的水文学原理以及生态系统学原理,从8个方面提出了流域生态环境需水的计算方法,以确定整个流域的生态环境需水量,从而合理量化生态需水总量,达到水资源优化配置的目的.     

上海市水环境生态安全评价

从“状态—压力—响应”指标框架体系出发,针对上海市水环境生态系统的现状特点,从时间变化和空间对比分析角度分别建立了上海市水环境生态安全评价指标体系;利用标准化和变异系数法确定各指标的标准化值和权重,采用综合指数评价法得到安全评价的综合指数值。在此基础上采用等级划分法,建立起综合指数值与生态安全评判的等级关系。各指标层的变化趋势揭示了上海市水环境生态安全的现状和发展趋势,即中心城区的水环境生态安全等级普遍低于郊区;在年际变化上,状态指标层评价值呈下降趋势,需要持续保护水环境生态系统;而压力和响应指标层评价值不断上升,保证了总体的良性发展趋势。     

一种非对称互联型粒子群算法

提出了一种非对称互联型粒子群算法(AFIPSO),它是对互联型粒子群算法的改进。此算法重新构造了加权函数,体现了粒子之间的非对称影响。随后对六种加权函数及其4种交叉组合进行了测试。试验结果表明:组合加权函数对算法的收敛速度和稳定性均有非常好的改善,在收敛率上几近完美。     

An Exploratory Study of E-Business Success Factors

E-business success factors are Important for traditional enterprises to implement e-business. This topic is attracting more and more researchers to study. This paper makes an exploratory study on the factors influencing e-business success. Firstly, based on the literature review, 52 factors are suggested. Secondly, two rounds of survey with Delphi method are conducted. Qualitative and quantitative analysis are used to identify 57 factors. This is the foundation of empirical study.     

Preschool Competency in Context: An Investigation of the Unique Contribution of Child Competencies to Early Academic Success.

The present concurrent study combined developmental and ecological considerations to examine the unique contribution of multiple preschool competencies to an indicator of early academic success. Participants included 195 Head Start children from 32 classrooms representative of a large, urban Head Start program. Dimensional (variable-centered) analyses revealed 3 distinct classroom competency dimensions (i.e., General Classroom Competencies, Specific Approaches to Learning, and Interpersonal Classroom Behavioral Problems). The first 2 of these dimensions were found to be uniquely associated with early academic success. Findings from typological (person-centered) analyses supported the dimensional findings. Typological analyses revealed 7 profiles of classroom competency distinguished by high scores on the dimensions of General Competencies and Approaches to Learning, and these profiles were found to relate differentially to the indicator of early academic success. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE

Abstract. In Keich (2000 ),we define a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. This paper extends the idea by constructing a discrete tangent – a `locally' optimal stationary approximation – for a discrete time, real Gaussian process. Analogously to the smooth case, our construction relies on a generalization of the recursion formula for the orthogonal polynomials of the spectral distribution function. More precisely, we use a generalization of the Schur parameters to identify the stationary tangent. By way of discretizing, we later demonstrate how this tangent can be used to obtain `good' local stationary approximations to non-smooth continuous time, real Gaussian processes. Further, we demonstrate how, analogously to the curvatures in the smooth case, the Schur parameters can be used to determine the order of stationarity of a non-smooth process.     

CMF300M355NU型质量流量计在油库汽车装车中的应用

介绍了质量流量计的工作原理有应用效果。这种新型质量流量计精度高，稳定性好，示值计量简便，可直接显示质量、流量、介质温度、密度等，维护量低，但必须正确安装、使用，才能发挥其应有的作用。     

网络展开图与符号网络分析

采用封闭网络模型,按照电路元件参数,采用开路、短路和着色运算,将电路图逐层分解,得到网络展开图.给出网络展开图的概念和运算规则,指出网络展开图中从根到末稍每个路径的值就是网络行列式展开式中的一个有效项,从而由网络展开图得到符号网络函数.该方法直接对电路图进行运算,不需要建立任何形式的电路方程和行列式,适用于一般的有源电路,而且能生成各种类型的网络函数.     

Neural Computation of the MoM Matrix Elements for Planar Configurations

In this paper a new artificial neural network (ANN) based model for the calculation of the method of moments (MoM) matrix elements is presented. Training sets that characterize the matrix elements are first constructed. These sets are then utilized to effectively train two radial basis function (RBF) neural networks to accurately estimate all the elements of the MoM matrix for any mesh used. The potential of the proposed approach is demonstrated in the case of a narrow microstrip line. The current distribution on the microstrip line produced by the trained RBF networks agrees very well with the exact distribution. In addition, the proposed ANN model is much faster than the conventional MoM procedure.