基于RMI的分布式计算技术研究及应用

分布计算是当前软件开发技术的重要发展方向之一。分析基于分布对象的分布计算模型，探讨RMI的体系结构、工作机制、安全机制及异常处理，给出基于RMI的分布计算的基本解决方案，运用RMI并结合JDBC技术设计实现一个三层架构的分布式成绩查询系统，最后总结RMI的优势与不足。     

Java RMI在分布计算中的应用

随着网络技术、面向对象技术的成熟,分布计算已成为软件设计的主流技术.Java RMI是Java实现网络分布计算应用模型的解决方案之一.本文简单介绍RMI的编程方法,讨论了利用RMI进行分布计算的步骤,通过实例说明访问Oracle数据库的分布计算实现过程.     

基于远程方法调用开发分布计算系统

随着网络技术、面向对象技术的成熟，分布计算已成为软件设计的主流技术。本文对远程方法调用的体系结构与调用机制进行研究．通过一个实例给出利用Java RMI开发分布计算系统的方法。基于Java RMI的远程方法调用为实现企业分布计算提供了行之有效的解决方案。     

JavaRMI在分布计算中的应用

随着网络技术、面向对象技术的成熟,分布计算已成为软件设计的主流技术。JavaRMI是Java实现网络分布计算应用模型的解决方案之一。本文简单介绍RMI的编程方法,讨论了利用RMI进行分布计算的步骤,通过实例说明访问Oracle数据库的分布计算实现过程。     

基于远程方法调用开发分布计算系统

随着网络技术、面向对象技术的成熟,分布计算已成为软件设计的主流技术.本文对远程方法调用的体系结构与调用机制进行研究,通过一个实例给出利用Java RMI开发分布计算系统的方法.基于Java RMI的远程方法调用为实现企业分布计算提供了行之有效的解决方案.     

Java RMI和．NET Remoting的对比研究

本文介绍了当前流行的两种分布式技术．NET Remoting和Java RMI的体系结构及具体实现。分析和比较了两者之间的特点和不同。     

Java RMI分布式系统应用研究

RMI是开发Java网络分布式应用系统的一个重要框架,开发人员通过运用RMI框架将更易于分布式系统的开发。该文详细介绍了RMI的运行机制,并对运用RMI框架进行分布式系统的开发步骤进行了阐述,最后给出了RMI技术的具体应用实例和实现方法。     

基于Java RMI的分布式WebGIS模型研究

WebGIS是当前GIS的技术热点,立足于WebGIS的分布式特性,在分析Java RMI特点以及优势的基础上,提出基于Java RMI的分布式WebGIS构造模型,并且详细介绍了空间数据模型、组件注册服务器等相关概念和主要实现技术。     

基于Java代理和HTTP协议的RMI框架的实现

代理模式为其他对象提供一种代理以控制对目标对象的访问,Java动态代理则为代理模式提供了一种简单易用的框架.基于HTTP协议的Tava对象隧道技术实现对象消息传递,可以方便地把这个技术集成到应用系统中.在介绍Java代理模式和基于HTTP协议的Java对象隧道技术的基础上,提出了基于二者的一种RMI框架的设计与实现.该框架不但可以穿越企业内外网防火墙,而且使得部署RMI应用与普通Web应用一样简单.     

RMI技术和Jini的结合方式研究

RMI使运行在不同的Java虚拟机（JVM），甚至不同主机上的Java应用程序可以彼此会话，而Jini技术是建立在JavaBean/RMI机制上的一种应用技术，它使各种设备可以非常简单地连接到任意无准备的网络(impromptunetwork)上，从而使得对新的网络服务的访问和发送变得非常简单，本文对RMI技术和Jini的结合方式进行了介绍，着重分析了RMI技术在Jini模型中的关键作用，并讨论Jini今后的发展方向。     

基于渗流模型的影响力最大化算法

多数社交网络影响力最大化算法的研究只关注于所选种子节点集合的影响力是否最优,忽略网络自身传播影响力的固有能力。本文对网络进行渗流模拟,计算渗流后网络的主连通分量随着传播概率改变的趋势,并且求得主连通分量大小增加开始变快的相变点,从而计算网络自身传播影响力的固有能力。通过相变值与种子节点集合大小的换算,求得当前网络最佳的种子节点集合大小。将种子节点集合大小限制在最佳大小范围内即可获得最佳的影响力。在kareteclub、football、highschool和socdolphins社交网络数据集上进行实验,验证了该方法的有效性。     

A method of defuzzification based on the approach of areas' ratio

The new method of defuzzification of output parameters from the base of fuzzy rules for a Mamdani fuzzy controller is given in the paper. The peculiarity of the method is the usage of the universal equation for the area computation of the geometric shapes. During the realization of fuzzy inference linguistic terms, the structure changes from the triangular into a trapezoidal shape. That is why the universal equation is used. The method is limited and can be used only for the triangular and trapezoidal membership functions. Gaussian functions can also be used while modifying the proposed method. Traditional defuzzification models such as Middle of Maxima − MoM, First of Maxima − FoM, Last of Maxima − LoM, First of Suppport − FoS, Last of Support − LoS, Middle of Support − MoS, Center of Sums − CoS, Model of Height − MoH have a number of systematic errors: curse of dimensionality, partition of unity condition and absence of additivity. The above-mentioned methods can be seen as Center of Gravity − CoG, which has the same errors. These errors lead to the fact that accuracy of fuzzy systems decreases, because during the training root mean square error increases. One of the reasons that provokes the errors is that some of the activated fuzzy rules are excluded from the fuzzy inference. It is also possible to increase the accuracy of the fuzzy system through properties of continuity. The proposed method guarantees fulfilling of the property of continuity, as the intersection point of the adjustment linguistic terms equals 0.5 when a parametrized membership function is used. The causes of errors and a way to delete them are reviewed in the paper. The proposed method excludes errors which are inherent to the traditional and non- traditional models of defuzzification. Comparative analysis of the proposed method of defuzzification with traditional and non-traditional models shows its effectiveness.     

Transmission of vertical vibration through a seat: Effect of thickness of foam cushions at the seat pan and the backrest

The perception of vehicle ride comfort is influenced by the dynamic performance of full-depth foam used in many vehicle seats. The effects of the thickness of foam on the dynamic stiffness (i.e., stiffness and damping as a function of frequency) of foam cushions with three thicknesses (60, 80, and 100 mm), and the vibration transmitted through these cushions at the seat pan and the backrest were measured with 12 subjects (6 males and 6 females). With increasing thickness, the stiffness and the damping of the foam decreased. With increasing thickness of foam at the seat pan, the resonance frequencies around 4 Hz in the vertical in-line and fore-and-aft cross-axis transmissibilities of the seat pan cushion and the backrest cushion decreased. For the conditions investigated, it is concluded that the thickness of foam at a vertical backrest has little effect on the vertical in-line or fore-and-aft cross-axis transmissibilities of the foam at either the seat pan or the backrest. The frequencies of the primary resonances around 4 Hz in the vertical in-line transmissibility and the fore-and-aft cross-axis transmissibility of foam at the seat pan were highly correlated. Compared to sitting on a rigid seat pan with a foam backrest, sitting with foam at both the seat pan and the backrest reduced the resonance frequency in the vertical in-line transmissibility of the backrest foam and increased the associated transmissibility at resonance, while the fore-and-aft cross-axis transmissibility of the backrest was little affected. Compared to sitting without a backrest, sitting with a rigid vertical backrest increased the resonance frequency of the fore-and-aft cross-axis transmissibility of the seat pan cushion and increased the transmissibility at resonance.Relevance to industryThe transmissibility of a seat is determined by the dynamic properties of the occupant of the seat and the dynamic properties of the seat. This study shows how the thicknesses of foam at a seat pan and foam at a backrest affect the in-line and cross-axis transmissibilities of the foams at the seat pan and the backrest. The findings have application to the design of vehicle seats to minimise the transmission of vibration to the body.     

基于XML的中间层交互技术的研究

由于HTML自身的不足．所以无法适应Web发展的复杂性和多变性，也不利于机器之间的数据交换和信息传递，通过对XML和HTML作多个角度的对比，文中提出将XML作为载体实现Web上的动态交互。首先从XML的自身特点出发，分析了XML驱动下的Web体系结构，从而得出基于XML的中间层交互技术的实现原理．重点研究了如何设计与XML相匹配的Web数据库，用XML查询数据库的实现方法，以及如何构造从XML到数据库的映射关系，具体包括从XIviL的DTD或者Schema出发来设计数据库的结构或者从数据库本身出发来构造与之相适应的DTD或Schema，最后分析了浏览XML格式信息的诸多策略。     

An approach to the synthesis of fuzzy stabilization systems with a priori unknown model of an object

A method of synthesis of fuzzy stabilization systems for a broad class of dynamic objects under the assumption that the mathematical model of the object is not known a priori is proposed. The control is formulated in the form of a proportional law of adjustment as a function of a macro-variable; the square of the Euclidean norm of the phase variables is adopted as the macro-variable. An analogous variable characterizes the distance of the object from the equilibrium position. Despite the simplicity of the control law, its sign remains constant due to the fact that the macro-variable is positive-definite over the entire phase space. The switching times of the signals are determined by fuzzy identification of the system’s dynamic modes on the basis of measurement of the derivatives of the macro-variable.     

OpenFlow技术与商业价值

针对目前流行的OpenFlow技术,本文提出OpenFlow的标准进展、商业价值和连通性测试。该方法根据控制层面和转发层面相分离的技术,采用移动研究院内网拓扑进行测试。实验结果表明,通过在BigSwitch controler上进行相关命令配置就可实现二层的OpenFlow交换机互联的不同网段主机的通信。OpenFlow是SDN技术中一种关键的接口协议,SDN是对网络的抽象, OpenFlow是对单个转发面设备的抽象。OpenFlow交换机和Control er的出现为新型互联网（NGN）体系结构的研究提供了实验途径。     

Teacher education in IT in Germany

Abstract In 1988 the eleven West-German Kultusminister , with responsibility for the school systems in their respective Bundeslaender , reached agreement with the Federal Ministry of Education and Science on the broad concept of 'Information and Communications Technology', ITG. After four years of discussion it was agreed that ITG should be introduced into the secondary level of the general schools. In spite of strong disagreements about the ways and speed of implementation, and after several years of experiments, important parts of the concept have become a reality in practically all of the old Bundeslaender. While acknowledging the complexity of the German educational system the paper attempts to outline the development of the concept of Information and Communications Technology and its consequences in teacher education. The development in the eastern part of Germany, the former GDR, has been completely different to that in the western part and this is also commented upon in the paper.     

融合分区与Canny泛函的水平集对猴脑提取的研究

The traditional level set has randomness in the location selection of the initial contour, and lacks the processing of edge information. Therefore, accurate extraction of brain tissue edges cannot be achieved. Therefore, firstly, the level set algorithm of fusion partition and Canny functional fuses the idea of partition and combines the morphological information of each region to complete the initial contour position selection, so that the initial contour contains more brain tissue, and improve the efficiency of brain tissue extraction. Secondly, the Canny operator is integrated into the energy functional, which improves the accuracy of detecting the edge of the macaque brain tissue while retaining the superiority of the traditional level set on the uneven grayscale image. Results show that the algorithm achieves accurate extraction of macaque brain tissue with an accuracy of up to 86%.     

可拓聚类的科教人际网络节点重要性动态分析方法

目前大多数研究对复杂社会网络关键节点影响力的识别都是静态的，缺乏动态变化的分析。采用可拓聚类方法对动态变化下的科教人际网络进行量化分析，首先以多属性决策法计算每个节点重要性，再利用变异系数权重法计算得该节点综合重要性量值，之后划分等级并取标准正域和正域区间，利用可拓关联函数计算每个节点与每个等级的关联度，关联度值最大的等级即为该节点对应等级，最后分析同一社会网络节点在不同时间点的重要性等级变化。可拓聚类方法尝试从动态上对网络节点重要性进行把握，最后通过实例验证了该方法的有效性。     

人和人工智能系统的概念形成过程研究

概念的形成是实现人工智能的基础,为研究人工智能系统中概念的形成过程,从人对事物形成概念的过程出发进行了研究。比较人和人工智能系统的概念形成过程得到了如下特点:人的优势在于能自主地确定对象表象和对象功能中的各种特征和划分等,能在对象、描述性定义和功能性定义对应关系不完备情况下通过思维和联想建立概念;人工智能系统的优势在于丰富的对象表象感知能力,对象的各种特征和划分的长期存储、运算和分析能力;而人工智能的概念形成过程存在的缺点基本与人的概念形成过程的优点对应。因此本文认为人工智能的概念形成过程必须关注因素的智能识别、功能的系统实践和人经验知识的有师学习。现有技术在缺乏人经验知识的情况下,人工智能系统不能自主建立概念和知识库,不能实现智能过程。