高职新生报到管理系统设计模型

为了提高新生报到管理过程中的工作效率,利用管理信息系统MIS对新生报到工作进行统一管理和决策部署已成为大势所趋。论述了将条型码技术应用到新生报到管理系统中,给出了系统设计目的、网络拓扑结构、数据库设计和系统功能模块的设计模型。     

3D打印网络系统合成模型及智能组网应用北大核心CSCD

针对3D打印设备、3D相关设备和运行数据的统一建模问题,提出并建立3D网络系统合成模型,包含数据合成类型定义模型、单纯数据类型定义模型、组合数据类型定义模型、数据合成约束系统,实现3D打印设备与3D相关设备间的互操作、信息共享、协同工作;建立3DCNS和3DNSC的配套通讯体系,构建网络与设备的综合信息模型和对应通讯机制,实现网络与设备的自我表述。通过集成禁用品保护、在线防闭锁、区域网络禁令选跳、3D打印通信网络平台、基于PCSD的逻辑处理器、网络节点能量监控管理系统等具体应用,论证并说明了3DNSC模型的信息量化能力、统一通讯能力、互操作能力,为扩展构建数字化3D设备智能化平台及3D打印智能网络奠定了基础。     

基于专家决策的网络性能管理系统的设计

阐明了网络性能管理在现代网络管理中的重要作用,介绍了当前网络管理系统的基本特点。结合网络管理和专家系统的特点,提出了一个基于专家决策的网络性能管理系统的设计方法,着重介绍了系统的几个重要的功能模块。最后总结了这种方法的优点及不足。     

基于Web的网络管理系统设计

给出了一个基于Web网络管理的完整解决方案,实现了对IP网络设备的统一管理,提供了基于Web的可交互式的网络管理系统。     

基于PowerDesigner的网络管理数据库设计

网络管理系统以数据为中心,数据库在网络管理中起着至关重要的作用。首先对网络管理系统进行了需求分析,然后利用PowerDesigner设计并实现了网络管理系统数据库,对网络管理系统数据库的开发有一定的借鉴作用。     

数据库应用系统中LOB应用技术研究

为解决某专项技术数据库应用系统中多类型文档数据、图像数据等大对象数据的组织、存储、管理和高效访问技术问题,研究了应用Oracle 9i数据库管理系统对大对象类型数据进行集中存储和统一管理的技术,以及基于JSP的网络数据库应用系统对大对象数据的数据访问和数据显示技术。提出采用Oracle 9i中LOB和Long Raw数据类型对大对象数据进行存储和管理,以数据流的形式实现大对象类型数据的输入和输出,并基于JSP语言设计客户端软件,提供方便的图形用户接口,有效解决了数据库应用系统中大对象数据的存储、访问与显示问题。     

SQL SERVER 2005中XML类型数据的输入方法

Microsoft SQL Server2005为关系数据表的字段新增了XML数据类型,我们可以很方便地把XML文档存入到XML类型字段中,从而使XML文档数据纳入到关系数据库管理系统的管理当中,实现了XML文档数据与关系型数据存储和管理的有机统一。但XML数据毕竞不同于关系型数据,它的数据输入有其特殊性,所以文中通过示例详细介绍几种XML数据的输入方法。     

一个数据与行动管理系统

本文阐述对数据、程序模块和动态过程进行统一管理的原理及其实行。通过引入“过程”这一概念,提出了一种高级网络表达方法用以描述问题求解、决策及控制等动态过程,并介绍了据此构造通用数据与行动管理系统的软件工具。本文还讨论了在数据与行动管理系统中实行多级数据完整性控制的概念,最后,通过建立在VAX计算机上的一个实验性系统和一个生产管理的简例,表示了这些原理的实施和应用。     

基于网络运行管理平台的资产管理系统

网络运行管理系统和资产管理系统相互独立,缺乏数据共享和数据同步机制,且传统资产管理系统缺乏流程监控和资产生命周期管理功能。为此,提出基于iNetboss2网管平台的资产管理系统。通过共享统一资产数据的方式将网络管理和资产管理相结合,利用工作流技术实现设备资产的流程管理和生命周期管理。运行结果表明,基于网络运行管理平台的资产管理系统能有效解决数据冗余和信息孤岛问题,并且能提高网管系统和资产管理系统的信息化和业务流程化水平。     

数据库应用系统中LOB应用技术研究

为解决某专项技术数据库应用系统中多类型文档数据、图像数据等大对象数据的组织、存储、管理和高效访问技术问题,研究了应用 Oracle 9i 数据库管理系统对大对象类型数据进行集中存储和统一管理的技术,以及基于 JSP 的网络数据库应用系统对大对象数据的数据访问和数据显示技术.提出采用 Oracle 9i 中 LOB 和 Long Raw 数据类型对大对象数据进行存储和管理,以数据流的形式实现大对象类型数据的输入和输出,并基于 JSP 语言设计客户端软件,提供方便的图形用户接口,有效解决了数据库应用系统中大对象数据的存储、访问与显示问题.     

A self-organizing computing network for decision-making in data sets with a diversity of data types

A self-organizing computing network based on concepts of fuzzy conditions, beliefs, probabilities, and neural networks is proposed for decision-making in intelligent systems which are required to handle data sets with a diversity of data types. A sense-function with a sense-range and fuzzy edges is defined as a transfer function for connections from the input layer to the hidden layer in the network. By generating hidden cells and adjusting the parameters of the sense-functions, the network self-organizes and adapts to a training set. Computing cells in the input layer are designed as data converters so that the network can deal with both symbolic data and numeric data. Hidden computing cells in the network can be explained via fuzzy rules in a similar manner to those in fuzzy neural networks. The values in the output layer can be explained as a belief distribution over a decision space. The final decision is made by means of the winner-take-all rule. The approach was applied to a series of the benchmark data sets with a diversity of data types and comparative results obtained. Based on these results, the suitability of a range of data types for processing by different intelligent techniques was analyzed, and the results show that the proposed approach is better than other approaches for decision-making in information systems with mixed data types.     

An image construction method for visualizing managerial data

High volume data with complicated relationships can render human decision-making a frustrating task. Computer-generated visualization is an approach that can assist decision-makers in gaining insight into the data so that eventually superior solutions can be developed. Current research in visualization has addressed how to deal with high volume data that have some inherent structures (such as hierarchy, network, or geographical relationships). Many management domains, however, have data that lack obvious structures to provide a base for computer-generated visualization. This paper reports a specially designed technique for visualizing such management data. Data objects involved in the decision-making tasks are assigned with geometry (called visual abstract) in Euclidean space. Then a set of image construction rules are applied to connect multiple visual abstracts into images that can be displayed on a computer screen. We use two business domains, manufacturing production planning and resource constrained project scheduling, to illustrate this visualization technique.     

An object-oriented database management system for computer-aided design of tall buildings

An effective database and database management system is the key to the success of an integrated approach to software engineering applications in general, and Computer-Aided Design (CAD) for structural applications in particular. Due to the inherent nature of CAD data such as dynamic modeling, a wide range of data types, large data volume, etc., the traditional database models, such as hierarchical, network and relational models, are unable to handle the aforementioned applications satisfactorily. An object-oriented data modeling is known to be the most effective approach. However, many of the commercial object-oriented databases are designed for information management, and they are inadequate for CAD application due to the different features of the object-hierarchy and varying data management objectives during the design cycles. This paper presents a hierarchical index-based object-oriented database management model for CAD applications. To deal with the object hierarchy encountered in CAD for the design of tall buildings, the proposed database consists of several salient features: a hierarchical object model, its related storage structure, a data dictionary, a class factory and an index system. The proposed database management model has been implemented into an integrated CAD system for design application of tall buildings.     

A unified framework for heterogeneous patterns

Knowledge patterns, such as association rules, clusters or decision trees, can be defined as concise and relevant information that can be extracted, stored, analyzed, and manipulated by knowledge workers in order to drive and specialize business decision processes. In this paper we deal with data mining patterns. The ability to manipulate different types of patterns under a unified environment is becoming a fundamental issue for any ‘intelligent’ and data-intensive application. However, approaches proposed so far for pattern management usually deal with specific and predefined types of patterns and mainly concern pattern extraction and exchange issues. Issues concerning the integrated, advanced management of heterogeneous patterns are in general not (or marginally) taken into account.     

基于ART2的网络入侵检测算法

基于ART2的网络入侵检测算法是在自适应共振理论的基础上改进而来的。该算法对接收到的网络数据以及系统状态数据进行分析判断,实现入侵方式的自动分类,并且能够对新产生的入侵方式进行分类与记忆,实现了入侵检测系统的自适应性。该算法应用到入侵检测系统中能够解决入侵检测系统中可能出现的预分类不完全的问题,这对于检测新出现的入侵类型无疑具有很大的使用价值。     

基于神经网络的异构网络向量化表示方法

当网络中存在不同类型的对象时,对象与对象之间的关系会变得多种多样,网络的结构也会变得更为复杂。针对网络的异构化问题,提出了一种基于神经网络的异构网络向量化表示方法。针对具有图片和文本两种类型对象的异构网络,采用多层次的卷积网络将图片映射到一个潜在的特征空间,采用全连接的神经网络将文本对象也映射到相同的特征空间。在该特征空间内,图片与图片、文本与文本以及图片和文本之间的相似性采用相同的距离计算方法。在实验中,应用提出的方法进行异构网络的多种应用测试,结果表明提出的方法是有效的。     

Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data

The analysis of mobile phone data can help carriers to improve the way they deal with unusual workloads imposed by large-scale events. This paper analyzes human mobility and the resulting dynamics in the network workload caused by three different types of large-scale events: a major soccer match, a rock concert, and a New Year’s Eve celebration, which took place in a large Brazilian city. Our analysis is based on the characterization of records of mobile phone calls made around the time and place of each event. That is, human mobility and network workload are analyzed in terms of the number of mobile phone calls, their inter-arrival and inter-departure times, and their durations. We use heat maps to visually analyze the spatio-temporal dynamics of the movement patterns of the participants of the large-scale event. The results obtained can be helpful to improve the understanding of human mobility caused by large-scale events. Such results could also provide valuable insights for network managers into effective capacity management and planning strategies. We also present PrediTraf, an application built to help the cellphone carriers plan their infrastructure on large-scale events.     

On process model synthesis based on event logs with noise

Process mining is a new emerging discipline related to process management, formal process modelling, and data mining. One of the main tasks of process mining is model synthesis (discovery) based on event logs. A wide range of algorithms for process model discovery, analysis, and enhancement is developed. The real-life event logs often contain noise of different types. In this paper, we describe the main causes of noise in the event logs and study the effect of noise on the performance of process discovery algorithms. The experimental results of application of the main process discovery algorithms to artificial event logs with noise are provided. Specially generated event logs with noise of different types were processed using the four basic discovery techniques. Although modern algorithms can cope with some types of noise, in most cases, their use does not lead to obtaining a satisfactory result. Thus, there is a need for more sophisticated algorithms to deal with noise of different types.     

基于人工智能理论的网络安全管理关键技术的研究

网络安全对网络应用具有非常重要性的现实意义,其中,网络异常检测和泛化能力是网络安全管理中的关键环节。以基于人工智能理论的网络安全管理关键技术为研究对象,提出基于克隆选择模糊聚类算法的异常检测方法,解决异常检测效率低、误报率高等问题;提出基于交补分担准则的证据组合规则方法,解决信息融合证据组合冲突和规则缺陷等问题;提出基于改进证据组合规则的P2P信任管理模型,解决P2P系统难以有效处理恶意节点攻击、不能有效处理不确定性信息等问题。     

基于OPC技术的三层实时信息系统框架

OPC技术能提供管理网与控制网之间的平滑过渡。通过OPC技术能够标准化、规范化生产现场网络系统中的实时数据通信,连接管理网与控制网。在应用OPC技术的基础上,提出了基于三层实时信息系统方案,以及现场实现的关键技术。该系统具有支持QoS实时信息转发、实时数据存储及网络对象管理等功能。该方案解决了可靠性、实时性等问题。