小波理论及其在声发射信号处理中应用现状

介绍了小波分析的产生与发展及理论现状,小波分析是傅立叶分析思想方法的发展与延拓。小波基的构造以及结果分析都依赖傅立叶分析,传统上使用傅立叶分析的地方,都可以使用小波分析,小波分析在超越傅立叶分析的同时与傅立叶分析相互补充,螺旋式向前发展。还分析了小波分析在声发射信号处理中的应用现状,并指出了存在的不足及今后的前景展望。     

基于STPA的核电厂仪控系统安全分析研究

为解决核电厂复杂仪控系统的安全性分析问题,通过引入基于系统理论的过程分析(STPA)方法,完成仪控系统的安全性分析。利用系统损失分析、系统风险分析、不安全的控制行为分析、致因场景分析四个分析过程,完成对现有核电厂仪控系统中控制保护耦合方案的安全性分析,以及保护系统设计过程的安全性分析。分析结果表明,STPA方法可有效从系统角度分析设计方案及设计流程中的不足,找出相关方案导致系统风险的致因场景和导致设计问题的根本原因。相关分析过程可进一步指导STPA方法在复杂仪控系统安全性分析中的应用。分析结果可用于指导复杂仪控系统的安全性设计。     

图像隐写分析现状研究

随着现代隐写术的发展，隐写分析成为信息安全领域一个新的研究热点。对图像隐写分析研究现状进行分析与综述，针对当前隐写分析技术的分类，阐述了隐写分析目的及概念，并重点分析几种常用统计隐写分析算法的原理、适用范围和面临的问题。最后，指出结合各种隐写分析算法，相互取长补短才是今后图像隐写分析发展的方向。     

三维CAD基础知识与基本方法(二)

一、工程分析在产品设计中需要对产品的结构、运动、受力、变形、受热等进行综合的分析计算。这些任务需要由ＣＡＥ工程分析系统来完成。ＣＡＥ系统涉及的领域非常广,从基本的运动学、动力学分析计算,到采用有限元方法进行应力和位移分析、振动分析、动态响应分析、非线性分析、疲劳分析、热传导分析以及电磁场和流体分析等。对于结构复杂、设计要求较高的产品,其关键零部件一般都要经过ＣＡＥ系统的分析、优化。这样可以提高产品质量、减少设计返工、缩短开发周期。根据不同的应用领域,有大量的商品化ＣＡＥ分析系统。一般大型的ＣＡＤ…     

STFT与图像压缩的探讨

时频分析在信号分析和处理中得到广泛的应用,分析信号从平稳扩展到非平稳,并且分析信号的约束条件减少了,同时信号分析的结果具有傅里叶分析所不具有的特性。从理论上和计算机仿真证明了可利用时频分析来进行数字图像压缩这一结论。     

亚信:全电信OmniCRM解决方案

面对竞争,电信运营商正迅速将业务重点从网络建设转向业务经营,经营理念正在从“以产品为中心”转变为“以客户为中心”。如何将传统的业务系统,改变成面向客户的营销系统,是运营商亟待解决的关键问题。对此,亚信公司提出了完善的全电信CRM解决方案OmniCRM,该方案包括分析型CRM、运作型C R M以及大客户管理系统OmniVIP。 经营分析及决策支持系统AI OmniVision是分析型CRM的核心,采用数据仓库、ETL、OLAP分析、灵活报表展现及数据挖掘等技术,进行用户分析、业务分析、收益分析、大客户分析、营销分析、竞争分析、服务质量分析、业务分析等主题分析及一些专题分析。     

财务报表分析相关实务问题探讨

财务报表分析的内容包括财务报表和财务分析。财务报表主要有资产负债表、损益表、现金流量表及相关附表。财务分析是对财务报表所反映内容的详细说明，也是对企事业单位经营成果和财务状况进行评价的书面文字。本文首先介绍了财务报表分析的特点及常用手法，继而阐述了财务报表分析的重要作用，在此基础上揭示出财务报表分析的主要内容，最后给出了财务报表分析的分析指标及注意事项。     

COSMOS/M应用实例

COSMOS/M是SRAC公司开发的微机版有限元分析软件，主要由静强度分析、动态响应、模态分析、失稳分析、电磁分析和传热分析等几大模块构成。静强度分析又有Liner Static和Unliner Static两大类。在此，笔者主要介绍Liner Static部分对工程设计的帮助。作为一种大型分析软件，COS     

过程分析和自动监测中的电化学传感器

本文从过程分析和自动监测的要求出发,简要介绍电化学传感器在过程分析和自动监测中的柞用和地位、结构和类型、以及应用和前景。一、作用和地位90年代,我国经济面临世界范围的竞争,为了提高经济效益,同时又有效地进行环境保护,过程分析和自动监测投术显得空前重要。过程分析的发展,经过离线分析、现场分析、在线分析、直接在线分析和非接触在线分析五个阶段。亿学传感器是过程分析发展第四阶段——直接在线分析的关键部分。将化学传感器直接置于生产线里面而获得     

基于格的数据流分析框架研究

数据流分析是编译系统中的一个重要的内容,也是程序静态分析的一个方面。论文按程序执行路径对数据流分析问题进行分类,这有利于建立数据流分析的统一的描述模型,并以此为基础论述了数据流分析框架与数据流分析的内在联系,这为并发程序的数据流分析奠定了良好的基础。     

A self-adaptation scheme for workflow management in multi-agent systems

Business processes, operational environment, variability of resources and user needs may change from time to time. An effective workflow management software system must be able to accommodate these changes. The ability to dynamically adapt to changes is a key success factor for workflow management systems. Holonic multi-agent systems (HMS) provide a flexible and reconfigurable architecture to accommodate changes based on dynamic organization and collaboration of autonomous agents. Although HMS provides a potential architecture to accommodate changes, the dynamic organization formed in HMS poses a challenge in the development of a new software development methodology to dynamically compose the services and adapt to changes as needed. This motivates us to study and propose a methodology to design self-adaptive software systems based on the HMS architecture. In this paper, we formulate a workflow adaptation problem (WAP) and propose an interaction mechanism based on contract net protocol (CNP) to find a solution to WAP to compose the services based on HMS. The interaction mechanism relies on a service publication and discovery scheme to find a set of task agents and a set of actor agents to compose the required services in HMS. We propose a viable self-adaptation scheme to reconfigure the agents and the composed services based on cooperation of agents in HMS to accommodate the changes in workflow and capabilities of actors. We propose architecture for our design methodology and present an application scenario to illustrate our idea.     

Would I lie to you? Self-serving lies and other-oriented lies told across different media

This study set out to investigate the type of media individuals are more likely to tell self-serving and other-oriented lies, and whether this varied according to the target of the lie. One hundred and fifty participants rated on a likert-point scale how likely they would tell a lie. Participants were more likely to tell self-serving lies to people not well-known to them. They were more likely to tell self-serving lies in email, followed by phone, and finally face-to-face. Participants were more likely to tell other-oriented lies to individuals they felt close to and this did not vary according to the type media. Participants were more likely to tell harsh truths to people not well-known to them via email.     

集群负载均衡--CSM的实现

对于现在的互联网络通信状况，负载均衡显示其越来越多的重要性，通常实现负载均衡是使用软件并结合相应的算法，该文所描述的是利用Cisco公司的CSM模块来实现安全可靠的负载均衡，CSM模块将客户机的请求分发到不同的虚拟服务器，配合Cisco MSFC模块并合理地进行DNS的配置，实现网络服务的负载均衡。简要介绍了CSM模块的工作原理，如何配置DNS，如何设置虚拟主服务器，以及如何对系统CSM模块进行设置做了描述。     

Self-administered preventive programme for sedentary workers: reducing musculoskeletal symptoms or increasing awareness?

The objective of this study was to evaluate an auto-instructional preventive programme designed to allow the subjects to identify critical aspects related to their work and musculoskeletal comfort, and provide them with some simple alternatives for controlling the identified problems. The programme was evaluated by 36 secretaries and bank clerks through their symptom perception before and after the programme. The results showed that the symptoms increased in number and severity. The programme seemed to have helped the participants to become aware of the ergonomic problems present in their job and to link these problems to physical symptoms. Self-administered preventive programmes can lead to clearly negative results when applied as the only measure to control musculoskeletal symptoms.     

Product selection for promotion planning

This paper addresses a very important question—how to select the right products to promote in order to maximize promotional benefit. We set up a framework to incorporate promotion decisions into the data-mining process, formulate the profit maximization problem as an optimization problem, and propose a heuristic search solution to discover the right products to promote. Moreover, we are able to get access to real supermarket data and apply our solution to help achieve higher profits. Our experimental results on both synthetic data and real supermarket data demonstrate that our framework and method are highly effective and can potentially bring huge profit gains to a marketing campaign.     

FaBiO and CiTO: Ontologies for describing bibliographic resources and citations

Semantic publishing is the use of Web and Semantic Web technologies to enhance the meaning of a published journal article, to facilitate its automated discovery, to enable its linking to semantically related articles, to provide access to data within the article in actionable form, and to facilitate integration of data between articles. Recently, semantic publishing has opened the possibility of a major step forward in the digital publishing world. For this to succeed, new semantic models and visualization tools are required to fully meet the specific needs of authors and publishers. In this article, we introduce the principles and architectures of two new ontologies central to the task of semantic publishing: FaBiO, the FRBR-aligned Bibliographic Ontology, an ontology for recording and publishing bibliographic records of scholarly endeavours on the Semantic Web, and CiTO, the Citation Typing Ontology, an ontology for the characterization of bibliographic citations both factually and rhetorically. We present those two models step by step, in order to emphasise their features and to stress their advantages relative to other pre-existing information models. Finally, we review the uptake of FaBiO and CiTO within the academic and publishing communities.     

Automatic generation of variants depending on changes of product properties in a flexible manufacturing environment

Competition forces manufacturing systems to be flexible and to increase product variety and process complexity. These tasks depend on the flexible design of a bill of materials (BOM), one of the most important inputs in manufacturing planning and control systems. Product variety forces systems to generate BOMs with regard to product properties through a BOM pattern. A variant bill of materials provides a structure to manage product variability. In this study, an algorithm is designed to build a BOM pattern using computer-aided design and computer-aided manufacturing (CAD/CAM) data, and another algorithm is designed to generate variants with regard to product specifications. Genetic algorithm is used to generate new products to provide high product variability for testing algorithms. After the test, both algorithms are applied to a real industry problem. The BOM pattern is built automatically using CAD/CAM data, and variants are generated with regard to the pattern, and the results are discussed.     

Modelling deforestation using GIS and artificial neural networks

This study aims to predict the spatial distribution of tropical deforestation. Landsat images dated 1974, 1986 and 1991 were classified in order to generate digital deforestation maps which locate deforestation and forest persistence areas. The deforestation maps were overlaid with various spatial variables such as the proximity to roads and to settlements, forest fragmentation, elevation, slope and soil type to determine the relationship between deforestation and these explanatory variables. A multi-layer perceptron was trained in order to estimate the propensity to deforestation as a function of the explanatory variables and was used to develop deforestation risk assessment maps. The comparison of risk assessment map and actual deforestation indicates that the model was able to classify correctly 69% of the grid cells, for two categories: forest persistence versus deforestation. Artificial neural networks approach was found to have a great potential to predict land cover changes because it permits to develop complex, non-linear models.     

Can technology build organizational social capital? The case of a global IT consulting firm

Knowledge management (KM) and knowledge management systems (KMS) have been positioned as strategies and tools that enable organizations to create and transfer knowledge in order to sustain competitive advantage. While KM as a strategy gained legitimacy, KMS have struggled to show a causal relationship to knowledge creation and knowledge transfer. KMS contribution to the economic performance of organizations has been harder to prove, mainly because of a lack of collection of data and thus analysis of knowledge metrics. This has lead to an unjustifiable move to underplay the role of technology in creating and transferring knowledge. We strived to revive interest in KMS by exploring their ability to accumulate social capital and showing its effect on the creation and transfer of knowledge. We posited that social capital was the mediating factor between KMS and knowledge creation and transfer and hypothesized that: (1) KMS will positively affect an organization's ability to build social capital, and that (2) social capital will enhance a firm's ability to create and transfer knowledge. Qualitative data collected from a multinational IT consulting firm was used to validate the framework.     

低碳经济时代的建筑之道

低碳建筑是营造可持续发展未来的关键。本文通过对低碳建筑的全面分析以及对全球知名的设计实例的分析,探讨适应低碳经济时代的建筑发展的方向、目标,指出低碳建设和设计要走向集约型、走向自然、走向效率设计、走向适应性设计、走向循环设计、走向智能化设的发展途径,以及低碳建筑未来的发展方向。