An intelligent service matching method for mechanical equipment condition monitoring using the fibre Bragg grating sensor network

Due to the advantages of being able to function under harsh environmental conditions and serving as a distributed condition information source in a networked monitoring system, the fibre Bragg grating (FBG) sensor network has attracted considerable attention for equipment online condition monitoring. To provide an overall conditional view of the mechanical equipment operation, a networked service-oriented condition monitoring framework based on FBG sensing is proposed, together with an intelligent matching method for supporting monitoring service management. In the novel framework, three classes of progressive service matching approaches, including service-chain knowledge database service matching, multi-objective constrained service matching and workflow-driven human-interactive service matching, are developed and integrated with an enhanced particle swarm optimisation (PSO) algorithm as well as a workflow-driven mechanism. Moreover, the manufacturing domain ontology, FBG sensor network structure and monitoring object are considered to facilitate the automatic matching of condition monitoring services to overcome the limitations of traditional service processing methods. The experimental results demonstrate that FBG monitoring services can be selected intelligently, and the developed condition monitoring system can be re-built rapidly as new equipment joins the framework. The effectiveness of the service matching method is also verified by implementing a prototype system together with its performance analysis.     

Intelligent agents for adaptive security market surveillance

Market surveillance systems have increasingly gained in usage for monitoring trading activities in stock markets to maintain market integrity. Existing systems primarily focus on the numerical analysis of market activity data and generally ignore textual information. To fulfil the requirements of information-based surveillance, a multi-agent-based architecture that uses agent intercommunication and incremental learning mechanisms is proposed to provide a flexible and adaptive inspection process. A prototype system is implemented using the techniques of text mining and rule-based reasoning, among others. Based on experiments in the scalping surveillance scenario, the system can identify target information evidence up to 87.50% of the time and automatically identify 70.59% of cases depending on the constraints on the available information sources. The results of this study indicate that the proposed information surveillance system is effective. This study thus contributes to the market surveillance literature and has significant practical implications.     

Analyst Herding and Stock Price Crash Risk: Evidence from China

We examine the proposition that firms with disproportionately more analysts herding in their coverage, as measured by a larger herding index value, have higher crash risk. Our findings are consistent with the main proposition. The results suggest that information production, rather than monitoring, is the primary mechanism behind the positive relation between herding and crash risk. Our conclusion is robust to different measures of crash risk, crash risk windows, herding measures, subsamples, and instrumental estimation. In addition, using post‐earnings announcement drift, we report that analyst herding slows down bad news transmission in the market. Our findings extend the literature by documenting that analyst herding plays a role in enhancing crash risk. Analyst herding has economic consequences on the covered firms. We offer support for the concern in the literature regarding analyst herding and market fluctuations.     

新农村电网建设探讨

文章首先叙述了当前新农村电网建设情况,接着指出了当前农村电网存在的问题,最后提出了今后新农村电网建设努力的方向.     

浅谈加强交通基础设施建设促进现代物流发展

从当前交通基本建设与物流发展的相互关系影响角度出发,在经济发展过程中交通基本建设的必要性,交通基础设施先行是发展现代物流的基本策略,是发达国家发展现代交通物流的成功经验,也是当前我国发展现代物流的先决必要条件。     

委托代理条件下资本结构与市场竞争强度关系研究

本文从公司金融和产业组织两学科交叉研究的角度,对基于产业组织理论的资本结构研究进行了新的拓展.对已有模型的理论假设进行完善,引入委托代理关系,使得原有的经济模型更加贴近现实.该模型分析表明,委托代理问题不会影响公司的负债水平,即随着管理层持股比例的增加,公司的资本结构不随之改变.同时,委托代理问题对已有的市场竞争强度与资本结构之间的正相关关系也无影响.本文根据中国证监会行业分类,对沪深A股上市公司进行了实证研究,结果与理论模型相一致.     

提升上海民营高科技企业核心技术竞争力的政策激励研究

本文通过政策传播流程,从动态的角度考察探讨上海民营高科技企业核心技术竞争力的政策激励方式;同时,创造性地将政策制定、实行、反馈各关键环节成本化,发现上海民营高科技企业核心技术竞争力政策中存在的问题,并提出激励建议。     

发展服务经济与长三角城市群的产业升级

长三角城市群是我国经济发展水平最高的地区,目前长三角的产业结构已经处于合理化阶段,但是同比世界发达地区的产业结构,还存在一定差距,产业结构面临升级压力。因此,长三角城市群应以服务经济引领产业发展,形成若干各具特色的服务产业群落,通过发展服务经济带动整个地区产业升级。     

物业企业服务质量评价研究

物业服务企业要想获得生存与发展,提高服务质量是其必然选择。因此,服务质量评价不但是业主和物业主管部门的要求,而且更符合物业企业自身发展的需要,但当前物业服务质量评价方法比较简单,理论性和系统性等方面都存在不足。物业企业可结合SERVQUAL模型,构建以业主、物业公司及第三方评价为一体的服务质量的评价模型,从而能比较全面地了解自身的服务质量。     

宋代科技进步对手工业的作用

宋代科技进步在各主要手工行业均有体现,一些主要行业的关键技术往往能带动其他手工业技术取得进步,这不仅有利于提高生产效率、产品质量等生产指标,而且促进专业手工业数量和生产关系的发展。