电力工程投标风险分析与控制

投标作为施工企业经营活动的起点,对企业效益起着决定性的影响。在激烈的市场竞争环境下,投标的风险越来越大,对投标风险的认识显得更加重要,对投标过程风险的防范和控制尤为重要。施工企业只有在投标过程中加强风险管理,才能有效规避风险,降低风险损失,提高企业效益。     

补偿模糊神经网络在故障树分析中的应用研究

将补偿模糊神经网络用于故障树分析中的研究,建立了故障树顶事件失效模糊概率计算的补偿模糊神经网络模型,给出了应用实例.结果表明,将补偿模糊神经网络用于故障树分析是可行的,其计算更为方便,结果更为精确.     

基于TOPSIS法的西部地区工业经济效益比较分析

西部地区工业经济效益需要采用适当的指标分析方法加以衡量,以反映西部地区工业经济发展情况.本文运用Topsis法对西部地区12省份工业经济效益指标(2004年)进行了选取、计算,得出相应结果,最后对西部地区12省份的工业经济发展状况进行了排序和综合评价.     

银行卡业务分析系统设计

通过分析银行业务系统现状,提出建立卡业务分析系统的设计数据来源、数据模型分析和数据库设计,并提出了分析系统应具备的功能.     

临沂矿业集团邱集煤矿创新管理的实践与启示

结合临沂矿业集团邱集煤矿实际,从技术装备、安全管理、教育培训、安全文化等四个方面对该矿创新管理的实践进行分析,并从中得到启示.     

江苏区域旅游游客满意度评价研究

游客满意是旅游市场竞争力的来源,是稳定规模化游客流的根本动力.运用灰色系统中灰色关联分析法,从交通、旅游景区(点)、购物、环境卫生、住宿、餐饮、娱乐、门票价格、导游讲解服务9个要素入手构建评价指标体系,以江苏12个省辖市为例,对游客满意度进行综合评价,揭示影响游客满意度众多指标之间关系的强弱,对12市游客满意度的优势劣势分析,并进行排序,得出江苏区域旅游游客满意度4个层次:镇江、扬州满意度最高,苏州、常州次之,南京、无锡、徐州、南通为第三层次,泰州、盐城、连云港和淮安最低。     

Cooperative Sensor Anomaly Detection Using Global Information

Sensor networks are deployed in many application areas nowadays ranging from environment monitoring, industrial monitoring, and agriculture monitoring to military battlefield sensing. The accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network. Therefore, this work is motivated to propose approaches that can detect and repair erroneous (i.e., dirty) data caused by inevitable system problems involving various hardware and software components of sensor networks. As information about a single event of interest in a sensor network is usually reflected in multiple measurement points, the inconsistency among multiple sensor measurements serves as an indicator for data quality problem. The focus of this paper is thus to study methods that can effectively detect and identify erroneous data among inconsistent observations based on the inherent structure of various sensor measurement series from a group of sensors. Particularly, we present three models to characterize the inherent data structures among sensor measurement traces and then apply these models individually to guide the error detection of a sensor network. First, we propose a multivariate Gaussian model which explores the correlated data changes of a group of sensors. Second, we present a Principal Component Analysis (PCA) model which captures the sparse geometric relationship among sensors in a network. The PCA model is motivated by the fact that not all sensor networks have clustered sensor deployment and clear data correlation structure. Further, if the sensor data show non-linear characteristic, a traditional PCA model can not capture the data attributes properly. Therefore, we propose a third model which utilizes kernel functions to map the original data into a high dimensional feature space and then apply PCA model on the mapped linearized data. All these three models serve the purpose of capturing the underlying phenomenon of a sensor network from its global view, and then guide the error detection to discover any anomaly observations. We conducted simulations for each of the proposed models, and evaluated the performance by deriving the Receiver Operating Characteristic (ROC) curves.     

广东省普通高校大学生网球运动开展现状分析与对策研究

本文针对广东省普通高校大学生网球运动发展的现状，以广东省普通高校体育部主任、网球教师、网球教练、队员、学生以及有关的专家为调查对象。运用文献资料法、问卷调查法、访谈法、座谈法、观察法、数理统计法与理论分析法等对广东省普通高校大学生网球运动开展的现状进行调查研究，并提出建议，为广东省普通高校大学生网球运动的健康发展提供依据。     

“学导式”与电教巧结合法突破重难点的探索和实践

一堂课的成败,整个教学的得失,关键就在于是否处理好教材中突出重点,突破难点,释化疑点这一问题。教学重点是教材中起关键作用、主要作用并具有现实意义的知识内容,或者说某知识点在某课、节、框中最基本、最重要的原理。思想政治课的教学重点是指在整个教学内容中,具有决定作用的基本理论观点和德育课题。从教材体系看,它占有重要地位;从当前形势和学生的思想实际看,它是不容忽视的。教学难点,一般说来是因为某个知识点或环节比较抽象,不易理解,且知识面广而深的问题;有的是知识内容相近、相似而容易引起混淆的问题;教学重点和难点有时是重合的。由于教材的重、难、疑点在整个教学中所处的地位,所以教师要探讨和把握突出重点、突破难点、释化疑点的教学方法,才能使思想政治课真正地活起来。     

浅谈液压辅助元件的故障分析与解决措施

本文通过重点分析液压系统辅助元件在工作状态下出现的常见故障,并对其典型故障提出具有针对性的解决措施。