It's the Thought that Counts: The Mediating Effects of Information Processing in Virtual Team Decision Making

Abstract

Previous research shows that although collaboration technology can improve the exchange of information during team decision making, one of the challenges is that this better discussion often does not lead to better decisions. In this paper, we investigate the impact of individual information processing on team decision making. We investigated the effects of two types of collaboration technology when participants were either the member of a team majority or a team minority. There was little impact due to the majority/minority, but the use of collaboration technology that required users to categorize the comments they received from others resulted in increased information processing, which in turn led to better decisions and more satisfied participants.     

An Empirical Assessment of IT Governance Transparency: Evidence from Commercial Banking

We have developed an IT governance disclosure framework to examine how firms communicate their IT governance activities. Using this framework for a sample of 200 commercial banking firms, our empirical assessment indicates that differences in the level of disclosure are systematically related to differences in institutional settings. We also find that firms with relatively good corporate governance practices consider IT performance measurement matters to be highly important when informing and communicating with shareholders.     

Application Development Productivity Tools: A Survey Of Importance and Popularity

Application development productivity is becoming an increasingly important issue in the MIS department. Unfortunately, dramatic improvements in hardware performance have not been matched with corresponding advances in software development, even though there have been significant investments in productivity tools. This article identifies a range of productivity tools and presents results from a survey of MIS managers that reveals which specific tools are being used and their relative importance to software development productivity.     

以可靠性为中心的水轮机组检修模式研究

以可靠性为中心(RCM)的维修模式是在一般视情维修的基础上,吸收以可靠性为中心的维修分析法的优点,充分考虑到经济性、可靠性原则,并与先进的设备诊断技术相结合的一种维修模式。介绍了水轮机组RCM维修模式,重点分析了根据经济性和可靠性原则分别确定隐患检测间隔期,以及用威布尔分布拟合机组零部件故障间隔时间分布的表示及参数的获得。     

基于雷达散射特征的堤防隐患诊断技术研究

结合堤防隐患的雷达散射特性,研究了不同堤防隐患在雷达波散射效应下的特征表现,分析 了空洞、渗透、松散体、滑坡、裂缝、漏水等堤防隐患的雷达图谱。研究表明:堤防隐患的成像效果 依赖于雷达设备的技术指标、测量参数和操作方法等因素,隐患图像解释的准确性依赖于图像处理技 术。针对不同堤防隐患和设备物理参数,研究雷达波的散射特征,有助于更高精度地解析图像信息, 是解决雷达波干扰多、衰减快、特征弱等问题的有效途径。结合雷达波的形态、波长、振幅、相位等 特征信息,在对散射信号进行解释时采用二维时频分析的瞬态谱,并运用小波分析、Hilbert变换、Z 变换等方法对图像进行去噪、增强、滤波处理,可对堤身探测范围内的隐患性状、分布、形态信息进 行有效诊断。     

600MW机组“防非停”热工系统优化改造

通过对江苏国信扬州发电有限责任公司热工系统中各个环节进行隐患排查,对相关控制系统、逻辑、现场元件进行优化整改,完善了热工系统,降低了机组非计划停运的可能性,保证了机组安全、稳定运行。     

基于模糊灰度共生矩阵与隐马尔可夫模型的断口图像识别

纹理通常由空间分布和灰度分布共同描述,灰度共生矩阵(GLCM)能兼顾二者,故广泛应用于纹理分析中。在计算GLCM时,为降低其维数,需对纹理图像进行灰度量化,这必然丢失部分图像信息。灰度量化时,由灰度值与量化区间中心值的不同距离,构造出相应的模糊隶属度函数,并定义了模糊灰度共生矩阵(FGLCM)。通过对断口图像FGLCM的14个特征统计量进行相关性分析,选择角二阶矩和熵等7个统计量作为特征参数,并验证了其有效性。最后,在4类典型断口图像的特征空间上,采用隐马尔可夫模型(HMM)进行分类识别。实践表明,FGLCM比已有的GLCM能更好地表征断口特性,且在HMM状态数为3时,断口分类的平均识别率可达98%。     

基于启发式行为监测的手机病毒防治研究

快速发展的移动通信技术给人们带来新的应用和服务的同时,也吸引了手机病毒的攻击。本文总结了手机病毒的传播途径和共有特性,比较现有的防毒技术,结合手机的特点,提出一种基于启发式行为监测的手机病毒防治技术,采用隐马尔科夫模型启发式分析程序的行为,以阻止病毒的恶意行为,保护手机安全。     

A new approach based on a discrete hidden Markov model using the Rocchio algorithm for the diagnosis of heart valve diseases

Abstract: Application of the Doppler ultrasound technique in the diagnosis of heart diseases has been increasing in the last decade since it is non‐invasive, practicable and reliable. In this study, a new approach based on the discrete hidden Markov model (DHMM) is proposed for the diagnosis of heart valve disorders. For the calculation of hidden Markov model (HMM) parameters according to the maximum likelihood approach, HMM parameters belonging to each class are calculated by using training samples that only belong to their own classes. In order to calculate the parameters of DHMMs, not only training samples of the related class but also training samples of other classes are included in the calculation. Therefore HMM parameters that reflect a class's characteristics are more represented than other class parameters. For this aim, the approach was to use a hybrid method by adapting the Rocchio algorithm. The proposed system was used in the classification of the Doppler signals obtained from aortic and mitral heart valves of 215 subjects. The performance of this classification approach was compared with the classification performances in previous studies which used the same data set and the efficiency of the new approach was tested. The total classification accuracy of the proposed approach (95.12%) is higher than the total accuracy rate of standard DHMM (94.31%), continuous HMM (93.5%) and support vector machine (92.67%) classifiers employed in our previous studies and comparable with the performance levels of classifications using artificial neural networks (95.12%) and fuzzy‐C‐means/CHMM (95.12%).     

IT governance for enterprise resource planning supported by the DeLone–McLean model of information systems success

I investigated the role of IT governance in driving the success of ERP projects. The tool for assessing ERP value was a comprehensive, multivariate and validated model adapted from the widely used Delone and McLean model of IS success. This showed that ERP investments were more effective in organizations having an IT governance domain consisting of proactive strategic guidance and participatory team building. Large enterprises, however, under-performed compared to SMEs and needed specific performance drivers, such as top management commitment to become effective.