Adopting organizational virtualization in B2B firms: An empirical study in Singapore

We empirically tested a parsimonious model that incorporates cost-benefit analysis/transaction cost theory, institutional theory, and organizational capability-based theory to predict organizational adoption of IT-facilitated virtualization in an Asian context. Virtualization implies the use of IT and communication technology by organizations in managing their interactions and key business operations with stakeholders, such as customers, suppliers and employees. Our research extends existing literature by using organizational structure adoption theories. The study should provide insights into the salient adoption issues of Asian firms. A survey was conducted of B2B organizations in Singapore. Results indicated that an increase in the level of net perceived benefits, external influences, and organizational capabilities had a positive effect on organizational decision makers’ intention to use virtualization. In particular, external influences were found to be the most important antecedents of intention to adopt virtualization in B2B organizations in Singapore.     

The solution and duality of imprecise network problems

Duality properties have been investigated by many researchers in the recent literature. They are introduced in this paper for a fully fuzzified version of the minimal cost flow problem, which is a basic model in network flow theory. This model illustrates the least cost of the shipment of a commodity through a capacitated network in terms of the imprecisely known available supplies at certain nodes which should be transmitted to fulfil uncertain demands at other nodes. First, we review on the most valuable results on fuzzy duality concepts to facilitate the discussion of this paper. By applying Hukuhara’s difference, approximated and exact multiplication and Wu’s scalar production, we exhibit the flow in network models. Then, we use combinatorial algorithms on a reduced problem which is derived from fully fuzzified MCFP to acquire fuzzy optimal flows. To give duality theorems, we utilize a total order on fuzzy numbers due to the level of risk and realize optimality conditions for providing some efficient combinatorial algorithms. Finally, we compare our results with the previous worthwhile works to demonstrate the efficiency and power of our scheme and the reasonability of our solutions in actual decision-making problems.     

科级成本核算及绩效考核系统软件的开发与实现

医院科级成本核算绩效考核系统的开发与实现。建立在规范科学的核算方案之上,为医院各科室提供真实、及时、有效的核算数据报表及成本计划、分析、预测、控制等信息。结果:医院科级成本核算绩效考核系统是医院实施全成本管理的重要技术支撑平台。应用科级成本核算软件,强化了军队医院成本核算管理,取得了较好的效果。     

基于考核、奖罚和班组成本核算的矿山辅助系统的开发与应用

矿山辅助系统集班组成本核算、考核、奖罚为一体,以定额管理为目标,使班组核算及时、科学、有效,成为企业降低成本、提高经济效益的有力助手,不但推动了企业管理的改革,也给企业带来了巨大的经济效益。该文详细阐述该系统开发流程及架构。     

基于类比的软件成本估算及其一种改进方法

基于类比的软件成本估算方法利用相似的历史项目信息来预测目标项目的属性值,具有不需要校准、能够在没有统计关系可以利用的情况下发挥作用等优点。本文在类比估算四个基本步骤的框架下,详细说明了类比估算所必须进行的相关操作,并参照案例推理系统把类比估算过程描述为一个从数据收集、属性选取开始,到估算报告输出、结果重用的循环结构。根据估算实践,提出了针对大数据集的计算优化方法,不仅有效降低了估算过程中的计算量,而且在一定程度上避免了次要因素的影响,提高了估算的可信度。     

采油厂生产调度指挥系统的开发与应用

基于WEB的采油厂生产调度指挥系统,取代了采油厂传统的电话汇报、电话落实的作业方式,实现了生产信息从上报收集、整理、处理、反馈、查询全部信息化,减少了数据差错,大大节约了人工、电话费。同时,为采油厂生产运行量化考核提供准确依据,使得管理者做到奖罚分明,管理工作透明度高,有说服力。由于它配置简单、操作便利、功能实用,受到大家的欢迎,取得了良好的社会经济效益。     

一类约束条件下的跟踪保性能控制

本文研究了一类时变非线性系统在输入有位置约束条件下的跟踪保性能控制问题.首先对非线性对象选择合适的特征运行状况,采用瞬时线性化技术得到多个线性化控制模型,将之看作是一个线性不确定系统,提出应用基于线性矩阵不等式的跟踪保性能控制设计控制器,然后经过推导得到了满足控制约束的充分条件,以定理的形式给出了约束条件下跟踪保性能控制器存在的充分条件.最后给出了仿真算例,仿真结果表明了所提方法的有效性和可行性.     

时变不确定多时滞连续系统的最优保成本控制

针对一类同时具有状态多时滞和输入多时滞的时变不确定连续多时滞系统。研究保成本状态反馈控制器的设计。假定其中的时变不确定性项是范数有界的,但不需要满足匹配条件,通过构造改造的Lyapunov函数和线性矩阵不等式（LMI）方法,给出系统满足保性能指标的一个充分条件,仅通过求解一个相应的线性矩阵不等式,就可得到保性能控制器使得闭环系统的一个保成本函数对所有允许的不确定参数有上界。通过求解凸优化问题得到最优保性能控制器,最后用数值例子说明该方法的有效性。     

基于产生式系统的知识建模

如何建立系统完整的专家知识模型,并将其快速映射为面向计算机推理的人工智能语言是当前专家系统研究的重点和难点,而知识表示是其中的关键.本文将模型驱动的思想引入到专家系统领域,定义了一种基于不确定性产生式知识表示的元模型,设计并实现了相应的图形化建模工具和转换引擎,并基于此提出一种新的产生式系统应用框架.该框架在某健康信息评估专家系统中获得了成功的应用.     

强脉冲噪声环境下的多径衰信道估计

提出一种在强干扰脉冲噪声存在下对无线多径信道进行估计的算法.在无线通信系统中,衰落信道可以采用自回归(AR)模型建模,通过RLS算法和自适应Kalman滤波器分别对AR模型的参数进行估计,但是,这两种算法对噪声干扰非常敏感.为了加快RLS算法的收敛性,并有效抑制大脉冲干扰的影响,在算法的改进中引入了抑制因子,用于对脉冲干扰幅度的抑制.仿真结果显示:相比于传统的算法,改进后的算法在联合估计信道时,提高了抵抗大脉冲干扰的能力,加快了待估参数的收敛速度.