基于Annotation的Spring事务应用设计

讲解Spring的事务实现技术,讨论Spring中事务的两种实现方式。通过同一个案例阐述了在Spring中对XML配置来实现事务和使用了Annotation实现事务,比较了两种实现方式的优缺点。在Spring使用Annotation实现事务作出总结,从而体现使用Annotation实现事务简洁性和良好的扩展性。     

基于Annotation的Spring AOP系统设计

简要介绍AOP(Aspect Oriented Programming)技术和Annotation技术,讨论了Spring中的AOP的两种实现.通过同一个案例阐述了在Spring中通过XML配置来实现AOP和使用了Annotation在Spring中实现AOP,比较了两种实现方式的优缺点.对在Spring使用Annotation实现AOP作了总结,从而体现了Annotation在设计系统时其简洁性和良好的扩展性.     

基于施耐德67160CPU实现报表功能的方法探讨

在监控系统中,报表功能作为重要的管理功能之一,其实现方法大多局限于上位机中实现。本文基于下位机实现了配料系统中的计量功能,较好的实现了报表功能。为基于PLC和组态软件为平台实现实时性和可靠性较高的监控系统进行了有意的实践和探索。     

基于Annotation的Spring事务应用设计

该文简要介绍Spring的事务实现技术,讨论了Spring中的事务的两种实现方式。通过同一个案例阐述了在Spring中通过xml配置来实现事务和使用了Annotation实现事务,比较了两种实现方式的优缺点。对在Spring使用Annotation实现事务作了总结,从而体现使用Annotation实现事务简洁性和良好的扩展性。     

基于WEB和RBAC的授权管理子系统设计与实现

随着计算机网络技术的发展,资源共享的程度进一步加强,随之而来的信息系统安全问题也日益突出,在系统中实现基于WEB和RBAC的授权管理子系统是解决该问题的有效途径。本文从设计实现的角度分析了信息系统中基于WEB和RBAC的授权管理子系统的体系结构,探讨了子系统实现的关键技术,并对子系统功能模块的划分与设计进行了说明。特别是,在实现的关键技术中,重点讨论了如何利用COM技术来实现子系统的安全机制。     

GPS车辆监控系统中串行总线接口设计与实现

通过在车载模块中实现GPS接收模块和GPRS通讯模块,在控制中心接收模块中实现GPRS通讯模块与USB模块的接口通讯,可有效地实现控制中心、车载终端和GPRS无线网络的通讯,达到及时监控和管理车辆的目的。本文详细介绍了GPS车辆监控系统中串行总线USB接口的设计和实现,为GPS民用化打下了基础,具有广阔的市场前景。     

计算机网中虚电路的实现

本文定义了在计算机网络中实现虚电路服务的网络环境和主要进程,并描述了这些进程的实现方法。最后,给出了虚电路中实现这些进程的程序框图。     

中小企业网络中VPN的实现

对在中小企业网络中实现VPN进行了研究,提出一种高效而廉价的实现方法。具体阐述了在LINUX系统中如何实现VPN技术,提供了服务器的创建方法和防火墙的设置技巧。对中小企业利用VPN技术实现内网的灵活访问具有极大的参考意义。     

无中断向量重定位单片机中实现IAP和APP中断的方法

独创了一种基于RAM中转的中断跳转方法,该方法以软件形式实现了单片机的中断向量重定位功能,实现了在应用中编程,克服了某类普通经济型单片机无法通过硬件寄存器设置中断跳转地址来实现跳转的局限性,使得这类单片机也能在同一片Flash内运行IAP和APP并相互跳转,大大拓展了实用性。采用某国产单片机(SWM240)实现了IAP和APP部分,并在生产实际中得到检验。     

实时视频数据采集的FPGA实现

介绍一种在工矿监视系统中采用FPGA实现视频数据实时采集和显示的设计方案。系统中采用FPGA和视频解码器实现了高速连续的视频数据采集与处理。处理后的视频信号通过VGA格式转换,可以在现场VGA显示器上观看,也可以通过键控将数据存储在存储介质中,从而实现了实时视频监视。     

Analytics Capabilities and the Decision to Invest in Analytics

The increasing use of data-driven decision making and big data is leading organizations to invest in analytics software and services. However, little is known about the type of analytics capabilities within IT that are required and whether there is a common progression or development model of analytics capabilities. Also unknown is how the level of analytics capabilities and other factors influence a firm’s decision to invest in analytics. The purpose of this research is to explore the relationships between levels of distinct analytics capabilities and to understand how they and other factors influence the analytics investment decision. The findings suggest that there is a distinct progression in the development of analytics capabilities, and that firm size is associated with increased capability. The results suggest that firms more likely to invest in analytics have higher current levels of specific analytics capabilities, are larger, and are located in less-competitive industries.     

决策树算法在股票分析与预测中的应用

牛市的开始吸引了股民蜂拥而至,为了保护投资者权益,帮助投资者进行理性投资。文章提出了从技术的角度分析股票交易数据。采用二叉决策树的方法对庞大的交易数据进行挖掘,根据决策树获取的分类规则,基本上能预测单支股票在一段时间内走势,能有效的帮助投资者进行理性投资。     

Big Data Initiatives: Minimizing Risk and Maximizing Value with Governance

Abstract

Big Data Analytics can be a fantastic business opportunity for many organizations. Already organizations are using advanced analytics to streamline production processes, optimize back office activities, market more effectively, and better satisfy customer demand. That said, it goes without saying (as recent headlines can attest) that sometimes enhanced analytics capabilities can introduce risks such as erosion of privacy, overly-intrusive knowledge about customers, etc.

Given this dichotomy, making the decision about when, whether, how much, and how to invest in big data analytics initiatives can be a challenge. Invest too soon and you may obviate existing investments or disrupt business activities; invest too late and you may find that competitors gain advantages that make the market landscape asymmetric.

This article outlines how and why applying “tried and true” governance principles can help make this decision easier. For those that have formalized governance structures in place, how they might inform the decision an organization makes in this regard – and for those that don’t have a formalized governance program – how they might co-opt some of those principles to help make this decision more approachable.     

Between death and life - a formal decision model to decide on customer recovery investments

As digitization supports customers in gaining increased market transparency (Desai Hastings Law Journal, 65(6), 1469–1482, 2014), migrating from one organization to another (“customer migration”) is becoming easier and more attractive. Thus, taking measures to regain customers who terminated their relationship (“customer recovery”) has become increasingly important for organizations. With the growing importance of customer recovery in present times, organizations face even more challenges pertaining to risk of making wrong investment decisions. Organizations can either mistakenly invest in customer relations that are “alive” or irretrievably “dead.” Furthermore, it has the risk of not investing in inactive customer relations that have a chance to be revived (“dying”). Consequently, it is necessary for organizations to consider the probability that a customer relation is “alive,” “dying,” or “dead” when deciding on customer recovery. Based on these probabilities, an economically reasonable decision has to be made on whether to invest in the recovery of an individual customer relationship. Accordingly, based on a comprehensive discussion of related work, we propose a formal decision model on whether to invest in customer relation recovery. To demonstrate the decision model’s applicability, an illustrative case with sample calculation is presented and expert interviews are conducted.     

Disaster Recovery Plans for Computer System Failures: An Empirical Study of the State of Preparedness of American County Government

Information technology has become an invaluable tool for government operations and the ability to interact with the public. However, as dependency on information systems increases, governments become more vulnerable to systems failure or interruption from natural, man-made or political disasters. This paper addresses a number of current issues concerning governments’capability and contingency plan in such disaster cases in order to avoid disruption of public services. The study examined 172 counties and the political, technological and economic factors which shape their decision to invest in recovery strategies. Data derived from this survey is analyzed to identify what variables have most significant impact on the decision as to whether or not to develop a disaster recovery plan.     

A decision model and system for planning and adapting the configuration of enterprise information systems

The decision to invest in an enterprise information system is usually made without taking into account the different types of subsequent decisions and without understanding the hidden implications of making them. This paper presents a decision-making model named DecISIonAl used to evaluate and manage implementation risks on ERP and CRM projects before the actual investment is made. This model was implemented into a web-based system to facilitate configuring, comparing, and selecting implementation plans by evaluating their impact in terms of cost, time, benefits, human resources capabilities, and risks. We apply our decision model to investment case studies in two enterprises. The results show a level of compliance between 80% and 83% when comparing the implications estimated by simulated scenarios and the actual investments.     

A methodology for evaluating computer integrated manufacturing technologies

The decision to invest in advanced manufacturing technology is often made at the strategic level. The technique to be used to justify these decisions should have the ability to incorporate the non-quantifiable, intangible benefits associated with implementing these technologies. Among the methods introduced recently, the linear additive models have received considerable attention. This paper reviews a linear additive method which can be used to evaluate long-term and short-term automation manufacturing investment alternatives. The paper also concentrates on those cases in which some common characteristics of available alternatives are assumed to be independent.     

Investment strategy for flexible capacity considering demand-side disruption risk

This article considers a firm selling two product families and confronting demand-side disruption risk. The firm has the option to invest in dedicated capacities and flexible capacity. To study the optimal investment strategy, we model the firm's decision as a two-stage stochastic programming problem, in which deviation risk is restricted within a certain level. Our analysis provides the necessary and sufficient conditions for the optimal strategy and the threshold policy for the flexible capacity investment. The results in the context of deviation risk constraint are compared with results derived outside of the context of deviation risk constraint. Furthermore, a numerical example is given to depict the optimal investment strategy.     

A fuzzy ANP approach to shipyard location selection

It is the first duty of investors to transform financial resources into investments in the right places at the right times and earn benefits. However, where to invest and how to invest is always a risky and complicated problem. The decision which will be made under a variety of factors might result in a terrible mistake if it is not felicitous. It is necessary to utilize scientific methods when deciding to make these types of complicated investments which can cause large financial losses. Analytical network process (ANP) can show us the best alternative based on different criteria from a variety of alternatives. However, the network structure should model the actual in a very good way. Analytical network process will give us the best result in span after the correctly built network structure’s comparisons are made correctly. It is important to design the structure flexibly in this work in order for it to lead to improvements. Shipyard location is selected in this work which provides reference to investors based on numerical and solid essences. At the end, the study has received a successful application with the help of expert people and the correct fuzzy analytical network process’s success over the criteria which have a close relationship with each other.     

Risk of extreme events via multiobjective decision trees:application to telecommunications

Simultaneous transmission of high-resolution video, digital audio, and data over fiber optic cables is only one of the many new services that the rapidly changing telecommunications industry will soon be providing to users. Currently, federal regulations are restraining telephone companies from entering the video entertainment business, but with the capabilities that technology can provide, their entrance into the market in the long run is inevitable. Telephone companies are facing the decision of whether or not to invest in fiber optic cables in local telephone loops. They also need a way of determining optimal timing for the installation of fiber optic technology in the network. The authors focus on the risks involved in developing an optimal investment plan for expansion of a telecommunications network. This problem is modeled using a multiobjective decision tree where the objective of monetary return from a particular alternative is traded off against the customer satisfaction which that alternative achieves. At each chance node in the decision tree, a continuous probability distribution represents the possible outcomes. To examine the risk of extreme events, the probability distribution is required, rather than only the expected value. To retain all distribution information, a simulation is used to generate a set of Pareto optimal alternatives for various scenarios considered in the model