Enhancing the context-aware FOREX market simulation using a parallel elastic network model

The Journal of Supercomputing - Foreign exchange (FOREX) market is a decentralized global marketplace in which different participants, such as international banks, companies or investors, can buy,...     

Micro Standards: preparing for global participation

The global marketplace demands quicker, cheaper standards development. The preparations by the IEEE standards writing community to ready itself for global participation makes for an exciting and timely topic. Nowhere on this globe is there a single standards-developing body, I believe, that is not reviewing its international relationships. No matter what our country of origin, we all must realize that the customers of our standards systems now require products that can respond to the pressures of the international marketplace. Standards developers can no longer ignore this broader marketplace, any more than can those who buy and sell there. Indeed, it would be harmful, even shameful were we not to capitalize on the tremendous strengths our industry has already demonstrated. For example, here in North America, our industry faces global competition even when only doing business at home; North American borders, for the most part, are transparent to the movement of goods and services from other countries. Thus, the same forces driving the telecommunications and information technologies industries to think globally will drive the rest of industry to do likewise. Our future standards must reflect those realities. We must prepare ourselves, and we must take the lead     

浅谈企业信息安全保障体系建设

该文简要论述了构建企业信息安全保障体系的必要性,明确了信息安全保障体系建设的目标。从信息安全保障体系建设的指导思想入手,分析了企业信息系统面临的各种安全风险;从安全策略、安全管理和安全技术三个方面讨论了如何实现企业信息安全保障体系的建设目标。     

An assessment of strategies for choosing between competitive marketplaces

Traders that operate in markets with multiple competing marketplaces must often choose with which marketplace they will trade. These choices encourage marketplaces to seek competitive advantages against each other by adjusting various parameters, such as the price they charge, or how they match buyers and sellers. Traders can take advantage of this competition to improve utility. However, appropriate strategies must be used to decide with which marketplace a trader should shout. In this paper, we assess several different solutions to the problem of marketplace selection by running simulations of double auctions using the JCAT platform. The parameter spaces of these strategies are explored to find the best performing strategies. Results indicate that the softmax strategy is the most successful at maximising trader profit and global allocative efficiency in both adaptive and non-adaptive markets. The ?-decreasing strategy performs well in adaptive markets, while also showing greater stability in its parameter space than softmax. All marketplace selection strategies outperform the random marketplace selection strategy.     

基于贝叶斯网络的刑事犯罪影响因素研究

我国正处于国际国内形势复杂、人民内部矛盾凸显、刑事犯罪高发的时期,刑侦部门打击刑事犯罪、保护人民生命财产、维护社会稳定的任务更加繁重而艰巨。在这种形势下,探讨影响刑事犯罪的因素,更好地打击刑事犯罪,维护国家的安全和社会的稳定就显得尤为重要。文章采用贝叶斯网络和EM算法来分析影响某地区刑事犯罪的影响因素。给出了影响因素模型,从模型的结果来看,影响该地区的刑事犯罪的因素依次是人的因素、环境因素、犯罪类型因素、犯罪位置因素和交通因素等。研究结果可用于为领导决策提供理论指导和参考。     

Where Will Your E-Commerce Disputes Be Resolved?

E-commerce is becoming an increasingly important factor in world trade. More and more businesses are seeking to become players in the global marketplace by advertising and selling their goods and services on the World Wide Web. Internet selling enables businesses, particularly small- and medium-sized enterprises (SMEs), to gain access to an international market. As a consequence, these businesses can find themselves selling to consumers in almost any country in the world. Many SMEs would not otherwise have the resources to enable them to compete with major multinational players.     

Model for Facilities or Vendors Location in a Global Scale Considering Several Echelons in the Chain

The facilities location problem for companies with global operations is very complex and not well explored in the literature. This work proposes a MILP model that solves the problem through minimization of the total logistic cost. Main contributions of the model are the pioneer carrying cost calculation, the treatment given to the take-or-pay costs and to the international tax benefits such as drawback and added value taxes in Brazil. The model was successfully applied to a real case of a chemical industry with industrial plants and sales all over the world. The model application recommended a totally new sourcing model for the company.     

Internet Gambling

With the increase in crime that Internet gambling poses, a greater incidence of addiction by users and the problem of policing a global electronic marketplace, enforcement agencies need to be aware of measures that can be applied to counteract the problems Internet gambling, introduces. Since there are no outright legal or technological fixes to prevent the growth in Internet gambling what can enforcement authorities do?     

A multifactor model for international plant location and financing under uncertainty

This paper presents a model for analyzing international plant location and financing decisions under uncertainty. The model diverges from the usual plant location problem in that location and financing decisions are considered simultaneously. This approach is necessary since subsidized financing as well as preferential tax treatment can be significant influences on international location decisions. In addition, financing in different currencies can be used to hedge uncertain price and exchange rate movements.Risk aversion enters via a mean-variance objective function in firm profit. The resulting problem is mixedinteger quadratic and would generally present severe computational difficulties. However, we show that a multifactor approach can be used to transform this problem into one which can be solved fairly readily. The result is a model which is computationally feasible for problems of reasonable size while still including the effects of uncertainty, financial subsidies and hedging strategies on international location decisions. Computational experience is discussed for two solution procedures. One approach uses the quadratic programming package of LINDO coupled to a branch-and-bound procedure. The other approach used a gradient search procedure plus branch-and-bound.     

感知认知技术在金融风险预警中的应用研究

金融风险全球溢出效应与国内金融业态创新发展中的伴生风险相叠加，使得我国所面临的国际金融及内生性金融风险形势非常严峻。针对传统风险预警技术因缺乏有效、及时的关键因子导致实践中对金融风险预警难度极大的技术难题，本文重点总结了如何利用感知认知技术从海量非结构化信息提取有效、及时的金融风险预警关键因子，并在回顾现有金融风险预警模型研究现状的基础上，对相关技术难点和未来研究趋势进行总结和展望。本文研究内容可为我国研发自主可控的金融风险预警技术提供必要参考。     

平面选址问题的引力搜索算法求解

为求解平面选址问题,给出了一种基于引力搜索算法的求解方法。算法利用万有引力定律进行全局搜索,采用一种邻域搜索方法进行局部搜索,实现算法全局优化和局部优化的平衡。通过大量实验和与现有求解方法的比较,结果验证了算法的可行性和有效性。     

Analytical VaR for international portfolios with common jumps

International portfolios which are composed of domestic assets and foreign assets are popular investment tools for financial institutions in highly integrated global financial markets. However, the focus of past studies had been on either domestic assets or foreign assets, but not both in the same context. They paid no attention to the studies of controlling the market risk of the international portfolios in the risk management literature. In contrast to the existing literature in portfolios, this paper considers not only domestic assets but also foreign assets, and provides an analytical value-at-risk (VaR) with common jump risk and exchange rate risk to manage market risk of international portfolios with exchange rate risk and common jumps over the subprime mortgage crisis. In general, the analytical solution can be used to accurately calculate VaRs by the backtesting criterion in terms of in-sample and out-of-sample fitting for an international portfolio with common jumps.     

浅析全球化视野下中国服装行业的调整与发展

世界经济已进入一个全球化竞争和发展的时代,服装行业必然也要参与其中。处于垄断竞争市场中的中国本土服装品牌想要在激烈的竞争中求生,需要经历一系列艰难的产业升级:明确产业结构的调整方向,利用自身优势资源分区域的实施结构调整的措施;加强纺织服装业的科技含量;借鉴国际先进的管理理念及营销模式,进一步扩大品牌的社会影响力和市场占有率,这样才能带来更高的销售额和国际认可度。     

FLEXIBLE MANUFACTURING SYSTEMS

Many existing manufacturing facilities and production methods, unable to satisfy global market needs, have become obsolete. Today's marketplace demands a form of manufacturing that is completely different from traditional operational batch manufacturing systems. More plant managers are accepting and implementing new technologies known as flexible manufacturing systems (FMSs).     

OSs battle in the smart-phone market

Cellular phones are no longer just for making calls. They also function as PDAs, digital cameras, Internet consoles, and e-mail and instant messaging clients. Because of this, the operating systems used in phones have had to improve. This demand for better mobile OSs has changed the nature of the marketplace. And that marketplace is healthy, despite global economic problems, largely because smart-phone sales are increasing.     

FLEXIBLE MANUFACTURING SYSTEMS

Many existing manufacturing facilities and production methods, unable to satisfy global market needs, have become obsolete. Today's marketplace demands a form of manufacturing that is completely different from traditional operational batch manufacturing systems. More plant managers are accepting and implementing new technologies known as flexible manufacturing systems (FMSs).     

Lagrange programming neural networks for time-of-arrival-based source localization

Finding the location of a mobile source from a number of separated sensors is an important problem in global positioning systems and wireless sensor networks. This problem can be achieved by making use of the time-of-arrival (TOA) measurements. However, solving this problem is not a trivial task because the TOA measurements have nonlinear relationships with the source location. This paper adopts an analog neural network technique, namely Lagrange programming neural network, to locate a mobile source. We also investigate the stability of the proposed neural model. Simulation results demonstrate that the mean-square error performance of our devised location estimator approaches the Cramér–Rao lower bound in the presence of uncorrelated Gaussian measurement noise.     

To compete or to take over? An economic analysis of new sellers on e-commerce marketplaces

The rise of e-commerce has inspired entrepreneurs to start their businesses online. E-commerce platforms, such as eBay, Amazon Marketplace, and Taobao, feature low barriers of entry to their sellers, as there is very low cost involved in entering an online marketplace and becoming a seller. In the meantime, we observe that many sellers choose to incur a much higher cost and enter the marketplace by taking over an existing seller’s account. We identify an interesting problem faced by entrants to online marketplaces: should they enter as new or should they take over another seller? Entrants’ decisions are complicated by several factors, including the reputation of the existing seller, the entrant’s capability, and the information asymmetry between the entrant and the incumbent. We develop an economic model to study the interactions between an entrant and an incumbent in an e-commerce marketplace. We discover that reputation plays an important role in the entrant’s competition-takeover decision. Our findings carry useful insights for e-commerce platforms in understanding the impact of entrants on the existing community of sellers.     

基于RSSI&DFP的无线传感器网络声源目标定位算法

声源目标定位是无线传感器网络应用研究的一个重要问题,如何在传感器节点随机分布的条件下对目标进行快速定位,并保证较高的定位精度是定位问题的一个难点,基于二维空间中声音信号传播时的能量强度指示( RSSI)将声源目标的定位问题转化为似然函数的最优化问题,利用最优化理论中的DFP方法求出目标位置的全局最优解.仿真结果表明,算...     

US domestic extremist groups on the Web: link and content analysis

Although US domestic extremist and hate groups might not be as well-known as some international groups, they nevertheless pose a significant threat to homeland security. Increasingly, these groups are using the Internet as a tool for facilitating recruitment, linking with other extremist groups, reaching global audiences, and spreading hate materials that encourage violence and terrorism. A study of semiautomated methodologies to capture and organize domestic extremist Web site data revealed interorganizational structures and cluster affinities that coincided with both domain expert knowledge and earlier manual research.