A new multiscale decomposition ensemble approach for forecasting exchange rates

Due to the high complexity and strong nonlinearity nature of foreign exchange rates, how to forecast foreign exchange rate accurately is regarded as a challenging research topic. Therefore, developing highly accurate forecasting method is of great significance to investors and policy makers. A new multiscale decomposition ensemble approach to forecast foreign exchange rates is proposed in this paper. In the approach, the variational mode decomposition (VMD) method is utilized to divide foreign exchange rates into a finite number of subcomponents; the support vector neural network (SVNN) technique is used to model and forecast each subcomponent respectively; another SVNN technique is utilized to integrate the forecasting results of each subcomponent to generate the final forecast results. To verify the superiority of the proposed approach, four major exchange rates were chosen for model comparison and evaluation. The experimental results indicate that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach outperforms some other benchmarks in terms of forecasting accuracy and statistical tests. This demonstrates that our proposed VMD-SVNN-SVNN multiscale decomposition ensemble approach is promising for forecasting foreign exchange rates.     

The evolution of world trade from 1995 to 2014: A network approach

This paper employs network analysis to study world trade from 1995 to 2014. We focus on the main connective features of the world trade network (WTN) and their dynamics. Results suggest that countries’ efforts to attain the benefits of trade have resulted in an intertwined network that is increasingly dense, reciprocal, and clustered. However, these features do not correspond to a linear aggregation of the characteristics of its constituents (trade sectors). Trade linkages are distributed homogeneously among countries, but their intensity (i.e. their value) is highly concentrated in a small set of countries. The main connective features of the WTN were not affected by the 2007–2008 international financial crisis. However, we find that the crisis marks a turning point in the evolution of the WTN from a two-group (led by the US and Germany) to a three-group (led by the US, Germany, and China) hierarchical structure.     

Platform selection by software developers: Theory and evidence

This paper analyzes platform selection (affiliation) by game developers in the Japanese home video game industry. We develop an elementary model of affiliation by software developers and propose the hypothesis that wider availability of game titles for a platform positively inclines game developers to affiliate with that platform when releasing new game titles. Then, using data for Japan, we estimate a multinomial logit model that includes both the attributes of game developers and the characteristics of platforms, and find evidence supporting this hypothesis. Overall, the findings suggest that game developers expect the indirect network effect to apply, and the prospect of future growth matters to them when deciding with which platform to affiliate.     

别让IT运维成为中小企业迈向国际化的“包袱”

随着中国改革开放的不断深入,中国加入WTO,国内中小企业如雨后春笋般的发展起来,甚至已经将公司开到了国外,为新中国的经济腾飞做出了不可磨灭的贡献,期间IT系统在规范管理、提升工作效率方面起到了应用的作用。但随着企业规模的不断扩大,分公司越来越多,地域间隔越来越远,IT系统运维正变得空前困难。鉴于此,本文将着重介绍如何利用新技术降低IT运维成本,提升运维效率。     

ROFIBUS现场总线在彩涂板生产线中的研究与实践

现今,我国的彩色涂层钢板的生产已经有了一定的发展,但是其生产水平还是比较低下,不能满足现代社会产业发展理念的需求,不能满足低碳发展、可持续发展的价值理念,PROFIBUS现场总线技术在生产中极大地满足了企业对彩涂板生产的需求。     

高职院校教学质量监督和保障体系的研究与实践

本论文通过对南京化工职业技术学院教学质量监控和保障体系的研究、构建与实施,并通过网络信息技术使体系的运行更顺利、便捷和高效,增强了教学质量监控和保障体系的针对性、可操作性,做到保障有方向、投入有重点、建设有力度、完善有策略,确保教学质量保障建设有理、有据、有序进行。     

基于融资行为的中小企业社会信任网络构建

中小企业社会信任网络的多层次性与其融资的可获得性有着密切的关系。通过社会信任网络解决中小企业内生资源不足问题，利用网络内含的默契、惯例、信任以及惩罚机制，构建以融资效率为核心的中小企业社会信任网络，有助于改善中小企业融资环境，消除中小企业融资障碍，提高中小企业融资效率。     

Revealing travel patterns and city structure with taxi trip data

Delineating travel patterns and city structure has long been a core research topic in transport geography. Different from the physical structure, the city structure beneath the complex travel-flow system shows the inherent connection patterns within the city. On the basis of taxi-trip data from Shanghai, we built spatially embedded networks to model intra-city spatial interactions and to introduce network science methods into the analysis. The community detection method is applied to reveal sub-regional structures, and several network measures are used to examine the properties of sub-regions. Considering the differences between long- and short-distance trips, we reveal a two-level hierarchical polycentric city structure in Shanghai. Further explorations of sub-network structures demonstrate that urban sub-regions have broader internal spatial interactions, while suburban centers are more influential on local traffic. By incorporating the land use of centers from a travel-pattern perspective, we investigate sub-region formation and the interaction patterns of center–local places. This study provides insights into using emerging data sources to reveal travel patterns and city structures, which could potentially aid in developing and applying urban transportation policies. The sub-regional structures revealed in this study are more easily interpreted for transportation-related issues than for other structures, such as administrative divisions.     

高校网络管理与防护工作的优化设计与研究

随着湖北省教育信息化建设试点改革工作的深化,各院校信息化程度不断提升,也赋予了校园网络平台新的要求。这不仅在考验着现有的网络架构与设备,也对软件控制与资源共享技术提出了新的要求,其建设核心基本汇聚于庞大数量级的设备整合与终端控制。基于校园网络一体化硬件基础,通过开发可视化控管软件可基本解决这一难题,从而实现校园网络集中控制与防护。     

浅谈高职院校网络平台的现状与发展趋势

现代信息技术的发展和远程教育信息化进程的迅速推进,给高等教育的学习环境带来了巨大的影响,每个高等学校都面临着如何利用先进的多媒体技术和网络技术来改进传统单一的教育、教学方法,创建适合学生学习特点的多样化教育,建立新型的教学模式这一普遍问题。本文浅谈了高职院校网络教学平台的现状,讲述了平台建设应重点关注的四个方面,并阐述了下一步高职院校网络环境下教学平台的发展趋势。