A Double-Timescale Reinforcement Learning Based Cloud-Edge Collaborative Framework for Decomposable Intelligent Services in Industrial Internet of Things

With the proportion of intelligent services in the industrial internet of things(IIoT)rising rapidly,its data dependency and decomposability increase the difficulty of scheduling computing resources.In this paper,we propose an intelligent service computing framework.In the framework,we take the long-term rewards of its important participants,edge service providers,as the optimization goal,which is related to service delay and computing cost.Considering the different update frequencies of data deployment and service offloading,double-timescale reinforcement learning is utilized in the framework.In the small-scale strategy,the frequent concurrency of services and the difference in service time lead to the fuzzy relationship between reward and action.To solve the fuzzy reward problem,a reward mapping-based reinforcement learning(RMRL)algorithm is proposed,which enables the agent to learn the relationship between reward and action more clearly.The large time scale strategy adopts the improved Monte Carlo tree search(MCTS)algorithm to improve the learning speed.The simulation results show that the strategy is superior to popular reinforcement learning algorithms such as double Q-learning(DDQN)and dueling Q-learning(dueling-DQN)in learning speed,and the reward is also increased by 14%.

Study on the benef its of meteorological services for industries in China

It is very important to analyze and evaluate the benefi ts of meteorological services for policy decision-making and taking precautions against meteorological disasters.In this study,a model for evaluating the benef its of meteorological services for industries is constructed,with the combining method of dose-response and contingency assessment,and also absorbing other countries' experience.According to this model,and referring to the practical value of the contribution of meteorological services to typical enterprises,experts calculated the benef its of meteo-rological services for every industry.By applying this model,and taking the evaluation framework of "to determine which industries are meteorology-sensitive" - "to evaluate the benefi ts of meteorological services" - "to get the total benef its of meteorological service",evaluation and analysis on the total benef its of meteorological services was done with case study.According to this study,the annual mean benef its of meteorological services are known as no less than 279.3 billion yuan(cost excluded) in present national economical environment.

Charging Rate, Imposing and Allowancing Range of Universal Service Fund for Network Industries

Universal service obligation of network industries, such as telecommunication, electric power, post, railway, and aviation, has greatly hampered the progress of their marketization reform. Establishing universal service fund could be an efficient solution. This paper provides a method to calculate the charging rate, imposing and allowancing range of universal service fund for network industries, it also proves the feasibility of accomplishing universal service through universal service fund in network industries.

Use of Component Integration Services in Multidatabase Systems: A Feasible Solution for Integrating Academic Institutions or Commercial Industries

The book chapter is an extended version of the research paper entitled “Use of Component Integration Services in Multidatabase Systems”, which is presented and published by the 13th ISITA, the National Conference of Recent Trends in Mathematical and Computer Sciences, T.M.B. University, Bhagalpur, India, January 3-4, 2015. Information is widely distributed across many remote, distributed, and autonomous databases (local component databases) in heterogeneous formats. The integration of heterogeneous remote databases is a difficult task, and it has already been addressed by several projects to certain extents. In this chapter, we have discussed how to integrate heterogeneous distributed local relational databases because of their simplicity, excellent security, performance, power, flexibility, data independence, support for new hardware technologies, and spread across the globe. We have also discussed how to constitute a global conceptual schema in the multidatabase system using Sybase Adaptive Server Enterprise’s Component Integration Services (CIS) and OmniConnect. This is feasible for higher education institutions and commercial industries as well. Considering the higher educational institutions, the CIS will improve IT integration for educational institutions with their subsidiaries or with other institutions within the country and abroad in terms of educational management, teaching, learning, and research, including promoting international students’ academic integration, collaboration, and governance. This will prove an innovative strategy to support the modernization and large expansion of academic institutions. This will be considered IT-institutional alignment within a higher education context. This will also support achieving one of the sustainable development goals set by the United Nations: “Goal 4: ensure inclusive and quality education for all and promote lifelong learning”. However, the process of IT integration into higher educational institutions must be thoroughly evaluated, identifying the vital data access points. In this chapter, Section 1 provides an introduction, including the evolution of various database systems, data models, and the emergence of multidatabase systems and their importance. Section 2 discusses component integration services (CIS), OmniConnect and considering heterogeneous relational distributed local databases from the perspective of academics, Section 3 discusses the Sybase Adaptive Server Enterprise (ASE), Section 4 discusses the role of component integration services and OmniConnect of Sybase ASE under the Multidatabase System, Section 5 shows the database architectural framework, Section 6 provides an implementation overview of the global conceptual schema in the multidatabase system, Section 7 discusses query processing in the CIS, and finally, Section 8 concludes the chapter. The chapter will help our students a lot, as we have discussed well the evolution of databases and data models and the emergence of multidatabases. Since some additional useful information is cited, the source of information for each citation is properly mentioned in the references column.

Towards a Climate Service for the Tea Industry:A Collaborative Approach between the UK and China

Tea is an important global commodity,with important tea-growing regions spanning across South America,Africa,and Asia,and burgeoning smaller-scale and artisanal tea production in the UK and Europe.In each of these regions,the quality and quantity of tea production,with their economic and social consequences,are highly sensitive to variations in the climate on both short-term weather,seasonal and climate change timescales.The provision of tailored climate information in a timely and accessible manner through the development,delivery and use of climate services can help tea-farmers and other relevant stakeholders better understand the impacts of climate variability and climate change on decision-making and a range of adaptive actions.This paper presents an overview of the Tea-CUP project(Co-developing Useful Predictions),a joint initiative between UK and Chinese partners,which aims to develop and implement solutions for improving robust decision-making.Co-production principles are core,ensuring that the resultant climate services are usable and useful;users'needs are met through close engagement and joint research and decision-making.The paper also reports on the exchange of knowledge and experiences,such as between tea growers in China and the UK,which has resulted from this collaborative work,fostering global knowledge sharing,enriching understanding,and driving innovation by integrating diverse perspectives and expertise from different countries.This is an unintended but valuable side-effect of the collaborative approach taken and highlights the benefits of a highly relational and multidisciplinary approach to climate services development that will inform future work in the field.

The research on the operating models of public service platform of the Hubei province key-developing industrial clusters

Public service platform of industrial cluster includes Industry Association, Guarantee Agency, Productivity Center, R＆D Center, Inspection and Test Center, Training Institutions, Product Center and Professional Market, etc. By case study in Hubei province, local government and leading enterprises, they are the major part of public service platform constructing of industrial cluster.

Construction and Implementation of Multi Collaborative Service Platform Based on Industrial Competitive Intelligence

With the economic globalization and the increasingly fierce industrial competition at home and abroad, the importance of industrial competitive intelligence service is becoming increasingly prominent. Under the policy background of cooperation and sharing, pluralistic coordination has become a new trend in regional economic development. The multi collaborative online service platform of industrial competitive intelligence is jointly constructed by all service subjects. The platform is guided and promoted by the government. Colleges and universities provide support for industrial competitive intelligence theory and professionals, scientific research institutes provide talent and advanced technology support, industry associations are responsible for dynamic monitoring of industrial development, and profit-making institutions are responsible for supplementing industrial competitive intelligence achievements. All service subjects integrate and explore existing intelligence resources and services through the unified online industrial competitive intelligence sharing platform, so as to realize benign cooperation, collaborative management, resource integration, user integration and service integration among subjects, so as to realize multiple collaborative services of industrial competitive intelligence.

Edge Cloud Selection in Mobile Edge Computing(MEC)-Aided Applications for Industrial Internet of Things(IIoT)Services

In many IIoT architectures,various devices connect to the edge cloud via gateway systems.For data processing,numerous data are delivered to the edge cloud.Delivering data to an appropriate edge cloud is critical to improve IIoT service efficiency.There are two types of costs for this kind of IoT network:a communication cost and a computing cost.For service efficiency,the communication cost of data transmission should be minimized,and the computing cost in the edge cloud should be also minimized.Therefore,in this paper,the communication cost for data transmission is defined as the delay factor,and the computing cost in the edge cloud is defined as the waiting time of the computing intensity.The proposed method selects an edge cloud that minimizes the total cost of the communication and computing costs.That is,a device chooses a routing path to the selected edge cloud based on the costs.The proposed method controls the data flows in a mesh-structured network and appropriately distributes the data processing load.The performance of the proposed method is validated through extensive computer simulation.When the transition probability from good to bad is 0.3 and the transition probability from bad to good is 0.7 in wireless and edge cloud states,the proposed method reduced both the average delay and the service pause counts to about 25%of the existing method.

An Empirical Research of Producer Services＇ Cluster Development To Regional Industrial Structure Optimization And Upgrading --Based on the Research of 16 central cities＇ Panel Data in Yangtze River Delta

Based on the 16 central cities＇ Panel Data in Yangtze River Delta, location quotient index is used in this paper to measure and analyze the current cluster situation of producer services in Yangtze River Delta, fixed effects model of Panel Data model is also used in this paper, and the industrial structure is taken as the dependent variable, while the core explanatory variables is the degree of producer services＇ cluster development, which is calculated by location quotient, moreover, three control variables introduced in this paper and they are technology advantage, education level and R＆D spending, and the mentioned above is to empirically study the impacts of producer services＇ cluster development to the regional industrial structure. As a result, producer services＇ cluster development has a significant positive role in promoting the regional industrial structure optimization and upgrading, though the extent is not yet a big push and is still to be further strengthened. In this paper, it has provided a strong evidence that under China＇ s new normal economy, producer services is badly needed to promote regional industrial structure, and finally it makes specific suggestions based on the current cluster situation of producer services in Yangtze River Delta.

Library's industrial technology information service in science parks—Taking NSL's practice as an example

Purpose:The purpose of this paper is to explore how libraries can develop service and product strategies and the service support mechanism to provide industrial technology information service in science parks.Design/methodology/approach:The analysis is based on a case study of a large Chinese research library,National Science Library(NSL),the Chinese Academy of Sciences(CAS),in serving high-tech companies in Zhongguancun Science Park(Z-Park).Findings:NSL’s practices suggested that in serving business clients,libraries’ product and service strategies should be based on the understanding of users’ needs.Aside from those services that have been recognized by clients such as document retrieval & delivery and novelty search,libraries may expand their service and provide in-depth information analysis and consultation for some key clients.Moreover,a service and product development system should be established,which differentiates the libraries’ products and services from those of their competitors.In providing industrial technology information service,libraries need to construct the service support mechanism,publicize their service and learn to cooperate with clients to meet their demands for knowledge management and innovation.Research limitations:The generalizability of the findings is limited because they are based on an individual case study.Practical implications:Our service practices provide useful information for other libraries to expand their information service to high-tech companies in the new information environment.Originality/value:Z-Park is the first and one of the largest science and technology parks in China.Hence NSL’s practices in serving high-tech companies in Z-Park can be valuable to other libraries that intend to take up the similar service.

Multiple Collaborative Service Model and System Construction Based on Industrial Competitive Intelligence

This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include enterprises, governments, colleges and universities, scientific research institutes, industry associations and for-profit institutions. This article starts from the overall development of regional industrial economy, weighs the mutual relationship between the elements of the service model, and promotes multiple service subjects such as enterprises, governments, universities, research institutes, industry associations, and profit-making organizations to realize the collaborative service of resource intelligence, demand intelligence and data intelligence provides linkage intelligence service for the development and innovation of regional industries. This service model can improve the efficiency of industrial competitive intelligence services and the overall competitiveness of regional industries.

基于Web Service的远程工业控制系统研究

以机器人控制为例阐述了基于Web Service(Web服务)的远程工业控制系统的理论与实现;该系统采用了三层架构,以ASP.NET开发了WEB页面作为调用Web Service的客户端,进行网上发布;该系统还在Web Service组件中引入运动控制器的DLL函数库,并提供了跨平台访问的接口。

基于Web Service的工业控制系统研究

传统的工业过程控制是封闭和独立的,随着信息技术的发展,实现工业控制系统的智能化、网络化和集成化成了新的趋势。Web service由于其具有与平台无关、容易通过Internet防火墙等特点,在网络控制方面具有良好的应用前景。本文引入Web service概念,提出了一个基于Web Service的工业控制模型。

基于Web Service的企业门户信息系统构建

为了更好的解决大型企业对组织机构,资源的管理问题,减少机构的紊乱和资源管理的复杂性,采用基于角色访问控制(role-based access control,RBAC)思想和轻型目录访问协议(lightweight directory access protocol,LDAP)技术实现通用、安全、可扩展的企业统一用户管理系统(Industry Portal System)。该平台以Portlet代替Serverlet,实现了更为细粒度的Web请求处理;使用XML传递数据集成组件和模块间的数据交换,实现数据的统一管理和维护,降低数据维护成本。该平台的实现,提高了业务管理的效率,增强了系统的安全性、高效性和可扩展性。

On the development of modern service industry under mismatched Blotto game of knowledge flow

In order to highlight and analyze the influence of heterogeneous knowledge flows to enterprises in the modern service industry,based on a review of the Colonel Blotto game,some presumptions such as the game's utility function are modified,and a mechanism to change tacit knowledge into explicit knowledge is constructed to carry out an analysis of a two-player knowledge flow management.The characteristics of the players' optimal reactions of knowledge flow management are studied,and the results bear evidence of the facts that a gap always exists under the spillover effect.Meanwhile,tacit knowledge seems more important to the development of enterprises than explicit knowledge.So it implies that the foremost task for the development of the modern service industry is to strengthen the settings and institutions for the flux of tacit knowledge and enterprise knowledge management.

Strategies to Promote the Urban Tourism Competitiveness in Shenyang Based on Modern Service Industry Framework

By describing the status quo of tourism industry in Shenyang and by eval- uating and comparatively analyzing the tourism competitiveness in the four cities of Shenyang, Dalian, Changchuan and Harbin, this paper points out advantages and existing problems in tourism competitiveness of Shenyang and finally comes up with strategies to promote the competitiveness of tourism in Shenyang.

基于Web Services的服装企业应用集成平台

基于Web Services集成的信息技术是解决服装企业应用集成的关键解决方案。根据服装企业应用集成业务需求,提出了基于Web Services的服装企业应用集成平台体系结构,并实现了服装企业应用集成Web Services的提供者和Web Services的消费者。

Basic Characteristics,Spatial Disparity and Its Major Influencing Factors of Service Industry in China

Based on the analysis of its basic characteristics, this article investigated the disparities of Chinese service industry among the three regions （the eastern China, the western China and the middle China） and inter-provincial disparities of that in the three regions by Theil coefficient and cluster analysis. Then, major factors influencing its spatial disparity were explored by correlation analysis and regression analysis. The conclusions could be drawn as follows. 1） The development of Chinese service industry experienced three phases since the 1980s： rapid growth period, slow growth period, and recovery period. From the proportion of value-added and employment, its development was obviously on the low level. From the composition of industrial structure, traditional service sectors were dominant, but modem service sectors were lagged. Moreover, its spatial disparity was distinct. 2） The level of Chinese service industry was divided into five basic regional ranks： well-developed, developed, relatively-developed, underdeveloped and undeveloped regions, As a whole, the overall structure of spatial disparity was steady in 1990-2005. But there was notable gradient disparity in the interior structure of service industry among different provinces. Furthermore, the overall disparity expanded rapidly in 1990-2005. The inter-provincial disparity of service industry in the three regions, especially in the eastern China, was bigger than the disparity among the three regions. And 3） the level of economic development, the level of urban development, the scale of market capacity, the level of transportation and telecommunication, and the abundance of human resources were major factors influencing the development of Chinese service industry.

A Dairy Industry Information Cooperative Service System Based on a Production Process Ontology

Agricultural information cooperative services （AICS） are now becoming an important aspect of agriculture informatization. This study offers an ontological conception of the agricultural production process, establishing operational divisions corresponding to both the stages and the fundamental information requirements of the dairy industry production process in China, yielding a process ontology for the dairy industry as well as a business chain model. A framework for a dairy industry information cooperative service system was established, with service functions realized in a prototype system. The resulting agricultural process ontology built on the basis of biological characteristics has advantages as a classification standard for agricultural information; whereas the business chain model based on this agricultural process ontology allows for an effective distribution of agricultural information cooperative services. This study outlines a concept and demonstrates a prototype of a cooperative service capable of integrating diverse online agricultural information relevant to the dairy industry in China.