Approach of service recovery decision-making based on Bellman dynamic programming

Based on service-oriented architecture（SOA）,a Bellman-dynamic-programming-based approach of service recovery decision-making is proposed to make valid recovery decisions.Both the attribute and the process of services in the controllable distributed information system are analyzed as the preparatory work.Using the idea of service composition as a reference,the approach translates the recovery decision-making into a planning problem regarding artificial intelligence （AI） through two steps.The first is the self-organization based on a logical view of the network,and the second is the definition of evaluation standards.Applying Bellman dynamic programming to solve the planning problem,the approach offers timely emergency response and optimal recovery source selection,meeting multiple QoS （quality of service）requirements.Experimental results demonstrate the rationality and optimality of the approach,and the theoretical analysis of its computational complexity and the comparison with conventional methods exhibit its high efficiency.

RF-CLASS： A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making

Floods often cause significant crop loss in the United States. Timely and objective information on flood-related crop loss, such as flooded acreage and degree of crop damage, is very important for crop monitoring and risk management in ag- ricultural and disaster-related decision-making at many concerned agencies. Currently concerned agencies mostly rely on field surveys to obtain crop loss information and compensate farmers＇ loss claim. Such methods are expensive, labor intensive, and time consumptive, especially for a large flood that affects a large geographic area. The results from such methods suffer from inaccuracy, subjectiveness, untimeliness, and lack of reproducibility. Recent studies have demonstrated that Earth observation （EO） data could be used in post-flood crop loss assessment for a large geographic area objectively, timely, accurately, and cost effectively. However, there is no operational decision support system, which employs such EO-based data and algorithms for operational flood-related crop decision-making. This paper describes the development of an EO-based flood crop loss assessment cyber-service system, RF-CLASS, for supporting flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture, RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems, particularly the National Aeronautics and Space Administration （NASA） Earth Observing System Data and Information System （EOSDIS）, for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data, such as flood frequency, flooded acreage, and degree of crop damage, for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment, the near-real-time availability of EO data, the service-oriented architecture, geospatial interoperability standards, and the standard-based geospatial web service technology. The prototypical system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making. Evaluation of system by the end-user agencies indicates that significant improvement on flood-related crop decision-making has been achieved with the system.

Discussion on Improving Decision-making Meteorological Service Level of County-level Meteorological Station

Based on experience of meteorological service at county-level meteorological station in recent 20 years,status quo of decision-making meteorological service,main influence factors of decision-making meteorological service and writing of decision-making meteorological service materials are analyzed,and measures and suggestions of improving decision-making meteorological service level are proposed. The research aims to improve public meteorological service level at grass-roots level,provide scientific decision-making basis for government departments preventing and reducing disaster,and reduce loss of life and property of the country and people caused by meteorological disasters to the maximum extent.

Decision-Making Model of Public Service Facility Configuration in Multi-agent Communities and Its Application

The decision.making process of the public service facility configuration in multi.agent community is usually simplistic and static. In order to reflect dynamic changes and interactions of all behavior subjects induding of residents, real estate developers and the government, a decision-making model of public service facility configuration according to the multi-agent theory was made to improve the efficiency of the public service facility configuration in community and the living quality of residents. Taking a community to the cast of Jinhui Port in Fengxian District in Shanghai for example, the model analyzed the decision-makers＇ adaptive behaviors and simulated the decision.making criteria. The results indicate that the decision-making model and criteria can be well of satisfying the purpose of improving validity and rationality of public service facility configuration in large community.

EVALUATION OF ECOLOGICAL SERVICES OF JILIN PROVINCE, NORTHEAST CHINA

The main purpose of this study is to give evaluation of ecological services of Jilin Province, Northeast China. To take this value into decision-making and GDP accounting system is considered to be one of the economic solutions for ecological problems. The evaluation is based on the methods proposed by COSTANZA et al., and some modifications about unit value of forest and cropland system were made according to the real characters of ecosystem, climate, natural conditions etc., in Jilin Province. Total value of ecosystem services is about 554.404x10(9) yuan(RMB)/a, which is about 4.9 times of GDP of the corresponding period. The results of this study could be used as a fundamental work for the construction of ecological province, which was carried out from 2001, and could provide ecological information for decision-making. Furthermore, the necessities for the further studies on the evaluation of ecological services and natural capital were discussed.

Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

The advantages of a cloud computing service are cost advantages,availability,scalability,flexibility,reduced time to market,and dynamic access to computing resources.Enterprises can improve the successful adoption rate of cloud computing services if they understand the critical factors.Tofind critical factors,this studyfirst reviewed the literature and established a three-layer hierarch-ical factor table for adopting a cloud computing service based on the Technology-Organization-Environment framework.Then,a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was used to objectively identify critical factors for the adop-tion of a cloud computing service,replacing the subjective decision of the authors.The results of this study determinedfive critical factors,namely data access secur-ity,information transmission security,senior management support,fallback cloud management,and employee acceptance.Finally,the paper presents thefindings and implications of the study.

An Integrated Framework for Cloud Service Selection Based on BOM and TOPSIS

Many businesses have experienced difficulties in selecting a cloud service provider(CSP)due to the rapid advancement of cloud computing services and the proliferation of CSPs.Many independent criteria should be considered when evaluating the services provided by different CSPs.It is a case of multi-criteria decision-making(MCDM).This paper presents an integrated MCDM cloud service selection framework for determining the most appropriate service provider based on the best only method(BOM)and technique for order of preference by similarity to ideal solution(TOPSIS).To obtain the weights of criteria and the relative importance of CSPs based on each criterion,BOM performs pairwise comparisons of criteria and also for alternatives on each criterion,and TOPSIS uses these weights to rank cloud alternatives.An evaluation and validation of the proposed framework have been carried out through a use-case model to prove its efficiency and accuracy.Moreover,the developed framework was compared with the analytical hierarchical process(AHP),a popular MCDM approach,based on two perspectives:efficiency and consistency.According to the research results,the proposed framework only requires 25%of the comparisons needed for the AHP approach.Furthermore,the proposed framework has a CR of 0%,whereas AHP has 38%.Thus,the proposed framework performs better than AHPwhen it comes to computation complexity and consistency,implying that it is more efficient and trustworthy.

An Adaptive Hybrid Optimization Strategy for Resource Allocation in Network Function Virtualization

With the rapid development of Network Function Virtualization(NFV),the problem of low resource utilizationin traditional data centers is gradually being addressed.However,existing research does not optimize both localand global allocation of resources in data centers.Hence,we propose an adaptive hybrid optimization strategy thatcombines dynamic programming and neural networks to improve resource utilization and service quality in datacenters.Our approach encompasses a service function chain simulation generator,a parallel architecture servicesystem,a dynamic programming strategy formaximizing the utilization of local server resources,a neural networkfor predicting the global utilization rate of resources and a global resource optimization strategy for bottleneck andredundant resources.With the implementation of our local and global resource allocation strategies,the systemperformance is significantly optimized through simulation.

绿色低碳建造咨询服务发展路径研究

随着“双碳”目标的提出,为促进建筑业转型升级,国家大力推广绿色建造方式,但我国绿色建造起步较晚,与之配套的咨询服务也尚未形成。现有的咨询服务模式已经不能够满足绿色建造的需求,新型的绿色低碳建造咨询服务模式需要得到同步发展,亟需围绕项目前期策划到后期运维的全生命周期过程,从技术维度和管理维度,提供“策划定位、规划定格、设计定型、物料选控、施工质控、交付品控、运维能控”的全流程、全方位、全要素的绿色低碳建造咨询服务,为绿色建造方式的推行和咨询业务的发展奠定基础。

基于公共决策部门知识需求的档案资政服务研究:框架、流程及机制分析

档案资政服务是档案价值得以发挥的过程,而公共决策部门知识需求是开展档案资政服务的出发点和落脚点。文章以公共决策部门知识需求为切入点,深入分析决策知识需求与档案资政服务之间的内在逻辑关系,进而从目标指引、知识整合、知识智析、知识融合、成果服务五个方面阐述基于决策知识需求的档案资政服务实现流程,并在此基础上进一步探讨其保障机制。

票据投顾业务发展研究

票据投顾是票据服务创新的重要方式。文章阐释了票据投顾的基本内涵,提出了票据投顾的发展与动因,论证了发展票据投顾的合理性问题,并就金融服务公司向银行提供票据投顾服务提供了发展指引与建议。文章结合宏观和微观分析方法,从多个维度对票据投顾及其路径设计进行全面分析,以期在理论层面丰富该领域研究,拓宽学术研究的理论视野;同时,在实务层面提供切实可行的路径参照,推动票据市场健康发展。

CHALLENGES AND CAPACITY GAPS IN SMALLHOLDER ACCESS TO DIGITAL EXTENSION AND ADVISORY SERVICES IN KENYA AND UGANDA

An assessment of the challenges and capacity gaps in smallholder access to digital extension and advisory services(EAS)was made by surveying 197 female and 239 male farmers in Kenya and Uganda.Non-digital extension approaches remain dominant but at least 78%of farmers accessed EAS from electronic sources dominated by radio.This is attributed to the fact that ownership of radios was more widespread than of other digital devices.Challenges that particularly limit the use of digital services included low digital literacy and prohibitive cost of internet and mobile devices.Female and elderly farmers were more likely to report these challenges than their counterparts.Logistic regression model results show that ownership of digital devices,participation in post-production activities,and access to extension were enablers of digital EAS use.Farmers mentioned gaps in obtaining information on crop pest/disease diagnosis and management,fertilizer application,pesticide safety and quality seed.Given the diversity in smallholder technological capabilities and information needs,the recommendations made include integration of digital communication within multimode advisory services that use different but linked communication channels,continued farmer digital innovation capacity enhancement,and participatory design approaches that deliver relevant and actionable information for inclusive scaling of extension activities.

大学图书馆开展科技查新服务的实践与反思

本文简要介绍了我国科技查新服务的历史与现状,并以扬州大学为例,阐述了科技查新服务工作的发展历程、建设思路和取得的成效。提出了大学图书馆开展科技查新服务面临的挑战及其应对措施。

论现代建筑服务业的理论内涵与发展特征

20世纪90年代以来,世界产业结构呈现出向服务业倾斜的趋势。伴随全球经济服务化趋势的加剧,现代服务业从传统服务业中分离并快速成长,成为现代经济增长的重要支撑。当今,现代服务业已成为一个范围最广的产业,其范畴下的现代建筑服务业在一国产业结构中的比重和重要性日益突出,是现代经济持续快速发展的主要源动力。与以往的劳动密集型的服务业不同的是,现代服务业及现代建筑服务业都具有知识和技术密集、高素质性和新兴性的特征。作为现代服务业的一项,建筑服务业的发展也将对经济的发展也起着重要的作用。当前的关键是要抓住有利的机遇,坚持现代服务业发展的市场化方向,促进现代服务业与建筑服务业的较快发展。

基于公共服务供给视角的北京旅游咨询服务中心发展研究

旅游咨询服务中心的发展状况,已经成为衡量旅游城市发展程度的主要标准之一。本文从公共服务供给主体和过程两个视角对北京旅游咨询服务中心的现状进行深入研究,分析北京旅游咨询服务中心现有的问题和发展瓶颈,并根据对公共服务效率本质的分析,提出北京旅游咨询服务有效供给的实现途径,以期为发展北京旅游咨询服务提供指导。

公共图书馆准智库建设及其特色服务研究

文章基于相关服务现状,将公共图书馆智库建设分为智库服务、准智库、独立智库三个发展阶段,提出建设“准智库”可开展的具有图书馆特色的智库型服务,包括课题研究、政策评议分析、科学评价、舆情分析与研判、知识产权评议分析、行业分析等。最后文章结合问卷调查显示智库建设的主要困难,提出通过围绕智库型服务建章立制,健全数据资源,培养专业队伍,挖掘用户需求,完善成果展示、推广、应用与评价,组建或加入智库联盟等方式来建设“准智库”,以找到一条可持续发展的智库建设之路。

图书馆参考咨询服务形式演化研究

图书馆参考咨询服务形式经历了四个阶段演化,即传统咨询形式阶段—自动化咨询形式阶段—网络咨询形式阶段—合作参考咨询形式阶段,文章对每一阶段服务形式进行了详细论述。

药物咨询服务干预在心血管病患者中的应用研究

目的探讨药物咨询服务干预对心血管病患者的应用效果。方法90例心血管病患者按就诊先后顺序分为试验组和对照组各45例(单号为试验组,双号为对照组),对试验组进行药物咨询服务干预,对照组实施传统医疗服务干预。采用WHO生存质量测定量表及治疗依从性问卷对两组患者的生活质量和治疗依从性进行测评。结果试验组药物咨询服务干预后生活质量总分、身体健康维度、心理健康维度、社会功能维度评分明显高于干预前(P<0.05),与对照组比较,上述4项指标评分差异均有显著性意义(P<0.05);治疗依从性评分比较试验组明显高于对照组,差异有显著性意义(P<0.05)。结论实施药物咨询服务干预能提高门诊心血管病患者生活质量及治疗依从性。

我国政府向智库购买决策咨询服务的制度安排

政府向智库购买决策咨询服务,是推进国家治理体系和治理能力现代化的关键路径,也是国家文化软实力提升的重要举措。政府向智库购买决策咨询服务,有着其内在的改革机理。然而,我国政府向智库购买决策咨询服务的实践过程面临一系列制度缺失,主要表现为政府购买智库决策咨询服务的法律法规制度不明确、组织保障制度不健全、成果供需机制不对接、智库竞争制度不公平和评价监督制度不完善。为提高政府决策的科学化和民主化,促进各类智库公平竞争健康发展,需要进行合理的制度安排。

图书馆参考咨询服务中的职业道德规范建设

在描述图书馆参考咨询服务职业特征的基础上,论证了参考咨询服务职化道德规范建设的社会价值及建设途径,并由此提出职业道德规范建设的一些建议。