基于DEA模型的信贷资金配置效率研究——对山东省主要行业贷款情况的实证分析

资源配置的核心问题是效率问题,资源配置效率高代表着在同一技术水平条件下,资源流向最有价值创造力的行业。由于资金的逐利性,信贷资金往往会从利润低的行业流向高利润的行业,导致信贷资金在不同行业之间的配置效率具有差异性。信贷资金的配置效率高低及其不同配置组合对经济的运行和可持续发展影响重大,所以分析信贷资金不同配置组合及其原因,研究提高信贷资金配置效率的方式方法,对制定货币信贷政策、促进经济增长和调整产业结构来说,具有非常重要的意义。本文基于企业信用信息基础数据库数据,利用数据包络分析（DEA）模型对山东省主要行业的信贷数据进行实证分析,研究山东省信贷资金在各行业经济增长作用中的差异,分析各行业信贷资金配置效率情况,并对今后合理实施和调控信贷政策以促进产业发展提出相关意见和建议。     

Evaluation of Industry Eco-Industrialization: Case Study of Shaanxi,China

The rapid development of industry brings great pressure on resource and environment, forcing people to explore the road of ecological development. In China, the level of regional industry ecological development differs from each other due to different economic level of regions. This paper establishes ecoindustrialization index system from aspects of resource consumption, pollution emission, pollution abatement, economic and social development to reveal the connotation and characteristics of industry eco-industrialization, taking Shaanxi Province as an example, and adopts the principal component analysis to evaluate the industry eco-industrialization level of 2001-2015 in Shaanxi. The study shows that the level of industry eco-industrialization in Shaanxi Province is steadily improving, but the environmental protection and pollution control work still needs to be further strengthened. The current development process of industry eco-industrialization still faces hindrances from imperfection of environmental laws, insufficiency of government supervision, shortage of environmental protection planning, high energy consumption and ineffective implementation of cleaner production. Aiming at the hindrances, the paper suggests that Shaanxi should enhance the level of industry eco-industrialization by accelerating the construction of industrial ecological system, establishing environmental planning pilot system, improving resource utilization and promoting the key technological innovation and system integration of industry eco-industrialization.     

基于共享回馈DEA模型的中国省际 高技术产业创新效率研究

数据包络分析(data envelopment analysis,DEA)已被证明是测度高技术产业创新绩效的好方法,但现有文献忽略了现实中企业会将创新带来的经济效益回馈至两个子阶段进行再研发和生产,从而保证持续创新.基于此,结合高技术产业创新过程的特征,将其分为技术研发和商业转化两个子阶段,提出考虑共享回馈DEA模型的两阶段效率测度模型,不仅拓展了数据包络分析方法,也促进了创新绩效管理研究.实证结果表明:中国高技术产业整体效率良好,仍有提升空间,但省际发展不均衡,各省内部不同阶段效率也存在明显的差异,实行有针对性的管理是提升绩效的有效措施.     

一种基于效用函数的网格资源优化策略

基于市场机制提出了一种以资源代理为基础、面向服务的网格资源管理模型——SBAGRM,在该模型的框架下提出了一种基于效用函数的网格资源分配方法,该方法以满足用户的QoS需求为出发点,旨在追求系统资源的全局最优化。SBAGRM模型可以避免非线性优化带来过高的计算复杂度,以市场模式根据效用函数配置资源,因此计算复杂度将大大降低,模拟结果显示性能明显提高。     

基于DEA模型的区域成人教育资源配置效率研究

探讨中国成人教育资源配置效率对优化成人教育资源配置、调整未来成人教育改革方向具有重要意义.通过构建投入产出指标体系,运用数据包络分析(DEA)模型对我国30个省市区的成人教育资源配置效率进行评价分析.结果表明,我国省市区成人教育普遍存在教育资源配置失效的问题,其中教育资源配置失效的省市区大部分存在着严重的固定资产投资、土地使用等投入冗余现象,但基本不存在产出不足的情况.针对分析结果,成人教育主管部门应当密切关注各地区的教育发展差异,特别是教育资源配置效率差异,统筹兼顾, 推动我国成人教育资源的高效配置和成人教育事业的健康发展.     

我国省级区域文化产业竞争力研究

文化产业已经是发达国家和地区经济社会发展的支柱产业,其竞争力日益增强,影响力日益深远,已经成为知识经济背景下区域竞争力版图中举足轻重的部分。本文着眼于文化产业的特性构建了其竞争力的评价指标体系,利用因子分析法实证分析了我国31个省级区域2006年到2010年文化产业竞争力水平和变化趋势。结果表明,各地区文化产业发展水平存在较大差异,区域文化产业竞争力水平的变动与其经济发展水平有较强的相关性,东部地区的竞争力逐步提升,中部地区的竞争力有所下降,西部地区的劣势地位愈加明显。基于实证结论,结合各地区经济发展水平和独特的文化基础、人文环境,针对性地提出了提升区域间文化产业竞争力的建议。     

Fair resource allocation and stability for communication networks with multipath routing

Multipath networks allow that each source-destination pair can have several different paths for data transmission, thus they improve the performance of increasingly bandwidth-hungry applications and well cater for traffic load balancing and bandwidth usage efficiency. This paper investigates fair resource allocation for users in multipath networks and formulates it as a multipath network utility maximisation problem with several fairness concepts. By applying the Lagrangian method, sub-problems for users and paths are derived from the resource allocation model and interpreted from an economic point of view. In order to solve the model, a novel rate-based flow control algorithm is proposed for achieving optimal resource allocation, which depends only on local information. In the presence of round-trip delays, sufficient conditions are obtained for local stability of the delayed algorithm. As for the end-to-end implementation in Internet, a window-based flow control mechanism is presented since it is more convenient to implement than rate-based flow control.     

The catallaxy approach for decentralized economic-based allocation in Grid resource and service markets

Efficient resource allocation in dynamic large-scale environments is one of the challenges of Grids. In centralized economic-based allocation approaches, the user requests can be matched to the fastest, cheapest or most available resource. This approach, however, shows limitations in scalability and in dynamic environments. In this paper, we explore a decentralized economic approach for resource allocation in Grid markets based on the Catallaxy paradigm. Catallactic agents discover selling nodes in the resource and service Grid markets, and negotiate with each other maximizing their utility by following a strategy. By means of simulations, we evaluate the behavior of the approach, its resource allocation efficiency and its performance with different demand loads in a number of Grid density and dynamic environments. Our results indicate that while the decentralized economic approach based on Catallaxy applied to Grid markets shows similar efficiency to a centralized system, its decentralized operation provides greater advantages: scalability to demand and offer, and robustness in dynamic environments.     

A RFID-based Resource Allocation System for garment manufacturing

The emergence of fast changes in fashion has given rise to the need to shorten production cycle times in the garment industry. As effective usage of resources has significant effects on the productivity and efficiency of production operations, garment manufacturers are urged to utilize their resources effectively so as to meet dynamic customer demand. In usual practice, decision makers determine the required level of resources by evaluating technical requirements of garments, subjectively. Since their decision making processes involve concepts which are uncertain and vague, such as “long” and “short”, an attempt is made in this paper to apply fuzzy logic for handling imprecise information for determining resource allocation plans. In addition, Radio Frequency Identification (RFID) technology is adopted to capture data which is useful for improving the intelligence associated with the fuzzy logic. This paper presents a RFID-based Resource Allocation System (RFID-RAS), integrating RFID technology and fuzzy logic concept for achieving better resource allocation with particular reference to garment manufacturing. To confirm the viability of the RFID-RAS, a case study is conducted in a Hong Kong-based garment manufacturing company to help manage its resource utilization. Results indicate that the RFID-RAS outperforms conventional approaches with improved effectiveness and efficiency in resource allocation.     

统计推荐模型中的异构数据源资源配置

信息系统中的统计推荐模型需要获取、分析和汇总多个来源的数据。这些多源异构的数据集在特征和价值方面可能存在显著差异,因而影响模型性能。为了提升统计推荐模型的整体性能,这项研究工作采用凸优化理论和方法,解决了统计推荐模型中异构数据源的最优资源配置问题。在不同的数据源资源配置下,该工作对比了同一推荐模型的性能变化。实验结果表明该工作提出的资源分配算法在NDCG（normalized discounted cumulative gain）和召回率这两个推荐系统主要评价指标上有效地提升了模型性能。这项工作的结论是：针对多个异构的数据源,适当的资源划分和分配策略可以显著影响推荐模型的整体性能。     

高职院校特色专业群资源优化配置研究

高职院校特色专业集群的建设,其目的在于通过将不同产业结构的知识体系,引入到专业课程内容的设置与完善之中,不断提高相关专业的联动性、产业结构发展革新的弱区域性。围绕高职院校特色专业群的建设,对不同高职院校优势学科、特色专业课程的发展方向作出分析探讨,制定明确的专业集群化的人才培养方案,优化资源配置,推动校企特色专业集群资源的协调,提升专业人才培养质量。     

RETRACTED ARTICLE: Chinese regional economic cooperative development model based on network analysis and multimedia data visualization

Since the reform and opening up, China’s economic development has been accelerating. In the current world economic system, China occupies a very important position. However, there is a phenomenon of uneven economic growth among different regions, namely, there are large differences in economic growth rates and economic development levels between different provinces and cities. In recent years, a large number of studies have shown that China’s regional economic growth has obvious spatial correlation. In this paper, we adopt the method of network analysis to study and explain the spatial correlation of regional economic growth. Multimedia mining is a combination of data mining technology and multimedia technology. It is a cross-disciplinary field of knowledge discovery, data mining, artificial intelligence, machine learning, database technology, and multimedia technology. Therefore, data visualization technology can be used to study the coordinated development model of regional economy. Multimedia data visualization is an evolving concept whose boundaries are constantly expanding, mainly referring to technologically advanced technical methods that allow the use of graphics, image processing, computer vision, and user interfaces. Visualize data by expressing, modeling, and displaying stereo, surface, attributes, and animations. Compared with special technical methods such as stereo modeling, the technical methods covered by data visualization are much broader. The simulation results prove that the propose model can obtain the better overall perforamcne.

     

四网协同资源配置关键影响因素探讨

四网协同作为中国移动通信集团三大战略之一,是实现可持续发展的重要基础。对四网协同资源配置的关键影响因素进行探讨分析,对于建立四网协同资源配置模型,实现四网协同战略落地意义重大。本文在四网大协同的战略背景下,对影响四网协同资源配置的关键影响因素进行探讨分析,从而为搭建体系化、标准化、可操作的四网协同资源配置模型提供更科学的指标。基于该模型,可以实现中国移动通信集团公司及各省公司的精细化管理工作,提升投资管理效益。     

EMM: Extended matching market based scheduling for big data platform hadoop

Hadoop has emerged as a popular choice for processing Big data. Its cluster is used to process large scale jobs. The performance of a cluster is largely dependent upon the different kind of scheduling policies employed for job processing. However, a single type of scheduling policy may not be suitable for different kind of jobs. Inefficient performance of a cluster is an apparent outcome of inappropriate scheduling policies. These policies are either too complex or they are too elementary to understand the diverse jobs and their needs. Most of them follow a fixed pattern, which cannot be considered as a common solution for different jobs. The effect of such a non-fitting mechanism is lower resource utilization and poor cluster performance. In this paper, a pluggable scheduling mechanism is proposed for efficient and adaptive processing of the jobs. It utilizes the Matching Market concept for the allocation and further adaptively accommodates the diverse needs of the multiple jobs by understanding the varying requirements of the tasks. The experimental results reveal an enhanced resource utilization and improved cluster performance with an overall reduction in makespan. In certain instances, we have seen resource utilization improved up to 80% and performance improvement up to 60% with the proposed technique. Cluster efficiency is increased up of 31%. The evaluation and comparisons were conducted on various scheduling policies using different benchmarks of Hadoop with the same data and identical configurations. The proposed system has shown significant improvement in cluster efficiency.

     

智慧城市开创IT产业发展的新局面

随着我国各地的智慧城市建设已正式迈入“实践探索”阶段,智慧城市作为一种区域经济发展新模式催生出新兴的产业概念--智慧城市IT产业。本文精选7个样本城市,分析智慧城市建设对IT产业发展的作用,具有一定代表性和示范作用,可供国内其他城市在开展智慧城市建设的过程中把握发展城市IT产业的机遇参考借鉴。     

一种基于服务选取的SBS云资源优化分配方法

获取满足全局优化目标的资源分配策略,是影响云环境中基于服务的软件系统(service-based software system,简称SBS)运行时优化效果的关键.然而,由于SBS内部复杂的业务逻辑关系和云环境中的资源约束,现有分配方法无法得到最优资源分配量.以满足SLA约束和最小化资源成本为目标,根据不同资源状态对应不同组件服务性能的特点,将组件服务可能的资源分配量、相应性能及成本转换为备选逻辑服务集,进而提出了一种云环境中基于服务选取的SBS资源优化分配模型,并设计了一种求解模型的混合遗传算法.算法采用整数编码以提高求解效率,并在选择算子中引入了精英保留策略,从而保证收敛到全局最优解.为提高遗传算法的局部搜索能力、加快收敛速度,以局部搜索策略改进了标准变异算子.实验验证了所提出的资源优化分配模型和求解算法的有效性,并表明:与分支定界法及精英保留策略遗传算法相比,混合遗传算法能够在较大规模的问题上快速获得具有较低资源成本的资源分配策略.     

能效最优准则下的无人机中继系统的功率分配算法

由于无人机（Unmanned aerial vehicle,UAV）机动性好且部署简单,基于无人机中继的传输技术受到了广泛关注。功率作为通信系统的重要资源,其分配问题直接影响各条链路的性能和整个通信系统的能量效率。本文以莱斯衰落信道为背景,提出了一种在系统能效准则下的无人机中继通信系统的功率分配算法。首先在双跳放大转发（Amplify-and-forward,AF）中继传输模型的基础上建立功率分配的优化模型,将功率分配问题转化为求解最大系统能效的优化问题。在最优功率分配的求解过程中,先固定发射信号功率,获得波束形成优化方案;然后通过大信噪比区间近似,将非凸优化问题转化为凸优化问题;最后利用KKT（Karush-Kuhn-Tucker）条件,计算得出功率分配方案的闭式解。仿真实验表明,本文算法相对于迭代算法降低了算法复杂度。     

Progress and Challenges in High Performance Computer Technology

High performance computers provide strategic computing power in the construction of national economy and defense, and become one of symbols of the country＇s overall strength. Over 30 years, with the supports of governments, the technology of high performance computers is in the process of rapid development, during which the computing performance increases nearly 3 million times and the processors number expands over 10 hundred thousands times. To solve the critical issues related with parallel efficiency and scalability, scientific researchers pursued extensive theoretical studies and technical innovations. The paper briefly looks back the course of building high performance computer systems both at home and abroad, and summarizes the significant breakthroughs of international high performance computer technology. We also overview the technology progress of China in the area of parallel computer architecture, parallel operating system and resource management, parallel compiler and performance optimization, environment for parallel programming and network computing. Finally, we examine the challenging issues, ＂memory wall＂, system scalability and ＂power wall＂, and discuss the issues of high productivity computers, which is the trend in building next generation high performance computers.     

四网协同资源配置模型战略分析

四网协同是中国移动3大战略之一。如何通过科学的资源配置,真正实现四网协同发展,是中国移动集团、省市公司和地市公司共同关注的核心议题。在四网大协同的战略背景下,通过研究搭建了一个基于四网协同的闭环、联动、可获取、可评估的资源配置分析模型。一方面,通过体系化的四网资源配置模型,能够有效地支撑中国移动四网战略的落地,保障四网协同战略的有效实施;另一方面,通过闭环的投资策略方案比较分析,支撑中国移动集团公司与各省公司四网投资的精细化管理,提升投资管理效益。同时,还根据大协同分析思路和端管云策略体系,达到提升中国移动的企业综合效益,促进中国移动可持续发展的目标。     

物联网时代软件技术专业建设的思考

高职专业建设应以服务地方区域经济发展需求为导向。无锡正是把物联网产业作为经济转型的支柱产业,物联网产业相关人才需求旺盏。为此,文章分析了无锡物联网产业人才需求的规格要求,并在此基础上对无锡职业技术学院的软件技术专业进行了全面分析,从专业建设思路、建设目标、建设内容等三方面全面探讨了新形势下专业建设的主要手段和内容,同时提出了具体的专业建设方案。