中国省域居民生活能源消费的空间效应研究          下载免费PDF全文

孙涵  申俊  彭丽思  聂飞飞  於世为 《科研管理》2016,37(12):82-91

本文基于2008—2012年中国30个省域为研究对象,从Bayes空间计量的角度研究省域之间生活能源消费的空间效应,并分析不同因素对居民生活能源消费的影响。研究结果表明:中国省域居民能源消费存在显著的空间自相关,多数省域的居民能源消费在空间上呈现高-高和低-低集聚;人口规模是影响居民能源消费最重要的影响因素,其次是居民消费支出和能源消费强度;从当期效应来看,各变量对居民能源消费的直接效应和总效应均显著为正,因此,降低能源消费需要控制人口规模向城市转移的增长速度、降低能源消费强度、引导和改善居民消费结构。  相似文献   

University–industry interactions in applied research: The case of microelectronics     

Margherita Balconi  Andrea Laboranti 《Research Policy》2006,35(10):1616-1630

In the first part of the paper we discuss the pattern of research in microelectronics, illustrating the reasons why, in order to achieve distinguished scientific performance, universities need to collaborate with industry, and in particular academic researchers need to interact with industrial ones by face-to-face knowledge exchanges. In the second part, using patent data integrated with information collected through interviews, we measure the extent and intensity of the ties of academic with industrial researchers, and apply social network analysis to reconstruct the network of collaborations. The picture that emerges (from this Italian case) is fully consistent with the specific research pattern. Collaboration is based on teams of researchers from the two spheres, and strong connections are associated with high scientific performance. Moreover, border-crossing collaborations tend to be driven by cognitive proximity and personal relationships.  相似文献   

基于贝叶斯理论的企业新产品开发风险决策GERT网络模型     

郭本海  陈玮  吕东东 《科技管理研究》2016,(22):208-213

构建以企业新产品开发基本过程为基础的GERT网络模型,度量于研发过程实施针对性管控措施前后新产品开发成功概率;结合贝叶斯决策理论建立评估产品收益的数学模型,计算企业购买情报前后新产品的期望收益,测度完全情报价值和购买情报的净收益。研究结果揭示了新产品开发成本、成功率和市场需求量等因素的相互作用,并为企业新产品开发于不同情境和因素下的决策提供依据。  相似文献   

An analysis of friendship networks, social connectedness, homesickness, and satisfaction levels of international students     

Blake Hendrickson  Devan Rosen R. Kelly Aune 《Int J Intercult Relat》2011,35(3):281-295

International students continue to grow in number worldwide, prompting researchers to look for ways to make the study abroad experience more fruitful. One avenue of research has focused on friendship formation, the significant role it plays in the study abroad experience, and the unique friendship combinations made possible by the study abroad experience. International students form friendships with individuals from their own country, from other countries, and from the host country. Research has found that international students often have more friends from their home country; however, research has also demonstrated a relationship between having more host country friends and satisfaction, contentment, decreased homesickness, and social connectedness. The current study looks to further explore these relationships through a social network lens by examining friendship network ratios, strength, and variability of the three friendship groups. A friendship network grid was developed to assess where international students’ friends are from and how strong those friendships are. Eighty four international students completed a survey examining the relationship between friendship networks, social connectedness, homesickness, contentment, and satisfaction. Contrary to prior research, international students did not report having a higher ratio of individuals from their home country in their friendship networks. However, international students with a higher ratio of individuals from the host country in their network claimed to be more satisfied, content, and less homesick. Furthermore, participants who reported more friendship variability with host country individuals described themselves as more satisfied, content, and more socially connected. Implications and directions for future research are discussed.  相似文献   

泊松分布中参数的经典估计与Bayes估计的相等关系     

姚丽  ;李轶凡 《通化师范学院学报》2014,(6):31-32

文中证明了泊松分布中未知参数的矩估计和最大似然估计,一定存在一个先验分布,使其贝叶斯估计就是该经典估计的结论.  相似文献   

存储区域网模式前沿技术研究   总被引：4，自引：0，他引：4  

黄晨 《图书馆杂志》2001,20(4):30-31,40

随着服务器CPU的速度不断翻番，ATM和千兆以太网的普遍使用，以及硬盘系统容量的不断扩大，I／O速度日益成为制约整个网络系统效率的瓶颈，针对I／O的瓶颈问题，提出了有效的解决方法，将数据从通用的应用服务器中分离出来以简化存储管理，采用SAN和LANFREE相结合方案。  相似文献   

贝叶斯OD流估算模型的解的收敛性     

丁以中  丁禺 《上海海事大学学报》1996,(3)

引入了贝叶斯ＯＤ流估算模型，证明了模型的迭代解的收敛性，并给出了最优解的形式。  相似文献   

基于负载平衡的无线传感器网络路由算法     

卢艳宏 《科技广场》2012,(7):65-69

为了提高无线传感器网络的能量利用率和延长网络的生命周期,本文提出了基于负载平衡的无线传感器网络路由算法。首先,将网络划分成多个网格,根据网格内节点的负载情况定义网格的状态,结合网格的地理位置和网格负载状态选择路由网格;其次,根据节点剩余能量和负载大小在选择的网格内选取一个合适的节点开始数据的收发工作;最后,通过模拟实验将本文算法与GPSR算法和GEAR算法进行比较。仿真结果表明,该算法有效改善了网络的负载均衡,延长了网络的生存期,并提高了网络的吞吐量。  相似文献   

The evolution of innovation capability in multinational enterprise subsidiaries: Dual network embeddedness and the divergence of subsidiary specialisation in Taiwan     

Simon C. Collinson  Rowena Wang 《Research Policy》2012,41(9):1501-1518

This paper examines how innovation-related capabilities for production, design and marketing develop at the subsidiary level within multinational enterprises (MNEs). We focus on how subsidiary autonomy and changing opportunities to access external (host country) sources of capability contribute to the accumulation of specialist capabilities in five Taiwan-based MNE subsidiaries in the semiconductor industry. Longitudinal analysis shows how the accumulation process is subject to discontinuities, as functional divisions are (re)opened and closed during the lifetime of the subsidiary. A composite set of innovation output measures also shows significant variations in within-function levels of capability across our sample. We conclude that subsidiary specialisation and unique subsidiary-specific advantages have evolved in a way that is strongly influenced by the above factors.  相似文献   

A Bayesian feature selection paradigm for text classification     

Guozhong Feng  Jianhua Guo  Bing-Yi Jing  Lizhu Hao 《Information processing & management》2012

The automated classification of texts into predefined categories has witnessed a booming interest, due to the increased availability of documents in digital form and the ensuing need to organize them. An important problem for text classification is feature selection, whose goals are to improve classification effectiveness, computational efficiency, or both. Due to categorization unbalancedness and feature sparsity in social text collection, filter methods may work poorly. In this paper, we perform feature selection in the training process, automatically selecting the best feature subset by learning, from a set of preclassified documents, the characteristics of the categories. We propose a generative probabilistic model, describing categories by distributions, handling the feature selection problem by introducing a binary exclusion/inclusion latent vector, which is updated via an efficient Metropolis search. Real-life examples illustrate the effectiveness of the approach.  相似文献