专利视角下高校学科交叉研究

以专利为视角,利用网络分析法和Ucinet工具,以山东理工大学为例,对其截止到2012年11月20日所有发明专利和实用新型的专利申请文献进行可视化分析,构造专利共现网络和发明人-专利2模数据的复杂网络,藉此研究学科交叉情况,并找到该研究领域的学科创新带头人,对于高校学科群的建设具有重要的参考价值。     

信息网络战对军人身心素质的需求及对策研究

网络战已经成为未来信息作战的主要作战样式之一。从分析网络战特点入手,总结了网络战对军人身心素质的特殊需求,并针对性提出培养对策和方法,为我军未来建立网络战力量,提升网络战能力提供借鉴。     

Network Mediated Discursive Education: From Computational to Networked Knowledge in the University

In the 1990s, knowledge management originated as a post-Fordist, information society, discourse that stressed the sociotechnical “capture” and distribution of knowledge as a sharable, information resource. Following a postindustrial model, the information/knowledge economy was seen as the leading productive sector. Today's networked systems mix information processing and retrieval and communication technologies in new ways. While such systems demand new tools for capturing, organizing, searching, ranking, and visualizing knowledge, such systems also offer new opportunities for education and for better, shared, research. This article reviews the status of computational technologies in university education in, and since, Jean-François Lyotard's The Postmodern Condition: A Report on Knowledge and then offers recommendations on bridging the divide between networked and critical thinking through the reorganization of the university and some of its functions.     

Network dynamics in regional clusters: Evidence from Chile

A wealth of empirical literature shows that one of elements of success for regional clusters is that they facilitate the formation of local inter-organizational networks, which act as conduits of knowledge and innovation. While several studies analyse the benefits and characteristics of regional cluster networks, very little is known about how such networks evolve over time and the extent to which their dynamics can affect development processes. Using longitudinal data on a wine cluster in Chile and Stochastic Actor-Oriented Models (SAOM) to measure network dynamics, this paper examines the microdynamics underpinning the formation of new knowledge ties among wineries. It finds that the coexistence of cohesion effects (reciprocity and transitivity) with the weak knowledge bases of some firms in the cluster contribute to a stable informal hierarchical network structure over time. The empirical results have implications for theories on network dynamics in regional clusters and cluster policies.     

Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.     

Quantifying paedophile activity in a large P2P system

Increasing knowledge of paedophile activity in P2P systems is a crucial societal concern, with important consequences on child protection, policy making, and internet regulation. Because of a lack of traces of P2P exchanges and rigorous analysis methodology, however, current knowledge of this activity remains very limited. We consider here a widely used P2P system, eDonkey, and focus on two key statistics: the fraction of paedophile queries entered in the system and the fraction of users who entered such queries. We collect hundreds of millions of keyword-based queries; we design a paedophile query detection tool for which we establish false positive and false negative rates using assessment by experts; with this tool and these rates, we then estimate the fraction of paedophile queries in our data; finally, we design and apply methods for quantifying users who entered such queries. We conclude that approximately 0.25% of queries are paedophile, and that more than 0.2% of users enter such queries. These statistics are by far the most precise and reliable ever obtained in this domain.     

机会网络应用在偏远地区的仿真研究

针对机会网络在偏远地区应用的前景,构建一个类似偏远地区的应用环境,并分析机会网络中典型的路由协议,对典型路由协议在偏远地区的应用进行仿真。从传输成功率、路由开销、平均延时时间和平均缓存时间四个方面评估各路由协议在偏远地区应用的性能。仿真结果表明,Max Prop和Spray And Wait协议在该场景中表现出较好的性能;多副本的转发机制在传输成功率和传输延迟方面要优于单副本的转发机制;多跳的路由机制会增加网络的路由开销。     

BP神经网络在多维非线性函数拟合中的应用

为了解决常规方法拟合多维非线性函数的预测结果精度较低问题,采用非线性映射能力较强的BP神经网络进行多维非线性函数拟合。通过对BP神经网络结构及训练过程的分析,依据给定的两维非线性函数构建BP神经网络模型,并利用MATLAB软件对BP神经网络进行预测。仿真结果表明,BP神经网络对于两维非线性函数有良好的拟合能力,拟合误差小、收敛速度快,也使该方法具有较好的推广性。     

社会标注在卫生社交网络中的应用

随着Web2．0技术的发展,社会标注作为网络资源组织的重要方式,已经广泛应用于各种类型的网站。通过深入研究社会标注在卫生社交网络中的应用和存在的不足,提出了建立社会化登陆模式、构建标签库、建立标签自动分类系统、实现个性化推荐机制、进行标签语义分析、设置用户权限等促进卫生社交网络朝着更好方向发展的建议。     

企业合作对创新企业的影响

以2013 年我国产学研合作创新48 家优秀企业为样本,实证分析企业合作对创新企业的影响。研究表明, 作为整个价值链中的供应商和客户对产品创新具有较大影响,竞合企业之间的合作对企业产品创新具有显著的积极影 响,公司规模和盈利能力与企业产品创新显著正相关,决策者R&D投资决策对企业合作中产品创新有显著影响。强调 指出,企业要选择供应链企业进行合作,特别是加大与供应链中的供应商和客户的合作程度,作出有效的R&D投资决 策,同时政府部门应该制定培育和发展企业网络创新的政策。