Conflict Pattern Analysis: Preparing the Ground for Participation in Policy Implementation

The participation of non-state actors in implementation processes is often understood as a means to increase compliance efficiency. But the implementation of spatial policies frequently focuses on pre-established goals, processes and instruments and thus renders difficult open discourse and shared decision-making. This paper introduces conflict pattern analysis (CPA) as a tool that supports the analysis of the actual actor constellation in order to define efficient approaches that avoid common problems of participatory processes. CPA is a semi-formalised method that helps to identify key-actors, their relations and interaction amongst each other as well as their core beliefs, interests and resources. It aggregates this information to interaction patterns that can be compared, classified and linked to different participatory methods on a theoretically informed basis. Particularly on the local and regional level, this could be the first step for successful (participatory) implementation strategies.     

ROLE OF α-PSEUDO-UNIVEX FUNCTIONS IN VECTOR VARIATIONAL-LIKE INEQUALITY PROBLEMS

In this paper, we introduce a new class of generalized convex function, namely, a-pseudounivex function, by combining the concepts of pseudo-univex and α-invex functions. Further, we establish some relationships between vector variational-like inequality problems and vector optimization problems under the assumptions of α-pseudo-univex functions. Results obtained in this paper present a refinement and improvement of previously known results.     

对高校图书馆参与校园文化建设的探讨

阐述了校园文化与高校图书馆的关系,指出了图书馆参与校园文化建设的途径,提出了图书馆参与校园文化建设的建议。     

A theoretical model for mid-and low-latitude ionospheric electric fields in realistic geomagnetic fields

The geomagnetic fields, which play important roles in the ionospheric dynamo, can greatly affect the global distribution of ionospheric electric fields, currents and other ionospheric electrodynamics phenomena. In the study of ionospheric electrodynamics phenomena, such as the longitudinal variations of ionospheric electric fields, the non-dipolar component of the geomagnetic fields must be taken into account. In this paper, we deduce a theoretical electric field model for ionospheric dynamo at mid- and low-latitude which adopt a modified magnetic apex coordinates system. In the new electric field model, the geomagnetic fields can be calculated from either the IGRF model or the dipole field model, and the neutral winds and conductivities are calculated based on empirical models. Then the dynamo equation for the electric potential is finally solved in terms of the line-by-line iteration method, and the ionospheric electric fields and currents are derived from the calculated potential. Our model can reproduce the main features of the ionospheric electrodynamics processes, so it will be a useful tool for the investigation of the upper atmosphere and ionosphere.     

扩展Meadows模型分析Ad Hoc网络路由协议安全性

目前,Ad hoc网络安全路由协议缺乏有效的形式化分析方法.通过添加基于图论的路由描述和分析方法,文章扩展了Meadows模型的分析能力.使用扩展后的Meadows模型对Ad hoc网络安全路由协议Ariadne进行了分析,分析结果显示Ariadne协议存在产生虚假路由的漏洞,从而也说明了扩展后的Meadows模型能够用于Ad hoc网络安全路由协议的安全性分析.     

Quantale上代数余核的一点注记

研究了代数余核的某些性质，同时亦探讨了代数余核与子Quantales之间的联系．     

世界经济层内进化浅论

本文将物理系统层内进化扩展到世界经济系统中去，通过对世界经济循环结构与物理系统进化的层次结构关系的探讨，论述了世界经济周期的特征及经济周期的熨平作用。     

步进电机细分技术在经济型数控机床中的应用

本文叙述了步进电机细分原理及微机控制系统，并将其应用于经济型数控铣床的横向进给伺服系统，有效提高了开环数控系统的定位精度。     

论全球化视野下的民族文化整合与发展

经济全球化的兴起 ,不仅使生产要素在全球得以配置 ,也使文化多元化成为各民族文化发展的平台。无疑 ,2 1世纪人类文化交往的空间会进一步扩大 ,然而 ,由于各民族文化间的差异 ,文化整合问题日益凸现。因此 ,应当以创新的观点对待中西文化 ,以自觉的心态建构现代文化形态 ,实现民族文化的整合与发展。     

Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.