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111.
Sub-Saharan Africa has witnessed the end of foreign colonial rule, the rise and fall of autocratic political regimes, and the disappearance of statist command economies. The challenges were to turn populations into coherent nations owing allegiance to the state; to democratise the state structures that govern these populations; and to liberalise the rules that regulate economic transactions. An important source to assess these prospects are the views and attitudes of ordinary Africans. This essay reflects on the original data derived from a crossnational research project. Nine African states were surveyed between 1999 and 2000. An attempt is made to gather some propositions from the analysis of the data. Many present serious challenges to common wisdom about African politics. It appears that the process of nationbuilding has created coherent political communities with high levels of national identity; that democratising the state in Africa builds on existing indigenous demands from ordinary Africans; and that economic liberalisation proceeds in the face of a mixed set of values about market and state. 相似文献
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Deane-Peter Baker 《African Security Review》2013,22(3):54-64
Abstract The mandate of South Africa's recently appointed National Planning Commission includes addressing ‘defence and security matters’. This article seeks to outline the central elements of the threat environment facing South Africa in the foreseeable future. It is argued that South Africa faces no meaningful existential threat from conventional military forces but that its security forces will need to be prepared to address possible raids and attacks by conventional military forces both on home soil and on vital interests beyond the nation's borders. Other threats highlighted include the threats posed by potential insurgencies, by terrorism, and by crime, social unrest and banditry. Also addressed is the danger of so-called hybrid threats, in which two or more of the single threat types outlined here are combined. Finally, the article challenges the National Planning Commission to rethink South Africa's policy on peace operations in the light of the need to ensure the safety and security of the nation's citizenry. 相似文献
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基于元模型的体系结构设计思想和基于可执行模型的评估方法是体系结构领域研究的两个热点,但当前的研究没有将两者结合起来。文章基于DoDAF2.0提出的元模型数据(Meta-Model Data,DM2),将元模型的思想和基于可执行模型的评估方法相结合,分析了基于DM2的逻辑数据与可执行模型各构建要素的对应关系,构建了基于DM2的逻辑数据模型直接转可执行模型的过程框架,重点研究了如何直接从体系结构底层数据转可执行模型的方法,从而为进行基于元模型的体系结构可执行评估提供模型基础,也为进一步实现体系结构自动化验证评估提供技术支持。实例验证了文章提出的方法。 相似文献
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通过分析国内外C4ISR系统体系结构开发、研究中存在的问题,提出了C4ISR体系结构工程的设想,即采用工程的概念、原理、技术和方法,从技术和管理两方面研究如何更好地开发、维护C4ISR系统的体系结构.定义了C4ISR体系结构工程的相关概念,提出并详细介绍了体系结构的生命周期. 相似文献
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网络中心战是信息化战争中一种新的作战概念.按照网络中心战的概念,研究防空导弹网络化作战的C4ISR体系结构.提出了以火力单元的功能系统为基本单元,建立跟踪制导网、指挥控制网和拦截兵器网三层逻辑网结构,并定义各逻辑层的主要功能和基本组成.该结构对实现防空导弹网络中心战有指导意义. 相似文献
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全球信息栅格的产生和实现技术研究 总被引:1,自引:0,他引:1
介绍了全球信息栅格的概念与定义,详细论述了全球信息栅格产生与发展的动因、实现技术的研究现状.介绍了研究与实现全球信息栅格的关键技术、基础理论,重点论述了实现全球信息栅格总体架构的有关内容. 相似文献
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It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance. 相似文献