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Why have the Chinese and Russian internet sovereignty norms diffused successfully to some countries – thereby undermining the previously dominant US norm of internet freedom – and what are the implications of successful international diffusion of information controls for understandings of sovereignty in International Relations? Starting in the 1980s, internet freedom swept through the world and soon became the leading global cyber norm. This rise was propelled by US goals of increasing economic power and spreading democracy. Many countries that imported internet technologies, saw the economic benefits of the technologies, but with the import of the internet they also adopted loose market and content regulations. However, in the 2000s, the eruption of protests in the Middle East, Latin America, Africa, and across Asia, powered through internet-connected devices, increased the regime threat perception of authoritarian- leaning leaders. As a result, they started importing technology/techniques associated with internet sovereignty from China and Russia, who had, early-on, built up their information control capabilities. Beijing and Moscow, for their part, have actively promoted internet sovereignty diffusion to geographical areas that they conceived as their spheres of influence – the Commonwealth of Independent States for Russia and the Belt and Road Initiative for China. This thesis makes several main contributions. It builds a framework to distinguish the three cyber norms it studies: internet freedom, and the Chinese and Russian variants of internet sovereignty. This thesis also devises a neoclassical realist framework of International Relations, which focusses on explanatory variables at the unit level (perception underlying export/import) to explain the international expansion of internet freedom/sovereignty. Additionally, it updates the term of sovereignty to the digital age. Namely, with the diffusion of internet freedom/sovereignty norms, technological spheres of influence emerged, in which the US, China, and Russia have weakened countries’ Westphalian sovereignty and shaped their domestic and interdependence sovereignty.

Поступила: 18.07.2022. Принята в печать: 19.09.2022. Received: 18.07.2022. Accepted: 19.09.2022. Рассмотрены основные факторы, влияющие на эффективность автоматической системы распознавания объектов на радиолокационном изображении, полученном с помощью радиолокатора с синтезированной апертурой антенны. Разработан алгоритм кластеризации для выделения объектов на радиолокационном изображении. Приведены результаты применения алгоритма кластеризации радиолокационного изображения, позволяющего повысить вероятность правильного распознавания объектов. Приведен анализ эффективности применения алгоритма кластеризации в зависимости от порогового обнаружения. Разработана и приведена структура двухэтапной системы алгоритма автоматического распознавания объектов на радиолокационном изображении. The main factors influencing the efficiency of an automatic object recognition system in a radar image obtained with a synthetic aperture radar are considered A clustering algorithm of selecting objects on a radar image has been developed. The results of applying the radar image clustering algorithm, which makes it possible to increase the probability of correct recognition of objects, are presented. An analysis of the effectiveness of the application of the clustering algorithm depending on the threshold detection is given. The structure of the two-stage system of the algorithm of the automatic recognition of objects on a radar image has been developed and presented.