Titlebook: Recent Trends and Advances in Model Based Systems Engineering; Azad M. Madni,Barry Boehm,Marilee Wheaton Conference proceedings 2022 The E

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A Survey of Super-Resolution Techniques for a Potential CubeSat Imagery System Architectureation, and research. Despite significant research into improving CubeSat operational efficiency, there remains one fundamental limitation of CubeSats for EO imaging applications: the small lenses and short focal lengths result in imagery with low spatial resolution. This paper reviews the previous r

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Data Analytics of a Honeypot System Based on a Markov Decision Process Modelrtant method in systems engineering research and machine learning. The data analytics of a honeypot system based on an MDP model is conducted using . language and its functions in this paper. Specifically, data analytics over a finite planning horizon (for an undiscounted MDP and a discounted MDP) a

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Dynamic Causal Hidden Markov Model Risk Assessment risk factors requires monitoring system parameters that contribute to making probabilistic inferences. We argue, however, that naïve use of statistical data without regard to causality can yield surprising and often erroneous risk predictions. Making reliable risk predictions is further complicated

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Ontological Modeling of Time and Time-Based Reasoning for Systems of Systemsreasing complexity of missions results into needs to leverage capabilities of constituent systems (CSs) in multiple domains, distributed geographically and temporally (different time zones) too. This introduces issues capable of hindering mission success including clock drifts and synchronization as

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Ontology-Enabled Hardware-Software Testbed for Engineering Adaptive Systemsnterest to government, industry, and research community. An instance of an adaptive system is a multi-UAV swarm operating in open, dynamic environment. Such systems are employed to carry out missions such as search and rescue and disaster relief. Developing adaptive systems requires a hardware-softw