The Inclined Geosynchronous Orbit (IGSO) satellite has garnered significant attention for its extensive coverage and high-latitude capabilities. Traditionally, tracking methods rely on Two Line Element (TLE) data for ...
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Interactions, organization, and emergent behaviors are fundamental to all complexsystems. These characteristics can be observed in every real-world scenario, prompting the question: how do these interactions among el...
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ISBN:
(纸本)9783031785474;9783031785481
Interactions, organization, and emergent behaviors are fundamental to all complexsystems. These characteristics can be observed in every real-world scenario, prompting the question: how do these interactions among elements serve as the foundation of complexsystems? Over the years, researchers have developed various methods to answer such a question. One widely used bottom-up approach is agent-based simulation, which deduces a system's properties by examining its components. Alternatively, a system can be modeled via a top-down approach, such as hypergraphs, mathematical structures abstracting higher-order interactions. These two methods provide different perspectives on the same system, each offering unique and valuable insights. In this Ph.D. project, my primary focus is on social systems, aiming to shed light on the dynamics of group behaviors in online social media.
AI and reinforcement learning (RL) have attracted great attention in the study of multiplayer systems over the past decade. Despite the advances, most of the studies are focused on synchronized decision-making to atta...
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In the context of modern services that use multiple Deep Neural Networks (DNNs), managing workloads on embedded devices presents unique challenges. These devices often incorporate diverse architectures, necessitating ...
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This paper explores advancements in underground drone technology, focusing on key systems that enable navigation, sensing, and communication in GPS-denied environments. It covers the integration of GPS, cameras, LiDAR...
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The use of modelling tools for the design of industrial systems is increasingly replacing the documentation production resulting from a classic system design process. One of the problems to be solved in order to fully...
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ISBN:
(纸本)9783031664557;9783031664564
The use of modelling tools for the design of industrial systems is increasingly replacing the documentation production resulting from a classic system design process. One of the problems to be solved in order to fully succeed in this transition is information confidentiality *** is also necessary to propose a system design process that allows an evolution through the whole design life cycle, and that guarantees a coherent design for a given level of confidentiality. To the best of our knowledge, neither current Model Based System engineering (MBSE) tools, nor academic research propose solutions to this specific issue. In this paper, we propose a model based system design process to manage elements belonging to different levels of confidentiality. The process guarantees a plurality of confidentiality levels in line with Bell-Lapadula security policies for the secure management of system design and specification, as required for the protection of national and coalition defense information. It includes the separation into enclaves and adaptations guaranteeing the preservation of confidentiality and integrity to authorized users. We describe how this process can be leveraged for current modelling tools by exploiting existing multi-user functionality.
This paper proposes an innovative CNN and RNN fusion algorithm to optimize the application of multimodal sensing technology in surveying and mapping data collection. The algorithm combines the data of multiple sensors...
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Activity recognition is one of the major tasks in computer science and engineering that aims to recognize and understand the actions of one or more agents from a series of observations. It assists different sectors in...
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We study the benefits of complex-valued weights for neural networks. We prove that shallow complex neural networks with quadratic activations have no spurious local minima. In contrast, shallow real neural networks wi...
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