Among the strategies of the fifth and beyond generations of communications (B5G/6G) to manage massive connected objects and their increased experience requirements, using relays is gaining much interest. Particularly,...
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ISBN:
(纸本)9798331515935;9783903176690
Among the strategies of the fifth and beyond generations of communications (B5G/6G) to manage massive connected objects and their increased experience requirements, using relays is gaining much interest. Particularly, the infrastructure supporting applications such as Rescue Operations can beneficially use relay-empowered approaches for efficient disaster management in a city. Several works propose analytical models providing a big picture of the performance expected in large scale deployments. Conversely, real-world testings at a lower scale show performance for more concrete but very limited scenarios. This paper proposes a simulation based approach to evaluation of such applications. It uses an event-based urban traffic modelling that accelerates large-scale simulation, even at the level of a city. It also uses propagation models designed from real-world measurements performed on mobile operator 5G infrastructure to obtain performance results close to reality. The evaluations over a relay-empowered 5G network including one base station, 180 relays and up to 350 vehicles in an urban city, show the gain on metrics such as end-to-end delay and communication speed when using relays.
Advancements in autonomous agents have led to an increasingly ubiquitous presence of robots in human environments where social and physical interaction is expected. Such environments are often composed of heterogeneou...
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ISBN:
(纸本)9798350336702
Advancements in autonomous agents have led to an increasingly ubiquitous presence of robots in human environments where social and physical interaction is expected. Such environments are often composed of heterogeneous agents with disparate action capabilities, intentions, and motivations. Intra- and inter-agent dissimilarity often prevents enacting effective behavioral skills (e.g., collaboration, communication, coordination) towards dynamic task allocation objectives. We propose a Bayesian probabilistic inference approach, Multi-Robot Belief Propagation with Identity constraints (MRPBI), for 1) decentralized task allocation in multi-agent systems and 2) modeling task affinity using personal identities. MRPBI leverages competing costs of individual and group capabilities that result in less error-prone convergence to steady state, scalability without loss of accuracy, and sensitivity to environmental dynamics. An implementation of MRBP-I as a distributed algorithm that weighs factors of both individual and cooperative perception in an energy-minimizing task allocation scheme is presented.
The security and reliability of the Internet routing systems are of great significance for cybersecurity. To accurately depict the behavioral characteristics of the routing system, this paper proposes a modeling techn...
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ISBN:
(纸本)9798350350227;9798350350210
The security and reliability of the Internet routing systems are of great significance for cybersecurity. To accurately depict the behavioral characteristics of the routing system, this paper proposes a modeling technique for the Internet routing systems based on knowledge graphs. By collecting and analyzing multi-source topology and routing data, it intricately describes complex associations and correspondences among ASes, prefixes, IPs, routers, geographical locations, and other dimensions. By querying and analyzing these relationships, the modeling technique infers implicit features within the routing system, or RPKI system. This inference, in turn, provides valuable insights into key node identification, prefix hijacking detection, and analysis of conflicts between route announcement and ROA authentication.
Manipulating deformable objects is a ubiquitous task in household environments, demanding adequate representation and accurate dynamics prediction due to the objects' infinite degrees of freedom. This work propose...
ISBN:
(纸本)9798350384581;9798350384574
Manipulating deformable objects is a ubiquitous task in household environments, demanding adequate representation and accurate dynamics prediction due to the objects' infinite degrees of freedom. This work proposes DeformNet, which utilizes latent space modeling with a learned 3D representation model to tackle these challenges effectively. The proposed representation model combines a PointNet encoder and a conditional neural radiance field (NeRF), facilitating a thorough acquisition of object deformations and variations in lighting conditions. To model the complex dynamics, we employ a recurrent state-space model (RSSM) that accurately predicts the transformation of the latent representation over time. Extensive simulation experiments with diverse objectives demonstrate the generalization capabilities of DeformNet for various deformable object manipulation tasks, even in the presence of previously unseen goals. Finally, we deploy DeformNet on an actual UR5 robotic arm to demonstrate its capability in real-world scenarios.
The use of large-scale LEO constellations to provide network and communication services is one of the emerging technologies to bridge the digital divide between urban and remote areas. Many companies have been impleme...
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ISBN:
(纸本)9781538674628
The use of large-scale LEO constellations to provide network and communication services is one of the emerging technologies to bridge the digital divide between urban and remote areas. Many companies have been implementing commercial deployments of large-scale LEO constellations, some of which are gradually putting into use. Unfortunately, due to the dramatic increase in constellation size, conventional satellite system performance simulation methods are no longer applicable. How to accurately analyze and quickly simulate the network performance of large-scale LEO constellations has become a hot research topic. In this paper, a method for analyzing the performance of large-scale LEO constellations based on stochastic geometry is presented. We solve the problem of performance analysis for constellations of satellites at different altitudes by modeling the positions of satellites as a Poisson point process in a 3D spherical cap space and deriving an expression for the coverage probability. To reduce the gap between the theoretical model and the actual simulation, we propose a large-scale LEO constellation simulation framework based on stochastic geometry. In addition, we have compared our simulation methods with state-of-the-art simulation software, and the statistical results prove that our simulation time is more efficient with the same accuracy rate.
This publication showcases the sector-specific transformations associated with the energy transition and the strive for carbon neutrality in Germany. The interconnectedness of sector-coupled energy systems and the nec...
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ISBN:
(纸本)9798350361506;9798350361490
This publication showcases the sector-specific transformations associated with the energy transition and the strive for carbon neutrality in Germany. The interconnectedness of sector-coupled energy systems and the necessity for simulations capable of modeling the behavior of such systems is emphasized. The fundamentals of a state-space based modeling approach applicable for steady-state and transient analysis are introduced. Its application for the holistic calculation of sector-coupled energy systems relying on sector-specific equivalent circuit diagrams is presented.
This paper focuses on the implementation of bidirectional railway substations with interleaved PWM rectifiers to optimize regenerative braking energy. Introducing innovative technology to replace traditional diode-bas...
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This study proposes a collaborative innovation model for science and technology in the Yangtze River Delta region, with government, enterprises, and higher education institutions as the main entities. Based on multi-A...
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In this study, a viable solution of the modeling of a three-dimensional SiC MOSFET with flexible parameter settings was proposed. Based on the finite element simulation, a reliable simulation of power cycling was buil...
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Spaceborne bistatic Synthetic Aperture Radar (SAR) has the advantages of multi-angle coverage, high-resolution imaging, and all-weather, all-day operational capability, making it highly valuable for sea surface target...
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