With the growing application of composite materials in sectors such as aerospace, automotive, and wind energy, accurately assessing their mechanical properties is critical for effective non-destructive testing (NDT) a...
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Field-programmable gate arrays (FPGAs) and field-programmable analog arrays (FPAAs) are reconfigurable circuits that enable flexible digital and analog implementations post-manufacturing. FPGAs are widely used in tele...
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We develop a 3D gradient-based inverse design model specially tailored for the LNOI platform, and experimentally demonstrate a spatial-mode multiplexer, a waveguide crossing and a compact waveguide bend with low loss ...
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Litz wire is known for its ability to minimize winding losses in high-frequency applications. However, its implementation in PCB winding poses significant challenges. This paper presents a novel PCB Litz wire concept ...
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Due to the heavy integration of cyber and communication networks to microgrids, cyber disruptions can more adversely impact the entire grid and distort the load supply. Therefore, this paper focuses on developing a cy...
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Federated multi-armed bandits extend the multi-armed bandits framework to the federated learning setting where multiple clients in the same exploration space collaboratively identify the optimal arm. While previous st...
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Federated multi-armed bandits extend the multi-armed bandits framework to the federated learning setting where multiple clients in the same exploration space collaboratively identify the optimal arm. While previous studies demonstrated its efficiency like classical federated learning, in this paper, we present the first work that reveals the serious fairness problem in federated multi-armed bandits when clients have heterogeneous and overlapping armsets. The fairness problem happens because clients with different trial requirements should conduct different numbers of trials summing up to a global requirement, but they wish to minimize their exploration effort. To address the novel fairness concern, we formally formulate the fairness-aware trial assignment as a coalitional game. Based on the theoretically derived trial requirements, we devise a Shapley value-based trial assignment mechanism to guarantee fairness. Regardless of the #P-hard complexity when deriving the general Shapley value, we achieve an accurate computation of trial assignment with polynomial complexity by exploiting its unique characteristic. We further carefully control the numbers of trials in each iteration to resolve the communication bottleneck and minimize the wasted trials. Experiment results show that, compared to the naïve federated scheme, our design outperforms with both high fairness metrics and high efficiency in total trials and communication. IEEE
Rapid integration of cyber and communication networks in microgrids for getting measurements and relaying controls foreshadows many necessary applications such as Load Frequency Control (LFC). The intermittent nature ...
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Computational electromagnetics (CEM) seeks numerical solutions to practical engineering problems involving electromagnetic fields and waves and their interactions with materials and designed structures and systems. Wh...
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The analysis and performance of a proposed high step-down DC-DC converter without employing transformers are discussed in this article. The operating principle of the control signals in this proposed converter is simi...
This article proposes the concept of a platform for the development, accumulation and use of specialised applications - chatbots - that automate functions related to providing information, placing orders and fulfillin...
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