The electromagnetic interference (EMI) problem caused by power electronic switching devices and pulse width modulation (PWM) affects the normal operation of the motor drive system. In this paper, a random PWM based on...
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Triboelectric nanogenerators (TENGs) are efficient, sustainable, low-maintenance, and environment-friendly power sources that are suitable for wireless, portable, and wearable devices. This study, for the first time, ...
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Triboelectric nanogenerators (TENGs) are efficient, sustainable, low-maintenance, and environment-friendly power sources that are suitable for wireless, portable, and wearable devices. This study, for the first time, presents a vertical contact mode TENG utilizing a thin film of silk and copper film as the triboelectric pair. This contact separation mode TENG is highly flexible, cost-effective, and biocompatible. The silk triboelectric layer is spin-coated on a PET sheet which serves as the flexible substrate of the TENG. The response was maximized by enhancing the surface roughness of the copper film, which in turn increases the contact area during triboelectrification, leading to an increase in charge generation. The optimized TENG yielded a maximum output voltage of 350 $V_{pp}$ and a power density of 4 $W/m^{2}$ and was able to power up commercially available LEDs. Repeatability analysis and TENG performance at different forces yielded satisfactory results. IEEE
The conventional differential boost inverters have limited voltage gain due to the inductor's parasitic resistance, which limits the output voltage ranges as the duty cycle approaches unity and causes a narrow inp...
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Bilevel optimization has been recently applied to many machine learning tasks. However, their applications have been restricted to the supervised learning setting, where static objective functions with benign structur...
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Bilevel optimization has been recently applied to many machine learning tasks. However, their applications have been restricted to the supervised learning setting, where static objective functions with benign structures are considered. But bilevel problems such as incentive design, inverse reinforcement learning (RL), and RL from human feedback (RLHF) are often modeled as dynamic objective functions that go beyond the simple static objective structures, which pose significant challenges of using existing bilevel solutions. To tackle this new class of bilevel problems, we introduce the first principled algorithmic framework for solving bilevel RL problems through the lens of penalty formulation. We provide theoretical studies of the problem landscape and its penalty-based (policy) gradient algorithms. We demonstrate the effectiveness of our algorithms via simulations in the Stackelberg game and RLHF. Copyright 2024 by the author(s)
An accurate classification method is highly required in the development of a fault detection system. Various deep-learning techniques have recently been used for fault classification. However, optimally training deepe...
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We propose a perturbative design method for engineering quasi-isospectrality in multidimensional photonic systems. Our study provides platform-transparency alleviating mathematical strictness of supersymmetric transfo...
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Free space optical communication is a potential technology that exploits the visible light frequency band for communication. In this paper, a free-space optical link (FSOL) optimization in visible light communication ...
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This experimental study uses the NREL S809 airfoil to evaluate how solidity affects the performance of a hybrid Savonius-Darrieus wind turbine. To assess its effects on power coefficient, starting torque, and other pe...
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We investigate modal localization of light in disordered hyperbolic lattices. We examine modal area at the bulk of a disordered hyperbolic lattice, which demonstrates that high degree in the lattice leads to the deloc...
Ag-alloyed Cu(In,Ga)Se₂ (ACIGS) is a promising material for the bottom subcell in tandem solar cell structures, offering a tunable bandgap that spans the optimal range for maximum efficiency;however, the bandgap widen...
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