In the mean-field approximation, the well-known effect of the critical quantum collapse in a 3D gas of particles pulled to the center by potential U(r) = −U0/(2r2) is suppressed by repulsive inter-particle interaction...
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Our goal is to develop real-time vehicle detection and tracking schemes for fisheye traffic monitoring video using the temporal information in the compressed domain without decoding the entire video. Two algorithms ar...
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Extracting word-level functions from gate-level circuits is challenging and crucial in security, synthesis, and verification applications. State-of-the-art approaches identify subcircuits to match against a predefined...
Extracting word-level functions from gate-level circuits is challenging and crucial in security, synthesis, and verification applications. State-of-the-art approaches identify subcircuits to match against a predefined library of components. However, they fail for highly-optimized arithmetic circuits due to the absence of intermediate word structures and the high complexity of verifying arithmetic functions. The challenge of learning arithmetic operations from gate-level netlists is posed in the 2022 ICCAD CAD Contest. This work tackles the challenge by devising and combining algebraic, statistical, and structural techniques into an operational flow for function extraction and simplification. Beyond the contest setting, our method also deals with circuits without their input-and output-pin information. Experiments on the contest benchmarks show that our method outperforms the winning teams in the contest in both the number of solved cases and the compactness of the extracted word-level expressions. Moreover, our method can effectively extract most word-level functions within 10 minutes.
An all-digital frequency-locked loop (DFLL) using a multi-phase clock-based 1 + 1/k divider has been proposed. This circuit can reduce the jitter of the output signal extremely small. However, it has the problem of a ...
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This paper proposes the Zero Harmonic Distortion Converter (ZHD) as a master converter (MC) for medium voltage microgrids, delivering sinusoidal waveforms in both grid-connected and islanded mode without sinusoidal ca...
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In this paper, we study the transmission strategy of a ground-based beyond diagonal reconfigurable intelligent surface (BD-RIS), a.k.a RIS 2.0, in a network where multiple unmanned aerial vehicles (UAVs) simultaneousl...
In this paper, we study the transmission strategy of a ground-based beyond diagonal reconfigurable intelligent surface (BD-RIS), a.k.a RIS 2.0, in a network where multiple unmanned aerial vehicles (UAVs) simultaneously transmit signals to the respective groups of users. It is assumed that each group is assigned subcarriers orthogonal to those assigned to other groups and rate splitting multiple access (RSMA) is adopted within each group. A corresponding mixed integer nonlinear programming problem (MINLP) is formulated, which aims to jointly optimize 1) allocation of BD-RIS elements to groups, 2) BD-RIS phase rotations, 3) rate allocation in RSMA, and 4) precoders. To solve the problem, we propose using generalized benders decomposition (GBD) augmented with a manifold-based algorithm. GBD splits the MINLP problem into two sub-problems, namely the primal and the relaxed master problem, which are solved alternately and iteratively. In the primal problem, we apply block coordinate descent (BCD) to manage the coupling of variables effectively. Moreover, we recognize the manifold structure in the phase rotation constraint of BD-RIS, enabling the Riemannian conjugate gradient (RCG). Simulation results demonstrate the effectiveness of the proposed approach in maximizing spectral efficiency.
The mutual information is analyzed as a function of the input distribution using an identity due to Topsøe for channels with (possibly multiple) linear constraints and finite input and output sets. The mutual inf...
The mutual information is analyzed as a function of the input distribution using an identity due to Topsøe for channels with (possibly multiple) linear constraints and finite input and output sets. The mutual information is bounded above by a function decreasing quadratically with the distance to the set of all capacity-achieving input distributions for the case when the distance is less than a certain threshold. Explicit expressions for the threshold and the coefficient of the quadratic decrease are derived. A counter-example is provided demonstrating the non-existence of such a quadratic bound in the case of infinitely many linear cost constraints. Implications of these observations for the channel coding problem and applications of the proof technique to related problems are discussed.
In this study, the experimental performance of a commercial heat pump tumble dryer (HPTD) system integrated with photovoltaic (PV) was evaluated using energy and exergy analysis. Additionally, a sustainability and exe...
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Bionic prosthetic hands are widely utilised to support people who have upper limb amputations and incapability by making it movable and controllable. However, the price of bionic prosthetic arms in the current market ...
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This study presents a comprehensive analysis of Terminal Sliding Mode Control (TSMC) and Super Twisting Sliding Mode Control (SOSMC), in the context of full-bridge single-phase inverters. The controllers are designed ...
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ISBN:
(数字)9781665464543
ISBN:
(纸本)9781665464550
This study presents a comprehensive analysis of Terminal Sliding Mode Control (TSMC) and Super Twisting Sliding Mode Control (SOSMC), in the context of full-bridge single-phase inverters. The controllers are designed to output current control of the single-phase inverter. Simulation studies are performed on MATLAB/Simulink platform to investigate the dynamic responses, steady-state error, ripple magnitude and total harmonic distortion (THD). The results indicate that TSMC offers faster response times but suffers from significant undershoot and higher steady-state errors. Conversely, SOSMC demonstrates superior performance with lower steady-state error, reduced ripple and significantly less harmonic distortion. These findings highlight the relative advantages and disadvantages of each control strategy, providing valuable insights for their application in both academic research and industrial practice.
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