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Pan, J. (author), Ferreira, Carlos (author), van Zuijlen, A.H. (author)
This study investigates the implementation of the vortex particle method (VPM) with the goal of efficiently and accurately estimating the power performances and flow characteristics for a Savonius rotor. The accuracy and efficiency of simulation methods are critical for the reliable design of Savonius rotors. Among various approaches, VPM is...
journal article 2022
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Lv, Maolong (author), Li, Yongming (author), Pan, W. (author), Baldi, S. (author)
This article proposes a fuzzy adaptive design solving the finite-time constrained tracking for hypersonic flight vehicles (HFVs). Actuator dynamics and asymmetric time-varying constraints are considered when solving this problem. The main features of the proposed design lie in 1) introducing a novel piecewise but differentiable switching...
journal article 2022
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Someya, T. (author), Van Hoek, Vincent (author), Angevare, J. (author), Pan, S. (author), Makinwa, K.A.A. (author)
This letter describes an NPN-based temperature sensor that achieves a 1-point trimmed inaccuracy of ±0.15 °C (3σ) from -15 to 85 °C while dissipating only 210 nW. It uses a dual-mode frontend to roughly halve the power consumption of conventional frontends. First, two NPNs are used to generate a well-defined PTAT bias current, then this...
journal article 2022
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Gu, D. (author), Pan, Jinlong (author), Lukovic, M. (author), He, Jixuan (author)
Application of fiber-reinforced polymer (FRP) reinforcement in concrete beams may cause large deflection and crack width, as well as low shear capacity and ductility due to relatively small stiffness of FRP materials. To avoid these unfavorable factors and evaluate the shear behavior of FRP-reinforced structural members, a high-performance...
journal article 2022
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Pan, K. (author), Palensky, P. (author), Mohajerin Esfahani, P. (author)
The main objective of this article is to develop scalable dynamic anomaly detectors with high-fidelity simulators of power systems. On the one hand, models in high-fidelity simulators are typically 'intractable' if one opts to describe them in a mathematical formulation in order to apply existing model-based approaches from the anomaly...
journal article 2022
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Zhou, Yujue (author), Zheng, Yonglai (author), Liu, Yongcheng (author), Pan, Tanbo (author), Zhou, Y. (author)
Vibration-based structural damage detection (SDD) has been a subject of intense research in structural health monitoring (SHM) for large civil engineering structures over the decades. The performance of the conventional SDD approaches predominantly relies on the rational choices of the damage feature and classifier. Hand-crafted features or...
journal article 2022
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Someya, T. (author), Van Hoek, Vincent (author), Angevare, J. (author), Pan, S. (author), Makinwa, K.A.A. (author)
This paper presents a 210nW BJT-based temperature sensor that achieves an inaccuracy of ±0.15°C (3s) from -15°C to 85°C. A dual-mode front-end (FE), which combines a bias circuit and a BJT core, halves the power needed to generate well-defined CTAT (VBE) and PTAT (?VBE) voltages. The use of a tracking ?S ADC reduces FE signal swing and...
conference paper 2022
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Zhou, H. (author), Chahine, I. (author), Zheng, Wei Xing (author), Pan, W. (author)
This paper proposes a sparse Bayesian treatment of deep neural networks (DNNs) for system identification. Although DNNs show impressive approximation ability in various fields, several challenges still exist for system identification problems. First, DNNs are known to be too complex that they can easily overfit the training data. Second, the...
journal article 2022
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Gu, D. (author), Mustafa, S. (author), Pan, Jinlong (author), Lukovic, M. (author)
The bond between concrete and reinforcement is one of the critical parameters influencing the structural behavior of reinforced concrete (RC). This research proposes a mathematical methodology to scale the reinforcement-concrete bond-slip relationship in a beam lattice modeling framework. A simplified, generalized approach based on stochastic...
journal article 2022
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Yin, Kangting (author), Jiang, Yaqing (author), Wang, Yu (author), Zhao, Wenhao (author), Pan, Zhenghua (author), Li, Z. (author)
One-part alkali-activated slag (AAS) as a binder material has a promising application in the construction industry. The properties of one-part AAS incorporating agricultural wastes have been seldom studied. In this paper, the fresh and hardened properties of one-part AAS with the addition of rice straw powder (RSP) were investigated. The...
journal article 2022
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Liang, Peijie (author), Pan, Zhiliang (author), Tang, Liang (author), Zhang, Kouchi (author), Yang, Daoguo (author), He, Siliang (author), Yan, Haidong (author)
Based on molecular dynamics (MD), in this study, a model was established to simulate the initial coating morphology of silver paste by using a random algorithm, and the effects of different sizes of particles on sintering porosity were also analyzed. The MD result reveals that compared with the sintering process using large-scale silver...
journal article 2022
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Campos de Oliveira, A. (author), Pan, Sining (author), Wiegerink, Remco J. (author), Makinwa, K.A.A. (author)
This article presents a microelectromechanical system (MEMS) Coriolis-based mass-flow-to-digital converter (Φ DC) that can be used with both liquids and gases. It consists of a micromachined Coriolis mass flow sensor and a CMOS interface circuit that drives it into oscillation and digitizes the resulting mass flow information. A phase-locked...
journal article 2022
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Pan, W. (author)
Indoor arenas are important public buildings catering for various activities (e.g., sports events, stage performances, assemblies, exhibitions, and daily sports for the public) and serving as landmarks in urban contexts. The multi-functional space and long-span roof structure of an indoor arena are highly interrelated, which impact the multi...
doctoral thesis 2021
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Pan, S. (author)
This thesis describes the design and implementation of integrated temperature sensors based on the temperature dependency of CMOS resistors.
doctoral thesis 2021
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Pan, Haining (author), Liu, Chun Xiao (author), Wimmer, M.T. (author), Das Sarma, Sankar (author)
Majorana zero modes can appear at the wire ends of a one-dimensional topological superconductor and manifest themselves as a quantized zero-bias conductance peak in the tunneling spectroscopy of normal-superconductor junctions. However, in superconductor-semiconductor hybrid nanowires, zero-bias conductance peaks may arise owing to...
journal article 2021
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Pan, Yutrao (author), Hicks, M.A. (author), Broere, W. (author)
Artificial barriers are widely used to prevent leakages. However, due to construction errors during the wall installation, passages with small dimensions may occasionally penetrate through the barrier, undermining its tightness. A three-dimensional discretized algorithm (TDA) is proposed for quantitatively estimating the transient-state...
journal article 2021
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Zhang, Q. (author), Pan, W. (author), Reppa, V. (author)
This paper presents a novel model-reference reinforcement learning algorithm for the intelligent tracking control of uncertain autonomous surface vehicles with collision avoidance. The proposed control algorithm combines a conventional control method with reinforcement learning to enhance control accuracy and intelligence. In the proposed...
journal article 2021
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Wu, Chengwei (author), Yao, Weiran (author), Pan, W. (author), Sun, Guanghui (author), Liu, Jianxing (author), Wu, Ligang (author)
This article investigates the secure control problem for cyber-physical systems when the malicious data are injected into the cyber realm, which directly connects to the actuators. Based on moving target defense (MTD) and reinforcement learning, we propose a novel proactive and reactive defense control scheme. First, the system (A,B) is...
journal article 2021
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Han, Minghao (author), Tian, Yuan (author), Zhang, Lixian (author), Wang, J. (author), Pan, W. (author)
Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data evaluated by certain performance criteria through trial-and-error. However, the data-based learning approach is notorious for not guaranteeing stability, which is...
journal article 2021
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Wang, H. (author), Wang, Lizhong (author), Hong, Yi (author), Askarinejad, A. (author), He, Ben (author), Pan, Hualin (author)
The large-diameter monopiles are the most preferred foundation used in offshore wind farms. However, the influence of pile diameter and aspect ratio on the lateral bearing behavior of monopiles in sand with different relative densities has not been systematically studied. This study presents a series of well-calibrated finite-element (FE)...
journal article 2021
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