Searched for: author%3A%22Wang%2C+J.%22
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Wang, J. (author), Li, Runlong (author), Zhang, Xinqi (author), He, Yuan (author)
As one of the crucial sensors for environment sensing, frequency modulated continuous wave (FMCW) radars are widely used in modern vehicles for driving assistance/autonomous driving. However, the limited frequency bandwidth and the increasing number of equipped radar sensors would inevitably cause mutual interference, degrading target...
journal article 2024
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Drdova, Sarka (author), Gao, Min (author), Sambalova, Olga (author), Pauer, Robin (author), Zhou, Zhouping (author), Dimitriadou, Sofia (author), Schmidt-Ott, A. (author), Wang, J. (author)
Photocatalyst synthesis typically involves multiple steps, expensive precursors, and solvents. In contrast, spark ablation offers a simple process of electrical discharges in a gap between two electrodes made from a desirable material. This enables a precursor- and waste-free generation of pure metal oxide nanoparticles or mixtures of various...
journal article 2024
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Cao, Chengtai (author), Chen, Xinhong (author), Wang, J. (author), Song, Q. (author), Tan, Rui (author), Li, Yung Hui (author)
Autonomous driving systems rely on precise trajectory prediction for safe and efficient motion planning. Despite considerable efforts to enhance prediction accuracy, inherent uncertainties persist due to data noise and incomplete observations. Many strategies entail formalizing prediction outcomes into distributions and utilizing variance to...
journal article 2024
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Wang, J. (author), Yan, Xin ping (author), Boersma, B.J. (author), Lu, Ming jian (author), Liu, Xiaohua (author)
Printed circuit heat exchangers (PCHE) are designed to improve heat recovery and energy saving in supercritical CO<sub>2</sub> (S-CO<sub>2</sub>) power cycles. In the current study, a modified channel PCHE is proposed based on the regular straight channel and a zigzag channel. The thermal–hydraulic performance of four different types of PCHE...
journal article 2023
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Song, Q. (author), Tan, Rui (author), Wang, J. (author)
Driver Behavior Modeling (DBM) aims to predict and model human driving behaviors, which is typically incorporated into the Advanced Driver Assistance System to enhance transportation safety and improve driving experience. Inverse reinforcement learning (IRL) is a prevailing DBM technique with the goal of modeling the driving policy by...
conference paper 2023
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Levajac, V. (author), Mazur, G.P. (author), van Loo, N. (author), Borsoi, F. (author), Badawy, Ghada (author), Gazibegovic, Sasa (author), Bakkers, Erik P.A.M. (author), Heedt, S. (author), Kouwenhoven, Leo P. (author), Wang, J. (author)
Semiconducting nanowire Josephson junctions represent an attractive platform to investigate the anomalous Josephson effect and detect topological superconductivity. However, an external magnetic field generally suppresses the supercurrent through hybrid nanowire junctions and significantly limits the field range in which the supercurrent...
journal article 2023
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Fečkan, Michal (author), Marynets, K. (author), Wang, J. (author)
We study a boundary value problem for a Caputo-type fractional differential equation subjected to periodic boundary conditions. For an auxiliary problem with the simplified right-hand side, we explicitly construct its unique solution. In addition, based on the theory of the topological index, we prove existence of at least one solution to the...
journal article 2023
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Lou, Yang (author), Song, Q. (author), Xu, Qian (author), Tan, Rui (author), Wang, J. (author)
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of each fusion input and may suffer from adverse conditions on one or more sensors. While predictive uncertainty has been applied to characterize single-modal object...
conference paper 2023
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Assabumrungrat, Rawin (author), Kumchaiseemak, N. (author), Wang, J. (author), Wang, D. (author), Punpeng, Phoom (author), Fioranelli, F. (author), Wilaiprasitporn, Theerawit (author)
We present a deep learning-based approach called DipSAR for reconstructing millimeter-wave synthetic aperture radar (SAR) images from sparse samples. The primary challenge lies in the requirement of a large training dataset for deep learning schemes. To overcome this issue, we employ the deep image prior (DIP) technique, which eliminates the...
conference paper 2023
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Tosato, A. (author), Levajac, V. (author), Wang, J. (author), Boor, Casper J. (author), Borsoi, F. (author), Botifoll, Marc (author), Sammak, A. (author), Veldhorst, M. (author), Scappucci, G. (author)
The co-integration of spin, superconducting, and topological systems is emerging as an exciting pathway for scalable and high-fidelity quantum information technology. High-mobility planar germanium is a front-runner semiconductor for building quantum processors with spin-qubits, but progress with hybrid superconductor-semiconductor devices is...
journal article 2023
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Levajac, V. (author), Wang, J. (author), Sfiligoj, C. (author), Lemang, M.F. (author), Wolff, J.C. (author), Bordin, A. (author), Badawy, G.H.A. (author), Gazibegovic, Sasa (author), Bakkers, Erik P.A.M. (author), Kouwenhoven, Leo P. (author)
Tunneling spectroscopy is widely used to examine the subgap spectra in semiconductor-superconductor nanostructures when searching for Majorana zero modes (MZMs). Typically, semiconductor sections controlled by local gates at the ends of hybrids serve as tunnel barriers. Besides detecting states only at the hybrid ends, such gate-defined...
journal article 2023
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Wang, J. (author)
Varying-length cable systems are widely applied in a vast class of engineering problems which arise in industrial, civil, aerospatial, mechanical, and automotive applications. Due to external excitations, large oscillations can occur when cables are lifted up or down. This phenomenon is caused by resonance. In general, resonance is harmful, and...
doctoral thesis 2022
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Wang, J. (author), Meeprasert, J. (author), Han, Z. (author), Wang, H. (author), Feng, Z. (author), Tang, C. (author), Sha, F. (author), Tang, S. (author), Pidko, E.A. (author)
The conversion of CO2 with high activity and high selectivity to methanol remains challenging because of both the kinetics and thermodynamics difficulties associated with the chemical reactivity of CO2. Herein, we report a new catalyst of Cd/TiO2 enabling 81% methanol selectivity at 15.8% CO2 conversion with the CH4 selectivity below 0.7%. The...
journal article 2022
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Wang, Jun-Min (author), Wang, J. (author), Zhang, Han-Wen (author)
In this paper, we consider the output feedback stabilisation of an axially moving string system subject to a spring-mass-dashpot boundary condition. By constructing an invertible backstepping transformation, we design a state feedback controller to stabilise the system. Next, we present an observer to estimate the states of the system, and...
journal article 2022
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Mazur, G.P. (author), van Loo, N. (author), Wang, J. (author), Dvir, T. (author), Wang, Guanzhong (author), Korneychuk, S. (author), Borsoi, F. (author), Dekker, R.C. (author), Badawy, G.H.A. (author), Vinke, Peter (author), Quintero Perez, M. (author), Heedt, S. (author), Kouwenhoven, Leo P. (author)
In superconducting quantum circuits, aluminum is one of the most widely used materials. It is currently also the superconductor of choice for the development of topological qubits. However, aluminum-based devices suffer from poor magnetic field compatibility. Herein, this limitation is resolved by showing that adatoms of heavy elements (e.g.,...
journal article 2022
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Li, G. (author), Meeprasert, J. (author), Wang, J. (author), Li, C. (author), Pidko, E.A. (author)
Supported metal catalysts have shown to be efficient for CO <sub>2</sub> conversion due to their multifunctionality and high stability. Herein, we have combined density functional theory calculations with microkinetic modeling to investigate the catalytic reaction mechanisms of CO <sub>2</sub> hydrogenation to CH <sub>3</sub>OH over a...
journal article 2022
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Wang, J. (author), Li, Runlong (author), He, Yuan (author), Yang, Yang (author)
In this article, the interference mitigation (IM) problem is tackled as a regression problem. A prior-guided deep learning (DL)-based IM approach is proposed for frequency-modulated continuous-wave (FMCW) radars. Considering the complex-valued nature of radar signals, a complex-valued convolutional neural network, which is different from the...
journal article 2022
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WANG, J. (author), Schrade, Constantin (author), Levajac, V. (author), van Driel, D. (author), Li, K. (author), Badawy, G.H.A. (author), Lee, J.S. (author), Kouwenhoven, Leo P. (author), Shen, Jie (author)
We study a Cooper pair transistor realized by two Josephson weak links that enclose a superconducting island in an InSb-Al hybrid nanowire. When the nanowire is subject to a magnetic field, isolated subgap levels arise in the superconducting island and, because of the Coulomb blockade, mediate a supercurrent by coherent cotunneling of Cooper...
journal article 2022
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Wang, J. (author), van Horssen, W.T. (author)
In this paper, we study a model of a flexible hoisting system, in which external disturbances exerted on the boundary can induce large vibrations, and so damage to the performance of the system. The dynamics is described by a wave equation on a slow time-varying spatial domain with a small harmonic boundary excitation at one end of the cable,...
journal article 2022
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Dong, Xichao (author), Zhao, Zewei (author), Wang, Yupei (author), Zeng, Tao (author), Wang, J. (author), Sui, Yi (author)
Recently, frequency-modulated continuous-wave (FMCW) radar-based hand gesture recognition (HGR) using deep learning has achieved favorable performance. However, many existing methods use extracted features separately, i.e., using one of the range, Doppler, azimuth, or elevation angle information, or a combination of any two, to train...
journal article 2022
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