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Fazi, S. (author), Choudhary, Sourabh Kumar (author), Dong, Jing Xin (author)
We study a typical daily drayage problem concerning the last-mile logistics at seaports for inland container supply chains. A set of trucks available at an inland container terminal must fulfil shippers’ requests of transporting containers within time windows and, to do so, can perform multiple daily trips. A request may entail picking up or...
journal article 2023
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Putra, N.E. (author), Leeflang, M.A. (author), Klimopoulou, M. (author), Dong, J. (author), Taheri, P. (author), Huan, Z. (author), Fratila-Apachitei, E.L. (author), Mol, J.M.C. (author), Chang, J. (author), Zhou, J. (author), Zadpoor, A.A. (author)
The development of biodegradable Fe-based bone implants has rapidly progressed in recent years. Most of the challenges encountered in developing such implants have been tackled individually or in combination using additive manufacturing technologies. Yet not all the challenges have been overcome. Herein, we present porous FeMn-akermanite...
journal article 2023
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Du, Yunlu (author), Huang, Yunkai (author), Guo, Baocheng (author), Peng, Fei (author), Dong, J. (author)
This article proposes a nonlinear semianalytical model (SAM) of the multiphase Halbach array axial flux permanent-magnet motor (AFPMM) to speed up the computation of its magnetic field. Compared to the existing analytical models, the proposed nonlinear SAM can directly consider magnetic saturation to obtain more accurate results. To this end,...
journal article 2023
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Hawrylycz, Michael (author), Martone, Maryann E. (author), Ascoli, Giorgio A. (author), Bjaalie, Jan G. (author), Dong, Hong Wei (author), Ghosh, Satrajit S. (author), Gillis, Jesse (author), Haynor, David R. (author), Lelieveldt, B.P.F. (author)
Characterizing cellular diversity at different levels of biological organization and across AU data: Ple modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain...
journal article 2023
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Du, Jinqing (author), Li, G. (author), Guo, Mingxing (author), Lu, Wenyi (author), Dong, Qijuan (author), Zhuang, Linzhong (author)
In present work, the formation, evolution, and distribution of the primary Fe-rich phase in an Al–Mg–Si–Cu–Zn–Fe–Mn alloy are coupling controlled by ultrasonic melt treatment (USMT) and thermomechanical processing (TMP). It is shown in the results that the size of grains and Fe-rich phase in the as-cast state can be greatly reduced by the...
journal article 2023
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Du, Yunlu (author), Huang, Yunkai (author), Guo, Baocheng (author), Peng, Fei (author), Yao, Y. (author), Dong, J. (author)
This article proposes a hybrid analytical model (HAM) for predicting ac copper losses in hairpin windings. The HAM combines the nonlinear semi-analytical model (SAM) and the 1-D ac copper loss computation model to solve the inaccurate boundary solutions of the 1-D ac copper loss computation model when magnetic saturation occurs in the stator...
journal article 2023
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Zhu, G. (author), Dong, J. (author), Grazian, F. (author), Bauer, P. (author)
This article presents a parameter recognition-based impedance tuning method for the impedance mismatch caused by capacitance drift and coil misalignment in series-series-compensated wireless power transfer (WPT) systems. First, a parameter recognition method is proposed to identify the unknown parameters of the resonant circuits by only...
journal article 2023
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Du, Yunlu (author), Huang, Yunkai (author), Guo, Baocheng (author), Peng, Fei (author), Yao, Yu (author), Dong, J. (author)
In this article, a new analytical model for predicting the magnetic field of the U-shaped interior permanent magnet motor (IPMM) is proposed. In the polar coordinates, rectangular permanent magnets are equivalent to the combination of consistent fan-shaped subdomains, and after that, the Laplace or Poisson equation of each solution domain can...
journal article 2023
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Yu, G. (author), Dong, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)
This paper introduces variable-frequency zero voltage switching (ZVS) modulation strategy for the four-switch buck+boost converter with one operating pattern for the inductor current, i.e., three-segment inductor current modulation control. The proposed modulation scheme guarantees a smooth transition from step-up to step-down or from step-down...
conference paper 2023
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Li, Ruohan (author), Dong, Y. (author)
Lane detection is crucial for vehicle localization which makes it the foundation for automated driving and many intelligent and advanced driving assistant systems. Available vision-based lane detection methods do not make full use of the valuable features and aggregate contextual information, especially the interrelationships between lane...
journal article 2023
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Ruan, Tiancheng (author), Wang, Hao (author), Jiang, Rui (author), Li, Xiaopeng (author), Xie, N. (author), Xie, Xinjian (author), Hao, Ruru (author), Dong, Changyin (author)
Urged by a close future perspective of a traffic flow made of a mix of human-driven vehicles and automated vehicles (AVs), research has recently focused on studying the traffic flow characteristics of Adaptive Cruise Controls (ACCs), the most typical AV. However, in most works, the ACC system is studied under a simplifying and unrealistic...
journal article 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)
Medical waste recycling and treatment has gradually drawn concerns from the whole society, as the amount of medical waste generated is increasing dramatically, especially during the pandemic of COVID-19. To tackle the emerging challenges, this study designs a reverse logistics system architecture with three modules, i.e., medical waste...
conference paper 2023
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Zhang, Li (author), Dong, Y. (author), Farah, H. (author), van Arem, B. (author)
The gradual deployment of automated vehicles (AVs) results in mixed traffic where AVs will interact with human-driven vehicles (HDVs). Thus, social-aware motion planning and control while considering interactions with HDVs on the road is critical for AVs' deployment and safe driving under various maneuvers. Previous research mostly focuses on...
conference paper 2023
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Yuan, Henan (author), Li, Penghui (author), van Arem, B. (author), Kang, Liujiang (author), Farah, H. (author), Dong, Y. (author)
Traffic scenarios in roundabouts pose substantial complexity for automated driving. Manually mapping all possible scenarios into a state space is labor-intensive and challenging. Deep reinforcement learning (DRL) with its ability to learn from interacting with the environment emerges as a promising solution for training such automated driving...
conference paper 2023
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Dong, Y. (author), Datema, T. (author), Wassenaar, V. (author), van de Weg, J.J. (author), Kopar, C.T. (author), Suleman, H.I. (author)
Developing and testing automated driving models in the real world might be challenging and even dangerous, while simulation can help with this, especially for challenging maneuvers. Deep reinforcement learning (DRL) has the potential to tackle complex decision-making and controlling tasks through learning and interacting with the environment,...
conference paper 2023
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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...
conference paper 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)
With social progress and the development of modern medical technology, the amount of medical waste generated is increasing dramatically. The problem of medical waste recycling and treatment has gradually drawn concerns from the whole society. The sudden outbreak of the COVID-19 epidemic further brought new challenges. To tackle the challenges,...
conference paper 2023
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Dong, Yicong (author), Dowling, K.M. (author), Ghandiparsi, Soroush (author), Voss, Lars (author), Rakheja, Shaloo (author)
In this work, we demonstrate and model the deep-level defect physics of semi-insulating gallium arsenide bulk photoconductive semiconductor switches (PCSS) with gap size of 10 μ and 25 μ in dark-mode operation. Experimental measurements up to biasing field of 10 kV/cm show near-bistable characteristics in the dark-mode current-voltage...
journal article 2023
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Zhang, Li (author), Dong, Y. (author), Farah, H. (author), van Arem, B. (author)
The gradual deployment of automated vehicles (AVs) results in mixed traffic where AVs will interact with human-driven vehicles (HDVs). Thus, social-aware motion planning and control while considering interactions with HDVs on the road is critical for AVs’ deployment and safe driving under various maneuvers. Previous research mostly focuses on...
poster 2023
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Zhu, G. (author), Dong, J. (author), Bauer, P. (author)
It is ideal for the wireless power transfer (WPT) systems to operate at the resonance state for better transmission performance. In practice, however, the parameters of the resonant circuits often deviate because of the capacitance drift and coil misalignment. To this end, this paper proposes a new parameter estimation method for the WPT systems...
conference paper 2023
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