document

Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization

Ning, Lingbin (author), Zhou, Min (author), Hou, Zhuopu (author), Goverde, R.M.P. (author), Wang, Fei Yue (author), Dong, Hairong (author)

This paper proposes a novel train trajectory optimization approach for high-speed railways. We restrict our attention to single train operation scenarios with different scheduled/rescheduled running times aiming at generating optimal train recommended trajectories in real time, which can ensure punctuality and energy efficiency of train...

journal article 2022

document

Car-Following Properties of a Commercial Adaptive Cruise Control System: A Pilot Field Test

Raju, Narayana (author), Schakel, W.J. (author), Reddy, N. (author), Dong, Y. (author), Farah, H. (author)

Automated driving systems, which can take over certain dynamic driving tasks from the driver, are becoming increasingly available in commercial vehicles. One of these automated driving systems widely introduced in commercial vehicles is Adaptive Cruise Control (ACC). This system is designed to maintain certain desired driving speeds and time...

journal article 2022

document

Active Disturbance Rejection Control for Uncertain Nonlinear Systems With Sporadic Measurements

He, K. (author), Dong, Chaoyang (author), Wang, Qing (author)

This paper deals with the problem of active disturbance rejection control (ADRC) design for a class of uncertain nonlinear systems with sporadic measurements. A novel extended state observer (ESO) is designed in a cascade form consisting of a continuous time estimator, a continuous observation error predictor, and a reset compensator. The...

journal article 2022

document

Modeling the Spectral Sensitivity of Singlet Oxygen Induced by Photochemical Reactions in Cells

Wang, T. (author), Dong, Jianfei (author)

Anti-fungal blue light (ABL) therapies are based on the photochemical reaction of endogenous photosensitizer (PS) in fungal cells. Knowing the spectral sensitivity of these cells for the ability to generate singlet oxygen is thus important to determine the most effective wavelength of such light therapies, and thereby to design ABL...

journal article 2022

document

Analyzing efficacy and safety of anti-fungal blue light therapy via kernel-based modeling the reactive oxygen species induced by light

Wang, T. (author), Dong, Jianfei (author), Zhang, Kouchi (author)

Objective: The goal of this study is to investigate the efficacy, safety, and mechanism of ABL for inactivating Candida albicans (C. albicans), and to determine the best wavelength for treating candida infected disease, by experimental measurements and dynamic modeling. Methods: The changes in reactive oxygen species (ROS) in C. albicans and...

journal article 2022

document

A Novel Hybrid Analytical Model of Active Magnetic Bearing Considering Rotor Eccentricity and Local Saturation Effect

Cao, Zhi (author), Huang, Yunkai (author), Guo, Baocheng (author), Peng, Fei (author), Dong, J. (author), Hemeida, Ahmed (author)

To facilitate the active magnetic bearing (AMB) design and analysis, an accurate and fast model that considers both rotor eccentricity and the saturation effect is necessary. In this article, a novel hybrid analytical model (HAM) for effective calculation of the magnetic field of the AMB is proposed. Eccentricity and local saturation are...

journal article 2022

document

Continuous Reduced-Order Dynamic Model Based on Energy Balancing for Inductive Power Transfer Systems

Shi, W. (author), Dong, J. (author), Soeiro, Thiago B. (author), Deng, Junjun (author), Riekerk, C. (author), Bauer, P. (author)

Resonant circuits are commonly used in inductive power transfer (IPT) systems for the charging of electric vehicles because of the high power efficiency. Transient behaviors of the resonant circuits, which play a significant role in the design and analysis of IPT systems, are cumbersome to model analytically because of the high-order. This...

journal article 2022

document

Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network

Dong, Y. (author), Chen, Kejia (author), Peng, Yinxuan (author), Ma, Zhiyuan (author)

As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is crucial to the security of vehicle driving. One of the best standards for the in-vehicle network is the Controller Area Network (CAN bus) protocol. However, the CAN bus is designed to be vulnerable to various attacks due to its lack of security...

conference paper 2022

document

Comparison of Two and Three-Level AC-DC Rectifier Semiconductor Losses with SiC MOSFETs Considering Reverse Conduction

Yu, G. (author), Soeiro, Thiago B. (author), Dong, J. (author), Bauer, P. (author)

This paper presents the semiconductor losses analytical equations in closed form for two-level voltage source converter, three-level neutral point clamped (NPC) and three-level T-Type PFC topologies in high power applications. The reverse parallel current conduction between the SiC MOSFETs channel and body diode is considered. A circuit...

conference paper 2022

document

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints

Zhao, Zhendong (author), Chen, Xiaojun (author), Xuan, Yuexin (author), Dong, Ye (author), Wang, Dakui (author), Liang, K. (author)

Backdoor attack is a type of serious security threat to deep learning models. An adversary can provide users with a model trained on poisoned data to manipulate prediction behavior in test stage using a backdoor. The backdoored models behave normally on clean images, yet can be activated and output incorrect prediction if the input is stamped...

conference paper 2022

document

MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction

Dong, Thi Ngan (author), Mucke, Stefanie (author), Khosla, M. (author)

Growing evidence from recent studies implies that microRNAs or miRNAs could serve as biomarkers in various complex human diseases. Since wet-lab experiments for detecting miRNAs associated with a disease are expensive and time-consuming, machine learning techniques for miRNA-disease association prediction have attracted much attention in...

journal article 2022

document

Enhancing luminous flux and color rendering of laser-excited YAG:Ce³⁺ single crystal phosphor plate via surface roughening and low-temperature sintering a CaAlSiN₃:Eu²⁺ phosphor-in-borate glass

Wei Chen, Chen (author), Cao, Dunhua (author), Dong, Yongjun (author), Xiong, Jingkang (author), Trofimov, Yuri (author), Lishik, Sergey (author), Zhang, Kouchi (author), Fan, J. (author)

Y₃Al₅O₁₂:Ce³⁺ (YAG:Ce³⁺) single crystal phosphor (SCP) exhibits high internal quantum efficiency (IQE) and excellent thermal conductivity and stability. Such properties are promising in high-power laser-excited white lighting applications. However, YAG:Ce³⁺ SCP usually shows...

journal article 2022

document

Chemo-Rheological Characterization of Aging Behaviors of Warm-Mix High-Viscosity Modified Asphalt

Chen, Bei (author), Dong, Fuqiang (author), Yu, Xin (author), Ren, S. (author), Zheng, Changjiang (author)

Today, high-viscosity modified asphalt (HVMA) is widely used in drainage asphalt pavements. However, due to its high construction temperature, HVMA is prone to thermal oxidative aging, which reduces its life cycle and increases the maintenance costs of asphalt pavements. In this study, the effects of warm-mix additives on the physical,...

journal article 2022

document

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

Farah, H. (author), Postigo, Ivan (author), Reddy, N. (author), Dong, Y. (author), Rydergren, Clas (author), Raju, Narayana (author), Olstam, Johan (author)

The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...

journal article 2022

document

Random forest incorporating ab-initio calculations for corrosion rate prediction with small sample Al alloys data

Ji, Y. (author), Li, Ni (author), Cheng, Zhanming (author), Fu, Xiaoqian (author), Sun, Xiaoguang (author), Chowwanonthapunya, Thee (author), Zhang, Dawei (author), Ren, Jingli (author), Dey, P. (author), Dong, Chaofang (author)

Corrosion jeopardizes the materials longevity and engineering safety, hence the corrosion rate needs to be forecasted so as to better guide materials selection. Although field exposure experiments are dependable, the prohibitive cost and their time-consuming nature make it difficult to obtain large dataset for machine learning. Here, we...

journal article 2022

document

Variation Regularity and Measurement of Zero-Sequence Inductance of Fractional Slot Concentrated Winding PMSMs

Zhu, Zichong (author), Deng, Jun (author), Dou, Xun (author), Mei, Lei (author), Huang, Yunkai (author), Dong, J. (author)

The zero-sequence inductance is a vital parameter for the performance analysis of permanent magnet machines, especially under faulty conditions or in open-winding machines. This paper focuses on the zero-sequence inductance calculation of fractional slot concentrated winding permanent magnet synchronous machines (FSCW-PMSMs), and reveals the...

journal article 2022

document

Nonlinear Semi-Analytical Model for Axial Flux Permanent-Magnet Machine

Guo, Baocheng (author), Du, Yunlu (author), Djelloul KHEDDA, Zakarya (author), Peng, Fei (author), Dong, J. (author), Huang, Yunkai (author), Frederic, Dubas (author), Boughrara, Kamel (author)

In this article, we propose a novel nonlinear semianalytical model (AM) for the magnetic field calculation of electric machines. The nonlinear properties and local saturation effect of the iron part are taken into consideration in Cartesian coordinates, which is the main contribution of the proposed model. Thus, high accuracy of...

journal article 2022

document

Compensation Method of Position Estimation Error for High-Speed Surface-Mounted PMSM Drives Based on Robust Inductance Estimation

Yao, Y. (author), Huang, Yunkai (author), Peng, Fei (author), Dong, J. (author), Zhu, Zichong (author)

This article proposes a compensation method of position estimation error for high-speed surface-mounted permanent magnet synchronous motors based on robust inductance estimation. The proposed method relies on the variation of the estimated δ-axis back back-electromotive force when a small current is injected into the γ axis. The inductance...

journal article 2022

document

A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection

Dong, Y. (author), Patil, Sandeep (author), Farah, H. (author), van Arem, B. (author)

Reliable and accurate lane detection is of vital importance for the safe performance of Lane Keeping Assistance and Lane Departure Warning systems. However, under certain challenging peculiar circumstances (e.g., marking degradation, serious vehicle occlusion), it is quite difficult to get satisfactory performance in accurately detecting the...

poster 2022

document

Design of singularity-free fixed-time fault-tolerant control for HFVs with guaranteed asymmetric time-varying flight state constraints

Zuo, Renwei (author), Li, Yinghui (author), Lv, Maolong (author), Liu, Zongcheng (author), Dong, Zehong (author)

This article solves the fixed-time trajectory tracking problem for hypersonic flight vehicles (HFVs) encountered with diverse actuator faults and asymmetric envelope constraints. In contrast to the state of the art, the crucial characteristics of our design lie in obviating the explosion of complexity of the conventional recursive design, and...

journal article 2022