document

Effects of Ultrafine Blast Furnace Slag on the Microstructure and Chloride Transport in Cementitious Systems under Cyclic Drying–Wetting Conditions

Li, Wei (author), Yi, Liming (author), Jiang, Wen (author), Dong, H. (author), Zhang, Yong (author)

This paper presents experimental investigations into the effects of ultrafine blast furnace slag on microstructure improvements against chloride penetration in saturated and unsaturated cementitious systems exposed to cyclic drying–wetting conditions. The hydration kinetics of ultrafine slag powders and pore solution chemistry in slag-blended...

journal article 2022

document

Wind turbine drivetrains: State-of-the-art technologies and future development trends

Nejad, Amir R. (author), Keller, Jonathan (author), Guo, Yi (author), Sheng, Shawn (author), Polinder, H. (author), Watson, S.J. (author), Dong, J. (author), Qin, Z. (author), Ebrahimi, Amir (author)

This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the system that converts kinetic energy of the wind to electrical energy – in different stages of their life cycle: design, manufacturing, installation, operation, lifetime extension, decommissioning and recycling. Offshore development and...

review 2022

document

Extrusion-based additive manufacturing of Mg-Zn/bioceramic composite scaffolds

Dong, J. (author), Lin, P. (author), Putra, N.E. (author), Tümer, N. (author), Leeflang, M.A. (author), Huan, Z. (author), Fratila-Apachitei, E.L. (author), Chang, J. (author), Zadpoor, A.A. (author), Zhou, J. (author)

The treatment of femoral nonunion with large segmental bone defect is still challenging. Although magnesium alloys have been considered potential materials for such a treatment, their application is limited by their fast degradation. Adding bioceramic particles into magnesium to form Mg-matrix composites is a promising strategy to adjust...

journal article 2022

document

A General Single-Sensor Damping Framework for LCL-Equipped High-Speed PMSM Drives

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

This letter proposes a general single-sensor active damping framework for LCL-equipped high-speed permanent magnet synchronous machines. By the proposed method, arbitrary damping assignment and stability for the LCL resonance within the Nyquist frequency are achieved with only the inverter-current feedback or motor-current feedback. Moreover,...

journal article 2022

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