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Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning

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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Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios

Liu, Qi (author), Li, Z. (author), Li, Xueyuan (author), Wu, Jingda (author), Yuan, Shihua (author)

A reliable multi-agent decision-making system is highly demanded for safe and efficient operations of connected and autonomous vehicles (CAVs). In order to represent the mutual effects between vehicles and model the dynamic traffic environments, this research proposes an integrated and open-source framework to realize different Graph...

conference paper 2022

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Investigation on Transient Failure Mode of Asymmetric Trench Gate SiC MOSFET Under Single-Pulse Avalanche Stress

Wang, S. (author), Tan, Yanlong (author), Liu, Xu (author), Li, Shizhen (author), Liu, Ke (author), Yuan, Wucheng (author), Li, Tao (author), Zhang, Kouchi (author), French, P.J. (author), Ye, Huaiyu (author), Tan, Chunjian (author)

In this article, the avalanche withstand capability and transient failure model of commercial 1200 V asymmetric trench gate SiC MOSFETs are investigated by experiment and simulation under single-pulse unclamped inductive switching (UIS) conditions. The limiting avalanche current and limiting avalanche energy of the device are determined by...

conference paper 2023

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Special Issue on “Recent Advances in Robust Adaptive Control”

Baldi, S. (author), Kosmatopoulos, Elias (author), Roy, Spandan (author), Yuan, Shuai (author), Roy, Sayan Basu (author), Li, Le (author)

contribution to periodical 2022

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Integrity monitoring-based ratio test for GNSS integer ambiguity validation

Li, L. (author), Li, Z. (author), Yuan, H. (author), Wang, L. (author), Yanqing, H. (author)

The combination of multiple global navigation satellite systems (GNSSs) is able to improve the accuracy and reliability, which is beneficial for navigation in safety–critical applications. Due to the relatively low accuracy of pseudorange observations, the single-epoch GNSS real-time kinematic (RTK) using phase observations can be utilized to...

journal article 2015

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Evaluation of Plastic Deformation During Metal Forming by Using Lode Parameter

Li, F. (author), Wang, L.L. (author), Yuan, S.J. (author), Wang, X.S. (author)

In the present research, the relationship between the strain increment and Lode parameter was obtained by using Lode parameter and Levy-Mises equation. The quantitative relation between different strain increments was presented and the relationship between plastic deformation types and Lode parameter was demonstrated. The relations between...

journal article 2009

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A Compact Transformer-Based Fractional-N ADPLL in 10-nm FinFET CMOS

Li, Chao Chieh (author), Yuan, Min Shueh (author), Liao, Chia Chun (author), Chang, Chih Hsien (author), Lin, Yu Tso (author), Tsai, Tsung Hsien (author), Huang, Tien Chien (author), Liao, Hsien Yuan (author), Staszewski, R.B. (author)

In this article, we introduce a fractional-N all-digital phase-locked loop (ADPLL) architecture based on a single LC-tank, featuring an ultra-wide tuning range (TR) and optimized for ultra-low area in 10-nm FinFET CMOS. Underpinned by excellent switches in the FinFET technology, a high turn-on/off capacitance ratio of LC-tank switched...

journal article 2021

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Prediction of mechanical solutions for a laminated LCEs system fusing an analytical model and neural networks

Wang, Jue (author), Yuan, Weiyi (author), Li, Z. (author), Zhu, Yingcan (author), Santos, Thebano (author), Fan, J. (author)

This paper presents a convenient and efficient method to predict the mechanical solutions of a laminated Liquid Crystal Elastomers (LCEs) system subjected to combined thermo-mechanical load, based on a back propagation (BP) neural network which is trained by machine learning from a database established by analytical solutions. Firstly, the...

journal article 2022

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Using Real Building Energy Use Data to Explain the Energy Performance Gap of Energy-Efficient Residential Buildings: A Case Study from the Hot Summer and Cold Winter Zone in China

Wang, Xia (author), Yuan, Jiachen (author), You, K. (author), Ma, Xianrui (author), Li, Zhaoji (author)

The International Energy Agency (IEA) emphasizes that using real building energy use data (RBEUD) to reflect the actual condition of buildings and inform policy-making is the most effective way to reduce buildings’ carbon emissions. However, based on IEA’s evaluation, regional and national building stock data are limited and lacking. Especially...

journal article 2023

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A novel dynamical collaborative optimization method of ship energy consumption based on a spatial and temporal distribution analysis of voyage data

Wang, Kai (author), Xu, Hao (author), Li, Jiayuan (author), Huang, Lianzhong (author), Ma, Ranqi (author), Jiang, X. (author), Yuan, Yupeng (author), Mwero, Ngome A. (author), Sun, Peiting (author), Negenborn, R.R. (author), Yan, Xinping (author)

It is of significant importance to optimize the energy consumption of ships in order to improve economy and reduce CO₂ emissions. However, the energy use of ships is affected by a series of navigational environmental parameters, which have certain spatial and temporal differences and variability. Therefore, the dynamic...

journal article 2021

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Synergy of Ni micro-alloying and thermomechanical processing in Al–Mg–Si–Cu–Zn–Fe–Mn alloys with enhanced bendability

Yuan, Bo (author), Li, G. (author), Guo, Mingxing (author), Zhuang, Linzhong (author)

Synergy of Ni micro-alloying and thermomechanical processing on the phase distribution, formability and bendability of Al–Mg–Si–Cu–Zn–Fe–Mn alloys was systematically studied in this paper. With the addition of micro-alloying Ni, the Ni-containing Fe-rich phase can be formed, which not only serves as nucleation sites of Mg–Si precipitates ...

journal article 2021

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Fast age-hardening response of Al–Mg–Si–Cu–Zn–Fe–Mn alloy via coupling control of quenching rate and pre-aging

Yuan, Bo (author), Li, G. (author), Guo, Mingxing (author), Zhuang, Linzhong (author)

The coupling control of quenching rate and pre-aging and its positive effect on the age-hardening response of Al–Mg–Si–Cu–Zn–Fe–Mn alloy was systematically investigated. The larger and more stable solute clusters can be formed in alloy with fast age-hardening response by using the lower quenching rate (5.3 °C/min) and an appropriate pre-aging...

journal article 2021

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An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments

Ni, Ying (author), Li, Y. (author), Yuan, Y. (author), Sun, Jian (author)

In recent years, the interest in riding in cities using the two-wheeler (e.g., bicycles, electric bicycles, electric mopeds, etc.) increases. Mixed-traffic road segments are one of the most common traffic scenes where the mixed two-wheeler flows exist. Because the movements are often not restricted by lanes, the two-wheeler uses lateral road...

journal article 2023

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A critical assessment and summary on the low carbon energy pile technologies based on the life-cycle perspective: Challenges and prospects

Zhang, Linfeng (author), Han, Haozhe (author), Li, Wenxin (author), Guo, Kewei (author), Yuan, Minglu (author), Liu, Zhengxuan (author)

Energy piles, a technology integrating the heat exchange component within building pile foundations for shallow geothermal energy utilization, have proven economically efficient. They outperform conventional ground source heat pumps by mitigating additional borehole costs and space requirements. This paper systematically examines low-carbon...

journal article 2024

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Highly efficient carbon assimilation and nitrogen/phosphorus removal facilitated by photosynthetic O₂ from algal-bacterial aerobic granular sludge under controlled DO/pH operation

Li, Zejiao (author), Wang, Jixiang (author), Liu, Jialin (author), Chen, Xingyu (author), Lei, Zhongfang (author), Yuan, Tian (author), Lee, Duu Jong (author), Lin, Y. (author), van Loosdrecht, Mark C.M. (author)

Reducing CO₂ emission and energy consumption is crucial for the sustainable management of wastewater treatment plants (WWTPs). In this study, an algal-bacterial aerobic granular sludge (AGS) system was developed for efficient carbon (C) assimilation and nitrogen (N)/phosphorus (P) removal without the need for mechanical aeration....

journal article 2023

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Particle filter-based fatigue damage prognosis by fusing multiple degradation models

Li, Tianzhi (author), Chen, Jian (author), Yuan, Shenfang (author), Zarouchas, D. (author), Sbarufatti, Claudio (author), Cadini, Francesco (author)

Fatigue damage prognosis always requires a degradation model describing the damage evolution with time; thus, the prognostic performance highly depends on the selection of such a model. The best model should probably be case specific, calling for the fusion of multiple degradation models for a robust prognosis. In this context, this paper...

journal article 2024

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Reverse Recovery Optimization of Multiepi Superjunction MOSFET Based on Tunable Doping Profile

Liu, Ke (author), Tan, C. (author), Li, Shizhen (author), Yuan, Wucheng (author), Liu, X. (author), Zhang, Kouchi (author), French, P.J. (author), Ye, H. (author), Wang, S. (author)

This paper proposes and simulates research on the reverse recovery characteristics of two novel superjunction (SJ) MOSFETs by adjusting the doping profile. In the manufacturing process of the SJ MOSFET using multilayer epitaxial deposition (MED), the position and concentration of each Boron bubble can be adjusted by designing different doping...

journal article 2023

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Risk Analysis of Laboratory Fire Accidents in Chinese Universities by Combining Association Rule Learning and Fuzzy Bayesian Networks

Yang, Fuqiang (author), Li, Xin (author), Yuan, S. (author), Reniers, G.L.L.M.E. (author)

Targeting the challenges in the risk analysis of laboratory fire accidents, particularly considering fire accidents in Chinese universities, an integrated approach is proposed with the combination of association rule learning, a Bayesian network (BN), and fuzzy set theory in this study. The proposed approach has the main advantages of deriving...

journal article 2023

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A neural network-assisted 3D theoretical thermoelastic solution for laminated liquid crystal elastomer plate used in restoring cardiac mechanical function

Wang, Jue (author), Yuan, Weiyi (author), Li, Z. (author), Trofimov, Yuri (author), Lishik, Sergey (author), Fan, J. (author)

Some atrial contractile assist devices applied on the heart surface can be regarded as a laminated Liquid crystal elastomer (LCE) plate under steady temperature loads and a contact mechanical force. An exact solution for the deformation of the laminated LCE plate under combined thermal and mechanical loads is derived by solving the three...

journal article 2022

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Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification

Lin, Chaoning (author), Li, Tongchun (author), Chen, Siyu (author), Yuan, Li (author), van Gelder, P.H.A.J.M. (author), Yorke-Smith, N. (author)

Dam safety monitoring has become an important topic and is critical for evaluating a dam's safety status. This study focuses on identifying the mechanical properties of a concrete dam from long-term viscoelastic deformation monitoring data. A novel inversion framework is proposed in which a surrogate model, instead of the finite element model,...

journal article 2022