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Effects of microporous layer on electrolyte flooding in gas diffusion electrodes and selectivity of CO₂ electrolysis to CO

Wu, Yuming (author), Garg, Sahil (author), Li, Mengran (author), Idros, Mohamed Nazmi (author), Li, Zhiheng (author), Lin, Rijia (author), Chen, Jian (author), Wang, Guoxiong (author), Rufford, Thomas E. (author)

Understanding the relationship between gas diffusion electrode (GDE) structures and the performance of electrochemical CO₂ reduction reaction (CO₂RR) is crucial to developing industrial-scale technologies to convert CO₂ to valuable products. We studied how the microporous layer (MPL) on GDE's coated with...

journal article 2022

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Safety barriers in the chemical process industries: A state-of-the-art review on their classification, assessment, and management

Yuan, S. (author), Yang, M. (author), Reniers, G.L.L.M.E. (author), Chen, C. (author), Wu, Jiansong (author)

Barriers are used in various forms to assure the safety of chemical plants. A deep understanding of the literature related to safety barriers is essential to tackle the challenges in improving their design and management. This paper first provides an overview of the history of the development of the safety barrier concept. Subsequently, this...

journal article 2022

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Left ventricular thrombus after acute ST-segment elevation myocardial infarction: Multi-parametric cardiac magnetic resonance imaging with long-term outcomes

Shi, Ruo yang (author), Chen, Bing hua (author), Wu, Chong wen (author), Wesemann, Luke (author), Hu, Jiani (author), Xu, Jian rong (author), Zhou, Yan (author), Tao, Q. (author), Wu, Lian ming (author)

Left ventricular thrombus (LVT) after acute ST-segment elevation myocardial infarction (STEMI) are generally associated with poorer outcomes for patients at long-term follow-up. We hypothesis that tissue characteristics and strain parameters by cardiac magnetic resonance (CMR) imaging may indicate the interactions of LVT with ventricular...

journal article 2022

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Research on Design and Performance of Self-Compacting Cement Emulsified Bitumen Mixture (CEBM)

Yi, Jinming (author), Feng, Jianlin (author), Li, Yuanyuan (author), Bai, Tao (author), Chen, Anqi (author), Gao, Y. (author), Wu, Fan (author), Wu, Shaopeng (author), Liu, Quantao (author), Li, Chuangmin (author)

To meet the needs of the road industry for maintenance operations, a new cement emulsified bitumen mixture (CEBM) with early-strength, self-compacting, and room-temperature construction characteristics was designed. The strength formation mechanism of CEBM was revealed with a scanning electron microscope (SEM) and the surface free energy (SFE...

journal article 2022

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Spatial–temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism

Chen, Zhijun (author), Lu, Zhe (author), Chen, Qiushi (author), Zhong, Hongliang (author), Zhang, Yishi (author), Xue, J. (author), Wu, Chaozhong (author)

Short-term traffic flow prediction is a core branch of intelligent traffic systems (ITS) and plays an important role in traffic management. The graph convolution network (GCN) is widely used in traffic prediction models to efficiently handle the graphical structural data of road networks. However, the influence weights among different road...

journal article 2022

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Strength formation mechanism and performance of steel slag self-compacting epoxy resin concrete

Li, Yuanyuan (author), Li, Jun (author), Li, Chao (author), Chen, Anqi (author), Bai, Tao (author), Tang, Shimin (author), Wu, Shaopeng (author), Gao, Y. (author), Zhu, Hongbin (author), Feng, Jianlin (author)

A self-compacting steel slag epoxy resin concrete (SERC) was designed with steel slag as aggregate and epoxy resin as binder for rapid repair of road expansion joints and pavement. At the same time, a group of self-compacting basalt epoxy resin concrete (BERC) with basalt as coarse aggregate and limestone as fine aggregate was set up as the...

journal article 2022

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Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities

Abbink, D.A. (author), Hao, Peng (author), Laval, Jorge (author), Shalev-Shwartz, Shai (author), Wu, Cathy (author), Yang, Terry (author), Hamdar, Samer (author), Chen, Danjue (author), Xie, Yuanchang (author), Li, Xiaopeng (author), Haque, Mohaiminul (author)

This chapter summarizes the presentations of speakers addressing such issues during the Automated Vehicles Symposium 2020 (AVS20) held virtually on July 27–30, 2020. These speakers participated in the break-out session titled “Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities”. The...

book chapter 2022

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Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios

Yuan, S. (author), Cai, Jitao (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Chen, Chao (author), Wu, Jiansong (author)

Toxic gas leakage represents a type of major process accident scenario threatening human life. Technical and non-technical safety barriers are employed to prevent toxic gas leakage accidents or mitigate the possible catastrophic consequences. Evacuation must be executed in severe toxic gas release scenarios. The performance assessment of...

journal article 2022

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Microwave heating mechanism and self-healing performance of asphalt mixture with basalt and limestone aggregates

Wang, Fu (author), Zhu, Hongbin (author), Shu, Benan (author), Li, Yuanyuan (author), Gu, Dengjun (author), Gao, Y. (author), Chen, Anqi (author), Feng, Jianlin (author), Wu, Shaopeng (author)

Traditional asphalt mixtures can't absorb microwave energy efficiently, which limits the development of microwave heating technology in the field of road maintenance. Based on the microwave heating characteristics of basalt aggregates, the overall microwave self-healing rate of the asphalt mixture can be enhanced. The basalt was tested by XRF,...

journal article 2022

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Federated Learning for Tabular Data: Exploring Potential Risk to Privacy

Wu, Han (author), Zhao, Z. (author), Chen, Lydia Y. (author), van Moorsel, Aad (author)

Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning method-ology, since it avoids exchanging data between participants, but instead exchanges model parameters. FL has traditionally been applied to image, voice and similar data, but recently it has started to draw attention from domains including...

conference paper 2022

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Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling

Wu, Guohua (author), Luo, Qizhang (author), Du, Xiao (author), Chen, Yingguo (author), Suganthan, Ponnuthurai Nagaratnam (author), Wang, X. (author)

Satellite observation scheduling plays a significant role in improving the efficiency of Earth observation systems. To solve the large-scale multisatellite observation scheduling problem, this article proposes an ensemble of metaheuristic and exact algorithms based on a divide-And-conquer framework (EHE-DCF), including a task allocation phase...

journal article 2022

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Alternating optimization of design and stress for stress-constrained topology optimization

Zhai, X. (author), Chen, Falai (author), Wu, J. (author)

Handling stress constraints is an important topic in topology optimization. In this paper, we introduce an interpretation of stresses as optimization variables, leading to an augmented Lagrangian formulation. This formulation takes two sets of optimization variables, i.e., an auxiliary stress variable per element, in addition to a density...

journal article 2021

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Relocating operational and damaged bikes in free-floating systems: A data-driven modeling framework for level of service enhancement

Chang, Ximing (author), Wu, Jianjun (author), Sun, Huijun (author), Correia, Gonçalo (author), Chen, JianHua (author)

Free-floating bike sharing is an innovative and sustainable travel mode, where shared bikes can be picked up and returned at any proper place on the streets and not just at docking stations. Nevertheless, in these systems, two major problems arise. One is the imbalance of free-floating shared bikes (FFSB) between zones due to one-way trips,...

journal article 2021

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Prediction of the autogenous shrinkage and microcracking of alkali-activated slag and fly ash concrete

Li, Z. (author), Lu, T. (author), Chen, Y. (author), Wu, B. (author), Ye, G. (author)

This study aims to predict the autogenous shrinkage of alkali-activated concrete (AAC) based on slag and fly ash. A variety of analytical and numerical models are available for the prediction of autogenous shrinkage of ordinary Portland cement (OPC) concrete, but these models are found to show dramatic discrepancies when applied for AAC due...

journal article 2021

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System analysis and controller design for the electric pump of a deep-throttling rocket engine

Hu, R. (author), Ferrari, Riccardo M.G. (author), Chen, Z. (author), Cheng, Yuqiang (author), Zhu, Xiaobin (author), Cui, Xing (author), Wu, Jianjun (author)

This paper proposes a controller design for the electric pump of a deep-throttling rocket engine. The nonlinearity of the system is taken into consideration by analyzing the gap metric. Then, proportional-integral-derivative controller and gain-scheduling linear quadratic regulator are designed. Analyzing the amplitude- and phase-frequency...

journal article 2021

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A comment on Chinese policies to avoid negative impacts on river ecosystems by hydropower projects

Wu, Miao (author), Chen, Ang (author), Zhang, Xingnan (author), McClain, M.E. (author)

The rapid economic development of river basins depends on the excessive use of water resources. China experienced a rapid development of hydropower projects in the last two decades and thus faces many ecological and environmental issues, especially in ecologically sensitive areas. Environmental flow is an important management tool that...

journal article 2020

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A method of personalized driving decision for smart car based on deep reinforcement learning

Wang, X. (author), Wu, Chaozhong (author), Xue, J. (author), Chen, Z. (author)

To date, automatic driving technology has become a hotspot in academia. It is necessary to provide a personalization of automatic driving decision for each passenger. The purpose of this paper is to propose a self-learning method for personalized driving decisions. First, collect and analyze driving data from different drivers to set learning...

journal article 2020

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Fast and robust low-rank approximation for five-dimensional seismic data reconstruction

Wu, Juan (author), Bai, Min (author), Zhang, D. (author), Wang, Hang (author), Huang, Guangtan (author), Chen, Yangkang (author)

Five-dimensional (5D) seismic data reconstruction becomes more appealing in recent years because it takes advantage of five physical dimensions of the seismic data and can reconstruct data with large gap. The low-rank approximation approach is one of the most effective methods for reconstructing 5D dataset. However, the main disadvantage of...

journal article 2020

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An On-Chip Self-Characterization of a Digital-to-Time Converter by Embedding it in a First-Order ΔΣ Loop

Chen, Peng (author), Huang, Xiongchuan (author), Chen, Y. (author), Wu, Lianbo (author), Staszewski, R.B. (author)

To characterize an on-chip programmable delay in a low-cost and high-resolution manner, a built-in self-test based on a first-order ΔΣ time-to-digital converter with self-calibration is proposed and implemented in TSMC 28-nm CMOS. The system is self-contained, and only one digital clock is needed for the measurements. A...

journal article 2018

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Optimized image acquisition for dopamine transporter imaging with ultra-high resolution clinical pinhole SPECT

Chen, Y. (author), Vastenhouw, B. (author), Wu, C. (author), Goorden, M.C. (author), Beekman, F.J. (author)

SPECT can be used to image dopamine transporter (DaT) availability in the human striatum, e.g. for diagnosis of Parkinson's disease (PD). As traditional SPECT provides limited resolution and sensitivity, we proposed a full ring focusing multi-pinhole SPECT system (G-SPECT-I (Beekman 2015 Eur. J. Nucl. Med. Mol. Imaging 42 S209)) which...

journal article 2018