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Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques

Zhi, Danyue (author), Zhao, Hepeng (author), Chen, Yan (author), Song, Weize (author), Song, Dongdong (author), Yang, Y. (author)

The configuration of the urban built environment is critical for promoting sustainability and achieving carbon neutrality. However, existing studies mostly use linear and spatial econometric models to investigate the relationship between urban built environments and traffic carbon dioxide (CO₂) emissions, in-depth studies exploring...

journal article 2024

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Numerical modelling and quantification of coastal urban compound flooding

Yuan, Jiao (author), Zheng, Feifei (author), Duan, Huan Feng (author), Deng, Zhengzhi (author), Kapelan, Z. (author), Savic, Dragan (author), Shao, Tan (author), Huang, Wei Min (author), Zhao, Tongtiegang (author), Chen, Xiaohong (author)

Low-lying coastal cities are vulnerable to compound floods caused by many factors including river flows, tides and local rainfall. Many previous studies focus on the impacts of rainfall and tidal levels (two driving factors) on estuaries or regions near the main single river, while research about the three influencing factors on the floods...

journal article 2024

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Tunable visible emission and persistent luminescence of BaGa₂O₄:Cu²⁺

Wang, Lei (author), Zhao, Ning (author), Zhu, Changrui (author), Chen, Lei (author), Jiang, Yang (author), Zhou, Rulong (author), Liu, Yanfang (author), Qu, Bingyan (author), Hintzen, H.T.J.M. (author)

In the field of solid-state luminescence, Cu²⁺ has long been widely acknowledged for its capacity to emit infrared light. However, the occurrence of visible emission from Cu²⁺ ions had been infrequently observed and reported. In this study, we made an intriguing discovery by examining the behavior of Cu²⁺...

journal article 2024

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Hygrothermal effects on fatigue delamination behavior in composite laminates

Yao, Liaojun (author), Wang, Jiexiong (author), He, Yonglyu (author), Zhao, Xiuhui (author), Chen, Xiangming (author), Liu, J. (author), Guo, Licheng (author), Alderliesten, R.C. (author)

Fatigue delamination growth (FDG) is an important failure in composite structures during their long-term operations. Hygrothermal aging can have significant effects on interlaminar resistance. It is therefore really necessary to explore FDG behavior in composite laminates with hygrothermal aging. Dynamic mechanical thermal analysis (DMTA),...

journal article 2024

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Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks

Zhao, Z. (author), Huang, J. (author), Chen, Lydia Y. (author), Roos, S. (author)

Generative Adversarial Networks (GANs) are increasingly adopted by the industry to synthesize realistic images using competing generator and discriminator neural networks. Due to data not being centrally available, Multi-Discriminator (MD)-GANs training frameworks employ multiple discriminators that have direct access to the real data....

conference paper 2024

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Resilience assessment and management: A review on contributions on process safety and environmental protection

Chen, Chao (author), Li, Jie (author), Zhao, Yixin (author), Goerlandt, Floris (author), Reniers, G.L.L.M.E. (author), Yiliu, Liu (author)

Resilience assessment and management of technical systems have been increasingly important as the current applications in the process industries are becoming more complex. Several review papers on resilience management methods and applications have been published by researchers from different aspects. However, none of them put the focus on...

review 2023

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A Single-Stage Three-Mode Reconfigurable Regulating Rectifier for Wireless Power Transfer

Liu, Shurui (author), Lu, T. (author), Tang, Z. (author), Chen, Zhiyuan (author), Jiang, Junmin (author), Zhao, Bo (author), Du, S. (author)

In this article, we propose a reconfigurable regulating rectifier with a wide operational range for wireless power transfer. The proposed three-mode rectifier achieves a broad range voltage regulation without global loop control to minimize the chip area occupation. Compared with previous work, more working modes and greater voltage gain...

journal article 2023

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A Dynamically Reconfigurable Recursive Switched-Capacitor DC-DC Converter with Adaptive Load Ability Enhancement

Lu, Qi (author), Li, Shuangmu (author), Zhao, Bo (author), Jiang, Junmin (author), Chen, Zhiyuan (author), Du, S. (author)

Multiple voltage conversion ratio (VCR) recursive switched-capacitor (SC) dc-dc converters, based on several basic 2:1 converters, are widely used for on-chip power supplies due to their flexible VCRs for higher energy efficiency. However, conventional multiple VCR SC converters usually have one or more 2:1 converters unused for some VCRs,...

journal article 2023

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Slight Multielement Doping-Induced Structural Order-Disorder Transition for High-Performance Layered Na-Ion Oxide Cathodes

Guo, Hao (author), Zhao, C. (author), Gao, Jianxiang (author), Yang, Wenyun (author), Hu, Xufeng (author), Ma, Xiaobai (author), Jiao, Xuesheng (author), Yang, Jinbo (author), Sun, Kai (author), Chen, Dongfeng (author)

To realize concurrently the high-energy density and excellent cycling stability, maximum utilization of redox couple, minimization of detrimental phase transition, and structural degradation of O3-type layered oxide cathodes are critical for developing Na-ion batteries. Ni²⁺/Ni⁴⁺ redox couple showing multielectron...

journal article 2023

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Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO

Chen, Yangkun (author), Yu, Chenghui (author), Zhu, Hengman (author), Liu, Shuai (author), Zhang, Yibing (author), Suarez, Joseph (author), Zhao, Liang (author), He, J. (author), Chen, Jiaxin (author)

We present the results of the second Neural MMO challenge, hosted at IJCAI 2022, which received 1600+ submissions. This competition targets robustness and generalization in multi-agent systems: participants train teams of agents to complete a multi-task objective against opponents not seen during training. We summarize the competition design...

journal article 2023

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Fabricated Flips: Poisoning Federated Learning without Data

Huang, J. (author), Zhao, Z. (author), Chen, Lydia Y. (author), Roos, S. (author)

Attacks on Federated Learning (FL) can severely reduce the quality of the generated models and limit the usefulness of this emerging learning paradigm that enables on-premise decentralized learning. However, existing untargeted attacks are not practical for many scenarios as they assume that i) the attacker knows every update of benign...

conference paper 2023

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Reliability testing for product return prediction

Zhao, Xiujie (author), Chen, P. (author), Lv, Shanshan (author), He, Zhen (author)

Return of products within the warranty coverage induces additional cost and loss of reputation to manufacturers. It is of practical interest to predict the return rate by experimental means before introducing a product to the market. In this paper, we propose to optimize accelerated reliability tests to achieve the goal within limited time....

journal article 2023

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Evaluation of the Physicochemical Properties and Antiaging Properties of Bitumen Mastic Modified by Layered Double Hydroxides

Zou, Yingxue (author), Pang, Ling (author), Chen, Shuaichao (author), Xu, S. (author), Wu, Shaopeng (author), Amirkhanian, Serji (author), Xu, Haiqin (author), Zhao, Zenggang (author)

Layered double hydroxides (LDHs) can shield polymeric materials from UV light, which allows reducing material aging and erosion damage of bituminous pavement under physical and chemical action. In this study, the physicochemical properties, aging resistance, and erosion resistance to the aqueous solution of LDHs modified bitumen mastic (BM) were...

journal article 2023

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GDTS: GAN-Based Distributed Tabular Synthesizer

Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)

Generative Adversarial Networks (GANs) are typically trained to synthesize data, from images and more recently tabular data, under the assumption of directly accessible training data. While learning image GANs on Federated Learning (FL) and Multi-Discriminator (MD) systems has just been demonstrated, it is unknown if tabular GANs can be learned...

conference paper 2023

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Recognition of Unsafe Onboard Mooring and Unmooring Operation Behavior Based on Improved YOLO-v4 Algorithm

Zhao, Changjiu (author), Zhang, Wenjun (author), Chen, C.Y. (author), Yang, Xue (author), Yue, Jingwen (author), Han, Bing (author)

In the maritime industry, unsafe behaviors exhibited by crew members are a significant factor contributing to shipping and occupational accidents. Among these behaviors, unsafe operation of mooring lines is particularly prone to causing severe accidents. Video-based monitoring has been demonstrated as an effective means of detecting these...

journal article 2023

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FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform

Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)

An alternative method for sharing knowledge while complying with strict data access regulations, such as the European General Data Protection Regulation (GDPR), is the emergence of synthetic tabular data. Mainstream table synthesizers utilize methodologies derived from Generative Adversarial Networks (GAN). Although several state-of-the-art ...

conference paper 2023

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Rural Post-Earthquake Resettlement Mode Choices: Empirical Case Studies of Sichuan, China

Zhao, Lei (author), Zhou, Sifan (author), Zhong, Jinglin (author), Ao, Yibin (author), Wang, Yan (author), Wang, T. (author), Chen, Yunfeng (author)

Earthquakes occur frequently in rural areas of Sichuan, China, causing huge damage and high mortality. The built environment plays a significant role in providing residents with safe and resilient settlements in such areas. There is yet little research on how rural families in developing countries cope with geological disasters like earthquakes,...

journal article 2022

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A Crystal-Less Clock Generation Technique for Battery-Free Wireless Systems

Chang, Ziyi (author), Zhang, Yunshan (author), Yang, Changgui (author), Luo, Yuxuan (author), Du, S. (author), Chen, Yong (author), Zhao, Bo (author)

The size of wireless systems is required to be reduced in many applications, such as ultra-low-power sensor nodes and wearable/implantable devices, where battery and crystal are the two main bottlenecks in system miniaturization. In recent years, battery-free radios based on wireless power transfer (WPT) have shown great potential in...

journal article 2022

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Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge

Zhao, Jianxin (author), Han, Rui (author), Yang, Yongkai (author), Catterall, Benjamin (author), Liu, Chi Harold (author), Chen, Lydia Y. (author), Mortier, Richard (author), Crowcroft, Jon (author), Wang, Liang (author)

With the massive amount of data generated from mobile devices and the increase of computing power of edge devices, the paradigm of Federated Learning has attracted great momentum. In federated learning, distributed and heterogeneous nodes collaborate to learn model parameters. However, while providing benefits such as privacy by design and...

journal article 2022

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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