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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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Zuo, Xiaojiang (author), Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral part of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge...journal article 2024
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Han, Fei (author), Zhang, Mengru (author), Li, Zhe (author), Liu, Zhe (author), Han, Yufei (author), Li, L. (author), Zhou, Weizhi (author)Marine microorganisms have an inherent advantage in the treatment of saline wastewater due to their halophilic properties. Ammonium assimilation is the most important and common nitrogen conversion pathway in the ocean, which means that it may be a suitable nitrogen removal strategy under high salinity conditions. However, the targeted...journal article 2023
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Wang, Yibo (author), Liu, Pan (author), Solomatine, D.P. (author), Li, Liping (author), Wu, Chen (author), Han, Dongyang (author), Zhang, Xiaojing (author), Yang, Zhikai (author), Yang, Sheng (author)Aquatic community dynamics are closely dominated by flow regime and water quality conditions, which are increasingly threatened by dam regulation, water diversion, and nutrition pollution. However, further understanding of the ecological impacts of flow regime and water quality conditions on aquatic multi-population dynamics has rarely been...journal article 2023
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Zhao, Y. (author), Datta, Kunal (author), Paggiaro, Giulia (author), Liu, Hanchen (author), Fardousi, Mohua (author), Santbergen, R. (author), Procel Moya, P.A. (author), Han, C. (author), Yang, G. (author), Weeber, A.W. (author), Zeman, M. (author), Mazzarella, L. (author), Isabella, O. (author)Monolithic perovskite/c-Si tandem solar cells have attracted enormous research attention and have achieved efficiencies above 30%. This work describes the development of monolithic tandem solar cells based on silicon heterojunction (SHJ) bottom- and perovskite top-cells and highlights light management techniques assisted by optical simulation...journal article 2023
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Wen, Shilin (author), Han, Rui (author), Liu, Chi Harold (author), Chen, Lydia Y. (author)Edge-cloud applications are rapidly prevailing in recent years and pose the challenge of using both resource-strenuous edge devices and elastic cloud resources under dynamic workloads. Efficient resource allocation on edge-cloud jobs via cluster schedulers (e.g. Kubernetes/Volcano scheduler) is essential to guarantee their performance, e.g....journal article 2023
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Bai, Wei (author), Xu, X. (author), Liu, Yaolan (author), Liang, Yunxiao (author), Shen, Yijie (author), Han, Zhenyu (author), Sheng, Zhendong (author), Chen, Rong (author), Zhu, Minhao (author)Systematic experimental investigations were conducted to study the microstructures and impact toughness of each heat affected zone (HAZ) formed during rail flash-butt welding. A high-strength carbide-free bainitic rail steel was subjected to different thermal simulation cycles to separately reproduce each HAZ subzone by tailoring the peak...journal article 2023
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Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge devices....conference paper 2023
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de Jong, D. (author), Prosko, C.G. (author), Han, L. (author), Malinowski, F.K. (author), Liu, Yu (author), Kouwenhoven, Leo P. (author), Pfaff, Wolfgang (author)Cooper pair splitters hold utility as a platform for investigating the entanglement of electrons in Cooper pairs, but probing splitters with voltage-biased Ohmic contacts prevents the retention of electrons from split pairs since they can escape to the drain reservoirs. We report the ability to controllably split and retain single Cooper...journal article 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...conference paper 2023
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Wei, Xiaoguang (author), Liu, Y. (author), Shi, Jian (author), Gao, Shibin (author), Li, Xingpeng (author), Han, Zhu (author)This article offers a novel perspective on identifying the critical branches under load redistribution (LR) attacks. Compared to the existing literature that is largely disruption-driven and based on dc state estimation, we propose to address the threat from LR attacks on a more fundamental level by modeling and analyzing the circulation of...journal article 2023
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Wang, Zhongkai (author), Choi, Minsoo (author), Lee, Kyoungtae (author), Park, Kwanseo (author), Liu, Zhaokai (author), Biswas, Ayan (author), Han, Jaeduk (author), Du, S. (author), Alon, Elad (author)This article presents a 200-Gb/s pulse amplitude-modulation four-level (PAM-4) and 100-Gb/s non-return-to-zero (NRZ) transmitter (TX) in 28-nm CMOS technology. To achieve the target data rate, the output bandwidth and swing of the proposed TX are optimized by minimizing the output capacitance of the 4:1 multiplexer (MUX) and driver stage with...journal article 2022
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Gu, Yi (author), Han, Chao (author), Chen, Yuhan (author), Liu, Shenggang (author), Wang, X. (author)The last decades have witnessed a rapid increase of Earth observation satellites (EOSs), leading to the increasing complexity of EOSs scheduling. On account of the widespread applications of large region observation, this article aims to address the EOSs observation scheduling problem for large region targets. A rapid coverage calculation...journal article 2022
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Sun, S.Z. (author), Wang, Zhenpo (author), Liu, Peng (author), Qin, Z. (author), Chen, Yong (author), Han, Yang (author), Wang, Peng (author), Bauer, P. (author)Battery fault diagnosis is crucial for stable, reliable, and safe operation of electric vehicles, especially the thermal runaway early warning. Developing methods for early failure detection and reducing safety risks from failing high energy lithium-ion batteries has become a major challenge for industry. In this article, a real-time early...journal article 2022
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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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Ding, J. (author), Han, Linyan (author), Ge, Ligang (author), Liu, Yizhang (author), Pang, Jianxin (author)Robust locomotion is a challenging task for humanoid robots, especially when considering dynamic disturbances. This article proposes a disturbance observer-based cascaded model predictive control (MPC) approach for bipedal locomotion, with the capability of exploiting ankle, stepping, hip and height variation strategies. Specifically, based...journal article 2022
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Wang, Zhongkai (author), Choi, Minsoo (author), Wright, John (author), Lee, Kyoungtae (author), Liu, Zhaokai (author), Yin, Bozhi (author), Han, Jaeduk (author), Du, S. (author), Alon, Elad (author)We present a ring-oscillator-based sub-sampling phase-locked loop (PLL) using a generator-based design flow. A hybrid loop with a delta-sigma ($\Delta \Sigma$) modulator is applied to reduce the loop filter (LF) area and the control ripple. The generator automatically produces the ring oscillator and PLL to meet the provided specifications. The...conference paper 2022
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Guo, R. (author), Yuan, Peng (author), Han, Xiying (author), He, Xuexia (author), Lu, Jiangbo (author), Li, Qi (author), Dang, Liqin (author), Sun, Jie (author), Liu, Zonghuai (author), Lei, Zhibin (author)The Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> film with metallic conductivity and high pseudo-capacitance holds profound promise in flexible high-rate supercapacitors. However, the restacking of Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> sheets hinders ion access to thick film electrodes. Herein, a mild yet green route has been developed to...journal article 2022
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Han, Rui (author), Wen, Shilin (author), Liu, Chi Harold (author), Yuan, Ye (author), Wang, Guoren (author), Chen, Lydia Y. (author)Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...conference paper 2022
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Han, Yu (author), Hegyi, A. (author), Zhang, Le (author), He, Zhengbing (author), Chung, Edward (author), Liu, Pan (author)Conventional reinforcement learning (RL) models of variable speed limit (VSL) control systems (and traffic control systems in general) cannot be trained in real traffic process because new control actions are usually explored randomly, which may result in high costs (delays) due to exploration and learning. For this reason, existing RL-based...journal article 2022
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