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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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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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Zhang, Jingping (author), Luo, Houcai (author), Wu, Huan (author), Wang, Zeping (author), Zheng, Bofeng (author), Zhang, Kouchi (author), Chen, Xianping (author)
A novel 4H-SiC Multiple Stepped SGT MOSFET (MSGT-MOSFET) is presented and investigated utilizing TCAD simulations in this paper. We have quantitatively studied the characteristics of the device through simulation modeling and physical model calculations, and comparatively analyzed the performance and application prospects of this novel device...
journal article 2023
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Zhang, Jinlei (author), Chen, Yijie (author), Krishnakumari, P.K. (author), Jin, Guangyin (author), Wang, Chengcheng (author), Yang, Lixing (author)
Accurate and reliable short- term passenger flow prediction can support operations and decision-making of the URT system from multiple perspectives. In this paper, we propose a URT multi- step short- term passenger flow prediction model at the network level based on a Transformer-based LSTM network, Depth-wise Attention Block, and CNN network...
journal article 2023
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Wang, Luyu (author), Chen, Weizhong (author), Vuik, Cornelis (author)
Developing numerical method of fractured porous media is of paramount importance in geoscience applications. Previous studies have revealed that the discrete fractures and cavities as well as the heterogeneity have considerable influences on hydraulic property of porous media. This work presents a numerical investigation on fluid flow in...
journal article 2022
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Xu, Peng (author), Susilo, Willy (author), Wang, Wei (author), Chen, Tianyang (author), Wu, Qianhong (author), Liang, K. (author), Jin, Hai (author)
Dynamic searchable symmetric encryption (DSSE) has been widely recognized as a promising technique to delegate update and search queries over an outsourced database to an untrusted server while guaranteeing the privacy of data. Many efforts on DSSE have been devoted to obtaining a good tradeoff between security and performance. However, it...
journal article 2022
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Chen, N. (author), van Arem, B. (author), Wang, M. (author)
Connected Automated Vehicles (CAVs) have the potential to improve traffic operations when they cooperatively maneuver in merging sections. State-of-the-art approaches in cooperative merging either build on heuristics solutions or prohibit mainline CAVs to change lane on multilane highways. This paper proposes a hierarchical cooperative...
journal article 2022
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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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Li, Haimei (author), Zhang, Yuting (author), Ao, Yibin (author), Wang, Yan (author), Wang, T. (author), Chen, Yunfeng (author)
The rapid urbanization in China urges scholars to investigate the impacts of built environment on the level of travel satisfaction of rural residents to improve their quality of life and make planning exercises more human-centric. This study samples six villages out of the 25 top rural areas in Chengdu, Sichuan, China, as the research object and...
journal article 2022
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Wang, Bo (author), Han, Shan (author), Ao, Yibin (author), Liao, Fangwei (author), Wang, T. (author), Chen, Yunfeng (author)
Media has paid more attention recently on environmental issues caused by construction companies which imposes public opinion pressure on construction companies and could potentially impact their decision-making processes for green innovations. However, research on the relationship between public opinions pressure and construction company green...
journal article 2022
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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 CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) is crucial to developing industrial-scale technologies to convert CO<sub>2</sub> to valuable products. We studied how the microporous layer (MPL) on GDE's coated with...
journal article 2022
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Wang, Lei (author), Wang, Cailu (author), Chen, Y. (author), Jiang, Yang (author), Chen, Lei (author), Xu, Jinzhang (author), Qu, Bingyan (author), Hintzen, H.T.J.M. (author)
The red afterglow of current rare-earth-activated long persistent luminescence (LPL) phosphors is largely still less than 6 h, in contrast to the 20 or 30 h long blue- or green-emitting ones, becoming the main obstacle to realize their multiscenario applications in practice. Herein, we report a rare-earth-free red-emitting LPL phosphor SrGa...
journal article 2022
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Wang, Jinyang (author), Chen, P. (author), Ye, Zhisheng (author)
The rate reduction models have been widely used to model the recurrent failure data for their capabilities in quantifying the repair effects. Despite the widespread popularity, there have been limited studies on statistical inference of most failure rate reduction models. In view of this fact, this study proposes a semiparametric estimation...
journal article 2022
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Wang, Jianqiang (author), Gao, Yixun (author), Chen, Fengjia (author), Zhang, Lulu (author), Li, Hao (author), De Rooij, Nicolaas Frans (author), Umar, Ahmad (author), Lee, Yi Kuen (author), French, P.J. (author)
Implementing parts per billion-level nitric oxide (NO) sensing at room temperature (RT) is still in extreme demand for monitoring inflammatory respiratory diseases. Herein, we have prepared a kind of core-shell structural Hemin-based nanospheres (Abbr.: Hemin-nanospheres, defined as HNSs) with the core of amorphous Hemin and the shell of...
journal article 2022
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Wang, L. (author), Golfier, Fabrice (author), Tinet, Anne-Julie (author), Chen, Weizhong (author), Vuik, Cornelis (author)
This work investigates numerical method and equivalent continuum approach (ECA) of fluid flow in fractured porous media. The commonly used discrete fracture model (DFM) without upscaling needs full discretization of all fractures. It enjoys the merit of capturing each fracture accurately but will get in trouble with mesh partition and low...
journal article 2022
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Gao, Hongkai (author), Han, Chuntan (author), Chen, Rensheng (author), Feng, Zijing (author), Wang, Kang (author), Fenicia, Fabrizio (author), Savenije, Hubert (author)
Increased attention directed at frozen soil hydrology has been prompted by climate change. In spite of an increasing number of field measurements and modeling studies, the impact of frozen soil on hydrological processes at the catchment scale is still unclear. However, frozen soil hydrology models have mostly been developed based on a bottom...
journal article 2022
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Fan, Guangpeng (author), Xu, Zhenyu (author), Wang, Jinhu (author), Nan, L. (author), Xiao, Huijie (author), Xin, Zhiming (author), Chen, Feixiang (author)
Complexity of forest structure is an important factor contributing to uncertainty in aboveground biomass estimates. In this study, we present a new method for reducing uncertainty in forest aboveground biomass (AGB) estimation based on plot-level terrestrial laser scanner (TLS) point clouds reconstruction. The method estimates the total AGB...
journal article 2022
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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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Gu, Guanjie (author), Yang, Changgui (author), Li, Zhuhao (author), Feng, Xiangdong (author), Chang, Ziyi (author), Wang, Ting-Hsun (author), Zhang, Yunshan (author), Luo, Yuxuan (author), Zhang, Hong (author), Wang, Ping (author), Du, S. (author), Chen, Yong (author), Zhao, Bo (author)
Body Channel Communication (BCC) offers a low-loss signal transmission medium for ultra-low-power wearable devices on human body [1]. However, the effective communication range on human body is limited to less than 1m in the state-of-the-art BCC transceivers [2], where the signal loss at the interface of body surface and BCC receiver remains to...
conference paper 2022
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Liang, Yansong (author), Wang, Ruizhi (author), Chen, Zhongsheng (author), Du, S. (author)
This paper presents a boost converter for thermo-electric energy harvesting with photovoltaic (PV)-assisted startup. The converter employs a new two-phase startup architecture and the PV cell is used in the first phase to provide an initial high voltage for startup. This high voltage drives the boost converter to charge a startup capacitor,...
conference paper 2022
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