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Yao, W. (author), Chen, X. (author), Zhao, Y. (author), Van Tooren, M.J.L. (author)
To comprehensively assess fractionated spacecraft, an assessment tool is developed based on lifecycle simulation under uncertainty driven by modular evolutionary stochastic models. First, fractionated spacecraft nomenclature and architecture are clarified, and assessment criteria are analyzed. The mean and standard deviation of risk adjusted...
journal article 2012
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Tobón, L. (author), Chen, J. (author), Lee, J. (author), Yuan, M. (author), Zhao, B. (author), Liu, Q.H. (author)
Many system-level electromagnetic design problems are multiscale and very challenging to solve. They remain a significant barrier to system design optimization for a foreseeable future. Such multiscale problems often contain three electrical scales, i.e., the fine scale (geometrical feature size much smaller than a wavelength), the coarse scale ...
conference paper 2013
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Chen, Xiaoqian (author), Yao, W (author), Zhao, Yong (author), Ouyang, Qi (author)
The reliability analysis approach based on combined probability and evidence theory is studied in this paper to address the reliability analysis problem involving both aleatory uncertainties and epistemic uncertainties with flexible intervals (the interval bounds are either fixed or variable as functions of other independent variables). In...
journal article 2016
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Yao, Liaojun (author), Cui, Hao (author), Sun, Yi (author), Guo, Licheng (author), Chen, Xiangming (author), Zhao, Meiying (author), Alderliesten, R.C. (author)
The influence of fibre bridging on delamination failure in multidirectional composite laminates with different thickness scales is characterized, and the dependence of fibre bridging significance on laminate thickness as well as loading regime is investigated in this paper. Both quasi-static and fatigue resistance curves (R-curve) are...
journal article 2018
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Zhao, Chenglong (author), Liu, Lilu (author), Lu, Yaxiang (author), Wagemaker, M. (author), Chen, Liquan (author), Hu, Yong Sheng (author)
Replacing the commonly used nonaqueous liquid electrolytes in rechargeable sodium batteries with polymer solid electrolytes is expected to provide new opportunities to develop safer batteries with higher energy densities. However, this poses challenges related to the interface between the Na-metal anode and polymer electrolytes. Driven by...
journal article 2019
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Chen, H. (author), Tan, E.B.K. (author), Lee, Y. (author), Praharaj, S. (author), Specht, M.M. (author), Zhao, G. (author)
Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching and learning practices. However, the current AI technology mostly works as "black box"-only the inputs and the corresponding outputs are available, which largely impedes...
conference paper 2020
document
Huang, J. (author), Talbi, Rania (author), Zhao, Z. (author), Boucchenak, Sara (author), Chen, Lydia Y. (author), Roos, S. (author)
Federated Learning is an emerging distributed collaborative learning paradigm adopted by many of today's applications, e.g., keyboard prediction and object recognition. Its core principle is to learn from large amount of users data while preserving data privacy by design as collaborative users only need to share the machine learning models...
conference paper 2020
document
Chen, Songlin (author), Nan, L. (author), Xia, Renbo (author), Zhao, Jibin (author), Wonka, Peter (author)
Traditional point cloud registration methods require large overlap between scans, which imposes strict constraints on data acquisition. To facilitate registration, users have to carefully position scanners to ensure sufficient overlap. In this article, we propose to use high-level structural information (i.e., plane/line features and their...
journal article 2020
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Chen, Kaijia (author), Zhao, J. (author), Knoop, V.L. (author), Gao, Xing (author)
Traffic throughput at intersections can be improved by using exit lanes for left-turning (EFL), tidal flow lanes near an intersection, which has been recently introduced. This paper considers the operational robustness of the EFL intersection in relation to the control scheme applied to the traffic light setting. For safety and efficiency, it...
journal article 2020
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Zeng, Tao (author), Chen, Guohua (author), Yang, Yunfeng (author), Reniers, G.L.L.M.E. (author), Zhao, Yixin (author), Liu, Xia (author)
The increasing demand for chemical products has driven the construction and development of chemical industrial areas, or so-called 'chemical industrial parks' (CIPs), but this has intrinsically raised the risk of major accidents. Therefore, it is significant and urgent to summarize the state of art and research needs in the field of CIP...
review 2020
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Sun, Xiaoliang (author), Zhou, Guanggang (author), Liu, Z. (author), Zhu, Jianwei (author), Guo, Fengzhi (author), Chen, Junqing (author), He, Wenhao (author), Wang, Ning (author), Zhao, Ge (author), Lu, Guiwu (author)
The controllability of mining is a key factor affecting the commercial application of methane hydrates, and the addition of chemical additives can significantly accelerate the mining process. However, the effect of additive concentration on hydrate decomposition is not yet well understood. In this study, we systematically investigate the...
journal article 2021
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Zhao, Xiujie (author), Chen, P. (author), Gaudoin, Olivier (author), Doyen, Laurent (author)
This study proposes a framework to analyze accelerated degradation testing (ADT) data in the presence of inspection effects. Motivated by a real dataset from the electric industry, we study two types of effects induced by inspections. After each inspection, the system degradation level instantaneously reduces by a random value. Meanwhile, the...
journal article 2021
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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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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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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
document
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
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Liang, Jianwen (author), van der Maas, E.L. (author), Luo, Jing (author), Li, Xiaona (author), Chen, Ning (author), Adair, Keegan R. (author), Li, Weihan (author), Li, Junjie (author), Hu, Yongfeng (author), Liu, Jue (author), Zhang, Li (author), Zhao, W. (author), Parnell, S.R. (author), Ganapathy, S. (author), Wagemaker, M. (author)
Understanding the relationship between structure, ionic conductivity, and synthesis is the key to the development of superionic conductors. Here, a series of Li<sub>3-3</sub><sub>x</sub>M<sub>1+</sub><sub>x</sub>Cl<sub>6</sub> (−0.14 &lt; x ≤ 0.5, M = Tb, Dy, Ho, Y, Er, Tm) solid electrolytes with orthorhombic and trigonal structures are...
journal article 2022
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Lee, Y. (author), Chen, H. (author), Zhao, Guoying (author), Specht, M.M. (author)
Human attention is critical yet challenging cognitive process to measure due to its diverse definitions and non-standardized evaluation. In this work, we focus on the attention self-regulation of learners, which commonly occurs as an effort to regain focus, contrary to attention loss. We focus on easy-to-observe behavioral signs in the real...
conference paper 2022
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Chen, P. (author), Buis, K. (author), Zhao, Xiujie (author)
The gamma distribution is one of the most important parametric models in probability theory and statistics. Although a multitude of studies have theoretically investigated the properties of the gamma distribution in the literature, there is still a serious lack of tailored statistical tools to facilitate its practical applications. To fill...
journal article 2022
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Zhu, Yujin (author), Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Tabular data synthesis is an emerging approach to circumvent strict regulations on data privacy while discovering knowledge through big data. Although state-of-the-art AI-based tabular data synthesizers, e.g., table-GAN, CTGAN, TVAE, and CTAB-GAN, are effective at generating synthetic tabular data, their training is sensitive to column...
conference paper 2022
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