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Li, Xiao (author), Tang, Jiuyang (author), Zhao, Jiayan (author), Li, Jinbing (author), Zhang, Kouchi (author), Liu, Pan (author)
With the development of 5G communication technology and the rise of power semiconductors, the switching frequency of the circuit keeps increasing, which pushes for miniaturization of power modules and related components. Therefore, in this paper, a one-step molding technology was proposed for a DC/DC buck converter power module. We proposed a...
conference paper 2022
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Esposito, C. (author), De Martino, C. (author), Lehmann, S. (author), Zhao, Z. (author), Mothes, S. (author), Kretzschmar, C. (author), Schroter, M. (author), Spirito, M. (author)
In this contribution, We analyze the bandwidth versus accuracy trade-offs of conventional two-step de-embedding approaches, often employed to extract the device model parameters. The accuracy limitation of incorporating the pad/line section of classical DUT test-fixtures into shunt-series complex and frequency-dependent elements is analyzed by...
conference paper 2022
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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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Colmenarejo, Alejandra Bringas (author), Nannini, L.N. (author), Rieger, A. (author), Scott, Kristen M. (author), Zhao, Xuan (author), Patro, Gourab K. (author), Kasneci, Gjergji (author), Kinder-Kurlanda, Katharina (author)
With increasing digitalization, Artificial Intelligence (AI) is becoming ubiquitous. AI-based systems to identify, optimize, automate, and scale solutions to complex economic and societal problems are being proposed and implemented. This has motivated regulation efforts, including the Proposal of an EU AI Act. This interdisciplinary position...
conference paper 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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Yang, C. (author), Zhao, Y. (author), Huang, Lu (author), Xia, Liming (author), Tao, Q. (author)
Quantitative MRI (qMRI) of the heart has become an important clinical tool for examining myocardial tissue properties. Because heart is a moving object, it is usually imaged with electrocardiogram and respiratory gating during acquisition, to “freeze” its motion. In reality, gating is more-often-than-not imperfect given the heart rate...
conference paper 2022
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Zhao, Yubin (author), Guendel, Ronny (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
The feasibility of classifying human activities measured by a distributed ultra-wideband (UWB) radar system using Range-Doppler (RD) images as the input to classifiers is investigated. Kinematic characteristics of different human activities are expected to be captured in high-resolution range-Doppler images measured by UWB radars. To construct...
conference paper 2022
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Zhao, Y. (author), Yang, C. (author), Schweidtmann, A.M. (author), Tao, Q. (author)
The self-configuring nnU-Net has achieved leading performance in a large range of medical image segmentation challenges. It is widely considered as the model of choice and a strong baseline for medical image segmentation. However, despite its extraordinary performance, nnU-Net does not supply a measure of uncertainty to indicate its possible...
conference paper 2022
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Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)
The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...
conference paper 2022
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Zhao, Lixiao (author), Feng, Pan (author)
Chloride diffusion in concrete is one of the key parameters of durability design for structure. Existing methods of reducing the chloride diffusion such as decreasing water-cement ratio and adding mineral admixtures often lead to increase the risk of concrete cracking. In this study, we focused on mitigating the permeation of chloride ions in...
conference paper 2021
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Zhao, Shengying (author), Guan, Xinchun (author), Qiao, Guofu (author)
Superabsorbent polymer (SAP) can modify the microstructure and influence the mechanical properties of cement paste in at least two ways: while cavities left by SAP increase the total porosity, water released by SAP affects the hydration degree of the surrounding paste. As a starting point for investigation into the overall effect, this study...
conference paper 2021
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Zhao, Jiaqi (author), Fan, Zhihong (author), Xiong, Jianbo (author)
The error function solution of Fick’s second law assumes the constant surface chloride concentration, when it is used to calculate the apparent average chloride diffusion coefficient in concrete during the exposure period. However, the surface chloride concentration in concrete often vary with time. The purpose of this study is to investigate...
conference paper 2021
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Wan, Xiaomei (author), Shen, Chen (author), Zhao, Tiejun (author)
Ultra-high toughness geopolymer composites (UHTGC) were fabricated based on the matrix of binder composed of alkali-activated fly-ash and granulated blast furnace slag and polyvinyl alcohol (PVA) fibres in this research. The tensile behaviour and fracture toughness of UHTGC are investigated on both macro and microscales experimentally and...
conference paper 2021
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Zhao, Xingyu (author), Huang, Wei (author), Huang, Xiaowei (author), Robu, Valentin (author), Flynn, David (author)
Given the pressing need for assuring algorithmic transparency, Explainable AI (XAI) has emerged as one of the key areas of AI research. In this paper, we develop a novel Bayesian extension to the LIME framework, one of the most widely used approaches in XAI – which we call BayLIME. Compared to LIME, BayLIME exploits prior knowledge and Bayesian...
conference paper 2021
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Zhao, W. (author), Luo, T. (author), Ghaffarian Niasar, M. (author)
In this study, the immediate time to breakdown for pure epoxy resin is measured by applying a ramp sinusoidal voltage signal at certain frequency (50Hz, 500Hz and 5000Hz) until breakdown occurs. The HV testing procedures, epoxy resin sample and experimental set-up preparation and Weibull analysis of obtained results are elaborated. The...
conference paper 2021
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Luo, T. (author), Zhao, W. (author), Ghaffarian Niasar, M. (author)
With widely use of power electronics in medium voltage level, there is increasing concern about behaviour of insulation material under arbitrary voltage stress. Solid-gas insulation is a general choice in medium voltage level. Therefore, it’s unavoidable to encounter surface discharge problem. In this paper, the surface discharge on epoxy-air...
conference paper 2021
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Ghaffarian Niasar, M. (author), Zhao, W. (author)
In this work, breakdown strength and lifetime curve of oil-impregnated paper (OIP) are compared at 50Hz and 1500 Hz. For the ramp breakdown tests, sinusoidal voltage ramp of 1 kVp/s is used. The ramp breakdown experiments is conducted on OIP samples made of single and double sheets of OIP. Weibull plots and interpretation of the results are...
conference paper 2021
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van Driel, W.D. (author), Jacobs, B.M.M. (author), Watte, P. (author), Zhao, X. (author)
Reliability is an essential scientific and technological domain intrinsically linked with system integration. Nowadays, semiconductor industries are confronted with ever-increasing design complexity, dramatically decreasing design margins, increasing chances for and consequences of failures, shortening of product development and qualification...
conference paper 2021
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Zhao, Xunyi (author), Wang, H. (author)
In this paper, we aim to effectively suppress the spread of epidemic/information via blocking/removing a given fraction of the contacts in a temporal (time evolving) human contact network. We consider the SI (Susceptible- Infected) spreading process, on a temporal contact network to illustrate our methodology: an infected node infects a...
conference paper 2021
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Scire, D. (author), Bonadonna, Marco (author), Zhao, Y. (author), Procel Moya, P.A. (author), Isabella, O. (author), Zeman, M. (author), Macaluso, Robert (author), Mosca, Mauro (author), Crupi, Isodiana (author)
The use of transition metal oxides for the selective carrier contact in the crystalline silicon solar cells technology is rising to interest for the excellent optoelectrical properties of these materials whose implementation, however, can result in lousy performing cells due to an S-shaped electrical characteristic. In this paper, we fabricated...
conference paper 2020
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