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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
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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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
document
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
document
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, 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
document
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
document
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
document
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
document
Ghaffarian Niasar, M. (author), Zhao, W. (author)
Nonlinear voltage distribution along the transformer winding during a lightning overvoltage can cause severe electric stress specially to the area of the winding close to the high voltage terminals. For high voltage transformers different methods such as interleaved winding, electrostatic shield wires, and wound-in shield wires are implemented...
conference paper 2020
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Mazzarella, L. (author), Alcañiz Moya, A. (author), Kawa, Eliora (author), Procel Moya, P.A. (author), Zhao, Y. (author), Han, C. (author), Yang, G. (author), Zeman, M. (author), Isabella, O. (author)
Electrical simulations show that the dipole formed at (i)a-Si:H/MoOx interface can explain electrical performance degradation. We experimentally manipulate this interface by a plasma treatment (PT) to mitigate the dipole strength without harming the optical response. The optimal PT + MoOx stack results in strongly improved electrical...
conference paper 2020
document
Zhao, T. (author), Tsakoniatis, Ioannis (author), Rans, C.D. (author), Villegas, I.F. (author), Benedictus, R. (author)
Thermoplastic composite spot welded joints are more well-suited for carrying shear load rather than peel load. However, peel load is difficult to be eliminated in single-lap joint configuration. In this paper, a series of mechanical tests were carried out to study the effects of the spot spacing and the number of welded spots on the secondary...
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
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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
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