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Hamida, A.B. (author), Zhang, D. (author), Bluyssen, P.M. (author)
People spend around 90% of their time indoors, where they are exposed to various physical stressors, such as unpleasant sounds, odours, temperature, and lighting, which may cause annoyance and discomfort. This literature review is focused on substantial studies that emphasize noise as a physical stressor in the indoor environment. Previous...
conference paper 2021
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Ding, Er (author), Zhang, D. (author), Bluyssen, P.M. (author)
Under current pandemic of COVID-19, children are still spending long hours in school classrooms every day. A literature study is therefore conducted to investigate the current ventilation strategies used in schools and assess their performance of controlling contagious respiratory diseases in the indoor environment, and also to seek for future...
conference paper 2021
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Zhang, F. (author), Yang, Y. (author), Hendriks, M.A.N. (author)
Acoustic Emission (AE)-based crack tracking is a promising approach to locate cracks in concrete structures. Different from conventional AE, this approach uses AE activities during crack closure. But, AE activities during crack closure may be influenced by the number of load cycles and loading speed. This may challenge the applicability of AE...
conference paper 2021
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Zarate Garnica, G.I. (author), Zhang, F. (author), Yang, Y. (author), van der Veen, C. (author), Lantsoght, E.O.L. (author), Naaktgeboren, M. (author), Fennis, S.A.A.M. (author)
Proof load testing can be an interesting method to assess existing bridges for which analytical methods are unable to provide an accurate assessment. In a proof load test, a load representative of the factored live load is applied to the bridge. If the bridge can carry this load without distress, the proof load test is success-ful, and the...
conference paper 2021
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Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Zhang, Xinyi (author), Dauwels, J.H.G. (author), Khong, Andy W.H. (author), Khudanpur, Sanjeev (author), Styles, Suzy J. (author)
We propose two end-to-end neural configurations for language diarization on bilingual code-switching speech. The first, a BLSTM-E2E architecture, includes a set of stacked bidirectional LSTMs to compute embeddings and incorporates the deep clustering loss to enforce grouping of languages belonging to the same class. The second, an XSA-E2E...
conference paper 2021
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Koch, Thomas (author), Jiang, Weifan (author), Luo, Tao (author), Gigis, Petros (author), Zhang, Yunfan (author), Vermeulen, Kevin (author), Aben, Emile (author), Calder, Matt (author), Katz-Bassett, Ethan (author), Manassakis, Lefteris (author), Smaragdakis, G. (author), Vallina-Rodriguez, Narseo (author)
The impact of Internet phenomena depends on how they impact users, but researchers lack visibility into how to translate Internet events into their impact. Distressingly, the research community seems to have lost hope of obtaining this information without relying on privileged viewpoints. We argue for optimism thanks to new network...
conference paper 2021
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Zhang, Xiaoyu (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, co-occurrences, and sentence structures. Such visualizations lack conceptual overviews incorporating domain-relevant knowledge, needed when examining documents such as research articles or...
conference paper 2021
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Romijn, J. (author), Middelburg, L.M. (author), Vollebregt, S. (author), el Mansouri, B. (author), van Zeijl, H.W. (author), May, Alexander (author), Erlbacher, Tobias (author), Zhang, Kouchi (author), Sarro, Pasqualina M (author)
Accurately sensing the temperature in silicon carbide (power) devices is of great importance to their reliable operation. Here, temperature sensors by resistive and CMOS structures are fabricated and characterized in an open silicon carbide CMOS technology. Over a range of 25-200°C, doped design layers have negative temperature coefficients of...
conference paper 2021
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van Ginkel, H.J. (author), Romijn, J. (author), Vollebregt, S. (author), Zhang, Kouchi (author)
The growing diversity in the used materials in semiconductor packaging provides challenges for achieving good interconnection. Particularly the very soft substrates, such as paper and polymers, and very hard, such as silicon carbide, offer unique challenges to wire-bonding or formation of vertical interconnects. Complementary technologies are...
conference paper 2021
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Li, Zhenghui (author), Le Kernec, Julien (author), Fioranelli, F. (author), Romain, Olivier (author), Zhang, Lei (author), Yang, Shufan (author)
In personnel recognition based on radar, significant research exists on statistical features extracted from the micro-Doppler signatures, whereas research considering other domains and information such as phase is less developed. This paper presents the use of deep learning methods to integrate both phase and magnitude features from range...
conference paper 2021
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Hong, H. (author), Ye, Li (author), Li, Ke (author), Sarro, Pasqualina M (author), Zhang, Kouchi (author), Liu, Zewen (author)
In this paper, we report a modified three step anisotropic wet etching (TSWE) method to fabricate solid-state silicon nanoslits. The slit-opening process is performed by <111> crystal plane etching. The etching rate of the <111> crystal plane is reasonably slow as it is only 1/45 of the <100> etching rate, thus allowing and...
conference paper 2021
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Zhang, Kaiwen (author), Coutino, Mario (author), Isufi, E. (author)
Graph sampling strategies require the signal to be relatively sparse in an alternative domain, e.g. bandlimitedness for reconstructing the signal. When such a condition is violated or its approximation demands a large bandwidth, the reconstruction often comes with unsatisfactory results even with large samples. In this paper, we propose an...
conference paper 2021
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Zhang, H. (author), Berkhout, M. (author), Makinwa, K.A.A. (author), Fan, Q. (author)
This paper reports a Class-D audio amplifier that uses multiloop feedback to suppress output LC filter nonlinearity by 49 dB, enabling the use of small, low-cost LC filters with ±30% spread while maintaining low distortion. Fabricated in a 180 nm BCD process, the prototype achieves a THD of-121.5 dB and a THD+N of-107.1 dB. It delivers 12W...
conference paper 2021
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Aydogmus, H. (author), van Ginkel, H.J. (author), Galiti, Anna-Danai (author), Hu, Michel (author), Frimat, Jean-Philippe (author), van den Maagdenberg, Arn (author), Zhang, Kouchi (author), Mastrangeli, Massimo (author), Sarro, Pasqualina M (author)
Continuous monitoring of tissue microphysiology is a key enabling feature of the organ-on-chip (OoC) approach for drug screening and disease modeling. Sensing charged species in OoC tissue microenvironments is thereby essential. However, the inherently small (i.e., cm) size of OoC devices poses the challenging requirement to integrate...
conference paper 2021
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Zhang, H. (author), Rozsa, N.N.M. (author), Berkhout, Marco (author), Fan, Q. (author)
This paper reports a chopper Class-D audio amplifier that obtains high PSRR over the entire audio band. A chopping scheme is proposed to minimize intermodulation distortion between pulse-width modulation (PWM) and chopping in the audio band. A high-voltage chopper is developed to handle a 14.4 V PWM signal. Timing matching techniques are...
conference paper 2021
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Romijn, J. (author), Vollebregt, S. (author), van Zeijl, H.W. (author), Zhang, Kouchi (author), Leijtens, Johan (author), Sarro, Pasqualina M (author)
In this paper we present a sun position sensor platform with a scalable approach for the 3D integration of the sensor optics. This would facilitate the sun position sensor miniaturization, reduces fabrication cost and mitigates the need for sensor calibration. The sun position sensor platform is implemented in a seven mask BICMOS technology with...
conference paper 2021
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Zhang, Qingrui (author), Zhang, Xinyu (author), Zhu, Bo (author), Reppa, V. (author)
A novel fault tolerant control algorithm is proposed in this paper based on model reference reinforcement learning for autonomous surface vehicles subject to sensor faults and model uncertainties. The proposed control scheme is a combination of a model-based control approach and a data-driven method, so it can leverage the advantages of both...
conference paper 2021
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Sattari, R. (author), van Zeijl, H.W. (author), Zhang, Kouchi (author)
This paper focuses on the design and fabrication of a new programmable thermal test chip as a flexible and cost-effective solution for simplification of characterization/prototyping of new packages. The cell-based design format makes the chip fit into any modular array configuration. One unit cell is as small as 4x4 mm2, including 6 individually...
conference paper 2021
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Zhang, Rongkai (author), Zhu, Jiang (author), Zha, Zhiyuan (author), Dauwels, J.H.G. (author), Wen, Bihan (author)
State-of-the-art image denoisers exploit various types of deep neural networks via deterministic training. Alternatively, very recent works utilize deep reinforcement learning for restoring images with diverse or unknown corruptions. Though deep reinforcement learning can generate effective policy networks for operator selection or architecture...
conference paper 2021
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Harty, Julian (author), Zhang, Haonan (author), Wei, Lili (author), Pascarella, L. (author), Aniche, Maurício (author), Shang, Weiyi (author)
Software logs are of great value in both industrial and open-source projects. Mobile analytics logging enables developers to collect logs remotely from their apps running on end user devices at the cost of recording and transmitting logs across the Internet to a centralised infrastructure.This paper makes a first step in characterising...
conference paper 2021
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