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Cao, Jianpeng (author), Zhang, Hang (author), Pan, Bo (author), Soman, R. K. (author), Savov, Anton (author), Hall, Daniel M. (author)
Design for manufacturing and assembly (DfMA) is an engineering methodology which aims to increase ease of manufacture and efficiency of assembly by considering manufacturing and assembly constraints in the design process. However, current DfMA approaches in the construction sector are not automated enough to identify the design features that...
conference paper 2024
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Krasnov, O.A. (author), Zhang, Q. (author), Yarovoy, Alexander (author)
In this paper, the full calibration chain of FMCW radar with simultaneous transmission of two orthogonally polarized orthogonal waveforms is considered. Specifically for this type of polarimetric radar, compensation of signals’ biases and equalization of the amplification gains of the parallel polarimetric channels in the receiver are jointly...
conference paper 2024
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Mo, J. (author), Schaffar, Gerald J.K. (author), Du, L. (author), Maier-Kiener, Verena (author), Kiener, Daniel (author), Vollebregt, S. (author), Zhang, Kouchi (author)
Silicon carbide (SiC) coated vertically aligned carbon nanotubes (VACNT) are attractive material for fabricating MEMS devices as an alternative for bulk micromachining of SiC. In order to examine the mechanical properties of SiC-CNT composites at high temperatures, we fabricated VACNT micro-pillars with different amounts of SiC coating and...
conference paper 2024
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Zhou, Yimin (author), Gillavry, Merlijn Mac (author), Yang, Pengzhi (author), Xu, Zihao (author), Zhang, Baitian (author), Bidarra, Rafael (author)
As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive sciences, especially when the visual output diverges from real-world actions. Previous research in BO uses questionnaires and brain...
conference paper 2024
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Zhao, Y. (author), Zhang, Y. (author), Tao, Q. (author)
Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previous methods employ convolutional networks to learn the image prior as the regularization term. In quantitative MRI, the physical model of nuclear magnetic resonance...
conference paper 2024
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Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...
conference paper 2024
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Cambaz, Doga (author), Zhang, X. (author)
The recent emergence of LLM-based code generation models can potentially transform programming education. To pinpoint the current state of research on using LLM-based code generators to support the teaching and learning of programming, we conducted a systematic literature review of 21 papers published since 2018. The review focuses on (1) the...
conference paper 2024
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Ferrari, Oriana Isabella (author), Zhang, Feiran (author), Braam, Ayrton A. (author), Van Gurp, Jules A.M. (author), Broz, F. (author), Barakova, Emilia I. (author)
There are numerous strategies for reducing the stress and anxiety associated with pain that children experience before and after surgery. There is a potential communication barrier between hospital staff and the child which may result in inadequate pain management. Social robots may reduce the gap between the support that personnel can...
conference paper 2023
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Zhang, H. (author), Berkhout, Marco (author), Makinwa, K.A.A. (author), Fan, Q. (author)
Class-D amplifiers (CDAs) are widely used in audio applications where a high power efficiency is required. As most audio sources are digital nowadays, implementing digital-input CDAs results in higher levels of integration and lower cost. However, prior open-loop digital-input CDAs suffer from high jitter sensitivity and output-stage...
conference paper 2023
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Inamdar, A.S. (author), van Soestbergen, Michiel (author), Mavinkurve, Amar (author), van Driel, W.D. (author), Zhang, Kouchi (author)
Moulding compounds used for encapsulating electronics typically occupy a large portion of package volume and are most exposed to the external environment. Under harsh conditions such as high temperature, humidity, and mechanical vibrations, constituent materials of electronic components degrade, resulting in a change in their thermal, mechanical...
conference paper 2023
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Broere, W. (author), Zhang, X. (author)
Daily and seasonal deformation behavior of immersed tunnels potentially impacts the structural integrity. In this study, distributed optical fiber sensors (DOFS) are used to instrument both dilation and immersion joints of the Heinenoordtunnel, an immersed tunnel in the Netherlands. This DOFS system proves capable of measuring joint opening and...
conference paper 2023
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Zhang, D. (author), Verschuur, D.J. (author)
Seismic data interpolation is a topic well suited for deep learning (DL) applications. Scaling operation-based DL neural networks, e.g., U-Net, have been popular since its booming development in the field of seismic data processing. Although many successful studies using U-Net on seismic data, scientists start to realize the downside of its...
conference paper 2023
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Kavoura, Dr. Florentia (author), Zhang, Y. (author), Veljkovic, M. (author)
The building sector is actively researching and reviewing technical solutions for de-construction, driven by the increasing importance of sustainability requirements, as outlined in the EU Commission's ‘Green Deal,‘ which aims to achieve net-zero greenhouse gas emissions by 2050. Two key research areas in efficient structural design strategies...
conference paper 2023
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Zhang, Feiran (author), Broz, F. (author), Ferrari, Oriana (author), Barakova, Emilia (author)
There is a growing interest in implementing robotics applications for children in healthcare to provide companionship, comfort, education, and therapy. Parental expectations regarding robotics for young children play a critical role in influencing its development and acceptance. However, parental expectations are widely overlooked in HRI....
conference paper 2023
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Rutten, J. (author), Tissier, M.F.S. (author), Zhang, Xinyi (author), Reniers, A.J.H.M. (author), van Wiechen, P.P.J. (author), de Vries, S. (author), Rijnsdorp, D.P. (author), Mol, Jan Willem (author), Wilmink, Rinse (author)
Infragravity (IG) waves are key drivers for coastal erosion and thus need to be properly included in process-based modelling of coastal hazards. Uncertainties remain regarding the offshore boundary conditions for these long waves. Typically, only bound IG waves are included at the boundary, which means that the possible contribution of free IG...
conference paper 2023
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Yuan, S. (author), Zhang, Z. (author), Fieback, M. (author), Xun, H. (author), Marinissen, E. J. (author), Kar, G. S. (author), Rao, S. (author), Couet, S. (author), Taouil, M. (author), Hamdioui, S. (author)
The development of Spin-Transfer Torque Magnetic RAMs (STT-MRAMs) mass production requires high-quality test solutions. Accurate and appropriate fault modeling is crucial for the realization of such solutions. This paper targets fault modeling and test generation for all interconnect and contact defects in STT-MRAMs and shows that using the...
conference paper 2023
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper proposes a super-resolution harmonic retrieval method for uncorrelated strictly non-circular signals, whose covariance and pseudo-covariance present Toeplitz and Hankel structures, respectively. Accordingly, the augmented covariance matrix constructed by the covariance and pseudo-covariance matrices is not only low rank but also...
conference paper 2023
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Yazdan Mehr, M. (author), Hajipour, Pejman (author), van Zeijl, H.W. (author), van Driel, W.D. (author), Cooremans, Thierry (author), De Buyl, Francois (author), Zhang, Kouchi (author)
Adhesive bonding is a key joining technology in many industrial applications, including automotive, aerospace industries, biomedical devices, and microelectronic components. Adhesive bonding is gaining more and more attention due to the increasing demand for joining similar or dissimilar components, mostly within the framework of designing...
conference paper 2023
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Liu, Minne (author), Ibrahim, Mesfin S. (author), Wen, Minzhen (author), Li, Sheng (author), Wang, An (author), Zhang, Kouchi (author), Fan, J. (author)
Spectral power distribution (SPD) is the radiation power intensity at different wavelengths, containing the most basic photometric and colorimetric performance of the illuminant, which is able to predict the lifetime of LEDs. This paper proposes an SPD model assisted by machine learning algorithms to detect the early failure of white LEDs. The...
conference paper 2023
document
Zhang, J. (author), Gallo, A.J. (author), Ferrari, Riccardo M.G. (author)
Multiplicative watermarking (MWM) is an active diagnosis technique for the detection of highly sophisticated attacks, but is vulnerable to malicious agents that use eaves-dropped data to identify and then remove or replicate the watermark. In this work, we propose a scheme to protect the parameters of MWM, by proposing a design strategy based...
conference paper 2023
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