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Goto, L. (author), Huysmans, T. (author), Lee, W. (author), Molenbroek, J.F.M. (author), Goossens, R.H.M. (author)
In Ergonomic product design, designers need to translate anthropometric data of the target population into product dimensions or sizing systems. Currently, sizing systems are often based on traditional anthropometric data and generally use the variation of one or two key body dimensions directly related to the product. For products that need to...
conference paper 2019
document
Block, Avram (author), Joshi, Swapna (author), Tabone, W. (author), Pandya, Aryaman (author), Lee, Seonghee (author), Patil, Vaidehi (author), Britten, Nicholas (author), Schmitt, Paul (author)
While great strides have been taken in advancing the field of Human-Robot Interaction (HRI), challenges abound in understanding and improving how Autonomous Vehicles (AVs) will interact with and within society. Through this paper, the authors attempt to paint the picture of challenges unique to the study and advancement of interfaces between AVs...
conference paper 2023
document
Guo, Baiwei (author), Wang, Y. (author), Kamgarpour, Maryam (author), Ferrari-Trecate, Giancarlo (author)
To solve unmodeled optimization problems with hard constraints, this paper proposes a novel zeroth-order approach called Safe Zeroth-order Optimization using Linear Programs (SZO-LP). The SZO-LP method solves a linear program in each iteration to find a descent direction, followed by a step length determination. We prove that, under mild...
conference paper 2023
document
Önen, Çağan (author), Pandharipande, Ashish (author), Joseph, G. (author), Myers, N.J. (author)
The problem of estimating occupancy grids to support automotive driving applications using LiDAR sensor point clouds is considered. We formulate the problem as a sparse binary occupancy value reconstruction problem. Our proposed occupancy grid estimation method is based on pattern-coupled sparse Bayesian learning and exploits the inherent...
conference paper 2023
document
Hofman, Wout (author), Rukanova, B.D. (author), Tan, Y. (author), Bharosa, Nitesh (author), Ubacht, J. (author), Rietveld, Elmer (author)
The transition towards a circular economy (CE) will require data sharing across different platforms and data spaces of parties operating in a variety of supply chains. From a circular economy compliance monitoring perspective, beyond the access to mandatory data that governments will receive, authorities may benefit from accessing additional...
conference paper 2024
document
Doğan, D. (author), Leus, G.J.T. (author)
We consider the problem of recovering block-sparse signals with unknown boundaries. Such signals arise naturally in various applications. Recent literature introduced a pattern-coupled or clustered Gaussian prior, in which each coefficient involves its own hyperparameter as well as its immediate neighbors' hyperparameters. Some methods use a...
conference paper 2023
document
Guo, Rongge (author), Liu, X. (author), Bhatnagar, Saumya (author), Vallati, Mauro (author)
The integration of autonomous vehicles and on-demand customized bus systems is expected to be beneficial for responding to real-time demands. This paper investigates the autonomous customized bus (ACB) system that leverages passenger demand prediction to enhance service quality and vehicle utilization. A novel ACB service design optimization...
conference paper 2023
document
Stenger, David (author), Reuscher, Tim (author), Vallery, H. (author)
Climate-controlled cabins have for decades been standard in vehicles. Model Predictive Controllers (MPCs) have shown promising results in achieving temperature tracking in vehicle cabins and may improve upon model-free control performance. However, for the multi-zone climate control case, proper controller tuning is challenging, as externally...
conference paper 2023
document
Hu, X. (author), Huang, Jianlin (author), Poelma, René H. (author), van Driel, W.D. (author), Zhang, Kouchi (author)
Low-temperature sintering technology of Ag nanoparticles is widely used in high-power electronic device packaging. Utilizing simulation methods to comprehend and control the microstructure and properties of Ag sintering materials has emerged as a prominent research area. This work uses the General Form PDE module in COMSOL to simplify the...
conference paper 2024
document
Yuan, Cadmus (author), de Jong, S.D.M. (author), van Driel, W.D. (author)
The demand for rapid advancement in AI, mobile and automotive markets is pushing the boundaries of electronic packaging, including heterogeneous integration, high-power packages, and large-die packaging. Against this backdrop, machine learning technologies emerge as dynamic tools for correlation building and classification, revolutionizing the...
conference paper 2024
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de Jong, S.D.M. (author), Ghorbani Ghezeljehmeidan, A. (author), van Driel, W.D. (author)
The ability to accurately predict the reliability and lifetime of electronics is of great importance to the industry. The failure of the solder joint is of particular interest for these predictions, because of their susceptibility to failure under thermo-mechanical stress. However, the experimental or even conventional simulation techniques...
conference paper 2024
document
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
Yanovsky, Felix J. (author)
This paper considers generalized coherent-polarimetric method of retrieving information about remote objects using electromagnetic waves. Both active and passive electronic systems as well as different objects under observation, operating frequency bands, and physical meaning (interpretation) of the frequency as spectral argument can be used....
conference paper 2022
document
Goyal, Kshitij (author), Dumančić, S. (author), Blockeel, Hendrik (author)
As machine learning models, specifically neural networks, are becoming increasingly popular, there are concerns regarding their trustworthiness, especially in safety-critical applications, e.g., actions of an autonomous vehicle must be safe. There are approaches that can train neural networks where such domain requirements are enforced as...
conference paper 2024
document
Li, J. (author), Vollebregt, S. (author), Zhang, Y. (author), Shekhar, A. (author), May, Alexander (author), van Driel, W.D. (author), Zhang, Kouchi (author)
Due to the deficient passivation of the interface between silicon carbide and silicon dioxide, the defect-induced capture and release of trapped charges triggered by external Bias Temperature Stress (BTS) leads to parameter shifts and degraded device performance. This study models the trap-induced transient current in silicon carbide metal-oxide...
conference paper 2024
document
Sun, Zhu (author), Yang, J. (author), Feng, Kaidong (author), Fang, Hui (author), Qu, Xinghua (author), Ong, Yew Soon (author)
Product bundling is a commonly-used marketing strategy in both offline retailers and online e-commerce systems. Current research on bundle recommendation is limited by: (1) noisy datasets, where bundles are defined by heuristics, e.g., products co-purchased in the same session; and (2) specific tasks, holding unrealistic assumptions, e.g.,...
conference paper 2022
document
Wu, L. (author), Perin, G. (author), Picek, S. (author)
Deep learning-based side-channel analysis is rapidly positioning itself as a de-facto standard for the most powerful profiling side-channel analysis.The results from the last few years show that deep learning techniques can efficiently break targets that are even protected with countermeasures. While there are constant improvements in making...
conference paper 2022
document
Chang, Brian (author), Yang, Liufei (author), Sensi, M. (author), Achterberg, M.A. (author), Wang, F. (author), Rinaldi, M. (author), Van Mieghem, P.F.A. (author)
We introduce a Markov Modulated Process (MMP) to describe human mobility. We represent the mobility process as a time-varying graph, where a link specifies a connection between two nodes (humans) at any discrete time step. Each state of the Markov chain encodes a certain modification to the original graph. We show that our MMP model...
conference paper 2022
document
Chen, H. (author), Fu, S. (author), Liang, K. (author)
Updatable encryption (UE) enables the cloud server to update the previously sourced encrypted data to a new key with only an update token received from the client. Two interesting works have been proposed to clarify the relationships among various UE security notions. Jiang (ASIACRYPT 2020) proved the equivalence of every security notion in...
conference paper 2022
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