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Pöhlmann, Katharina Margareta Theresa (author), Al Taie, Ammar Jamal Said (author), Li, Gang (author), Dam, Abhraneil (author), Wang, Yu Kai (author), Wei, Chun Shu (author), Papaioannou, G. (author)
The adoption of automated vehicles will be a positive step towards road safety and environmental benefits. However, one major challenge that still exist is motion sickness. The move from drivers to passengers who will engage in non-driving related tasks as well as the potential change in the layout of the car interior that will come with...
conference paper 2023
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Goodge, Thomas (author), Li, Jingyi (author), Patel, Shiv G. (author), Gravis, Victor (author), Kim, S. (author)
In the future, automated vehicles can allow much longer journeys to be undertaken without a driver. This could involve travel across countries with different road systems, traffic rules, and regulations. Disparate cultures also have different expectations of how vehicles should behave. These need to be taken into account when designing HMIs...
conference paper 2023
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Brand, Sebastiaan (author), Coopmans, T.J. (author), Elkouss Coronas, D. (author), Li, Boxi (author)
The vision of a global network that enables quantum communications between any point on Earth is known as the quantum internet. One crucial element of this network is the use of quantum repeater chains, which have the potential to overcome transmission losses and implement entanglement or quantum key distribution protocols over extended...
conference paper 2023
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Zhang, Xiaoyu (author), Li, Jianping (author), Chi, Po Wei (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents - such as academic papers - for readers from different domains still remains a challenge. To address this, we introduce ConceptEVA, a mixed-initiative approach to generate, evaluate, and...
conference paper 2023
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Li, C. (author), Hendriks, R.C. (author)
Estimating the parameters that describe the acoustic scene is very important for many microphone array applications. For example, consider the power spectral densities (PSDs) or relative acoustic transfer functions (RTFs) that are required when estimating a particular sound source using multi-microphone noise reduction. State-of-the-art...
conference paper 2023
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Neerincx, Anouk (author), Li, Y. (author), van de Sande, Kelvin (author), Broz, F. (author), Neerincx, M.A. (author), de Graaf, Maartje (author)
Social robots can support children in their socio-emotional development [38]. To improve the cooperation between a child and a social robot, a good relationship is vital. Self-disclosure is an essential element for building personal relationships. Yet, knowledge about the effects of self-disclosure in child-robot interactions is still lacking....
conference paper 2023
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Li, Shizhen (author), Jiang, Jing (author), Liu, X. (author), Wang, S. (author), Zhang, Zhonghua (author), Ye, Huaiyu (author)
Substrate metallization is a crucial factor affecting the mechanical properties of sintered nanoparticles in microelectronics applications, as it is essential for ensuring good adhesion between the substrate and the sintered material. In this study, we investigated the influence of metallization on pressure-assisted nanocopper sintering and...
conference paper 2023
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Wang, S. (author), Tan, Yanlong (author), Liu, Xu (author), Li, Shizhen (author), Liu, Ke (author), Yuan, Wucheng (author), Li, Tao (author), Zhang, Kouchi (author), French, P.J. (author), Ye, Huaiyu (author), Tan, Chunjian (author)
In this article, the avalanche withstand capability and transient failure model of commercial 1200 V asymmetric trench gate SiC MOSFETs are investigated by experiment and simulation under single-pulse unclamped inductive switching (UIS) conditions. The limiting avalanche current and limiting avalanche energy of the device are determined by...
conference paper 2023
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Li, Z. (author), Qin, Z. (author), Mirzadarani, R. (author), Ghaffarian Niasar, M. (author), Itraj, M.S. (author), Van Lieshout, Lou (author), Bauer, P. (author)
For electrolyzer applications, traditional solutions using line frequency transformers plus rectifiers are bulky, heavy and have low controllability. The Solid State Transformer (SST) could be a promising solution to solve the mentioned issues. This paper compares the semiconductor ratings and capacitance of five different Modular Multilevel...
conference paper 2023
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Li, Yunqiang (author), van Gemert, J.C. (author), Hoefler, Torsten (author), Moons, Bert (author), Eleftheriou, Evangelos (author), Verhoef, Bram-Ernst (author)
Deep learning algorithms are increasingly employed at the edge. However, edge devices are resource constrained and thus require efficient deployment of deep neural networks. Pruning methods are a key tool for edge deployment as they can improve storage, compute, memory bandwidth, and energy usage. In this paper we propose a novel accurate...
conference paper 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)
Medical waste recycling and treatment has gradually drawn concerns from the whole society, as the amount of medical waste generated is increasing dramatically, especially during the pandemic of COVID-19. To tackle the emerging challenges, this study designs a reverse logistics system architecture with three modules, i.e., medical waste...
conference paper 2023
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Li, H. (author), Rieger, Phillip (author), Zeitouni, Shaza (author), Picek, S. (author), Sadeghi, Ahmad Reza (author)
Federated Learning (FL) has become very popular since it enables clients to train a joint model collaboratively without sharing their private data. However, FL has been shown to be susceptible to backdoor and inference attacks. While in the former, the adversary injects manipulated updates into the aggregation process; the latter leverages...
conference paper 2023
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Hu, D. (author), Li, Z. (author), Fan, J. (author), Zhang, Kouchi (author)
As a critical part of speeding up industrial electrification, power electronics, and its packaging technology are undergoing rapid development. Cu nanoparticle sintering technology has therefore received extensive attention for its excellent performance in the die-attachment layer, where the mechanical properties are essential to be known for...
conference paper 2023
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Hai, R. (author), Koutras, C. (author), Ionescu, A. (author), Li, Z. (author), Sun, W. (author), van Schijndel, Jessie (author), Kang, Yan (author), Katsifodimos, A (author)
Machine learning (ML) training data is often scattered across disparate collections of datasets, called data silos. This fragmentation poses a major challenge for data-intensive ML applications: integrating and transforming data residing in different sources demand a lot of manual work and computational resources. With data privacy and...
conference paper 2023
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Ji, Liangzheng (author), Li, Zaihuan (author), Zhang, Kouchi (author), Zhang, Jing (author), Liu, Pan (author)
Micro LED displays offer superior performance compared to traditional LCD and OLED displays. However, challenges in transfer technology, such as high throughput and scalability, must be addressed. Among various mass transfer techniques, stamp transfer and laser-assisted transfer are widely used for Micro LED assembly. The laser-assisted transfer...
conference paper 2023
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Li, Jingqi (author), Chiu, Chih Yuan (author), Peters, L. (author), Palafox, Fernando (author), Karabag, Mustafa (author), Alonso-Mora, J. (author), Sojoudi, Somayeh (author), Tomlin, Claire (author), Fridovich-Keil, David (author)
Decision-making in multi-player games can be extremely challenging, particularly under uncertainty. In this work, we propose a new sample-based approximation to a class of stochastic, general-sum, pure Nash games, where each player has an expected-value objective and a set of chance constraints. This new approximation scheme inherits the...
conference paper 2023
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Li, Y. (author), Yorke-Smith, N. (author), Keviczky, T. (author)
Towards integrating renewable electricity generation sources into the grid, an important facilitator is the energy flexibility provided by buildings' thermal inertia. Most of the existing research follows a single-step price- or incentive-based scheme for unlocking the flexibility potential of buildings. In contrast, this paper proposes a...
conference paper 2023
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Li, Zhen (author), Chen, Zhiyuan (author), Law, Man-Kay (author), Du, S. (author), Cheng, Xu (author), Zeng, Xiaoyang (author), Han, Jun (author)
With the advent of the lnternet-of-Things (1oT) era, sensor nodes are required in almost all fields to achieve a better interaction between humans and the environment. Piezoelectric energy harvester (PEH), which exhibits an equivalent electrical model of an AC current source /P in parallel with the inherent capacitor CP, is a promising...
conference paper 2023
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Li, Z. (author), Schonfeld, Mariette (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
Given a set of pre-trained Machine Learning (ML) models, can we solve complex analytic tasks that make use of those models by formulating ML inference queries? Can we mitigate different tradeoffs, e.g., high accuracy, low execution costs and memory footprint, when optimizing the queries? In this work we present different multi-objective ML...
conference paper 2023
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Li, Z. (author), Rajan, R.T. (author)
Affine formation control of multiagent systems has recently received increasing attention in various applications. The distributed control of these agents, under single integrator dynamics, relies on the observations of relative positions of the neighboring agents, which when unavailable is detrimental to the mission. In this paper, we...
conference paper 2023
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