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Zou, L. (author), Wang, An (author), Wang, H. (author)
Temporal networks are networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast and mitigate the spread of epidemics and misinformation on the network. Most existing methods for temporal network prediction are based on machine learning algorithms, at the expense...
conference paper 2023
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Leibbrandt, Louise (author), Zhang, S. (author), Roelvink, M.A.T. (author), Bergkamp, Stan (author), Li, Xinqi (author), Bisschop, Lieselot (author), Wingerde, Karin van (author), Wang, H. (author)
This paper aims to understand to what extent the amount of drug (e.g., cocaine) trafficking per country can be explained and predicted using the global shipping network. We propose three distinct network approaches, based on topological centrality metrics, Susceptible-Infected-Susceptible spreading process and a flow optimization model of...
conference paper 2023
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Nasri, Maedeh (author), Fang, Zhizhou (author), Baratchi, Mitra (author), Englebienne, Gwenn (author), Wang, Shenghui (author), Koutamanis, A. (author), Rieffe, Carolien (author)
Detecting and analyzing group behavior from spatio-temporal trajectories is an interesting topic in various domains, such as autonomous driving, urban computing, and social sciences. This paper revisits the group detection problem from spatio-temporal trajectories and proposes “WavenetNRI”, a graph neural network (GNN) based method. The...
conference paper 2023
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Fernández Robledo, O. (author), Klepper, M. (author), van Boven, E.F.M. (author), Wang, H. (author)
Community detection of temporal (time-evolving) bipartite networks is challenging because it can be performed either on the temporal bipartite network, or on various projected networks, composed of only one type of nodes, via diverse community detection algorithms. In this paper, we aim to systematically design detection methods addressing...
conference paper 2023
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Zhu, R. (author), Yang, M. (author), Yang, J. (author), Wang, Q. (author)
Federated Learning (FL) is an important privacy-preserving learning paradigm that is expected to play an essential role in the future Intelligent Internet of Things (IoT). However, model training in FL is vulnerable to noise and the statistical heterogeneity of local data across IoT clients. In this paper, we propose FedNaWi, a “Go Narrow, Then...
conference paper 2023
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Liu, Bin (author), Wang, Q. (author), Pollin, Sofie (author)
This paper presents a novel transparent amplifying intelligent surface (TAIS) architecture for uplink enhancement in indoor-to-outdoor mmWave communications. The TAIS is an amplifier-based transmissive intelligent surface that can refract and amplify the incident signal, instead of only refracting it with adjustable phase shift by most passive...
conference paper 2023
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Hersyandika, Rizqi (author), Rossanese, Marco (author), Lutu, Andra (author), Yang, Miao (author), Wang, Q. (author), Pollin, Sofie (author)
This paper studies a promising use case of a private 5G network for the sports industry: wearable bodycams and sensors in a football match. This use case requires a reliable and dedicated massive MIMO network to provide uniform coverage with a high capacity in the whole pitch area. The coverage of co-located and distributed (cell-free) massive...
conference paper 2023
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Mir, Muhammad Sarmad (author), Cui, Minhao (author), Guzman, Borja Genoves (author), Wang, Q. (author), Xiong, Jie (author), Giustiniano, Domenico (author)
Radio-Frequency (RF) backscatter has emerged as a low-power communication technique. Backscatter systems either rely on active signal generators (spectrum efficient, but dedicated infrastructure) or existing ambient wireless transmissions (existing infrastructure, but spectrum inefficient). In this paper, we aim to make RF backscatter...
conference paper 2023
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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
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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, 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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Chang, J. (author), De Breuker, R. (author), Wang, Xuerui (author)
Incremental control, including incremental nonlinear dynamic inversion (INDI) and incremental backstepping (IBS), is a sensor-based control framework that enhances the control robustness by exploiting sensor measurements. Although its effectiveness has been demonstrated on various aerospace systems, the explicit and quantifiable expression for...
conference paper 2022
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Mkhoyan, T. (author), Wang, Xuerui (author), De Breuker, R. (author)
This study investigated the design and development of an autonomous aeroservoelastic wing concept with distributed flaps. This wing demonstrator was developed in the scope of the SmartX project, aiming to demonstrate in-flight performance optimization and multi-objective control with over-actuated wing designs. Following a successful test...
conference paper 2022
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van Overeem, S. (author), Wang, Xuerui (author), van Kampen, E. (author)
Considerable growth in the number of passengers and cargo transported by air is predicted. Besides that, aircraft noise and climate impact become increasingly important factors in aircraft design. These existing challenges in aviation boost interest in the design of innovative aircraft configurations. One of these configurations is a V-shaped...
conference paper 2022
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Ruland, O.L. (author), Mkhoyan, T. (author), De Breuker, R. (author), Wang, Xuerui (author)
Morphing is a promising bio-inspired technology, with the potential to make aircraft more economical and sustainable through adaptation of the wing shape for best efficiency at any flight condition. This paper proposes an online black-box performance optimization strategy for a seamless wing with distributed morphing control. Pursuing global...
conference paper 2022
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Jiang, Y. (author), Dai, R. (author), Zeng, J. (author), Butler, R.M. (author), Vijfvinkel, T.S. (author), Wang, Y. (author), van den Dobbelsteen, J.J. (author), van der Elst, M. (author), Dauwels, J.H.G. (author)
Workflow analysis is a young research field that has been gaining traction in recent years. Work in this field aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations are made and evaluated by algorithms rather than human experts. For our study, we mount...
conference paper 2022
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Goedemondt, K.S. (author), Yang, J. (author), Wang, Q. (author)
Touchscreens and buttons had became a medium for virus transmission during the COVID-19 pandemic. We have seen in our daily life that people use tissues and keys to press buttons inside elevators, on public screens, etc. In the post- COVID world, touch-free interaction with public touchscreens and buttons may become more popular. Motivated by...
conference paper 2022
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Yao, Y. (author), Zhang, Q. (author), HU, Y. (author), Meo, C. (author), Wang, Y. (author), Nanetti, Andrea (author), Dauwels, J.H.G. (author)
We typically search for images by keywords, e.g., when looking for images of apples, we would enter the word “apple” as query. However, there are limitations. For example, if users input keywords in a specific language, then they may miss results labeled in other languages. Moreover, users may have an image of the object they want to obtain more...
conference paper 2022
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Bi, H. (author), Kyryliuk, M.S. (author), Wang, Z. (author), Meo, C. (author), Wang, Y. (author), Imhoff, Ruben (author), Uijlenhoet, R. (author), Dauwels, J.H.G. (author)
Extreme precipitation usually leads to substantial impacts. Floods in the Netherlands, Belgium and Germany in the summer of 2021 have caused loss of lives, destruction of infrastructures, and long-term effect on economics. To avoid such disasters, it is important to develop a reliable and accurate method to predict heavy rain.
conference paper 2022
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Wang, H. (author), Hendriks, J.M. (author), Dollevoet, R.P.B.J. (author), Zoeteman, Arjen (author), Nunez, Alfredo (author)
Aiming to handle the increasing variety and volume of railway infrastructure monitoring data, this paper explores the use of intelligent data fusion methods for automatic anomaly detection of railway catenaries. Three classical data dimensionality reduction methods, namely the principal component analysis (PCA), the autoencoder neural network,...
conference paper 2022
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