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Mkhoyan, T. (author), Wang, Xuerui (author), De Breuker, R. (author)
This research takes a further step towards the development of an autonomous aeroservoelastic wing concept with distributed flaps. The wing demonstrator, developed within the TU Delft SmartX project, aims to demonstrate in-flight performance optimization and multi-objective control using an over-actuated wing design. To address the challenges...
conference paper 2024
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Brembilla, E. (author), Wang, Taoning (author), Theodoropoulou, Panagiota (author), Beck, Wouter (author)
The presence of sensor networks to monitor environmental conditions and the automation of blinds and lighting systems controls is now commonplace in buildings, especially public ones with a high number of occupants. However, implementing control algorithms that are sufficiently reactive to variable sky conditions and that actually meet...
conference paper 2024
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Wang, S. (author), Zong, Qihang (author), Yang, Huiru (author), Huang, Qianming (author), Ye, Huaiyu (author), French, P.J. (author)
In recent years, flexible strain sensors based on metal cracks have garnered significant interest for their exceptional sensitivity. However, striking a balance between sensitivity and detection range remains a significant challenge, which often limits its wider application. Herein, we introduce an innovative laser transmission pyrolysis...
conference paper 2024
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Zhu, P. (author), Wang, Zhen (author), Okumura, Manabu (author), Yang, J. (author)
Textbook question answering is challenging as it aims to automatically answer various questions on textbook lessons with long text and complex diagrams, requiring reasoning across modalities. In this work, we propose MRHF, a novel framework that incorporates dense passage re-ranking and the mixture-of-experts architecture for TQA. MRHF...
conference paper 2024
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Lu, Zehao (author), Wang, Shihan (author), Ren, Xiao Long (author), Costas, Rodrigo (author), Metze, T.A.P. (author)
Numerous research efforts have centered on identifying the most influential players in networked social systems. This problem is immensely crucial in the research of complex networks. Most existing techniques either model social dynamics on static networks only and ignore the underlying time-serial nature or model the social interactions as...
conference paper 2024
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Yu, Fuyang (author), Wang, Zhen (author), Li, Dongyuan (author), Zhu, P. (author), Liang, Xiaohui (author), Wang, Xiaochuan (author), Okumura, Manabu (author)
Cross-modal retrieval, as an important emerging foundational information retrieval task, benefits from recent advances in multimodal technologies. However, current cross-modal retrieval methods mainly focus on the interaction between textual information and 2D images, lacking research on 3D data, especially point clouds at scene level,...
conference paper 2024
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Mooij, E. (author), Wang, Xuerui (author)
This paper focuses on the attitude control and propellant slosh suppression of aeroelastic launch vehicles in a turbulent atmosphere. For a five-degree pitch-angle block command, the tracking performance of the selected Incremental Non-Linear Dynamic Inversion Sliding Mode Controller (INDI-SMC) shows excellent tracking performance. However,...
conference paper 2023
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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. Moreover, 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 flying...
conference paper 2023
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Vasudevan, S. (author), De Breuker, R. (author), Wang, Xuerui (author)
This paper aims to explore the advantages offered by machine learning (ML) for dimensionality reduction of nonlinear transonic aerodynamics. Three ML techniques are evaluated in terms of their ability to generate interpretable low-dimensional manifolds of the transient pressure distributions over a NACA4412 airfoil equipped with a flap. These ML...
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
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Brouwer, W.S. (author), Wang, Y. (author), van Leijen, F.J. (author), Hanssen, R.F. (author)
InSAR enables the estimation of displacements of (objects on) the earth's surface. To provide reliable estimates, both a stochastic and mathematical model are required. However, the intrinsic problem of InSAR is that both are unknown. Here we derive the Variance-Covariance Matrix (VCM) for double differenced phase observations for an arc, i.e...
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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Wang, L. (author), Qin, Z. (author), Xiao, J. (author), Bauer, P. (author)
The critical short circuit ratio (CSCR), as an important metric for grid stability evaluation, is not clearly defined in the literature. Aimed at clarifying the misunderstandings, the paper compares the different CSCR definitions. Moreover, CSCR reduction-oriented design is studied for electric vehicle chargers. Simulations verify the analysis.
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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Xiao, J. (author), Wang, L. (author), Qin, Z. (author), Bauer, P. (author)
This paper proposes a virtual impedance reshaping strategy to share active and harmonic power while promoting the PCC voltage quality. Moreover, the suggested method is resilient to cyber-attacks and immune to communication interruption and delay. Furthermore, it significantly reduces the communication burden. Experiments verify the...
conference paper 2023
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Ghavamipour, Ali Reza (author), Turkmen, Fatih (author), Wang, Rui (author), Liang, K. (author)
Synthetic data generation plays a crucial role in many areas where data is scarce and privacy/confidentiality is a significant concern. Generative Adversarial Networks (GANs), arguably one of the most widely used data synthesis techniques, allow for the training of a model (i.e., generator) that can generate real-looking data by playing a min...
conference paper 2023
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Masoumian, S. (author), Maes, Roel (author), Wang, Rui (author), Yerriswamy, Karthik Keni (author), Schrijen, Geert-Jan (author), Hamdioui, S. (author), Taouil, M. (author)
SRAM Physical Unclonable Functions (PUFs) are one of the popular forms of PUFs that can be used to generate unique identifiers and randomness for security purposes. Hence, their resilience to attacks is crucial. The probability of attacks increases when the SRAM PUF start-up values follow a predictable pattern which we refer to as bias. In this...
conference paper 2023
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Assabumrungrat, Rawin (author), Kumchaiseemak, N. (author), Wang, J. (author), Wang, D. (author), Punpeng, Phoom (author), Fioranelli, F. (author), Wilaiprasitporn, Theerawit (author)
We present a deep learning-based approach called DipSAR for reconstructing millimeter-wave synthetic aperture radar (SAR) images from sparse samples. The primary challenge lies in the requirement of a large training dataset for deep learning schemes. To overcome this issue, we employ the deep image prior (DIP) technique, which eliminates the...
conference paper 2023
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Wang, Yujie (author), Zhang, Qunfei (author), Ma, Shengqian (author), Zhang, Lingling (author), Han, Jing (author), Leus, G.J.T. (author)
Differential orthogonal signal-division multiplexing (OSDM) is attractive for underwater acoustic (UWA) communications because it can eliminate channel estimation, resulting in a substantial reduction of complexity at the receiver. However, when the channel is time-varying, it may suffer from serious inter-vector interference (IVI), which is...
conference paper 2023
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