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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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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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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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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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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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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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Boonprakong, Nattapat (author), He, G. (author), Gadiraju, Ujwal (author), Van Berkel, Niels (author), Wang, Danding (author), Chen, Si (author), Liu, Jiqun (author), Tag, Benjamin (author), Goncalves, Jorge (author), Dingler, Tilman (author)
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and...
conference paper 2023
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Warchocki, J. (author), Oprescu, T. (author), Wang, Y. (author), Dămăcuș, A. (author), Misterka, P.M. (author), Bruintjes, R. (author), Lengyel, A. (author), Strafforello, O. (author), van Gemert, J.C. (author)
In temporal action localization, given an input video, the goal is to predict which actions it contains, where they begin, and where they end. Training and testing current state-of- the-art deep learning models requires access to large amounts of data and computational power. However, gathering such data is challenging and computational...
conference paper 2023
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Kernan Freire, S. (author), Niforatos, E. (author), Wang, C.W. (author), Ruiz Arenas, S. (author), Foosherian, Mina (author), Wellsandt, Stefan (author), Bozzon, A. (author)
Learning to operate a complex system, such as an agile production line, can be a daunting task. The high variability in products and frequent reconfigurations make it difficult to keep documentation up-to-date and share new knowledge amongst factory workers. We introduce CLAICA, a Continuously Learning AI Cognitive Assistant that supports...
conference paper 2023
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Brandt, C.E. (author), Wang, D. (author), Zaidman, A.E. (author)
Test amplification generates new tests by mutating existing, developer-written tests and keeping those tests that improve the coverage of the test suite. Current amplification tools focus on starting from a specific test and propose coverage improvements all over a software project, requiring considerable effort from the software engineer to...
conference paper 2023
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Lou, Yang (author), Song, Q. (author), Xu, Qian (author), Tan, Rui (author), Wang, J. (author)
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of each fusion input and may suffer from adverse conditions on one or more sensors. While predictive uncertainty has been applied to characterize single-modal object...
conference paper 2023
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Ni, Tao (author), Lan, G. (author), Wang, Jia (author), Zhao, Qingchuan (author), Xu, Weitao (author)
Radio-frequency (RF) energy harvesting is a promising technology for Internet-of-Things (IoT) devices to power sensors and prolong battery life. In this paper, we present a novel side-channel attack that leverages RF energy harvesting signals to eavesdrop mobile app activities. To demonstrate this novel attack, we propose AppListener, an...
conference paper 2023
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Liu, Z. (author), Doubrovski, E.L. (author), Geraedts, Jo M.P. (author), Yam, Y (author), Wang, W. (author), Wang, C.C.L. (author)
In this paper, we propose a method to reconstruct a digital 3D model of a stolen/damaged statue using photogrammetric methods. This task is challenging because the number of available photos for a stolen statue is in general very limited – especially the side/back view photos. Besides using standard structure-from-motion and multi-view stereo...
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
document
Cui, Minhao (author), Wang, Q. (author), Xiong, Jie (author)
Visible Light Communication (VLC) is widely considered a promising technology for the coming 6G networks. Recent studies show that a VLC transmitter not only emits visible light signals but also leaks RF signals during the transmission. In this work, we devote effort to harvesting the free leaked RF energy from VLC transmissions. We observe that...
conference paper 2023
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