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Xu, Longxiang (author), León Sánchez, C.A. (author), Agugiaro, G. (author), Stoter, J.E. (author)Nowadays, our society is in the transit to adopt more sustainable energy sources to reduce our impact on the environment; one alternative is solar energy. However, this is highly affected by the surroundings, which might cause shadowing effects. In this paper, we present our method to perform shadowing calculations in urban areas using semantic...conference paper 2024
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Li, T. (author), Xu, L. (author), Erkin, Z. (author), Lagendijk, R.L. (author)With the fast development of e-commerce, there is a higher demand for timely delivery. Logistic companies want to send receivers a more accurate arrival prediction to improve customer satisfaction and lower customer retention costs. One approach is to share (near) real-time location data with recipients, but this also introduces privacy and...conference paper 2024
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Zhou, Yimin (author), Gillavry, Merlijn Mac (author), Yang, Pengzhi (author), Xu, Zihao (author), Zhang, Baitian (author), Bidarra, Rafael (author)As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive sciences, especially when the visual output diverges from real-world actions. Previous research in BO uses questionnaires and brain...conference paper 2024
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Martin, H.A. (author), Xu, Haojia (author), Smits, Edsger C.P. (author), van Driel, W.D. (author), Zhang, Kouchi (author)This study introduces a training protocol utilizing Convolutional Neural Networks (CNNs) and Confocal Scanning Acoustic Microscopy (CSAM) imaging techniques to classify Power Quad Flat No-leads (PQFN) package delamination. The investigation involves empty PQFN packages with varied substrate metallizations subjected to thermal cycling. Four...conference paper 2024
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Xu, Y. (author), de Croon, G.C.H.E. (author)In this paper, we propose a learning-based lightweight visual-inertial odometry (VIO) based on an uncertainty-aware pose network and an extended Kalman filter (EKF). The pose network serving as the VIO vision front-end predicts the relative motion of the camera between consecutive image frames and estimates the prediction uncertainty. The...conference paper 2023
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Xu, Y. (author), de Croon, G.C.H.E. (author)When deployed onboard micro air vehicles (MAVs) with limited processing power, visual ego-motion estimation solutions face an efficiency-accuracy trade-off. This paper proposes an aerodynamic-model-aided approach that emphasizes time efficiency over estimation accuracy. A linear drag force model of propellers guarantees bounded estimation errors...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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Xu, Y. (author), Krishnakumari, P.K. (author), Yorke-Smith, N. (author), Hoogendoorn, S.P. (author)COVID-19 significantly influenced travel behaviours and public attitudes towards public transport. Various studies have illustrated complicated factors related to long-term travel behaviour, indicating difficulty in understanding and predicting post-pandemic long-term travel behaviour via traditional methods. In these complex circumstances,...conference paper 2023
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Xu, J. (author), Koffas, S. (author), Ersoy, Oǧuzhan (author), Picek, S. (author)Graph Neural Networks (GNNs) have achieved promising performance in various real-world applications. Building a powerful GNN model is not a trivial task, as it requires a large amount of training data, powerful computing resources, and human expertise. Moreover, with the development of adversarial attacks, e.g., model stealing attacks, GNNs...conference paper 2023
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Xu, J. (author), Abad, Gorka (author), Picek, S. (author)Backdoor attacks have been demonstrated as a security threat for machine learning models. Traditional backdoor attacks intend to inject backdoor functionality into the model such that the backdoored model will perform abnormally on inputs with predefined backdoor triggers and still retain state-of-the-art performance on the clean inputs. While...conference paper 2023
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Xu, Li (author), Li, T. (author), Erkin, Z. (author)Verifiable Credential (VC) is a new standard proposed by the W3C association to facilitate the expression and verification of third-party-verified credentials on the Internet, such as passports or diplomas. However, the current VC data model lacks an explicit revocation design that guarantees the secure operations of the system, which limits its...conference paper 2023
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Zhao, Zheyu (author), Cheng, H. (author), Xu, Xiaohua (author)Massive terminal users have brought explosive need of data residing at edge of overall network. Multiple Mobile Edge Computing (MEC) servers are built in/near base station to meet this need. However, optimal distribution of these servers to multiple users in real time is still a problem. Reinforcement Learning (RL) as a framework to solve...conference paper 2023
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Duan, Di (author), Yang, Huanqi (author), Lan, G. (author), Li, Tianxing (author), Jia, Xiaohua (author), Xu, Weitao (author)This paper presents EMGSense, a low-effort self-supervised domain adaptation framework for sensing applications based on Electromyography (EMG). EMGSense addresses one of the fundamental challenges in EMG cross-user sensing—the significant performance degradation caused by time-varying biological heterogeneity—in a low-effort (data-efficient and...conference paper 2023
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de Groot, Lucan (author), Xu, M. (author), Zuniga, Marco (author)We explore a new alternative for drones to gather information from sensors. Instead of using the traditional radio-frequency spectrum, whose broadcast nature makes it more difficult to poll specific objects, we utilize the light spectrum. In our system, the drone carries a light, and flies to an area that it is interested in polling. Only the...conference paper 2023
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Xu, Ran (author), Wang, F. (author), Kooij, Robert (author)In this paper we investigate the controller placement problem on networks using controller reachability as the network performance metric. This metric is defined as the probability that each node can reach at least one controller, given that each link is operational with a fixed probability. By exploring placements for more than 100 real-world...conference paper 2023
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Xu, J. (author), Hong, C. (author), Huang, J. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to compute a global model. Depending on the aggregation method used, the local updates are either the gradients or the weights of local learning models, e.g., FedAvg...conference paper 2023
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Ampudia Hernandez, Ricardo (author), Xu, M. (author), Huang, Yanqiu (author), Zuniga, Marco (author)In this paper, we propose a new approach where drones attain accurate localization by fusing information from artificial lighting and their embedded inertial and barometer sensors. Our system is able to provide accurate drone localization without the use of radios, GPS or cameras. We evaluate our framework, dubbed Firefly, with a testbed...conference paper 2023
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Xu, Jie (author), Hendriks, M.A.N. (author), Rots, J.G. (author), Tsouvalas, A. (author)Due to the accompanying severe consequences of explosions, the blast puts a great threat to public security. Nonlinear finite element analysis is a possible method for civil engineers to check the integrity of the structures under blast loading without underestimating the limit of the structures. However, different choices of element types...conference paper 2023
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Conti, M. (author), Li, Jiaxin (author), Picek, S. (author), Xu, J. (author)Graph Neural Networks (GNNs), inspired by Convolutional Neural Networks (CNNs), aggregate the message of nodes' neighbors and structure information to acquire expressive representations of nodes for node classification, graph classification, and link prediction. Previous studies have indicated that node-level GNNs are vulnerable to Membership...conference paper 2022