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Li, Wenting (author), Yang, Jiahong (author), Cheng, Haibo (author), Wang, Ping (author), Liang, K. (author)
Modeling password distributions is a fundamental problem in password security, benefiting the research and applications on password guessing, password strength meters, honey password vaults, etc. As one of the best segment-based password models, WordPCFG has been proposed to capture individual semantic segments (called words) in passwords....
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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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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Kernan Freire, S. (author), Foosherian, Mina (author), Wang, C.W. (author), Niforatos, E. (author)
As agile manufacturing expands and workforce mobility increases, the importance of efficient knowledge transfer among factory workers grows. Cognitive Assistants (CAs) with Large Language Models (LLMs), like GPT-3.5, can bridge knowledge gaps and improve worker performance in manufacturing settings. This study investigates the opportunities,...
conference paper 2023
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Wang, X. (author), Anisimov, A. (author), Groves, R.M. (author)
The colour of the ground layers of a painting has an influence on its visual appearance. In addition to the commonly used white ground layers, other colour ground layers have been used, for example, the grey ground layer used in Peter Paul Rubens’s painting Portrait of Clara Serena Rubens helps the colour transition of the skin tones....
conference paper 2023
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Ye, Hanting (author), Xiong, Jie (author), Wang, Q. (author)
While radio communication still dominates in 5G, light and radios are expected to complement each other in the coming 6G networks. Visible Light Communication (VLC) is therefore attracting a tremendous amount of attention from both academia and industry. Recent studies showed that the front camera of pervasive smartphones is an ideal...
conference paper 2023
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Kernan Freire, S. (author), Jung, Ji Youn (author), Wang, C.W. (author), Niforatos, E. (author), Bozzon, A. (author)
Emoji have become an essential part of modern communication, helping to convey emotions and tone quickly and concisely. Emoji used by humans and Intelligent Agents (IA) have been shown to affect people’s decision making intentions, suggesting they could be used to manipulate users to follow their advice. We present a mixed-methods...
conference paper 2023
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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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Singh, Jagdeep (author), Wang, Q. (author), Zuniga, Marco (author), Farnham, Tim (author)
Visible Light Positioning (VLP) has been prevalent in providing high-precision localization systems in the past decade. However, the commercial availability or usage is still limited primarily due to the requirement of changing the existing lighting infrastructure. In this paper, we propose HueSense, an alternative technique to develop a passive...
conference paper 2023
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Kernan Freire, S. (author), Wang, C.W. (author), Ruiz Arenas, S. (author), Niforatos, E. (author)
Many industries face the challenge of capturing workers' knowledge to share it, particularly tacit knowledge. The operation of complex systems such as a manufacturing line is knowledge-intensive. Considering this knowledge's breadth and dynamic nature, existing knowledge-sharing solutions are inefficient and resource intensive. Conversational...
conference paper 2023
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Zhang, Z. (author), Wang, Y. (author), Vuik, Cornelis (author), Hajibeygi, H. (author)
We present an efficient compositional framework for simulation of CO2 storage in saline aquifers with complex geological geometries during a lifelong injection and migration process. To improve the computation efficiency, the general framework considers the essential hydrodynamic physics, including hysteresis, dissolution and capillarity, by...
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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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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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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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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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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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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Wang, F. (author), Kooij, Robert (author)
Network controllability and its robustness has been widely studied. However, analytical methods to calculate network controllability with respect to node removals are currently lacking. This paper develops methods, based upon generating functions for the in- and out-degree distributions, to approximate the minimum number of driver nodes...
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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