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Li, S. (author), de Wagter, C. (author), de Croon, G.C.H.E. (author)
Relative localization is an important ability for multiple robots to perform cooperative tasks in GPS-denied environments. This paper presents a novel autonomous positioning framework for monocular relative localization of multiple tiny flying robots. This approach does not require any groundtruth data from external systems or manual labeling....
conference paper 2022
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Li, Jiahong (author), Geiger, S. (author), Gomes, Jorge Costa (author), Petrovskyy, Dmytro (author), Jacquemyn, Carl (author), Hampson, Gary (author), Jackson, Matthew (author), Silva, Julio Daniel Machado (author), Judice, Sicilia (author)
We discuss the application of the new open-source Rapid Reservoir Modelling software (RRM) to create a suite of 3D reservoir models of a complex carbonate formation where each model is increasingly more refined such that progressively more small-scale geological structures are preserved.<br/><br/>Using flow diagnostics we then calculate key...
conference paper 2022
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Li, H. (author), Mentens, Nele (author), Picek, S. (author)
This paper uses RISC-V vector extensions to speed up lattice-based operations in architectures based on HW/SW co-design. We analyze the structure of the number-theoretic transform (NTT), inverse NTT (INTT), and coefficient-wise multiplication (CWM) in CRYSTALS-Kyber, a lattice-based key encapsulation mechanism. We propose 12 vector extensions...
conference paper 2022
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Zhu, Songfeng (author), Li, Xueyuan (author), Qu, Xinyi (author), Liu, Qi (author), Li, Z. (author)
This paper proposes a linear quadratic controller based on particle swarm algorithm for the rear wheel control of four-wheel steering vehicle. Particle swarm optimization with fitness functions is used to optimize the coefficients of the weight matrix offline. The fuzzy rules following the controller is used if the road condition is terrible....
conference paper 2022
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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
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Li, X. (author), Benedictus, R. (author), Zarouchas, D. (author)
The present work aims at investigating the progressive damage accumulation process of CFRP laminates in an interactive scheme, with a special focus on the early fatigue life where mainly matrix-dominant damage accumulates and stiffness degrades significantly. An in-situ damage monitoring system, containing edge observation, digital image...
conference paper 2022
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Li, Z. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes. The metatada is currently not standardised; its expressivity is limited; and there is...
conference paper 2022
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Fitrianie, S. (author), Bruijnes, M. (author), Li, Fengxiang (author), Abdulrahman, A. (author), Brinkman, W.P. (author)
We present the ASA Questionnaire, an instrument for evaluating human interaction with an artificial social agent (ASA), resulting from multi-year efforts involving more than 100 Intelligent Virtual Agent (IVA) researchers worldwide. It has 19 measurement constructs constituted by 90 items, which capture more than 80% of the constructs...
conference paper 2022
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Pöhlmann, Katharina Margareta Theresa (author), Li, Gang (author), Dam, Abhraneil (author), Wang, Yu Kai (author), Wei, Chun Shu (author), Brietzke, Adrian (author), Papaioannou, G. (author)
The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior...
conference paper 2022
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Li, Y. (author), Lu, H. (author), Wang, L. (author), Eltayieb, M.F.M.I. (author), Slob, E.C. (author)
Natural gas hydrates production tests over the last two decades has sown that production is not without risks. Indirect effects in the sedimentary rocks of phase changes are changes in porosity, permeability, and saturation. From a field production test site, porosity changes in the range of 15% to 19% and saturation from 5% to 60% were...
conference paper 2022
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Ren, X. (author), Li, Baihao (author), Hein, C.M. (author)
This article examines street improvement projects in Hankou's case for unearthing the contribution of Chinese political elites and planers in exchanging planning concepts and technologies from the West to China. Aiming to realize the Modern Metropolis, which Sun Yat-sen proposed in the fundamentals of national reconstruction, Chinese political...
conference paper 2022
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He, C. (author), Yang, Z. (author), Zhang, P. (author), Li, S. (author), Naeimi, M. (author), Li, Z. (author)
Polygonal wear is a common type of damage on the railway wheel tread, which could induce wheel-rail impacts and further components failure. This study presents a finite element (FE) thermomechanical model to investigate the causes of wheel polygonal wear. The FE model is able to cope with three possible causes of polygonal wear: thermal...
conference paper 2022
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Phusakulkajorn, W. (author), Hendriks, J.M. (author), Moraal, J. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author), Nunez, Alfredo (author)
In this paper, a fuzzy interval-based method is proposed for solving the problem of rail defect detection relying on an on-board measurement system and a multiple spiking neural network architecture. Instead of outputting binary values (defect or not defect), all data will belong to both classes with different spreads that are given by two fuzzy...
conference paper 2022
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Li, Meng (author), Gao, Jianbo (author), Zhang, Zijian (author), Fu, Chaoping (author), Lal, C. (author), Conti, M. (author)
Shortest distance queries over large-scale graphs bring great benefits to various applications, i.e., save planning time and travelling expenses. To protect the sensitive nodes and edges in the graph, a user outsources an encrypted graph to an untrusted server without losing the query ability. However, no prior work has considered the user...
conference paper 2022
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Neerincx, Anouk (author), Edens, Chantal (author), Broz, F. (author), Li, Yanzhe (author), Neerincx, M.A. (author)
Self-disclosures can be valuable and sensitive parts of the human-robot interaction. This paper investigates how far human's tendency to self-disclose depends on the topic of interaction, individual's personality and perceived robot identity (i.e., human-, robot- or animal-like). Robot's (Pepper) identity was shown in its self-disclosure,...
conference paper 2022
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Wang, X. (author), Li, Z. (author), Alonso-Mora, J. (author), Wang, M. (author)
Real-time safety systems are crucial components of intelligent vehicles. This paper introduces a prediction-based collision risk assessment approach on highways. Given a point mass vehicle dynamics system, a stochastic forward reachable set considering two-dimensional motion with vehicle state probability distributions is firstly established. We...
conference paper 2022
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Li, T. (author), Vos, J.V. (author), Erkin, Z. (author)
In January 2017, a truck crossed the border between Spain and France for the first time using an e-CMR: An electronic version of the primary transport document required for inter-European logistics. Since that crossing, researchers and logistic organizations have proposed a large number of ideas to further digitize Europe’s supply chain. Many of...
conference paper 2022
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Li, Shizhen (author), Liu, X. (author), Jiang, Jing (author), Tan, C. (author), Gao, Chenshan (author), Liu, Yang (author), Ye, H. (author), Zhang, Kouchi (author)
Cu-Ag core-shell (CS) nanoparticle (NP) is considered as a cost-effective alternative material to nano silver sintering material in die attachment application. To further reduce the cost, the thickness of the Ag shell can be adjusted. Whereas the shell thickness will also affect the thermal stability of the Cu-Ag CSNPs. In this study, molecular...
conference paper 2022
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Kawasaki, S. (author), Yeh, Jia-Jun (author), Saccher, M. (author), Li, Jian (author), Dekker, R. (author)
The main limitation of acoustic particle separation for microfluidic application is its low sorting efficiency. This is due to the weak coupling of surface acoustic waves (SAWs) into the microchannel. In this work, we demonstrate bulk acoustic wave (BAW) particle sorting using capacitive micromachined ultrasonic transducers (CMUTs) for the first...
conference paper 2022
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Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)
The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...
conference paper 2022
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