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Lu, X. (author), Chen, B. Y. (author), Tan, V. B.C. (author), Tay, T. E. (author)The interaction between matrix cracks and interface delamination is a major failure mechanism in composite laminates and has been a subject of active research in recent years. Although coupled failure behaviour of composite laminates between matrix cracks and delamination has been observed in experiments, accurate modelling of this phenomenon...conference paper 2020
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Russo, R. (author), Chen, B. Y. (author)Cohesive Element (CE) is a well-established finite element for fracture, widely used for the modelling of delamination in composites. However, the computational time of CE-based method is prohibitive. This is because the steep and non-smooth stress gradient in the cohesive zone requires a very fine mesh. In this context, a new type of CE is...conference paper 2020
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Zhi, J. (author), Chen, B. Y. (author), Tay, T. E. (author)Tremendous efforts have been put into the study of structural integrity and the understanding of failure mechanisms in composites. Geometric non-linearity, receiving few attention in coupon-level simulations, can play an important role in the design and analysis of larger structures. This paper aims at extending the recently-developed...conference paper 2020
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Huang, J. (author), Talbi, Rania (author), Zhao, Z. (author), Boucchenak, Sara (author), Chen, Lydia Y. (author), Roos, S. (author)Federated Learning is an emerging distributed collaborative learning paradigm adopted by many of today's applications, e.g., keyboard prediction and object recognition. Its core principle is to learn from large amount of users data while preserving data privacy by design as collaborative users only need to share the machine learning models...conference paper 2020
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Chen, H. (author), Tan, E.B.K. (author), Lee, Y. (author), Praharaj, S. (author), Specht, M.M. (author), Zhao, G. (author)Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching and learning practices. However, the current AI technology mostly works as "black box"-only the inputs and the corresponding outputs are available, which largely impedes...conference paper 2020
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Ibrahimi, Sarah (author), Chen, Shuo (author), Arya, Devanshu (author), Câmara, Arthur (author), Chen, Yunlu (author), Crijns, Tanja (author), Van Der Goes, Maurits (author), Mensink, Thomas (author), Van Miltenburg, Emiel (author)This demo presents a system for journalists to explore video footage for broadcasts. Daily news broadcasts contain multiple news items that consist of many video shots and searching for relevant footage is a labor intensive task. Without the need for annotated video shots, our system extracts semantics from footage and automatically matches...conference paper 2019
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Kuo, Feng Wei (author), Zong, Z. (author), Chen, Huan Neng Ron (author), Cho, Lan Chou (author), Jou, Chewn Pu (author), Chen, Mark (author), Staszewski, R.B. (author)This paper presents a digitally controlled frequency generator for dual frequency-band radar system that is optimized for 16 nm FinFET CMOS. It is based on a 21% wide tuning range,fine-resolution DCO with only switchable metal capacitors. A third-harmonic boosting DCO simultaneously generates 22.5-28 GHz and sufficiently strong 68-84 GHz...conference paper 2019
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Behbahani, Feryal (author), Shiarlis, Kyriacos (author), Chen, Xi (author), Kurin, Vitaly (author), Kasewa, Sudhanshu (author), Stirbu, Ciprian (author), Gomes, Joao (author), Paul, Supratik (author), Oliehoek, F.A. (author)Learning from demonstration (LfD) is useful in settings where hand-coding behaviour or a reward function is impractical. It has succeeded in a wide range of problems but typically relies on manually generated demonstrations or specially deployed sensors and has not generally been able to leverage the copious demonstrations available in the...conference paper 2019
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Chen, B. (author), Sun, Yubo (author), Jacquemin, Loic (author), Zhang, Shizhe (author), Blom, Kees (author), Lukovic, M. (author), Ye, G. (author)At present, most municipal solid waste incineration (MSWI) bottom ash, as being disposed of as waste, is directly landfilled, raising concern about the environmental issue and potential loss of resources. Given that the natural raw materials used for cement production are being depleted, the recycling of MSWI bottom ash for the application as...conference paper 2019
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Yan, Y. (author), Vreeburg, Wouter (author), Chen, Guangming (author), Schott, D.L. (author)Using bionic surface on the material equipment interface of bulk handling equipment is a promising solution for wear reduction. A bionic surface is a flat surface outfitted with a pattern of convexes that disrupt the natural sliding flow of bulk material. Previous numerical work has shown a significant reduction of wear of bionic surfaces...conference paper 2019
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Chen, Y. (author), Yalçinkaya, Ç. (author), Copuroglu, Oguzhan (author), Schlangen, E. (author)Recently, our group attempted to develop the ternary blended (Portland cement, calcined clay and limestone) cementitious material for 3D concrete printing (3DCP). Due to the elimination of formwork during the layer-by-layer casting process, the printed material should have favorable elastic properties and green strength at the fresh state. A...conference paper 2019
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Chen, Cong (author), Batselier, K. (author), Ko, Ching Yun (author), Wong, Ngai (author)A restricted Boltzmann machine (RBM) learns a probability distribution over its input samples and has numerous uses like dimensionality reduction, classification and generative modeling. Conventional RBMs accept vectorized data that dismiss potentially important structural information in the original tensor (multi-way) input. Matrix-variate...conference paper 2019
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Chen, Cong (author), Batselier, K. (author), Ko, Ching Yun (author), Wong, Ngai (author)There has been growing interest in extending traditional vector-based machine learning techniques to their tensor forms. Support tensor machine (STM) and support Tucker machine (STuM) are two typical tensor generalization of the conventional support vector machine (SVM). However, the expressive power of STM is restrictive due to its rank-one...conference paper 2019
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Chen, L. (author), Haseltalab, A. (author), Garofano, V. (author), Negenborn, R.R. (author)In this paper, a distributed control approach is proposed to enable fuel-efficient Vessel Train Formations (VTF) in inland waterways and port areas for addressing the efficiency and environmental issues of transport over water. For path tracking, collision avoidance, and consensus over the VTF speed a distributed Model Predictive Control (MPC...conference paper 2019
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Chen, Yong (author), Lv, Maolong (author), Baldi, S. (author), Liu, Zongcheng (author), Zhang, Wenqian (author), Zhou, Yang (author)This work focuses on adaptive neural dynamic surface control (DSC) for an extended class of nonlinear MIMO strict-feedback systems whose control gain functions are continuous and possibly unbounded. The method is based on introducing a compact set which is eventually proved to be an invariant set: thanks to this set, the restrictive...conference paper 2019
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Chen, X (author), Yang, Y. (author), Evangeliou, P. (author), Van Der Ham, H. (author)As the bridge stock in The Netherlands and Europe is ageing, various methods to analyse the capacity of existing bridges are being studied. Proof load testing is one of the method to test the capacity of bridges by applying loads on the existing concrete bridges with small spans. Because of the fact that neither the actual traffic load nor the...conference paper 2019
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Streicher, Maximilian (author), Kortenhaus, Andreas (author), Altomare, Corrado (author), Hughes, Steven (author), Marinov, Krasimir (author), Hofland, Bas (author), Chen, X. (author), Suzuki, T. (author), Cappietti, Lorenzo (author)Overtopping bore impact forces on a dike mounted vertical wall were measured in similar large-scale (Froude length scale factor 1-to-4.3) and small-scale (Froude length scale factor 1-to-25) models. The differences due to scale effects were studied, by comparing the up-scaled force measurements from both models in prototype. It was noted that if...conference paper 2019
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Fang, J. (author), Chen, Jianyu (author), Al-Ars, Z. (author), Hofstee, H.P. (author), Hidders, Jan (author)While in-memory databases have largely removed I/O as a bottleneck for database operations, loading the data from storage into memory remains a significant limiter to end-to end performance. Snappy is a widely used compression algorithm in the Hadoop ecosystem and in database systems and is an option in often-used file formats such as Parquet...conference paper 2018
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Chen, G. (author), Hauff, C. (author), Houben, G.J.P.M. (author)Knowledge tracing serves as a keystone in delivering personalized education. However, few works attempted to model students’ knowledge state in the setting of Second Language Acquisition. The Duolingo Shared Task on Second Language Acquisition Modeling (Settles et al., 2018) provides students’ trace data that we extensively analyze and engineer...conference paper 2018
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He, L. (author), de Weerdt, M.M. (author), Yorke-Smith, N. (author), Liu, Xiaolu (author), Chen, Yingwu (author)Agile Earth observation satellite (AEOS) scheduling is complex, due to long visible time windows and time-dependent transitions between observations. We introduce a generic approach suited for scheduling problems characterised by time-dependency and/or sequence-dependency. Our approach is a novel hybridization of adaptive large neighbourhood...conference paper 2018