Searched for: +
(81 - 100 of 194)

Pages

document
Tambouris, Efthimios (author), Chen, Yu Che (author), Chun, Soon Ae (author), Janssen, M.F.W.H.A. (author), Meijer, Albert (author), Rana, Nripendra (author), Visvizi, Anna (author)
Publishing research in reputable academic journals is an important objective for researchers in digital government, as in any scientific field. Researchers are under constant pressure to publish their work in highly reputable journals. As a result, a number of facts and myths exist regarding publishing in reputable digital government journals....
conference paper 2021
document
Rukanova, B.D. (author), Tan, Y. (author), Ubacht, J. (author), Molenhuis, Marcel (author), Heijmann, Frank (author), Bosch, Han (author), Palaskas, Zisis (author), Chen, Hao (author), Männistö, Toni (author), Ratnasari, Ade (author)
The international trade flow of e-commerce goods have reached unprecedented volumes. Ensuring undisrupted flow of cross-border eCommerce goods has become one of the top priorities for customs administrations around the world. Customs has a role in safeguarding public values such as safety and security, revenue collection, and stimulation of the...
conference paper 2021
document
Chen, Yifei (author), Li, Meng (author), Zheng, Shuli (author), Lal, C. (author), Conti, M. (author)
Ride-Hailing Service (RHS) has motivated the rise of innovative transportation services. It enables riders to hail a cab or private vehicle at the roadside by sending a ride request to the Ride-Hailing Service Provider (RHSP). Such a request collects rider’s real-time locations, which incur serious privacy concerns for riders. While there are...
conference paper 2021
document
Chen, Jianyu (author), Daverveldt, Maurice (author), Al-Ars, Z. (author)
With the continued increase in the amount of big data generated and stored in various application domains, such as high-frequency trading, compression techniques are becoming ever more important to reduce the requirements on communication bandwidth and storage capacity. Zstandard (Zstd) is emerging as an important compression algorithm for big...
conference paper 2021
document
Chen, Anqi (author), Sun, P. (author), Kooij, Robert (author)
Network recoverability refers to the ability of a network to recover to a desired performance level after suffering topological perturbations such as link failures. The minimum number of driver nodes is a typical metric to denote the network controllability. In this paper, we propose closed-form analytic approximations for the minimum number of...
conference paper 2021
document
Ghiassi, S. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Big Data systems allow collecting massive datasets to feed the data hungry deep learning. Labelling these ever-bigger datasets is increasingly challenging and label errors affect even highly curated sets. This makes robustness to label noise a critical property for weakly-supervised classifiers. The related works on resilient deep networks...
conference paper 2021
document
Chen, Hao (author), Van Rijnsoever, Ben (author), Molenhuis, Marcel (author), van Dijk, Dennis (author), Tan, Y. (author), Rukanova, B.D. (author)
As an increasing volume of international trade activities around the world, the amount of cross-boarder import declarations grows rapidly, resulting in an unprecedented scale of potentially fraudulent transactions, in particular false commodity code (e.g., HS Code). The incorrect HS Code will cause duty risk and adversely impact the revenue...
conference paper 2021
document
Tjiam, Kevin (author), Wang, R. (author), Chen, H. (author), Liang, K. (author)
Smart contracts on Ethereum enable billions of dollars to be transacted in a decentralized, transparent and trustless environment. However, adversaries lie await in the Dark Forest, waiting to exploit any and all smart contract vulnerabilities in order to extract profits from unsuspecting victims in this new financial system. As the...
conference paper 2021
document
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
document
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
document
Chen, N. (author), van Arem, B. (author), Wang, M. (author)
This paper aims to optimize on-ramp merging processes for connected automated vehicles by utilizing an existing hierarchical control architecture including a decision-maker and an operational controller. The decision-maker employs surrogate linear models to predict future vehicular acceleration analytically and computes a merging sequence to...
conference paper 2020
document
Schmidt, Annika (author), Pereira, Aaron (author), Baker, Thomas (author), Pleintinger, Benedikt (author), Hulin, Thomas (author), Chen, Zhaopeng (author), Abbink, D.A. (author), Lii, Neal Y. (author)
Advances in exoskeleton technology now enable interacting with rigid objects in a virtual or remote environment using one's hand and fingertips. However, interaction with non-solid materials - such as liquids, sediments and regolith - alongside solids, can greatly extend the versatility of this technology. Rendering rigid objects adequately...
conference paper 2020
document
Gong, J. (author), Chen, Yue (author), Sebastiano, F. (author), Charbon-Iwasaki-Charbon, E. (author), Babaie, M. (author)
Low-power, low phase noise (PN) cryogenic frequency generation is required for the control electronics of quantum computers. To avoid limiting the performance of quantum bits, the frequency noise of a PLL should be < 1.9 kHz rms [1]. However, it is challenging for RF oscillators, as the heart of frequency synthesizers to satisfy such a...
conference paper 2020
document
Chen, P. (author), Engel, Philip (author), Mazur, Adam (author), Abélard, Clément (author), Urbach, Paul (author)
Accurate optical modeling for design and optimization of liquid crystal on silicon spatial light modulators (LCoS SLMs) is important for phase-related applications. Traditional matrix method cannot accurately predict the optical performance when the LC distribution is complex, therefore the rigorous finite element method (FEM) is preferred....
conference paper 2020
document
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
document
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
document
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
document
Xu, Junzhong (author), Gao, Fei (author), Soeiro, Thiago B. (author), Chen, Linglin (author), Tarisciotti, Luca (author), Tang, Houjun (author), Bauer, P. (author)
The implementation of traditional finite-control-set model predictive control (FCS-MPC) with variable switching frequency in voltage source rectifiers (VSRs) can make the system suffer from poor current harmonics performance. In fact, the resulting wide-spread voltage harmonic generated at the AC terminals makes the design of the typical multi...
conference paper 2020
document
Xu, Junzhong (author), Gao, Fei (author), Soeiro, Thiago B. (author), Chen, Linglin (author), Tarisciotti, Luca (author), Tang, Houjun (author), Bauer, P. (author)
In the applications of three-phase two-level voltage source inverters (VSIs) relatively large energy storage capacitors are used to absorb the high DC-link current ripples mainly caused by the circulating reactive power, the switched AC phase current flowing to the DC-link, and other dynamic and/or asymmetric operating conditions. Especially for...
conference paper 2020
document
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
Searched for: +
(81 - 100 of 194)

Pages