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Li, Z. (author), Sun, W. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
The proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration...
conference paper 2023
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Roosenbrand, E.J. (author), Sun, Junzi (author), Hoekstra, J.M. (author)
Contrails contribute to global warming by trapping outgoing terrestrial radiation, exerting an immediate warming influence on the climate. The climatic impact of contrails is potentially comparable to that of aviation’s carbon emissions. This underlines the importance of minimizing contrail formation to mitigate the climate effects of aviation,...
conference paper 2023
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Sun, Junzi (author), Tassanbi, A. (author), Obojski, Piotrek (author), Plantholt, Philip (author)
The increasing demand for global air travel has intensified the urgency to mitigate aviation’s carbon emissions. Continuous monitoring of aircraft fuel efficiency and emissions has become an important task in aviation. One of the main challenges has been the lack of surveillance data for flights across oceans, specifically in the North Atlantic...
conference paper 2023
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Sun, W. (author), Katsifodimos, A (author), Hai, R. (author)
The rapid growth of large-scale machine learning (ML) models has led numerous commercial companies to utilize ML models for generating predictive results to help business decision-making. As two primary components in traditional predictive pipelines, data processing, and model predictions often operate in separate execution environments,...
conference paper 2023
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Van Schijndel, B. A.Strack (author), Sun, S. (author), de Visser, C.C. (author)
This paper presents a novel method for fast and robust detection of actuator failures on quadrotors. The proposed algorithm has very little model dependency. A Kalman estimator estimates a stochastic effectiveness factor for every actuator, using only onboard RPM, gyro and accelerometer measurements. Then, a hypothesis test identifies the...
conference paper 2023
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Olive, Xavier (author), Strohmeier, Martin (author), Sun, Junzi (author), Tresoldi, Giorgio (author)
Established in 2013, The OpenSky Network, a crowdsourced network of ADS-B receivers, has consistently collected surveillance data from equipped aircraft and made it available for science. Coverage has steadily improved, boasting more than 6000 registered sensors worldwide today. This platform has aided numerous researchers in publishing studies...
conference paper 2023
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de Vries, J.W. (author), Sun, M. (author), de Groot, N.M.S. (author), Hendriks, R.C. (author)
Estimating tissue conductivity parameters from electrograms (EGMs) could be an important tool for diagnosing and treating heart rhythm disorders such as atrial fibrillation (AF). One of these parameters is the fibre direction, often assumed to be known in conductivity estimation methods. In this paper, a novel method to estimate the fibre...
conference paper 2023
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Fu, Bin (author), Sun, B. (author), Guo, Hang (author), Yang, Tao (author), Fu, Wenxing (author)
The current study presents an online iterative adaptive dynamic programming approach to resolve the zero-sum game (ZSG) for nonlinear continuous-time (CT) systems containing a partially unknown dynamic. The Hamilton-Jacobian-Issacs (HJI) equation is solved along the state trajectory according to the value function approximation and the policy...
conference paper 2023
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Sun, B. (author), Mo, J. (author), Zhang, Hemin (author), van Zeijl, H.W. (author), van Driel, W.D. (author), Zhang, Kouchi (author)
The thermal-piezoresistive effect in silicon (Si) has attracted great attention toward high-performance resonant devices but still faces major challenges for harsh environment applications. Instead of using Si, this paper, for the first time, reports a thermal-piezoresistive resonator based on a silicon carbide-on-insulator (SiCOI) platform. The...
conference paper 2023
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Sun, W. (author), Katsifodimos, A (author), Hai, R. (author)
Recent advances in Graphic Processing Units (GPUs) have facilitated a significant performance boost for database operators, in particular, joins. It has been intensively studied how conventional join implementations, such as hash joins, benefit from the massive parallelism of GPUs. With the proliferation of machine learning, more databases...
conference paper 2023
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Hai, R. (author), Koutras, C. (author), Ionescu, A. (author), Li, Z. (author), Sun, W. (author), van Schijndel, Jessie (author), Kang, Yan (author), Katsifodimos, A (author)
Machine learning (ML) training data is often scattered across disparate collections of datasets, called data silos. This fragmentation poses a major challenge for data-intensive ML applications: integrating and transforming data residing in different sources demand a lot of manual work and computational resources. With data privacy and...
conference paper 2023
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Ma, Huidong (author), Zhong, Cheng (author), Sun, Hui (author), Chen, Danyang (author), Lin, H.X. (author)
The mobile element variant is a very important structural variant, accounting for a quarter of structural variants, and it is closely related to many issues such as genetic diseases and species diversity. However, few detection algorithms of mobile element variants have been developed on third-generation sequencing data. We propose an...
conference paper 2023
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YANG, X. (author), Sun, Junzi (author), Rajan, R.T. (author)
Automatic Dependent Surveillance - Broadcast (ADS-B) is a surveillance technology that is used extensively in Air Traffic Control (ATC) applications. Aircraft equipped with ADS-B transponders actively broadcast navigation information such as position, altitude, and velocity, and thus ATC is able to track aircraft continuously, even in regions...
conference paper 2022
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Vergnes, Florent (author), Bedouet, Judicaël (author), Olive, Xavier (author), Sun, Junzi (author)
Efforts to minimise the environmental impact of aviation can be implemented at several levels including electric green taxiing systems, novel propulsion systems, jet fuels, improvements in aircraft efficiency and optimisation of climb profiles. In this paper, we address the optimisation of flight plans in a route network considering operational...
conference paper 2022
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Roosenbrand, E.J. (author), Sun, Junzi (author), Dedoussi, I.C. (author), Stam, D.M. (author), Hoekstra, J.M. (author)
Sustainability is the biggest challenge facing the aerospace industry today. With the global number of flights expected to rise, the climate impact of aviation will continue to increase. Current research states that the rerouting of aircraft through wind-optimisation for the purpose of fuel usage minimisation and emission reduction is an...
conference paper 2022
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Sun, Junzi (author), Dijkstra, T.L.E. (author), Aristodemou, K. (author), Buzeţelu, V.S. (author), Falat, T. (author), Hogenelst, T.G. (author), Prins, N. (author), Slijper, B.C. (author)
In this paper, we propose open machine learning models that can provide airport delay predictions in a network with an error of around or less than five minutes. Due to the complexity of different components of air traffic networks, traditional flight performance model-based predictions fall short when dealing with numerous flights and often are...
conference paper 2022
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Sun, Junzi (author), Olive, Xavier (author), Delahaye, Daniel (author)
Inefficiencies in flight operations, like deviations and non-optimal flight speed or altitude, are directly linked to flight emission inefficiencies. Quantifying these emission inefficiencies and studying potential mitigation strategies is certainly beneficial for the sustainability of the aviation industry. In this paper, we analyze emission...
conference paper 2022
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Roosenbrand, E.J. (author), Sun, Junzi (author), Hoekstra, J.M. (author)
One of the biggest challenges facing the aerospace industry today is its sustainability. As the number of flights is expected to rise globally, aviation’s climate impact will continue to increase. Current research has extensively addressed the rerouting of aircraft through wind-optimization in order to minimize fuel burn and emissions. Such...
conference paper 2022
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Vlaskin, A. (author), Sun, Junzi (author), Hoekstra, J.M. (author)
The consumer drone sector is expected to grow rapidly in the coming decades. In Europe alone, some predictions show as many as seven million drones will be flying by 2050. This poses a challenge for surveillance. In this paper, we study an Automatic Dependent Surveillance system concept similar to the one for current aircraft surveillance, which...
conference paper 2022
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Sun, Jian (author), Wu, Y. (author), Soeiro, Thiago B. (author), Qin, Z. (author), Bauer, P. (author)
An efficient, compact and lightweight three-phase AC-DC power factor correction (PFC) converter becomes a necessity for electric vehicles (EVs) On-board chargers (OBCs) in conventional grid-to-vehicle (G2V) and vehicle-to-grid (V2G) charging methods. The commercially available OBCs have very limited power density despite the moderate efficiency...
conference paper 2022
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