Searched for: subject%3A%22Sensor%255C+data%22
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Wu, C.L. (author), Wagterveld, R. M. (author), van Breukelen, B.M. (author)
Petroleum products have contaminated groundwater with harmful organic compounds, such as benzene, toluene, ethylbenzene, and xylenes (BTEX). Collecting and analyzing polluted groundwater samples is expensive and undertaken infrequently. However, quick remedial action in case of unexpected events requires continuous monitoring. In-situ water...
journal article 2024
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Kurteva, Anelia (author), Chhetri, Tek Raj (author), Tauqeer, Amar (author), Hilscher, Rainer (author), Fensel, Anna (author), Nagorny, Kevin (author), Correia, Ana (author), Zilverberg, Albert (author), Schstakov, Stefan (author)
The adoption of the General Data Protection Regulation (GDPR) has resulted in a significant shift in how the data of European Union citizens is handled. A variety of data sharing challenges in scenarios such as smart cities have arisen, especially when attempting to semantically represent GDPR legal bases, such as consent, contracts and the...
journal article 2023
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Pandharipande, Ashish (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Gurbuz, Sevgi Z. (author), Ibanez-Guzman, Javier (author), Li, Guofa (author), Piazzoni, Andrea (author), Wang, Pu (author), Santra, Avik (author)
Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...
journal article 2023
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Stone, Emilie (author), Giani, Stefano (author), Zappalá, D. (author), Crabtree, C.J. (author)
Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight convolutional neural network (CNN) framework using high-dimensional raw condition monitoring data for the automatic...
journal article 2023
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Domhof, J.F.M. (author)
The aim of the thesis is to develop methods and algorithms for the development of a robust perception system that is capable of dealing with adverse weather conditions. Robust environmental perception is important in order to guarantee safety for the automated vehicle and the road users in the neighborhood. To create a robust perception system,...
doctoral thesis 2022
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Jansen, Steven (author)
Current indicators for measuring traffic safety such as fatalities and severe injuries are lagging indicators, meaning that an accident first needs to happen before it can be measured. With the rise of automation in vehicles, the opportunity may arise to measure leading indicators. These can proactively measure traffic safety by measuring...
master thesis 2022
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Lourenço Baptista, M. (author), Elsa, Elsa M. (author), Goebel, Kai (author)
When the influence of changing operational and environmental conditions, such as temperature and external loading, is not factored out from sensor data it can be difficult to observe a clear deterioration path. This can significantly affect the task of engineering prognostics and other health management operations. To address this problem of...
journal article 2021
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Niu, Y. (author), Schulte, F. (author)
Human aspects in collaboration of humans and robots, as common in warehousing, are considered increasingly important objectives in operations management. In this work, we let robots learn about human stress levels based on sensor data in collaborative order picking of robotic mobile fulfillment systems. To this end, we develop a multi-agent...
conference paper 2021
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Anindya Paramaarti, Anindya (author)
This report is the result of a master thesis project that finalizes 2 years of Strategic Product Design master program at the Industrial Design Engineering faculty. The project is about designing a data-informed clinical care process for Transcatheter Aortic Valve Implantation (TAVI) patient. Transcatheter Aortic Valve Implantation (TAVI) is a...
master thesis 2020
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Sulayman, Lezma (author)
Motivation. As technological developments in the workplace accelerate, workplaces are connecting to a variety of sensors, actuators, and dedicated networks in the Internet of Things (IoT). Sensor data can be collected on aspects of workplace performance and occupants’ behaviors. While the performance of the workplace is evaluated, the validation...
master thesis 2020
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Psyllidis, A. (author)
book chapter 2020
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Duives, D.C. (author), van Oijen, T.P. (author), Hoogendoorn, S.P. (author)
Crowd monitoring systems (CMSs) provide a state-of-the-art solution to manage crowds objectively. Most crowd monitoring systems feature one type of sensor, which severely limits the insights one can simultaneously gather regarding the crowd’s traffic state. Incorporating multiple functionally complementary sensor types is expensive. CMSs are...
journal article 2020
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Seel, Thomas (author), Kok, M. (author), McGinnis, Ryan S. (author)
This editorial provides a concise introduction to the methods and applications of inertial sensors. We briefly describe the main characteristics of inertial sensors and highlight the broad range of applications as well as the methodological challenges. Finally, for the reader’s guidance, we give a succinct overview of the papers included in...
contribution to periodical 2020
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Papadimitriou, E. (author), Argyropoulou, Anastasia (author), Tselentis, Dimitrios I. (author), Yannis, George (author)
The aim of this paper is to explore driving behaviour during mobile phone use on the basis of detailed driving analytics collected by smartphone sensors. The data came from a sample of one hundred drivers (18,850 trips) during a naturalistic driving experiment over four months. A specially developed smartphone application was used, through...
journal article 2019
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Rao, Shashank (author)
Sleep is a natural state of our mind and body during which our muscles heal and our memories are consolidated. It is such a habitual phenomenon that we have been viewing it as another ordinary task in our day-to-day life. However, owing to the current fast-paced, technology-driven generation, we are letting ourselves be sleep-deprived, giving...
master thesis 2018
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Angelova, Lilia (author), Flikweert, P.L.M. (author), Karydakis, Panagiotis (author), Kersbergen, Daniël (author), Teeuwen, Roos (author), Valečkaitė, K. (author), Verbree, E. (author), Meijers, B.M. (author), van der Spek, S.C. (author)
Along with the rise of the smart city movement, Internet of Things is an upcoming phenomenon. Objects and devices are becoming more and more wirelessly interconnected, communicating information between themselves and to human beings. As an addition to static sensor networks that gather real-time environmental data, the feasibility of...
conference paper 2018
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Desta, F.S. (author), Buxton, M.W.N. (author), van der Werff, Harald (author), Dalm, M. (author)
Sensors are being used as laboratory and in-situ techniques for characterization and definition of raw material properties. However, application of sensor technologies for underground mining resource extraction is very limited and highly dependent on the geological and operational environment. In our study the potential of RGB imaging, Fourier...
abstract 2018
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Xie, X. (author), van Lint, J.W.C. (author), Verbraeck, A. (author)
With trajectory data, a complete microscopic and macroscopic picture of traffic flow operations can be obtained. However, trajectory data are difficult to observe over large spatiotemporal regions—particularly in urban contexts—due to practical, technical and financial constraints. The next best thing is to estimate plausible trajectories from...
journal article 2018
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Desta, F.S. (author), Buxton, M.W.N. (author)
The use of sensor technologies for material characterization is rapidly growing and innovative advancement is observed. However, the use of sensor combinations for a raw material characterization in mining is very limited and automation of the material identification process using a combined sensor signal is not defined. Potential sensor...
conference paper 2018
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Yuksel-Pelk, C. (author)
In mining, modelling of the deposit geology is the basis for many actions to be taken in the future, such as predictions of quality attributes, mineral resources and ore reserves, as well as mine design and long-term production planning. The essential knowledge about the raw materialproduct is based on this model-based prediction, which comes...
doctoral thesis 2017
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