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Kraakman, Frank (author)
The state-of-the-art teleimpedance command interfaces used to command the robot stiffness configuration are either too complex to set up, such as those that use physiological signals and other tracking methods or cannot configure the stiffness appropriately for 3d environments.<br/>To mitigate these issues, a novel teleimpedance interface is...
master thesis 2024
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Lee, Y. (author)
E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning...
doctoral thesis 2024
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Trip, Kenrick (author)
With the introduction of autonomous vehicles on public roads, their performance in emergency situations has become a strong focus. Collision Imminent Control (CIC) concerns the planning and control of aggressive evasive maneuvers for collision avoidance of automated vehicles. CIC is implemented using adaptive Nonlinear Model Predictive Control ...
master thesis 2024
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Skoulas, Vasileios (author)
Long truck queues and congestion around terminals is a common sight, however they come with many negative externalities for all the stakeholders involved. Truck Appointment System (TAS) is the most commonly used system to face these problems, but it still has some drawbacks and limitations. Consequently, in this research an extension of the...
master thesis 2024
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Katona, Misha (author)
Through several contractions, stiff competition, and increasing passenger expectations, airports must evolve continually. One of the main avenues for this has been improving the efficiency of the security check- points, which are airports’ primary bottlenecks. Operational optimisation methods, such as resource and task scheduling are relatively...
master thesis 2024
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Versteeg, Rogier (author), Pool, D.M. (author), Mulder, Max (author)
This article discusses a long short-term memory (LSTM) recurrent neural network that uses raw time-domain data obtained in compensatory tracking tasks as input features for classifying (the adaptation of) human manual control with single- and double-integrator controlled element dynamics. Data from two different experiments were used to train...
journal article 2024
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Yu, Y. (author), De Herdt, Lode (author), Shekhar, A. (author), Chandra Mouli, G.R. (author), Bauer, P. (author)
The rising demand for electric vehicles (EVs) in the face of limited grid capacity encourages the development and implementation of smart charging (SC) algorithms. Experimental validation plays a pivotal role in advancing this field. This article formulates a hierarchical mixed integer programming EV SC algorithm designed for low voltage (LV)...
journal article 2024
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Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
Drivers initiate a discretionary lane change when they perceive an anticipated improvement in their own driving condition from moving to another lane. However, such a lane change can slow down other vehicles on the target lane, and even worse initiate a disturbance. In this work, we argue that the blocking effect triggered by individual lane...
journal article 2024
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Zheng, Y. (author), Shyrokau, B. (author), Keviczky, T. (author)
The acceptance of automated driving is under the potential threat of motion sickness. It hinders the passengers' willingness to perform secondary activities. In order to mitigate motion sickness in automated vehicles, we propose an optimization-based motion planning algorithm that minimizes the distribution of acceleration energy within the...
journal article 2024
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Xu, Ying (author), Casalino, D. (author), Zhang, Xiao Zheng (author), Zhang, Yong Bin (author), Bi, Chuan Xing (author)
A time-domain inverse aeroacoustic method based on the convective Ffowcs Williams–Hawkings equation is presented. The method allows to determine, in real-time, the unsteady forces exerted on rotating blades in the presence of a moving medium. The inversion procedure is based on a space-time regularization with a mixed l1,2-norm, which guarantees...
journal article 2024
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Christodoulou, Anthony G. (author), Cruz, Gastao (author), Arami, A. (author), Weingärtner, S.D. (author), Artico, Jessica (author), Peters, Dana (author), Seiberlich, Nicole (author)
Cardiovascular magnetic resonance (CMR) protocols can be lengthy and complex, which has driven the research community to develop new technologies to make these protocols more efficient and patient-friendly. Two different approaches to improving CMR have been proposed, specifically “all-in-one” CMR, where several contrasts and/or motion states...
review 2024
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van Droffelaar, I.S. (author), Kwakkel, J.H. (author), Mense, Jelte P. (author), Verbraeck, A. (author)
Simulation–optimization models are well-suited for real-time decision-support to the control room for search and interception of fugitives by Police on a road network, due to their ability to encode complex behavior while still optimizing the interception. The typical simulation–optimization configuration is simulation model optimization,...
journal article 2024
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Dashtabi, Mahdi Mozdoor (author), Khoshmehr, Mohammad Talebi (author), Nikbakht, Hamed (author), Lopez Rodriguez, B. (author), Sharma, N. (author), Esmaeil Zadeh, I.Z. (author), Akca, B. Imran (author)
Photonic integrated circuits (PICs) are enabling breakthroughs in several areas, including quantum computing, neuromorphic processors, wearable devices, and more. Nevertheless, existing PIC measurement methods lack the spectral precision, speed, and sensitivity required for refining current applications and exploring new frontiers such as...
journal article 2024
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Kashifi, M.T.K. (author)
Road traffic crash is a global tragedy that leads to economic loss, injury, and fatalities. Understanding the severity of a road crash at the early stages is vital to timely providing emergency medical services to crash victims. This study developed a crash emergency response management framework that requires basic crash information for...
journal article 2024
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Roşiu, Cristian (author)
Rendering accurate water reflections is crucial for achieving realism in computer graphics. Their integration with VR and AR technologies can further elevate experiences in sectors like education, engineering, and medicine. Even though various monoscopic reflection techniques exist they either demand substantial computational resources or cannot...
master thesis 2023
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Warringa, Bob (author)
Modern manufacturing operations rely on accurate, real time data for efficient operation and control of the production process. Many small and medium sized enterprises (SMEs) still operate with legacy assets, limiting their access to a clear data picture. This thesis research and its design solutions help SMEs gain real time insights into their...
master thesis 2023
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Lock, Niels (author)
To utilize electronic power converters for water electrolysis in industrial electrical networks, reliable testing methods are required to ensure safe control operation as malfunctions can instigate hydrogen explosion and fierce electrical hazards. In this thesis, Digital Twin modeling via OPAL-RT software and hardware is compared to Simulink and...
master thesis 2023
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van Hooff, Owen (author)
The electrical power system is a critical infrastructure that provides a reliable energy supply for daily businesses. Designing resilient and reliable power grids is of paramount importance to prevent blackouts and their adverse economic impact on society.<br/><br/>Resiliency is fundamentally defined as the ability of a system to respond to high...
master thesis 2023
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Liu, Qingxin (author)
Most injuries in football occur in the lower extremities due to high muscle stress. To prevent such injuries, the Dutch Football Association (KNVB) and the Delft University of Technology developed the Smart Sensor Shorts, an inertial sensor-based tracking system measuring the athlete’s lower body kinematics, to improve physical load estimates...
master thesis 2023
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Kamat Tarcar, Rohan (author)
Integrating renewable offshore wind generation into global power grids is a critical issue in the energy industry. Modular Multilevel Converter (MMC)-based High Voltage Direct Current (HVDC) grids are the most effective and promising technical solution for the new offshore wind energy power system connections. These grids offer scalability,...
master thesis 2023
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