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A Qualitative Comparison of Power Law Generators

Martin Hernandez, J. (author), Kleiberg, T. (author), Wang, H. (author), Van Mieghem, P. (author)

conference paper 2007

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Optimal lane change times and accelerations of autonomous and connected vehicles

Wang, M. (author), Hoogendoorn, S.P. (author), Daamen, W. (author), van Arem, B. (author), Happee, R. (author)

This contribution puts forward a flexible approach to model the decision-making or design controller for automated driving systems, where tactical-level lane change decisions and control-level accelerations are jointly evaluated based on iteratively solving an online optimization problem. The key idea is that automated vehicles determine lane...

conference paper 2016

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Loosely coupled level sets for retinal layers and drusen segmentation in subjects with dry age-related macular degeneration

Novosel, J. (author), Wang, Ziyuan (author), de Jong, Henk (author), Vermeer, K.A. (author), van Vliet, L.J. (author)

Optical coherence tomography (OCT) is used to produce high-resolution three-dimensional images of the retina, which permit the investigation of retinal irregularities. In dry age-related macular degeneration (AMD), a chronic eye disease that causes central vision loss, disruptions such as drusen and changes in retinal layer thicknesses occur...

conference paper 2016

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Study on route division for ship energy efficiency optimization based on big environment data

Wang, K. (author), Yan, Xinping (author), Yuan, Yupeng (author), Jiang, X. (author), Lodewijks, G. (author), Negenborn, R.R. (author)

In the case of the global energy crisis and the higher sound of energy saving and emission reduction, how to take effective management measures of ship energy efficiency to achieve the goal of energy saving and emission reduction, put forward a new challenge for the development of shipping technology. The application of big data technology...

conference paper 2017

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Controller Placement with Respect to Controller Reachability

Xu, Ran (author), Wang, F. (author), Kooij, Robert (author)

In this paper we investigate the controller placement problem on networks using controller reachability as the network performance metric. This metric is defined as the probability that each node can reach at least one controller, given that each link is operational with a fixed probability. By exploring placements for more than 100 real-world...

conference paper 2023

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EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources

Han, Rui (author), Wen, Shilin (author), Liu, Chi Harold (author), Yuan, Ye (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...

conference paper 2022

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Path planning for first responders in the presence of moving obstacles

Wang, Z. (author)

Navigation services have gained much importance for all kinds of human activities ranging from tourist navigation to support of rescue teams in disaster management. However, despite the considerable amount of route guidance research that has been performed, many issues that are related to navigation for first responders still need to be...

doctoral thesis 2015

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Light Dosage Optimization by Data-driven and Dynamic Modeling: in Blue Light Therapies

Wang, T. (author)

The therapeutic properties of light have been known for thousands of years, but photodynamic therapy (PDT) was only developed in the last century. Currently, PDT is in clinical trials for the oncology-the treatment of head and neck, brain, lung, pancreas, abdominal cavity, breast, prostate, and skin cancer. Advantages of the light-based...

doctoral thesis 2022

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Train Trajectory Optimization Methods for Energy-Efficient Railway Operations

Wang, P. (author)

Even though rail is more energy efficient than most other transport modes, the enhancement of energy efficiency is an important issue for railways to reduce their contributions to climate change further as well as to save costs and enlarge competition advantages involved. This thesis is motivated by the challenges in improving energy efficiency...

doctoral thesis 2017

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Viscoplasticity for instabilities due to strain softening and strain-rate softening

Wang, W.M. (author), Sluys, L.J. (author), De Borst, R. (author)

journal article 1997

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A data model for route planning in the case of forest fires

Wang, Z. (author), Zlatanova, S. (author), Moreno, A. (author), Van Oosterom, P.J.M. (author), Toro, C. (author)

The ability to guide relief vehicles to safety and quickly pass through environments affected by fires is critical in fighting forest fires. In this paper, we focus on route determination in the case of forest fires, and propose a data model that supports finding paths among moving obstacles. This data model captures both static information,...

journal article 2013

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Temporal Network Prediction and Interpretation

Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)

Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...

journal article 2022

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Distributed Actor-Critic Algorithms for Multiagent Reinforcement Learning Over Directed Graphs

Dai, Pengcheng (author), Yu, Wenwu (author), Wang, He (author), Baldi, S. (author)

Actor-critic (AC) cooperative multiagent reinforcement learning (MARL) over directed graphs is studied in this article. The goal of the agents in MARL is to maximize the globally averaged return in a distributed way, i.e., each agent can only exchange information with its neighboring agents. AC methods proposed in the literature require the...

journal article 2023

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Black-Box Online Aerodynamic Performance Optimization for a Seamless Wing with Distributed Morphing

Ruland, Oscar (author), Mkhoyan, T. (author), De Breuker, R. (author), Wang, Xuerui (author)

journal article 2023

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Mixed-Integer Nonlinear Programming for Energy-Efficient Container Handling: Formulation and Customized Genetic Algorithm

Xin, J. (author), Meng, Chuang (author), D'Ariano, Andrea (author), Wang, Dongshu (author), Negenborn, R.R. (author)

Energy consumption is expected to be reduced while maintaining high productivity for container handling. This paper investigates a new energy-efficient scheduling problem of automated container terminals, in which quay cranes (QCs) and lift automated guided vehicles (AGVs) cooperate to handle inbound and outbound containers. In our scheduling...

journal article 2022

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Degradation modeling considering unit-to-unit heterogeneity-A general model and comparative study

Wang, Zhijie (author), Zhai, Qingqing (author), Chen, P. (author)

The performance of units in the same batch can exhibit considerable heterogeneity due to the variation in the raw materials and fluctuation in the manufacturing process. For products suffering performance degradation in their use, such heterogeneity often results in an increase in the dispersion of the degradation paths of units in a...

journal article 2021

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Ship docking and undocking control with adaptive-mutation beetle swarm prediction algorithm

Wang, Le (author), Li, Shijie (author), Liu, Jialun (author), Wu, Qing (author), Negenborn, R.R. (author)

Autonomous docking and undocking control is an important part of intelligent ship motion control. In this study, the adaptive-mutation beetle swarm prediction (AMBS-P) algorithm is used to propose a control approach for autonomous docking and undocking. Firstly, this paper introduces the principle of the AMBS-P algorithm, then the convergence...

journal article 2022

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Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling

Song, Yanjie (author), Ou, Junwei (author), Pedrycz, Witold (author), Suganthan, Ponnuthurai Nagaratnam (author), Wang, X. (author), Xing, Lining (author), Zhang, Yue (author)

Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) satellites, and electromagnetic satellites, has become an important direction in integrated satellite applications due to its ability to cope with various complex situations. In the multitype satellite observation scheduling problem ...

journal article 2024

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A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data

Wang, Kai (author), Hua, Yu (author), Huang, Lianzhong (author), Guo, Xin (author), Liu, Xing (author), Ma, Zhongmin (author), Ma, Ranqi (author), Jiang, X. (author)

Optimization of ship energy efficiency is an efficient measure to decrease fuel usage and emissions in the shipping industry. The accurate prediction model of ship energy usage is the basis to achieve optimization of ship energy efficiency. This study investigates the sequential properties of the actual voyage data from a VLOC. On this basis,...

journal article 2023

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Path Planning for First Responders in the Presence of Moving Obstacles With Uncertain Boundaries

Wang, Z. (author), Zlatanova, S. (author), van Oosterom, P.J.M. (author)

In this paper, we study path planning for first responders in the presence of uncertain moving obstacles. To support the path planning, in our research we use hazard simulation to provide the predicted information of moving obstacles. A major problem in using hazard simulation is that the simulation results may involve uncertainty due to...

journal article 2017