Search our Publications
Latest Publications
Ahmad Rabay'a, Pascal Kudla, Lukas Kubitza, Kalman György Graffi, Michael Schöttner , "Reducing IoT Bandwidth Requirements by Fog-based Distributed Hash Tables", 4th Conference on Cloud and Internet of Things (CIoT) , pp. 1-8, 2020.
AbstractAbstract—Internet-of-Things (IoT) devices often rely on cloud services for computations and data management. As the number of IoT devices is growing fast, the Internet connection to the cloud data-center can be become a bottleneck regarding bandwidth and latency. Fog computing addresses this challenge by performing cloud services closer to the edge through a network of locally close 'cloudlets'. We propose a peer-to-peer (p2p) fog model allowing ...
Download Bibtex file
Ye Tian, Shichen Peng, Xingyi Zhang, Tobias Rodemann, Kay Chen Tan, Yaochu Jin , "A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks", IEEE Transactions on Artificial Intelligence , vol. 1, no. 1, pp. 5-18, 2020.
AbstractAs revealed by the no free lunch theorem, no single algorithm can outperform any others on all classes of optimization problems. To tackle this issue, methods for recommending an existing algorithm for solving given problems have been proposed. However, existing recommendation methods for continuous optimization suffer from low practicability and transferability, mainly due to the difficulty in extracting features that can effectively describe th...
Download Bibtex file
Felix Lanfermann, Sebastian Schmitt, Stefan Menzel , "An Effective Measure to Identify Meaningful Concepts in Engineering Design Optimization", IEEE Symposium Series on Computational Intelligence (SSCI), pp. 934-941, 2020.
AbstractIdentifying similar solutions during an engineering design process and organizing the design data set into several concepts has substantial benefits. A concept is an abstract representation of design solutions that share comparable properties and behavior. Inspecting such concepts facilitates an increase of knowledge about the structure of the design problem. Concepts also allow for the selection of archetypal representatives which can be use...
Download Bibtex file
Lars Kammann, Stefan Menzel, Mario Botsch , "A Compact Patch-Based Representation for Technical Mesh Models", Proceedings of Vision, Modeling and Visualization, 2020.
AbstractWe present a compact and intuitive geometry representation for technical models initially given as triangle meshes. For CAD-like models the defining features often coincide with the intersection between smooth surface patches. Our algorithm therefore first segments the input model into patches of constant curvature. The intersections between these patches are encoded through Bézier curves of adaptive degree, the patches enclosed by them are encod...
Download Bibtex file
Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt , "Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds", IEEE Symposium Series on Computational Intelligence (SSCI), 2020.
AbstractDuring each cycle of automotive development, large amounts of geometric data are generated as results of design studies and simulation tasks. Discovering hidden knowledge from this data and making it available to the development team strengthens the design process by utilizing historic information when creating novel products. To this end, we propose to use powerful geometric deep learning models that learn low- dimensional representation ...
Download Bibtex file
Christian Eilers, Robin Menzenbach, Fabio Muratore, Jan Peters , "Underactuated Trajectory-Tracking Control for Long-Exposure Photography", ICRA 2020- IEEE International Conference on Robotics and Automation, 2020.
AbstractTDB...
Download Bibtex file
Fabian Müller and Julian Eggert , "Time-Course Sensitive Collision Probability Model for Risk Estimation", Intelligent Transportation Systems Conference (ITSC), 2020.
AbstractAvoiding critical situations is a prerequisite for Advanced Driver Assistant Systems and Autonomous Driving (AD) to decrease the number of total hazards and fatal collisions. To guide safe motion behavior in complex scenarios, an appropriate risk measurement system which considers inherent uncertainties is essential. We present a time-course-aware risk model, which estimates collision risks based on the evolution of state distributions along fore...
Download Bibtex file
Thiago de Jesus de Araujo Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel , "Back To Meshes: Optimal Number Of Simulation Prototypes For Autoencoder-based 3D Car Point Clouds ", IEEE Symposium Series on Computational Intelligence (SSCI), 2020.
AbstractRecently, geometric deep learning algorithms have been introduced as successful methods for learning 3d-point cloud representations. Particularly, point cloud autoencoders allow for learning a low-dimensional set of latent variables that can perform as design parameters for shape generation and optimization. In engineering tasks, 3d-point clouds often derive from fine polygonal meshes, which are the most suitable representations for physics simul...
Download Bibtex file
Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel , "Evaluating RL Agents in Hanabi with Unseen Partners", AAAI Workshop on Reinforcement Learning in Games, 2020.
AbstractHanabi is a cooperative game that challenges existing AI techniques due to its focus on modeling the mental states of other players to interpret and predict their behavior. While there are agents that can achieve near-perfect scores in the game by agreeing on some shared strategy, comparatively little progress has been made in ad-hoc cooperation settings, where partners and strategies are not known in advance. In this paper, we show that agents t...
Download Bibtex file
Thomas Jatschka, Fabio F. Oberweger, Tobias Rodemann, Guenther Raidl , "Distributing Battery Swapping Stations for Electric Scooters in an Urban Area ", Optima (XI International Conference Optimization and Applications), pp. 150-165, 2020.
AbstractCharging the battery of an electric vehicle is usually a time-consuming process that hinders the large-scale adoption of such vehicles. A more time efficient approach is to build electric vehicles in which depleted batteries can be replaced with charged ones. While this battery swapping approach at least today is not a common option for electric cars due to standardization difficulties and the lack of the required expensive replacement infrastru...
Download Bibtex file
1 ... 69 70 71 72 73 74 ... 183
Follow us
