Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing

This file was created by the TYPO3 extension publications --- Timezone: CEST Creation date: 2026-07-17 Creation time: 15:26:53 --- Number of references 8 conference Toma:2019 Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing 2019 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) Publikation t3://file?uid=2448 Anas Toma Juri Wenner Jan Eric Lenssen Jian-Jia Chen article Deuse:2019 Automatic generation of methods-time measurement analyses for assembly tasks from motion capture data using convolutional neuronal networks - A proof of concept 2019 Advances in Human Factors and Systems Interaction (AHFE 2019), Advances in Intelligent Systems and Computing 959 141-150 Publikation Jochen Deuse Lukas Stankiewicz Ronny Zwinkau Frank Weichert article Yayla:2019 Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms 2019 doi.org/10.3390/s19194138 Sensors, Special Issue Surface Plasmon Resonance (SPR)-Based Sensors and Their Biological Applications 19 1-15 Publikation t3://file?uid=2454 Mikail Yayla Anas Toma Kuan-Hsun Chen Jan Eric Lenssen Victoria Shpacovitch Roland Hergenröder Frank Weichert Jian-Jia Chen article Yayla:2019a Resource-efficient Nanoparticle Classification Using Frequency Domain Analysis 2019 Bildverarbeitung für die Medizin 339-344 Publikation t3://file?uid=2450 Mikail Yayla Anas Toma Jan Eric Lenssen Jian-Jia Chen Frank Weichert Kuan-Hsun Chen article Lenssen:2018 Real-Time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks 2018 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) 4 (BIOSIGNALS) 36-47 Publikation t3://file?uid=2449 Jan Eric Lenssen Anas Toma Albert Seebold Victoria Shpacovitch Pascal Libuschewski Frank Weichert Jian-Jia Chen Roland Hergenröder conference Toma:2018 Saving Energy for Cloud Applications in Mobile Devices using Nearby Resources In this paper, we present a middleware to save energy in mobile computing devices that offload tasks to a remote server in the cloud. Saving energy in these devices is very important to prolong the battery life and avoid overheating. The middleware uses an available nearby device called auxiliary server either as a surrogate for the remote one, or as a proxy to pass the data between the mobile device and the remote server. The main idea is to reduce the energy consumption of the communication with the remote server by using a high-speed or a low-power local connection with the auxiliary server instead. The paper also analyzes when it is beneficial to use the auxiliary server based on the response time from the remote server and the bandwidth of the remote connection. The proposed middleware is evaluated using different benchmarks, including commonly used applications in mobile devices, and simulations. Furthermore, it is compared to state-of-the art approaches in this area. The experiments show that The middleware is energy-efficient especially when the bandwidth of the remote communication is relatively low or the server is overloaded. 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) Publikation t3://file?uid=2456 Anas Toma Alexander Starinow Jan Eric Lenssen Jian-Jia Chen conference Kerdels:2007 A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces 2007 September 9-13 International Conference on Artificial Neural Networks (ICANN 2007) Publikation Jochen Kerdels Gabriele Peters article Peters:2007b Image Segmentation Based on Height Maps 2007 12th International Conference on Computer Analysis of Images and Patterns (CAIP 2007), Vienna, Austria 27-29 Publikation Gabriele Peters Jochen Kerdels