A5101595672- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Service-Oriented Architecture and Web Services
- Mobile Ad Hoc Networks
- Caching and Content Delivery
- Advanced Database Systems and Queries
- Indoor and Outdoor Localization Technologies
- Molecular Communication and Nanonetworks
- Peer-to-Peer Network Technologies
- Vehicular Ad Hoc Networks (VANETs)
- Context-Aware Activity Recognition Systems
- Semantic Web and Ontologies
- Wireless Body Area Networks
- Modular Robots and Swarm Intelligence
- Security in Wireless Sensor Networks
- Business Process Modeling and Analysis
- IoT and Edge/Fog Computing
- Advanced biosensing and bioanalysis techniques
- Advanced Software Engineering Methodologies
- Data Management and Algorithms
- Mobile Agent-Based Network Management
- Software System Performance and Reliability
- Distributed and Parallel Computing Systems
- Energy Harvesting in Wireless Networks
- Network Traffic and Congestion Control
Institute for Telematics
2005-2024
Software Competence Center Hagenberg (Austria)
2023-2024
University of Lübeck
2015-2024
University Hospital Münster
2024
Klinikum Rheine
2024
Friedrich-Alexander-Universität Erlangen-Nürnberg
2023
Comprehensive Cancer Center Erlangen
2023
Technische Hochschule Augsburg
2005-2023
Universitätsklinikum Erlangen
2023
Saarland University
2017
Practicing a motor skill triggers process of memory consolidation that continues for hours after practice has ended, and becomes manifest in an improved at later testing. We used sequential task (finger-to-thumb opposition task) to show that, humans, the formation memories essentially benefits from sleep. Independent whether placed during daytime or nighttime, sleep enhanced speed sequence performance on average by 33.5% reduced error rate 30.1% as compared with corresponding intervals...
Vehicular Ad-Hoc Networks (VANETs) enable communication among vehicles as well between and roadside infrastructures. Currently available software tools for VANET research still lack the ability to asses usability of vehicular applications. In this article, we present <u>Tra</u>ffic <u>C</u>ontrol <u>I</u>nterface (TraCI) a technique interlinking road traffic network simulators. It permits us control behavior during simulation runtime, consequently better understand influence applications on patterns.
Learning a motor skill involves latent process of consolidation that develops after training to enhance the in absence any practice and crucially depends on sleep. Here, we show this during sleep changes brain representation by reducing overall neocortical contributions representation. Functional magnetic resonance imaging was performed initial 48 h later, at retesting, sequential finger movement task with followed either night regular or deprivation. An additional for all subjects served...
Elastic graph matching has been proposed as a practical implementation of dynamic link matching, which is neural network with dynamically evolving links between reference model and an input image. Each node the contains features that characterize neighborhood its location in The elastic usually consists two consecutive steps, namely rigid grid, followed by deformation actually part. step introduced order to allow for some deformation, rotation, scaling object be matched. This method applied...
Abstract There is evidence that sleep supports the enhancement of implicit as well explicit memories (i.e., two memory systems during learning normally appear to act together). Here, employing a serial reaction time task (SRTT) paradigm, we examined question whether can provide knowledge on an implicitly acquired skill. At learning, young healthy subjects (n = 20) were first trained SRTT. Then, was assessed test blocks, in which grammatically incorrect target positions occasionally...
We present a new framework for the crucial challenge of self-organization large sensor network. The basic scenario can be described as follows: Given swarm immobile nodes that have been scattered in polygonal region, such street Nodes no knowledge size or shape environment position other nodes. Moreover, they way measuring coordinates, geometric distances to nodes, their direction. Their only interacting with is send receive messages from any node within communication range. objective...
Named Data Networking (NDN) is a promising Information-Centric future Internet architecture. Besides its recognized potentialities as content retrieval solution in wired domains, NDN has been also recently considered an enabling technology for the of Things (IoT), thanks to innovative features like named-based routing and in-network caching. In particular, possibility caching at intermediate nodes can be especially useful reduce delay, limit network traffic load on data producer. However,...
Virtual testbeds model them by seamlessly integrating physical, simulated, and emulated sensor nodes radios in real time.
Deep learning-based head and neck lymph node level (HN_LNL) autodelineation is of high relevance to radiotherapy research clinical treatment planning but still underinvestigated in academic literature. In particular, there no publicly available open-source solution for large-scale autosegmentation HN_LNL the setting.An expert-delineated cohort 35 CTs was used training an nnU-net 3D-fullres/2D-ensemble model 20 different HN_LNL. A second acquired at same institution later time served as test...
We present a new framework for the crucial challenge of self-organization large sensor network. The basic scenario can be described as follows: Given swarm immobile nodes that have been scattered in polygonal region, such street Nodes no knowledge size or shape environment position other nodes. Moreover, they way measuring coordinates, geometric distances to nodes, their direction. Their only interacting with is send receive messages from any node within communication range. objective...
In this work-in-progress report we present the general outline of a research project which aims at providing proxy support for networked computer games. The problems both client-server and fully replicated architectures are discussed reason that employing technology, has been successfully used other applications, is advantageous class applications as well. particular describe how system games can help with congestion control, achieving robustness, minimizing impact network delay fairness.
In this paper we present a modular and extensible visualization framework for wireless sensor networks. These networks have typically no means of visualizing their internal state, readings or computational results. Visualization is therefore key issue to develop operate these Data emitted by individual nodes collected gateway software running on machine in the network. It then passed via TCP/IP potentially remote machine. plug-ins can register different data types, visualize information...
We consider the simulation of wireless sensor networks (WSN) using a new approach. present Shawn, an open-source discrete-event simulator that has considerable differences to all other existing simulators. Shawn is very powerful in simulating large scale with abstract point view. It is, best our knowledge, first support generic high-level algorithms as well distributed protocols on exactly same underlying networks.
Shawn is a discrete event simulator for sensor networks. Due to its high customizability, it extremely fast but can be tuned any accuracy that required by the simulation or application.
Current surveys and forecast predict that the number of wireless devices is going to increase tremendously. These can be computers all kinds, notebooks, netbooks, Smartphones sensor nodes evolve into real-world scenarios forming a "Real-World-Internet" in future. In our work we focus on Future Internet with small battery driven "Internet Things". recent networking research, testbeds gain more attention, especially context networks (WSNs). This development stems from fact simulations even...
Abstract The prediction of a ligand binding constant requires generating three‐dimensional structures the complex concerned and reliably scoring these structures. Here, problem is investigated by examining benzamidine‐like inhibitors trypsin, system for which errors in are small. Precise consistent free energies determined experimentally this test system. To examine possible improvement methods, we suitability continuum electrostatics to account solvation effects use an ideal‐gas entropy...
Protocols and applications that rely on unicast multicast communication are well accepted still gain more popularity. However, these paradigms not optimal for a class of wireless where partners neither establish specific relationships nor need roles like client server between each other before data exchange. Applications we have in mind deal with up to several thousands peers as autonomous network nodes. Nodes communicate events traffic accidents local region or information common interest...