PUMA publications for /tag/Distributed%20distributedTue Dec 16 16:12:33 CET 202511Experimental Analysis of Voltage Distortion Caused by Distributed Energy Systems in a Low-Voltage Grid Node using Power-Hardware-in-the-Loop2025Analysis Caused Distortion Distributed Energy Experimental Grid Low-Voltage Node Power-Hardware-in-the-Loop Systems Voltage a by in of using Mon May 27 08:58:38 CEST 2024StuttgartISBN: 3519024942 Series: Leitfäden der angewandten InformatikSynchronisation in verteilten {Systemen}: {Problemstellung} und {Lösungsansätze} unter {Verwendung} von objektorientierten {Konzepten}Hochschulschrift1989(Computers). Distributed Electronic Operating Synchronisierung. System. Verteiltes data importzotero processing processing. systems Tue Apr 26 16:12:58 CEST 202225th International ITG Workshop on Smart Antennas (WSA 2021)A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning2021channel csi distributed mimo ml myown sounder A distributed massive MIMO channel sounder for acquiring large CSI datasets, dubbed DICHASUS, is presented. The measured data has potential applications in the study of different machine learning algorithms for user localization, JCAS, channel charting, enabling massive MIMO in FDD operation, and many others. The proposed channel sounder architecture is distinct from similar previous designs in that each individual single-antenna receiver is completely autonomous, enabling arbitrary grouping into spatially distributed antenna deployments, and offering virtually unlimited scalability in the number of antennas. Optionally, extracted channel coefficient vectors can be tagged with ground truth position data, obtained either through a GNSS receiver (for outdoor operation) or through various indoor positioning techniques.Tue Apr 26 16:12:58 CEST 202225th International ITG Workshop on Smart Antennas (WSA 2021)A Distributed Massive MIMO Channel Sounder for "Big CSI Data"-driven Machine Learning2021myown sounder from:sdnr distributed channel csi mimo ml A distributed massive MIMO channel sounder for acquiring large CSI datasets, dubbed DICHASUS, is presented. The measured data has potential applications in the study of different machine learning algorithms for user localization, JCAS, channel charting, enabling massive MIMO in FDD operation, and many others. The proposed channel sounder architecture is distinct from similar previous designs in that each individual single-antenna receiver is completely autonomous, enabling arbitrary grouping into spatially distributed antenna deployments, and offering virtually unlimited scalability in the number of antennas. Optionally, extracted channel coefficient vectors can be tagged with ground truth position data, obtained either through a GNSS receiver (for outdoor operation) or through various indoor positioning techniques.Tue May 18 15:32:40 CEST 2021Automatica368 - 379A distributed economic MPC framework for cooperative control under conflicting objectives962018Economic systems Distributed Collaborative predictive control, model from:ist_bib Tue May 18 15:30:24 CEST 2021Automatica368 - 379A distributed economic MPC framework for cooperative control under conflicting objectives962018Collaborative Distributed Economic control, model predictive systems Fri Nov 06 17:44:13 CET 2020Automatica368 - 379A distributed economic MPC framework for cooperative control under conflicting objectives962018Collaborative Distributed Economic control, model predictive systems unchecked Mon Sep 21 18:52:38 CEST 2020Automation in ConstructionDecember1201-17{Flexible and transportable robotic timber construction platform – TIM}2020ap2 architecture bd1 buga building distributed from:hansjakobwagner industry local manufacturing myown peer platform prefabrication production reconfigurable robotic rp4 sustainable timber This paper presents a new approach to robotic fabrication in the building industry through the conceptualization, development and evaluation of a largescale, transportable and flexible robotic timber construction platform – named TIM. Novel solutions are necessary to make robotic fabrication technologies more accessible for timber construction companies. The developed robotic system is location independent and reconfigurable. It can be rapidly integrated into existing fabrication environments of typical carpentries on a per-project basis. This allows the exploitation of emerging synergies between conventional craft and specialized automation technologies and benefits both quality and productivity of the trade. We portrait how the platform enabled the effective robotic prefabrication of a complex segmented wood shell structure and discuss the fabrication system based on critical performance parameters. Further research is needed to disentangle the mutual dependencies of building-systems and respective automation technologies.Fri Sep 18 10:39:38 CEST 2020Automation in ConstructionDecember1201-17{Flexible and transportable robotic timber construction platform – TIM}2020architecture buga building distributed industry local manufacturing; myown platform; prefabrication; production reconfigurable robotic sustainable timber This paper presents a new approach to robotic fabrication in the building industry through the conceptualization, development and evaluation of a largescale, transportable and flexible robotic timber construction platform – named TIM. Novel solutions are necessary to make robotic fabrication technologies more accessible for timber construction companies. The developed robotic system is location independent and reconfigurable. It can be rapidly integrated into existing fabrication environments of typical carpentries on a per-project basis. This allows the exploitation of emerging synergies between conventional craft and specialized automation technologies and benefits both quality and productivity of the trade. We portrait how the platform enabled the effective robotic prefabrication of a complex segmented wood shell structure and discuss the fabrication system based on critical performance parameters. Further research is needed to disentangle the mutual dependencies of building-systems and respective automation technologies.Mon Jun 29 14:42:29 CEST 2020Reduced Models for Operation Management of Distributed Generation2009Distributed Generation Management Operation Mon Jun 15 15:41:39 CEST 2020International Journal of Distributed Energy Resources4The RegModHarz Architecture – Facing the Challanges caused by Transformation to a Distributed Energy System72011Architecture Distributed Energy RegModHarz System Mon May 18 14:18:23 CEST 2020A new approach using load control to dampen interarea frequency oscillations2012control distributed frequency interarea load management modes oscillations power Wed May 13 14:11:07 CEST 2020Development of Generic Dynamic Models for Distributed Generators in Microgrids2013Distributed Dynamic Generators Generic Microgrids Models Wed May 13 14:03:47 CEST 2020Meter Placement for Low Voltage System State Estimation with Distributed Generation2013Distributed Estimation Generation Low Meter Placement State System Voltage Mon Apr 20 14:36:54 CEST 2020IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITYjun3311-321Radiated Emissions of an Electric Drive System Estimated on a Bench Using Disturbance Currents and Transfer FunctionsArticle572015(HV) 25 Bench CISPR Currents Disturbance Drive Electric Emissions Estimated Functionssend:unibiblio Radiated Systemautomotive Transfer Using a an and distributed drive electric emission estimation function high-voltage inverter of on power precompliance radiated system transfer Fri Aug 16 14:00:44 CEST 2019ChamMetadata and Semantic Research846127-132Communications in Computer and Information ScienceThe Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering2019data distributed hpc metadata myown simulation In computational engineering, numerical simulations produce huge amounts of data. To keep this research data findable, accessible, inter-operable and reusable, a structured description of the data is indispensable. This paper outlines the genesis of EngMeta – a metadata model designed to describe engineering simulation data with a focus on thermodynamics and aerodynamics. The metadata model, developed in close collaboration with engineers, is based on existing standards and adds discipline-specific information as the main contribution. Characteristics of the observed system offer researchers important search criteria. Information on the hardware and software used and the processing steps involved helps to understand and replicate the data. Such metadata are crucial to keeping the data FAIR and bridging the gap to a sustainable research data management in computational engineering.Fri Aug 16 13:59:28 CEST 2019Philosophy & TechnologymarDark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer2019data distributed hpc myown simulation 13Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing (HPC) facilities. To this end, we provide statistics of a major HPC facility in Europe, the High-Performance Computing Center Stuttgart (HLRS). We also propose a new position tailor-made for coping with dark data and general data management. We call it the scientific data officer (SDO) and we distinguish it from other standard positions in HPC facilities such as chief data officers, system administrators, and security officers. In order to understand the role of the SDO in HPC facilities, we discuss two kinds of responsibilities, namely, technical responsibilities and ethical responsibilities. While the former are intended to characterize the position, the latter raise concerns---and proposes solutions---to the control and authority that the SDO would acquire.Mon Feb 11 14:36:30 CET 2019Proceedings of International Conference on Computers & Industrial Engineering (CIE 48)Axis-in-the-loop simulation: a concept to transfer verfication and validation of distributed interpolation algorithms from simulation to interaction with commercial motion control hardware2018distributed interpolation myown xde Tue Jun 26 09:10:42 CEST 2018IEEE Cloud Computingnov676-83Osmotic Computing: A New Paradigm for Edge/Cloud Integration32016IoT cloud computing distributed edge-cloud soc2018 system transfer Mon Mar 26 13:35:50 CEST 2018Tagungsband des 3. Kongresses Montage Handhabung IndustrieroboterConcept of Distributed Interpolation for Skill-Based Manufacturing with Real-Time Communication2018communication distributed distributedInterpolation interpolation myown xde Distributed distributedCommunity for tag(s) Distributed distributed