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Heutige Architekturen von PLM-Lösungen sind überwiegend Client-Server orientiert. Mittelfristig wird sich hier eine offene, flexible-Architektur wie Service-orientierte Architekturen (SOA) durchsetzen. Dabei werden die PLM-Funktionen als Services zur Ausführung prozessrelevanter Tätigkeiten angeboten. Daraus ergibt sich ein service-basierter Ansatz für das PLM. Die Kombination von PLM und SOA kann so Unternehmen helfen, ihre bestehenden Infrastrukturen im Laufe der Zeit schrittweise aufzubauen.
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Um die mit dienstorientierten Architekturen verknüpften Ziele wie bspw. eine höhere Flexibilität erreichen zu können, wird von Diensten die Einhaltung bestimmter Qualitätseigenschaften wie bspw. loser Kopplung oder Autonomie gefordert. Die Arbeit zeigt daher ein systematisches Vorgehen für einen Entwurf von Diensten, das durch Bestimmung formalisierter Qualitätseigenschaften und gezielter Überarbeitung in Dienstentwürfen mit gewünschten Qualitätseigenschaften resultiert.
SoaML --- Serviceorientierte Architektur --- SOA --- Qualitätseigenschaft --- Dienstorientierte Architektur
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In this book, semiconductor optical amplifiers (SOAs) are studied with a view to linear and nonlinear applications in next-generation optical networks. Quantum-dot SOAs can be optimized for linear amplification of signals with different modulation formats and multiplexing techniques. Conversely, bulk SOAs can be easily optimized for operation in the nonlinear regime. However, due to the fast carrier recovery times in QD SOAs we also look into nonlinear applications with these devices.
wavelength conversion --- semiconductor optical amplifier (SOA) --- reach extender --- quantum-dot --- access network
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The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of smart grids has prompted investigations into the use of advanced algorithms combined with signal processing methods to provide optimal results. The presented applications are focused on data management with cloud computing, power quality assessment, photovoltaic power plant control, and electrical vehicle charge stations, all supported by modern AI-based optimization methods.
Advanced Metering Infrastructure (AMI) --- Distributed Energy Resources (DER) --- Distribution Management System (DMS) --- Graph Reduction in Parallel (GRIP) --- Intelligent Electronic Device (IED) --- Intelligent Platform Management Interface (IPMI) --- Service Oriented Architecture (SOA) --- Ultra Large-Scale System (ULSS) --- photovoltaic systems --- MPPT technique --- partial shading --- global MPP (GMPP) --- nature-inspired algorithms --- congestion management --- power flow --- generator rescheduling --- Flower Pollination Algorithm (FPA) --- Pumped Hydro Storage Unit (PHSU) --- ancillary services --- grid --- inverter --- PV --- reactive power --- solar --- Quasi-Z source inverter (QZSI) --- Y source inverter (YSI) --- energy storage system (ESS) --- hybrid renewable energy sources (HRES) --- demand --- load --- RBFNOEHO technique --- common mode current --- common mode voltage --- modulation techniques --- electromagnetic interference --- mitigation --- grid connected inverters --- rotor angle --- small signal stability --- householder algorithm --- power systems --- electric vehicles --- charging station --- transformer --- Energy PLAN --- renewable energy --- maximum demand (MD) --- solar PV --- battery energy storage system (BESS) --- net energy metering (NEM) --- maximum demand reduction (MDRed) model --- power quality --- voltage variations --- PV system --- aggregation times --- correlation analysis --- harmonic analysis --- wavelet transform --- wavelet packet --- measurement techniques --- cloud services --- trust management --- secure computing --- smart meter --- LBSS --- user-aware power regulatory model
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