Kaiserslautern - Fachbereich Elektrotechnik und Informationstechnik
Refine
Year of publication
Document Type
- Article (26) (remove)
Has Fulltext
- yes (26)
Keywords
- FPGA (2)
- Model checking (2)
- Networked Automation Systems (2)
- Netzwerk (2)
- Response-Zeit (2)
- distributed control systems (2)
- probabilistic model checking (2)
- verteilte Steuerungen (2)
- wahrscheinlichkeitsbasierte Modellverifikation (2)
- 5G (1)
Faculty / Organisational entity
Software defined radios can be implemented on general purpose processors (CPUs), e.g. based on a PC. A processor offers high flexibility: It can not only be used to process the data samples, but also to control receiver functions, display a waterfall or run demodulation software. However, processors can only handle signals of limited bandwidth due to their comparatively low processing speed. For signals of high bandwidth the SDR algorithms have to be implemented as custom designed digital circuits on an FPGA chip. An FPGA provides a very high processing speed, but also lacks flexibility and user interfaces. Recently the FPGA manufacturer Xilinx has
introduced a hybrid system on chip called Zynq, that combines both approaches. It features a dual ARM Cortex-A9 processor and an FPGA, that offer the flexibility of a processor with the processing speed of an FPGA on a single chip. The Zynq is therefore very interesting for use in SDRs. In this paper the
application of the Zynq and its evaluation board (Zedboard) will be discussed. As an example, a direct sampling receiver has been implemented on the Zedboard using a high-speed 16 bit ADC with 250 Msps.
Durch die stetige Zunahme von dezentralen Erzeugungsanlagen, den anstehenden Smart-Meter Rollout sowie die zu erwartende Elektrifizierung des Verkehrssektors (E-Mobilität) steht die Netzplanung und Netzbetriebsführung von Niederspannungsnetzen (NS-Netzen) in Deutschland vor großen Herausforderungen. In den letzten Jahren wurden daher viele Studien, Forschungs- und Demonstrationsprojekte zu den oben genannten Themen durchge-führt und die Ergebnisse sowie die entwickelten Methoden publiziert. Jedoch lassen sich die publizierten Methoden meist nicht nachbilden bzw. validieren, da die Untersuchungsmodelle oder die angesetzten Szenarien für Dritte nicht nachvollziehbar sind. Es fehlen einheitliche Netzmodelle, die die deutschen NS-Netze abbilden und für Ver-gleichsuntersuchungen herangezogen werden können, ähnlich dem Beispiel der nordamerikanischen Verteilnetzmodelle des IEEE.
Im Gegensatz zum Übertragungsnetz, dessen Struktur hinreichend genau bekannt ist, sind passende Netzmodelle für NS-Netze wegen der hohen Anzahlen der NS-Netze und Verteilnetzbetreiber (VNB) nur schwer abzubilden. Des Weiteren ist eine detaillierte Darstellung realer NS-Netze in wissenschaftlichen Publikationen aus daten-schutzrechtlichen Gründen meist nicht erwünscht. Für Untersuchungen im Rahmen eines Forschungsprojekts wurden darum möglichst charakteristische synthetische NS-Netzmodelle erstellt, die sich an gängigen deutschen Siedlungsstrukturen und üblichen Netzplanungsgrundsätzen orientieren. In dieser Arbeit werden diese NS-Netzmodelle sowie ihre Entwicklung im Detail erklärt. Damit stehen erstmals für die Öffentlichkeit nachvollziehbare NS-Netzmodelle für den deutschsprachigen Raum zur Verfügung. Sie können als Benchmark für wissenschaftliche Untersuchungen sowie zur Methodenentwicklung verwendet werden.
Im Gegensatz zum Übertragungsnetz, dessen Struktur hinreichend genau bekannt ist, sind passende Netzmodelle
für Mittelspannungsnetze (MS-Netze) wegen der hohen Anzahlen der MS-Netze und Verteilnetzbetreiber (VNB)
nur schwer abzubilden. Des Weiteren ist eine detaillierte Darstellung realer MS-Netze in wissenschaftlichen Publikationen
aus datenschutzrechtlichen Gründen meist nicht erwünscht. In dieser Arbeit werden MS-Netzmodelle
sowie ihre Entwicklung im Detail erklärt. Damit stehen erstmals für die Öffentlichkeit nachvollziehbare MS-Netzmodelle
für den deutschsprachigen Raum zur Verfügung. Sie können als Benchmark für wissenschaftliche Untersuchungen
sowie zur Methodenentwicklung verwendet werden.
Due to the steadily increasing number of decentralized generation units, the upcoming smart meter rollout and the expected electrification of the transport sector (e-mobility), grid planning and grid operation at low-voltage (LV) level are facing major challenges. Therefore, many studies, research and demonstration projects on the above topics have been carried out in recent years, and the results and the methods developed have been published. However, the published methods usually cannot be replicated or validated, since the majority of the examination models or the scenarios used are incomprehensible to third parties. There is a lack of uniform grid models that map the German LV grids and can be used for comparative investigations, which are similar to the example of the North American distribution grid models of the IEEE. In contrast to the transmission grid, whose structure is known with high accuracy, suitable grid models for LV grids are difficult to map because of the high number of LV grids and distribution system operators. Furthermore, a detailed description of real LV grids is usually not available in scientific publications for data privacy
reasons. For investigations within a research project, the most characteristic synthetic LV grid models have been created, which are based on common settlement structures and usual grid planning principles in Germany. In this work, these LV grid models, and their development are explained in detail. For the first time, comprehensible LV grid models for the middle European area are available to the public, which can be used as a benchmark for further scientific research and method developments.
This document is an English version of the paper which was originally written in German1. In addition, this paper discusses a few more aspects especially on the planning process of distribution grids in Germany.
In search of new technologies for optimizing the performance and space requirements of electronic and optical micro-circuits, the concept of spoof surface plasmon polaritons (SSPPs) has come to the fore of research in recent years. Due to the ability of SSPPs to confine and guide the energy of electromagnetic waves in a subwavelength space below the diffraction limit, SSPPs deliver all the tools to implement integrated circuits with a high integration rate. However, in order to guide SSPPs in the terahertz frequency range, it is necessary to carefully design metasurfaces that allow one to manipulate the spatio-temporal and spectral properties of the SSPPs at will. Here, we propose a specifically designed cut-wire metasurface that sustains strongly confined SSPP modes at terahertz frequencies. As we show by numerical simulations and also prove in experimental measurements, the proposed metasurface can tightly guide SSPPs on straight and curved pathways while maintaining their subwavelength field confinement perpendicular to the surface. Furthermore, we investigate the dependence of the spatio-temporal and spectral properties of the SSPP modes on the width of the metasurface lanes that can be composed of one, two or three cut-wires in the transverse direction. Our investigations deliver new insights into downsizing effects of guiding structures for SSPPs.
Regelkonzept für eine Niederspannungsnetzautomatisierung unter Verwendung des Merit-Order-Prinzips
(2022)
Durch die zunehmende Erzeugungsleistung auf Niederspannungsnetzebene (NS-Netzebene) durch Photovoltaikanlagen, sowie die Elektrifizierung des Wärme- und des Verkehrssektors sind Investitionen in die NS-Netze notwendig. Ein höherer Digitalisierungsgrad im NS-Netz birgt das Potential, die notwendigen Investitionen genauer zu identifizieren, und damit ggf. zu reduzieren oder zeitlich zu verschieben. Hierbei stellt die Markteinführung intelligenter Messsysteme, sog. Smart Meter, eine neue Möglichkeit dar, Messwerte aus dem NS-Netz zu erhalten und auf deren Grundlage die Stellgrößen verfügbarer Aktoren zu optimieren. Dazu stellt sich die Frage, wie Messdaten unterschiedlicher Messzyklen in einem Netzautomatisierungssystem genutzt werden können und wie sich das nicht-lineare ganzzahlige Optimierungsproblem der Stellgrößenoptimierung effizient lösen lässt. Diese Arbeit befasst sich mit der Lösung des Optimierungsproblems. Dazu kommt eine Stellgrößenoptimierung nach dem Merit-Order-Prinzip zur Anwendung.
Die fortschreitende Verbreitung von Ethernet-basierten Strukturen mit dezentralen und verteilten Anwendungen in der Automatisierung führt zu den so genannten netzbasier-ten Automatisierungssystemen (NAS). Diese sind zwar in Anschaffung und Betrieb kostengünstiger, moderner und flexibler als herkömmliche Strukturen, weisen jedoch nicht-deterministische Verzögerungen auf. Die genaue Analyse der resultierenden Antwortzeiten ist somit nicht nur Voraussetzung für den verantwortungsbewussten Einsatz dieser Technologie sondern ermöglicht es auch, bereits im Vorfeld von Umstrukturierungen oder Erweiterungen, Fragen der Verlässlichkeit zu klären. In diesem ersten von zwei Beiträgen wird hierfür zunächst die für die speziellen Bedürfnisse der Strukturbeschreibung von netzbasierten Automatisierungssystemen entwickelte Modellierungssprache DesLaNAS vorgestellt und auf ein einführendes Beispiel angewendet. Im zweiten Beitrag wird darauf aufbauend gezeigt, welchen Einfluss die einzelnen System-komponenten (SPS, Netzwerk, I/O-Karten) sowie netzbedingte Verhaltensmodi wie Synchronisation und die gemeinsame Nutzung von Ressourcen auf die Antwortzeiten des Gesamtsystems haben. Zur Analyse selbst wird die wahrscheinlichkeitsbasierte Modellverifikation (PMC) angewendet.
The mapping of a virtual network service onto a physical network infrastructure is a challenging task due to the joint allocation of virtual resources across nodes and links, the diverse technical requirements of end-users, the coordination between multiple host domains, and others. This issue is exacerbated further by the extension of virtualization to the next-generation radio access network (NG-RAN) architecture and the provisioning of radio access network (RAN) slicing. To that end, this article focuses on the mapping problem of the virtual network functions (VNFs), as well as their internal and external virtual links (VLs), of a RAN slice subnet onto intelligent points of presence (I-PoPs) and transport networks in the NG-RAN architecture. In this context, in contrast to the majority of the state-of-the-art proposals, which frequently fail to achieve performance objectives and neglect resource allocation constraints, this article introduces automation and intelligence at an architectural level to map VNFs and VLs onto their corresponding physical nodes and links, with the goal of achieving superior efficiency in virtual resource utilization while granting the performance of a RAN slice subnet. Benefiting from a top-down approach, the key contributions of this article are: (i) to extend the architectural framework of network slicing towards the NG-RAN architecture and provide a comprehensive overview and critical analysis of the components and functionalities of a RAN slice subnet; (ii) to integrate the Experiential Network Intelligence (ENI) framework into a joint architecture of the network functions virtualization–management and orchestration (NFV–MANO), Third Generation Partnership Project-network slicing management system (3GPP-NSMS), and I-PoPs in order to render automation and intelligence to the management and orchestration aspects of a RAN slice subnet in the NG-RAN architecture; and (iii) to propose a learning-assisted architectural solution for mapping the VNFs, as well as their internal and external VLs, of a RAN slice subnet onto the underlying I-PoPs and transport networks.
In recent years, ◂...▸optical character recognition (OCR) systems have been used to digitally preserve historical archives. To transcribe historical archives into a machine-readable form, first, the documents are scanned, then an OCR is applied. In order to digitize documents without the need to remove them from where they are archived, it is valuable to have a portable device that combines scanning and OCR capabilities. Nowadays, there exist many commercial and open-source document digitization techniques, which are optimized for contemporary documents. However, they fail to give sufficient text recognition accuracy for transcribing historical documents due to the severe quality degradation of such documents. On the contrary, the anyOCR system, which is designed to mainly digitize historical documents, provides high accuracy. However, this comes at a cost of high computational complexity resulting in long runtime and high power consumption. To tackle these challenges, we propose a low power energy-efficient accelerator with real-time capabilities called iDocChip, which is a configurable hybrid hardware-software programmable ◂...▸System-on-Chip (SoC) based on anyOCR for digitizing historical documents. In this paper, we focus on one of the most crucial processing steps in the anyOCR system: Text and Image Segmentation, which makes use of a multi-resolution morphology-based algorithm. Moreover, an optimized FPGA-based hybrid architecture of this anyOCR step along with its optimized software implementations are presented. We demonstrate our results on multiple embedded and general-purpose platforms with respect to runtime and power consumption. The resulting hardware accelerator outperforms the existing anyOCR by 6.2×, while achieving 207× higher energy-efficiency and maintaining its high accuracy.
Motivation: Mathematical models take an important place in science and engineering.
A model can help scientists to explain dynamic behavior of a system and to understand
the functionality of system components. Since length of a time series and number of
replicates is limited by the cost of experiments, Boolean networks as a structurally simple
and parameter-free logical model for gene regulatory networks have attracted interests
of many scientists. In order to fit into the biological contexts and to lower the data
requirements, biological prior knowledge is taken into consideration during the inference
procedure. In the literature, the existing identification approaches can only deal with a
subset of possible types of prior knowledge.
Results: We propose a new approach to identify Boolean networks fromtime series data
incorporating prior knowledge, such as partial network structure, canalizing property,
positive and negative unateness. Using vector form of Boolean variables and applying
a generalized matrix multiplication called the semi-tensor product (STP), each Boolean
function can be equivalently converted into a matrix expression. Based on this, the
identification problem is reformulated as an integer linear programming problem to
reveal the system matrix of Boolean model in a computationally efficient way, whose
dynamics are consistent with the important dynamics captured in the data. By using
prior knowledge the number of candidate functions can be reduced during the inference.
Hence, identification incorporating prior knowledge is especially suitable for the case of
small size time series data and data without sufficient stimuli. The proposed approach is
illustrated with the help of a biological model of the network of oxidative stress response.
Conclusions: The combination of efficient reformulation of the identification problem
with the possibility to incorporate various types of prior knowledge enables the
application of computational model inference to systems with limited amount of time
series data. The general applicability of thismethodological approachmakes it suitable for
a variety of biological systems and of general interest for biological and medical research.