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Suche nach „[Elektrotechnik und Medientechnik]“ hat 1199 Publikationen gefunden
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    DigitalElektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    R. Kühn, Andreas Fischer, H. Meer

    Modeling Security Requirements for VNE Algorithms: A Practical Approach

    Systems Modeling: Methodologies and Tools, Cham

    2019

    ISBN: 978-3-319-92378-9

    MobilElektrotechnik und MedientechnikTC Freyung

    Zeitschriftenartikel

    Raphaela Pagany, Wolfgang Dorner

    Do Crash Barriers and Fences Have an Impact on Wildlife-Vehicle Collisions? An Artificial Intelligence and GIS-Based Analysis

    ISPRS International Journal of Geo-Information, vol. 8, no. 2

    2019

    DOI: 10.3390/ijgi8020066

    Abstract anzeigen

    Wildlife–vehicle collisions (WVCs) cause significant road mortality of wildlife and have led to the installation of protective measures along streets. Until now, it has been difficult to determine the impact of roadside infrastructure that might act as a barrier for animals. The main deficits are the lack of geodata for roadside infrastructure and georeferenced accidents recorded for a larger area. We analyzed 113 km of road network of the district Freyung-Grafenau, Germany, and 1571 WVCs, examining correlations between the appearance of WVCs, the presence or absence of roadside infrastructure, particularly crash barriers and fences, and the relevance of the blocking effect for individual species. To receive infrastructure data on a larger scale, we analyzed 5596 road inspection images with a neural network for barrier recognition and a GIS for a complete spatial inventory. This data was combined with the data of WVCs in GIS to evaluate the infrastructure’s impact on accidents. The results show that crash barriers have an effect on WVCs, as collisions are lower on roads with crash barriers. In particular, smaller animals have a lower collision share. The risk reduction at fenced sections could not be proven as fenced sections are only available at 3% of the analyzed roads. Thus, especially the fence dataset must be validated by a larger sample number. However, these preliminary results indicate that the combination of artificial intelligence and GIS may be used to analyze and better allocate protective barriers or to apply it in alternative measures, such as dynamic WVC risk-warning.

    NachhaltigElektrotechnik und MedientechnikIQMA

    Zeitschriftenartikel

    L. Liu, S. Li, D. Liu, Günther Benstetter, O. Man, J. Michalicka, Y. Zhang, Y. Hong, H. Fan, W. Ni, Q. Yang, Y. Wu, Z. Bi

    The effect of O2 impurity on surface morphology of polycrystalline W during low-energy and high-flux He+ irradiation

    Fusion Engineering and Design, vol. 139, pp. 96-103

    2019

    DOI: 10.1016/j.fusengdes.2019.01.003

    Abstract anzeigen

    The interaction between the impurities (such as carbon, nitrogen, oxygen) and the plasma-facing materials (PFMs) can profoundly influence the performance and service of the PFMs. In this paper, we investigated the influence of oxygen (O2) impurity in the helium radio frequency (RF) plasma on the surface morphology of polycrystalline tungsten (W) irradiated at the surface temperature of 1450 ± 50 K and the ion energy of 100 eV. The pressure ratio of O2 to He (R) in RF source varied from 4.0 × 10−6 to 9.0 × 10-2. The total irradiation flux and fluence were ˜1.2 × 1022 ions·m-2·s-1 and ˜1.0 × 1026 ions·m-2, respectively. After He+ irradiation, the specimen surface morphology was observed by scanning electron microscopy. It was found that with increasing R from 4.0 × 10−6 to 9.0 × 10-2 the thickness of nano-fuzz layer at the W surface was thinner and thinner, accompanied by the formation of rod-like structures. The erosion yield increased from 5.2 × 10-4 to 2.3 × 10-2 W/ion when R varied from 4.0 × 10-6 to 9.0 × 10-2. The X-ray diffraction analysis shows that tungsten oxides were formed at the near surface of specimens when R exceeded 1.8 × 10-2. The erosion yield measurements revealed that in addition to surface physical sputtering process, the chemical erosion process could occur due to the interaction between oxygen-containing species and W at the surface. The results indicated that the presence of O2 impurity in He plasma can obviously affect the surface microstructure of W. The study suggested that O2 impurity can effectively reduce the growth of nano-fuzz structures.

    NachhaltigElektrotechnik und MedientechnikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    A. Poque González, Y. Masip Macia, Javier Valdés, Luis Ramirez Camargo

    Cogeneración en Chile: Capacidades, desarrollo y perspectivas

    Memorias de la XLI Reunión de Trabajo de la ASADES (Nov 5-10, 2018; Cordoba, Argentina)

    2019

    ISBN: 978-987-29873-1-2

    MobilElektrotechnik und MedientechnikTC Freyung

    Vortrag

    Markus Eider, Andreas Berl

    Verlängerte Batterielebensdauer von Elektrofahrzeugen durch dynamische Nutzungsempfehlungen

    4. Jahreskonferenz des Netzwerks INDIGO (Internet und Digitalisierung Ostbayern), Deggendorf

    2018

    DigitalMobilElektrotechnik und MedientechnikInstitut ProtectIT

    Vortrag

    Andreas Grzemba

    Entwicklungstrends in der Car IT Security

    2018

    MobilElektrotechnik und Medientechnik

    Zeitschriftenartikel

    Diana Schramm, Nicki Bodenschatz, Andreas Berl

    Usage Profiling in Electric Vehicles

    Bavarian Journal of Applied Sciences, vol. 4, no. 1, pp. 342-353

    2018

    DOI: 10.25929/bjas.v4i1.52

    Abstract anzeigen

    In the overall effort of reducing CO2 emissions, the significance of alternative drive engines is growing. The transition from combustion engine vehicles to electric vehicles is high on the political agendas, with governments providing extensive funding to promote electric mobility. However, there are still challenges that hamper the dissemination of electric vehicles. One of those challenges is the limited range and the resulting range anxiety. Displayed vehicle range data contribute to this, as they are relatively inaccurate and might vary quite strongly during individual trips. This problem could be addressed by personalizing the range display according to the driving style of the current driver. Driver assistance services, like distance control, are becoming increasingly personalized nowadays, however, they are predominantly designed for internal combustion engine vehicles. In this paper, relevant input parameters for classifying the driving styles of electric vehicle users are identified. Furthermore, a system based on real-life driving data is developed to determine the driving style. Real-life driving data were collected in experiments and used to profile the driving style by means of fuzzy logic. Based on the results, an approach for a realistic classification of driving styles of electric vehicle users is discussed.

    DigitalMobilElektrotechnik und MedientechnikTC Freyung

    Zeitschriftenartikel

    Javier Valdés, Jane Wuth, Roland Zink, Sebastian Schröck, Matthias Schmidbauer

    Extracting Relevant Points of Interest from Open Street Map to Support E-Mobility Infrastructure Models

    Bavarian Journal of Applied Sciences, vol. 4, no. 1, pp. 323-341

    2018

    DOI: 10.25929/bjas.v4i1.51

    Abstract anzeigen

    Neben kommerziell bereitgestellten Geodaten nehmen freiwillig erhobene geographische Daten (VGI, volunteered geographic information) in der Forschung einen wachsenden Stellenwert ein. Plattformen wie OpenStreetMap (OSM) bieten inzwischen eine enorme Menge an Geodaten, deren Qualität und deren Mehrwert für die Forschung zunehmend kritisch betrachtet werden. Besonders dann, wenn es um räumliche Planung geht, müssen die Daten vor der Anwendung angemessen validiert und bereinigt werden. In diesem Artikel wird ein Datenverarbeitungsmodell vorgestellt, mit dem OSM-Daten so aufbereitet werden können, dass der Bedarf an Ladeinfrastruktur für Elektroautos über von Nutzern eingetragene Point of Interests (POI) räumlich möglichst genau erfasst und abgebildet werden kann. Zunächst erfolgt eine Selektion relevanter Datensets durch eine Prävalidierung. Im zweiten Schritt werden die wichtigsten POI selektiert und spezifiziert. In einem dritten Schritt werden alle OSM-immanenten Schwierigkeiten beseitigt. Das hier vorgestellte Datenverarbeitungsmodell ist auf das Thema Elektromobilität zugeschnitten, für welches POIs in die vier Zeitkategorien Arbeit, Leben, Einkaufen und Freizeit eingeteilt werden, um so den Bedarf an Ladeinfrastruktur zu erheben. Durch dieses Modell der Datenverarbeitung soll die Energienachfrage für Elektroautos räumlich möglichst realistisch dargestellt werden und Rohdaten mit ihren bekannten Fehlern durch den OSM-Datensammlungsprozess bereinigt aufbereitet werden. Anhand einer Fallstudie, die im bayerisch-tschechischen Grenzraum durchgeführt wurde, wird gezeigt, dass die Fehlerrate durch die Implementierung validierter Daten um ca 10% reduziert werden kann.

    MobilElektrotechnik und Medientechnik

    Beitrag (Sammelband oder Tagungsband)

    S. Kerscher, N. Balbierer, S. Kraust, A. Hartmannsgruber, Nikolaus Müller, B. Ludwig

    Intention-Based Prediction for Pedestrians and Vehicles in Unstructured Environments

    VEHITS 2018

    2018

    ISBN: 978-989-758-293-6

    Abstract anzeigen

    Motion prediction for holonomic objects in unstructured environments is an ambitious task due to their high freedom of movement compared with non-holonomic objects. In this paper, we present a method for inferring the future goal of holonomic objects by a heuristic generation of target points (tp) and following discriminating decision making. The target points are generated, in a manner that covers the most common motion hypotheses like following or staying, safety relevant motion hypotheses like crossing future ego trajectories or the movement to special points of interest, e.g. gained from a map. Subsequently, for each considered object a trajectory to the inferred target point will be planned. Finally, the uncertainty of the trajectory is estimated by applying a Kalman Filter with a dynamically adjusted process noise matrix. An additional benefit of this concept is its ability to cope with a different quality of context knowledge, so it can produce sound results even at poor structured environments.

    DigitalElektrotechnik und MedientechnikTC Freyung

    Vortrag

    Stefan Kunze, Alexander Weinberger, Rainer Pöschl

    Concept for a Software Defined Radio Based System for Detection, Classification and Analysis of Radio Signals from Civilian Unmanned Aerial Systems

    the 2nd URSI Atlantic Radio Science Conference (URSI AT-RASC), Maspalomas, Gran Canaria, Spanien

    2018

    DigitalNachhaltigElektrotechnik und MedientechnikTC Freyung

    Vortrag

    Alexander Faschingbauer, Stefan Kunze, Rainer Pöschl

    Comparison of Software Defined Radio Techniques and Smart Metering Devices for Predictive Maintenance Applications

    2nd URSI Atlantic Radio Science Conference (URSI AT-RASC), Maspalomas, Gran Canaria, Spanien

    2018

    DigitalNachhaltigElektrotechnik und MedientechnikTC Freyung

    Vortrag

    Christina Sigl, Alexander Faschingbauer, Andreas Berl

    Management of Virtual Desktops in Energy Efficient Office Environments Using Thin Clients

    Ninth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2018), colocated with ComputationWorld 2018, Barcelona, Spanien

    2018

    DigitalNachhaltigElektrotechnik und MedientechnikTC Freyung

    Vortrag

    Christina Sigl, Alexander Faschingbauer, Andreas Berl, J. Geyer, R. Vohnout, M. Prokýšek

    The Role of Smart Meters in P2P Energy Trading in the Low Voltage Grid

    Advanced Computer Information Technologies- ACIT 2018, České Budějovice, Czech Republic

    2018

    DigitalNachhaltigElektrotechnik und MedientechnikTC Freyung

    Vortrag

    Christina Sigl, Andreas Berl

    Benchmarking and User Types in Virtual Desktop Infrastructures

    2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania

    2018

    DigitalElektrotechnik und MedientechnikInstitut ProtectIT

    Vortrag

    Martin Schramm

    A Practical Introduction to Cryptographic Engineering

    [Invited Talk; eingeladen von Dalibor Fiala (PhD)]

    2018

    DigitalElektrotechnik und Medientechnik

    Zeitschriftenartikel

    K. Brunnström, Marcus Barkowsky

    Statistical quality of experience analysis: on planning the sample size and statistical significance testing

    Journal of Electronic Imaging, vol. 27, no. 05

    2018

    DOI: 10.1117/1.JEI.27.5.053013

    Abstract anzeigen

    This paper analyzes how an experimenter can balance errors in subjective video quality tests between the statistical power of finding an effect if it is there and not claiming that an effect is there if the effect is not there, i.e., balancing Type I and Type II errors. The risk of committing Type I errors increases with the number of comparisons that are performed in statistical tests. We will show that when controlling for this and at the same time keeping the power of the experiment at a reasonably high level, it is unlikely that the number of test subjects that are normally used and recommended by the International Telecommunication Union (ITU), i.e., 15 is sufficient but the number used by the Video Quality Experts Group (VQEG), i.e., 24 is more likely to be sufficient. Examples will also be given for the influence of Type I error on the statistical significance of comparing objective metrics by correlation. We also present a comparison between parametric and nonparametric statistics. The comparison targets the question whether we would reach different conclusions on the statistical difference between the video quality ratings of different video clips in a subjective test, based on the comparison between the student T-test and the Mann–Whitney U-test. We found that there was hardly a difference when few comparisons are compensated for, i.e., then almost the same conclusions are reached. When the number of comparisons is increased, then larger and larger differences between the two methods are revealed. In these cases, the parametric T-test gives clearly more significant cases, than the nonparametric test, which makes it more important to investigate whether the assumptions are met for performing a certain test.

    DigitalElektrotechnik und Medientechnik

    Zeitschriftenartikel

    A. Aldahdooh, E. Masala, O. Janssens, G. Wallendael, Marcus Barkowsky, P. Callet, G. van Wallendael, P. Lambert

    Improved Performance Measures for Video Quality Assessment Algorithms Using Training and Validation Sets

    IEEE Transactions on Multimedia, vol. 74, pp. 32-41

    2018

    Abstract anzeigen

    Due to the three-dimensional spatiotemporal regularities of natural videos and small-scale video quality databases, effective objective video quality assessment (VQA) metrics are difficult to obtain but highly desirable. In this paper, we propose a general-purpose no-reference VQA framework that is based on weakly supervised learning with convolutional neural network (CNN) and resampling strategy. First, an eight-layer CNN is trained by weakly supervised learning to construct the relationship between the deformations of the three dimensional discrete cosine transform of video blocks and corresponding weak labels judged by a full-reference (FR) VQA metric. Thus, the CNN obtains the quality assessment capacity converted from the FR-VQA metric, and the effective features of the distorted videos can be extracted through the trained network. Then, we map the frequency histogram calculated from the quality score vectors predicted by the trained network onto the perceptual quality. Specially, to improve the performance of the mapping function, we transfer the frequency histogram of the distorted images and videos to resample the training set. The experiments are carried out on several widely used video quality assessment databases. The experimental results demonstrate that the proposed method is on a par with some state-of-the-art VQA metrics and has promising robustness.

    DigitalElektrotechnik und MedientechnikInstitut ProtectIT

    Zeitschriftenartikel

    Martin Schramm, R. Dojen, Michael Heigl

    A Vendor-Neutral Unified Core for Cryptographic Operations in GF(p) and GF( 2m ) Based on Montgomery Arithmetic (Article ID 4983404)

    Security and Communication Networks, no. 9, pp. 1-18

    2018

    DOI: 10.1155/2018/4983404

    Abstract anzeigen

    In the emerging IoT ecosystem in which the internetworking will reach a totally new dimension the crucial role of efficient security solutions for embedded devices will be without controversy. Typically IoT-enabled devices are equipped with integrated circuits, such as ASICs or FPGAs to achieve highly specific tasks. Such devices must have cryptographic layers implemented and must be able to access cryptographic functions for encrypting/decrypting and signing/verifying data using various algorithms and generate true random numbers, random primes, and cryptographic keys. In the context of a limited amount of resources that typical IoT devices will exhibit, due to energy efficiency requirements, efficient hardware structures in terms of time, area, and power consumption must be deployed. In this paper, we describe a scalable word-based multivendor-capable cryptographic core, being able to perform arithmetic operations in prime and binary extension finite fields based on Montgomery Arithmetic. The functional range comprises the calculation of modular additions and subtractions, the determination of the Montgomery Parameters, and the execution of Montgomery Multiplications and Montgomery Exponentiations. A prototype implementation of the adaptable arithmetic core is detailed. Furthermore, the decomposition of cryptographic algorithms to be used together with the proposed core is stated and a performance analysis is given.

    NachhaltigElektrotechnik und MedientechnikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    F. Nitsch, K. Gruber, Luis Ramirez Camargo, Wolfgang Dorner

    Assessing regional reanalysis data sets for planning small-scale renewable energy system

    20th EGU General Assembly, EGU2018, Proceedings from the conference held 4-13 April, 2018 in Vienna, Austria, p.4996

    2018

    Abstract anzeigen

    An accurate resource availability estimation is vital for proper location, sizing and economic viability of renewable energy plants. Large photovoltaic (PV) and wind installations undergo a long and exhaustive planning process that would imply unacceptably high costs for developers of small-scale installations. In a context of abolition of feed-in tariffs, electricity feed-in restricted by grid capacity constraints and storage systems being commercialized at lower costs, the acquisition of high quality solar radiation and wind speed data becomes important also for planners of small scale installations. These data allow the characterization of short-term and inter-annual variability of the resources availability. Global reanalysis data sets provide long time series of these variables with temporal resolutions that can be as high as one hour and at no cost for the final user. However, due to the coarse spatial resolution and relatively low accuracy these products only provide an inferior alternative for data retrieval compared to e.g. satellite derived radiation data sets or advanced interpolation methods for wind speed data. The COSMO-REA6 and COSMOS-REA2 regional reanalysis overcome this limitation by increasing the resolution of the reanalysis to six and two kilometres respectively. The accuracy of these data sets for variables with high relevancy for meteorology, such as rainfall, has been assessed with satisfactory results but an independent evaluation for variables relevant for renewable energy generation has not been performed yet. This work presents an assessment of the variables of these data sets that have been made available to the public until November 2017. This assessment is performed for the area of the federal state of Bavaria in Germany and whole Czech Republic using data of the Bavarian agro-meteorological network and the Czech Hydrometeorological Institute. Accuracy indicators are calculated for horizontal global radiation or cloud coverage (depending on data availability from the weather stations) and wind speeds at 10 meters height. While there are important differences between weather stations and cloud coverage data, the results for wind speeds and global solar irradiance are satisfactory for most of the locations. For certain locations widely used indicators such as the Pearson's correlation coefficient reach values above 0.8 for wind speeds and above 0.9 for global solar irradiance and the mean biased error is consistently lower than 10 W/m2 and can be as low as 0.3 W/m2 for the irradiance data and is, with a few exceptions, lower than 2 m/s in Germany and lower than 1 m/s in the Czech Republic for wind speed data. A total of eight indicators for the hourly data in the period between 1995 and 2015 are calculated, presented, discussed and compared against international literature dealing with data accuracy for solar irradiance and wind speed data sets.

    NachhaltigElektrotechnik und MedientechnikTC Freyung

    Zeitschriftenartikel

    A. Dudkiewicz, A. Lehner, Q. Chaudhry, K. Molhave, G. Allmaier, K. Tiede, Boxall, A. B. A., Peter Hofmann, J. Lewis

    Development of a sample preparation approach to measure the size of nanoparticle aggregates by electron microscopy

    [Available online 29 November 2018]

    Particuology

    2018

    DOI: 10.1016/j.partic.2018.05.007

    Abstract anzeigen

    Electron microscopy (EM) is widely used for nanoparticle (NP) sizing. Following an initial assessment of two sample preparation protocols described in the current literature as “unperturbed”, we found that neither could accurately measure the size of NPs featuring a broad size distribution, e.g., aggregates. Because many real-world NP samples consist of aggregates, this finding was of considerable concern. The data showed that the protocols introduced errors into the measurement by either inducing agglomeration artefacts or providing a skewed size distribution towards small particles (skewing artefact). The focus of this work was to develop and apply a mathematical refinement to correct the skewing artefact. This refinement provided a much improved agreement between EM and a reference methodology, when applied to the measurement of synthetic amorphous silica NPs. Further investigation, highlighted the influence of NP chemistry on the refinement. This study emphasised the urgent need for greater and more detailed consideration regarding the sample preparation of NP aggregates to routinely achieve accurate measurements by EM. This study also provided a novel refinement solution applicable to the size characterisation of silica and citrate-coated gold NPs featuring broad size distributions. With further research, this approach could be extended to other NP types