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Suche nach „[S: TC Freyung]“ hat 374 Publikationen gefunden
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    DigitalF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    C. Hoermann, Raphaela Pagany, K. Kirchner, Wolfgang Dorner, M. Heurich, I. Storch

    Predicting the risk of deer-vehicle collisions by inferring rules learnt from deer experience and movement patterns in the vicinity of roads

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    DOI: 10.1109/ACIT49673.2020.9208843

    Abstract anzeigen

    Estimates of annual deer-vehicle collisions exceed one million incidences in Europe. Consequently, we were analyzing whether an animal’s experience and movement pattern close to roads can provide crucial information for accident prevention and mitigation measures. We applied an innovative approach using machine learning and step selection analyses to find rules and patterns in deer movement data for a better understanding of the spatio-temporal dynamics in wildlife-vehicle collisions. The rule tree indicated highest collision probabilities when the mean distance to a road of a roe deer tracking path was shorter than 192 meters and the roe deer crossed in more unfamiliar areas of its home range. The step selection function analysis revealed no obvious road avoidance and more road crossings in areas with less understory vegetation. Our results demonstrate the power of learned threshold values and step selection functions modelling results for a better understanding of the factors driving deer behavior in the vicinity of roads.

    DigitalF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Raphaela Pagany, Javier Valdés, Wolfgang Dorner

    Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    DOI: 10.1109/ACIT49673.2020.9208946

    Abstract anzeigen

    Risk prediction of wildlife-vehicle collisions is crucial for reducing the abundant number of road accidents with wildlife worldwide. In this study, three different machine learning approaches - Gaussian Naive Bayes, Stochastic Gradient Descent, Random Forest - relying on recorded accident data, environmental, temporal and infrastructural parameters, are used to test the impurity of these parameters, and to predict the risk of wildlife-vehicle collisions. We use a dataset of one million police recorded accidents for southeastern Bavaria. Based on different approaches for feature engineering, we show the importance of data pre-processing and cleaning. With Random Forest, we receive a prediction accuracy of accidents of 86.7%. Additionally, the transferability of the three approaches is discussed, and possible ways of dynamic warnings via smartphone are presented.

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    C. Hoermann, Raphaela Pagany, K. Kirchner, Wolfgang Dorner, M. Heurich, I. Storch

    Predicting the risk of deer-vehicle collisions by inferring rules learnt from deer experience and movement patterns in the vicinity of roads

    2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

    2020

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    Raphaela Pagany, Javier Valdés, Wolfgang Dorner

    Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use

    2020 10th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf

    2020

    DigitalF: Angewandte InformatikS: TC Freyung

    Zeitschriftenartikel

    Raphaela Pagany

    Wildlife-vehicle collisions—Influencing factors, data collection and research methods

    Biological Conservation, vol. 251, no. November

    2020

    DOI: 10.1016/j.biocon.2020.108758

    Abstract anzeigen

    Wildlife-vehicle collisions (WVCs) are caused by the close interaction of human and wildlife habitats worldwide. The large number of globally distributed accidents and the variety of environmental impacts characterize WVCs as intricate and challenging to predict. However, numerous research studies have been conducted to understand the causal relationships between drivers, animals, and the environment. In this paper, 645 publications are reviewed to provide an overview and a wide-ranging knowledge about WVC research. The study gathers the influencing factors on WVCs, systematizes the approaches for data collection, and identifies the main developments in analysis and predicting methods for WVCs. Factors such as the proximity to forest, a gentle topography with sparsely curves, street width, and seasonal differences are common denominators for WVCs - independent of the species -, while traffic volume, the distance to urban areas, or road accompanying infrastructure are not clearly assignable influencing or non-influencing factors. Different ways of data collection are observed, which range from carcass surveys by ecologists or crowdsourcing for species conservation to nearly real-time official reporting by involved parties as a basis for driving safety. Data collection and quality are discussed for their applicability, in particular, regarding the currently used analysing approaches for WVCs. Additionally, the advantages of the rarely employed machine learning approaches are discussed in terms of dynamic WVC risk prediction - including large-scale and temporally unrestricted transferability. These approaches may be helpful for prospective warning and road safety management on a global scale.

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    Wolfgang Dorner

    Road Infrastructure Documentation

    IENE - Infrastructure and Ecology Network Europe, Évora, Portugal (conference postponed)

    2020

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    Raphaela Pagany

    Spatiotemporal risk prediction of wildlife-vehicle collisions

    IENE - Infrastructure and Ecology Network Europe, Évora, Portugal (conference postponed)

    2020

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    Raphaela Pagany

    Risk prediction on road—Exemplified for wildlife-vehicle collisions

    ESAR - Expert Symposium on Accident Research, Hannover (conference postponed)

    2020

    DigitalF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Wolfgang Dorner, Mariann Juha

    Museumsapps - Individualität versus Plattformstrategie

    Digital Humanities Austria 2018

    2020

    ISBN: 978-3-7001-8668-7

    NachhaltigF: Angewandte WirtschaftswissenschaftenS: TC Freyung

    Zeitschriftenartikel

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

    Sustainable Peer-to-Peer Energy Trading Principles and Smart Meter Requirements for Smart Grids

    Bavarian Journal of Applied Sciences, vol. 5, no. 1, pp. 461-475

    2019

    DOI: 10.25929/bjas.v5i1.66

    Abstract anzeigen

    The sustainability and efficiency of the current and future power grid is an important topic nowadays. Thus, the increasing usage of renewable energy sources for generation of electricity requires a more complex infrastructure to manage generation and demand efficiently. In order to stabilize a power grid there are different methods to trade energy sources. Especially for smart grid infrastructures, the most interesting approach is to trade energy peer-to-peer. Thus, we consider different peer-to-peer principles in detail. Particularly, the underlying subsystem is essential for fast and accurate trading. That is why smart meters, forming the lowest layer of the system, are one of the most important parts within the grid infrastructure. Their main task is to provide high quality information and services for smart contracting and also for controlling the power grid with regard to efficiency and sustainability. The information provided by smart meters can also be used within a smart energy management to optimize production and consumption times. This demand side management approach helps to prevent overproduction and hence leads to more sustainablitiy in future decentralized power grids. For this purpose, peer-to-peer methods and smart meters have to fulfil dedicated requirements which are considered here in more detail.

    NachhaltigF: Angewandte InformatikS: TC Freyung

    Zeitschriftenartikel

    D. Kammerl, Roland Zink

    Nachhaltigkeitsdiamant – Bewertungs- und Implementierungsmethode für eine nachhaltigkeitsorientierte Produktentwicklung

    Bavarian Journal of Applied Sciences, vol. 5, no. 1, pp. 423-434

    2019

    DOI: 10.25929/bjas.v5i1.71

    Abstract anzeigen

    Im vorliegenden Beitrag wird eine Methode beschrieben, um Nachhaltigkeit in der Produkt- und Produkt-Service-System-Entwicklung zu bewerten. Der Fokus liegt dabei insbesondere auf der frühen Phase der Entwicklung, um im Gegensatz zu einer Vielzahl der bestehenden Bewertungsmethoden proaktiv und nicht reaktiv handeln zu können. Mithilfe der Methode wird der komplexe Sachverhalt der Nachhaltigkeit messbar und graphisch auf einfach verständliche Art und Weise dargestellt.

    DigitalF: Angewandte InformatikS: TC Freyung

    Zeitschriftenartikel

    Roland Zink, Melanie Piser, Sebastian Wöllmann

    Kommunale Homepages zur nachhaltigen Bürgerkommunikation und -partizipation – ein Vergleich von Stadt und Land

    Bavarian Journal of Applied Sciences, vol. 5, no. 1, pp. 412-422

    2019

    Abstract anzeigen

    Motiviert durch die aktuellen Trends in der digitalen Kommunikation hin zu interaktiven Homepages und Sozialen Medien, thematisiert dieser Beitrag das quantitative Angebot von digitalen Funktionen auf kommunalen Homepages im Vergleich von Stadt und Land. Dazu findet eine Sichtung von insgesamt 209 Homepages von Kommunen in Bayern mit unterschiedlicher Einwohnergröße und unterschiedlicher infrastruktureller Ausgangslage statt. Die Analyse unterscheidet dabei in die etablierten Bereiche des (1) Bürgerkontakts (Web 1.0) sowie in (2) Bürgerdialog und (3) Soziale Medien mit interaktiven und Web 2.0-Angeboten. Die Ergebnisse zeigen, dass ländliche Kommunen in den beiden ersten Kategorien mit den städtischen Kommunen auf Augenhöhe agieren, beim Einsatz Sozialer Medien aber bisher weit zurückbleiben. Gründe hierfür können sowohl mangelnde Kompetenzen im Umgang mit Sozialen Medien als auch die infrastrukturelle, personelle und finanzielle Ausstattung der Kommune sein. Dennoch bedarf es künftig einer proaktiven Herangehensweise der Kommunen, um diese Lücke zu schließen und moderne digitale Kommunikationsangebote im ländlichen Raum weiter zu stärken. Recent trends show the development from digital communication to interactive homepages and social media features. This contribution discusses the quantifiable offer of digital features on urban and rural municipal homepages in comparison. For this, 209 homepages of Bavarian municipalities with differences concerning population and infrastructural situation were analyzed. The analysis discerns three sections: (1) contact with citizens (web 1.0), (2) dialogue with inhabitants and (3) social media and interactive web 2.0 features. The results show that urban and rural municipalities are head to head in the first two categories, in the third case, however, the rural areas are left far behind. Reasons for this might be the lack of competences in using social media and the lack of infrastructural, personal and financial resources. It is necessary to actively tackle this issue in order to close this gap and to strengthen contemporary communication in rural areas.

    NachhaltigF: Angewandte GesundheitswissenschaftenF: Angewandte InformatikS: TC Freyung

    Zeitschriftenartikel

    Roland Zink, Bernhard Bleyer

    Einleitung: Sustainable Development Goals und ihre Orientierungsfunktion für angewandte Wissenschaften

    Bavarian Journal of Applied Sciences, vol. 5, no. 1, pp. 406-411

    2019

    DOI: 10.25929/bjas.v5i1.82

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    C. Hoermann, Raphaela Pagany, F. Ossi, F. Cagnacci, Wolfgang Dorner, M. Heurich

    L‘ecologia del movimento e gli investimenti stradali: Un‘analisi a larga scala sul capriolo europeo (Capreolus capreolus)

    Workshop Wildunfälle in Südtirol - Incidenti stradali con la fauna selvatica in Alto Adige, Bozen, Italy

    2019

    DigitalF: Angewandte InformatikS: TC Freyung

    Vortrag

    Simon Graf, Raphaela Pagany, Wolfgang Dorner, A. Weigold

    Georeferencing of Road Infrastructure from Photographs using Computer Vision and Deep Learning for Road Safety Applications

    5th International Conference on Geographical Information Systems Theory, Applications and Management, Heraklion, Greece

    2019

    NachhaltigF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Javier Valdés

    The role of policy on the Chilean sustainable energy transition in historical perspective

    Proceedings of Energy and Society in Transition: 2nd International Conference on Energy Research and Social Science (28 May, 2019; Arizona State University, Tempe, AZ, USA)

    2019

    NachhaltigF: Angewandte InformatikS: TC Freyung

    Zeitschriftenartikel

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

    Gestión de la Demanda en la Industria de Chile: Aprendiendo del Caso Alemán (Demand Side Management on the Chile Industry: Learning From the German Case )

    Ingeniería, vol. 24, no. 3

    2019

    DOI: 10.14483/23448393.14709

    Abstract anzeigen

    Context: Both pioneer countries and those that have recently begun an energy transition towards renewable energy require high levels of flexibility in their electrical systems. This article reviews the Demand Side Management (DSM) application as a tool to provide flexibility, and then, to achieve renewable energy penetration objectives. Method: A systematic mini-review of the literature has been done to review the origin and evolution of the concept of DSM in German and Chilean industry, at the same time, to make a parallel and comparison between them. Results: Both countries have difficulties in taking advantage of the demand management potential in the industry, the lack of promoting policies and the lack of specific regulatory frameworks are some of the causes. Conclusions: It is necessary to speed up attention to the management of demand, it is important that the academy contributes with estimates of potential, it also needs public policies that encourage the use of this tool.

    DigitalNachhaltigF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Jane Wuth, Javier Valdés, Luis Ramirez Camargo, Wolfgang Dorner

    Energy Modelling in Rural Areas with Spatial and Temporal Data in Germany and Czech Republic

    Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM2019) [May 3-5, 2019; Heraklion, Crete, Greece], vol. Vol. 1

    2019

    Abstract anzeigen

    One of the major challenges for the energy transition is to reconcile variable renewable energy production with stochastically changing energy demand including the pursued changes in e.g. transport like electro mobility. This requires smart systems that should be designed to minimize balancing and transmission costs. The design and modelling of such systems requires high resolution energy generation and demand data, which usually either do not exist or is not available. Methodologies to address this lack of data populate scientific literature but its replicability is limited by an inadequate level of detail in the description of the methodologies and to a larger extent by the absence or low quality of basic data. This manuscript summarizes severalyears of research in energy modelling using Geographical Information Systems as well as spatial and temporal data of the rural areas in Bavaria (Germany) and the Czech Republic. Data requirements for energy demand and energy supply including different types of users and technologies are addressed. Irreconcilable data gaps are presented, examples to fill data gaps as well as recommendations for future necessary developments are provided

    NachhaltigF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

    M. Roithner, Jane Wuth, Luis Ramirez Camargo

    Using spatiotemporal data to evaluate renewable electricity self-sufficiency of municipalities and states in Bavaria and the Czech Republic

    Geophysical Research Abstracts, vol. 21

    2019

    Abstract anzeigen

    Photovoltaics and wind power are the fastest growing and best established renewable energy technologies of today. Both are usually presented as the preferred option for energy systems to reach high shares of renewables but their integration is not an easy task due to their varying availability and its grid's feed-in. This work presents the likelihood of municipalities in Bavaria (Germany) and federal states in the Czech Republic to reach high penetration of photovoltaics and wind power until 2050 by taking into account demographic changes and alternative regulatory developments. To accomplish this, spatial development potential of wind power for three different sizes of turbines (10m, 50m and 137m) and free-standing photovoltaics are calculated for the whole study area using a mix of official and open data. Time series of electricity generation are constructed for every single potential area using physical models of the technologies. These models rely on solar radiation, temperature and wind speed time series from the COSMO-REA6 regional reanalysis as input data. Moreover, current total electricity demand per type of sector (residential, agricultural and industrial) is distributed in space using population and land use data from the LUISA territorial modelling platform of the European Commission. The population and land use forecast of the latter data set is utilized to estimate electricity demand per administrative unit for 2030 and 2050. The yearly values of electricity demand for each administrative unit are transformed into hourly electricity demand time series using German and Czech standard load profiles. Finally, an optimization model is employed to estimate if the local renewable potential per administrative unit together with storage systems are sufficient to cover the local demand under current and future conditions. Results are presented using maps covering the whole study area. These do not only show that massive storage systems would be required in order to supply electricity only based on photovoltaics and wind power, but also that the feasibility of achieving this could be considerably different between geographic and climatic areas with similar conditions.

    NachhaltigF: Angewandte InformatikS: TC Freyung

    Beitrag (Sammelband oder Tagungsband)

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

    Potential of the paper industry as system flexibility provider for an electrical system with high renewable energy share in Chile

    Geophysical Research Abstracts, vol. 21

    2019