Publikationen


Suche nach „[Contribution]“ hat 1867 Publikationen gefunden
Suchergebnis als PDF
    DigitalMobilF: Angewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    S. Mund, Patrick Glauner

    Autonomous Driving on the Thin Trail of Great Opportunities and Dangerous Trust

    Innovative Technologies for Market Leadership: Investing in the Future

    2020

    ISBN: 978-3-030-41308-8

    DigitalF: Angewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    M. Thurner, Patrick Glauner

    Digitalization in Mechanical Engineering

    Innovative Technologies for Market Leadership: Investing in the Future

    2020

    ISBN: 978-3-030-41308-8

    DigitalF: Angewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Patrick Glauner

    Unlocking the Power of Artificial Intelligence for Your Business

    Innovative Technologies for Market Leadership: Investing in the Future

    2020

    ISBN: 978-3-030-41308-8

    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.

    DigitalI: Institut für Existenzgründung

    Beitrag (Sammelband oder Tagungsband)

    Thomas Bartscher, W. Büning

    Entzauberung von Latenzen

    Change-Tools, Bonn

    2020

    ISBN: 978-3936075397

    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

    DigitalF: Angewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Monica I. Ciolacu, Leon Binder, P. M. Svasta, D. Stoichescu, I. Tache

    Education 4.0 - Jump to Innovation IoT in Higher Education

    Proceedings of the 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME) [Oct 23-26, 2019; Cluj-Napoca, Romania], New York, NY, USA

    2020

    DOI: 10.1109/SIITME47687.2019.8990825

    Abstract anzeigen

    Artificial Intelligence (AI) will play a key role in Higher Education. Our contribution leads the road to innovation within IoT for Education 4.0, using a system comprising smartwatch data, health data, learning analytics and Artificial Intelligence. By using embedded sensors from wearable devices, we can add value to Education 4.0. Smartwatches are IoT devices, equipped with a multitude of embedded sensors collecting distraction-free huge amounts of real-time data during students’ learning. In our paper we highlight advantages of wrist-based wearables like smartwatches for Education 4.0. We develop a User Experience Questionnaire for the measurement of acceptance of advanced electronic technology in Higher Education. We identify as experiment’s results the most important sensors and protocols for Education 4.0.

    DigitalF: Angewandte InformatikS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Monica I. Ciolacu, Leon Binder, Heribert Popp

    Enabling IoT in Education 4.0 with Biosensors from Wearables and Artificial Intelligence

    Proceedings of the 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME) [Oct 23-26, 2019; Cluj-Napoca, Romania], New York, NY, USA

    2020

    DOI: 10.1109/SIITME47687.2019.8990763

    Abstract anzeigen

    A major challenge for Education 4.0 is to make use of wearable devices for helping students in monitoring their learning behavior and their activities (steps, heart rate variability, and heart rate) in real-time. The first aim of this paper is to present our implementation of adaptivity and Artificial Intelligence (AI) methods within the Education 4.0 process. In this work, we investigate embedded biosensors (noninvasive, low-cost, and distraction-free) used in smartphones and smartwatches. The next objective is to enable IoT for Higher Education, i.e. a novel system assisted by AI that takes embedded biosensor data and environmental data into account in order to estimate students’ wellbeing and health. In this regard, we propose a framework that uses wearable devices to collect data with biofeedback methods to support students’ academic success.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    T. Chondrogiannis, Mouzhi Ge

    Inferring ratings for custom trips from rich GPS traces

    LocalRec '19: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations

    2019

    DOI: 10.1145/3356994.3365502

    Abstract anzeigen

    Trip planning services are employed extensively by users to compute paths between locations and navigate within a road network. In some real-world scenarios such as planning for a hiking trip or running training, users usually require personalized trip planning. Although some existing systems can recommend trips that other users have posted, along with a set of ratings w.r.t. the difficulty of the route, conditions, or the enjoyment it provides. Very often though users want to define a custom trip that fits their personal needs, for which existing systems are unable to provide any rating. In this paper we therefore define the problem of inferring ratings for custom trips. We also outline a solution to infer ratings by utilizing the ratings of trips previously posted by users and their similarity with a given custom trip. Finally, we present the results of preliminary experiments were we evaluate the efficiency of our proposed approach on inferring ratings for trips related to hiking and other similar activities.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    L. Trang, H. Bangui, Mouzhi Ge, B. Buhnova

    Scaling Big Data Applications in Smart City with Coresets

    Proceedings of the 8th International Conference on Data Science, Technology and Applications, vol. Vol. 1: DATA

    2019

    DOI: 10.5220/0007958803570363

    Abstract anzeigen

    With the development of Big Data applications in Smart Cities, various Big Data applications are proposed within the domain. These are however hard to test and prototype, since such prototyping requires big computing resources. In order to save the effort in building Big Data prototypes for Smart Cities, this paper proposes an enhanced sampling technique to obtain a coreset from Big Data while keeping the features of the Big Data, such as clustering structure and distribution density. In the proposed sampling method, for a given dataset and an ε>0, the method computes an ε-coreset of the dataset. The ε-coreset is then modified to obtain a sample set while ensuring the separation and balance in the set. Furthermore, by considering the representativeness of each sample point, our method can helps to remove noises and outliers. We believe that the coreset-based technique can be used to efficiently prototype and evaluate Big Data applications in the Smart City.

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Mouzhi Ge, S. Chren, B. Rossi, T. Pitner

    Data Quality Management Framework for Smart Grid Systems

    Business Information Systems (BIS 2019), Cham, Switzerland, vol. 354

    2019

    DOI: 10.1007/978-3-030-20482-2_24

    DigitalF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    B. Mbarek, Mouzhi Ge, T. Pitner

    Self-adaptive RFID Authentication for Internet of Things

    Advanced information networking and applications, vol. 926

    2019

    ISBN: 978-3-030-15031-0

    Abstract anzeigen

    With the development of wireless Internet of Things (IoT) devices, Radio frequency identification (RFID) has been used as a promising technology for the proliferation and communication in IoT networks. However, the RFID techniques are usually plagued with security and privacy issues due to the inherent weaknesses of underlying wireless radio communications. Although several RFID authentication mechanisms have been proposed to address the security concerns in RFID, most of them are still vulnerable to some active attacks, especially the jamming attack. This paper therefore proposes a novel self-adaptive authentication mechanism with a robust key updating, in order to tackle the security vulnerabilities of key updating algorithms and their inability to jamming attacks. Furthermore, we assess the performance and applicability of our solution with a thorough simulation by taking into account the energy consumption and authentication failure rate.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    M. Küppers, M. Metzger, Matthias Huber, S. Paulus

    Archetypes of Country Energy Systems

    2019 IEEE Milan PowerTech Conference

    2019

    DOI: 10.1109/PTC.2019.8810765

    Abstract anzeigen

    Global challenges as decarbonization, the integration of renewables or an increasing electrification are confronting countries worldwide. Based on an analysis of different energy system models, archetypes of country energy systems are identified as an approach to simplify modeling the global challenges for most countries around the world. Applying a modified K-means algorithm to a broad and transparent data basis of socio-economic, geographic/climatic and energy-related data leads to the definition of the archetypes. An exemplary clustering of 140 countries generating 15 archetypes underlines the existence of patterns in energy systems, which can e.g. be characterized by the climatic circumstances or the energy mix. Overall the archetypes represent a possibility to summarize countries on a global level, leading to a simplified modeling process of countries in energy system models, providing a common data basis for models and identifying common challenges of different countries.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    O. Walter, Matthias Huber, Kueppers. M., A. Tremel, S. Becker

    Energy system design for deep decarbonization of a sunbelt city by using a hybrid storage approach

    Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019), vol. Vol. 4

    2019

    Abstract anzeigen

    With continuously falling cost of renewable power generation and ambitious decarbonization targets, renewable sources are about to rival fossil fuels for energy supply. For a high share of fluctuating renewable generation, large-scale energy storage is likely to be required. In addition to selling electricity, the reliable supply of heat and cold is a further interesting revenue pool, which makes hybrid storage technologies an interesting option. The main feature of hybrid energy storage – as defined here - is to offer charging and especially discharging in different forms of energy by combining different charging, discharging and storage devices. They can address various demands (e.g. electricity and cold) simultaneously. Two hybrid storages, pumped thermal energy storage (PTES) and power-to-heat-to-x (x: heat and/or electricity) energy storage (PHXES), are investigated based on a techno-economic analysis within this work. Both hybrid storage technologies are charged with electricity and can supply heat and electricity during discharging. They are implemented into a simplified energy system model of a prototype city in the earth’s sunbelt in the year 2030 to find a cost-optimal configuration. Different cases are evaluated: a power-to-power case (P2P), where only an electric demand must be addressed and a power-to-power-and-cooling (P2P&C) case, where the electric demand from the P2P case is divided into a residual electric demand and a cooling demand. For both cases, a natural gas-based benchmark scenario and a decarbonized, renewable-based scenario including the hybrid energy storage technologies are calculated. Both, total expenditures and CO2 emissions are lower in the P2P&C scenarios compared to P2P scenarios. PHXES plays a major role in both cases. PTES is part of the cost-optimal solution in the P2P&C decarb scenario, only if its specific cost are further decreased.

    DigitalNachhaltigF: Europan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    D. Husarek, S. Paulus, Matthias Huber, M. Metzger, S. Niessen

    The Contribution of Carbon- Optimized Battery Electric Vehicle Charging to the Decarbonization of a Multi-Modal Energy System

    3rd E-Mobility Power System Integration Symposium

    2019

    DigitalNachhaltigF: Angewandte WirtschaftswissenschaftenS: TC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    S. Goisser, J. Krause, Michael Fernandes, H. Mempel

    Determination of tomato quality attributes using portable NIR-sensors

    Proceedings of OCM 2019: 4th International Conference on Optical Characterization of Materials (13-14 March, 2019; Karlsruhe), Karlsruhe

    2019

    ISBN: 978-3-7315-0864-9

    DOI: 10.5445/KSP/1000087509

    Abstract anzeigen

    As part of a research project a multidisciplinary approach of different research institutes is followed to investigate the possibility of using a commercially available miniaturized NIR-sensor for the determination of tomato fruit quality parameters in postharvest. Correlation of spectra and tomato reference values of firmness, dry matter and total soluble solids showed good prediction accuracy. Additionally the decline of firmness over storage time with respect to storage temperature of tomatoes could be modelled. Therefore, the decline of firmness as an indicator for shelf-life can be predicted using this portable NIR-Sensor.

    NachhaltigS: TSZ Weißenburg

    Beitrag (Sammelband oder Tagungsband)

    Dmitry Rychkov

    Controlling Trapping Parameters via Polymer Structure and Composition? (Keynote)

    Book of Abstracts of the 17th International Symposium on Electrets (ISE17) 2019 (2-6 September 2019, University of Limerick, Ireland)

    2019

    Abstract anzeigen

    Space-charge electrets are usually fabricated from non-polar polymers. Such materials as polyethylene, polypropylene, polytetrafluoroethylene and its copolymers are used in electret microphones, filters, radiation dosimeters, and different kinds of electromechanical transducers, as well as in biomedical devices [1]. The key factor in all these applications is both thermal and temporal stability of the electret charge. However, the existing materials do not always possess the required level of charge stability. Or, on the other hand, a material may be an excellent electret, but lack in processability, cost efficiency etc. In general, there is a need to be able to control electret properties of commercially available polymer materials used in various electroactive applications. Here we will discuss how changes in chemical composition and structural changes can influence electret charge storage and transport in non-polar polymers.

    NachhaltigS: TSZ Weißenburg

    Beitrag (Sammelband oder Tagungsband)

    Q. Nguyen, Wang, J., Dmitry Rychkov, Gerhard, R.

    Depth Profile and Transport of Positive and Negative Charge in Surface (2-D) and Bulk (3-D) Nanocomposite Films

    Proceedings of the 2nd International Conference on Electrical Materials and Power Equipment Electrical (ICEMPE) [7-10 April 2019; Guangzhou, China]

    2019

    ISBN: 978-1-5386-8434-4

    DOI: 10.1109/ICEMPE.2019.8727256

    Abstract anzeigen

    In the present study, the charge distribution and the charge transport across the thickness of 2- and 3-dimensional polymer nanodielectrics was investigated. Chemically surface-treated polypropylene (PP) films and low-density polyethylene nanocomposite films with 3 wt % of magnesium oxide (LDPE/MgO) served as examples of 2-D and 3-D nanodielectrics, respectively. Surface charges were deposited onto the non-metallized surfaces of the one-side metallized polymer films and found to broaden and to thus enter the bulk of the films upon thermal stimulation at suitable elevated temperatures. The resulting space-charge profiles in the thickness direction were probed by means of Piezoelectrically-generated Pressure Steps (PPSs). It was observed that the chemical surface treatment of PP which led to the formation of nano-structures or the use of bulk nanoparticles from LDPE/MgO nanocomposites enhance charge trapping on or in the respective polymer films and also reduce charge transport inside the respective samples.

    NachhaltigF: Elektrotechnik und MedientechnikI: IQMA

    Beitrag (Sammelband oder Tagungsband)

    Christoph Metzke, Günther Benstetter

    Thermische Charakterisierung ultradünner Schichten

    Forschungsbericht 2018/2019 der Technischen Hochschule Deggendorf, Deggendorf

    2019