DigitalMobilF: Elektrotechnik und MedientechnikI: Institut ProtectITBeitrag (Sammelband oder Tagungsband)
Michael Heigl, Martin Schramm, D. Fiala
A Lightweight Quantum-Safe Security Concept for Wireless Sensor Network Communication
Proceedings of the IEEE Annual International Conference on Pervasive Computing and Communications Workshops (March 11-15, 2019; Kyoto, Japan)
2019
ISBN: 978-1-5386-9150-2
DOI: 10.1109/PERCOMW.2019.8730749
Abstract anzeigen
The ubiquitous internetworking of devices in all areas of life is boosted by various trends for instance the Internet of Things. Promising technologies that can be used for such future environments come from Wireless Sensor Networks. It ensures connectivity between distributed, tiny and simple sensor nodes as well as sensor nodes and base stations in order to monitor physical or environmental conditions such as vibrations, temperature or motion. Security plays an increasingly important role in the coming decades in which attacking strategies are becoming more and more sophisticated. Contemporary cryptographic mechanisms face a great threat from quantum computers in the near future and together with Intrusion Detection Systems are hardly applicable on sensors due to strict resource constraints. Thus, in this work a future-proof lightweight and resource-aware security concept for sensor networks with a processing stage permeated filtering mechanism is proposed. A special focus in the concepts evaluation lies on the novel Magic Number filter to mitigate a special kind of Denial-of-Service attack performed on CC1350 LaunchPad ARM Cortex-M3 microcontroller boards.
MobilF: Elektrotechnik und MedientechnikS: TC FreyungZeitschriftenartikel
Raphaela Pagany, Anna Marquardt, Roland Zink
Electric Charging Demand Location Model—A User- and Destination-Based Locating Approach for Electric Vehicle Charging Stations
Sustainability, vol. 11, no. 8
2019
DOI: 10.3390/su11082301
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In recent years, with the increased focus on climate protection, electric vehicles (EVs) have become a relevant alternative to conventional motorized vehicles. Even though the market share of EVs is still comparatively low, there are ongoing considerations for integrating EVs in transportation systems. Along with pushing EV sales numbers, the installation of charging infrastructure is necessary. This paper presents a user- and destination-based approach for locating charging stations (CSs) for EVs—the electric charging demand location (ECDL) model. With regard to the daily activities of potential EV users, potential positions for CSs are derived on a micro-location level in public and semipublic spaces using geographic information systems (GIS). Depending on the vehicle users’ dwell times and visiting frequencies at potential points of interest (POIs), the charging demand at such locations is calculated. The model is mainly based on a survey analyzing the average time spent per daily activity, regional data about driver and vehicle ownership numbers, and the georeferenced localization of regularly visited POIs. Optimal sites for parking and charging EVs within the POIs neighborhood are selected based on walking distance calculations, including spatial neighborhood effects, such as the density of POIs. In a case study in southeastern Germany, the model identifies concrete places with the highest overall demand for CSs, resulting in an extensive coverage of the electric energy demand while considering as many destinations within the acceptable walking distance threshold as possible.
DigitalMobilF: Elektrotechnik und MedientechnikI: Institut ProtectITZeitschriftenartikel
Michael Heigl, Laurin Dörr, Nicolas Tiefnig, D. Fiala, Martin Schramm
A Resource-Preserving Self-Regulating Uncoupled MAC Algorithm to be Applied in Incident Detection
Computers & Security, vol. 85, no. August, pp. 270-285
2019
DOI: 10.1016/j.cose.2019.05.010
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The connectivity of embedded systems is increasing accompanied with thriving technology such as Internet of Things/Everything (IoT/E), Connected Cars, Smart Cities, Industry 4.0, 5G or Software-Defined Everything. Apart from the benefits of these trends, the continuous networking offers hackers a broad spectrum of attack vectors. The identification of attacks or unknown behavior through Intrusion Detection Systems (IDS) has established itself as a conducive and mandatory mechanism apart from the protection by cryptographic schemes in a holistic security eco-system. In systems where resources are valuable goods and stand in contrast to the ever increasing amount of network traffic, sampling has become a useful utility in order to detect malicious activities on a manageable amount of data. In this work an algorithm – Uncoupled MAC – is presented which secures network communication through a cryptographic scheme by uncoupled Message Authentication Codes (MAC) but as a side effect also provides IDS functionality producing alarms based on the violation of Uncoupled MAC values. Through a novel self-regulation extension, the algorithm adapts it’s sampling parameters based on the detection of malicious actions. The evaluation in a virtualized environment clearly shows that the detection rate increases over runtime for different attack scenarios. Those even cover scenarios in which intelligent attackers try to exploit the downsides of sampling.
DigitalMobilF: Europan Campus Rottal-InnBeitrag (Sammelband oder Tagungsband)
V. Dürr, P. Arena, H. Cruse, Ch.J. Dallmann, A. Drimus, T. Hoinville, T. Krause, Stefan Mátéfi-Tempfli, J. Paskarbeit, L. Patane, M. Schilling, J. Schmitz, R. Strauss, A. Vitanza, A. Schneider
Integrative Biomimetics of Autonomous Hexapedal Locomotion
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) [November 3-8, 2019; Macau, China]
2019
Abstract anzeigen
Despite substantial advances in many different fields of neurorobotics in general, and biomimetic robots in particular, a key challenge is the integration of concepts: to collate and combine research on disparate and conceptually disjunct research areas in the neurosciences and engineering sciences. We claim that the development of suitable robotic integration platforms is of particular relevance to make such integration of concepts work in practice. Here, we provide an example for a hexapod robotic integration platform for autonomous locomotion. In a sequence of six focus sections dealing with aspects of intelligent, embodied motor control in insects and multipedal robots—ranging from compliant actuation, distributed proprioception and control of multiple legs, the formation of internal representations to the use of an internal body model—we introduce the walking robot HECTOR as a research platform for integrative biomimetics of hexapedal locomotion. Owing to its 18 highly sensorized, compliant actuators, light-weight exoskeleton, distributed and expandable hardware architecture, and an appropriate dynamic simulation framework, HECTOR offers many opportunities to integrate research effort across biomimetics research on actuation, sensory-motor feedback, inter-leg coordination, and cognitive abilities such as motion planning and learning of its own body size.
MobilF: Angewandte Naturwissenschaften und WirtschaftsingenieurwesenZeitschriftenartikel
C. Tilk, Michael Drexl, S. Irnich
Nested Branch-and-Price-and-Cut for Vehicle Routing Problems with Multiple Resource Interdependencies
European Journal of Operational Research, vol. 276, no. 2, pp. 549-565
2019
DOI: 10.1016/j.ejor.2019.01.041
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This paper considers vehicle routing problems (VRPs) with multiple resource interdependencies and addresses the development and computational evaluation of an exact branch-and-price-and-cut algorithm for their solution. An interdependency between two resources means that the two resource consumptions influence one another in such a way that a tradeoff exists between them. This impacts the feasibility and/or the cost of a solution.
The subproblem in branch-and-price-and-cut procedures for VRPs is very often a variant of the shortest-path problem with resource constraints (SPPRC). For the exact solution of many SPPRC variants, dynamic-programming based labeling algorithms are predominant. The tradeoffs in problems with multiple resource interdependencies, however, render the application of labeling algorithms unpromising. This is because complex data structures for managing the tradeoff curves are necessary and only weak dominance criteria are possible, so that the labeling algorithm becomes almost a pure enumeration. Therefore, we propose to solve also the SPPRC subproblem with branch-and-price-and-cut. This results in a two-level, nested branch-and-price-and-cut algorithm. We analyze different variants of the algorithm to enable the exchange of columns and also rows between the different levels.
To demonstrate the computational viability of our approach, we perform computational experiments on a prototypical VRP with time windows, minimal and maximal delivery quantities for each customer, a customer-dependent profit paid for each demand unit delivered, and temporal synchronization constraints between some pairs of customers. In this problem, tradeoffs exist between cost and load and between cost and time.
MobilF: Elektrotechnik und MedientechnikS: TC FreyungZeitschriftenartikel
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
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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.
DigitalMobilI: Zentrum für Akademische WeiterbildungP: DEG-DLM2Zeitschriftenartikel
Andreas Gegenfurtner, Nina Schwab, Christian Ebner
"There's no need to drive from A to B": Exploring the lived experience of students and lecturers with digital learning in higher education
Bavarian Journal of Applied Sciences, vol. 4, no. 1, pp. 310-322
2018
DOI: 10.25929/bjas.v4i1.50
Abstract anzeigen
In vielen ländlichen Regionen weltweit nehmen Menschen den Bus oder das Auto, um zu Städten zu gelangen, in denen Bildungsangebote und Trainingsprogramme angeboten werden. In einer Zeit wachsender Digitalisierung werden Lernumgebungen und Weiterbildungen jedoch zunehmend auf Online-Plattformen zugänglich gemacht. Studierende haben so Zugang zu digitalem Lernmaterial oder können an technologiebasierten Veranstaltungen von jedem Ort weltweit partizipieren. Diese wachsende ubiquitäre Verfügbarkeit von Bildung ‒ zusammen mit einer geographischen Flexibilität, die Blended Learning in Form von LernCentern, Webkonferenzen und virtuellen Kursen ermöglicht ‒ reduziert die Notwendigkeit von (Auto-)Mobilität in vielen ländlichen Regionen. Der Zweck dieser Studie war, die Erfahrungen von nichttraditionellen Studierenden und deren Dozierenden hinsichtlich reduzierter mobiler Anforderungen zu explorieren. Basierend auf Gibsons Theory of Affordances und einem
Forschungsinteresse in der narrativen Interpretation lebensumweltlicher Erfahrung berichtet die Studie qualitative Analysen von reflexivem Interviewmaterial, das beschreibt, wie Teilnehmende und Dozierende die flexiblen, ubiquitär verfügbaren, synchron und asynchron angebotenen Weiterbildungsangebote wahrnehmen. Implikationen der Studie werden diskutiert hinsichtlich Theorieentwicklung und der praktischen Implementierung digitaler Bildung für nicht-traditionelle Studierende in ländlichen Regionen.
MobilF: Europan Campus Rottal-InnBeitrag (Sammelband oder Tagungsband)
Katerina Volchek, H. Song, R. Law, D. Buhalis
Forecasting London Museum Visitors Using Google Trends Data
Proceedings of the ENTER2018 eTourism Conference
2018
Abstract anzeigen
Information search is an indicator of tourist interest in a specificservice and potential purchase decision. User online search patterns are a well-known toolfor forecasting pre-trip consumerbehaviour, such as hotel demand and international tourist arrivals. However, the potential of search engine data for estimating thedemand for tourist attractions, which is created both before and during a trip, remains underexplored. This research note investigates the relationships between Google search queries for the most popular London museums and actual visits to theseattractions. Preliminary findings indicatehigh correlation between monthly series data. Search query data isexpected togenerate reliable forecasts ofvisits toLondon museums.
MobilF: Angewandte WirtschaftswissenschaftenVortrag
Melanie Hazod
Perspectives of railway stations of rail passenger transport in rural areas: Spatial effectiveness of additional businesses in the model region Eastern Bavaria
4. Jahreskonferenz des Netzwerks INDIGO (Internet und Digitalisierung Ostbayern), Deggendorf
2018
DigitalMobilF: Europan Campus Rottal-InnZeitschriftenartikel
de Oliveira Hansen, R. M. D., M. Mátéfi-Tempfli, R. Safonovs, J. Adam, S. Chemnitz, T. Reimer, B. Wagner, W. Benecke, Stefan Mátéfi-Tempfli
Magnetic films for electromagnetic actuation in MEMS switches
Microsystem Technologies, vol. 24, no. 4, pp. 1987-1994
2018
DOI: 10.1007/s00542-017-3595-2
Abstract anzeigen
This paper investigates the fabrication of magnetic films via electroplating to be applied into electromagnetic actuated micro electro-mechanical systems (MEMS) switches. Cobalt and nickel films (1 µm thicknesses) were deposited on gold coated silicon substrates via electrochemical deposition. Different deposition conditions were investigated, regarding temperature and deposition voltage. The films morphologies were characterized via atomic force microscopy, while the magnetic properties of the films were characterized via vibrating sample magnetometer measurements. In order to evaluate the integration of these magnetic films into MEMS switches with low energy consumption, a mathematical model was developed and the results show that these films can be applied into efficient actuation with reduced power dissipation.
MobilF: Angewandte WirtschaftswissenschaftenS: TC GrafenauZeitschriftenartikel
Mohammed Alnahhal, Diane Ahrens
A Simulation-Based System for Calculating Optimal Numbers of Forklift Drivers in Industrial Plants
Bavarian Journal of Applied Sciences, vol. 4, no. 1, pp. 354-369
2018
DOI: 10.25929/bjas.v4i1.53
Abstract anzeigen
Dieser Artikel beschreibt eine Optimierungsmethode für ein Materialtransportsystem von Gabelstaplern mittels Warteschlangentheorie und Simulation. Ziel ist es, verschiedene Arten von Verschwendung bei den Kapazitätskosten, verspäteten Arbeitsaufträgen und Transportkosten zu reduzieren. Es wird eine gewisse ITInfrastruktur angenommen, wie etwa die Verwendung von Monitoren, um die aktuellen Arbeitsaufträge von verschiedenen Arbeitsplätzen anzuzeigen. Mathematische Gleichungen werden benutzt, um anfängliche obere und untere Grenzen für die benötigten Kapazitätsniveaus zu finden. Danach wird eine Simulation für verschiedene Kapazitätsniveaus innerhalb des Bereichs der theoretischen Ergebnisse durchgeführt, um die genau benötigte Mannzeit für verschiedene Jobsequenzierungsstrategien zu finden. Mit Hilfe der Statistiksoftware R wird ein Tool erstellt, welches Unternehmen für verschiedene Parameter Ergebnisse liefert. Diese Ergebnisse zeigen die Auswirkungen der Verwendung von Batching, unter Berücksichtigung der Begrenzung des Zeilenseitenraums und der Reduzierung der Leerfahrtstrategie für Leistungsmessungen. Die Strategie, das Leerfahren zu reduzieren, indem nach dem nächsten Arbeitsplatz gesucht wird, der einen Auftrag benötigt, ist nicht so effizient, da es die benötigte Kapazität erhöht. Dies liegt daran, dass es die Variabilität der Wartezeit vergrößert und somit den Prozentsatz der verspäteten Bestellungen steigert.
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