Roboter im Weltraum

Dr. Roland Brockers | 01.06.2016 | 18:00 Uhr | Lakeside B11, Raum Leibniz
Vortrag zusammen mit Gerhard Paar siehe http://kiss.aau.at/

 

Kurzfassung

Kameras sind ein wesentlicher Bestandteil von fast jedem unbemannten Raumschiff, welches für die Weltraumforschung verwendet wird. Da ein Bild mehr als tausend Worte sagen kann, sind wir überwältigt von Bildern, die uns Weltraum-Teleskope, Planeten-Orbiter, oder Roboter zur Erforschung von unbekannten Himmelskörpern senden. Bilder und Videos bieten eine so reiche Quelle an Informationen, dass sie mit Unterstützung von Bildverarbeitungsmethoden für verschiedene Missionen in der Vergangenheit erfolgreich genutzt wurden. Während Bilddaten von Orbiter verwendet werden, um ganze Planeten abzubilden und zukünftige Oberflächen-Missionen zu planen, haben Planeten-Landefahrzeuge Bilddaten für die Evaluierung einer sicherer Landezone verwendet. Autonome Fahrzeuge wie der Mars Rover verwendeten Bildverarbeitungsmethoden für die autonome Navigation. In diesem Vortrag werden wir erforschen, wie Bildverarbeitung von verschiedenen Weltraummissionen eingesetzt wurden und einen Blick darauf werfen, wie der Bedarf an Autonomie bei künftigen Missionen die Anwendung von Bildverarbeitung die Weltraumforschung erweitern wird.

BrockersDr. Roland Brockers ist ein Mitglied der Mobility and Robotic Systems Section am Jet Propulsion Laboratory in Pasadena, Kalifornien. Er erwarb seinen Doktortitel in Elektrotechnik an der Universität Paderborn in Deutschland im Jahr 2005. Mit mehr als 16 Jahren Erfahrung in Forschung und Entwicklung in der visuellen, autonomen Navigation von unbemannten Systemen konzentriert sich seine Arbeit derzeit auf unbemannte Luftfahrzeuge. Roland Brockers war in den letzten 6 Jahre als Projektleiter bei mehreren Projekten mit Mikroluftfahrzeugen am JPL beteiligt, einschließlich an autonomen Landungen, visuelle Lagebestimmung, autonome Hindernisvermeidung und der Einsatz von UAVs in verschiedenen Forschungsanwendungen, wie z. B. Ökosystem Monitoring in Precision Farming-Szenarien.

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Stellenausschreibungen – Salomon Automation GmbH

Salomon_Automation_GmbHSALOMON AUTOMATION, ein Unternehmen der SSI SCHÄFER Gruppe, ist führender Anbieter von Logistiksoftware und Logistiksystemen für den Handel, die Konsumgüterindustrie und das Transportwesen.

Wir wachsen weiter und suchen zur Verstärkung unserer erfolgreichen Teams:

  • Logistik Berater (m/w) [PDF]
  • Software Engineer (m/w) [PDF]
  • Senior Software Entwickler (m/w) [PDF]
  • Simulationstechniker (m/w) [PDF]
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Business Impact Analysen auf Basis der Auswertung von Architekturinformationen durch neuronale Netzwerke

Alexander Beck | 02.06.2016 | 08:30 Uhr | E.2.37

Kurzfassung

Einen neuen Ansatz stellt die Analyse von Bedrohungsszenarien mit ganzheitlichem Blick auf IT-Infrastrukturen dar. Allerdings ist die Schutzbedarfs- oder Auswirkungsanalyse ein proaktiver Blick in die Zukunft, wo welche Bedrohungen zu erwarten sind. Eine Betrachtung der Auswirkungen auf Geschäftsprozesse wie sie typischerweise durch Business Impact Analysen angefertigt werden, ist nicht inbegriffen. (Wo kommen wir her). So stellt die Einbeziehung der unterschiedlichsten Architekturschichten einer IT-Infrastruktur eine sinnvolle Ergänzung dar, so dass die Frage nach dem richtigen Fokus möglicher Handlungsfelder sich von einem potentiellen Angriffsvektor weg, hin zu einem Kritikalitätsgrad hinsichtlich der Geschäftsprozesse wandelt. (Was wollen wir verändern). Die Frage die sich dabei stellt, wie können die umfangreichen Architekturinformationen in ausreichendem Maße beschrieben und analysiert werden, um solch eine Geschäftsprozessanalyse für einen eingetretenen Schadensfall zu ermöglichen. (Was ist das Ziel). Der Vortrag bietet einen Überblick über damit einhergehende Herausforderungen und stellt eine Diskussionsgrundlage für weitere Ansätze zu dieser Problematik dar. (Wo stehen wir, Erwartungshaltung)

beckAlexander Beck ist seit 2011 bei der Volkswagen AG tätig. Zuvor studierte er Informatik an Hochschule Harz und Otto-von-Guericke-Universität Magdeburg unter anderem mit den Schwerpunkten Datenintensive Systeme und Sicherheit. Im Rahmen seiner Dissertation erforscht er Verfahren zur automatisierten Sicherheitsbewertung von komplexen heterogenen IT-Infrastrukturen auf Basis neuronaler Netze. Beruflich war er mehrere Jahre in der Informationssicherheit im Volkswagen Konzern tätig und beschäftigte sich mit den Themen Authentifizierung und Verschlüsselung. Aktuell arbeitet er im Bereich IT Projekt- und Programmmanagement der Volkwagen Financial Services AG  und verantwortet IT Projekte im In- und Ausland.

 

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Modeling of photovoltaic systems using Matlab: simplified green codes

Tamer Khatib | 17.05.2016 | 16:00 Uhr | B04 L4.1.114

Abstract: This book presents simplified coded models for photovoltaic (PV)-based systems using MATLAB to help readers understand the dynamic behavior of these systems. Through the use of MATLAB, the reader has the ability to modify system configuration, parameters, and optimization criteria. Topics covered include energy sources, storage, and power electronic devices. The book contains six chapters that cover systems’ components from the solar source to the end user. Chapter 1 discusses modeling of the solar source, and Chapter 2 discusses modeling of the PV source. Chapter 3 focuses on modeling of PV systems’ power electronic features and auxiliary power sources. Modeling of PV systems’ energy flow is examined in Chapter 4, while Chapter 5 discusses PV systems in electrical power systems. Chapter 6 presents an application of PV system models in systems’ size optimization. Common control methodologies applied to these systems are also modeled in this book.

  • Covers the basic models of the whole PV power system, enabling the reader modify the models to provide different sizing and control methodologies
  • Examines auxiliary components to PV systems, including wind turbines, diesel generators, and pumps
  • Contains examples, drills, and codes Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes is a reference for researchers, students, and engineers who work in the field of renewable energy, and specifically in PV systems.

Biography:
Tamer T.N. Khatib, Biography
Latest update:May,2016

Tamer is a photovoltaic power systems professional. He holds a B.Sc. degree in electrical power systems from An-Najah National University, Palestine as well as a M.Sc. degree and a Ph.D degree in photovoltaic power systems from National University of Malaysia, Malaysia. In addition he holds Habilitation (the highest academic degree in German speaking countries) in Renewable and sustainable energy from Alpen Adria Universität, Klagenfurt, Austria. Currently he is an Assistant professor of renewable energy at An-Najah National University.
So far, he has 2 patents, 3 books and 90 research articles, while  his current h-index is 17. He has lectured 20 courses for undergraduate students, supervised 4 Ph.D researches, 4 master researches and 25 bachelor researches.
He is a senior member of IEEE, IEEE Power and Energy Society, The International Solar Energy society, Jordanian Engineers Association, Palestinian Solar and Sustainable Energy Association and International Association of Engineers.
His research interests mainly fall in the scope of photovoltaic systems and solar energy fundamentals. These interests include PV systems design and optimization, modeling and control of PV systems, hybrid PV/Wind systems, hybrid PV/diesel systems, Grid connected PV systems, sun trackers, MPPT technology, inverters in PV system, solar chargers, batteries and charge controllers, solar energy fundamentals, solar energy prediction, AI applications for solar energy and PV systems, wind power systems, wind chargers, wind energy modeling and prediction.​

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Can you trust what you see? The magic of visual perception

Oge Marques | Distinguished ACM Speaker | Florida Atlantic University (FAU) | May 18, 2016 | 08.30am – 10.00am | E.2.42

Abstract: Vision is our most developed sense and one upon which we rely to make many decisions, conscious or otherwise. Many of our everyday interactions, such as driving a car, greeting familiar faces on the street, or deciding which dish to order at a restaurant, are guided by our visual sense. For the most part, this works well. But sometimes we are reminded of our visual system’s limitations and surprising behavior through optical illusions that exploit misjudgments in size, distance, depth, color and brightness, among many others. This lecture presents and explains a diverse collection of visual perception phenomena that challenge our common knowledge of how well we detect, recognize, compare, measure, interpret, and make decisions upon the information that arrives at our brain through our eyes. It also explains the relationships between the latest developments in human vision research and emerging technologies, such as: self-driving cars, face recognition and other forms of biometrics, and virtual reality. After seeing a large number of examples of optical illusions and other visual phenomena, this talk will make you wonder: can you really trust what you see?

Slides:

OgeBio: Oge Marques is Professor of Computer and Electrical Engineering and Computer Science at Florida Atlantic University (FAU) (Boca Raton, Florida). He has more than 25 years of teaching and research experience in the fields of image processing and computer vision. His research interests are in the area of intelligent processing of visual information, which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception. He is the (co-) author of two patents, more than 100 refereed journal and conference papers, and several books in these topics, including the textbook Practical Image and Video Processing Using MATLAB (Wiley-IEEE Press, 2011). He is Editor-in-Chief (with Borko Furht) of the upcoming 3rd edition of the Encyclopedia of Multimedia (http://encyclopediaofmultimedia.com). He is a senior member of both the ACM and the IEEE and a member of the honor societies of Tau Beta Pi, Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.

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Student-centered teaching patterns in the context of computational thinking problem solving processes

Dr. Bernhard Standl-Gruber | 18.05.2016 | 13:00 Uhr | E.2.37

Abstract

Successful learning can take place when the learner is addressed at all levels of learning instead of limiting teaching to knowledge transfer but also involving an emotional and skills level. Considering this as the student-centered approach, we designed, carried out and revised in practice computer science lessons in 9th grade classrooms. During these real classroom experiences we identified certain successful scenarios when such learning was effective. We subsequently transformed scenarios to a more abstract representation and obtained as a result 24 patterns, which uniformly describe how student-centered lessons in computer science can be carried out. The patterns don’t specify detailed instructions for the teacher but still hold all the information necessary to be coherent with the pedagogical approach in the context of computer science. Instead of providing a detailed description of lesson plans and exact scenarios, the patterns describe how different teaching procedures can be approached alongside the student-centered approach. The advantage of this representation is, that it leaves the freedom of individual implementation to the teacher. In order to prove the concept of the patterns four case studies in classrooms were carried out with the design-based research approach as driving force combined with mixed methods as questionnaires, classroom meetings, and audio recordings. Outcomes showed, that these patterns have impact on students’ perception of the teacher’s attitudes. Furthermore, we identified detailed aspects of students’ communication characteristics during problem solving processes. In a next step, these patterns were further applied during a research visit in the United States in the context of computational thinking problem solving tasks. Assuming that problem solving processes can be found in everyday occurrences, computational thinking problem solving skills affect everyone and should be part of a general knowledge every person should have these days. Therefore, we combined the patterns with computer science algorithms in the context of everyday life settings and designed lesson scenarios for four high school classes. These classroom activities were accompanied with the mixed research approach and case studies. First results of this study showed, that students improved required skills for computational problem solving.

standlBernhard Standl is a postdoctoral researcher and lecturer at the Faculty of Computer Science at the University of Vienna and computer science teacher at a secondary school in Vienna. After graduating from computer science and history studies with teacher certification, he finished in 2014 the PhD studies in computer science education at the University of Vienna in Austria and completed the thesis in the interdisciplinary field of computer science and education. Since 2008 he was part of computer science education and interdisciplinary, international projects. 2015 he stayed as Fulbright research fellow at Missouri State University in Springfield, MO where he carried out an individual research project named coThink – Computational Thinking. His research interests are focused on computer science education and technology enhanced learning at secondary school level and is interested in research for promoting computational thinking aimed at inspiring students for experiencing computer science as an exciting subject.

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Polynomial matrices – a brief overview

Dr. Stephan Alexander Weiss | 25.04.2016 | 11:00 Uhr | B04, L4101

Abstract

Polynomial matrices can help to elegantly formulate many broadband multi-sensor / multi-channel processing problems, and represent a direct extension of well-established narrowband techniques which typically involve eigen- (EVD) and singular value decompositions (SVD) for optimisation. Polynomial matrix decompositions extend the utility of the EVD to polynomial parahermitian matrices, and this talk presents a brief overview of such polynomial matrices, characteristics of the polynomial EVD (PEVD) and iterative algorithms for its solution. The presentation concludes with some surprising results when applying the PEVD to subband coding and broadband beamforming.

WeissStephan Weiss is Head of the Centre for Signal and Image Processing at the University of Strathclyde. He obtained Dipl.-Ing. and PhD degrees in 1995 and 1998 from the Universities of Erlangen-Nuernberg and from the University of Strathclyde. Since then, he has been a member of academic staff at the Universities of Southampton (1999-2006) and Strathclyde (1998/99 and since 2006). With his team we works on adaptive, array and statistical signal processing problems with applications in acoustics & audio, communications and biomedical problems. He has been co-organiser of the European Signal Processing Conference (EUSIPCO) 2009 in Glasgow and a number of other events.

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When less is more: a traceability recovery paradox

Prof. Giuliano Antoniol | 19.04.2016 | 11:00 Uhr | I.2.35

Abstract

The IEEE glossary defines traceability as “the degree to which a relationship can be established between two or more products of the development process.” Traceability underlies many important software and systems engineering activities, such as program understanding, change impact analysis, contractual agreement as well as verification and validation. Despite important research advances in the automated creation and maintenance of trace links, artifact traceability is still not completely understood.

This talk briefly introduces key traceability ideas; the basic information retrieval models and traceability recovery approaches. It briefly summarizes the state of the art in traceability recovery and recent advances. Finally it discusses an on going research effort to determine an optimal and minimal set of candidate links to build a robust traceability recovering recognizer. Surprisingly, it may happen that a system built with just a handful of carefully selected candidate links, outperforms systems built using much more information. The talk presents preliminary results on publicly available datasets and it discuss findings, implications and research directions.

Antoniol_1Giuliano Antoniol is professor of Software Engineering in the Department of Computer and Software Engineering of the Polytechnique Montréal where he directs the SOCCER laboratory. He worked in private companies, research institutions and universities. In 2005 he was awarded the Canada Research Chair Tier I in Software Change and Evolution. He has served in the program, organization and steering committees of numerous IEEE and ACM sponsored international conferences and workshops. His research interest include software evolution, empirical software engineering, software traceability, search based software engineering, mining software repositories and software testing.

 

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Smart Camera Systems

Bernhard Rinner | May 10, 2016 | 18:00 | Seeparkhotel (co-located with mmsys2016.itec.aau.at)

Abstract: Smart cameras combine video sensing, processing, and communication on a single embedded platform. Networks of smart cameras are real-time distributed embedded systems that perform computer vision using multiple cameras. This new approach has emerged thanks to a confluence of simultaneous advances in four key disciplines: computer vision, image sensors, embedded computing, and sensor networks. Recently these networks have gained a lot of interest in research and industry; applications include surveillance, assisted living and smart environments. In this talk I will introduce some fundamentals of the emerging field of smart camera systems, present selected examples and discuss trends and challenges for future systems.

BRinner-Jul2015smBio: Bernhard Rinner is professor at the Alpen-Adria-Universität Klagenfurt, Austria where he is heading the Pervasive Computing group. He is deputy head of the Institute of Networked and Embedded Systems and served as vice dean of the Faculty of Technical Sciences from 2008-2011. Before joining Klagenfurt he was with Graz University of Technology and held research positions at the Department of Computer Sciences at the University of Texas at Austin in 1995 and 1998/99.

His current research interests include embedded computing, sensor networks and pervasive computing.  Bernhard Rinner has been co-founder and general chair of the ACM/IEEE International Conference on Distributed Smart Cameras and has served as chief editor of a special issue on this topic in The Proceedings of the IEEE.  Currently, he is Associate Editor for Ad Hoc Networks Journal and EURASIP Journal on Embedded Systems. Together with partners from four European universities, he has jointly initiated the Erasmus Mundus Joint Doctorate Program on Interactive and Cognitive Environments (ICE). He is member of IEE and IFIP and member of the board of the Austrian Science Fund.

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Mulsemedia = multiple sensorial media = novelty or reinvention?

Gheorghita Ghinea | Brunel University, UK | May 10, 2016 | 19:00 | Seeparkhotel (co-located with mmsys2016.itec.aau.at)

Abstract: Traditionally, multimedia applications have primarily engaged two of the human senses ? the audio and the visual ? out of the five possible. With recent advances in computational technology, it is now possible to talk of applications that engage the other three senses, as well: tactile, olfaction, and gustatory. This integration leads to a paradigm shift away from the old multimedia towards the new mulsemedia : multiple sensorial media. In his talk, Dr. Ghinea is going to focus on the issue of the perceptual experience of mulsemedia and how research in the area has opened new and sometimes challenging opportunities for mulsemedia applications.

Dr. Gheorghita GhineaBio: Dr. Gheorghita Ghinea is a Reader in the School of Information Systems and Computing at Brunel University, United Kingdom. He received the B.Sc. and B.Sc. (Hons) degrees in Computer Science and Mathematics, in 1993 and 1994, respectively, and the M.Sc. degree in Computer Science, in 1996, from the University of the Witwatersrand, Johannesburg, South Africa; he then received the Ph.D. degree in Computer Science from the University of Reading, United Kingdom, in 2000. His research activities lie at the confluence of Computer Science, Media and Psychology. In particular, his work focuses on the area of perceptual multimedia quality and building end-to-end communication systems incorporating user perceptual requirement. He has over 250 publications in leading international conferences and journals; Dr. Ghinea has co-edited two books on Digital Multimedia Perception and Design, and Multiple Sensorial Media Advance and Applications. He leads a team of 8 researchers and consults regularly to both public and private organisations and bodies in his areas of research expertise.

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