„Adaptive und Vernetzte Produktionssysteme (Schwerpunkt Informatik)“

14./15. Mai 2018, E 1.42, Hauptgebäude, Südtrakt, Ebene 1

Montag, 14. Mai 2018

09:00 – 10:00: Dr. Klaus Dieter SCHEWE

Title: The CyPHER Model for End-to-End Hybrid Systems Engineering

Abstract: The notion „Industry 4.0“ emphasises a new level for the organisation and control of the complete value added chain stretching over the life cycle of products and their production systems. A key aspect is the integration of the real world and its virtual counterpart concerning models for complex products and for complex, adaptive production processes. This requires the systematic development of concurrent adaptive systems of hybrid dynamic systems (aka cyber-physical systems).

In the talk I will emphasise a model for end-to-end systems engineering comprising structural and behavioural aspects as well as refinement, simulation and verification. Structurally, the model employs block types adopted from conceptual models and constraints that can be both extended to capture integrated continuous and discrete components. Behaviourally, the model is grounded in concurrent hybrid abstract state machines. The model can be used for the systematic step-by-step modelling of products, equipment of processes, thus contributing to a method for „Industry 4.0 by Design“.

11:00 – 12.00: Dr. Jan Olaf BLECH

Title: Spatio-temporal Reasoning and Decision Support for Industrial Automation

Abstract: This talk presents work on cloud-based decision support systems for industrial automation and gives an overview on my related activities in this field such as software/system architecture and formal system descriptions. A focus is on spatio-temporal reasoning and semantic descriptions of system artifacts such as digital twins.

14:00 – 15.00: Dr. Anna FENSEL

Title: Increasing efficiency employing sensors, smart data and user engagement

Abstract: As the integration of the Internet and physical reality increases (e.g. as in the „Internet of Things“), analytical and sensor-based systems and services tend to transform quantitative input into knowledge representations with shared, transparent structures for improved interoperability, as envisioned and practiced on the Semantic Web.On the other hand, efficiency is a key characteristic of production systems, and its implementation requires an easy integration and use of information coming from heterogeneous agents and systems, deriving semantically correct decisions, planning and executing processes, advanced sharing and adaptation capacities supported by semantic rules, and effective end-user engagement. I present these settings and instruments in the application areas of energy efficiency, smart offices and factories, and digital workplaces, and demonstrate their evaluation within real industrial products, real life data and services, and real end users. Further, I outline my perspective on future development of the addressed area, particularly in the directions of cognitive computing and explainable AI.

16:00-17.00: Dr. Hans Georg FILL

Title: Digitization of Future Production Systems Using Enterprise Modeling Methods

Abstract: For the digitization of future production systems, two core aspects need to be aligned. These are a. the requirements issued from the side of management in terms of new, technology-based business models and the life-cycle of value creation, and b. the capabilities and results provided by prospective intelligent, cyber-physical systems and according resources. To achieve this knowledge-intensive alignment, it is reverted to IT-based enterprise modeling methods. These modeling methods permit to integrate the knowledge of all relevant stakeholders for designing innovative production systems using formal and semi-formal semantic structures. In addition, they act as direct interfaces to technical systems, e.g. for configuring autonomous systems, for performing data analysis, or for the execution of simulations. Most recently, the application of such enterprise modeling methods has been described for the simulation of industrial business processes in a research project for agent oriented zero defect multi-stage manufacturing as well as for the design of IT environments for cyber-physical systems in the construction industry.

Dienstag, 15. Mai 2018

09:00 – 10:00: Dr. Martin GEBSER

Titel: Wissensbasierte Methoden für den Entwurf und die Optimierung von Produktionssystemen

Kurzfassung: Universelle Such- und Optimierungsverfahren sind heutzutage in der Lage, reale Anwendungsprobleme mit Hunderttausenden von Variablen und mehreren Millionen Randbedingungen automatisiert zu lösen. Diese enorm hohe Skalierbarkeit ist dem Einsatz von ausgereiften allgemeinen Lösungsalgorithmen in Verbindung mit der Verfügbarkeit von effizienten Implementierungen zu verdanken. Darüber hinaus bilden moderne Methoden der Wissensrepräsentation die Grundlage für die kompakte und transparente Beschreibung der zu lösenden Anwendungsaufgaben. Effektive Werkzeuge für die Modellierung und Verarbeitung von Wissen stellen somit gleichermaßen Grundvoraussetzungen für die flexible Einsatzbarkeit und die allgemeine Akzeptanz von hochautomatisierten Lösungsprozessen dar. Mein Vortrag beschreibt und illustriert die praktische Umsetzung entsprechender wissensbasierter Methoden anhand von komplexen betrieblichen Anwendungen in den Bereichen Logistikmanagement, Personalplanung und Produktionsoptimierung.

11:00 – 12:00: DI DDr. Philipp HUNGERLÄNDER

Titel: Lösung eines Flottenoptimierungsproblems mit strukturierten Zeitfenstern für eine der weltweit größten Supermarktketten

Kurzfassung: Heutzutage bieten alle großen Lebensmittelhändler Online-Shopping-Services an, bei denen die Kundinnen und Kunden auf der Website des Supermarkts die gewünschten Lebensmittel sowie ein passendes Lieferzeitenfenster auswählen. Das Ziel unseres gemeinsamen Forschungsprojekts mit einer der weltweit größten Supermarktketten war es, einen stabilen und schnellen Optimierungsansatz zu entwerfen, der in der Lage ist, effiziente Fahrtrouten für eine große Anzahl von Kundinnen und Kunden und Fahrzeugen in Echtzeit zu bestimmen. Effizientere Touren sparen dabei nicht nur Geld, sondern sie erlauben es auch, zusätzliche Kundinnen und Kunden zu beliefern und bei jeder Bestellung mehr verfügbare Zeitfenster anzuzeigen, was zu einer höheren Kundenzufriedenheit führt. Unser Optimierungsansatz verbesserte die Effizienz der Routen verglichen mit dem vorherigen System der Supermarktkette um fast 10%, wodurch jährliche Kostensenkungen in Millionenhöhe erzielt werden konnten. Konzeption und Planung des zukünftigen Forschungsportfolios: Mein vorrangiges Ziel in diesem Bereich ist es ein anspruchsvolles und zukunftsorientiertes, international sichtbares Forschungsprogramm im Bereich Industrie 4.0 aufzubauen und voranzutreiben sowie den Transfer der Forschungsresultate in die betriebliche Praxis sicherzustellen. Von den in der Ausschreibung genannten methodischen Forschungsschwerpunkten decke ich mit meiner bisherigen Forschung insbesondere jenen des Automated Plannings ab. Allerdings ergaben sich im Rahmen meiner Forschungs- und Lehrtätigkeit auch zahlreiche Berührungspunkte mit den Bereichen Multi Agent Systems, Machine Learning und Autonomous Adaptive Systems. Zur Lösung von in der Praxis auftretenden Forschungsfragen, insbesondere für Problemlösungsansätze in Produktion und Supply-Chain-Netzwerken, ist es meiner Erfahrung nach oftmals erforderlich Ansätze und Methoden verschiedener Bereiche (z.B. Künstliche Intelligenz, heuristische Suchverfahren, Simulationstechniken, neuronale Netzwerke, …) miteinander zu kombinieren und zu integrieren. Daher würde aus meiner Sicht der zu besetzenden Professur auch eine wichtige Funktion als Schnittstelle und Bindeglied zwischen den bereits an der AAU (insbesondere natürlich an der technischen Fakultät) und an der TU Graz etablierten relevanten Forschungsschwerpunkten und den involvierten Industriepartnern zukommen.

Rositsa Radoeva, PhD | May 22, 2018 | 10 am | L.1.0.14

Abstract

The talk focuses on virtual and augmented reality technologies and examines various devices and technologies in the field of three-dimensional visualization and different applications of these technologies. The author presents a software for 3D interactive visualization, supporting disassembly and assembly processes of specialized equipment that have been developed by the VR-Team. Also, it will give a look at the development process of the presented software.

CV

Rositsa Radoeva is Assistant Professor at the Dept. of Computer Systems and Technologies of the Faculty of Mathematics and Informatics (FMI) at University of Veliko Tarnovo “St. Cyril and St. Methodius”. She obtained her PhD in Informatics at the Dept. of Computer Systems and Technologies, FMI at University of Veliko Tarnovo “St. Cyril and St. Methodius” in 2016. Since 2013 she is affiliated with the Dept. of Computer systems and technologies, FMI at University of Veliko Tarnovo “St. Cyril and St. Methodius”. Currently she is involved in research in the field of three-dimensional visualization, virtual and augmented reality. Since 2017, she is a part of the “VR-Team” – a team for the development of virtual and mixed reality software solutions.

Univ.-Prof. Dr. Matthias Fuchs | May 4, 2018 | 10 am | E.2.42

Abstract

A knowledge infrastructure which has recently been implemented at the leading Swedish mountain tourism destination, Åre is presented. By applying a Business Intelligence approach, the Destination Management Information System Åre (DMIS-Åre) drives knowledge creation and application as a precondition for organizational learning at tourism destinations. After having introduced the development process of indicators measuring destination performance as well as customer behavior and experience, the presentation highlights core aspects of destination data warehousing and how DMIS-Åre can be used by tourism managers to gain new knowledge about customer-based destination processes, like “Web-Navigation”, “Booking” and “Feedback”, respectively.

Bio

Matthias Fuchs, Ph.D. is Full Professor of Tourism Management & Economics at the Department of Tourism Studies and Geography, Mid-Sweden University, Östersund, Sweden. His research includes electronic-tourism (mobile services, e-business readiness and impact, online auctions, business intelligence and big-data), destination branding, and tourism economic impact analysis. Matthias is associate-editor of the Journal of Information Technology & Tourism. He serves on the editorial-board of the Journal of Travel Research, Annals of Tourism Research, Tourism Analysis, and the Journal of Hospitality & Tourism Management. Matthias is board member of IFITT (International Federation for Information Technology and Travel & Tourism) and chaired the research track at ENTER Conference in 2012. In 2018, Matthias was the overall chair of the ENTER@Jönköping, Sweden. Website:
https://www.miun.se/en/personnel/MatthiasFuchs/

Prof. Tõnis Mets | April 24, 2018 | 10 am | K.0.01

Abstract

Estonia has enjoyed success stories in ICT implementation in a broad field of public and private sectors for last 15-20 years. The key event for that development was the launching of the Tiger Leap program in Estonian schools, 1996. The program fully equipped schools with computers and Internet access and other ICT services. Computer science classes were provided in 84% of schools in the following eight years. Since 2014 World Economic Forum considered Estonia among innovation-driven knowledge-based societies, and some years later – being hidden entrepreneurship champion in Europe. Besides, Estonia has become one of the developed start-up ecosystems where young ICT companies are booming.

These events mentioned above refer to the successful combination of educational and entrepreneurial ecosystems in Estonia. The presentation aims to disclose the role of ICT start-ups as the engine of the innovation-driven development in a small society. Case studies analyse the entrepreneurial process and journey of ICT start-ups suggesting dynamic stage model approach. This approach discloses complexity of the entrepreneurial journey from opportunity recognition to venture launch. Findings of studies show growing importance of digital technology, ICT start-ups and the entrepreneurial ecosystem in the welfare of Estonian citizens.

Bio

Tõnis Mets is Professor of Entrepreneurship at the University of Tartu in Estonia. He was Marie Curie Research Fellow at the Australian Centre for Entrepreneurship Research at the Queensland University of Technology in Brisbane, Australia 2014-2016. Also, Professor Mets is a founder of five companies, sold three of them. He has worked as a management consultant in his company (ALO OÜ), and as an entrepreneur, engineer, and manager in various high-tech companies in Estonia. Tõnis graduated from the Tallinn University of Technology. He also holds a Ph.D. in Technical Sciences from St Petersburg Agrarian University. Professor Mets is author and co-author of 15 patents, and more than 50 chapters and articles with international publishers. His main research interests are in the fields of (technology) entrepreneurship, intellectual property, and knowledge and innovation management.

Dr.-Ing. Mathias Wien, RWTH Aachen University | May 14, 2018 | 16:00 | E.2.42

Abstract: In October 2017, ISO/IEC JCT1 SC29/WG11 MPEG and ITU-T SG16/Q6 VCEG have jointly published a Call for Proposals on Video Compression with Capability beyond HEVC and its current extensions. It is targeting at a new generation of video compression technology that has substantially higher compression capability than the existing HEVC standard. The responses to the call are evaluated in April 2018, forming the kick-off for a new standardization activity in the Joint Video Experts Team (JVET) of VCEG and MPEG, with a target of finalization by the end of the year 2020. Three categories of video are addressed: Standard dynamic range video (SDR), high dynamic range video (HDR), and 360° video. While SDR and HDR cover variants of conventional video to be displayed e.g. on a suitable TV screen at very high resolution (UHD), the 360° category targets at videos capturing a full-degree surround view of the scene. This enables an immersive video experience with the possibility to look around in the rendered scene, e.g. when viewed using a head-mounted display. This application triggers various technical challenges which need to be addressed in terms of compression, encoding, transport, and rendering. The talk summarizes the current state of the complete standardization project. Focussing on the SDR and 360° video categories, it highlights the development of selected coding tools compared to the state of the art. Representative examples of the new technological challenges as well as corresponding proposed solutions are presented.

Bio: Mathias Wien received the Diploma and Dr.-Ing. degrees from RWTH Aachen University, Germany, in 1997 and 2004, respectively. He currently works as a senior research scientist, head of administration, and lecturer, at the Institute of Communication Engineering of RWTH Aachen University, Germany. His research interests include image and video processing, immersive, space-frequency adaptive and scalable video compression, and robust video transmission. With respect to standardization, Mathias has contributed to ITU-T VCEG, ISO/IEC MPEG, as well as their collaborative teams, the Joint Video Experts Team, the Joint Collaborative Team on Video Coding (JCT-VC), and the Joint Video Team (JVT), in the standardization work towards the successor of HEVC, HEVC, and AVC, respectively. In standardization, he has co-chaired and coordinated several AdHoc groups as well as tool- and core experiments. He has authored and co-authored more than 60 conference and journal papers in the area of video coding,  as well as 18 granted patents. He has published the Springer textbook “High Efficiency Video Coding: Coding Tools and Specification”, which fully covers Version 1 of HEVC. Mathias is a member of the IEEE Signal Processing Society and the IEEE Circuits and Systems Society.

Links:

• Web site
• Google Scholar

Massimiliano Di Penta | April 4, 2018 | 13:30 | E 2.42

Abstract: The availability of a wide variety of software repositories, ranging from Questions and Answer forums to mailing lists, forges and issue trackers opens the road for building recommender systems aimed at supporting developers in their activities. Upon evaluating such recommenders, in most cases researchers focus on the underlying approach capability of providing accurate and complete results.
In this seminar I will report our experience in evaluating recommenders, showing that an offline evaluation of the approach precision and recall is only a very preliminary starting point. Importantly, different kinds of evaluations having different size and level of control, and above all involving humans, are required to achieve results able to convince practitioners of the actual usefulness and applicability of a tool. Moreover, I will discuss how context plays a paramount role in the empirical evaluation of recommender systems.

Bio: Massimiliano Di Penta is associate professor at the University of Sannio, Italy. His research interests include software maintenance and evolution, mining software repositories, empirical software engineering, search-based software engineering, and testing. He is author of over 250 papers appeared in international journals, conferences and workshops, and received various awards for his research and reviewing activity, including two most influential paper awards (SANER 2017 and GECCO 2015) and three ACM SIGSOFT Distinguished Paper Awards (ICSE, FSE and ASE). He serves and has served in the organizing and program committees of over 100 conferences such as ICSE, FSE, ASE, ICSME, ICST, MSR, SANER, ICPC, GECCO, WCRE, and others. He is currently member of the steering committee of ICSME, MSR, and PROMISE. Previously, he has been steering committee member of other conferences, including ICPC, SSBSE, CSMR, SCAM, and WCRE. He is in the editorial board of ACM Transactions on Software Engineering and Methodology, the Empirical Software Engineering Journal edited by Springer, and of the Journal of Software: Evolution and Processes edited by Wiley. He has served the editorial board of IEEE Transactions on Software Engineering.

Links:

• Web site
• Google Scholar

The review of the TEWI colloquia of Csaba Szabó from February 7, 2018 comprises the slides.

Slides:

Ing. Csaba Szabó PhD. | February 7, 2018 | 10 am | L1.0.14

Abstract

Like with Bio products, the world is developing to become a more nature-aware ecosystem. The green initiative defines two main goals: reduce energy consumption and use basic natural sources in electrical energy production.

This lecture focuses on energy consumption of working software and its development processes, where each development phase plays a significant role. Considering any software development process, the energy is being consumed while problem analysis, constructing and evaluating the code as well. Software or hardware tools have to be used to implement energy consumption monitoring for software run at the top of selected operating systems and for evaluation of the energy consumption. Usual usage scenarios are to monitor energy usage of selected software. We will also look at the possibility to use these tools to measure how green is the process that produced the programs.

CV

Csaba SZABÓ is Assistant Professor at the Dept. of Computers and Informatics of the Fac. of Electrical Engineering and Informatics (FEEaI) at Technical University of Kosice. He graduated (MSc.) with distinction at the Dept. of Computers and Informatics of the Fac. of Electrical Engineering and Informatics (FEEaI) at Technical University of Kosice in 2003. He obtained his PhD. in Program- and Information Systems at the FEEaI at Technical University of Kosice in 2007. Since 2006 he is affiliated with the Dept. of Computers and Informatics, FEEaI, Technical University of Kosice. Currently he is involved in research in the field of behavioral description of software, information systems and web services, software and test evolution, and testing and evaluation of software.

He is a member of the John von Neumann Computer Society (NJSZT, Hungary) and the Slovak Society for Applied Cybernetics and Informatics (SSAKI). Currently he is also leading the ERASMUS+ KA203 – Strategic partnership for higher education project No. 2017-1-SK01-KA203-035402: „Focusing Education on Composability, Comprehensibility and Correctness of Working Software“.

The review of the TEWI colloquia ofDr. Marko Tkalčič from December 21, 2017 comprises the slides.

Slides:

Abstract

The talk will cover the research carried out by the author in the domain of psychologically-driven personalized systems. In order to be truly personalized a system needs to understand the user. Current systems employ data-driven models, such as recommendations based on past ratings, clicks or purchases. However, psychologically-grounded models appear to have potential for better personalized systems. The author will cover models of emotions and personality, the unobtrusive acquisition thereof through social media crawling, video processing and machine learning and their use in personalization algorithms.

Bio

Marko Tkalčič is Assistant Professor at the Faculty of Computer Science at the Free University in Bolzano, Italy. He received his PhD from the Faculty of Electrical Engineering at the University of Ljubljana in 2011. After a postdoc at the University of Ljubljana, he worked as a postdoc at the Johannes Kepler University in Linz, Austria from 2013 to 2015. From 2016 he is with the Free University of Bolzano. His research explores ways in which psychologically-motivated user characteristics, such as emotions and personality, can be used to improve personalized systems. It employs methods such as user studies and machine learning.

Dr. Tkalčič has published in prestigious journals, such as Elsevier Information Sciences and Springer UMUAI. He has presented at venues, such as RecSys and UMAP. Recently he edited the book Emotions and Personality in Personalized Systems with Springer. He is active in organizing conferences (RecSys 2017, UMAP 2017) and workshops (EMPIRE, SOAP, HUMANIZE), editing special issues, and reviewing for prestigious journals, conferences and grant bodies. He is a member of the editorial board of the UMUAI journal.

Dr. Marko Tkalčič | December 21, 2017 | 3 pm | E.1.05

Abstract

The talk will cover the research carried out by the author in the domain of psychologically-driven personalized systems. In order to be truly personalized a system needs to understand the user. Current systems employ data-driven models, such as recommendations based on past ratings, clicks or purchases. However, psychologically-grounded models appear to have potential for better personalized systems. The author will cover models of emotions and personality, the unobtrusive acquisition thereof through social media crawling, video processing and machine learning and their use in personalization algorithms.

Bio

Marko Tkalčič is Assistant Professor at the Faculty of Computer Science at the Free University in Bolzano, Italy. He received his PhD from the Faculty of Electrical Engineering at the University of Ljubljana in 2011. After a postdoc at the University of Ljubljana, he worked as a postdoc at the Johannes Kepler University in Linz, Austria from 2013 to 2015. From 2016 he is with the Free University of Bolzano. His research explores ways in which psychologically-motivated user characteristics, such as emotions and personality, can be used to improve personalized systems. It employs methods such as user studies and machine learning.

Dr. Tkalčič has published in prestigious journals, such as Elsevier Information Sciences and Springer UMUAI. He has presented at venues, such as RecSys and UMAP. Recently he edited the book Emotions and Personality in Personalized Systems with Springer. He is active in organizing conferences (RecSys 2017, UMAP 2017) and workshops (EMPIRE, SOAP, HUMANIZE), editing special issues, and reviewing for prestigious journals, conferences and grant bodies. He is a member of the editorial board of the UMUAI journal.