Professor Humberto Bustince Public University of Navarra
Applications of interval-valued fuzzy sets to decision making, classification and image processing
ABSTRACT: Since Zadeh first presented the concept of fuzzy set (or type I fuzzy set) in 1965, different types of fuzzy sets have been defined. They have provided different theoretical approaches to the handling of uncertainty. However, in the applied field, it is not always shown that the results obtained with them are better than those obtained with type I fuzzy sets. This consideration leads skeptics about these sets to argue as follows: when we use new types of sets, we have almost always to handle more information but the improvement in the results is not proportional to the amount of information that we use. In my opinion, the problem stated in the last item arises from the difficulty to build the best fuzzy set for a given application we are working in. However, in recent years, the development of new techniques to build intervals in order to represent uncertainty and the introduction of a method to build admissible linear orders between intervals by means of aggregation functions have led to the development of applications where the use of interval-valued fuzzy sets provides better results than those obtained with fuzzy sets. We should remark that in the papers where this improvement is shown a comparison to the best fuzzy techniques for the considered problem is always carried out. In particular, I will present the new results obtained using interval-valued fuzzy sets in the following problems:
Classification problems. The presented proposal allows outperforming two state-of-the-art fuzzy classifiers, namely, the FARC-HD method and the FURIA algorithm.
Image processing. The adaptation of Huang and Wang algorithm to the interval-valued fuzzy setting has allowed proving that for some regions in ultrasound images segmentation is better than the one obtained with the same algorithm making use only of type I fuzzy sets.
Decision Making. The theoretical developments about the construction of new admissible orders for intervals have allowed us to show that in decision making problems it is always necessary to use different orders and arrive at the choice of the best alternative by means of consensus techniques.
Humberto Bustince received his Bs. C. degree on Physics from the Salamanca University, Spain, in 1983 and his Ph.D. degree in Mathematics from the Public University of Navarra, Pamplona, Spain, in 1994. He has been a teacher at the Public University of Navarra since 1991, and he is currently a Full Professor with the Department of Automatics and Computation. He served as subdirector of the Technical School for Industrial Engineering and Telecommunications from 01/01/2003 to 30/10/2008 and he was involved in the implantation of Computer Science courses at the Public University of Navarra. He is currently involved in teaching artificial intelligence for students of computer sciences.
Dr. Bustince has authored more than 100 journal papers (Web of Knowledge), and more than 120 contributions to international conferences. He has also been co-author of four books on fuzzy theory and extensions of fuzzy sets.
Professor Sanaz Mostaghim University of Magdeburg
Swarm Intelligence: from theory to application in technical systems
ABSTRACT: Swarm intelligence is a collective behavior of simple individuals with simple rules, which are only able to communicate within their local neighborhood. In nature, swarm intelligent systems are known to be flexible, robust against failures and adaptive to the changes of the environment. These properties motivate us to employ such nature-inspired concepts in technical systems and particularly in robotics. This talk gives an overview about the theory of swarm intelligence in the area of dynamical systems and provides several concepts for the design of stable swarm robotics systems. Stability in swarm robotics will be used to achieve a certain pattern formation, which is then extended to swarm aggregation in unknown environments. An application of these concepts using a swarm of flying robots (FINken-II) will be illustrated.
Sanaz Mostaghim is a full professor of computer science at the Otto von Guericke University Magdeburg, Germany. She holds a PhD degree (2004) in electrical engineering and computer science from the University of Paderborn, Germany. She worked as a postdoctoral fellow at ETH Zurich in Switzerland and as a lecturer at Karlsruhe Institute of technology (KIT), Germany. Her research interests are in the area of swarm intelligence, evolutionary multi-objective optimisation and their applications in robotics, science and industry. She is an active member in several German and international societies such as IEEE and GI. Sanaz is the chair of women in computational intelligence at IEEE Computational Intelligence Society (CIS). Furthermore, she is the chair of two IEEE CIS task forces on evolutionary multi-objective optimization and optimization methods in bioinformatics and bioengineering. She serves as an associate editor for IEEE Transactions on evolutionary computation and IEEE Transactions on cybernetics.
Professor Simon Watson Loughborough University
Intelligent Health Monitoring for Wind Turbine Asset Management
ABSTRACT: Wind power is making a significant contribution to low carbon electricity generation throughout the world with 370GW installed by the end of 2014. In the UK, wind energy is contributing almost 10% of our electricity and is set to grow in the years ahead despite political uncertainties. Much of the future growth will come from offshore wind farms. Offshore turbines operate in very hostile environments where access for maintenance is quite restrictive. This means that maintenance strategies need to be well informed by intelligent health monitoring systems. This talk will review the methods which are being developed to provide this intelligence looking at the sensors and data analysis required to provide operators and maintenance crews the information they need to provide proactive and predictive condition monitoring for wind turbines. There will be a discussion which includes the monitoring of turbine drive trains by dedicated sensors as well as analysis of the large amounts of Supervisory Control and Data Acquisition (SCADA) information that is routinely collected during plant operation. The talk will conclude with a look at how close we are to an ideal condition monitoring system and what still remains to be done.
Simon Watson is Professor of Wind Energy at the Centre for Renewable Energy Systems Technology in the School of Electronic, Electrical and Systems Engineering at Loughborough University. He did a degree in Physics at Imperial College and a PhD in nuclear physics at the University of Edinburgh. He then moved into the field of renewable energy, first working as a Research Associate at the STFC Rutherford Appleton Laboratory in the Energy Research Unit before moving into the commercial green electricity market working for what is now known as Good Energy. He moved to Loughborough University in 2001 and became a professor in 2010.
He has now been working in the field of wind energy for almost 25 years and his main areas of research include wind resource assessment, wind turbine condition monitoring and wind turbine wake modelling. He has led a number of research council, EU and government department funded projects in the area of wind energy with significant industrial involvement. Recent projects include the EU WAUDIT ITN consortium in the area of benchmarking models and methods related to wind resource assessment and the EU AWESOME ITN consortium researching into optimum wind farm management and operation strategies. Prof Watson has been a board member of the European Renewable Energy Research Centres Agency (EUREC), represents Loughborough University in the European Academy for Wind Energy and is a member of the Research Advisory Group of the UK Offshore Renewable Energy Catapult.
Dr Ahmed Aldabbagh Ofcom
Current and Future Perspectives on Communications
ABSTRACT: The communication sector is unique in the fact that it is fundamentally underpinned by innovation, which fuels competition and drives cost down. The key note speech will highlight some of the challenges and opportunities that the sector is likely to face as the world moves forward into the future.
Ahmed is a charted engineer with 20 years of experience in resilient wired/wireless RF/optical IP network-of-networks and security. He has worked on a number of multi-organisation projects within regulatory, commercial, public safety and defence environments.
Ahmed joined Ofcom in 2011 as a senior technology adviser, leading projects with a mixture of technical, economics and legal components, which cover a range of topics including IP technologies; fixed and mobile networks; future services; multi-media; interoperability of content and content distribution.
Ahmed obtained a PhD from the University of Leeds (UK) in the area of secure wireless communications for commercial, civil and mil- itary environments. He has published a number of papers in inter- national journals and conferences. He is a Chartered Engineer of the Institution of Engineering and Technology (UK).