Special Sessions

To enhance the technical program and focus on specific topics and areas, INDIN'2014 will include special sessions, in addition to regular ones. Special sessions can cover subjects or cross-subjects belonging to the topics of interest, or novel topics related with the ones identified within the topics of interest. Special sessions can also have the drive from specific R&D projects or clusters of projects, namely EU-sponsored R&D projects.

If you are interested in organizing a special session, please contact Special Sessions Co-Chairs, Paulo Leitao (pleitao@ipb.pt), Valeriy Vyatkin (valeriy.vyatkin@ltu.se), Jose L. Martinez Lastra (jose.lastra@tut.fi), Leandro Buss Becker (leandro.becker@ufsc.br).

The proposal for a special session should include title of the session, names and contact addresses of the organizers (these persons must attend the conference), technical outline of the session (50 words) and topics, and names/contact addresses of the potential reviewers and/or contributing authors.

Please use the following template for submitting your proposal: Template Submission procedure and review process for special session papers will be as for regular papers.

Special Session on Industrial Agents and Self-Organisation/Self-Adaptation
Special Session Organizers:
Paulo Leitão, Polytechnic Institute of Bragança (pleitao@ipb.pt)
José Barata, Universidade Nova de Lisboa (jab@uninova.pt)
Luís Ribeiro, Linköping University (luis.ribeiro@liu.se)
Franz Rammig, Universität Paderborn (franz@upb.de)

Technical Outline and Topics:
The prevalence of ICT and cyber-physical systems are imposing very strong requirements, demanding personalized/customized products and solutions, that integrate intelligence and are able to handle tasks delegated by the owners. This implies for instance shorter delivery times and shorter life-cycles, forcing companies to adapt their processes by having flexible, reconfigurable production plants. As a consequence future industrial production systems depend on a high degree of flexibility and adaptability. The same is true for many products as well. They are deployed into rapidly changing environments and therefor need to be designed for flexibility and adaptability. Recent research directions towards self-adapting and self-organizing IT systems pave the way towards the intended flexibility.
The agent technology, and in its background the agent orientation, is a promising approach to address this current challenge, introducing an alternative way to design management and control systems based on the decentralization of functions over distributed autonomous and cooperative entities. Some preliminary results show that agent technology is highly promising in realizing flexible, self-adapting, and robust industrial applications in a number of application domains such as manufacturing, energy systems, logistics and smart cities.
On the other hand, and in direct relation with the multi-agent approach, Self-organization and Emergence are elusive concepts in the manufacturing domain yet in recent years they have gained a considerable traction since they promote an elegant and often simple way of building highly complex and robust systems. They also require a different mindset that often defies the conventional way of conceiving, deploying and managing manufacturing systems.
This special session intends to contribute for stimulating the discussion of ideas, concepts, techniques, technologies and projects, based on the application of distributed paradigms, namely agent technology, in the development of modular, self-adapting, and robust industrial systems. Particular attention may be given to the industrial applications of such systems.
Topics of interest include, but are not limited to:
·      Intelligent and cooperative cyber-physical systems.
·      Vision and roadmaps for industrial agents.
·      Engineering methodologies, techniques and technologies and the changes caused by them within traditional engineering processes.
·      Self-* properties in application domains e.g. factory automation and smart grids.
·      Adaptable Real-time systems
·      Real-time operating systems for rapidly changing environments
·      On-line quality assurance
·      Standardization and best practices in industrial settings.
·      Infrastructures, services and testbeds for industrial agents.
·      Lessons learned from real-world use-cases.
·      Concepts, Models and Architectures to support Self-* properties and Emergence in a mechatronic context.
·      Bio-inspired concepts for self-* and emergence in a mechatronic context.
·      Emerging Business Models for Self-Organizing manufacturing systems.
·      Service-oriented approaches , Self-adaptation as On-the-Fly service
·      Assessment and Validation methodologies for distributed mechatronic systems.
Special Session on Advances in Spare Parts Management
Special Session Organizers:
Bernd Hellingrath, University of Münster, Germany, Bernd.hellingrath@wi.uni-muenster.de
Carlos Eduardo Pereira, Universidade Federal do Rio Grande do Sul, Brazil, cpereira@ece.ufrgs.br
Technical Outline and Topics:
The development and application of Intelligent Maintenance Systems is continuously growing in research and industry. These systems enable the collection of status data across numerous machines, which in turn can be analyzed using modern data analytics methods in order to forecast machines failures with a higher quality and to detect new failure patterns. This analysis results prove to be a valuable input to spare parts management systems by improving the planning and control of the spare parts supply chain. This special session should serve as a discussion forum for scientist, practitioners, technology developers and particularly industrial users of Intelligent Maintenance Systems and Spare Parts Management Systems in production, who intend to present and let evaluate their latest research and development results.
Topics of this session include, but are not limited to:
-       Advances in Intelligent Maintenance Systems
-       Forecasting techniques of spare parts demand based on IMS data
-       Application of data analytics in spare parts management
-       Improved planning and control of the spare parts supply chain
Special Session on Service-based Life Cycle Assessment and Engineering Methods for industrial cyber-physical based manufacturing systems and consumer products

Special Session Organizers:
Jose Barata, jab@uninova.pt
Kevin Nagorny, nagorny@atb-bremen.de
Armando W. Colombo, awcolombo@technik-emden.de
Technical Outline and Topics:
We are still at the dawn of an era where complex distributed systems will further blurthe fabric of business and physical worlds. Distributed and networked Monitoring, Control, Diagnosis and other Supervisory Control functions as services embedded in smart devices and heterogeneous systems will be of key importance for any real-world application. The virtualization of those real-world applications that is supported by applying the Cyber-Physical technologies like Service-oriented Architecture, Cloud Computing and the Cloud Manufacturing paradigms, among others, allows that the systems will be able to handle the upcoming heterogeneous large-scale infrastructures and support evolvable architectures, management and control of emergent behaviors, etc. The steadily increasing implementation of these paradigms and concepts will generate new possibilities for effective collaborative design techniques of product-services (Meta Products) and their production processes in different sectors (automotive, home appliances, automation equipment etc.). Ambient Intelligence (AmI) technologies and Lean and Eco-design principles will apply Life Cycle Assessment techniques which will involve all the actors of a value chain, within a product ecosystem, allowing manufacturers to strengthen their competitiveness at the global market e.g. with new eco-innovative Meta Products which generates a minimal environmental footprint along the overall Life Cycle. Large and widely distributed automation systems are composed of a complex set of multi-disciplinary, heterogeneous, networked components and systems. They may link a wide variety of sensors/actuators, whole control, monitoring, supervisory control systems – performing SCADA and DCS functions – and up to MES and ERP systems – performing operational and strategic management functions. Service orientation as well as large-scale distribution and virtualization of functions will become the basis for innovative technical approaches at all automation levels and new business concepts in the automation industry associated to product-services (Meta Products) and their production processes indifferent industrial end-user sectors. Topics of interest include methods, techniques, concepts, architectures and technologies in the following directions:
-     Architectures and technologies for next generation distributed cyber-physical oriented automation systems
-        Large scale industrial systems monitoring, management and control implemented with cyber-physical technologies
-        Service Oriented Architectures for future automation systems
-        Collaborative Eco-Innovating Design Methodologies and Tools
-        Collaborative environments for cross-sectorial design of Meta Products and their production processes
-        Knowledge management
-        Ambient Intelligence (AmI) technologies
-        Migration and integration strategies from today’s automation systems to cyber-physical service oriented ones addressing all levels of automation systems
-        Virtualization techniques and concepts applied to automation architectures associated to product-services (Meta Products) and their production processes in different industrial end-user sectors
-        Complex Cyber-Physical System aspects in future industrial automation
-        Merging Cloud Computing and Cyber-Physical Systems technologies for Life Cycle Assessment and Engineering
Special Session on Industrial Applications for Internet-of-Things Technology
Special Session Organizers:
KF Tsang, City University of Hong Kong, ee330015@cityu.edu.hk
GP Hancke, City University of Hong Kong, gp.hancke@cityu.edu.hk
Technical Outline and Topics:
The Internet-of-Things (IoT) is the concept of connecting all devices and objects onto data networks. This potentially allows for a smarter environment where devices can make intelligent decisions on gathering data or performing required actions.
This special session is interested in how IoT technology could improve industrial applications – topics of interest include (but are not limited to):

-       IoT architecture for industry (things-centric, data-centric, service-centric)
-       Enabling industrial devices (embedding IoT technology, addressability)
-       Communication and network protocols for industrial IoT
-       Open architectures/platforms/hardware
-       Data management (semantics, reliability, security, analytics)
Special Session on Network Based Control Systems and Applications
Special Session Organizers:
Josep M. Fuertes,  josep.m.fuertes@upc.edu
Qing-Long Han,  q.han@cqu.edu.au
Technical Outline and Topics:
Network-based Control Systems are becoming a major trend in Industrial Electronics control applications and have received much attention in recent years. Using Distributed Network-Based Control Systems has many advantages over conventional control techniques, such as networking capability, modularity, wiring savings, and self-configuration. In addition they allow us to do distributed control and computing, tele-robotics, cost-effective factory automation, among many other critical applications.
This special session aims to examine the state of the art of the Networked-based Control Systems in Industrial Electronics areas.  Topics of interest include, but are not limited to:
-       Distributed Sensing, Estimation, Computation and Control
-       Modeling Issues in Networked Embedded Control Systems
-       Performance Issues and Communication Constraints
-       Worst-Case Execution Time and Quality of Service
-       Task and Message Scheduling for Networked Control Systems
-       Fault-Tolerance in NBCS
-       Distributed Wireless Networks for Control
-       Autonomous Distributed Control Systems
-       Industrial Communication and Control Systems
-       NBCS in Vehicles, Space, Medical, etc. Applications
Special Session on Wireless Communication Systems for Industrial Applications
Special Session Organizers:
 Johan Åkerberg, ABB Corporate Research, Sweden – johan.akerberg@se.abb.com
 Mikael Gidlund, Mid Sweden University, Sweden – mikael.gidlund@miun.se
 Song Han, University of Connecticut, USA – song@engr.uconn.edu
 Stefano Savazzi, National Research Council of Italy (CNR-IEIIT) - stefano.savazzi@ieiit.cnr.it
 Umberto Spagnolini, Politecnico di Milano - Umberto.Spagnolini@polimi.it
Technical Outline and Topics:
This special session on Wireless Communication Systems for Industrial Applications brings together academic and industry professional to a session on the design and application of advanced wireless network technologies that are expected to play a key role for the efficient design of industrial processes. We solicit technical papers describing original ideas, theory, methodology and experiences from the design, implementation and deployment of wireless systems for factory automation. Topics of interest include, but are not limited to:
-       Advanced network architectures and standards for industrial sensor and actuator networks
-       Protocols for reliable and real-time wireless communication
-       Industry-standard network planning methods and management tools
-       Integration and coexistence of heterogeneous wireless networks
-       Wireless sensor and actuator networks performance, simulation, RF measurements, modeling and case studies
-       Control over wireless networks
-       Data analytics in industrial wireless networks
-       Security and safety issues in industrial wireless networks and applications (context awareness, localization in smart workspaces, etc…)

Special Session on Semantic Technologies for Knowledge-based Industrial Applications
Special Session Organizers:
Christoph Legat, Technische Universität München, Institute of Automation and Information Systems, Munich, Germany, legat@ais.mw.tum.de
Stephan Grimm, Siemens AG, Corporate Technology, Munich, Germany, grimm.stephan@siemens.com
Shastri L. Nimmagadda, School of Information Systems, Curtin Business School, Curtin University, WA, Australia, shastri.nimmagadda2011@gmail.com
Technical Outline and Topics:
The semantics of data plays an important role in many industrial application domains. The availability of explicit knowledge models can largely support the representation, categorization, visualization, and interpretation of sensor signals and other data in a contextualized manner, and can facilitate a variety of different knowledge-based industrial applications. Examples are an integrated engineering of automation facilities, enhanced communication of field devices, knowledge-based monitoring and diagnostics systems, managerial and technical decision support in industrial applications domains like production automation, logistics, and petroleum industry. Modeling, mapping and reusing ontologies across multiple disciplines, extracting explicit knowledge from (unstructured) data, applying semantic technologies for facilitating data mining and visualization of knowledge are still open challenges. Although semantics is an upcoming topic in industrial applications, the use of explicit semantic technologies, such as ontologies, inference and reasoning methods and in particular Semantic Web technologies (RDF, OWL, SPARQL) is rather sparse.
This special session aims at bundling the discussion on semantic technologies for knowledge-based industrial applications between scientists and practitioners that is otherwise typically spread across discipline-specific sessions.
Topics include, but are not limited to:
-       Semantic modeling of self-aware systems and devices
-       Logic- and constraint-based validation of plant models
-       Semantic service descriptions for reconfigurable control software
-       Knowledge-based monitoring and diagnostic inference
-       Semantic mediation for field device communication
-       Semantically enhanced plant and product life cycle management
-       Semantic modeling for seamless, multi-disciplinary plant engineering
-       Semantic Technologies for applications in the context of Cyber-Physical Systems, Industry 4.0, Internet of Things, etc.
-       Data Mining methods for deriving semantically annotated information from unstructured data
-       Mapping of knowledge from different domains or disciplines
-       Knowledge-based systems for supporting technical or managerial decisions
-       Visualization of knowledge for supporting industrial applications
-       Case studies and application of Semantic Technologies in industrial applications

Special Session on Human Support Technology on Human Factors
Special Session Organizers:
Prof. Kang-Hyun Jo, (Korea), (IEEE IES TC HF), acejo@ulsan.ac.kr
Prof. Hiroshi HASHIMOTO, (Japan), (IEEE IES TC HF), hashimoto@aiit.ac.jp
Prof. Sho YOKOTA, (Japan), (IEEE IES TC HF), yokota@mec.setsunan.ac.jp
Technical Outline and Topics:
Realization of Human Support Technology to support high quality life requires not only considerations of the human factors including physical and mental characteristics but also a consideration of a relationship between such an individual characteristics and a social background which the individual belongs. In order to realize a truly functioned Human Support Technology, it should be integrated various studies in many human related fields widely: Robotics, Mechatoronics, Sensing, cognitive science, sociology, etc. Moreover the Human Support Technologies have to provide appropriate services with adapting its functions to desired applications or targets. Therefore, the organizers propose a Special Session to discuss some case studies with consideration based on human factors and related topics. The Special Session will focus on the following topics, but the related topics are also welcome.

        - Supporting System
        - Human System Interactions
        - Sensing and Recognition of human motions and Intentions - Adaptive System
        - Industrial Applications
        - Applications of human factors