The 43rd Annual Conference of the IEEE Industrial Electronics Society
China National Convention Center, Beijing, China
October 29 - November 1, 2017

Special Session on Cognitive Computing Applications in Industrial Electronics

organized and co-chaired by:

Daswin de Silva d.desilva@latrobe.edu.au
Damminda Alahakoon d.alahakoon@latrobe.edu.au
Wei Peng w.peng@latrobe.edu.au

Call for Papers

The progression of IBM Watson from gameshow fame to perennial problem solving, signifies the untapped potential for cognitive computing in industrial electronics applications. Transition from the programming era, where explicit instructions dictate function within a constrained environment, into the cognitive era, is generally identified by three characteristics; incremental learning from data and insights, hypothesis generation and contextual insight based on learned models. Programmed systems generate deterministic outcomes by processing well-defined structured data. In contrast, cognitive computing systems process and integrate both structured and unstructured data from multiple sources to generate probabilistic outcomes. Thereby, data sourced from multiple systems, regardless structure and format, are learned and optimized to generate a number of potential outcomes with varying degrees of confidence. The provision of a selection of informed outcomes is an unprecedented enrichment of decision-support in industrial applications. For instance, the gradual adaptation of smart cities as cognitive cities indicates the significance of this transition.

Cognitive computing is an emerging field of study. Therefore, it is important to ensure substantial peer-reviewed research outcomes provide a strong foundation for the proliferation and development of this field. To this end, we cordially invite original research articles that focus on cognitive computing theory and applications in Internet of Things (IoT), Big Data, smart energy, industrial electronics, controls, communications and instrumentation.

Topics of the Session
o Research on advances and perspectives in cognitive computing theory development.
o Research on challenges and opportunities for cognitive computing in industrial electronics.
o Design and implementation of cognitive computing applications.
o Use cases, demonstrations and evaluation of cognitive computing applications.
o Systematic literature reviews on the transition of cognitive computing systems.


Author’s schedule:
Deadline for submission of special session papers April 17, 2017
Notification of acceptance July 3, 2017
Deadline for submission of final manuscripts August 15, 2017

All the instructions for paper submission are included in the conference website: www.iecon2017.com