Updated submission deadline 5th February, 2015.
ABSTRACTIndustry is experiencing worldwide the beginning of a new era of innovation and change. Sensors, actuators, supervision and control elements are increasingly endowed with autonomy, flexibility, communication capability and interoperability. The new generation of devices, which is capable of data collection and processing, has been gradually incorporated into several levels of the industrial production chain. The synergy of these physical and computational elements forms the base for a profound transformation of the global industry with a perspective of a dramatic increase of productivity and reliability, and significant benefits for the society. Within this new scenario, the availability of a large amount of high dimensional data reveals itself as a dilemma for the induction of data models. On the one hand, there is an expectation that a greater ability of sampling might improve performance and reliability. Nevertheless, the reality is that most current methods and models are not able to deal with problems of such high dimension and volume. Many current problems involve terabytes of data with hundreds of variables and dimensions that tend to rise continuously if the expected industrial growth rate in the sector is maintained. Prognostics are for an exponential growth of the data storage capacity in the worldwide network of devices during the next years. In addition to the increased internal connectivity of the industry, an improved integration and enhanced synergy with consumer markets and inputs through networking appears to be an inevitable path. Current trend suggests worldwide industry will highly demand data models and processing capabilities to handle time-varying, massive and high dimensional data. This is where Big Data in Smart Industry problems become relevant, and it is crucial that academia and industry are prepared from scientific and technological points of view to face the new challenges.
TOPICS:We would like to encourage the submission of papers within the general scope of the Special Session (Big data in Smart Industry) in the following topics:
- Modeling of large datasets
- Dimensionality reduction of very large datasets
- Learning from large industrial datasets
- Data analysis and visualization
- Online modeling, optimization, and autonomous control of industrial processes
- Embedded intelligence in cyber-physical systems
- Computational intelligence for smart energy management
- Data stream processing for water, transportation, agriculture, and sustainability
- Internet of things and smart resources management
- Data-driven optimization and control of dynamical systems
- Cyber-physical system units (CPSU) with embedded autonomy
- Data acquisition and storage in distributed industrial environments
ORGANIZERS:Antônio Pádua Braga
Federal University of Minas Gerais, Brazil
University of Campinas, Brazil
SUBMISSION & IMPORTANT DATESSpecial session papers will undergo the same review process as regular papers and follow the same schedule of the conference. Paper submission should be done directly to IJCNN submissions page found at http://ijcnn.org. Be sure to set the "Main research topic" to your special session. The special sessions are found at the bottom of the list.
Paper submission deadline : February 5, 2015
Paper decision notification: March 15, 2015
Camera-ready submission: April 15, 2015