A database-centric approach for the modeling, simulation and control of cyber-physical systems in the factory of the future

IFAC-PapersOnLine

Volumn 49, Issue 12, 2016, Pages 249-254

  Bonci, Andrea ^a   Pirani, Massimiliano ^a   Longhi, Sauro ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

Computational methods; Database management systems; Distributed computer control systems; Embedded systems; Industry automation; Intelligent manufacturing systems; Simulators

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; COMPUTER CONTROL SYSTEMS; CYBER PHYSICAL SYSTEM; DATABASE SYSTEMS; EMBEDDED SYSTEMS; FACTORY AUTOMATION; MANAGEMENT INFORMATION SYSTEMS; MANUFACTURE; REAL TIME CONTROL; SIMULATORS;

CONTROL AND AUTOMATION; CYBER PHYSICAL SYSTEMS (CPSS); DISTRIBUTED COMPUTER CONTROL SYSTEMS; INDUSTRIAL AUTOMATION; INDUSTRY AUTOMATION; INTELLIGENT MANUFACTURING SYSTEM; PRACTICAL EXPERIENCE; RAPID PROTOTYPING TOOL;

DISTRIBUTED DATABASE SYSTEMS;

EID: 84992371702     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2016.07.608     Document Type: Conference Paper

References (25)

1. AlAmri, A. (2012). The relational database layout to store ontology knowledge base. Information Retrieval & Knowledge Man. (CAMP), 2012 Int. Conf. on, pp.74,81.
2. Al-Fuqaha, A.; Guizani, M; Mohammadi, M; Aledhari, M.; Ayyash, M. (2015). Internet of Things: A Survey on Enabling Technologies, Protocols and Applications. Communications Surveys & Tutorials, IEEE.
3. Beckman K., Dedi O. (2015), sDDS: a portable data distribution service implementation for WSN and IoT platforms. IEEE WISES 2015, Proc. Of 12th Int. Workshop on Intelligent Solutions in Embedded Systems, Oct. 29-30, 2015, pp. 115-120.
4. Bhatia, P., Khurana, N., Sharma, N., Intuitive Approach to Use Intelligent Database for Prediction. Int. J. of Computer Applications 83:5 (2013), 36–40.
5. Bonci, A., Imbrescia, S., Pirani, M. Ratini, P. (2014), Rapid prototyping of open source ordinary differential equations solver in distributed embedded control application. Mechatronic and Embedded Systems and Applications IEEE/ASME 10th Int. Conf. on, pp. 1-6.
6. CAFE project, EU FP7-KBBE, g.a. 212754 (2008). Deliverable. D.8.6, "The integrated system and the software main frame".
7. Codd, E. F. (1990). The Relational Model for Database Management: Version 2. Addison-Wesley Longman Publishing Co., Boston, MA, USA.
8. Darwen, H. (2012). An Introduction to Relational Database Theory, Ventus, 2012. Available: http://bookboon.com).
9. Date, CJ, Lorentzos, N., Darwen, H, Time and relational theory: temporal databases in the relational model and SQL., 2014, Morgan Kaufmann.
10. De Morais, W.O., Lundstrom, J., Wickstrom, N., Active in-database processing to support ambient assisted living system. Sensors 14:8 (2014), 14–785.
11. He, W., Xu, L. D. (2014). Integration of Distributed Enterprise Applications: A Survey. IEEE Trans. Ind. Informat, vol.10, no.l, pp.35,42.
12. Inductive Automation white paper (2012). SQL: The Next Big Thing in SCAD A, How SQL is Redefining SCAD A. Available: www. inductiveautomation. com.
13. Jeon, S.M., Gitae K. (2016) A survey of simulation modeling techniques in production planning and control (PPC). Production Planning & Control, pp. 1,18.
14. Jia, Z., Iannucci, B., Hennessy, M., Xiao, S., Kumar, S., Pfeffer, D., Aljedia, B., Ren, Y., Griss, M., Rosenberg, S., Cao, J., Rowe, A., Sensor Data as a Service ~ A Federated Platform for Mobile Data-centric Service Development and Sharing. Services Computing (SCC), 2013 IEEE Int. Conf. on, 2013, 446–453.
15. Latronico, E., Lee, E.A., Lohstroh, M., Shaver, C, Wasicek, A., Weber, M., A Vision of Swarmlets. Internet Computing, IEEE 19:2 (2015), 20–28.
16. Lee, E. A. (2015). The Past, Present and Future of Cyber-Physical Systems: A Focus on Models. Sensors, vol 15, no. 3: pp. 4837-4869, 2015.
17. Leitao, P., Marik,V., Vrba, P. (2013). Past, Present, and Future of Industrial Agent Applications. Industrial Informatics, IEEE Trans., vol.9, no.4, pp.2360,2372.
18. Leitao, P., Barbosa J., Papadopoulou, M.-E.C, Venieris, I. S. (2015). Standardization in cyber-physical systems: The ARUM case. Industrial Tech. (ICIT), 2015 IEEE Int. Conf, pp. 2988,2993, Mar 2015.
19. Locke, D. (2010). Mq telemetry transport v3. 1 protocol, specification. IBM developer Works Technical Library.
20. Mahnke, W., Leitner, S., Damm, M. (2009). OPC Unified Architecture.
21. Nickel M., Murphy K., Tresp V., Gabrilovich E. (2016). A Review of Relational Machine Learning for Knowledge Graphs. Proc. of the IEEE, vol.104, no.l, pp. 11,33.
22. Rajhans, A., Bhave, A.; Ruchkin, I.;Krogh, B.H.;Garlan, D.; Platzer,A.;Schmerl, B. (2014). Supporting Heterogeneity in Cyber-Physical Systems Architectures. Automatic Control, IEEE Trans, on, vol.59, no. 12, pp.3178,3193.
23. Schuldt, H. (2008). Agent and Databases: A Symbiosis ?. Cooperative Information Agents XII, 12th International Workshop, September 10-12, CIA 2008, Prague.
24. Stiel F., Michel T., Teuteberg F., Enhancing manufacturing and transportation decision support systems with LCA add-ins. J. of'Cleaner Production, vol. 110, pp.85,89.
25. Yang, S., Khot T, Kersting K., Natarajan S. (2016). Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. Proceedings of the 30th AAA1Conference on Artificial Intelligence.