The Application of Cognitive IoT for Smart Manufacturing
Mehamed Ahmed Abdurahman1, Chirag Patel2

1Mehamed Ahmed Abdurahman, PhD Student (Research Scholar), FoET, Department of CSE, Parul IET, Parul University, Waghodiya, Vadodara, Limda, Gujarat, India.
2Chirag Patel, Associate professor & Head, CE department, Parul Institute of Technology, Parul University, Limda, Waghodiya, Vadodara-391760, Gujarat, India.
Manuscript received on December 12, 2019. | Revised Manuscript received on December 21, 2019. | Manuscript published on January 10, 2020. | PP: 788-792 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8528019320/2020©BEIESP | DOI: 10.35940/ijitee.C8528.019320
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Abstract: In recent times, novel paradigms based on cognitive manufacturing services are evolving. This paradigm shift is conveyed by integrating manufacturing assets with the latest and enhanced methods and technologies. However, today’s manufacturing systems are facing various challenges, that is the researcher believed that existing technologies and tools specifically, IoT, existing learning techniques and learning systems, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart manufacturing developments. In Light of this assessing the advances in manufacturing sectors was the major goal of this work and to identify the cuuent issues and challenches in manufacturing systems being Cognitive and or smart Afterward, we assessed the research challenges and open issues and facilitate knowledge accumulation in efficiently in the applications of Cognitive Internet of Things (CIoT) for smart manufacturing systems. 
Keywords: CIoT, Cognitive Methods and Model, Internet of Things, Smart Manufacturing,.
Scope of the Article:  IoT