Fuzzy logic for decision-enablement: a novel context-awareness framework for smarter environments

Abstract

Abstract:With the emergence of pioneering technologies and tools in the information and communication technology (ICT) space, our everyday environments (personal, social, professional, etc.) are deeply ICT-enabled to be smarter in their operations and offerings. Smarter healthcare is one shining example. Provisioning real-time and precision-centric healthcare facilities for people especially those who are in disabled, debilitated, and diseased conditions is being made possible with the impressive advancements (the growing array of smart sensors, digitised entities, wearables, robots, controllers, and other disposable and diminutive actuators). The growing variety and volume of connected devices enable remote diagnostics, real-time monitoring, measuring, and management by transmitting various body health parameters for ensuring perfect decision-making and medication. In this paper, we have described an adaptive framework leveraging the pivotal power of fuzzy logic, which is famous for rule-based decision-making, for accelerating the systematic realisation of smarter environments especially for the healthcare segment.Keywords: sensors and actuators; body area networks; BANs; smarter homes; cloud; big data analytics; internet of things; IoT; context-awareness; fuzzy logic.Reference to this paper should be made as follows: Rajaraajeswari, S., Selvarani R., Raj, P. and Mohanavadivu, P. (2017) 'Fuzzy logic for decision-enablement: a novel context-awareness framework for smarter environments', Int. J. High Performance Computing and Networking, Vol. 10, Nos. 1/2, pp.64-77.Biographical notes: S. Rajaraajeswari is working as an Associate Professor in the Department of Computer Applications, Raja Rajeswari College of Engineering, Bangalore, India. She has more than 15 years of teaching and research experience. She has published more than 15 research papers in conferences and journals. Her fields of interests are fuzzy automata, wireless sensor network and cloud computing. Fuzzy logic for decision-enablement: a novel context-awareness framework for smarter environments 65R. Selvarani is working as a Professor and the Head in the Computer Science and Engineering Department, Alliance University, Bangalore, India. She has more than 25 years of teaching and research experience. She has two patents and published more than 50 research papers in conferences and peer-reviewed journals. Her fields of interests are software metrics, wireless sensor network, SOA and cloud computing.Pethuru Raj has been working as an Infrastructure Architect, IBM Global Cloud Center of Excellence, IBM India, Bangalore, India. He has more than 15 years of industrial working experience. He has authored five books and published more than 30 research papers in conferences and peer-reviewed journals. His fields of interests are cloud computing, big data analytics and IoT. P. Mohanavadivu has been working primarily in leading US-based software companies for the last 15+ years. Besides authoring several book chapters for technology books edited by acclaimed...

Experimental evaluation of various modified Smith predictor-based fractional order control design strategies in control of a thermal process with time delay

“…The fuzzy control technique, which has a simple design and robust performance characteristics, has been successfully applied in the control of various systems, particularly those with model uncertainty, unknown disturbance and nonlinear dynamics (Eker and Torun, 2006;Özbek and Efe, 2010). Up to now various applications have been reported (Bai et al, 2016;Rajaraajeswari et al, 2017;Xiao et al, 2017). Recently, the fractional controller has been quite often combined with fuzzy logic (Das et al, 2013;Pan and Das, 2016;Sharma et al, 2016).…”