A two stages fuzzy logic approach for Internet of Things (IoT) wearable devices

Santamaria, Amilcare Francesco; Raimondo, Pierfrancesco; Rango, Floriano De; Serianni, Abdon

doi:10.1109/pimrc.2016.7794563

Cited by 21 publications

(2 citation statements)

References 11 publications

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“…In the third step, the fuzzy values are again converted and this step is called deffuzification [55]. However, a fourth step of aggregation may also be included [94]. Fuzzy logic is very effective for data mining and processing and is used in optimization problems and adaptive systems [2].…”

Section: Fuzzy-logic Modelingmentioning

confidence: 99%

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

2019

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Popularity of the Internet of things (IoT) is currently on the rise. Academia as well as industry is equally fascinated by this disruptive technology. The IoT research and implementation have succeeded securing their place in numerous domains including, but not limited to, business, transportation and logistics, health care, smart cities, and agriculture. Conceptual modeling is pivotal to the design and implementation of a system. Various modeling approaches have been used for a variety of the IoT applications and case studies. In this paper, we examine various innovative applications of the existing conceptual modeling approaches for the IoT. We analyze the use of these approaches against different concerns in isolation as well as in mutual combination for the IoT. We also define a set of terminologies that we frequently encounter in this manuscript and those likely to be used while adopting proposed modeling approaches for the IoT scenarios. This study also attempts to reconcile different modeling approaches toward a unified modeling system. For this purpose, we map various conceptual modeling approaches against different layers of functional model of the IoT reference architecture. There is also a scenario in the end of the paper which elaborates the use of different modeling approaches in hierarchy for a complex IoT system. INDEX TERMS Agent-based modeling, ambient-oriented modeling, aspect-oriented modeling, conceptual modeling approaches, contract-based modeling, fuzzy-logic modeling, the Internet of Things, network-based modeling, object-based modeling, ontology, service-oriented modeling.

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Section: Fuzzy-logic Modelingmentioning

confidence: 99%

Hierarchical Modeling of Complex Internet of Things Systems Using Conceptual Modeling Approaches

2019

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“…Santamaria, Raimondo, Rango, and Serianni [17] made a study regarding a two stages fuzzy logic approach for Internet of Things. In this study the researchers made a device to monitor or diagnose disease in the medical field.…”

Section: Related Workmentioning

confidence: 99%

The Use of Fuzzy Logic for Online Monitoring of Manufacturing Machine: An Intelligent System

Novilla¹,

Balute²,

Gonzales³

2017

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Internet of Things (IoT) has positioned itself at the front of rapid technological advancements in order to lessen human labor. The concept of making the world smart arises from the basis that “things” can be connected using the Internet. In this paper, the researchers will be describing an effective implementation of an intelligent monitoring system for manufacturing machine unit which is used in industry environment. The propose system design can be installed in manufacturing machines in order to solve management problems, maintenance, shortens the mean time to repair and predict mean time to fail. The researchers have designed a system based on internet of thing for monitoring using the fuzzy logic approach. It consists of monitoring the normal activities of the manufacturing machines in order to build a reference of its condition; then a real-time monitoring and analysis of gathered data from the sensors is accomplished. The status is carried out using a Fuzzy Logic based network. It will give the users the current activity of the manufacturing machine and will also provide information about health status. This system had been incorporated through internet using host, network, Ethernet module, embedded system gateway, sensors, microcontroller unit (MCU) and other components. This paper discusses how monitoring system can be implemented and how the use of cloud computing technology along with IoT devices can be used so that the data collected by these devices can be safely stored, monitored and analyzed.

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