Embedded Fuzzy Logic Control System for Refrigerated Display Cabinets

Tutuncu, Kemal; Özcan, Recai

doi:10.1007/s13369-019-03892-w

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…Full-fledged bank-card sized computers are the core of the majority of the reviewed papers presenting low-cost data acquisition system. Examples of these microcontrollers are Arduino Uno [121], Arduino MEGA [136], Arduino Due [192], Arduino Nano [127], Raspberry Pi [137], Orange Pi [193], STM32F7 [194], ESP8266 [195], Thikerforge Bricklet [98], GR-SAKURA [174], Beaglebone [196], PIC16F873 [162], PIC18F4620 [197], PIC18F458 [141], and PIC18F45K50 [188]. Considering the aim of the metering system to be established, the options provided by the microcontroller, nature of the experiment, and the processing capacity of the microcontroller, a user can choose the most adequate microcontroller.…”

Section: Studying Microcontrollers and Communication Protocols In Literaturementioning

confidence: 99%

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

et al. 2021

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In recent years, many scholars have dedicated their research to the development of low-cost sensors for monitoring of various parameters. Despite their high number of applications, the state of the art related to low-cost sensors in building monitoring has not been addressed. To fill this gap, this article presents a systematic review, following well-established methodology, to analyze the state of the art in two aspects of structural and indoor parameters of buildings, in the SCOPUS database. This analysis allows to illustrate the potential uses of low-cost sensors in the building sector and addresses the scholars the preferred communication protocols and the most common microcontrollers for installation of low-cost monitoring systems. In addition, special attention is paid to describe different areas of the two mentioned fields of building monitoring and the most crucial parameters to be monitored in buildings. Finally, the deficiencies in line with limited number of studies carried out in various fields of building monitoring are overviewed and a series of parameters that ought to be studied in the future are proposed.

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Section: Studying Microcontrollers and Communication Protocols In Literaturementioning

confidence: 99%

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

et al. 2021

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Deep learning controller design of embedded control system for maglev train via deep belief network algorithm

Gao

Sun

Luo

et al. 2020

Des Autom Embed Syst

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Experimental and numerical study of heat transfer and flow characteristics with different placement of the multi-deck display cabinet in supermarket

et al. 2021

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This work focuses on the heat transfer and flow characteristics with the different placement of the multi-deck display cabinet and tries to optimize the placement position of refrigerated display cabinet. First, the temperature distribution in a refrigerated display cabinet was experimentally investigated. The result showed that the food temperature in front is 3.6–4.8°C higher than back row of the same layer, and temperature fluctuation of 0.3–0.7°C less than the back row. Then, a three-dimensional numerical model of the display cabinet was established, and the k–ε model is employed to compare and analyze the heat transfer and air curtain characteristics. The results show that the placement methods have great influence on the performance of the display cabinet. The face-to-back placement method can acquire a better food refrigeration performance, and the food temperature of the face-to-back placement method is 0.3–0.5°C lower than that of the face-to-face placement method.

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Embedded Fuzzy Logic Control System for Refrigerated Display Cabinets

Cited by 3 publications

References 38 publications

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

Deep learning controller design of embedded control system for maglev train via deep belief network algorithm

Experimental and numerical study of heat transfer and flow characteristics with different placement of the multi-deck display cabinet in supermarket

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