Development of Weather Monitoring System Based on Raspberry Pi for Technology Rich Classroom

Hu, Yongbin; Huang, Ronghuai

doi:10.1007/978-3-662-44188-6_18

Cited by 7 publications

(3 citation statements)

References 6 publications

(5 reference statements)

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“…We will designate this line as R/W (read/write). Control line is used in the following way: if r/w=1, reading is done, and if opposite is true then writing is done on the memory location [3].…”

Section: Pic Microcontroller Block Diagrammentioning

confidence: 99%

Secured smart ATM transaction

Balamurugan

Kumar

Thirumalai

2019

IJRES

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Section: Pic Microcontroller Block Diagrammentioning

confidence: 99%

Secured smart ATM transaction

Balamurugan

Kumar

Thirumalai

2019

IJRES

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“…Yongbin and Ronghuai et.al [10] created a low cost and portable weather monitoring system for technology rich classroom which is based on raspberry pi. This system allows in the collection, storage and transmission of data.…”

Section: Matec Web Of Conferencesmentioning

confidence: 99%

Measurement of Global Solar Radiation data using Raspberry Pi and its estimation using Genetic Algorithm

et al. 2018

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The demand for more efficient and environmentally benign, non-conventional sources of energy came into picture due to increasing demands for human comforts. Solar energy is now the ultimate option. In this paper, the instruments used to measure the solar radiation at Innovation Centre, MIT Manipal were connected to a Raspberry Pi to access the data remotely. Genetic Algorithms were formulated, so that the monthly mean global solar radiation in Manipal can be effectively estimated. Meteorological data such as humidity, temperature, wind speed, etc. were used as inputs to train the networks. A successful network was made between the data loggers and the Raspberry Pi. The data collected by the data loggers from the devices are transmitted to the Raspberry Pi which in turn sends the data to an internal server. The Raspberry Pi can be accessed using any SSH client such as PuTTY. The meteorological data was collected for the years 2010-2014 in order to formulate the Artificial Intelligence models. The validity of the formulated models were checked by comparing the measured data with the estimated data using tools such as RMSE, correlation coefficient, etc. The modelling of solar radiation using GA was carried out in GeneXpro tools version 5.0.

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“…The sensors were mounted at a height of 1.1 m above the ground. Hu and Huang [201] created a Weather Monitoring System (WMS) for controlling the physical climate within a classroom using a Raspberry Pi. Similarly, Gong et al [202] collected safety data using Wireless Sensor Networks (WSNs) that included a smoke sensor, temperature/humidity sensor, and protection sensor.…”

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confidence: 99%

A Survey of Smart Classroom Literature

2022

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Recently, there has been a substantial amount of research on smart classrooms, encompassing a number of areas, including Information and Communication Technology, Machine Learning, Sensor Networks, Cloud Computing, and Hardware. Smart classroom research has been quickly implemented to enhance education systems, resulting in higher engagement and empowerment of students, educators, and administrators. Despite decades of using emerging technology to improve teaching practices, critics often point out that methods miss adequate theoretical and technical foundations. As a result, there have been a number of conflicting reviews on different perspectives of smart classrooms. For a realistic smart classroom approach, a piecemeal implementation is insufficient. This survey contributes to the current literature by presenting a comprehensive analysis of various disciplines using a standard terminology and taxonomy. This multi-field study reveals new research possibilities and problems that must be tackled in order to integrate interdisciplinary works in a synergic manner. Our analysis shows that smart classroom is a rapidly developing research area that complements a number of emerging technologies. Moreover, this paper also describes the co-occurrence network of technological keywords using VOSviewer for an in-depth analysis.

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Development of Weather Monitoring System Based on Raspberry Pi for Technology Rich Classroom

Cited by 7 publications

References 6 publications

Secured smart ATM transaction

Secured smart ATM transaction

Measurement of Global Solar Radiation data using Raspberry Pi and its estimation using Genetic Algorithm

A Survey of Smart Classroom Literature

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