Sensors Applied in Healthcare Environments

Menomonie,

doi:10.4236/jcc.2016.45015

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…MSN applications can be classified into two categories: monitoring and tracking. Monitor application included indoor / outdoor environment monitoring [32], health and welfare monitoring [33], power monitoring, factory and process automation. Track applications including track objects, animals, humans and vehicles.…”

Section: Multi Sensor Network (Msn)mentioning

confidence: 99%

Environmental Application with Multi Sensor Network

Handayani

Husni²,

Permatasari³

2020

ComEngApp

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This paper aimed to monitor temperature, humidity, and CO gas level using environmental application with multi sensor network (MSN). This system was applied in real life and real time, to be able to obtain data and information through mobile devices and other on internet network. In this research, environmental application is monitored remotely using displays on the web and sensors as device. This research obtained data in outdoor and indoor parking area also with obstacles and without obstacles, so it obtained the results from each of the different environmental conditions.

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Section: Multi Sensor Network (Msn)mentioning

confidence: 99%

Environmental Application with Multi Sensor Network

Handayani

Husni²,

Permatasari³

2020

ComEngApp

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“…Aplikasi MSN dapat diklasifikasikan menjadi dua kategori: pemantauan dan pelacakan. Aplikasi monitor termasuk pemantauan lingkungan dalam/luar ruangan [19], pemantauan kesehatan dan kesejahteraan, pemantauan daya, pabrik dan otomatisasi proses. Melacak aplikasi termasuk objek lintasan, hewan, manusia, dan kendaraan [20].…”

Section: Multi-sensor Network (Msn) Sebagai Monitoring Kulitas Udaraunclassified

Perancangan Wireless Sensor Network Menggunakan Teknologi Multisensor Sebagai Sistem Monitoring Kualitas Udara

Silvia¹,

Halimatussa’diyah²,

Aldi³

et al. 2020

quateknika

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Along with the current development, air quality is very vulnerable to being polluted. Factors that affect air quality are an increase in infrastructure development, factories, motor vehicle fumes and any other human activity. Based on these factors, an air quality monitoring system that is integrated into a Wireless Sensor Network (WSN) system is needed. In this study, a Wireless Sensor Network will be designed using Multisensor Network technology that works in real time to measure pollutant gas levels using the TGS 2442 sensor as a measure of carbon monoxide (CO) , MG811 sensor as a measure of carbon dioxide (CO2) , TGS 2611 sensor as a measure of HydroCarbon (HC), the DHT-11 sensor as a temperature and humidity meter and the SHARPGP2Y1010 sensor as a measure of particulate levels in the air (PM10). The data from this sensor reading is sent to the server using a Raspberry pi microprocessor. Furthermore, the data will be processed until it becomes information that can be used by users or the general public.

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