Validation of Wearable Sensors and RFID for Real time Monitoring of Cattle Farming using Internet of Things

2019 ◽  
Author(s):  
Sairam A.J. ◽  
Thrinadh Reddy Induri ◽  
Bagyaveereswaran V.
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Wearable Sensors ◽  
Real Time Monitoring ◽  
Cattle Farming

Real-time monitoring of construction quality for gravel piles based on Internet of Things

2020 ◽  
Vol 116 ◽  
pp. 103228 ◽  
Author(s):  
Fengchen Chen ◽  
Huanjing Jiao ◽  
Liming Han ◽  
Liwei Shen ◽  
Wenjia Du ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Real Time Monitoring ◽  
Construction Quality

scholarly journals Design and Development of a Real-Time Monitoring System for Multiple Lead–Acid Batteries Based on Internet of Things

2017 ◽  
Vol 9 (3) ◽  
pp. 28 ◽  
Author(s):  
Ashish Rauniyar ◽  
Mohammad Irfan ◽  
Oka Saputra ◽  
Jin Kim ◽  
Ah Lee ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring ◽  
Design And Development ◽  
Lead Acid Batteries ◽  
Lead Acid

scholarly journals Internet-of-Things Enabled Real-time Monitoring of Energy Efficiency on Manufacturing Shop Floors

Procedia CIRP ◽  
2017 ◽  
Vol 61 ◽  
pp. 376-381 ◽  
Author(s):  
Yee Shee Tan ◽  
Yen Ting Ng ◽  
Jonathan Sze Choong Low
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Real Time ◽  
Real Time Monitoring

Facilities Vegetables Monitoring and Control System Design Based on WCF and Internet of Things

2014 ◽  
Vol 945-949 ◽  
pp. 2637-2640 ◽  
Author(s):  
Li Yan ◽  
Guo Wei Wang ◽  
Shui Fang Wu
Keyword(s):  
Environmental Factors ◽  
Internet Of Things ◽  
Real Time ◽  
High Yield ◽  
Monitoring And Control ◽  
Real Time Monitoring ◽  
Communication Interface ◽  
Temperature And Humidity ◽  
Sql Server Database ◽  
Internet Of Things Technology

The production of facilities vegetable affected significantly by environmental factors, therefore it require real-time monitoring information of light, air temperature and humidity, soil temperature and humidity, and timely early warning and controlling, to prevent irreparable damage. This study achieved real-time monitoring and timely warning of environmental factors, and optimal control of pumps and roller blinds in the Facility vegetable. We have adopted Internet of Things technology and WCF communication interface, the system through C # language and the SQL Server database to prepare. The application in Jilin Province Jinta Industrial (Group) Co.Ltd. has showed that the system is better, achieved the purpose of high yield income.

scholarly journals IoT on Heart Arrhythmia Real Time Monitoring

2018 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Muhammad Alif Akbar ◽  
Satria Mandala
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Title Page ◽  
Wearable Sensor ◽  
Real Time Monitoring ◽  
Heart Arrhythmia

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Monitoring jantung telah populer sejak 5 tahun terakhir. Hal ini ditandai dengan munculnya berbagai produk monitoring jantung berbasis wearable sensor. Umumnya komunikasi yang digunakan pada sistem tersebut adalah menggunakan radio telemetri dengan biaya opera- sional yang mahal. Beberapa riset mencoba menggunakan konsep internet of things (IoT) untuk mengatasi hal tersebut. Namun demikian, desain komunikasi IoT yang ada belum efisien. Ini disebabkan riset yang ada hanya berfokus pada bagaimana hasil baca sensor dapat dipantau secara realtime. Untuk mengatasi hal tersebut, riset ini mengusulkan sebuah arsitektur IoT berbasis cloud untuk memonitor aritmia, salah satu jenis penyakit jantung yang umum ditemukan. Deteksi aritmia yang diusulkan adalah pengembangan algoritma deteksi aritmia berbasis Tsipuras et al, dengan menggunakan deteksi fitur R. Sistem yang diusulkan pada paper ini telah diuji menggunakan dataset MIT-BIH dan menghasilkan akurasi 93.11% terhadap 3 kelas aritmia, yaitu PAC, PVC dan VT. Menariknya, dengan penerapan IoT, efisiensi algoritma deteksi fitur R meningkat 30% dibanding yang diusulkan oleh Pan dan Tompkins. Terbukti dengan rendahnya waktu rata-rata eksekusi tiap sampel data, yaitu sekitar 0.00749 ms.</span></p></div></div></div>

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