scholarly journals Design of Intelligent Agricultural Greenhouse Monitoring System Based on 5G Network Cloud Platform

2020 ◽  
Vol 1578 ◽  
pp. 012129
Author(s):  
Mojun Xiang
Keyword(s):  
Monitoring System ◽  
Cloud Platform ◽  
5G Network

scholarly journals Design of monitoring system for intelligent windows based on cloud platform

2020 ◽  
Vol 1656 ◽  
pp. 012021
Author(s):  
Changyuan Liu ◽  
Yunxiang Jia ◽  
Penggang Guo ◽  
Yifan Zhang
Keyword(s):  
Monitoring System ◽  
Cloud Platform

scholarly journals Remote Parkinson's disease monitoring system: from smartphone to cloud platform

2019 ◽  
pp. 21-25
Author(s):  
О.В. Бережний ◽  
T.O. Білобородова ◽  
І.С. Скарга-Бандурова
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Monitoring System ◽  
Data Transmission ◽  
Cloud Storage ◽  
Smartphone Application ◽  
Sensor Data ◽  
Common Symptom ◽  
Cloud Platform ◽  
Smartphone Sensors

Parkinson's disease (PD) is a slowly progressive disorder that affects movement, muscle control, and balance. The earlier treatment can prevent the disease from developing and to prolongate the diseases prodromal phase. In this context, home monitoring services are potentially powerful tools for remote diagnosis and can improve healthcare services. Tremor is the most common symptom of a PD disorder and it has several advantages for continuous PD symptoms monitoring. The developing of solution based on smartphone sensors that allow remote monitoring of the monitored user is present. The connection between the smartphone application and cloud platform for smartphone sensors data transmission for early tremor symptoms detection is developed. It includesdeveloping of configuration of smartphone application for sensor data transmission and developing of configuration of a cloud platform for tremor symptoms monitoring. The active tests were developed to capture a motor disorder, that indicates PD symptom such as tremor.  Initial trials of the developing demonstrated that the monitoring system has the ability to real-time data acquisition and transmission using smartphone sensors and cloud storage. The connection settings developed for the system proved to be efficient when sensor data transmitted from the smartphone to cloud storage. The period of time required to transfer data to the cloud equal to the period of time less than one second.

scholarly journals Development of the IoT-based Monitoring System for Scaffold Shoring System of Concrete Formwork

2018 ◽  
Vol 175 ◽  
pp. 03072
Author(s):  
Jian Su ◽  
Jieming Li ◽  
Lingsheng Tan ◽  
Xiaodan Huang
Keyword(s):  
Monitoring System ◽  
Wireless Sensors ◽  
Safety Monitoring ◽  
Construction Safety ◽  
Practical Application ◽  
Cloud Platform ◽  
Mobile Client ◽  
Important Approach ◽  
Efficiency And Reliability ◽  
The Internet Of Things

Construction safety monitoring is an important approach to prevent collapse of scaffold shoring system during concrete formwork. In this article, the causes of the collapse of scaffold shoring system are investigated. A monitoring system based on the Internet of Things(IoT) is then proposed, consisting of wireless sensors, wireless monitor, wireless alarm, monitoring cloud platform and mobile client. The monitoring system is then put into practical application and has successfully detected the malfunction of the monitored system, which proves the efficiency and reliability of the monitoring system.

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