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Recently many premature babies have lost their lives due to lack of proper monitoring of the incubator that leads to accidents. A neonatal incubator is an enclosed equipment where a pre-mature infant will be kept in a clean and controlled environment for observation and care. The biological parameters are monitored to ensure the safety of the babies and to prevent death rates. For monitoring the vital signs continuously for pre-mature infants in the hospital it requires sensors and electrodes which is said to be kept in contact to the patient and it can be displayed in a d monitor. Any abnormality in the parameter will be indicated by alarm system. In this survey, we concentrate on the available incubator monitoring systems, the biological parameters measured and analyse techniques used in real-time monitoring, transmission of the data.

To comfort the living conditions within of a human his home, she can use home monitoring and automation are utilized. The standards of human’s comfort in homes can be categorized into several types. Among these categories, the most significant ones are the thermal comfort, which is related to temperature and humidity, followed by the visual comfort, related to colors and light, and hygienic comfort, associated with air quality.We are proposing a system to monitoring the paremeters range which will increase the comfortness of the human.Additionally,we incorporate the smart home technique which controls the home appliances by intelligent automatic execution of commands after analyzing the collected data. Automation can be accomplished by using the Internet of Things (IoT). This gives the inhabitant accesses to certain data in the house and the ability to control some parameters remotely. We propose the complete design of an IoT based sensing and monitoring system for smart home automation. That uses the EmonCMS platform for collecting and Visualizing monitored data and remote controlling of home appliances and devices. The selected platform is very flexible and user-friendly. The sensing of different variables inside the house is conducted using the NodeMCU-ESP8266 microcontroller board, which allows real-time data sensing, processing and uploading/downloading to/from the EmonCMS cloud server.

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