EDUCATION

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Abstract -
Energy saving is one of the most challenging issue in these days. IoT is the evolving technology where the significance and utilization are increasing with each passing day. By combining these, a Smart Power monitoring is a system designed that detects and controls the domestic electricity consumption. This paper describes the digitization of energy to control the power usage and reduce unnecessary power wastage. Several sensors are used to gather the consumption data that needs to be send to cloud using loT. The Wi-Fi section performs IoT operation by sending to the cloud. This system includes programmable power output where user can limit the power usage along with a motion sensor used for automation to reduce unnecessary power leakage.

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Abstract-

Automation is one of the considerable developments in the new innovations. It is best technique to execute in the fields of medical i.e. observing the patient condition. In this paper oxygen levels are controlled precisely by utilizing fuzzy logic. Here the beat rate and the ECG qualities are chosen the pressure variation of the oxygen. To quantify the Heart beat and blood oxygen levels we used Pulse Sensor Amped. The ECG signs can be caught by utilizing the AD8232 ECG sensor. The Heartbeat, SP02 levels, and ECG sensors are associated with the Arduino Uno board. The Bio-data from the sensors, which is associated with Arduino Uno, is given to the MATLAB through Serially. The fuzzy logic is utilized to control the Oxygen levels at the patients end. This kind of automated oxygen level control is much useful to the patients and the paramedical staff viably to observe the patient condition.

Abstract-

Present day's IoT brings the gadgets together and assumes a fundamental part in different methodologies like smart home mechanization, savvy urban areas, vehicle parking, traffic control, brilliant industries, smart environment, agribusiness fields and patient health monitoring system and so on. One of the approaches is to monitor the health state of the patient and screen it to doctors or paramedical staff through the IoT, as it is hard to screen the patient for 24 hours. So here the patient health condition or status i.e. Pulse rate, Respiratory rate, Body Temperature, Position of the body, Blood glucose, ECG and so on can be measured by utilizing the Non-invasive sensors. These sensors are associated with the Arduino Uno board, it gathers the information i.e. biomedical data from the sensors and the detected biomedical information can be transmitted to the server. The “Thingspeak” named new cloud is utilized here to place the detected information into the server. From this server the information can be envisioned to the specialists and other paramedical staff by Thingspeak android app. In this way by utilizing this Smart health monitoring system diminishes the exertion of specialists and paramedical staffs to screen the patient for 24 hours and furthermore lessens the time and cost of support.