Desgin and Implementation of Wi-Fi based Smart Home System

Choudhary, Vinod; Parab, Aniket A.; Bhapkar, Satyajit Bhapkar

doi:10.18535/ijecs/v5i2.32

Cited by 9 publications

(3 citation statements)

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“…It was implemented using cloud, IoT and mobile application to monitor home appliances. Choudhary et al [32] proposed the methodology for remotely controlled monitoring with minimum and secured configurations. The proposed model not just checks the sensors' data information but also provides the solutions as per the situations, such as switching on the bulb in the low light.…”

Section: Related Workmentioning

confidence: 99%

Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning

Uppal

Gupta

Juneja³

et al. 2022

Sustainability

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The amount of data captured is expanding day by day which leads to the need for a monitoring system that helps in decision making. Current technologies such as cloud, machine learning (ML) and Internet of Things (IoT) provide a better solution for monitoring automation systems efficiently. In this paper, a prediction model that monitors real-time data of sensor nodes in a clinical environment using a machine learning algorithm is proposed. An IoT-based smart hospital environment has been developed that controls and monitors appliances over the Internet using different sensors such as current sensors, a temperature and humidity sensor, air quality sensor, ultrasonic sensor and flame sensor. The IoT-generated sensor data have three important characteristics, namely, real-time, structured and enormous amount. The main purpose of this research is to predict early faults in an IoT environment in order to ensure the integrity, accuracy, reliability and fidelity of IoT-enabled devices. The proposed fault prediction model was evaluated via decision tree, K-nearest neighbor, Gaussian naive Bayes and random forest techniques, but random forest showed the best accuracy over others on the provided dataset. The results proved that the ML techniques applied over IoT-based sensors are well efficient to monitor this hospital automation process, and random forest was considered the best with the highest accuracy of 94.25%. The proposed model could be helpful for the user to make a decision regarding the recommended solution and control unanticipated losses generated due to faults during the automation process.

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Section: Related Workmentioning

confidence: 99%

Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning

Uppal

Gupta

Juneja³

et al. 2022

Sustainability

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“…Photos are transmitted to android users as a warning against mistresses. In [12] authors proposed innovative low cost design and automated weather device and home security control. The design has been carried out by using the Android app to enable the smart phone to send orders and get warning via the server-based system.…”

Section: Related Workmentioning

confidence: 99%

Design and implementation of multilevel security based Home Management System

2020

IJATCSE

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The safety and security-based systems have taken a wide size in our everyday life because of their significance in protecting homes, companies, gold shops, or other institutions and properties from disasters such as exposure to fire or gas leakage and even being robbed by burglars. In recent years, such systems have get huge attention by many researchers and begun to evolve with the development of technology and the emergence of various types of smart microcontrollers and intelligent electronics. In this paper, a multilevel home management security and safety system has been proposed by using the Arduino microcontroller board. Such management would be carried remotely or locally. The result obtained from the proposed system has showed reliability in the performance manner that can take place in IoT based applications. In addition, the system showed independence on single failure point. Furthermore, such a system could be considered as an inexpensive system that can be applied in several places to achieve higher security levels and protection against different types of disasters.

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“…In 2016, Choudhary et al present an innovative low cost design and implementation of automated control based on weather conditions, appliance control, and, home security together with the design of android application to enable the smart phone to send commands and receive alerts through the server based system. The system is processed via Arduino microcontroller [4].…”

Section: Introductionmentioning

confidence: 99%

ARDUINO Microcontroller Based Building Security System

Hatem¹,

Shehab²,

Abdul-Rahman³

2017

ETJ

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This work aims to protect homes against danger, damage, and any criminal activity using Passive Infrared (PIR) and LASER sensors. Depending on cutting beam that emitted from the laser source or from PIR, there are three cases to warn; the first case (without GSM (Global System Mobile)) to issue a warning aerobically by sound. The second case (with GSM modem and Arduino), will be sent a warning SMS (Short Message Service) directly to the user through GSM Networks. In addition, final case with GSM and Arduino, gives the order to the phone (Nokia 6500) snapped a picture and is sent to the user depending on GSM networking MMS (Multimedia Message Service). The LASER sensor is used to detect any move depending on cutting beam. The PIR is used to detect a human body. In addition, the devise cannot work until activated by the user through the password (to activate protection device) as well as confidential in the same way it is closed. This system is built with open source hardware (Arduino uno 328). Beside to software has been the use of Micro C language in programming microcontroller (Arduino uno 328) addition to Proteus program to simulate the work of Ardino.

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Desgin and Implementation of Wi-Fi based Smart Home System

Cited by 9 publications

References 0 publications

Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning

Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning

Design and implementation of multilevel security based Home Management System

ARDUINO Microcontroller Based Building Security System

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