A secure scheme for a smart house based on Cloud of Things (CoT)

2014 ◽  
Author(s):  
Bashar Alohali ◽  
Madjid Merabti ◽  
Khasif Kifayat
Keyword(s):  
Smart House

scholarly journals Smart House Control using LabVIEW

2020 ◽  
Vol 1716 ◽  
pp. 012004
Author(s):  
S Angalaeswari ◽  
T Deepa ◽  
D Subbulekshmi ◽  
S. Krithiga ◽  
Machupalli Narsimha Reddy ◽  
...  
Keyword(s):  
Smart House

scholarly journals Optimal Artificial Neural Network Type Selection Method for Usage in Smart House Systems

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 47
Author(s):  
Vasyl Teslyuk ◽  
Artem Kazarian ◽  
Natalia Kryvinska ◽  
Ivan Tsmots
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Artificial Neural Networks ◽  
Input Data ◽  
Optimization Criterion ◽  
Fuzzy Input ◽  
Different Types ◽  
Smart House ◽  
Artificial Neural

In the process of the “smart” house systems work, there is a need to process fuzzy input data. The models based on the artificial neural networks are used to process fuzzy input data from the sensors. However, each artificial neural network has a certain advantage and, with a different accuracy, allows one to process different types of data and generate control signals. To solve this problem, a method of choosing the optimal type of artificial neural network has been proposed. It is based on solving an optimization problem, where the optimization criterion is an error of a certain type of artificial neural network determined to control the corresponding subsystem of a “smart” house. In the process of learning different types of artificial neural networks, the same historical input data are used. The research presents the dependencies between the types of neural networks, the number of inner layers of the artificial neural network, the number of neurons on each inner layer, the error of the settings parameters calculation of the relative expected results.

scholarly journals A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation

2013 ◽  
Vol 2 (3) ◽  
pp. 557-588 ◽  
Author(s):  
Qingquan Sun ◽  
Weihong Yu ◽  
Nikolai Kochurov ◽  
Qi Hao ◽  
Fei Hu
Keyword(s):  
Network Design ◽  
Home Automation ◽  
Intelligent Sensor ◽  
Agent Based ◽  
Multi Agent ◽  
Smart House

scholarly journals Ideal Distance of Commands on EASYVR for Smart House Control

2019 ◽  
Vol 1 (2) ◽  
pp. 29-36
Author(s):  
Achmad Iqbal ◽  
Risfendra Risfendra
Keyword(s):  
Power Supply ◽  
Automatic System ◽  
Smart Home ◽  
Home Automation ◽  
Central Controller ◽  
Control Electronics ◽  
Smart House ◽  
Sound Processor ◽  
At Home

In the recent years, technology make everything to do easier. Home automation is the system otomatization for smart home. This project aims to design an automatic system tool for smart home using arduino mega 2560 as a central controller, easyVR as sound processor, driver relay and power supply. After testing, the result of this project shows a design which able to control electronics at home using audio censor. The result shows that overall function is quite well and need about 2 seconds for activated load.

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