Research on Smart Home Controlling System Based on Fuzzy Data Fusion Theory

2014 ◽  
Vol 602-605 ◽  
pp. 1127-1130
Author(s):  
Chao Wang ◽  
Tao Tan ◽  
Xuan Yin ◽  
Nan Chen ◽  
Tong Xin Xiao
Keyword(s):  
Data Fusion ◽  
Energy Supply ◽  
Smart Home ◽  
Fuzzy Data ◽  
Energy Preservation ◽  
Controlling System ◽  
New Energy ◽  
Fusion Theory ◽  
Test Result

To solve the unstable and insufficient energy supply problems in Smart Home Controlling System and improve the he cooperation between several sensors with different functions and parameters, a new energy supply module based on the vibration in the air and the fuzzy data fusion theory applied to the cooperation among sensors are discussed in this paper. The test result proves that this kind of module works well to provide enough energy preservation for the whole WSN system and data fusion theory enhances the credibility and preciseness of the surveillance result.

A Verification Test Result of Isolated Operation of a Microgrid Configured with New Energy Generators and a Study of Improvement of Voltage Control

2009 ◽  
Vol 129 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Jiro Sumita ◽  
Kojiro Nishioka ◽  
Yasuhiro Noro ◽  
Yozo Ito ◽  
Masanori Yabuki ◽  
...  
Keyword(s):  
Voltage Control ◽  
New Energy ◽  
Verification Test ◽  
Test Result

Sensor Correlation and Data Fusion Theory.

1984 ◽  
Author(s):  
N. R. Sandell ◽  
Jr
Keyword(s):  
Data Fusion ◽  
Fusion Theory

scholarly journals IoT-Based of Automatic Electrical Appliance for Smart Home

2020 ◽  
Vol 14 (18) ◽  
pp. 204
Author(s):  
Intan Sari Areni ◽  
Ahmad Waridi ◽  
Indrabayu Amirullah ◽  
Christoforus Yohannes ◽  
Armin Lawi ◽  
...  
Keyword(s):  
Temperature Sensor ◽  
Smart Home ◽  
Electrical Equipment ◽  
Raspberry Pi ◽  
Air Conditioner ◽  
Android Application ◽  
Remote Control System ◽  
Controlling System ◽  
Electrical Appliance ◽  
Mit App Inventor

The remote control system on electrical equipment in the room can be fulfilled through the internet as an IoT (Internet of Things) implementation. All devices managed from one interface, so home appliances management delivered quickly and conveniently. The main contribution in this research is IP based controlling for rooms with control lights and vertical curtains, and also the temperature of the air conditioner (AC) with IoT Technology. The used hardware is Raspberry Pi 3 as a server, Relay, motor stepper, IR led Transmitter, and temperature sensor DS18B20. For implementation, an android application is built by MIT App Inventor 2. The results show that all features function correctly, but each device responds with a different delay value.  Delay time response of a lamp, vertical blind, and AC is up to 1.5 sec, 2.1 sec, and 1.6 sec, respectively.electrical appliances, IoT, controlling system, smart room

scholarly journals A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia

2018 ◽  
Vol 7 (1.6) ◽  
pp. 20 ◽  
Author(s):  
Ansari Saleh Ahmar
Keyword(s):  
Renewable Energy ◽  
Energy Supply ◽  
Human Life ◽  
Primary Energy ◽  
Energy Forecasting ◽  
Indicator Method ◽  
New Energy ◽  
Primary Energy Supply

Humans in this world are very dependent on petroleum and energy. Petroleum and other energies are a major source in supporting human life. Regarding the reduced petroleum availability, a new energy is needed to replace the role of petroleum. Nowadays, there is much renewable energy that have been discovered and used. The purpose of this research is to predict the total primary energy supply in Indonesia by using α-Sutte Indicator and ARIMA method, and comparing those four methods which are effective in predicting data. Data from the research is renewable energy (total primary energy supply) which is obtained from OECD from 1971-2015. From the research, it is found that the α-Sutte Indicator method is more suitable to predict renewable energy (total primary energy supply) data in Indonesia compared to ARIMA (0,1,0). 

Sign in / Sign up

Export Citation Format

Share Document