Research on Smart Home Security System Based on BP Neural Network Information Fusion

2018 ◽  
Author(s):  
Yongliang Wang ◽  
Huimin Lv ◽  
Qi Zhang ◽  
Pengfei Wang ◽  
Daliang Yan ◽  
...  
Keyword(s):  
Neural Network ◽  
Information Fusion ◽  
Bp Neural Network ◽  
Smart Home ◽  
Security System ◽  
Network Information ◽  
Home Security

Application of Integrated Neural Network Information Fusion in Fault Diagnosis of one Missile Launching Control Unit

2013 ◽  
Vol 427-429 ◽  
pp. 2808-2812
Author(s):  
Xu De Cheng ◽  
Hong Li Wang ◽  
Bing Xu ◽  
Xue Dong Xue
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Information Fusion ◽  
Preliminary Analysis ◽  
Control Unit ◽  
Fusion Technology ◽  
Network Information ◽  
Diagnosis Rate ◽  
Fault Diagnosis System ◽  
Made In

Research and development of fault diagnosis system in application of integrated neural network information fusion is based on information fusion technology, with which preliminary analysis of equipment fault is made in different perspectives in terms of neural network, so as to identify the fault on the basis of fusion outcome. This technique is applied in fault diagnosis of one type of missile launching control unit, leading to sufficient use of various information and substantially increased fault diagnosis rate.

Smart Home Security System

2020 ◽  
pp. 127-133
Author(s):  
Vemireddy Sai sindhu reddy ◽  
P. V. K. Sai ◽  
Anupama Namburu
Keyword(s):  
Smart Home ◽  
Security System ◽  
Home Security

i-SHSS: An IoT Based Smart Home Security System

2017 ◽  
pp. 303-306
Author(s):  
Saurabh Singh ◽  
Pradip Kumar Sharma ◽  
Seo Yeon Moon ◽  
Jong Hyuk Park
Keyword(s):  
Smart Home ◽  
Security System ◽  
Home Security

Multisensor Information Fusion Based on D-S Evidence Theory and BP Neural Network

2013 ◽  
Vol 567 ◽  
pp. 113-117 ◽  
Author(s):  
Can Zhao ◽  
C.R. Tang ◽  
S. Wan
Keyword(s):  
Neural Network ◽  
Tool Wear ◽  
Cutting Force ◽  
Information Fusion ◽  
Bp Neural Network ◽  
Cutting Tool ◽  
Evidence Theory ◽  
Vibration Signal ◽  
Inspection System ◽  
Tool Monitoring

This paper applies the information fusion technology to tool monitoring. As one of the most important processing factor, the cutting tool and the tool wear directly influence size precision. Signals of cutting force and vibration are measured with multi-sensor. By using multi-sensor the drawbacks can be overcome, the multi-sensor information fusion mentioned in manufacture stands for extracting kinds of information from different sensors (especially for cutting force and vibration signal in this paper), making best use of all resources，according to certain criterion to judge the spatial and time redundancy , to make the system more comprehensive. Two data fusion methods, which are BP Neural Network and Wavelet Neural Network for predicting tool wear, and are debated. By the hybrid of BP and wavelet based neural network the cutting tool status inspection system is built so that the forecast of tool wear can be achieved. The results show experimentally two of these presented methods effectively implement tool wear monitoring and predicting.

Sign in / Sign up

Export Citation Format

Share Document