scholarly journals SIM2PeD Intelligent monitoring system for prevention of diabetic foot

2016 ◽  
Vol 15 (41) ◽  
pp. 2282-2291
Author(s):  
Medeiros Rodrigo ◽  
Raquel Maia Leite Cicilia ◽  
de Siqueira Rodrigues Fleury Rosa Suelia ◽  
Pinheiro Marina ◽  
de Ávila Santana Luísiane ◽  
...  
Keyword(s):  
Monitoring System ◽  
Diabetic Foot ◽  
Intelligent Monitoring

scholarly journals Statistical analysis of spectral data: a methodology for designing an intelligent monitoring system for the diabetic foot

2013 ◽  
Vol 18 (12) ◽  
pp. 126004 ◽  
Author(s):  
Chanjuan Liu ◽  
Jaap J. van Netten ◽  
Marvin E. Klein ◽  
Jeff G. van Baal ◽  
Sicco A. Bus ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Spectral Data ◽  
Monitoring System ◽  
Diabetic Foot ◽  
Intelligent Monitoring

Design of Gait Recognition System Based on FPGA and DSP

2014 ◽  
Vol 687-691 ◽  
pp. 3861-3868
Author(s):  
Zheng Hong Deng ◽  
Li Tao Jiao ◽  
Li Yan Liu ◽  
Shan Shan Zhao
Keyword(s):  
Monitoring System ◽  
Nearest Neighbor ◽  
Gait Recognition ◽  
Recognition Rate ◽  
Digital Signal ◽  
Recognition System ◽  
Recognition Algorithm ◽  
Zernike Moment ◽  
Intelligent Monitoring ◽  
The One

According to the trend of the intelligent monitoring system, on the basis of the study of gait recognition algorithm, the intelligent monitoring system is designed based on FPGA and DSP; On the one hand, FPGA’s flexibility and fast parallel processing algorithms when designing can be both used to avoid that circuit can not be modified after designed; On the other hand, the advantage of processing the digital signal of DSP is fully taken. In the feature extraction and recognition, Zernike moment is selected, at the same time the system uses the nearest neighbor classification method which is more mature and has good real-time performance. Experiments show that the system has high recognition rate.

Design and Realization of CNG Intelligent Monitoring System

2013 ◽  
Vol 380-384 ◽  
pp. 761-764
Author(s):  
Zhen Hua Wang ◽  
Ge Fei Yu
Keyword(s):  
Monitoring System ◽  
Detection System ◽  
Short Message ◽  
Danger Signal ◽  
Intelligent Monitoring ◽  
Alarm Signal ◽  
Filling Station ◽  
Temperature Detection ◽  
Arm Microprocessor ◽  
Monitoring Information

One CNG remote intelligent monitoring system is designed and realized in this article. The monitoring system can receive real time monitoring information and monitor environment of CNG filling station by using GSM short message platform , terminal PC and cell phone based on ARM microprocessor, PTM100GSM module, pressure and temperature detection system, when the pressure, temperature or consistence of gas storage well is over the threshold , the monitoring system will send the alarm signal. Its proved that the monitoring system works stably and reliably and can effectively monitor fatal public danger signal.

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