Design and implementation of recognition algorithm based on four-band infrared flame detector

2018 ◽  
Author(s):  
Liu Yuanyuan
Keyword(s):  
Recognition Algorithm ◽  
Design And Implementation ◽  
Flame Detector

Design and Implementation of Intelligent Track-Searching Vehicle Based on Photoelectric Sensor

2010 ◽  
Vol 40-41 ◽  
pp. 8-14
Author(s):  
Hong Ke Xu ◽  
Chun Cheng Ma ◽  
Xun Zhao Guo ◽  
Chang Bao Wen
Keyword(s):  
Pid Control ◽  
High Speed ◽  
Control Algorithm ◽  
Recognition Algorithm ◽  
Detection Accuracy ◽  
Continuous Path ◽  
Control Module ◽  
Design And Implementation ◽  
Fundamental Goal ◽  
Photoelectric Sensor

To meet the requirements of smoothness and flexibility, an intelligent track-searching vehicle is designed to run fast and smoothly on different tracks. It is equipped with a MC9S12DG128 SCM as core, a steering engine, a motor-control module and other modules. The continuous path recognition algorithm is applied to collect track information, and the optimized PID control algorithm is used to control the intelligent vehicle’s steering engine and motor. The experimental results show that the detection accuracy of intelligent vehicle is significantly increased; its sensitivity and stability are also obviously improved, achieving the fundamental goal of high speed of intelligent track-searching vehicle.

scholarly journals Design and Implementation of UV Flame Detector Module Using Low Power Algorithm of ZigBee

2008 ◽  
Vol 18 (3) ◽  
pp. 429-436
Author(s):  
Young-Jae Lee ◽  
Choong-Won Chang ◽  
Sang-Yong Rhee ◽  
Min-Su Jung
Keyword(s):  
Low Power ◽  
Detector Module ◽  
Design And Implementation ◽  
Flame Detector

Design and Implementation of Modulation Recognition Algorithm Based on Monitoring Receiver

2013 ◽  
Vol 411-414 ◽  
pp. 898-902
Author(s):  
Peng Zhou ◽  
Qi An ◽  
Wei Xia ◽  
Zi Shu He
Keyword(s):  
Digital Signal Processor ◽  
Signal To Noise Ratio ◽  
Digital Signal ◽  
Recognition Algorithm ◽  
Modulation Recognition ◽  
Signal To Noise ◽  
Communication Signals ◽  
Design And Implementation ◽  
Modulation Type ◽  
The Right

In order to recognize the modulation type of common communication signals, an automatic recognition algorithm based on decision theory is designed and introduced. Combined with engineering realization, an adjustment is made to the algorithm. Then, a recognition scheme is proposed and realized on Digital Signal Processor (DSP), which is the key module in monitoring receiver. When the signal-to-noise ratio is not less than 12 dB, the experimental results show that the right recognition rates of eight common communication signals are above 90%. The algorithm proposed can result in a good case, and the smaller calculated complexity compared with its counterparts makes it could better reach the real-time requirement of engineering realization.

AAC Considerations for Individuals With Angelman Syndrome

2015 ◽  
Vol 24 (3) ◽  
pp. 106-113 ◽  
Author(s):  
Stephen N. Calculator
Keyword(s):  
Angelman Syndrome ◽  
Augmentative And Alternative Communication ◽  
High Tech ◽  
Alternative Communication ◽  
Design And Implementation

Purpose To provide an overview of communication characteristics exhibited by individuals with Angelman Syndrome (AS) and special considerations associated with the design and implementation of augmentative and alternative communication (AAC) programs. Method Results of recent studies exploring individuals' uses of AAC are reviewed, with particular emphasis on factors related to individuals' acceptance and successful uses of AAC systems. Results Not applicable Conclusion Despite their inconsistent access to practices previously found to foster individuals' acceptance of AAC systems, individuals with AS demonstrate the ability to use AAC systems, including high-tech AAC devices, successfully.

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