Flame detection method for determining organic carbon in water

1972 ◽  
Vol 44 (4) ◽  
pp. 709-714 ◽  
Author(s):  
F. T. Eggertsen ◽  
F. H. Stross
Keyword(s):  
Organic Carbon ◽  
Detection Method ◽  
Flame Detection

Study of Analysis Technology of Organic Carbon in Sediment as Powder Materials with Ozonation Chemiluminescence Method

2012 ◽  
Vol 534 ◽  
pp. 343-347
Author(s):  
Yan Liu ◽  
Hong Bin Zhang ◽  
Ran Ma ◽  
Guo Xing Ren
Keyword(s):  
Organic Carbon ◽  
Detection Method ◽  
Type A ◽  
Rapid Analysis ◽  
Powder Materials ◽  
Chemiluminescence Method

A method for rapid analysis on-site of organic carbon in sediment powder materials is recommended. It is based on researches on the phenomenon of chemiluminescence of organic carbon in sediment powder materials reacting with ozone. A Chemiluminescence kinetics curve was obtained by using an home-made experimental instrument, and used to analyze content and characteristics of the organic carbon in sediment powder materials, such as the proportion of hard oxidation , easy oxidation and middling stabilization. Effectiveness of the method was verified comparing its results with those of the existing detection method. Based on the finding that sediments powder materials varied sharply in chemiluminescence feature from type to type, a concept of “organic carbon fingerprint” is recommended.

scholarly journals COMBUSTION AND IR DETECTION METHOD FOR TOTAL ORGANIC CARBON DETERMINATION IN VARIOUS ENVIRONMENTAL MATRICES

2021 ◽  
Author(s):  
Georgiana Cernica ◽  
◽  
Agnes Serbanescu ◽  
Adriana Cuciureanu ◽  
Bogdan Stanescu ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Total Organic Carbon ◽  
Detection Method ◽  
Environmental Matrices ◽  
Ir Detection ◽  
Carbon Determination

Improved multi-scale flame detection method

2021 ◽  
Vol 36 (5) ◽  
pp. 751-759
Author(s):  
Yi-cheng HOU ◽  
◽  
Hui-qin WANG ◽  
Ke WANG
Keyword(s):  
Detection Method ◽  
Multi Scale ◽  
Flame Detection

scholarly journals Flame Detection Based on Deep Learning Using HSV Color Model and Corner Detection Algorithm

2021 ◽  
Vol 35 (2) ◽  
pp. 108-114
Author(s):  
Jin-Kyu Ryu ◽  
Dong-Kurl Kwak
Keyword(s):  
Deep Learning ◽  
Detection Method ◽  
Detection Algorithm ◽  
Corner Detection ◽  
Color Model ◽  
Actual Performance ◽  
Harris Corner ◽  
Hsv Color Model ◽  
Flame Detection ◽  
Harris Corner Detection

Recently, many image classification or object detection models that use deep learning techniques have been studied; however, in an actual performance evaluation, flame detection using these models may achieve low accuracy. Therefore, the flame detection method proposed in this study is image pre-processing with HSV color model conversion and the Harris corner detection algorithm. The application of the Harris corner detection method, which filters the output from the HSV color model, allows the corners to be detected around the flame owing to the rough texture characteristics of the flame image. These characteristics allow for the detection of a region of interest where multiple corners occur, and finally classify the flame status using deep learning-based convolutional neural network models. The flame detection of the proposed model in this study showed an accuracy of 97.5% and a precision of 97%.

scholarly journals Covariance matrix-based fire and flame detection method in video

2011 ◽  
Vol 23 (6) ◽  
pp. 1103-1113 ◽  
Author(s):  
Yusuf Hakan Habiboğlu ◽  
Osman Günay ◽  
A. Enis Çetin
Keyword(s):  
Covariance Matrix ◽  
Detection Method ◽  
Flame Detection
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