You searched for: intrusion detection (Engelska - Tamil)

intrusion detection
ஊடுருவல் கண்டறிதல்

detection
உணரி

edge detection
ஓர கண்டுபிடித்தல்

intrusintrusion detection
ஊடுருவல் கண்டறிதல்

starting detection...
துப்பறிதல் துவக்கப்படுகிறது...

bottom edge detection
கீழ் ஓர கண்டுபிடித்தல்

no dial tone detection:
அழைப்பு தொனி தென்படவில்லை:

automatic detection failed
தானாக நீக்குதல் இயலாது

automatic (geo ip detection)
canada (amazon.ca)"), "ca

automatic proxy variable detection
தானியங்கி பினாமி மாறிக் கண்டுபிடிப்பு

enable detection of missing attachments
தொலைந்துபோன இணைப்புகளை கண்டறிதலை செயற்படுத்து

sentence boundary detection filter plugin for ktts
kttsக்கான வாக்கிய கண்டறி அலங்கார சொருகுப்பொருள்name

a user interface server for solid, the hardware detection system
a user interface server for solid, the hardware detection systemname

enter the maximum value for the display here. if both values are 0, automatic range detection is enabled.
காட்சிக்குரிய குறைந்த பட்ச மதிப்பை இங்கு தரவும். இரண்டு மதிப்புகளும் 0 என்றால் தானியங்கி எல்லை கண்டுப்பிடிப்பு செயல்படும்.

free online englislaser welding is the important technique used in the automation industries to weld the steel products. speed of the laser welding has a possibility to change the position of the laser. large sized damages or defects can be identified by naked eye easily but in case of any small pores or cracks which may not be detected manually. manual defect detection is difficult for large scale industries. the main abstract of this project is to reduce the manpower in laser industry for identification of defect and to detect the minute defects of a laser products much faster and accurately. automatic defect detection using classifiers and segmentation techniques are implemented to reduce such risk factors in automation industries. feedforward neural network is the classifier used in existing method. fnn is a forward process. feedback will never occur in fnn, error correction can only done by using repeated feedback process. error rate is much larger in feedforward neural network, therefore performance accuracy is very less and background noise is more in the existing method, to overcome all these defect, probabilistic neural network (pnn) is used. pnn detects the defect of the laser welded steel product with the help of texture feature extraction and co-occurrence feature. pre-processing is the technique used to remove the noise present in the training image and in the output image. wavelet decomposition method is applied and the output is taken for the co-occurrence feature extraction. pnn classifier are used to detect the defects on the surface of the steel products and fuzzy c-means clustering is used to find the exact location of the defect in the surface of the steel products. all these processes is done by using image processing tool box of matlab software (matrix laboratory), or scilab (science laboratory). proposed method gives the better performance accuracy, low complexity and compatibility. h to tamil translation service
தமிழ் மொழிபெயர்ப்பு சேவை ஆங்கிலம் இலவச ஆன்லைன்