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  2. 2013
  3. September
  4. I
  5. ICT 2 Survey, Resistor Recognition
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Exit Survey
 
 
JCU SINGAPORE. 600, UPPER THOMSON ROAD, SINGAPORE - 6576 6833.

A real-time resistor value recognition PC application using fuzzy neural network approach. The underlying algorithm adopted in this work uses Boost Naïve Bayesian (BNB) for recognition. We examine the structure of training data and the effect of attributes on the class probabilities through the use of Naïve Bayesian classifier (NBC). This work is believed to be the first recorded initiative
Contact: Anand Shankaralingam Arivarasu +6585159564

 
 
 
 
Are you a technician in an electronic component manufacturing department?
 
Yes
 
No
 
 
 
Are you a student related to electronics department?
 
Yes
 
No
 
 
 
How did you calculate resistor value before?
 
Through Application
 
Manually
 
 
 
How many times you use your application per day?
 
Very Often
 
Often
 
Sometimes
 
Occasionally
 
Never
 
 
 
How often to you buy these resistor recognition software?
 
At least once a day
 
At least once a week
 
At least once a month
 
At least once every three months
 
Never
 
 
 
How much do you spend for the application? (In terms of SGD)
 
<500
 
500-750
 
750-1000
 
1000-1250
 
1250-1500
 
 
 
Is it efficient?
 
Totally agree
 
Partially agree
 
Neither agree/ disagree
 
Partially disagree
 
Totally disagree
 
 
 
Is it user interactive?
 
Totally agree
 
Partially agree
 
Neither agree/ disagree
 
Partially disagree
 
Totally disagree
 
 
 
Did you find any difficulty in using our application?