Prapan Leekul

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This research presents a low complexity artificial neural network (ANN) unit that used for implementation of microwave sensor system in order to detect sugar content in tested solution. Generally, the hardware implementation of ANN suffers from the number of multiplication that used in network and the difficulty of implementing sigmoid activation function.(More)
This paper presents a microwave sensor operating at the frequency of 2.45 GHz that can detect defected fruits. In this work, orange is used as an example. Granulation of orange is detected by measuring mean and standard deviation of the magnitudes of S-parameters of the orange at different positions. From the simulated S-parameters of patch antennas(More)
This paper presents a sensor for monitoring moisture content of paper. The reflection coefficient of paper at various moisture contents are measured and used for determining humidity of paper. The resultant IF output of 50 MHz from the reflectometer operating at the frequency of 2.40 GHz and 2.45 GHz shows an obvious difference in reflection coefficient for(More)
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