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The aim of production line enhancement in any industry is to improve quality and reduce operating costs by applying various kinds of advanced technology. In order to become more competitive, many sensing, monitoring, and control approaches have been investigated in the textile industry. Automated visual inspection is one area of improvement where real cost savings can be realized over traditional...
This paper proposes an efficient digital audio watermarking scheme using artificial intelligent technique. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain. The embedding technique is based on quantization process which does not require the original audio signal in the watermark extraction. We have developed an optimization technique using the...
In this paper, a robust watermarking scheme for digital audio signal is proposed. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain to achieve robust performance against common signal processing procedures and compression. The embedding technique is based on quantization process which does not require the original audio signal in the watermark...
Pedestrian detection is one of the most important research contents of road safety. The crucial idea behind such pedestrian safety systems is to protect the driver and pedestrian from any accident. In this paper, a pedestrian feature extraction based on color symmetry phases is presented. By examining symmetry phases in multiple color spaces, the segmentation results are significantly improved which...
Vegetables and fruits are the most important export agricultural products of Thailand. In order to obtain more value-added products, a product quality control is essentially required. Many studies show that quality of agricultural products may be reduced from many causes. One of the most important factors of such quality is plant diseases. Consequently, minimizing plant diseases allows substantially...
This study proposes novel robust text-independent speaker identification based on the discrete wavelet transform (DWT), the mel-frequency discrete wavelet coefficients (MFDWC), the wavelet-based sub-band weighting and the likelihood combination Gaussian mixture model (LCGMM). This method is used in the text-independent speaker identification in compare to the widely used MFCC features recognizer,...
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