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In today consumer world, product search engines have been played key roles for consumer information seeking and decision making process. However, due to the volume, variety and velocity of information plus the nature of human beings, it becomes very hard to identify what information and how it is used by a consumer. Therefore, in this paper a Human Behavior Analyzer Framework is proposed to gain some...
Quantitative evaluation method of visual induced motion sickness (VIMS) on interactive video using biosignals index and body-motion indices were experimentally investigated. The results indicate that biosignals from RRI and respiration combined with the peak value and time-shift of cross-correlation between body motion signals and global motion vector might be a useful VIMS index for non-experts on...
This paper reports a pilot study where we link different types of data for explaining prices. In this study, we link the apartment rent data with the publicly accessible location data of landmarks like supermarkets, hospitals, etc. We apply the regression analysis to find the most important factor determining the apartment rents. We claim that the results of this type of spatial data mining can enhance...
A new scheme is proposed which uses the features of Discrete Cosine Transform (DCT) for the embedding of the watermark coefficients and uses a pseudo-random sequence for selection of the DCT coefficients to embed the watermark. These coefficients are different in different watermarked images so there is no chance of collusion of the watermarked images to detect the watermark illegally. The scheme...
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