• Journal of the Korean Society of Tobacco Science
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• v.17 no.2
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• pp.126-138
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• 1995

To investigate the changes of physicochemical properties of leaf tobacco during storage, cured leaves (both flue-cured(KF109) and burley(Burley 21) : 4 grades of leaves) were stored under the natural warehouse condition(room temperature) and processed leaves(both Rue-cured(NC82) and burly(Burley 21) : 6 grades of leaves) were stored at storerooms in tobacco processing plants(flue-cured Cheongju plant ; 2nd, 4th and 5th floor, burley : Kwangju plant ; 2nd floor, Chonju plant : 3rd and 5th floor). Tobacco leaves were sampled and analyzed every 3 months. Total sugar content of flue-cured leaf decreased slightly and the redness degree of leaf increased after 15 months' storage under the natural warehouse conditions. The pH of cured leaves were lowered both flue-cured and burley, and the decreasing rate of pH was large in flue-cured(0.24) as compared with burley(0.14). There was no significant differences of physicochemical properties of processed leaf among storerooms during 15 months' storage. The decreasing rate of processed leaf pH was somewhat large in flue-cured(0.26) as compared with burly (0.20), and in thick leaves as compared with thin leaves. The redness degree of flue-cured leaf increased slightly, while the degree of lightness and yellowness lowered slightly during storage. The lightness degree of burley leaf lowered slightly, too. The ageing process of cured leaf was similar to that of processed leaf, it is considered that the passing days after curing will be more reasonable than the passing days after processing for the establishment of proper ageing period.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.105-122
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• 2022

According to the statistics about the fatal crashes that have occurred on the expressways for the last 5 years, those who died on the shoulders of the road has been as 3 times high as the others who died on the expressways. It suggests that the crashes on the shoulders of the road should be fatal, and that it would be important to prevent the traffic crashes by cracking down on the vehicles intruding the shoulders of the road. Therefore, this study proposed a method to detect a vehicle that violates the shoulder lane by using the Faster R-CNN. The vehicle was detected based on the Faster R-CNN, and an additional reading module was configured to determine whether there was a shoulder violation. For experiments and evaluations, GTAV, a simulation game that can reproduce situations similar to the real world, was used. 1,800 images of training data and 800 evaluation data were processed and generated, and the performance according to the change of the threshold value was measured in ZFNet and VGG16. As a result, the detection rate of ZFNet was 99.2% based on Threshold 0.8 and VGG16 93.9% based on Threshold 0.7, and the average detection speed for each model was 0.0468 seconds for ZFNet and 0.16 seconds for VGG16, so the detection rate of ZFNet was about 7% higher. The speed was also confirmed to be about 3.4 times faster. These results show that even in a relatively uncomplicated network, it is possible to detect a vehicle that violates the shoulder lane at a high speed without pre-processing the input image. It suggests that this algorithm can be used to detect violations of designated lanes if sufficient training datasets based on actual video data are obtained.