• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.9
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• pp.92-97
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• 2022

In this paper, as a research on autonomous steering for agriculture, a sensor module for furrow recognition was developed through a low-cost distance sensor combination. The developed sensor module was applied to the vehicle, and when driving in a furrow curve, the autonomous steering success rate was 100% at a curvature of 20 m or more, and 70% at a curvature of 15 m or less. The self-steering success rate according to the ground condition showed a 100% success rate regardless of soil, weeds, or mulching film.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.9C
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• pp.756-760
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• 2010

This paper is proposed to an novel facial behavior recognition system for driver's fatigue detection. Facial behavior is shown in various facial feature such as head expression, head pose, gaze, wrinkles. But it is very difficult to clearly discriminate a certain behavior by the obtained facial feature. Because, the behavior of a person is complicated and the face representing behavior is vague in providing enough information. The proposed system for facial behavior recognition first performs detection facial feature such as eye tracking, facial feature tracking, furrow detection, head orientation estimation, head motion detection and indicates the obtained feature by AU of FACS. On the basis of the obtained AU, it infers probability each state occur through Bayesian network.

• Journal of People, Plants, and Environment
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• v.23 no.4
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• pp.423-432
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• 2020

Background and objective: Traditional farming is winning recognition as a sustainable alternative farming method. As urban farming increases in South Korea, it is crucial to develop more sustainable farming techniques. Gyeonjongbeop is the traditional farming method introduced in the Joseon period. This study was conducted to propose a productive garden model suitable for urban farming through the interpretation of traditional farming methods contained in Imwongyeongjeji Bolliji and to test the model on an actual field. Methods: Using the design and cropping system of Gyeonjongbeop as the research materials, we reviewed its tillage and cultivation and examined the applicability. We proposed a modified method by extracting parts applicable to urban farming. According to the methods, we created a garden with ridges and furrows, cultivated proper vegetables, and evaluated their growth. Results: Raphanus sativus, Allium fistulosum L., Brassica juncea, and Spinacia oleracea grown on ridges showed higher growth than those grown on a conventional flat field. The growth of Hordeum vulgare var. hexastichon and Triticum aestivum L. on furrows was also slightly higher. This proved that the method could make up for the deficiencies of barley and wheat that are weak against winds and cold and are easily destroyed by the spring rains. Conclusion: Ridge and furrow cultivation derived from Gyeonjongbeop can be an efficient urban farming system compared to the conventional cultivation in flat fields. The system can use fallow lands in winter for year-round urban farming. In addition, the application of the traditional farming system can enhance the humanistic value of urban farming.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.5
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• pp.1102-1107
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• 2004

Fingerprint Recognition System is made up of Off-line treatment and On-line treatment; the one is registering all the information of there trieving features which are retrieved in the digitalized fingerprint getting out of the analog fingerprint through the fingerprint acquisition device and the other is the treatment making the decision whether the users are approved to be accessed to the system or not with matching them with the fingerprint features which are retrieved and database from the input fingerprint when the users are approaching the system to use. In matching between On-line and Off-line treatment, the most important thing is which features we are going to use as the standard. Therefore, we have been using “Delta” and “Core” as this standard until now, but there might have been some deficits not to exist in every person when we set them up as the standards. In order to handle the users who do not have those features, we are still using the matching method which enables us to make up of the spanning tree or the triangulation with the relations of the spanned feature. However, there are some overheads of the time on these methods and it is not sure whether they make the correct matching or not. Therefore, I would like to represent the more correct matching algorism in this paper which has not only better matching rate but also lower mismatching rate compared to the present matching algorism by selecting the line segment connecting two minutiae on the same ridge and furrow structures as the reference point.