• Journal of Industrial Technology
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• v.31 no.A
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• pp.71-78
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• 2011

As the need for predicting the flood stage of river from torrential downpouring caused by climate change is increasingly emphasized, the study, centered on the area of Gangwon-do Inje-gun and Jeongseon-gun of local river, is to develop peak water level regression equation by rainfall. Through the correlation between rainfall and peak water level, it is confirmed that rainfall according to duration and peak water level have a high correlation coefficient. Based on this, a relational expression of rainfall and peak water level is verified and then the adequacy of the calculated expression is analyzed and the result shows that a very accurate prediction is not easy to achieve but a rough prediction of the change of water level at each point is possible.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.3
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• pp.109-114
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• 2005

The founding purpose of Business Incubation System is to induce those businessmen who have technology and promising business ideas but are lacking fund, information, and management skill, and to speed up their business establishment and enhance the level of success by providing them with managerial knowledge, production technology, design, and equipment. While some universities made Business Incubation Center to achieve the above purpose, some other universities, especially the local ones, believed that Business Incubation Center, if managed successfully, could be an accelerator picking up the sluggish local economies. This study studied the motivators that let them move in an Incubating Center, their request for support, their level of expert utilization, and the role of head of a Center. This study found a significant level of correlation among the variables such as industrial-educational cooperation, the development of common items, utilization of professors with matching majors, utilization of research professors, and transfer of technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.75-82
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• 2018

Recently, emerging countries have been paying attention to Korean economic development policy, trying to adopt the Korean regional innovation model. Korea is also interested in exporting its regional innovation model and enhancing economic cooperation with those countries. This paper aims to analyze the capacity-building programs of the Korean regional innovation model for emerging countries and suggests policies for it. For this purpose, the local innovators' participation patterns in the process of collaborative learning/networking/interaction are investigated with a focused group-interview method. From an analysis of the programs supported by Korean organizations, this study finds that the correlation coefficient between the training time of capacity building and the participation rate of local members' collaborative learning is very high (0.975). Since the correlation coefficient between the participation rates of collaborative learning and networking is relatively low (0.667), a policy to link local collaborative learning to networking should be provided. As the correlation coefficient between the participation rates of networking and interaction is high (0.950), networking is a key to regional innovation. This study recommends activity programs to promote networking among local innovators, rather than training and consulting programs. As introduced in the Chungnam Techno Park case, this study suggests that the capacity-building program should include programs to initiate a collaborative learning network, to create a local-demand, regional innovation model, and to operate the regional innovation platform, which should be done by local innovators in the emerging countries.

• Journal of Korean Society of Rural Planning
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• v.22 no.1
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• pp.81-91
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• 2016

This study identified the impact of the service quality of local food stores on customer satisfaction and revisiting intention of the customers as the interest into local foods is increasing. The main outcomes are as follows: First, many of the respondents said that they use the local food stores based on the trust in the origin of the products and good quality. Second, reliability and validity were suitable for factor analysis and the correlation had a positive (+) directivity. Third, reliability, assurance, empathy and tangibles were analyzed to have a positive (+) impact among the 5 aspects of service quality except for responsiveness. Fourth, customer satisfaction had a positive (+) impact on the intention to revisit the local food stores, and reliability, assurance and empathy had a positive (+) impact on revisiting intention at the statistical significance level except for responsiveness and tangibles among the 5 service quality aspects. Therefore, it is thought to be required to keep having interests into service quality to gain a competitive edge as a sustainable management system since the service quality of local food stores has impacts on customer satisfaction and intention to revisit.

• Publications of The Korean Astronomical Society
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• v.27 no.4
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• pp.275-279
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• 2012

We investigate the mid-infrared (MIR) to far-infrared (FIR) properties of a nearly complete sample of local active galactic nuclei (AGNs) detected in the Swift/Burst Alert telescope (BAT) all-sky hard X-ray (14-195 keV) survey, based on the cross correlation with the infrared survey catalogs of AKARI, IRAS and WISE. Out of 135 non-blazar AGNs in the Swift/BAT 9-month catalog, we obtain the MIR photometric data for 128 sources in either the 9, 12, 18, 22, and $25{\mu}m$ band. We find a good correlation between their hard X-ray and MIR luminosities ranging three orders of magnitude (42 < log ${\lambda}L_{\lambda}$(9, $18{\mu}m$) < 45), which is tighter than that with the FIR luminosities at $90{\mu}m$. Both X-ray unabsorbed and absorbed AGNs follow the same correlation, implying isotropic infrared emission, as expected in clumpy dust tori models rather than homogeneous ones.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1439-1446
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• 2011

This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the higher correlation feature information and Principle Component Analysis. Since the suggested method doesn't require a lot of computation than the method using existing geometric information or stereo image, the fact that it is very suitable for building the real-time system has been proved through the experiment. In addition, since the existing point to point method which is a simple distance calculation has many errors, in this paper to improve recognition rate the recognition error could be reduced by using several successive input images as a unit of recognition with K-Nearest Neighbor which is the improved Class to Class method.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.305-320
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• 2017

The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is used for computing the entire image, which overlooks the differences among local speckle patterns of the image. Besides, it is very laborious to find the optimal global subset size of a speckle image. In this paper, a self-adaptive and bidirectional dynamic subset selection (SBDSS) algorithm is proposed to make the subset sizes vary according to their local speckle patterns, which ensures that every subset size is suitable and optimal. The sum of subset intensity variation (${\eta}$) is defined as the assessment criterion to quantify the subset information. Both the threshold and initial guess of subset size in the SBDSS algorithm are self-adaptive to different images. To analyze the performance of the proposed algorithm, both numerical and laboratory experiments were performed. In the numerical experiments, images with different speckle distribution, different deformation and noise were calculated by both the traditional DIC and the proposed algorithm. The results demonstrate that the proposed algorithm achieves higher accuracy than the traditional DIC. Laboratory experiments performed on a substrate also demonstrate that the proposed algorithm is effective in selecting appropriate subset size for each point.

• Korean Journal of Plant Resources
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• v.7 no.2
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• pp.109-114
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• 1994

Followings are resulted through the analysis of the maln characters and the leaf ingredients, which is on the purpose of getting the basic materials to improve jaso and increase its production.Of the introduced varieties, Jukyeubjaso-stem length is 180cm, ear length is 37cm, No. of branches ofstem is 27, leaf length Is 16cm, leaf width Is 15cm-has better character than any other. Gurye local-stem length is 179cm, ear length is 38cm-is taken to be the best in the Geo-ecotypic.In the yield of leaf and seed, JukyeubJaso Is 727kg/10a, the greatest of all. In the leaf softness, allthe Inirorluced varieties are about 3.5 degrees, the Geo-ecotypic, about 2. The qualify of the introducedvat'ieties is better· than that of the Geo-ecotypic. Estimating on the chemical analysis of leaf,Jukyeubjaso has Protein 21.84%, Total carbohydrate 7.91%, Fe 126ppm, and Gurye lacal has Protein21.7 a, Total carbohydrate 8.4%, Fe 148ppm, expressing the highest. In correlation coefficients of leafchemical components, between protein and Total carbohydrate, Protein and Mn, protein and Fe, Pro-tein and Cu all the sorts show the positive correlation. Among them the Geo-ccoyplcs show the hlghestsignificance.

• Proceedings of the Korea Water Resources Association Conference
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• 1996.05a
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• pp.309-317
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• 1996

• Proceedings of the Korean Nuclear Society Conference
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• 1999.10a
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• pp.150.2-150
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• 1999