• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.335-339
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• 2005

Digital elevation models(DEM) were generated from SPOT-5 HRG supermode imagery through photogrammetric processing. The reference DEMs were obtained from digital topographic maps of 1/5000 scaleas for analyzing the accuracy of the generated DEMs. The DEMs extracted from HRG stereo image data were compared with digital topograpic map DEMs on several test sections. And digital surface models(DSM) and 3D building model was produced.

• Journal of Ocean Engineering and Technology
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• v.8 no.2
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• pp.64-79
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• 1994

In this study, terrain classification, which was done by using the quantitative classification parameters and suitable interpolation method was applied to improve the accuracy of digital elevation models, and to increase its practical use of aerial photogrammetry. A terrain area was classified into three groups using the quantitative classification parameters to the ratio of horizontal, inclined area, magnitude of harmonic vectors, deviation of vector, the number of breakline and proposed the suitable interpolation. Also, the accuracy of digital elevation models was improved in case of large grid intervals by applying combined interpolation suitable for each terrain group. As a result of this study, I have an algorithm to perform the classification of the topography in the area of interest objectively and decided optimal data interpolation scheme for given topography.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.393-395
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• 2003

The changes of DEMs(Digital Elevation Models) will be detected to correct the information of DEMs and/or to get the information about themselves. This study suggests the evaluation of DEM using correlation coefficient value between the target and the reference DEMs for detect the changes.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.4 no.1
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• pp.43-48
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• 1986

To improve the accuracy of the interpolation point of the digital terrain models, this paper compared the methods of terrain data acquisition and the equations of the curved surface

• Journal of Digital Convergence
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• v.11 no.4
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• pp.467-472
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• 2013

Recently, the value of ICT-based medical devices, equipments, software and service development are is increased according to strengthening the convergence among ICT, medical technologies and services. This paper presents the new convergence business models by applying cloud service to medical industry. In order to develop the new convergence business models, we checked the validity and feasibility through analyzing the medical market environments such as medical data backup, medical regulation etc. and present the new convergence business models and the direction of commercial business models for customer acquisition, market expansion and competitiveness improvement. This study is to provide the guidelines for establishing the core capacity strengthening strategy and partnership cooperation strategy when we design a new convergence business models in various industrial fields.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.917-923
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• 2012

We perform a comparison of time series models that include seasonal ARIMA, Fractional ARIMA, and Holt-Winters models; in addition, we also consider hourly and daily air passenger data. The results of the performance evaluation of the models show that the Holt-Winters methods outperforms other models in terms of MAPE.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.23-31
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• 2023

Research and interest in sustainable printing are increasing in the packaging printing industry. Currently, predicting the amount of ink required for each work is based on the experience and intuition of field workers. Suppose the amount of ink produced is more than necessary. In this case, the rest of the ink cannot be reused and is discarded, adversely affecting the company's productivity and environment. Nowadays, machine learning models can be used to figure out this problem. This study compares the ink usage prediction machine learning models. A simple linear regression model, Multiple Regression Analysis, cannot reflect the nonlinear relationship between the variables required for packaging printing, so there is a limit to accurately predicting the amount of ink needed. This study has established various prediction models which are based on CART (Classification and Regression Tree), such as Decision Tree, Random Forest, Gradient Boosting Machine, and XGBoost. The accuracy of the models is determined by the K-fold cross-validation. Error metrics such as root mean squared error, mean absolute error, and R-squared are employed to evaluate estimation models' correctness. Among these models, XGBoost model has the highest prediction accuracy and can reduce 2134 (g) of wasted ink for each work. Thus, this study motivates machine learning's potential to help advance productivity and protect the environment.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.243-265
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• 2009

The purpose of this study is to review recent studies on the service quality evaluation of digital libraries and to derive from research trends and several suggestions. Specifically, this paper compared and analyzed recent literatures on e-service quality evaluation of digital libraries in Korea with regard to service quality evaluation models and measure methodologies. Finally, this study offered two important suggestions. The one is the necessity of developing a standardized service quality evaluation model for digital libraries which is customized in korean environment and the other is establishment of development guideline of service quality evaluation for digital libraries.

• Fashion & Textile Research Journal
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• v.10 no.5
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• pp.721-730
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• 2008

The purpose of this study is to analyze the tech fatale fashion image in female models of mobile advertisements and to find the fashion characteristics. The tech fatale emerging as new culture code is a compound word of the femme fatale and technology. It is characteristics of the femme fatale, the post digital culture and the female leadership. The findings of the study were as follows : The tech fatale types were the independence, the transformation and the tradition. The independence was a self expression, appealed to visual image, was showed the coating fabric, denim, space look and street fashion and reflected the creativeness and digital generation. The transformation appealed to sexuality and was showed luster fabric, exposure, body-conscious, glam look. The voluptuous beauty represented the pride of the post digital generation. The tradition appealed to emotion and was showed pale color, simple line, soft texture fabric and a feminine Image. The meanings of tech fatale were the imagination, the public, the duality, the game, the purity and the recurrence. The formative characteristics reflect the mind of post digital generation who is against authority and pursues the human being worth such as the identity establishment and the pure emotion.

• Journal of Technologic Dentistry
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• v.34 no.2
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• pp.121-128
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• 2012

Purpose: The aim of this study was to determine the reliability and accuracy of measurements in digital models(CEREC$^{(R)}$ AC) compared to stone models. Methods: A master model(500B-1, Nissin Dental Product, Japan) with the prepared upper full arch tooth was used. Conventional impression and then stone model(n=10) were produced from this master model, and on the other hands, digital impressions were made with the CEREC$^{(R)}$ AC intra-oral scanner(n=10). One examiner measured two times the intercanine, intermolar distance, dental arch length. The stone model were measured using a digital caliper. The t-student test for paired samples and intraclass correlation coefficient(ICC) were used for statistical analysis. Results: The measurement of two methods showed very good reliability. At the intra-examiner reliability of measurement, ICC at the stone and CEREC$^{(R)}$ AC model were 0.81 and 0.94. The mean difference between measurements made directly on the stone models and those made on the CEREC$^{(R)}$ AC model was 0.20~0.28mm, and was statistically significant(P=0.001). Conclusion: These in vitro studies show that accuracy of the digital impression is similar to that of the conventional impression. These results will have to be confirmed in further clinical studies.