• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.140-143
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• 2004

The west coast of the Korean Peninsula is famous for its large tidal range (up to 9 m) and vast tidal flats. With comparison the sedimentary environments of open and close tidal flat using remote sensing, we select Kanghwa tidal flat and Hwang-Do tidal flat in Cheonsu Bay. Prior to surface sediment discrimination using remote sensing, sedimentary environments including intertidal OEM, hydraulic condition, and relationship between grain size and various tidal condition are investigated. Remote sensing has the potential to provide synoptic information of intertidal environments. The objectives of this study are: (i) to generate an intertidal digital elevation model (OEM) using the waterline method of Lansat TM/ETM+, (ii) to investigate the tidal channel distribution using texture analysis, and (iii) to analyze the relationship between surface grain size by using in-situ data and intertidal OEM and tidal channel density by using high-resolution satellite data such as IKONOS and Kompsat EOC. The results demonstrate that satellite remote sensing is an efficient and effective tool for a surface sediment discrimination and long term morphologic change estimation in tidal flats.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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• pp.809-820
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• 2011

VaR(Value at risk) is a measure of market risk management and needs to be estimated for multiple distributions. In this paper, Copula functions are used to generate distributions of multivariate random variables. The dependence structure of random variables is classified by the exchangeable Copula, fully nested Copula, partially nested Copula. For the earning rate data of four Korean industries, the parameters of the Archimedean Copula functions including Clayton, Gumbel and Frank Copula are estimated by using three kinds of dependence structure. These Copula functions are then fitted to to the data so that corresponding VaR are obtained and explored.

• ETRI Journal
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• v.25 no.5
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• pp.387-400
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• 2003

Since its launching on 21 December 1999, the Korea Multi-Purpose Satellite-I (KOMPSAT-I) has been successfully operated by the Mission Control Element (MCE), which was developed by the ETRI. Most of the major functions of the MCE have been successfully demonstrated and verified during the three years of the mission life of the satellite. This paper presents the operational performances of the various functions in MAPS. We show the performance and analysis of orbit determinations using ground-based tracking data and GPS navigation solutions. We present four instances of the orbit maneuvers that guided the spacecraft form injection orbit into the nominal on-orbit. We include the ground-based attitude determination using telemetry data and the attitude maneuvers for imaging mission. The event prediction, mission scheduling, and command planning functions in MAPS subsequently generate the spacecraft mission operations and command plan. The fuel accounting and the realtime ground track display also support the spacecraft mission operations.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1343-1346
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• 2005

In the cold rolling mill, coil breakage that generated in rolling process makes the various types of troubles such as the degradation of productivity and the damage of equipment. Recent researches were done by the mechanical analysis such as the analysis of roll chattering or strip inclining and the prevention of breakage that detects the crack of coil. But they could cover some kind of breakages. The prediction of Coil breakage was very complicated and occurred rarely. We propose to build effective prediction modes for coil breakage in rolling process, based on data mining model. We proposed three prediction models for coil breakage: (1) decision tree based model, (2) regression based model and (3) neural network based model. To reduce model parameters, we selected important variables related to the occurrence of coil breakage from the attributes of coil setup by using the methods such as decision tree, variable selection and the choice of domain experts. We developed these prediction models and chose the best model among them using SEMMA process that proposed in SAS E-miner environment. We estimated model accuracy by scoring the prediction model with the posterior probability. We also have developed a software tool to analyze the data and generate the proposed prediction models either automatically and in a user-driven manner. It also has an effective visualization feature that is based on PCA (Principle Component Analysis).

• The Journal of Information Systems
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• v.13 no.2
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• pp.65-88
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• 2004

This study is intended to identify success factors which influence the performance of the B2B e-marketplaces.Thestudyisfocused on the supply companies and conducted to provide local small businesses with guidelines to improve their competitiveness and to develop appropriate business strategies in the digital economy age. Based on the literature review, four characteristics which influence the performance of B2B e-marketplaces are identified. Such characteristics as strategic, operational, organizational, and product/service properties are then utilized to develop the survey questionaire. The data collection is first performed through e-mail and, after finding out the response rate was too poor to analyze the results, followed by visits to the companies which participate in e-marketplaces. SAS 8.1 is used for the data analysis. Demographic analysis is conducted to generate the general information of the companies responded, and factor analysis is performed for the validity test. Finally, multiple regression is used for the hypothesis testing. This study is expected to contribute to find out critical factors for the success of B2B e-marketplaces and suggest guidelines for local small businesses to develop an appropriate e-business strategy to improve their competitive position.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.1
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• pp.33-45
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• 2016

Purpose: This study was conducted to generate a grounded substantive theory of the adaptation process of nurses who return to work after taking parental leave. Methods: Individual in-depth interviews with 13 participants were conducted between June and September 2014. Participants were interviewed 1~3 times; interviews were continued until the data became saturated. Data were analyzed using Strauss and Corbin's grounded theory method. Results: The core category of experience of the process of adaptation as a nurse who returned to work after parental leave was 'trying to regain one's previous position'. Participants used five interactional strategies: 'preparing in advance', 'initiating relationships with colleagues', 'keeping a positive attitude', 'understanding parenting helpers', 'Taking burden off one's mind'. Conclusion: The results of this study provide a theoretical basis for the adaptation process of nurses returning to work after taking parental leave. The importance of improving nurses' attitudes to their co-workers who take parental leave is highlighted along with the necessity of providing a family-friendly work environment. These results can be used to develop supportive policies and programs for nurses who return to their work after parental leave.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.247-253
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• 2020

It has emerged Food-content among various forms of 1-person media through social media. Food-content influencer also market products through 1-person media, generating revenue through increased views and subscribers of 1-person media. It also sells products through sponsorship. In general, there is a profit structure through 1-person media viewing, but research on how restaurant companies generate profits directly through food-content is insufficient. In addition, research on converting subscribers to consumers through food-contents is minimal. In this paper, we propose an experiential application system based on the behavior of food-content creators. The proposed system collects and categorizes food-content information, and maps between highly related words to organize into keyword categories. The ontology tag-based concept network applied to the proposed system connects representative information by pre-extracting/mapping information related to information requests among a wide range of data. This method maps relevant food-content information to provide the user with data collected/storage in the form of an application. The user uses the application while watching the food eaten by the influencer and creator. And, it is meaningful that the user could be provided is provided with information about the food they want to eat.

• Korean Journal of Adult Nursing
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• v.19 no.4
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• pp.583-592
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• 2007

Purpose: The purposes of this study were to explore and describe the use of restraint on patients and to generate a grounded theory of how the use of restraint affects patients who have been restrained. Methods: Interview data from seven patients with physical restraint was analyzed using the Strauss and Corbin's grounded theory method. Data were collected and analyzed simultaneously. Unstructured and in-depth interviews were conducted retrospectively with patients recalling their memories of ICU following their transfer to general unit. Results: 'Safety belt' was emerged as a core category and it reflected that physical restraint provided a sense of security to patients. On the basis of core category, a model of the experience process of restrained patients in ICU was developed. The experience process were categorized into four stages: resistance, fear, resignation, and agreement. Stages of these proceeds appeared to have been influenced by the nurses' attitude and caring behavior such as the frequency of nurse-patient interaction, repetition of explanation, and empathetic understanding. Conclusion: These findings indicate that patients have mixed feelings towards restraint use, although negative feelings were stronger than positive ones. The result of this study will help nurses make effective nursing intervention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.2292-2309
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• 2017

Ciphertext policy attribute-based encryption (CP-ABE) is a useful cryptographic technology for guaranteeing data confidentiality but also fine-grained access control. Typically, CP-ABE can be divided into two classes: small universe with polynomial attribute space and large universe with unbounded attribute space. Since the learning with errors over rings (R-LWE) assumption has characteristics of simple algebraic structure and simple calculations, based on R-LWE, we propose a small universe CP-ABE scheme to improve the efficiency of the scheme proposed by Zhang et al. (AsiaCCS 2012). On this basis, to achieve unbounded attribute space and improve the expression of attribute, we propose a large universe CP-ABE scheme with the help of a full-rank differences function. In this scheme, all polynomials in the R-LWE can be used as values of an attribute, and these values do not need to be enumerated at the setup phase. Different trapdoors are used to generate secret keys in the key generation and the security proof. Both proposed schemes are selectively secure in the standard model under R-LWE. Comparison with other schemes demonstrates that our schemes are simpler and more efficient. R-LWE can obtain greater efficiency, and unbounded attribute space means more flexibility, so our research is suitable in practices.

• Journal of Korean Public Health Nursing
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• v.31 no.2
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• pp.284-295
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• 2017

Purpose: This study was conducted to compare the hypertension management between a non-elderly group and elderly group of hypertension patients in Community residents. The study also sought to generate strategies for increasing the hypertension management of residents using Community health center. Methods: Data on the general characteristics and hypertension management from 381 hypertension patients between non-elderly and elderly, living in P city, Gyeonggi Province and C city, Chungnam Province. South Korea, were collected based on a structured questionnaire, The data were analyzed using the SPSS 20.0 statistics program. Results: The use of a Community health center in the non-elderly and elderly groups showed a statistically significant difference in facility excellence and cheaper cost. Hypertension management was measured every day, The daily blood pressure and physician counseling was performed according to the changes in blood pressure. The management of hypertension medication in a community health center provided for hypertensive patients can be evaluated as an efficient service. Conclusion: The self-management ability of hypertension needs to be improved. In particular, especially, the elderly managed by the Community health center have good accessibility and a good alternative for the treatment cost. Therefore, it is necessary to provide support and measures to make hypertension management safer.