• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.64-73
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• 2018

The main purpose of this study is to assess the effectiveness of Meungri-Saju analysis concerning career counseling. Initially, we searched for 'fortune quality' of self-employed people whose works went out of business., We investigated what was weak or strong of 'fortune qaulity' because it gives you interests and talents as Holland says, and then we checked their one-year and 10-year personal circumstances, so called Saewoon, Deawoon that implies your own private circumstances as Super says. In addition to this, we exmained Woulgi because it predicts condition of change of the jobs. Study results were as follows: There were failed businesses that had serious weaknesses in wealth structures. In addition, Saewoon, Deawoon were terrible conditions because of Yongshin' Hap, Hyung, Chung. This study concluded that they had to be gone out of business. It is clear that you should check your wealth structure and Saewoon, Deawoon when you open your business. This study concludes that Meungri-Saju analysis is effective as a new model of career counseling.

• Korean Journal of Comparative Education
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• v.24 no.5
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• pp.97-125
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• 2014

The necessities of a plan for the labor force in the school temporary workers are superior in education practice. In a view of government, a new paradigm and method for them such as employment stability, better treatment and fewer tasks have been sought. However, the information for them is not enough. While seeing the main issue to manage an temporary workers and the feature of the system for them in schools of Holland, Germany and Sweden, this study shows an effective plan for not only the labor force in the school temporary workers and but their skill development. Based on the result of a plan in education office, supporting office, and schools this study proposes the political and institutional method to revitalize the efficient management of an temporary workers in school.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.4
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• pp.265-275
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• 2011

Estimation of wave height is the most important factor in the design of coastal structures such as breakwaters. In the present study, typhoon wind distribution was constructed by applying the parametric model of Holland (1980), and numerical simulations on the typhoon-generated waves were carried out using the WAM. The typhoons which affected the southern coast of the Korean Peninsula and several hypothetical typhoons were selected to construct the training sets. Design wave heights were estimated using the empirical simulation technique for various return periods and wave directions. The estimated design wave heights were compared with those by the peaks-over-threshold method and the results of KORDI(2005).

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.26 no.1
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• pp.16-24
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• 2014

Long-term measured wind data are absolutely necessary to estimate extreme offshore wind speed. However, it is almost impossible to collect offshore wind measured data. Therefore, typhoon simulation is widely used to analyze offshore wind conditions. In this paper, 74 typhoons which affected the western sea of Korea during 1978-2012(35 years) were simulated using Holland(1980) model. The results showed that 49.02 m/s maximum wind speed affected by BOLAVEN(1215) at 100 m heights of HeMOSU-1 (Herald of Meteorological and Oceanographic Special Unit - 1) was the biggest wind speed for 35 years. Meanwhile, estimated wind speeds were compared with observed data for MUIFA, BOLAVEN, SANBA at HeMOSU-1. And to estimate extreme wind speed having return periods, extreme analysis was conducted by assuming 35 annual maximum wind speed at four site(HeMOSU-1, Gunsan, Mokpo and Jeju) in western sea of the Korean Peninsular to be Gumbel distribution. As a results, extreme wind speed having 50-year return period was 50 m/s, that of 100-year was 54.92 m/s at 100 m heights, respectively. The maximum wind speed by BOLAVEN could be considered as a extreme winds having 50-year return period.

• Proceedings of the KSRS Conference
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• v.1
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• pp.142-145
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• 2006

The synergism of active and passive microwave techniques for hurricane ocean wind remote sensing is explored. We performed the analysis of Windsat data for Atlantic hurricanes in 2003-2005. The polarimetric third Stokes parameter observations from the Windsat 10, 18 and 37 GHz channels were collocated with the ocean surface winds from the Holland wind model, the NOAA HWind wind vectors and the Global Data Assimilation System (GDAS) operated by the National Center for Environmental Prediction (NCEP). The collocated data were binned as a function of wind speed and wind direction, and were expanded by sinusoidal series of the relative azimuth angles between wind and observation directions. The coefficients of the sinusoidal series, corrected for atmospheric attenuation, have been used to develop an empirical geophysical model function (GMF). The Windsat GMF for extreme high wind compares very well with the aircraft radiometer and radar measurements.

• Fashion, Industry and Education
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• v.16 no.2
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• pp.1-16
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• 2018

This study explored men's choice of fashion as a college major and, subsequently, a non-traditional career path. Such investigation is important to gain a better understanding of the motives and processes of selecting a non-traditional college major and subsequent career path. This research consulted several theoretical frameworks to guide the development of research questions and help interpret the findings of the study. Specifically, our study builds upon Holland's trait theory (1982), Gottfredson's (1981) circumscription theory, Farmer's (1985) model of career motivation, and Simpson's (2005) typology of men's non-traditional career entry. A qualitative method was used to explore men's experiences of selecting fashion as an academic major in college and deciding to pursue a career in the traditionally female-dominated field. Following the analysis of 22 individual interviews with male upperclassmen majoring in fashion, three topical areas emerged and we proposed a model of male students' path to a non-traditional college major. The model explains male students' dynamics of entering a non-traditional college major, the role of personal and social factors in the decision process as well as the role of future career orientation when choosing to study fashion as an academic major.

• Journal of Power System Engineering
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• v.13 no.2
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• pp.63-70
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• 2009

This paper discusses the influence on long-tenn predictions of the ship response in ocean by using the Global Wave Statistics data, GWS, and wave information from the remote sensing satellites. GWS's standard scatter diagrams of significant wave height and zero-crossing wave period are suggested to be corrected to a round number of 0.01/1000 fitted with a statistical analytic model of the conditional lognormal distribution for zero-crossing wave period. The GEOSAT satellite data are utilized which presented by I. R. Young and G. J. Holland (1996, named as GEOSAT data). At first, qualities of this data are investigated, and statistical characteristic trends are studied by means of applying known probability distribution functions. The wave height data of GEOSAT are compared to the data observed onboard merchant ships, the data observed by measure instrument installed on the ocean-going container ship and so on. To execute a long-tenn prediction of ship response, joint probability functions between wave height and wave period are introduced, therefore long-term statistical predictions are executed by using the functions.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.361-367
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• 1998

The main two applications of the Genetic Algorithms(GA) are the optimization and the machine learning. Machine Learning has two objectives that make the complex system learn its environment and produce the proper output of a system. The machine learning using the Genetic Algorithms is called GA machine learning or genetic-based machine learning (GBML). The machine learning is different from the optimization problems in finding the rule set. In optimization problems, the population of GA should converge into the best individual because optimization problems, the population of GA should converge into the best individual because their objective is the production of the individual near the optimal solution. On the contrary, the machine learning systems need to find the set of cooperative rules. There are two methods in GBML, Michigan method and Pittsburgh method. The former is that each rule is expressed with a string, the latter is that the set of rules is coded into a string. Th classifier system of Holland is the representative model of the Michigan method. The classifier systems arrange the strength of classifiers of classifier list using the message list. In this method, the real time process and on-line learning is possible because a set of rule is adjusted on-line. A classifier system has three major components: Performance system, apportionment of credit system, rule discovery system. In this paper, we solve the food search problem with the learning and evolution of an artificial ant using the learning classifier system.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.147-147
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• 2017

본 연구에서는 2003년 태풍 'MAEMI'에 의해 피해를 가장 많이 입은 경남 마산시를 중심으로 폭풍해일 범람도를 작성하였다. 해양과 하천 하류부가 만나는 마산시에서는 해일, 조석, 하천을 동시에 고려해야 하므로 이에 대한 단계적 적용을 통해 범람 중첩효과를 검토하였다. 본 연구에 사용된 수치모델은 네덜란드 Deltares사에서 개발한 준3차원 해수유동 모델 Delft3D이다. Delft3D는 폭풍해일 이외 지진해일, 부유물 이송, 오염물 확산 등 다양한 분야에 적용 가능하며, 파랑, 조석력, 바람에 의한 전단력, 온도, 염도에 의한 밀도류, 대기압 변화, 조간대 모의 등 다양한 영향을 고려할 수 있다. 수치모의시 모델의 안정성과 효율성을 높이기 위해 다중격자기법을 사용(최소 25m 격자)하였으며, 수심 자료는 국토지리정보원 수치지도와 국립해양조사원 수치해도의 수평 수직적 통합을 통해 구성하였다. 태풍 'MAEMI'의 Best Track은 기상청에서 제공하는 3시간 간격의 중심기압, 풍속, 중심위치를 Holland's Model에 적용하여 계산하였다. 조석효과를 고려하기 위해 개방경계에서 TPXO 7.2를 사용한 분조값을 입력하였다. 또한 하천의 흐름을 효과적으로 구현하기 위해 하천 단면에서의 동적 수위경계조건(또는 유량경계조건)을 추가적으로 부여하였다. 수치해석결과, 마산 수위 관측소에서 관측된 태풍 'MAEMI'의 해일고와 유사한 결과가 산출되었다. 범람역 해석결과는 해일, 조석, 하천을 동시적으로 고려하였을 경우에 실제 침수흔적도인 마산시재해침수지도와 가장 유사한 결과를 보였다.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.508-519
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• 2021

The purpose of this study was to develop an ICT education program using films to understand and expand of the Interpersonal Caring Theory (ICT). The study was conducted from February 2020 to October 2020. The films were selected by analyzing 10 elements of ICT and the program was developed according to Kolb's Experience Learning Model. 11 experienced nurses participated in the pilot operation of the program and evaluated the validity of the films as experts. The films selected for the ICT education program included The Blind Side (Noticing), Babette's Feast (Participation), Good Will Hunting (Sharing), The King's Speech (Active-listening), The Cure (Companioning), Mr. Holland's Opus (Complimenting), Patch Adams (Comforting), The Shawshank Redemption (Hoping), Mission (Forgiving), The Throne (Accepting). The program consisted of a total of 12 sessions, and each session included discussion questions for the steps of the Experimental Learning Model. After the program was piloted, it was found that the selected films were considered appropriate (I-CVI=0.98) as a result of evaluating the feasibility of films selection according to ICT elements. The developed ICT education program using films can be used to enhance caring competencies of nurses and nursing college students.