• 재활복지
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• v.20 no.4
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• pp.1-29
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• 2016

The research regarding employees' job satisfaction is one of the most important indicators of their vocational adjustment or outcome. The purpose of this study is to investigate the level of job satisfaction of South Korean masseurs with visual impairments and what variables predict to this. The work satisfaction model of Social Cognitive Career Theory (Lent Brown, 2006a) was grounded. a total of 221 South Korean masseurs with visual impairments participated in this study. Multiple regression analysis indicated that as masseurs in this study experienced having a better fit with their job regarding their monetary aspects, as they felt efficacious with their massage skills, as they felt more positive, and as they considered their job duties fit their education or skills they learned, their level of job satisfaction was higher. However, fit with their organization values or cultures or how much they get social support from their family, friends, or significant others did not predict their job satisfaction. In addition, the analysis supported the existence of a moderating effect of positive affect on the relationship between subjective fit and job satisfaction, in addition to the moderating effect of social support on the relationship between work related self-efficacy and job satisfaction among study participants. Implications for policy makers, researchers, and career counselors were also provided.

• Korean Security Journal
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• no.19
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• pp.1-21
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• 2009

Manpower demand forecasting in private security industry can be used for both policy and information function. At a time when police agencies have fewer resources to accomplish their goals, forming partnership with private security firms should be a viable means to choose. But without precise understanding of each other, their partnership could be superficial. At the same time, an important debate is coming out whether security industry will continue to expand in numbers of employees, or level-off in the near future. Such debates are especially important for young people considering careers in private security industry. Recently, ARIMA model has been widely used as a reliable instrument in the many field of industry for demand forecasting. An ARIMA model predicts a value in a response time series as a linear combination of its own past values, past errors, and current and past values of other time series. This study conducts a short-term forecast of manpower demand in private security industry using ARIMA model. After obtaining yearly data of private security officers from 1976 to 2008, this paper are forecasting future trends and proposing some policy orientations. The result shows that ARIMA(0, 2, 1) model is the most appropriate one and forecasts a minimum of 137,387 to maximum 190,124 private security officers will be needed in 2013. The conclusions discuss some implications and predictable changes in policing and coping strategies public police and private security can take.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.55-61
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• 2019

This study was conducted to identify the predictors of the choice of regional small and medium hospitals by identifying the job preference, recognition of small and medium hospitals. For this purpose, data were collected from September 2018 to October 2018 for nursing students attending 4 universities in Gwangju and Jeollanam - do, and total of 476 questionnaires were analyzed using the SPSS / WIN 24.0 program. The results showed that 66.0% of nursing students selected region local small and medium hospitals. The factors influencing the choice of region small and medium hospitals were high school region, nursing school performance and recognition of small and medium hospitals. In order to increase the employment rate of nursing students to the region small and medium hospitals, nursing educators should provide personalized career guidance to students who want to work in small and medium hospitals and hospital personnel should establish various public relations activities and marketing strategies to raise recognition of small and medium hospitals.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.5
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• pp.492-501
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• 2007

Coastal disasters have become one of the most important issues in every coastal country. In Korea, coastal disasters such as storm surge, sea level rise and extreme weather have placed many coastal regions in danger of being exposed or damaged during subsequent storms and gradual shoreline retreat. A storm surge is an onshore gush of water associated with a tow pressure weather system, typically in typhoon season. However, it is very difficult to predict storm surge height and inundation due to the irregularity of the course and intensity of a typhoon. To provide a new scheme of typhoon damage prediction model, the scenario which changes the central pressure, the maximum wind radius, the track and the proceeding speed by corresponding previous typhoon database, was composed. The virtual typhoon scenario database was constructed with individual scenario simulation and evaluation, in which it extracted the result from the scenario database of information of the hereafter typhoon and information due to climate change. This virtual typhoon scenario database will apply damage prediction information about a typhoon. This study performed construction and analysis of the simulation system with the storm surge/coastal inundation model at Masan coastal areas, and applied method for predicting using the scenario of the storm surge.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.61-74
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• 2022

Recently, youth unemployment, especially the unemployment problem of university graduates, has emerged as a social problem. Unemployment of university graduates is both a pan-national issue and a university-level issue, and each university is making many efforts to increase the employment rate of graduates. In this study, we present a model that predicts employment availability of D-university graduates by utilizing Machine Learning. The variables used were analyzed using up to 138 personal information, admission information, bachelor's information, etc., but in order to reflect them in the future curriculum, only the data after admission works effectively, so by department / student. The proposal was limited to the recommended ability to improve the separate employment rate. In other words, since admission grades are indicators that cannot be improved due to individual efforts after enrollment, they were used to improve the degree of prediction of employment rate. In this research, we implemented a employment prediction model through analysis of the core ability of D-University, which reflects the university's philosophy, goals, human resources awards, etc., and machined the impact of the introduction of a new core ability prediction model on actual employment. Use learning to evaluate. Carried out. It is significant to establish a basis for improving the employment rate by applying the results of future research to the establishment of curriculums by department and guidance for student careers.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.2
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• pp.119-126
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• 2024

This study aims to evaluate the feasibility of an early warning system for college dropout by machine learning the main patterns that affect college student dropout and to suggest ways to implement a system that can actively prevent it. For this purpose, a performance comparison experiment was conducted using five types of machine learning-based algorithms using data from the Korean Educational Longitudinal Study, 2005, conducted by the Korea Educational Development Institute. As a result of the experiment, the identification accuracy rate of students with the intention to drop out was up to 94.0% when using Random Forest, and the recall rate of students with the intention of dropping out was up to 77.0% when using Logistic Regression. It was measured. Lastly, based on the highest prediction model, we will provide counseling and management to students who are likely to drop out, and in particular, we will apply factors showing high importance by characteristic to the counseling method model. This study seeks to implement a model using IT technology to solve the career problems faced by college students, as dropout causes great costs to universities and individuals.

• Atmosphere
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• v.17 no.2
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• pp.207-216
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• 2007

The Moving-nest Typhoon Model (MTM) was installed on the Korea Meteorological Administration (KMA)'s CRAY X1E in 2006 and started its test operation in August 2006 to provide track and intensity forecasts of tropical cyclones. In this study, feasibility of the MTM forecast is compared with the Global Data Assimilation and Prediction System (GDAPS) of the KMA and the operational typhoon forecast models in the Japan Meteorological Agency (JMA), from the sixth tropical cyclone to the twentieth in 2006. Forecast skills in terms of the storm position error of the two KMA models were comparable, but MTM showed a slightly better ability. While both GDAPS and MTM produced larger errors than JMA models in track forecast, the predicted intensity was much improved by MTM, making it comparable to the JMA's typhoon forecast model. It is believed that the Geophysical Fluid Dynamics Laboratory (GFDL) bogus initialization method in MTM improves the ability to forecast typhoon intensity.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.29-29
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• 2017

Holland(1997)의 직업성격유형은 네 가지 가정을 기초로 한다. 이 가정에 기초하여 직업성격유형을 6가지 유형으로 분류하고, 사람의 성격과 그 사람의 작업환경에 대한 지식은 진로선택, 직업변경, 직업성취 등에 관해서 중요한 결과를 예측할 수 있다."라고 설명하고 있다. 이와 관련한 선행연구와 이론을 바탕으로 본 연구를 진행할 계획이다. 이와 같은 연구목적을 이루기 위한 내용은 다음과 같다. 첫째, 직업성격유형을 6가지 (R IASEC )로 분류한 이론을 본 연구의 대상인 일반 창업자(대학생, 청년, 장년 등)에게도 적용할 수 있는지 확인하고자 한다. 즉, Holland(1997)의 직업성격유형이론에 의한 현실적(Realistic)유형, 탐구적 (Invest igat ive)유형, 예술적 (Art ist ic)유형, 사회적 (Soc ia l)유형, 설득적(Enterprising)유형, 관습적(Conventional)유형의 분류를 본 연구에 적용하여 일반 창업자에게도 적용가능한지를 확인하고자 한다. 둘째, 일반 창업자의 직업성격유형, 직업가치유형 (내적직업가치, 외적직업가치)에 따른 창업성과에 대한 변수간의 구조를 분석하고자 한다. 구조 모형에서의 효과와 영향력을 분석하여 Holland의 직업성격유형과 창업성과 간의 관계를 규명하는 연구결과를 정립하고자 한다. 셋째, Holland의 직업성격유형 및 직업가치가 창업성과에 어떤 영향을 미치는지, 직업가치유형(내적직업가치 외적직업가치)이 창업성과에 어떤 영향을 미치는지 규명하고자 한다.

• Atmosphere
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• v.24 no.4
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• pp.503-514
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• 2014

Evaluation of predictability of numerical models for tropical cyclone track was performed using along-and cross-track component. The along-and cross-track bias were useful indicators that show the numerical models predictability associated with cause of errors. Since forecast errors, standard deviation and consistency index of along-track component were greater than those of cross-track component, there was some rooms for improvement in alongtrack component. There was an overall slow bias. The most accurate model was JGSM for 24-hour forecast and ECMWF for 48~96-hour forecast in direct position error, along-track error and cross-track error. ECMWF and GFS had a high variability for 24-hour forecast. The results of predictability by track type showed that most significant errors of tropical cyclone track forecast were caused by the failure to estimate the recurvature phenomenon.

• Atmosphere
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• v.21 no.2
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• pp.209-220
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• 2011

A new consensus algorithm for the prediction of tropical cyclone track has been developed. Conventional consensus is a simple average of a few fixed models that showed the good performance in track prediction for the past few years. Meanwhile, the consensus in this study is a weighted average of a few models that may change for every individual forecast time. The models are selected as follows. The first step is to find the analogous past tropical cyclone tracks to the current track. The next step is to evaluate the model performances for those past tracks. Finally, we take the weighted average of the selected models. More weight is given to the higher performance model. This new algorithm has been named as DYTRAP (DYnamic data-base Typhoon tRAck Prediction) in the sense that the data base is used to find the analogous past tracks and the effective models for every individual track prediction case. DYTRAP has been applied to all 2009 tropical cyclone track prediction. The results outperforms those of all models as well as all the official forecasts of the typhoon centers. In order to prove the real usefulness of DYTRAP, it is necessary to apply the DYTRAP system to the real time prediction because the forecast in typhoon centers usually uses 6-hour or 12-hour-old model guidances.