• Journal of Information Technology Applications and Management
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• v.25 no.1
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• pp.33-45
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• 2018

This study was initiated to investigate the essential skill factors for system designers in order to build the right information systems. The predicted variables are mathematical modeling skill, verbal modeling skill, general IT knowledge, and general business knowledge. The test was administrated to 43 students majoring in Management Information Systems (MIS) at Hannam University, South Korea. In this study, we used Pearson Correlation Analysis to test the relationships among variables. Overall, our study suggested that there is a strong positive relationship between mathematical and verbal skills and IS modeling ability. A marginal positive relationship between the general IT knowledge and IS modeling ability was also found. Unexpectedly, there was no significant relationship between general business knowledge and IS modeling ability.

• Atmosphere
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• v.30 no.3
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• pp.293-309
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• 2020

There are lots of indices that define the intensity of East Asian summer monsoon (EASM) in climate systems. This paper assesses the prediction skill for EASM indices in a Global Seasonal Forecasting System (GloSea5) that is currently operating at KMA. Total 5 different types of EASM indices (WNPMI, EAMI, WYI, GUOI, and SAHI) are selected to investigate how well GloSea5 reproduces them using hindcasts with 12 ensemble members with 1~3 lead months. Each index from GloSea5 is compared to that from ERA-Interim. Hindcast results for the period 1991~2010 show the highest prediction skill for WNPMI which is defined as the difference between the zonal winds at 850 hPa over East China Sea and South China Sea. WYI, defined as the difference between the zonal winds of upper and lower level over the Indian Ocean far from East Asia, is comparatively well captured by GloSea5. Though the prediction skill for EAMI which is defined by using meridional winds over areas of East Asia and Korea directly affected by EASM is comparatively low, it seems that EAMI is useful for predicting the variability of precipitation by EASM over East Asia. The regressed atmospheric fields with EASM index and the correlation with precipitation also show that GloSea5 best predicts the synoptic environment of East Asia for WNPMI among 5 EASM indices. Note that the result in this study is limited to interpret only for GloSea5 since the prediction skill for EASM index depends greatly on climate forecast model systems.

• Journal of Engineering Education Research
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• v.13 no.1
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• pp.87-97
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• 2010

The goal of this study is to develop a skill system for the areas of textile and clothing among the skill systems that require basic examination in the development of skill standards. More specifically, the study aims to classify skills in the areas of textile and clothing and to develop respective skill level. We classified skills and created the skill level through a study of documents, interview with experts and in-depth discussions with expert group centering on terminologies commonly used in the industrial settings. As a result of skill classification, we were able to classify skills into three categories in medium-scale classification, 10 categories in small-scale classification, and again into total 22 categories. We classified the skill level in the areas of textile and clothing into 7 stages. Based on the skill system, we provided definition of skill and skill group, definition of each different skill, and performance standard by skill and level.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.1-6
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• 2008

Database Administrators (DBA) play a role in designing and maintaining database systems. It is one of the Information Technology (IT) jobs in high demand and is important in developing and maintaining Information Systems (IS). Little research has been conducted on the skill requirements for a DBA. By collecting and analyzing job ads posted on the websites of Fortune 500 companies, we investigated the skill requirements needed for today's DBA.

• Asia pacific journal of information systems
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• v.14 no.4
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• pp.71-85
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• 2004

Due to exponentially growing threats of cyber attacks, many organizations have begun to recognize the importance of information security. There is an explosion in demand for experienced ISMs(Information Security Managers) and ISSDs(Information Security System Developers). To educate ISMs and ISSDs, identifying the specific knowledge and skill for information security professional is critical. This paper identifies 15 items of knowledge and skill for ISMs and ISSDs using a simplified Delphi technique and categories them. The results of this paper could be used in determining what kinds of knowledge and skill should be included in the curriculum of information security programs.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.155-169
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• 2011

Adolescent volunteer, a kind of experience activity, can have positive influence on the improvements of sound personality, community ownership, and leadership living skill ability. However, its purpose is today declining because it tends to be only used for the adolescent university admission. This study investigates the impacts of adolescents' volunteer participation motivation(selfish and selfless) on leadership living skill ability(human relationship skill, group activity skill, learning skill, and self-understanding skill) and satisfaction. The study conducted a survey and utilized 222 questionnaires to examine these relationships. The results are as follows. First, selfless participation motivation had significant impacts on four leadership living skill abilities and satisfaction. Second, selfish participation motivation had no significance on four leadership living skill abilities, but had negative significance on satisfaction.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.19-23
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• 1996

A full automatic interpretation of awake electroencephalogram (EEG) had been developed by the authors and presented at the past KACCs in series. The automatic EEG interpretation consists of four main parts: quantitative EEG interpretation, EEG report making, preprocessing of EEG data and adaptable EEG interpretation. The automatic EEG interpretation reveals essentially the same findings as the electroencephalographer's (EEG's), and then would be applicable in clinical use as an assistant tool for EEGer. The method had been developed through collaboration works between the engineering field (Saga University) and the medical field (Kyoto University). This work can be understood as an artificial realization of human expert skill. The procedure for the artificial realization was summarized in a methodology for artificial realization of human skill which will be applicable in other fields of systems control.

• Atmosphere
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• v.31 no.2
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• pp.215-227
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• 2021

The necessity of the prediction on the Seasonal-to-Subseasonal (S2S) timescale continues to rise. It led a series of studies on the S2S prediction models, including the Global Seasonal Forecasting System Version 5 (GloSea5) of the Korea Meteorological Administration. By extending previous studies, the present study documents sea surface temperature (SST) prediction skill around the Korean peninsula in the GloSea5 hindcast over the period of 1991~2010. The overall SST prediction skill is about a week except for the regions where SST is not well captured at the initialized date. This limited prediction skill is partly due to the model mean biases which vary substantially from season to season. When such biases are systematically removed on daily and seasonal time scales the SST prediction skill is improved to 15 days. This improvement is mostly due to the reduced error associated with internal SST variability during model integrations. This result suggests that SST around the Korean peninsula can be reliably predicted with appropriate post-processing.

• Information Systems Review
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• v.7 no.2
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• pp.129-139
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• 2005

Information technology (IT) managers play a very important role in implementing information systems as well as in organizing IT resources. In order to adequately prepare candidates for such positions, it is important that one determine exactly what skills are required for success in this position. This study is intended to reveal the most up-to-date skill requirements for IT managers through analyzing job ads posted on online job boards in South Korea.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1741-1744
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• 2005

In this paper, we proposed an adaptive skill element based on error signal. We assume that human progress their skills of actions based on errors, then an inverse dynamic of human motion have to changes. Human controller consists from feedback element (FB) and feed forward element (FF) and their elements cooperate to control actions. Under the assumption, we vary the connection of FF and FB by error signal. We propose the index function for change of a skill parameter. From results of the numerical simulations for the varying skill parameter with index function, we consider that the position error given by our vision changes the skill element and we confirm that the position error is the one of the estimate function for the improvement in our skill.