• 대한공업교육학회지
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• v.39 no.1
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• pp.143-163
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• 2014

This study developed a National Competency Standard(NCS) regarding the casino operations management based on the manual for developing National Competency Standard of 13 years and a revised classification system chart of the National Competency Standard. For the research method, this study developed a national competency standard of relevant jobs after going through review, consultation, modification, supplementation, and reporting procedures 10 times with development experts of the National Competency Standard, the industrial setting professionals, education and training experts, qualification(job analysis) experts, facilitators, and a working group of job verification committee based on the phased range and DACUM procedure of study. The major development results of this study are as follows. First, this study selected and defined duties based on the revised classification system chart of the National Competency Standard, then drew and developed total 8 ability units based on the applicable duties. Secondly, based on the developed ability units, total 27 ability unit factors were deduced and developed. Thirdly, a standard system by ability unit factor was developed based on the level of the national competency standard and revised classification system chart, then this study deduced and developed a supra-domain of the standard system by competency units using the standard tranquility value by these competency unit factors. Based on such development contents and guidelines for the national competency standard ability unit classification number, this study deduced and developed category numbers by relevant competency unit. Fourthly, total 27 relevant performance standard by competency units and knowledge, skill, and attitude were deduced and developed. Fifthly, this study deduced and developed a scope of application, work situation, evaluation guide, core competency, and development history in reference to the total 8 relevant competency units based on the duties.

• Journal of People, Plants, and Environment
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• v.22 no.2
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• pp.209-217
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• 2019

Generally human sensibility is expressed in a certain language. To discover the sensibility of visitors in relation to the forest environment, it is first necessary to determine their exact meanings. Furthermore, it is necessary to sort these terms according to their meanings based on an appropriate classification system. This study attempted to develop a classification system for forest sensibility vocabulary by extracting Korean words used by forest visitors to express their sensibilities in relation to the forest environment, and established the structure of the system to classify the accumulated vocabulary. For this purpose, we extracted forest sensibility words based on literature review of experiences reported in the past as well as interviews of forest visitors, and categorized the words by meanings using the Standard Korean Language Dictionary maintained by the National Institute of the Korean Language. Next, the classification system for these words was established with reference to the classification system for vocabulary in the Korean language examined in previous studies of Korean language and literature. As a result, 137 forest sensibility words were collected using a documentary survey, and we categorized these words into four types: emotion, sense, evaluation, and existence. Categorizing the collected forest sensibility words based on this Korean language classification system resulted in the extraction of 40 representative sensibility words. This experiment enabled us to determine from where our sensibilities that find expressions in the forest are derived, that is, from sight, hearing, smell, taste, or touch, along with various other aspects of how our human sensibilities are expressed such as whether the subject of a word is person-centered or object-centered. We believe that the results of this study can serve as foundational data about forest sensibility.

• Proceedings of the KSRS Conference
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• v.2
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• pp.525-528
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• 2006

The remote sensing data can be used to calculate the water depth especially in the clear and shallow water area. In this study, the SPOT data was used for bathymetric mapping in Dong-Sha atoll, located in northern South China Sea. The in situ sea depth was collected by echo sounder as well. A global positioning system was employed to locate the accurate sampling points for sea depth. An empirical model between measurement sea depth and band digital count was determined and based on least squares regression analysis. Both non-classification and unsupervised classification were used in this study. The results show that the standard error is less than 0.9m for non-classification. Besides, the 10% error related to the measurement water depth can be satisfied for more than 85% in situ data points. Otherwise, the 10% relative error can reach more than 97%, 69%, and 51% data points at class 4, 5, and 6 respectively if supervised classification is applied. Meanwhile, we also find that the unsupervised classification can get more accuracy to estimate water depth with standard error less than 0.63, 0.93, and 0.68m at class 4, 5, and 6 respectively.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.376-380
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• 2007

The national R&D information of ministries which define shared information related to national R&D projects has been derived. Among them, 21 percent are code items which can provide important standards to classify information and put out S&T statistics. Therefore, it is necessary to standardize the code items that are differently defined and managed by each research management specialized organization. For this, the National Science & Technology Information System(NTIS) intends to provide a clear code standard for the national R&D information of ministries by defining the NTIS Standard Code. In this study, we also describe the classification service to manage the NTIS Standard Code, National Standard Science and Technology Classification Codes which have been used for national R&D projects's survey and analysis as a unified way.

• Journal of Korea Multimedia Society
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• v.19 no.7
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• pp.1197-1207
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• 2016

The purpose of this study was to develop an evidence-based Nursing Process System on Nursing Diagnosis, Nursing Outcomes, and Nursing Interventions Classification targeting nurse students. We use standard classification-focused research data on the basis of Nursing Diagnosis Classification established by NANDA (North American Nursing Diagnosis Association), NOC (Nursing Outcomes Classification) and NIC (Nursing Interventions Classification) mainly developed by Iowa Sate University. The existing research methods are difficult to be applied the consistent nursing process, since such methods need to repeatedly enter the same nursing process without systematic guidelines. But, this study was coded data of standardized nursing process in accordance with the 10 clinical condition in order to implement the nursing process macro, and developed a system that reflects the needs of nursing educators. Therefore, nurse students can improve clinical decision-making ability, and naturally learn the nursing process through a system developed.

• Clean Technology
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• v.11 no.2
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• pp.91-104
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• 2005

We studied more effective Environmental R&D management system which can be used in the budget allocation of the national R&D budget by the newly opened governmental administration system of science and technology. As a first step, we surveyed classification systems for the environmental technology which can be applied to the analysis of the national R&D budget. Each organization, either inland and oversea, has its own classification system for the environmental technology. However, we found that each systems can lead different results. It would be beneficial if an efficient standard classification system could be generated. The new system classified the environmental technology by the environmental management area(media) like most present systems rather than by the technical characteristics. The new system included all the areas of the environmental management and maintained consistent principles. The new system would help efficient management of the national R&D of the environment technology, if the national standard classification can be changed by the new system. To the researchers and professionals the new system will help them noticing the status of the environmental R&D and avoiding duplicate research, so that they can do research more efficiently and can achieve maximized results.

• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.95-115
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• 2022

The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

• Journal of the Korea Institute of Building Construction
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• v.22 no.5
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• pp.463-471
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• 2022

The construction industry has a structure in which information asymmetry problems are complexly scattered compared to other industries. Since the construction industry classification system serves as a guideline for entering the construction market and can provide as a standard for construction consumers to select a supplier who can provide appropriate services, when judging the operation purpose or purpose of the construction industry registration system, it is very important to set up the system by rationally reviewing it. The purpose of this study is to examine the possibility of improvement in consideration of the risk factors related to the domestic construction industry registration industry classification system. To this end, we will conduct a case study on the construction industry classification system operated by overseas construction industry licenses or registration systems in Japan, the United States, and Australia, and compare it with the domestic industry classification system to derive implications and directions for improvement.

• Korean Journal of Clinical Pharmacy
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• v.22 no.3
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• pp.260-267
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• 2012

The objective of this study was to investigate drug classification system in Korea and other developed countries. Laws and regulations of Korea regarding the system were retrieved from sources posted in Ministry of Government Legislation. We also reviewed previous research reports performed as part of government's effort to reform the system The system in the foreign countries was retrieved from the official homepage operated by each country's government. There have been two research funded by Korean government, which strongly suggested that the system should be reformed. However, we found that the system was never reformed and still effective. Drug classification system in US and most western countries consists of two categories, i.e., prescription drugs and non-prescription drugs except UK, which classifies into three categories: Prescription Only Medicines, Pharmacy Medicines, and General Sales List Medicines. Interestingly, in Japan, non-prescription drugs are further classified into three groups: Group 1, 2, and 3. Recently, Ministry of Health and Welfare (MOHW) in Korea proposed a plan to reclassify all the approved drugs according to purportedly rational and scientific criteria. However, the plan does not include reform of the existing laws and regulations, which appears that it is just one-time action rather than a sustainable administration backed up by law. Therefore, it is recommended that Korean MOHW take appropriate action on laws and regulations with regard to the system to meet global harmonization standard.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1809-1816
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• 2021

In order to identify the latest research trends using data related to national R&D projects and to produce and utilize meaningful information, the application of automatic classification technology was also required in the national R&D information service, so we conducted research to automatically classify and recommend research field. About 450,000 cases of national R&D project data from 2013 to 2020 were collected and used for learning and evaluation. A model was selected after data pre-processing, analysis, and performance analysis for valid data among collected data. The performance of Word2vec, GloVe, and fastText was compared for the purpose of deriving the optimal model combination. As a result of the experiment, the accuracy of only the subcategories used as essential items of task information is 90.11%. This model is expected to be applicable to the automatic classification study of other classification systems with a hierarchical structure similar to that of the national science and technology standard classification research field.