• Safety and Health at Work
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• 제11권2호
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• pp.152-158
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• 2020

Background: The Globally Harmonized System of Classification and Labeling of Chemicals (GHS) was developed to enhance chemical classification and hazard communication systems worldwide. However, some of the elements such as building blocks and data sources have the potential to cause "disharmony" to the GHS, particularly in its classification results. It is known that some countries have developed their own lists of classified chemicals in accordance with the GHS to "standardize" the classification results within their respective countries. However, the lists of classified chemicals may not be consistent among these countries. Method: In this study, the lists of classified chemicals developed by the European Union, Japan, Malaysia, and New Zealand were selected for comparison of classification results for carcinogenicity, germ cell mutagenicity, and reproductive toxicity. Results: The findings show that only 54%, 66%, and 37% of the classification results for each Carcinogen, Mutagen and Reproductive toxicants hazard classes, respectively are the same among the selected countries. This indicates a "moderate" level of consistency among the classified chemicals lists. Conclusion: By using classification results for the carcinogenicity, germ cell mutagenicity, and reproductive toxicity hazard classes, this study demonstrates the "disharmony" in the classification results among the selected countries. We believe that the findings of this study deserve the attention of the relevant international bodies.

• 서비스연구
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• 제8권1호
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• pp.89-102
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• 2018

산업분류(Industrial Classification)는 산업활동의 종류를 체계적으로 구분한 것으로서, 모든 국가는 국가별 일정한 분류 방법에 의해 체계화된 표준산업분류(Standard Industrial Classification)를 운용하고 있다. 이를 바탕으로 자국의 산업활동과 관련한 통계조사를 통해 산업현황을 분석하거나, 관련 정책 수립에 활용하며, 또 국가 간 비교에도 이용하고 있다. 국제적으로는 2차 산업혁명 이후, 국가 간 경제 산업교류가 활발해지면서 국제적인 표준산업분류 기준의 필요성이 대두됨에 따라 유엔통계처(UNSD)는 영국의 경제학자 콜린 클라크가 1940년 산업을 1차(원시산업) 2차(가공산업) 3차(서비스산업)로 구분한 산업 3분류를 기초로 하여 1948년에 국제표준산업분류(ISIC)를 제정하였고, 대부분의 국가가 이를 원용하고 있다. 이러한 국제표준산업 분류(ISIC)와 각국의 표준산업분류는 제정 이후, 수차례 개정을 거쳐 현재에 이르고 있는데, 이들 표준산업분류가 거의 예외 없이 2000년대에 들어 대폭적인 개정이 이루어지고 있고, 그 개정 사유가 신생산업의 출현으로 인한 산업구조 변화를 반영하기 위한 것이라는 것과 그 개정 내용이 주로 3차산업 영역의 대분류 항목을 신설 세분하거나, 1 2차산업 영역 소속의 산업들이 3차산업 영역으로 소속 이동하는 형태라는 공통적 현상을 보이고 있다. 이에 본 연구는 이러한 공통적 현상의 발생 원인을 체계적으로 규명하고, 현 분류체계들의 문제점을 분석한 후, 서비스경제 관점에서의 새로운 산업분류체계의 방향을 고찰하고, 새로운 분류체계의 개념적 모델을 제안하였다. 향후 연구를 통해 본 제안 모델을 검증하고 신 분류체계 연구를 활성화할 필요가 있다.

• 한국임상약학회지
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• 제22권3호
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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 Information Technology Applications and Management
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• 제31권1호
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• pp.79-95
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• 2024

In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.

• 한국의학물리학회지:의학물리
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• 제27권3호
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• pp.139-145
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• 2016

With the development in field of industry and medicine, new machines and techniques are being launched. Moreover, the complexity of the techniques is associated to an increasing risk of incident. Especially, a small error in radiotherapy can lead to a serious patient-related incident, risk management is necessary in radiotherapy in order to reduce the risk of incident. However, in field of radiotherapy, there are no legally binding clauses for risk management and there is an absence of risk management systems at an institutional level. Therefore, we analyzed institutional status of risk management, reporting & classification systems, and risk assessment & analysis in 31 countries. For risk management and reporting systems, 65% of countries investigated had legislation or regulations; however, only 35% of countries used classification systems. It was found that 43% more countries had legislation for risk management in healthcare than those for radiotherapy; 19% more countries had reporting systems for healthcare than those for radiotherapy. For classification systems, 60% more countries had legislation, recommendation, and guidelines in the field of radiotherapy than those for healthcare. Recently, international institutes have published several reports for risk management and patient safety in radiotherapy, owing to which, countries adopting risk management for radiotherapy will gradually increase. Before adopting risk management in Korea, we should precisely understand the procedures and functions of risk management, in order to increase efficiency of risk management because classification & reporting system and risk assessment & analysis are connected organically, and institutional management is needed for high quality of risk management in Korea.

• 한국주거학회:학술대회논문집
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• 한국주거학회 1990년도 학술발표대회논문집
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• pp.25-33
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• 1990

This study aimes to support basic data for developing elderly house in korea by classification elderly house of sevral countries including Korea. Data annalysed in this study are referenes about elderly house in home economics, architecture, sociology, thesis, plans and pamphlets of eldrly house. Elderly house in our country should be developed to fit our conditions of the elderly, so, it can be classified four types such as 3 generations sharing house, self-supporting elderly house, self-supporting elderly house with aids and facilities for the aged.

• 대한의용생체공학회:의공학회지
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• 제42권6호
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• pp.277-286
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• 2021

The global market size of AI based SaMD for medical image in 2023 will be anticipated to reach around 620 billion won (518 million dollars). In order for Korean manufacturers to efficiently obtain CE marking for marketing in the EU countries, the paper is to introduce the recommendation and suggestion of how to reclassify SaMD based on classification rules of MDR because, after introducing the Regulation EU 2017/745, classification rules are quite modified and newly added compared to the Directive 93/42/EEC. In addition, the paper is to provide several rules of MDR that may be applicable to decide the classification of SaMD. Lastly, the paper is to examine and demonstrate various secondary data supported by qualitative data because the paper focuses on the suggestion and recommendation with a public trust on the basis of various secondary data conducted by the analysis of field data. In conclusion, the paper found that the previous classification of SaMD followed by the rule of MDD should be reclassified based on the Regulation EU 2017/745. Therefore, the suggestion and recommendation are useful for Korean manufacturers to comprehend the classification of SaMD for marketing in the EU countries.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.214-222
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• 2022

Convolutional Neural networks (CNNs) are a category of deep learning networks that have proven very effective in computer vision tasks such as image classification. Notwithstanding, not much has been seen in its use for remote sensing image classification in developing countries. This is majorly due to the scarcity of training data. Recently, transfer learning technique has successfully been used to develop state-of-the art models for remote sensing (RS) image classification tasks using training and testing data from well-known RS data repositories. However, the ability of such model to classify RS test data from a different dataset has not been sufficiently investigated. In this paper, we propose a deep CNN model that can classify RS test data from a dataset different from the training dataset. To achieve our objective, we first, re-trained a ResNet-50 model using EuroSAT, a large-scale RS dataset to develop a base model then we integrated Augmentation and Ensemble learning to improve its generalization ability. We further experimented on the ability of this model to classify a novel dataset (Nig_Images). The final classification results shows that our model achieves a 96% and 80% accuracy on EuroSAT and Nig_Images test data respectively. Adequate knowledge and usage of this framework is expected to encourage research and the usage of deep CNNs for land cover mapping in cases of lack of training data as obtainable in developing countries.

• 한국식생활문화학회지
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• 제28권2호
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• pp.177-185
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• 2013

This study analyzed restaurant table settings with Gestalt's law of visual perception to obtain basic data for future marketing strategies. The research uses methods that involve applying images of restaurant table settings to Gestalt's law of visual perception, doing content analysis, and conducting a frequency analysis as well as a Chi-square test for classification analysis by visual perception. Results show a significant difference in the laws of visual perception, especially in the laws of nearness and closure, between table settings of different countries and backgrounds, such as Korean, Japanese, Chinese, Western cultures. In terms of the law of nearness, Chinese dishes were low, while other countries' dishes and Korean dishes showed high figures. In terms of the law of closure, Japanese dishes and western dishes had low values, while other countries' dishes and Korean dishes were high in their closure. Further studies on consumer awareness by visual perception classification need to be conducted.

• Journal of Gastric Cancer
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• 제19권2호
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• pp.139-147
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• 2019

The incidence of esophagogastric junction (EGJ) cancer has been significantly increasing in Western countries. Appropriate planning for surgical therapy requires a reliable classification of EGJ cancers with respect to their exact location. Clinically, the most accepted classification of EGJ cancers is "adenocarcinoma of the EGJ" (AEG or "Siewert"), which divides tumor center localization into AEG type I (distal esophagus), AEG type II ("true junction"), and AEG type III (subcardial stomach). Treatment strategies in western countries routinely employ perioperative chemotherapy or neoadjuvant chemoradiation for cases of locally advanced cancers. The standard surgical treatment strategies are esophagectomy for AEG type I and gastrectomy for AEG type III cancers. For "true junctional cancers," i.e., AEG type II, whether the extension of resection in the oral or aboral direction represents the most effective surgical therapy remains debatable. This article reviews the history of surgical EGJ cancer treatment and current surgical strategies from a Western perspective.