• 품질경영학회지
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• 제50권4호
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• pp.751-776
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• 2022

Purpose: The purpose of this paper is to present implications by analyzing research trends on CSR, CSV and ESG by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on CSR, CSV and ESG. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "CSR", "CSV" and "ESG" as search terms, and the Korean abstracts and keyword were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, CSR 2,847 papers, CSV 395 papers, ESG 555 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; CSR, CSV, and ESG studies showed that research slowed down somewhat before 2010, but research increased rapidly until recently in 2019. Research have been found to be heavily researched in the fields of social science, art and physical education, and engineering. As a result of the study, there were many keyword of 'corporate', 'social', and 'responsibility', which were similar in the word cloud analysis. Looking at the frequent keyword and word cloud analysis by field and year, overall keyword were derived similar to all keyword by year. However, some differences appeared in each field. Conclusion: Government support and expert support for CSR, CSV and ESG should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to them. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

• Journal of Forest and Environmental Science
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• 제38권4호
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• pp.219-228
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• 2022

This study examined the relationship between the number of forest fires and days with no rainfall based on the national forest fire statistics data of the Korea Forest Service and meteorological data from the Open MET Data Portal of the Korea Meteorological Administration (KMA; data.kma.go.kr) for the last 30 years (1991-2021). As for the trend in precipitation amount and non-rainfall days, the rainfall and the days with rainfall decreased in 2010 compared to those in 1990s. In terms of the number of forest fires that occurred in February-May accounted for 75% of the total number of forest fires, followed by 29% in April and 25% in March. In 2000s, the total number of forest fires was 5,226, indicating the highest forest fire activity. To analyze the relationship between regional distribution of non-rainfall periods (days) and number of forest fires, the non-rainfall period was categorized into five groups (0 days, 1-10 days, 11-20 days, 21-30 days, and 31 days or longer). During the spring fire danger season, the number of forest fires was the largest when the non-rainfall period was 11-20 days; during the autumn fire precaution period, the number of forest fires was the largest when the non-rainfall period was 1-10 days, 11-20 days, and 21-30 days, showing differences in the duration of forest fire occurrence by region. The 30-year trend indicated that large forest fires occurred only between February and May, and in terms of the relationship with the non-rainfall period groups, large fires occurred when the non-rainfall period was 1-10 days. This signifies that in spring season, the dry period continued throughout the country, indicating that even a short duration of consecutive non-rainfall days poses a high risk of large forest fires.

• 한방안이비인후피부과학회지
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• 제35권4호
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• pp.47-62
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• 2022

Objectives : To analyze and understand the clear meaning of Nochae(勞瘵), which is used in the same meaning as tuberculosis in Korean medicine. Methods : Nochae was mainly investigated using the Korean medicine classic DB(https://mediclassics.kr). Records that clearly revealed the visual observation of Nochaechung(勞瘵蟲), the cause of Nochae, and those that do not were arranged in chronological order. It was also analyzed what modern diseases are similar to Nochae. Results : Records that Nochaechung can be observed visually through feces or vomiting suggested the possibility of ascariasis. Nochaechung, which has a shape similar to silkworms and causes symptoms such as coughing and hemoptysis similar to those of tuberculosis while parasitic on human, suggested the possibility of paragonimus westermani. Based on the record that it showed symptoms of coughing and hemoptysis along with chills, fever, and weight loss, Nochae might have been a disease such as pneumonia and lung cancer as well as tuberculosis. Records of women's bloating, weight loss, anorexia, and jaundice suggested that Nochae might have been a liver cirrhosis. Conclusions : Records that clearly reveal the visual observations of Nochaechung, suggested that Nochae was a parasitic disease such as ascariasis or paragonimiasis. Records that visual observation of Nochaechung was not clearly revealed, suggested that Nochae might have been diseases such as pneumonia, lung cancer, and liver cirrhosis in addition to tuberculosis.

• The Korean Journal of Pain
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• 제35권3호
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• pp.250-260
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• 2022

Background: Cranial nerve ganglia, which are prone to viral infections and tumors, are located deep in the head, so their detailed anatomy is difficult to understand using conventional cadaver dissection. For locating the small ganglia in medical images, their sectional anatomy should be learned by medical students and doctors. The purpose of this study is to elucidate cranial ganglia anatomy using sectioned images and three-dimensional (3D) models of a cadaver. Methods: One thousand two hundred and forty-six sectioned images of a male cadaver were examined to identify the cranial nerve ganglia. Using the real color sectioned images, real color volume model having a voxel size of 0.4 × 0.4 × 0.4 mm was produced. Results: The sectioned images and 3D models can be downloaded for free from a webpage, anatomy.dongguk.ac.kr/ganglia. On the images and model, all the cranial nerve ganglia and their whole course were identified. In case of the facial nerve, the geniculate, pterygopalatine, and submandibular ganglia were clearly identified. In case of the glossopharyngeal nerve, the superior, inferior, and otic ganglia were found. Thanks to the high resolution and real color of the sectioned images and volume models, detailed observation of the ganglia was possible. Since the volume models can be cut both in orthogonal planes and oblique planes, advanced sectional anatomy of the ganglia can be explained concretely. Conclusions: The sectioned images and 3D models will be helpful resources for understanding cranial nerve ganglia anatomy, for performing related surgical procedures.

• 대한예방한의학회지
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• 제26권2호
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• pp.69-74
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• 2022

Objective : This study was aimed to review the Act on the Promotion of Korean Medicine and Pharmaceuticals. Method : We searched document about the Act on the Promotion of Korean Medicine and Pharmaceuticals. We used Korean Law Information Center(https://www.law.gov.kr) to find the revision of the act. Results : We looked at the current status of the revision of the Act on the Promotion of Korean Medicine and Pharmaceuticals, and the law was revised four times in total. Through the revision of the law, the definition of Korean medical practice was not only expanded, but also the establishment and role of National Institute of Korean Medicine Development were extended. Specific descriptions of Korean medicine technology will be needed in the future, and laws that are less effective should be revised and the role of National Institute of Korean Medicine Development should be further strengthened. Conclusion : For the future of Korean medicine, in-depth consideration is needed on how to foster oriental medicine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.520-541
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• 2023

In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the training phase beneath various circumstances, and depending on a collective process, either communicates or remains silent. In the training stage, the fusion centre combines the local judgments made by CR users by a majority vote, and then returns a final conclusion to every CR user. Enough data regarding the environment, including the activity of PU and every CR's response to that activity, is acquired and sensing classes are created during the training stage. Every CR user compares their most recent sensing report to the previous sensing classes during the classification stage, and distance vectors are generated. The posterior probability of every sensing class is derived on the basis of quantitative data, and the sensing report is then classified as either signifying the presence or absence of PU. The ISVM technique is utilized to compute the quantitative variables necessary to compute the posterior probability. Here, the iterations of SVM are tuned by novel GO-PSA by combining GOA and PSO. Novel GO-PSA is developed since it overcomes the problem of computational complexity, returns minimum error, and also saves time when compared with various state-of-the-art algorithms. The dependability of every CR user is taken into consideration as these local choices are then integrated at the fusion centre utilizing an innovative decision combination technique. Depending on the collective choice, the CR users will then communicate or remain silent.

• 한방재활의학과학회지
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• 제33권1호
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• pp.61-75
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• 2023

Objectives The purpose of this study is to find out what diseases or treatments the Korean Medicine Rehabilitation department is dealing with. Methods For data collection, papers published from 2012 to 2021 were searched and collected on the website of the Korean Society of Rehabilitation Medicine (https://www.ormkorea.org/). After that, reconfirmed data at the Oriental Medicine Advanced Searching Integrated System (OASIS) Traditional Medicine Portal (https://oasis.kiom.re.kr/). The searched papers were classified by year and classified according to format based on thesis and abstract. In addition, the papers were classified by subject, focusing on diseases and treatments. Results Total 557 studies were classified. The format of a total of 557 papers was distributed in 129 preclinical studies (23.2%), 136 literature studies (24.4%), 153 clinical studies (27.5%), 112 case reports (20.1%), and 27 other studies (4.8%). While preclinical studies and clinical studies are gradually decreasing over the years, case reports and literature studies are gradually increasing. Conclusions The number of papers in Journal of Korean Medicine Rehabilitation is gradually decreasing. Papers on more diverse topics is needed for the qualitative growth of journals and Department of Korean Medicine Rehabilitation.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.423-423
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• 2023

습지 생태계는 탄소저장고, 대기 온·습도 조절 등의 기능을 수행하는 만큼 면밀한 관리가 요구된다. 습지의 규모와 생태계는 밀접한 연관성을 가지므로 그 규모를 우선적으로 파악할 필요가 있으며, 이를 위해 지표면의 상태를 산지, 습지, 수역 등의 항목으로 구분한 토지피복지도가 고려될 수 있다. 현재, 환경부에서 운영 중인 환경공간정보서비스(https://egis.me.go.kr/)에서는 각각 30 m, 5 m, 1 m의 공간 해상도와 7, 22, 41가지 분류 항목을 갖는 대분류, 중분류, 세분류로 구분된 토지피복지도를 제공하며 이러한 자료들은 모두 1년 이상의 시간 해상도를 갖는다. 습지의 경우, 계절에 따른 환경 변화로 인한 규모의 변동성이 크게 나타날 수 있기 때문에 1년 이하의 시간 해상도를 갖는 고품질 토지피복 분류 정보가 요구된다. 따라서 본 연구에서는 기존 자료의 낮은 시간 해상도 보완을 목표로, 1개월과 30 m의 시·공간 해상도를 갖는 토지피복지도를 구축하기 위한 방법론을 제안하고자 한다. 이를 위해 Landsat-8 등과 같은 다양한 인공위성 자료를 수집하고, Support Vector Machine 등과 같은 머신러닝 기법을 적용하였다. 최종적으로 습지보전법에서 지정한 습지보호지역 중 내륙습지 26개소를 대상으로, 본 연구로부터 산출된 토지피복지도를 기존 환경공간정보서비스 내 대분류 토지피복지도와 비교·평가하였다.

• 한국시뮬레이션학회논문지
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• 제19권4호
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• pp.189-198
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• 2010

임무공간개념모델(CMMS, Conceptual Model of the Mission Spaces)은 실 군사 세계의 임무 수행과 관련한 전투요소 객체와 행위, 객체간의 상호 작용을 개념적 차원에서 나타낸 지식(임무영역) 참조모델로, 국방 M&S 시스템의 개발 및 상호 운용성, 재사용성을 제고시키는데 있어 기본이 되는 모델이다. CMMS의 완전성은 이에 기반을 둔 모든 M&S 체계의 품질을 보장함에 있어 중요한 요소인데, 이의 완성도를 높이기 위한 검증, 확인 및 인정(VV&A, Verification, Validation and Accreditation)과정은 매우 중요하다. 본 연구에서는 현재 국내에서 연구 진행 중인 한국형 CMMS에 대하여 소개하고 CMMS의 개발 및 관리시스템의 신뢰성을 보장할 수 있는 CMMS VV&A 적용 방법을 제안하고자 한다.

• Applied Microscopy
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• 제50권
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• pp.2.1-2.7
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• 2020

Electron energy loss spectroscopy (EELS) is an analytical technique that can provide the structural, physical and chemical information of materials. The EELS spectra can be obtained by combining with TEM at sub-nanometer spatial resolution. However, EELS spectral information can't be obtained easily because in order to interpret EELS spectra, we need to refer to and/or compare many reference data with each other. And in addition to that, we should consider the different experimental variables used to produce each data. Therefore, reliable and easily interpretable EELS standard reference data are needed. Our Electron Energy Loss Data Center (EELDC) has been designated as National Standard Electron Energy Loss Data Center No. 34 to develop EELS standard reference (SR) data and to play a role in dissemination and diffusion of the SR data to users. EELDC has developed and collected EEL SR data for the materials required by major industries and has a total of 82 EEL SR data. Also, we have created an online platform that provides a one-stop-place to help users interpret quickly EELS spectra and get various spectral information. In this paper, we introduce EEL SR data, the homepage of EELDC and how to use them.