• Title/Summary/Keyword: Human case

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Trend Analysis and Policy Implications of Wellness Tourism Policy in Korea and Japan (한국과 일본의 웰니스관광정책 동향 분석 및 정책적 함의)

  • Kim, Sang-Yoon
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.183-195
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    • 2021
  • This study compared and analyzed the trends of wellness-related tourism polices in Japan, which have policy similarities with Korea, through related literature research and online interview surveys amid growing demand for wellness tourism in Korea's wellness tourism policy implications. According to the survey, wellness tourism-related concepts do not differ particularly between Korea and Japan, and the use of health tourism or wellness tourism concepts is more common in Japan than healing tourism. Wellness tourism policy is analyzed to be more systematic in Japan in the areas of policy principal agent's flexibility, policy efficiency, related certification, and human resource development, and Korea in the driving force and institutional maintenance of policy. It was judged that Korea needs to establish a wellness tourism consultative body, such as the case of Japan, and improve efficiency through systematic certification of wellness tourism and qualitative management of related manpower. In order to industrialize wellness tourism, it is necessary to increase the healing effectiveness and product value of wellness tourism by organically linking wellness resources specialized by region, and to conduct in-depth analysis of the direction and strategies of wellness tourism policies in preparation for the post-Corona(COVID-19) Era and an empirical study of tourism sites.

Research Trends and Knowledge Structure of Digital Transformation in Fashion (패션 영역에서 디지털 전환 관련 연구동향 및 지식구조)

  • Choi, Yeong-Hyeon;Jeong, Jinha;Lee, Kyu-Hye
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.319-329
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    • 2021
  • This study aims to investigate Korean fashion-related research trends and knowledge structures on digital transformation through information-based approaches. Accordingly, we first identified the current status of the relevant research in Korean academic literature by year and journal; subsequently, we derived key research topics through network analysis, and then analyzed major research trends and knowledge structures by time. From 2010 to 2020, we collected 159 studies published on Korean academic platforms, cleansed data through Python 3.7, and measured centrality and network implementation through NodeXL 1.0.1. The results are as follows: first, related research has been actively conducted since 2016, mainly concentrated in clothing and art areas. Second, the online platform, AR/VR, appeared as the most frequently mentioned topic, and consumer psychological analysis, marketing strategy suggestion, and case analysis were used as the main research methods. Through clustering, major research contents for each sub-major of clothing were derived. Third, major subject by period was considered, which has, over time, changed from consumer-centered research to strategy suggestion, and design development research of platforms or services. This study contributes to enhancing insight into the fashion field on digital transformation, and can be used as a basic research to design research on related topics.

Study on the Mineral Carbonation from Autoclaved Lightweight Concrete (ALC) (경량 기포콘크리트를 이용한 광물탄산화 연구)

  • Chae, Soo-Chun;Lee, Seung-Woo;Bang, Jun-Hwan;Song, Kyoung-Sun
    • Korean Journal of Mineralogy and Petrology
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    • v.33 no.4
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    • pp.439-450
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    • 2020
  • Global warming caused by the emission of greenhouse gases into the atmosphere is being treated as a major problem for the human life, and mineral carbonation is drawing attention as one of many countermeasures against this situation. In this study, mineral carbonation experiments using autoclaved lightweight concrete (ALC) were performed under various conditions to determine its potential as a carbonation material. ALC can be regarded as a promising material for carbonation because it contains about 27 wt.% of CaO, a major component of mineral carbonation. The CaCO3 content produced as a result of the carbonation of ALC calculated on the assumption that all of the CaO content participates in mineral carbonation is about 40 wt.%. The optimum conditions for the mineral carbonation reaction from ALC are the solid-liquid ratio of 0.01 and the reaction time of 180 minutes when calcite is considered as a single product, or 0.06 and 180 minutes when mixture of calcite and vaterite can be considered. The coexistence of vaterite with calcite at solid-liquid ratio of 0.06 or higher was interpreted to be the case where vaterite formed in the later stage and did not change to calcite until the reaction was completed.

A Study on Health Risk Assessment by Exposure to Organic Compounds in University Laboratory (대학 실험실에서의 유기화합물 노출에 의한 건강위험성 평가에 관한 연구)

  • Sim, Sanghyo;Won, Jung-II;Jeon, Hasub;Kim, Dowon
    • The Journal of Korean Society for School & Community Health Education
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    • v.22 no.4
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    • pp.49-60
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    • 2021
  • Objectives: Laboratories have various latent physical, chemical, biological, and ergonomical factors according to the diversification and fusion of research and development activities. This study aims to investigate the chemical exposure concentrations of college laboratories and evaluate their health risks, and use them as basic data to promote the health of college students. Methods: The sampling and analysis of harmful chemicals in the air in laboratories were performed using Method 1500 of the U.S. National Institute for Occupational Safety and Health (NIOSH)의 Method 1500. The harmful chemicals in the laboratories were divided into carcinogenic and non-carcinogenic chemicals. Risk assessment was performed using the cancer risk (CR) for carcinogenic chemicals and using the hazard index (HI) for non-carcinogenic chemicals. Results: The harmful chemicals in college laboratories consisted of acetone, diethyl ether, methylene chloride, n-hexane, ethyl acetate, chloroform, tetrahydrofuran, toluene, and xylenes. They showed the highest concentrations in laboratories A (acetone 0.001~2.34ppm), B (chloroform 0.95~6.35ppm), C (diethyl ether 0.08~8.68ppm), and D (acetone 0.07~14.96ppm). The risk assessment result for non-carcinogenic chemicals showed that the HI of methylene chloride was 2.052 for men and 2.333 for women, the HI of N-hexane was 4.442 for men and 5.05 for women. Thus, the HI values were higher than 1. The risk of carcinogenic chemicals is determined by an excess cancer risk (ECR) value of 1.0×10-5, which means that one in 100,000 people has a cancer risk. The ECRs of chloroform exceeded 1.0×10-5 for both men and women, indicating the possibility of cancer risk. Conclusion: College laboratories showed the possibility of non-carcinogenic health risks for methylene chloride, n-hexane, tetrahydrofuran (THF), toluene, and xylenes, and carcinogenic health risks for chloroform, methylene chloride. However, this study used the maximum values of measurements to determine the worst case, and assumed that the subjects were exposed to the corresponding concentrations continuously for 8 hours per day for 300 days per year. In consideration of the nature of laboratory environment in which people are intermittently exposed, rather than continuously, to the chemicals, the results of this study has an element of overestimation.

Microplastics Intellectual Network Analysis based on Bigdata (빅데이터 기반한 미세플라스틱 지적네트워크 분석)

  • Kim, Younghee;Chang, Kwanjong
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.239-259
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    • 2022
  • Since 2019, research on microplastics has been actively conducted around the world, so analyzing the differences between domestic and foreign microplastics research can be a milestone in establishing the direction of domestic research. In this study, microplastic papers from KCI and WoS were extracted and the differences between domestic and foreign studies were analyzed using a network analysis methodology based on big data such as author keyword co-occurrence word analysis, thesis co-citation analysis, and author co-citation analysis. As a result of the analysis, the analysis of the research topic confirmed that studies that could affect the human body and the treatment of microplastics in daily life were additionally needed in Korea. In the analysis of the depth of thesis citation that examines the quality of research, it was found that Korea was still insufficient at 2.25 overseas and 1.39 in Korea. In the analysis of the composition of the joint research front, where various researchers participate and share information, 3 out of 22 clusters in Korea are Star type. In the case of overseas, all 19 clusters have a mesh structure, so it was confirmed that information flow and sharing were insufficient in specific research fields in Korea. These research results confirmed the need to expand the research topic of microplastics, improve the quality of research, and improve the research promotion system in which various researchers participate. In addition, if the automation program is developed based on topic modeling, it will be possible to build a system capable of real-time analysis.

ESG Management, Strategies for corporate sustainable growth : KT's company-wide goals and strategies (ESG 경영, 기업의 지속가능성장을 위한 전략 : KT의 전사적 목표와 전략)

  • Kang, Yoon Ji;Kim, Sanghoon
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.233-244
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    • 2022
  • One of the most noteworthy topics in recent corporate management is ESG(Environmental, Social, Governance). Although there are many companies that have declared ESG management, KT has declared full-fledged ESG management in 2021 and is sharing its sustainable management strategy with stakeholders. In addition, KT is strengthening ESG management by issuing ESG bonds for the first time in the domestic ICT industry. At a time when the information technology industry became more important due to COVID-19, this study attempted to examine KT's ESG management goals and strategies by dividing them into environmental, social, and governance areas. KT was aiming to achieve environmental integrity through 'environmental management', 'green competence', 'energy resources', and 'eco-friendly projects' in the environmental field. In addition, in the social field, genuine creating social value was pursued through 'social contribution', 'co-growth', and 'human rights management'. Finally, in the governance area, it was aiming for a transparent corporate management system to pursue economic reliability through 'ethics and compliance' and 'risk management'. In particular, KT was promoting its own ESG management by promoting strategies to solve environmental and social problems using AI and BigData technologies based on the characteristics of a digital platform company. This study aims to derive implications for ESG strategy establishment and ESG management development direction through KT's ESG management case in relation to ESG management, which has emerged as a hot topic.

Analysis of Volatile Organic Compounds in Sediments Using HS-GC/MS - Confirmation of Matrix Effects in External and Internal Standard Methods - (HS-GC/MS를 이용한 퇴적물 중 휘발성유기화합물 분석 - 외부 및 내부표준방법에서 매질영향 확인 -)

  • Shin, Myoung-Chul;Jung, Da-som;Noh, Hye-ran;Yu, Soon-ju;Seo, Yong-Chan;Lee, Bo-Mi
    • Journal of Korean Society on Water Environment
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    • v.37 no.6
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    • pp.510-519
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    • 2021
  • Volatile Organic Compounds (VOCs) in sediments, which can cause human health problems, have been monitored in Korea since 2014. Measured VOC concentrations can be affected by matrix type and the volatility of target substances. In this study, (1) VOCs volatility and the influence of matrix interference were confirmed, and (2) internal standards (IS) method was applied to improve analytical method. For these purposes, method detection limit (MDL), calibration linearity, precision and accuracy of VOCs were compared in various matrices using the IS. Some of VOCs in sediments showed different peak areas and reduced rates compared to water matrix. It was suggested that adsorption properties of sediments hindered the migration to vapor during heat pretreatment in headspace method. A calibration curve was created in clean sand. Recovery rates for the calibration curve method and IS applying method were 64.1~83.1% and 99.1~119.3%, respectively. Relative standard deviations ranged from 11.1% to 21.6% for the calibration curve method and those for IS ranged 4.7% to 13.7%. In case of real sediment, calibration curve and 1,2-Dichlorobenzene-d4 (ODCB) among IS were not suitable. The average recovery rate of Fluorobenzene (FBZ) increased by 56.4% and Relative Standard Deviation (RSD) by 4.7%. However, the recovery rate was increased in the samples with large values of igniting intensity. This study confirmed that influence of the matrix of VOCs in sediment, and addition of IS materials improved precision and accuracy. Although IS corrects volatilization and adsorption, it is recommended that more than two types of IS should be added rather than single.

Public Sentiment Analysis and Topic Modeling Regarding COVID-19's Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia

  • Alamoodi, A.H.;Baker, Mohammed Rashad;Albahri, O.S.;Zaidan, B.B.;Zaidan, A.A.;Wong, Wing-Kwong;Garfan, Salem;Albahri, A.S.;Alonso, Miguel A.;Jasim, Ali Najm;Baqer, M.J.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.7
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    • pp.2169-2190
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    • 2022
  • The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the effects of these lockdown measures, this study performed sentiment analysis and latent Dirichlet allocation topic modeling on textual data from Twitter published during the three lockdown waves in Malaysia between 2020 and 2021. Three lockdown measures were identified, the related data for the first two weeks of each lockdown were collected and analysed to understand the public sentiment. The changes between these lockdowns were identified, and the latent topics were highlighted. Most of the public sentiment focused on the first lockdown as reflected in the large number of latent topics generated during this period. The overall sentiment for each lockdown was mostly positive, followed by neutral and then negative. Topic modelling results identified staying at home, quarantine and lockdown as the main aspects of discussion for the first lockdown, whilst importance of health measures and government efforts were the main aspects for the second and third lockdowns. Governments may utilise these findings to understand public sentiment and to formulate precautionary measures that can assure the safety of their citizens and tend to their most pressing problems. These results also highlight the importance of positive messaging during difficult times, establishing digital interventions and formulating new policies to improve the reaction of the public to emergency situations.

Road Extraction from Images Using Semantic Segmentation Algorithm (영상 기반 Semantic Segmentation 알고리즘을 이용한 도로 추출)

  • Oh, Haeng Yeol;Jeon, Seung Bae;Kim, Geon;Jeong, Myeong-Hun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.239-247
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    • 2022
  • Cities are becoming more complex due to rapid industrialization and population growth in modern times. In particular, urban areas are rapidly changing due to housing site development, reconstruction, and demolition. Thus accurate road information is necessary for various purposes, such as High Definition Map for autonomous car driving. In the case of the Republic of Korea, accurate spatial information can be generated by making a map through the existing map production process. However, targeting a large area is limited due to time and money. Road, one of the map elements, is a hub and essential means of transportation that provides many different resources for human civilization. Therefore, it is essential to update road information accurately and quickly. This study uses Semantic Segmentation algorithms Such as LinkNet, D-LinkNet, and NL-LinkNet to extract roads from drone images and then apply hyperparameter optimization to models with the highest performance. As a result, the LinkNet model using pre-trained ResNet-34 as the encoder achieved 85.125 mIoU. Subsequent studies should focus on comparing the results of this study with those of studies using state-of-the-art object detection algorithms or semi-supervised learning-based Semantic Segmentation techniques. The results of this study can be applied to improve the speed of the existing map update process.

A Reinterpretation of Sacheon Seonjin-ri Stone Monument's Chinese Characters of Empress Wu(則天文字) - On the Issue of the Introduction and Acceptance of Chinese Characters of Empress Wu to the Korean Peninsula - (사천 선진리비석 측천문자의 명문 재해석 - 측천문자의 한반도 전래 및 수용 문제에 대해 -)

  • Shin, Dong-Sung
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.40 no.3
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    • pp.57-66
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    • 2022
  • Since the discovery of the inscriptions engraved with the "Chinese characters of Empress Wu(則天文字)" at 251 and 256-1, Seonjin-ri, Sacheon-si, Gyeongsangnam-do in 2003, researchers from the Gyeongnam Institute of Cultural Properties, Kwak Seung-Hoon, and Kim Chang-Gyeom have attempted to read and interpret the inscriptions. However, there are still different theories as to the origin of the "Chinese characters of Empress Wu" appearing in the inscriptions and the use of Idu(吏讀)-type notation. This study aims to clarify, this inscription was erected by the king of Silla in the late 7th and mid-8th centuries to commemorate his participation in the Sacheon and Jinju patrols and Buddhist activities, and it is revealed that the main character of the inscription is likely to be King Seongdeok who has visited southern countries. In addition, in the case of "上了言", which has been interpreted as a human name, it should be understood as an Idu-type notation or a 變體漢文 because of the use of the proposition 了, and it should be interpreted as a character that means the end of a specific act. Although it is not a religious text like 『Mugujeonggwangdaedaranigyeong (The Great Dharani Sutra)』, the reason why the "Chinese characters of Empress Wu(則天文字)" was used is that in the process of accepting the Huayan school, the royal family of Silla came into contact with the Buddhist scriptures of the period of the Empress Wu, which is closely related to the rise of the Huayan school in the Middle Ages, and it appears to have learned and used in this process.