• Title/Summary/Keyword: Global case study

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Research Trend on Precious Metal-Based Catalysts for the Anode in Polymer Electrolyte Membrane Water Splitting (고분자 전해질막 수전해의 산화 전극용 귀금속 촉매의 연구 동향)

  • Bu, Jong Chan;Jung, Won Suk;Lim, Da Bin;Shim, Yu-Jin;Cho, Hyun-Seok
    • Journal of the Korean Electrochemical Society
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    • v.25 no.4
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    • pp.154-161
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    • 2022
  • The carbon-neutrality induced by the global warming is important for the modern society. Hydrogen has been received the attention as a new energy source to replace the fossil fuels. Polymer electrolyte membrane fuel cells, which convert the chemical reaction energy of hydrogen into electric power directly, are a type of eco-friendly power for future vehicles. Due to the sluggish oxygen reduction reaction and costly Pt catalyst in the cathode, the research related to the replacement of Pt-based catalysts has been vitally carried out. In this case, however, the performance is significantly different from each other and a variety of factors have existed. In this review paper, we rearrange and summarize relevant papers published within 5 years approximately. The selection of precursors, synthesis method, and co-catalyst are represented as a core factor, while the necessity of research for the further enhancement of activity may be raised. It can be anticipated to contribute to the replacement of precious metal catalysts in the various fields of study. The final objective of the future research is depicted in detail.

Learning Ability Prediction System for Developing Competence Based Curriculum: Focusing on the Case of D-University (역량중심 교육과정 개발을 위한 학업성취도 예측 시스템: D대학 사례를 중심으로)

  • Kim, Sungkook;Oh, Chang-Heon
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.267-277
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    • 2022
  • Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.

A Study on Smart Factory Introduction Cases and Sustainable Effect (스마트팩토리 도입사례와 효과 지속성에 관한 연구)

  • Son, Young-Jin;Choi, Hwan Young
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.127-136
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    • 2022
  • As manufacturing items have changed in various ways, changes in the mass production of small-scale small-scale production of multiple varieties have become commonplace. As a result, the method of the manufacturing site has also changed, and the "smart factory," which emphasizes the production efficiency aspect using automation lines and big data of factories, is in the spotlight according to the global market economy. The introduction performance of smart factories has a positive effect in terms of production efficiency and is drawing a steep upward curve. In addition to the positive aspects, the aspect that needs to be supplemented in the future is the support and cooperation of specialized smart equipment suppliers, but education on standardized smart factories and the relocation of existing manpower, education, evaluation, and creative production that robots cannot replace Various support measures are also needed for activities. In addition, continuous management and systematic education are required to enter the upper stage. Through the case of companies that have built smart factories, it is intended to emphasize the need for proper use of manpower and support management for settlement and maintenance after introduction and continuous on-the-job training through the comparison of productivity before and after introduction to ensure the effect continues.

A Study on Test Set to prevent illegal films searches (불법촬영물 검색 방지를 위한 시험 세트 방안 연구)

  • Yong-Nyuo Shin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.27-33
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    • 2023
  • Countries around the world are calling for stronger law enforcement to combat the production and distribution of child sexual exploitation images, such as child grooming. Given the scale and importance of this social problem, it requires extensive cooperation between law enforcement, government, industry, and government organizations. In the wake of the Nth Room Case, there have been some amendments to the Enforcement Decree of the Telecommunications Business Act regarding additional telecommunications services provided by precautionary operators in Korea. While Naver and others in Korea use Electronics and Telecommunications Research Institute's own technology to filter illegal images, Microsoft uses its own PhotoDNA technology. Microsoft's PhotoDNA is so good at comparing and identifying illegal images that major global operators such as Twitter are using it to detect and filter images. In order to meet the Korean government's testing standards, Microsoft has conducted more than 16 performance tests on "PhotoDNA for Video 2.0A," which is being applied to the Bing service, in cooperation with the Korea Communications Commission and Telecommunications Technology Association. In this paper, we analyze the cases that did not pass the standards and derive improvement measures related to adding logos. In addition, we propose to use three video datasets for the performance test of filtering against illegal videos.

Overseas Address Data Quality Verification Technique using Artificial Intelligence Reflecting the Characteristics of Administrative System (국가별 행정체계 특성을 반영한 인공지능 활용 해외 주소데이터 품질검증 기법)

  • Jin-Sil Kim;Kyung-Hee Lee;Wan-Sup Cho
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.1-9
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    • 2022
  • In the global era, the importance of imported food safety management is increasing. Address information of overseas food companies is key information for imported food safety management, and must be verified for prompt response and follow-up management in the event of a food risk. However, because each country's address system is different, one verification system cannot verify the addresses of all countries. Also, the purpose of address verification may be different depending on the field used. In this paper, we deal with the problem of classifying a given overseas food business address into the administrative district level of the country. This is because, in the event of harm to imported food, it is necessary to find the administrative district level from the address of the relevant company, and based on this trace the food distribution route or take measures to ban imports. However, in some countries the administrative district level name is omitted from the address, and the same place name is used repeatedly in several administrative district levels, so it is not easy to accurately classify the administrative district level from the address. In this study we propose a deep learning-based administrative district level classification model suitable for this case, and verify the actual address data of overseas food companies. Specifically, a method of training using a label powerset in a multi-label classification model is used. To verify the proposed method, the accuracy was verified for the addresses of overseas manufacturing companies in Ecuador and Vietnam registered with the Ministry of Food and Drug Safety, and the accuracy was improved by 28.1% and 13%, respectively, compared to the existing classification model.

Risk-based Profit Prediction Model for International Construction Projects (해외건설공사의 리스크 분석에 기초한 수익성 예측모델에 관한 연구)

  • Han, Seung-Heon;Kim, Du-Yon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4D
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    • pp.635-647
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    • 2006
  • Korean construction companies first advanced to the international markets in 1960's and so far have brought more than 4,900 projects which account for 193 billion dollars approximately. With the large increase of national employment and income being followed by the achievement, Korea's construction industry has made an enormous contribution to the improvement of domestic economy for the last 40 years. However, recently the increased risk in international markets as well as the sharpening competition with foreign companies promising in terms of advanced technologies and low labor cost have been driving Korean construction away from the market shares. According to ENR (Engineering News Record, 1994~2003), it is revealed that 15.1% of top 225 global contractors are suffering from loss in international construction markets. This phenomenon is largely due to the highly uncertain characteristics of international projects, which are inherently exposed to various and complicated risky situations. Furthermore, especially for Korean construction companies, it is often the case that the failure in an international construction project cannot be offset by even a sufficient number of successful domestic achievements. Therefore, not only the selective screening among the nominated projects which have strong possibility of collapse but the systematic strategies for controlling potential risk factors are also considered indispensable in international construction portfolio management. The purpose of this study is to first analyze the causal relationships of the profit-influencing variables and the project success, and develop the profitability forecasting model in international construction projects.

A New Perspective of Foreign Assistance Ethics: Cosmopolitanism (해외원조의 새로운 윤리적 시각: 세계시민주의)

  • Lee, Hyun-Jung
    • Journal of Ethics
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    • no.82
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    • pp.193-212
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    • 2011
  • Republic of Korea had undergone a meaningful transformation from aid recipient country to aid donor country and it was the only case among OECD countries. It became the 24th member of DAC in November, 2009. Therefore, it is required that we have to expand assistance which comes up to current economic power of Republic of Korea. However there are weak theoretical consideration about the obligation and justification of foreign aid fundamentally. These researches are almost about communitarianistic, liberalistic perspectives of view but with these, it is hard to enlarge current foreign aid into international level and it also takes a passive approach in obligation to provide. With these contexts in mind, this study proposes cosmotolitanism as an new alternative of foreign aid. This paper seeks to discuss that why we should give assistance to poverty-stricken counties and checking whether we have a obligation of foreign aid or not and the way or the extent to deal with if there is a obligation to help. Cosmotolitanism suggests that whole world is obliged with helping each other to enjoy equal rights and meet the obligation for others because people of the third world countries also have their own lives on the Earth like us and they are sharing all-global plan and future together. The existing discussion took a negative, restrictive attitude but it could mention that there is great relevance to discuss about Cosmotolitanism since it connotes the obligation for the third countries and their people itself.

TONYMOLY Cosmetic Company: A Small but Smart Marketing Player

  • Song, Ji-Hee;Lee, Sungho
    • Asia Marketing Journal
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    • v.15 no.1
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    • pp.169-188
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    • 2013
  • Established in 2006 as the forward integration effort by Taesung Industry, the major cosmetic packaging company, TONYMOLY has phenomenally grown to one of the major cosmetic brand companies in the submarket called, 'one brand-shop' of cosmetic market since 2008, after overcoming the crisis of 'going out of business' in a couple of early years. Within a relatively short period of time, TONYMOLY's performances have dramatically improved in terms of metrics such as growth in sales revenue, the number of stores, the average sales per store, transaction value per customer, the number of monthly transactions, the number of membership-based customers, and overseas sales. In this case study, we have examined TONYMOLY's recent marketing activities which may explain the plausible reasons behind the substantial growth of a small but smart cosmetic company. Above all, the first key success factor of TONYMOLY would be found in its adherence to the clear philosophy of the customer value proposition and/or the differentiated position of TONYMOLY as a brand of providing value. Second, this brand concept of value was first penetrated and welcomed among the foothold customer target group of mid and late teens with appropriate products, while the target groups were later expanded into the age group of twenties along with expansion of relevant products. Third, its differentiation efforts have been concrete and meaningful by utilizing unique ingredients in its product development and marketing efforts, unique fun packaging, and continuously introducing new hit-selling products as well as managing steady-selling products. Fourth, TONYMOLY has been smart enough to use its limited marketing money efficiently and effectively in its marketing communication activities. Viral marketing, PPL, and concentrated media planning and execution turned out to produce effective and efficient market-based performances such as awareness, word-of-mouth, and sales. Lastly, the marketing leadership of CEO and top management, emphasizing communications and interactions, was confirmed in the relationship quality with and trust level of its franchisees and internal employees. These key success factors may explain the recent phenomenal market performances of TONYMOLY. Despite recent successes, the major issues are presented for TONYMOLY to consider for maintaining its sustainable advantages and growth. The first issue concerns TONYMOLY's choice of growth philosophy between product/brand-centric marketing and customer-centric marketing. The second challenging issue relates to how TONYMOLY can cope with 'growing pains' plausibly accompanied with the rapid growth.

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National Disaster Management, Investigation, and Analysis Using RS/GIS Data Fusion (RS/GIS 자료융합을 통한 국가 재난관리 및 조사·분석)

  • Seongsam Kim;Jaewook Suk;Dalgeun Lee;Junwoo Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.743-754
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    • 2023
  • The global occurrence of myriad natural disasters and incidents, catalyzed by climate change and extreme meteorological conditions, has engendered substantial human and material losses. International organizations such as the International Charter have established an enduring collaborative framework for real-time coordination to provide high-resolution satellite imagery and geospatial information. These resources are instrumental in the management of large-scale disaster scenarios and the expeditious execution of recovery operations. At the national level, the operational deployment of advanced National Earth Observation Satellites, controlled by National Geographic Information Institute, has not only catalyzed the advancement of geospatial data but has also contributed to the provisioning of damage analysis data for significant domestic and international disaster events. This special edition of the National Disaster Management Research Institute delineates the contemporary landscape of major disaster incidents in the year 2023 and elucidates the strategic blueprint of the government's national disaster safety system reform. Additionally, it encapsulates the most recent research accomplishments in the domains of artificial satellite systems, information and communication technology, and spatial information utilization, which are paramount in the institution's disaster situation management and analysis efforts. Furthermore, the publication encompasses the most recent research findings relevant to data collection, processing, and analysis pertaining to disaster cause and damage extent. These findings are especially pertinent to the institute's on-site investigation initiatives and are informed by cutting-edge technologies, including drone-based mapping and LiDAR observation, as evidenced by a case study involving the 2023 landslide damage resulting from concentrated heavy rainfall.

Evolution of Healthcare Service Disparities: A Case Study of Primary Care Services in Korea, 1995-2021 (보건의료 서비스의 공간적 불균등 분포 변이에 대한 연구: 1995년부터 2021년까지 초기진료기관을 대상으로)

  • Hyun Kim;Yena Song
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.3
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    • pp.289-309
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    • 2023
  • While South Korea's universal healthcare system has garnered attention in public health, the issue of inequality in healthcare service provision among different age groups has incessantly become a significant concern. The focus of this concern is primarily on essential healthcare services, encompassing fundamental aspects of healthcare such as internal medicine, family medicine, and pediatric and adolescent care. This inequality is not limited to differences among age groups (both junior and senior demographics) but also extends to potential disparities in healthcare services based on geographic location, particularly in urban and rural contexts. This paper aims to investigate disparities in primary healthcare service resources in South Korea's evolving economic landscape between 1995 and 2021. We utilize a set of inequality indices with a spatial perspective through geographic cluster analysis. The findings reveal that concerns about inequality have been amplified during various economic events, including the IMF crisis in 1999, the global financial crisis in 2008, and the COVID-19 pandemic in 2020. These years are identified as significant phases that have contributed to manifesting spatial disparities in primary healthcare provisions, with a particular emphasis on the senior-aged population rather than junior or all population groups. Our findings underscore the pressing need to address the unequal distribution of essential healthcare resources as part of preparedness for potential economic impacts, requiring a comprehensive consideration of the interconnected nature of demographic and spatial dimensions in healthcare services.