• Title/Summary/Keyword: university rankings

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Determining Investment Priorities Using Aggregating Indicator of Regional Economic Effects: Case of the Offshore Project for Fishery Stock Enhancement (지역경제파급효과 종합지표를 이용한 투자 우선순위 결정 : 근해 수산자원 증대사업 사례)

  • Kang, Seok-Kyu;Kang, Gi-Choon
    • The Journal of Fisheries Business Administration
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    • v.51 no.4
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    • pp.123-136
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    • 2020
  • This study attempted to propose a method of determining a project implementation area according to the purpose of the Offshore Project for Fishery Stock Enhancement after analyzing the regional economic effects in advance targeting the candidate regions for the Offshore Project for Fishery Stock Enhancement. The main results of this study can be summarized as follows: first, in comparison with the overall effect of the Offshore Project for Fishery Stock Enhancement to 2013, the production inducement coefficient increased by 0.08 in the region, but decreased by 0.39 in other regions and by 0.33 in the whole country. The value-added inducement coefficient increased by 0.01 in the region and by 0.06 in other regions, increasing 0.27 for the whole country. In the case of the employment inducement coefficient, the number of workers in the region decreased by 9.48 and increased by 0.3 in other regions, resulting in a decrease of 9.1 people in the whole country. Second, depending on the purpose of the Offshore Project for Fishery Stock Enhancement, an aggregating indicator of economic effects within the region, an aggregating indicator of economic effects in other regions, and an aggregating indicator of economic effects across the country were prepared to be used to determine the priority of the project implementation region. There was a little difference between the 2013 and 2015 regional rankings according to the standardization method, indicating that the analysis results were somewhat consistent. In conclusion, the results of this study may contribute to determine the project implementation area according to the purpose of a specific project after analyzing the regional economic effect in advance.

Korea Leading Scholars and Institutions in Maritime Research (해운물류분야 우리나라 대표연구자 및 연구기관)

  • Chang, Young-Tae;Jo, Ahhyun
    • Journal of Korea Port Economic Association
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    • v.35 no.1
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    • pp.117-138
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    • 2019
  • This paper examines Korea's top 30 authors, in the maritime transportation field to compare their world ranking. The analysis covers the affiliation of the authors and their articles published in 65 SSCI and SCI journals on maritime and transportation over a 16-year period (2000-2015). The following three indicators are used for ranking: number of papers; the weighted score that reflects the contribution of the authors; and the impact score, which considers the impact factor. The two most active two schools are Pusan National University and Inha University. Star players are deemed to have contributed greatly to boosting the ranking of their affiliated institution. The institutions that are located in a city that is a seaport show higher research outcomes. Because of the fall in the proportion of Korean papers in the total papers published globally on maritime transportation, the country's future rankings are likely to suffer.

Pollutant Sources Contribution Analysis of PM2.5 using The CMB Receptor Model (CMB 수용모델을 이용한 PM2.5의 오염원 기여도 분석)

  • Koo, Tai-Wan;Hong, Min-Sun;Moon, Su-Ho;Kim, Ho-Jung
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.3
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    • pp.866-875
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    • 2019
  • In this study, The Chemical Mass Balance (CMB) model was used to identify pollutant sources and their contributions to $PM_{2.5}$. The contribution rankings by emission source in A city were ash dust (30.1%) > biomass burning (21.9%) > secondary pollutants (21.1%) > mobile source (19.3%) > area sources (7.6%), and The emission sources increased from the contribution of the CMB model and the Clean Air Policy Support System (CAPSS) emissions were biomass burning and secondary pollutants, and The emission sources reduced were mobile source, ash dust, and area sources.

The Impact of Technology Utilization on Health Research and Development: Case Studies of the Development of Medical Device (합리적 기술 활용이 연구개발에 미치는 영향: 의료기기 개발 사례를 중심으로)

  • Min, Hye Sook;Park, Ji Eun;Kim, Chang-Yup
    • Health Policy and Management
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    • v.31 no.2
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    • pp.148-157
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    • 2021
  • Background: Based on that the key function of health technology is improving the quality of healthcare services, our study purports to explore the process of medical device development in detail and to discuss its policy implications. Methods: A total of 12 in-depth interviews were conducted with four groups of industry, hospital, academia, and civil society. All of the interviewees except those from civil society were involved in the new medical device development between 2009 and 2018. We performed a text network analysis and content analysis of the interview data. Results: The frequency and the degree centrality rankings suggested a close association between the utilization issue and the technology development. Similarly, the results of the content analysis showed that the appropriate intervention in the utilization of technology has a direct impact on the progress of development. Under the continuous industrial effort to boost profits by developing new technology, service providers and citizens should be knowledgeable of and make good use of the new technology for the provision of better services. Conclusion: As the development itself would not guarantee the improvement of service quality and better health outcomes, health technology policies should take a more comprehensive view to serve the unmet needs and even to facilitate the technology development.

An Estimation of Domestic Regional Energy Efficiency Using Stochastic Distance Function (확률적 거리함수를 활용한 지역별 에너지효율성 추정)

  • Jeong, Dasom;Kang, Sangmok
    • Environmental and Resource Economics Review
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    • v.30 no.4
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    • pp.581-605
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    • 2021
  • The purpose of this study is to provide basic data for improving energy efficiency by estimating the regional energy efficiency in Korea using the stochastic frontier approach beyond the energy intensity that has been traditionally used as an indicator of energy efficiency. In this paper, energy efficiency and energy intensity efficiency were estimated as a stochastic distance function from 1998 to 2018 for 16 cities and provinces in Korea. In addition, the robustness of energy efficiency according to the capital stock estimation methods which had been mixed in previous studies was reviewed. As a result of the analysis, there is a significant change in regional rankings according to the three energy efficiency indicators, so they should be used complementary to each other. Second, while the energy efficiency improved little by little over time, the energy intensity efficiency decreased slightly though. Lastly, energy efficiency by region according to the capital stock estimation method was not robust. Care must be taken in estimating capital stock, which is important in economic analysis.

Analysis of Efficiency and Productivity for Major Korean Seaports using PCA-DEA model (PCA-DEA 모델을 이용한 국내 주요항만의 효율성과 생산성 분석에 관한 연구)

  • Pham, Thi Quynh Mai;Kim, Hwayoung
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.123-138
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    • 2022
  • Korea has been huge investments in its port system, annually upgrading its infrastructure to turn the ports into Asian hub port. However, while Busan port is ranked fifth globally for container throughput, Other Korean ports are ranked much lower. This article applies Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) to evaluate selected major Korean seaports' operational efficiency and productivity from 2010 to 2018. It further integrates Principal Component Analysis (PCA) into DEA, with the PCA-DEA combined model strengthening the basic DEA results, as the discriminatory power weakens when the variable number exceeds the number of Decision Making Units(DMU). Meanwhile, MPI is applied to measure the seaports' productivity over the years. The analyses generate efficiency and productivity rankings for Korean seaports. The results show that except for Gwangyang and Ulsan port, none of the selected seaports is currently efficient enough in their operations. The study also indicates that technological progress has led to impactful changes in the productivity of Korean seaports.

Research on toy design based on children's education and experience (교육 및 체험 기반으로 한 어린이 장난감 디자인에 관한 연구)

  • Wang, Zheng;Hong, Dongsik
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.119-127
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    • 2022
  • Based on the theory of interactive experience in children's toy design, this paper analyzes and explores the interactive experience of education children's toys. Based on the basic elements of product design, a case study of the popular children's educational toys in the Korean sales rankings was carried out. In addition, according to the user experience model, a questionnaire survey was conducted on the popular children's educational toys sold in Korea. The results show that the top three children's educational toys by sales are smart toys. Satisfaction is highest for feeling, feeling, thinking, acting, and related experiences. It provides a theoretical basis for the interactive experience design of children's smart toys. Design experiential toys that are more suitable for children's physical and mental health and more suitable for children's psychological development.

Social Perception of Disaster Safety Education for Migrant Youth based on Big Data (빅데이터를 통해 바라본 이주배경청소년 재난안전교육에 대한 사회적 인식)

  • Ying Jin;Sang Jeong
    • Journal of the Society of Disaster Information
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    • v.20 no.2
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    • pp.462-469
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    • 2024
  • Purpose: This study aims to analyze data on disaster safety education for migrant youth and to examine the corresponding social perceptions. Method: Data on disaster safety education for migrant youth were collected and analyzed using Textom and Ucinet. The data used in the study were searched on portal websites from 2016 to 2023 using the keywords 'migrant youth+ disaster + safety education'. Result: The analysis results showed that 'education (306)' had the highest frequency, followed by 'safety (287)', 'school (97)', 'society (85)', and 'support (77)'. The keyword with the high degree of centrality, closeness centrality, and betweenness centrality were 'education', 'safety' and 'society'. 'Family' ranked higher in betweenness centrality than the rankings of frequency analysis, degree centrality and closeness centrality, indicating that 'family' plays a significant role as a mediator in the network of disaster safety education for migrant youth. Conclusion: By examining social awareness about disaster safety education for migrant youth, the findings will be used to develop policies and strategies for disaster safety education that consider the unique vulnerabilities of migrant youth in disaster situations.

GoAsap: A Proposal for a Golang New Version Detection and Analysis System from a Static Analysis Perspective (GoAsap: 정적분석 관점에서 바라보는 Golang 신버전 탐지·분석시스템 제안)

  • Hyeongmin Kang;Yoojae Won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.4
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    • pp.707-724
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    • 2024
  • Recently, Golang has been gaining attention in programming language rankings each year due to its cross-compilation capabilities and high code productivity. However, malware developers have also been increasingly using it to distribute malware such as ransomware and backdoors. Interestingly, Golang, being an open-source language, frequently changes the important values and configuration order of a crucial structure called Pclntab, which includes essential values for recovering deleted symbols whenever a new version is released. While frequent structural changes may not be an issue from a developer's perspective aiming for better code readability and productivity, it poses challenges in cybersecurity, as new versions with modified structures can be exploited in malware development. Therefore, this paper proposes GoAsap, a detection and analysis system for Golang executables targeting the new versions, and validates the performance of the proposed system by comparing and evaluating it against six existing binary analysis tools.

A Study about The Impact of Music Recommender Systems on Online Digital Music Rankings (음원 추천시스템이 온라인 디지털 음원차트에 미치는 파급효과에 대한 연구)

  • Kim, HyunMo;Kim, MinYong;Park, JaeHong
    • Information Systems Review
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    • v.16 no.3
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    • pp.49-68
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    • 2014
  • These days, consumers have increasingly preferred to digital real-time streamlining and downloading to listen to music because this is convenient and affordable for the consumers. Accordingly, sales of music in compact disk formats have steadily declined. In this regards, online digital music has become a new communication channel to listen musics, where digital files can be delivered over various online networks to people's computing devices. The majority of online digital music distributors has Music Recommender Systems for sales of digital music on their websites. Music Recommender Systems are parts of information filtering systems that provide the ratings or preferences that users give to music. Korean online digital music distributors have Music Recommender Systems. But those online music distributors didn't provide any rules or clear procedures that recommend music. Therefore, we raise important questions as follows: "Is Music Recommender Systems Fair?", "What is the impact of Music Recommender Systems on online music rankings and sales?" While previous studies have focused on usefulness of Music Recommender Systems, this study investigates not only fairness of Current Music Recommender Systems but also Relationship between Music Recommender Systems and online Music Charts. This study examines these issues based on Bandwagon effect, ranking effect, Slot effect theories. For our empirical analysis, we selected the most famous five online digital music distributors in terms of market shares. We found that all recommended music is exposed to the top of 'daily music charts' in online digital music distributors' websites. We collected music ranking data and recommended music data from 'daily music chart' during a one month. The result shows that online music recommender systems are not fair, since they mainly recommend particular music that supported by a specific music production company. In addition, the recommended music are always exposed to the top of music ranking charts. We also find that recommended music usually appear at the top 20 ranking charts within one or two days. Also, the most music in the top 50 or 100 ranks are the recommended music. Moreover, recommended music usually remain the ranking charts more than one month while non-recommended music often disappear at the ranking charts within two week. Our study provides an important implication to online music industry. Because music recommender systems and music ranking charts are closely related, music distributors may improperly use their recommender systems to boost the sales of music that related to their own companies. Therefore, online digital music distributor must clearly announce the rules and procedures about music recommender systems for the better music industry.