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An Importance-Performance Analysis of Location Selection Factors for International Distribution Center in Port Hinterland (IPA기법을 통한 항만배후단지 내 국제물류센터 입주결정요인 분석)

  • Kim, Si-Hyun
    • Korea Trade Review
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    • v.42 no.1
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    • pp.283-301
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    • 2017
  • As a consequence of the changed role and functions in port operations, the role of port hinterland has transformed to multi-functional logistic centre linking more efficiently elements of the supply chain. This paper analysed distribution centre selection factors in Busan new port hinterland, aiming to diagnose and evaluate the operational situations of port hinterland as multi-functional logistics centre. Based on a data collected from all 122 samples located in Busan new port hinterland, determinants for location competitiveness identified were: political support, market potentiality, infrastructure utilization, market niche, and connectivity. Comparing the difference between an importance and performance, it is revealed that the target port hinterland requires urgent improvement in political supports such as incentive programmes offered by host country, free trade system and related law, financial assistance in constructing distribution centers, and simplicity, ease and efficiency of administrative procedures. The results provide useful insights for establishing future improvement strategies and a strategic agenda to successfully respond to the demands of the companies located in port hinterlands and/or new customers those who want to move in.

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A New Direction of Rural Underemployment and Non-Farm Employment (농촌지역 불완전고용 해소와 농업의 일자리 확대 방향)

  • Lee, M.S.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.20 no.2
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    • pp.13-29
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    • 2018
  • Currently, rural labor markets are undergoing a structural change in which the proportion of non-agricultural industries is increasing, instead of decreasing the proportion of agriculture. The purpose of this study is to propose policy for job creation in rural areas through analyzing the employment situation in Rural Korea in the context of this structural change. Using the Census of Agriculture, Farm Household Economy Survey, we analyzed the increase of low income farmers and self-employed farmers. We analyzed the changes of non-farm employment in rural areas using the Census on Establishment. The main results of the study are as follows. First, farms' pathways are very diverse by the levels of income from their own farming and other gainful activities. It is necessary to implement policies that take into account the development pathways of farm household. Second, most of the farms are in low-income and self-employment status. In order to increase their incomes, it is necessary to increase non-farm income earning policy. The rural non-farm economy is becoming increasingly important in rural Korea. The growth of the non-farm economy will be crucially important when it comes to creating new jobs in rural areas in rural Korea. Third, it is necessary to provide systematic support for rural entrepreneurship as a core policy for expanding jobs beyond agriculture. Rural entrepreneurship has the potential to drive innovations that can reduce poverty and create employment. Fourth, there is a need for measures to increase jobs in the welfare field, which is growing fastest in recent years. In the welfare field, we can find vigorous collective actions in some rural communities such as community business, cooperative movement and various community development activities. Those activities will help increase the employment of aged farmers and low-income farm household.

Measurement of Minimum Inhibitory Concentration of Toxic Chemicals against Pseudomonas aeruginosa and Staphylococcus aureus (유해 화학물질 처리에 의한 녹농균과 포도상구균의 성장저해최소농도 측정)

  • Jiseon An;Jingyeong Kim;Jae Seong Kim;Chang-Soo Lee
    • Clean Technology
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    • v.29 no.2
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    • pp.135-144
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    • 2023
  • Pseudomonas aeruginosa and Staphylococcus aureus are the two most frequently encountered pathogens responsible for chronic wound infections, often coexisting in such cases. These infections exhibit heightened virulence compared to single infections, leading to unfavorable patient outcomes. The interaction among microorganisms within polymicrobial infections has been shown to exacerbate disease progression. Polymicrobial infections, prevalent in various contexts such as the respiratory tract, wounds, and diabetic foot, typically involve diverse microorganisms, with Pseudomonas aeruginosa and Staphylococcus aureus being the most commonly identified pathogens. This study aimed to compare the growth patterns of bacteria under a concentration gradient of toxic chemicals, focusing on a Gram-negative strain of Pseudomonas aeruginosa and a Gram-positive strain of Staphylococcus aureus. The minimum inhibitory concentration (MIC), which signifies the concentration at which bacterial growth is inhibited, was determined by performing broth microdilution and assessing the bacteria's growth curves. The growth curves of both Pseudomonas aeruginosa and Staphylococcus aureus were confirmed, and the exponential growth phases were applied to calculate the doubling times of bacteria. The MIC value for each toxic chemical was determined through broth microdilution. These results allowed for the identification of disparities in growth rates between Gram-positive and Gram-negative bacteria, as well as differences in resistance to individual toxic substances. We expect that this approach has a strong potential for further development towards the innovative treatment of bacteria-associated infections.

Improving the Classification of Population and Housing Census with AI: An Industry and Job Code Study

  • Byung-Il Yun;Dahye Kim;Young-Jin Kim;Medard Edmund Mswahili;Young-Seob Jeong
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.21-29
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    • 2023
  • In this paper, we propose an AI-based system for automatically classifying industry and occupation codes in the population census. The accurate classification of industry and occupation codes is crucial for informing policy decisions, allocating resources, and conducting research. However, this task has traditionally been performed by human coders, which is time-consuming, resource-intensive, and prone to errors. Our system represents a significant improvement over the existing rule-based system used by the statistics agency, which relies on user-entered data for code classification. In this paper, we trained and evaluated several models, and developed an ensemble model that achieved an 86.76% match accuracy in industry and 81.84% in occupation, outperforming the best individual model. Additionally, we propose process improvement work based on the classification probability results of the model. Our proposed method utilizes an ensemble model that combines transfer learning techniques with pre-trained models. In this paper, we demonstrate the potential for AI-based systems to improve the accuracy and efficiency of population census data classification. By automating this process with AI, we can achieve more accurate and consistent results while reducing the workload on agency staff.

Research study on cognitive IoT platform for fog computing in industrial Internet of Things (산업용 사물인터넷에서 포그 컴퓨팅을 위한 인지 IoT 플랫폼 조사연구)

  • Sunghyuck Hong
    • Journal of Internet of Things and Convergence
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    • v.10 no.1
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    • pp.69-75
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    • 2024
  • This paper proposes an innovative cognitive IoT framework specifically designed for fog computing (FC) in the context of industrial Internet of Things (IIoT). The discourse in this paper is centered on the intricate design and functional architecture of the Cognitive IoT platform. A crucial feature of this platform is the integration of machine learning (ML) and artificial intelligence (AI), which enhances its operational flexibility and compatibility with a wide range of industrial applications. An exemplary application of this platform is highlighted through the Predictive Maintenance-as-a-Service (PdM-as-a-Service) model, which focuses on real-time monitoring of machine conditions. This model transcends traditional maintenance approaches by leveraging real-time data analytics for maintenance and management operations. Empirical results substantiate the platform's effectiveness within a fog computing milieu, thereby illustrating its transformative potential in the domain of industrial IoT applications. Furthermore, the paper delineates the inherent challenges and prospective research trajectories in the spheres of Cognitive IoT and Fog Computing within the ambit of Industrial Internet of Things (IIoT).

The Effect of Engagement on Psychological Empowerment and Job Engagement on Proactive Behavior (심리적 임파워먼트와 직무열의가 주도적 행동에 미치는 영향)

  • Eun Hye, Park;Mi Hee, Kim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.6
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    • pp.127-140
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    • 2022
  • The present study assumes that active and voluntary actions of organizational members in domestic enterprises can improve organizational performance as they have to seek differentiated strategies and changes in the midst of infinite competition. Considering the nature of psychological empowerment and proactive behavior, the study conducted a survey on members of companies with 100 or more workers of a certain size and used 300 samples for the study. Accordingly, this study attempted to investigate the relationship between personal factors influencing overall organizational competitiveness, i. e. job engagement, proactive behavior and psychological empowerment. Also, the mediating effects of job engagement on the relationship between psychological empowerment and proactive behavior were also examined here. The analysis established the relationship between psychological empowerment, job engagement and proactive behavior. Also, psychological empowerment was found to exert positive influence on job engagement and proactive behavior to a significant extent. Likewise, job engagement proved to have positive influence on proactive behavior to a significant degree. In addition, the mediating effects of job engagement on the relationship between psychological empowerment and proactive behavior were confirmed. Based on these findings, this study suggested relevant theoretical rationales and practical implications.

A Study on Analysis and Enhancement Strategy of South Korea's Defense Industry Exports Amidst Global Geopolitical Crisis (세계 지정학적 위기 속에서 한국의 방산수출 분석 및 강화 전략 연구)

  • Dongbum Kim;Youngsam Yoon
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.181-188
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    • 2024
  • Amid global geopolitical crises that are heightening tensions worldwide, the importance of national security is being reevaluated. Consequently, South Korea is gaining attention in the global defense market due to its superior technology, competitive pricing, and rapid delivery capabilities. The increasing international demand for defense materials offers opportunities for the development of the domestic defense industry and has the potential to lead to long-term defense strategies and an expansion of exports. In particular, the development of future advanced weapons systems and the expansion of defense exports are likely to be possible through a deep understanding of the international political and economic situation and proactive defense diplomacy. This study analyzes the impact of current global geopolitical crises on Korea's defense industry and presents effective strategies based on these findings, including innovative improvements to defense acquisition systems and the discovery of overseas defense cooperation partners to strengthen defense exports. This strategic approach aims to balance domestic consumption with exports, enhance military strength, and improve the country's standing in the international community. Therefore, efforts are needed to ensure the sustainable growth of the defense industry, enabling South Korea to achieve economies of scale and play a pivotal role in the global defense industry.

Measuring Spatial Accessibility to the Hospitals for Infants, Children, Adolescents, and Elderly Population Using 2SFCA: A Case Study of Chuncheon-si, Gangwon-do (2SFCA를 활용한 노인과 소아청소년에 대한 병원 접근성 분석: 강원도 춘천시를 사례로)

  • Jung, Nan-Ju;Kang, Jeon-Young
    • Journal of Cadastre & Land InformatiX
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    • v.54 no.1
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    • pp.49-61
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    • 2024
  • South Korea faces a declining population and rural areas vanishing due to urbanization. Infrastructure, especially medical facilities, may not be sustainable for a long-term. This may impact vulnerable groups like children, teens, and the elderly, worsened by an aging population and low birth rates. Gangwon-do, notably Chuncheon-si, suffers from rural depopulation and poor healthcare self-sufficiency. In this paper, using 2SFCA(Two-Step Floating Catchment Area), we analyze healthcare access in Chuncheon-si, identifying gaps and vulnerable areas. LISA analysis helps map medical vulnerability, considering patient demand and supply. The Gini coefficient assesses spatial inequality. We propose distributing healthcare services and personnel based on age and region. The aim is to identify locations for additional hospitals catering to the elders, Infants, Children, and Adolescents,considering spatial accessibility.

Investigation of radical scavenging and anti-inflammatory activity of the extract and fractions of Termitomyces albuminosus (계종버섯 추출물과 분획물의 라디칼 소거 활성과 항염증 활성 분석)

  • Kang, Min-Jae;Kim, Young-Jae;Hwang, Hyeon-Jeong;Kim, Moon-Ho;Sin, Jong-Moo;Shin, Pyung-Gyun;Kim, Gun-Do;Kim, Keun Ki
    • Journal of Mushroom
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    • v.18 no.1
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    • pp.45-52
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    • 2020
  • Termitomyces albuminosus has been recognized to have the best mushrooms in China, in terms of taste and aroma. The efficacy of these mushrooms has been recorded in the botanical list. However, research on the development of their artificial culture methods is necessary. In this study, we prepared an organic solvent extract and a hot water extract to understand the development of compounds and functional foods with antioxidant and anti-inflammatory activities. The IC50 value of DPPH radical scavenging activity of the hot water extract (TA4) was 1.5 mg/mL and the IC50 value of the MeOH fraction (TA2) was 1.93 mg/mL. The anti-inflammatory activity was investigated by the inhibition of NO production. EtOAc fraction (TA1) is a crude extract, but 79% of NO production was inhibited at 100 ㎍/mL. NO was not produced at 200 ㎍/mL. TA1-5-6, from TA1 inhibited NO production by 15% as compared to the positive control at 15 ㎍/mL, and completely inhibited NO production at 30 ㎍/mL. No cytotoxicity was observed at 50 ㎍/mL. TA2-1-5 from the MeOH fraction (TA2) inhibited more than 75% of NO production at 30 ㎍/mL; cytotoxicity was very low even at 50 ㎍/mL. In conclusion, by selective solvent selection, it was possible to manufacture an extract with no cytotoxicity and excellent biological activities. Furthermore, the extracts showed potential for developing various functional foods and drugs.

An analysis of current condition of student's selection process in Hansung science highschool (한성과학고등학교 학생 선발과정의 현황 분석)

  • Dong, Hyo-Kwan;Jhun, Young-Seok
    • Journal of Gifted/Talented Education
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    • v.13 no.4
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    • pp.65-94
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    • 2003
  • The purpose of this study is to acquire the information on the current situation of students' selection process in order to renovate the system of picking up the students. As a first step of the study, we examined the validity of the factors of the single-out system such as qualification and the process for the application and the standards and proceeding of the selection. Then we analysed the result of the entrance examination of Hansung Science Highschool in 2002. The analysis was on the correlation between the result of entrance examination and the achievement in the school and the decision of the course after graduation. To know on the achievement of the students, we investigated the records of regular tests and asked the teachers' opinion in math and science classes. As a result, we gained the following points: First, the present single-out system has a danger of excluding students who are much talented in science and math field because it is based on students' achievements in middle schools; Second, the new selection system should consider the character and attitude of the applicants in addition to their knowledge; Third, the continuous observation of the teacher in middle school should be an important factor of the picking up system; Fourth, more questions requiring divergent thinking ability and inquiry skill should be developed as selective examination question. Also examination questions should cover the various contents from mathematics to science, and do not affect pre-learning; Finally, the system of present letting all students stand in one line should be changed into that of letting students in various lines. We can consider using multi-step selection system.