• Title/Summary/Keyword: IT convergence

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Study of Korea Import and Export networks and Cohesion Analysis (SNA를 이용한 국내 수출입 네트워크 구조와 응집성 분석)

  • Joo-Hye Kim;Jeong-Min Lee;Kim Yul-Seong
    • Journal of Navigation and Port Research
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    • v.48 no.3
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    • pp.181-191
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    • 2024
  • Ports play a crucial role in the complex global supply chain. While many researchers have used social network analysis (SNA) to study active networks, there is a lack of SNA cohesion analysis specifically related to logistics and trade. Therefore, this study aims to identify time-series structural changes in all domestic import and export logistics networks, including regions, ports, and airports, by utilizing techniques such as k-core and community analysis. To carry out this analysis, we rely on data from the Korea Customs Service's Import and Export Logistics Statistical Yearbook spanning from 2004 to 2022. The findings from the k-core and community analysis indicate that the cohesion of the domestic import and export logistics network has continuously strengthened over time. Moreover, it reveals that regions, ports, and airports are becoming more cohesive and homogeneous, with Busan Port emerging as the central hub of a large community. These insights are expected to enhance our understanding of global logistics dynamics and contribute to the development of policies and sustainable import and export logistics processes.

An Analysis of the Support Policy for Small Businesses in the Post-Covid-19 Era Using the LDA Topic Model (LDA 토픽 모델을 활용한 포스트 Covid-19 시대의 소상공인 지원정책 분석)

  • Kyung-Do Suh;Jung-il Choi;Pan-Am Choi;Jaerim Jung
    • Journal of Industrial Convergence
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    • v.22 no.6
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    • pp.51-59
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    • 2024
  • The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

The Impact of Nomad Physical Activity Through Online Videos of Active Seniors on Physical Self-Perception and Successful Aging (엑티브시니어의 온라인 동영상을 통한 노마드 체육활동이 신체적자기지각과 성공적 노화에 미치는 영향)

  • Hye-young Hwang;Soo-Jin Seo;Hyun-Kyoung Kim;Hey-Jin Kim;Heung-Tae Kim
    • Journal of Industrial Convergence
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    • v.22 no.6
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    • pp.81-88
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    • 2024
  • The purpose of this study is to provide academic basic data by identifying the effects of active seniors' online video physical activity on physical self-perception and successful aging. In order to achieve the purpose of this study, 10 active seniors in D city were selected, and after receiving consent to participate in online video physical activity, it was divided into pre and post, and from March 14 to April 22, 2022, Kakao Talk group chat was opened to watch online physical activity videos during the 12th session, download 2 videos a week, and exercise from Monday to Friday. To solve the research problem, frequency analysis and paired t-test were conducted using the SPSS Ver20.0 statistical program. As a result, first, as a result of analyzing the pre- and post-tests of physical self-perception through physical activity of active seniors, all of face satisfaction, body satisfaction, change in physical strength, and change in disease increased on average. Second, as a result of pre- and post-analysis of active seniors' successful aging through physical activity, acceptance of others, orientation toward self-fulfillment, self-acceptance, and satisfaction with children increased, but autonomous life and active participation in life decreased. Through these results, in the COVID-19 period, when activities were restricted due to social distancing, active seniors' online video physical activity has a positive effect on physical self-perception and successful aging, and various programs that can be active on their own should be developed in the future.

A Study on the Optimization Period of Light Buoy Location Patterns Using the Convex Hull Algorithm (볼록 껍질 알고리즘을 이용한 등부표 위치패턴 최적화 기간 연구)

  • Wonjin Choi;Beom-Sik Moon;Chae-Uk Song;Young-Jin Kim
    • Journal of Navigation and Port Research
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    • v.48 no.3
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    • pp.164-170
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    • 2024
  • The light buoy, a floating structure at sea, is prone to drifting due to external factors such as oceanic weather. This makes it imperative to monitor for any loss or displacement of buoys. In order to address this issue, the Ministry of Oceans and Fisheries aims to issue alerts for buoy displacement by analyzing historical buoy position data to detect patterns. However, periodic lifting inspections, which are conducted every two years, disrupt the buoy's location pattern. As a result, new patterns need to be analyzed after each inspection for location monitoring. In this study, buoy position data from various periods were analyzed using convex hull and distance-based clustering algorithms. In addition, the optimal data collection period was identified in order to accurately recognize buoy location patterns. The findings suggest that a nine-week data collection period established stable location patterns, explaining approximately 89.8% of the variance in location data. These results can improve the management of light buoys based on location patterns and aid in the effective monitoring and early detection of buoy displacement.

A Study on Metaverse Framework Design for Education and Training of Hydrogen Fuel Cell Engineers (수소 연료전지 엔지니어 양성을 위한 메타버스 교육훈련 플랫폼에 관한 연구)

  • Yang Zhen;Kyung Min Gwak;Young J. Rho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.207-212
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    • 2024
  • The importance of hydrogen fuel cells continues to be emphasized, and there is a growing demand for education and training in this field. Among various educational environments, metaverse education is opening a new era of change in the global education industry, especially to adapt to remote learning. The most significant change that the metaverse has brought to education is the shift from one-way, instructor-centered, and static teaching approaches to multi-directional and dynamic ones. It is expected that the metaverse can be effectively utilized in hydrogen fuel cell engineer education, not only enhancing the effectiveness of education by enabling learning and training anytime, anywhere but also reducing costs associated with engineering education.In this research, inspired by these ideas, we are designing a fuel cell education platform. We have created a platform that combines theoretical and practical training using the metaverse. Key aspects of this research include the development of educational training content to increase learner engagement, the configuration of user interfaces for improved usability, the creation of environments for interacting with objects in the virtual world, and support for convergence services in the form of digital twins.

Big Data Analytics in RNA-sequencing (RNA 시퀀싱 기법으로 생성된 빅데이터 분석)

  • Sung-Hun WOO;Byung Chul JUNG
    • Korean Journal of Clinical Laboratory Science
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    • v.55 no.4
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    • pp.235-243
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    • 2023
  • As next-generation sequencing has been developed and used widely, RNA-sequencing (RNA-seq) has rapidly emerged as the first choice of tools to validate global transcriptome profiling. With the significant advances in RNA-seq, various types of RNA-seq have evolved in conjunction with the progress in bioinformatic tools. On the other hand, it is difficult to interpret the complex data underlying the biological meaning without a general understanding of the types of RNA-seq and bioinformatic approaches. In this regard, this paper discusses the two main sections of RNA-seq. First, two major variants of RNA-seq are described and compared with the standard RNA-seq. This provides insights into which RNA-seq method is most appropriate for their research. Second, the most widely used RNA-seq data analyses are discussed: (1) exploratory data analysis and (2) pathway enrichment analysis. This paper introduces the most widely used exploratory data analysis for RNA-seq, such as principal component analysis, heatmap, and volcano plot, which can provide the overall trends in the dataset. The pathway enrichment analysis section introduces three generations of pathway enrichment analysis and how they generate enriched pathways with the RNA-seq dataset.

Information Security Job Skills Requirements: Text-mining to Compare Job Posting and NCS (정보보호 직무 수행을 위해 필요한 지식 및 기술: 텍스트 마이닝을 이용한 구인광고와 NCS의 비교)

  • Hyo-Jung Jun;Byeong-Jo Park;Tae-Sung Kim
    • Information Systems Review
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    • v.25 no.3
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    • pp.179-197
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    • 2023
  • As a sufficient workforce supports the industry's growth, workforce training has also been carried out as part of the industry promotion policy. However, the market still has a shortage of skilled mid-level workers. The information security disclosure requires organizations to secure personnel responsible for information security work. Still, the division between information technology work and job areas is unclear, and the pay is not high for responsibility. This paper compares job keywords in advertisements for the information security workforce for 2014, 2019, and 2022. There is no difference in the keywords describing the job duties of information security personnel in the three years, such as implementation, operation, technical support, network, and security solution. To identify the actual needs of companies, we also analyzed and compared the contents of job advertisements posted on online recruitment sites with information security sector knowledge and skills defined by the National Competence Standards used for comprehensive vocational training. It was found that technical skills such as technology development, network, and operating system are preferred in the actual workplace. In contrast, managerial skills such as the legal system and certification systems are prioritized in vocational training.

Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels

  • Pyeong Hwa Kim;Hee Mang Yoon;Jeong Rye Kim;Jae-Yeon Hwang;Jin-Ho Choi;Jisun Hwang;Jaewon Lee;Jinkyeong Sung;Kyu-Hwan Jung;Byeonguk Bae;Ah Young Jung;Young Ah Cho;Woo Hyun Shim;Boram Bak;Jin Seong Lee
    • Korean Journal of Radiology
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    • v.24 no.11
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    • pp.1151-1163
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    • 2023
  • Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7-12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343; median age [IQR], 10 [4-15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5-14] years; male: female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion: The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.

Study on Domestic Trends of Green Fuel Policy

  • Sangseop Lim;Sang-Mi Im;Seok-Hun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.183-189
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    • 2024
  • Against the backdrop of IMO's stricter environmental regulations due to global warming, Europe's Fit for 55 plan, and other initiatives, the establishment of infrastructure for the supply of environmentally friendly marine fuels and policy analysis are more critical than ever. This study comprehensively analyzes existing research and policies on the supply of environmentally friendly marine fuels, as well as trends in regulations, industry responses, and the current status of infrastructure for the supply of environmentally friendly fuels, to draw insightful conclusions. The results show that the establishment of infrastructure for the supply of environmentally friendly fuels is as important as the introduction of environmentally friendly ships, due to the strengthening of environmental regulations. LNG is a viable option in the short term, but a transition to carbon-free fuels is necessary in the long run. In this regard, a strategic approach is needed to focus support on fuels that are advantageous to produce, considering domestic industrial conditions from a long-term perspective. Therefore, the government should actively promote infrastructure development through measures such as supporting the development and supply of environmentally friendly fuels, improving regulations and providing incentives, attracting private investment, and strengthening international cooperation. This study is expected to serve as a valuable resource for setting policy directions for the transition to an environmentally friendly maritime industry. Future research will include a comparative analysis of the economic viability of environmentally friendly fuels and basic research on the selection of fuels that are advantageous to Korea.

Effects of Family-Centered Intervention for Children with Autism Spectrum Disorder in South Korea: A Systematic Review - Focusing on Parent Education and Parent Coaching - (국내 자폐스펙트럼장애 아동에 대한 가족 중심 중재 효과: 체계적 고찰 - 부모 교육 및 부모 코칭 중심으로 - )

  • Choi, Yoon-Mi;Yoo, Eun-Young
    • The Journal of Korean Academy of Sensory Integration
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    • v.21 no.3
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    • pp.65-78
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    • 2023
  • Objective : In this study, we aimed to investigate the effectiveness of family-centered intervention conducted with caregivers of children with autism spectrum disorder (ASD) in South Korea through a systematic literature review. Methods : Previous studies published from 2011 to 2021 were searched through RISS, KISS, and DBpia. The search terms applied included "autism spectrum" OR "general developmental disorder" OR "high-functioning autism" OR "Asperger's" AND "parent education" OR "family-centered intervention" OR "parent coaching" OR "parent training" OR "family participation." A total of 11 experimental studies were chosen based on the selection criteria. Results : According to the findings on the general characteristics of the study participants, intervention strategies, and effects of the intervention, it was observed that the majority of children with ASD who participated in the study were preschool-aged, and the majority of participating caregivers were mothers. The effects of family-centered interventions were evident in both children and parents. In children, the most significant effects were observed in interaction and communication skills. In parents, a reduction in parenting stress and an improvement in parenting efficacy were observed. The intervention strategies employed in the study varied, with sensory integration intervention, responsive communication, and interaction-centered intervention being the most commonly used, followed by developmental-centered intervention, positive behavior support (PBS), and parent-mediated intervention based on pivotal response treatment (PRT). Conclusion : The results of this study are significant in that they confirm that family-centered intervention is effective not only in improving the functioning of children with autism spectrum disorder, but also in reducing parenting stress and enhancing parenting efficacy, and provide evidence for clinical use.