• Title/Summary/Keyword: National intelligence agency

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AI-Based Particle Position Prediction Near Southwestern Area of Jeju Island (AI 기법을 활용한 제주도 남서부 해역의 입자추적 예측 연구)

  • Ha, Seung Yun;Kim, Hee Jun;Kwak, Gyeong Il;Kim, Young-Taeg;Yoon, Han-Sam
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.34 no.3
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    • pp.72-81
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    • 2022
  • Positions of five drifting buoys deployed on August 2020 near southwestern area of Jeju Island and numerically predicted velocities were used to develop five Artificial Intelligence-based models (AI models) for the prediction of particle tracks. Five AI models consisted of three machine learning models (Extra Trees, LightGBM, and Support Vector Machine) and two deep learning models (DNN and RBFN). To evaluate the prediction accuracy for six models, the predicted positions from five AI models and one numerical model were compared with the observed positions from five drifting buoys. Three skills (MAE, RMSE, and NCLS) for the five buoys and their averaged values were calculated. DNN model showed the best prediction accuracy in MAE, RMSE, and NCLS.

Prevalence and molecular analysis of glucose-6-phosphate dehydrogenase deficiency in Chin State, Myanmar

  • Ja Moon Aung;Zin Moon;Dorene VanBik;Sylvatrie-Danne Dinzouna-Boutamba;Sanghyun Lee;Zau Ring;Dong-Il Chung;Yeonchul Hong;Youn-Kyoung Goo
    • Parasites, Hosts and Diseases
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    • v.61 no.2
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    • pp.154-162
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    • 2023
  • Glucose-6-phosphate dehydrogenase (G6PD) deficiency is caused by X-linked recessive disorderliness. It induces severe anemia when a patient with G6PD deficiency is exposed to oxidative stress that occurs with administration of an antimalarial drug, primaquine. The distribution of G6PD deficiency remains unknown while primaquine has been used for malaria treatment in Myanmar. This study aimed to investigate the prevalence of G6PD deficiency and its variants in Chin State, Myanmar. Among 322 participants, 18 (11 males and 7 females) demonstrated a G6PD deficiency. Orissa variant was dominant in the molecular analysis. This would be related to neighboring Indian and Bangladeshi population, in which Orissa variant was also reported as the main mutation type. The screening test for G6PD deficiency before primaquine treatment appears to be important in Myanmar.

A Study on Non-Facing Services of National Pension in the era of the 4th industrial revolution (4차 산업혁명 시대의 비대면 국민연금서비스에 관한 연구)

  • Min, Ki-chae;Lee, Kyu-sung
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.3
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    • pp.139-147
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    • 2018
  • This study starts with the consciousness of what should be the public pension service that meets the 4th Industrial Revolution era. To do this, we review the current status of non-facing services of domestic and foreign public institutions, and draw out implications for revitalizing non-facing services of the National Pension over the medium to long term. First, we reviewed the status of non-face-to-face service and the authentication method of the National Pension Service. Next, we reviewed the status of non-facing services in public pension and private agencies in the United States, the United Kingdom, Canada, and Australia. Based on the results of the analysis, we needs to analyze the impact of the 4th Industrial Revolution on the National Pension Service and extract future strategies, to expand channels of non-facing by business, to introduce PinTech as a non-facing authentication method, and to propose a unified service channel through the construction of an internet integrated portal. In the 4th industrial revolution era, it is possible to secure the connectivity of government portal for civil affairs and intelligence and automation introducing artificial intelligence robots.

Cognitive Ability in Midlife and Labor Market Participation Among Older Workers: Prospective Cohort Study With Register Follow-up

  • Sundstrup, Emil;Hansen, Ase M.;Mortensen, Erik L.;Poulsen, Otto M.;Clausen, Thomas;Rugulies, Reiner;Moller, Anne;Andersen, Lars L.
    • Safety and Health at Work
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    • v.11 no.3
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    • pp.291-300
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    • 2020
  • Background: The study aimed to determine the association of individual cognitive ability in late midlife with labor market participation among older workers. Methods: This prospective cohort study estimates the risk of long-term sickness absence, disability pension, early retirement, and unemployment from scores on the Intelligenz-Struktur-Test 2000R by combining data from 5076 workers from the Copenhagen Aging and Midlife Biobank with a register on social transfer payments. Analyses were stepwise adjusted for age, gender, physical and psychosocial work environment, health behaviors, occupational social class, education, and chronic diseases. Results: In the fully adjusted model, low cognitive ability (≥1 standard deviation below the mean for each gender) and high cognitive ability (≥1 standard deviation above the mean for each gender) were not associated with risk of any of the four labor market outcomes. Conclusion: Individual cognitive ability in late midlife was not associated with risk of long-term sickness absence, disability pension, early retirement, and unemployment in the fully adjusted model. Thus, no direct effect of individual cognitive ability in late midlife was observed on the risk of permanently or temporarily leaving the labor market.

An Analysis of ICT Professional Operations for National Intelligence Informatization and Digital Platform Government Realization (국가 지능정보화와 디지털플랫폼 정부 실현을 위한 ICT 전문인력 운영 실태 분석)

  • Seokyoung Kim;Kwangki Ryoo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.675-683
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    • 2023
  • Countries around the world are accelerating digital transformation based on intelligent information technology to overcome the economic and social crisis caused by the COVID-19 pandemic and enhance national competitiveness. Based on the Framework Act on Intelligent Informatization, Korea is also focusing on implementing various intelligent informatization policies, projects, and digital platform government. In this study, the government's professional manpower status and operation status were investigated and analyzed based on national statistics, and the number of professionals was insufficient compared to the rapidly increasing project and budget. Based on the results of this study, we hope to achieve a successful digital transformation by calculating appropriate personnel for informatization at the national level and recruiting them as soon as possible

Classification of OECD Countries Based on National AI Competitiveness: Employing Fuzzy-set Ideal Type Analysis (국가 AI 경쟁력에 따른 OECD 국가 유형 분류: 퍼지셋 이상형 분석을 중심으로)

  • Shin, Seung-Yoon
    • Informatization Policy
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    • v.31 no.2
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    • pp.39-64
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    • 2024
  • This study assesses the national AI competitiveness of 38 OECD countries with focus on AI human capital, AI infrastructure, and AI innovation capacity. Utilizing the fuzzy-set ideal type analysis method, these countries were categorized into eight distinct types based on their national AI competitiveness levels, leading to the derivation of pertinent implications. The analysis identified a category termed "AI Leading Country" consisting of North American, Western European, and Nordic countries, along with several Asian nations including South Korea. Remarkably, the United States demonstrated dominant global national AI competitiveness, achieving the highest fuzzy scores across all three evaluative factors. South Korea was classified as an "AI Leading Country" primarily due to its superior AI infrastructure, but its performance in AI human capital and AI innovation capacity was found to be moderate relative to other analyzed nations; thus highlighting the necessity of sustained focus on the accumulation of AI human capital and bolstering of AI innovation capacity.

Deep Learning City: A Big Data Analytics Framework for Smart Cities (딥러닝 시티: 스마트 시티의 빅데이터 분석 프레임워크 제안)

  • Kim, Hwa-Jong
    • Informatization Policy
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    • v.24 no.4
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    • pp.79-92
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    • 2017
  • As city functions develop more complex and advanced, interests in smart cities are also increasing. Smart cities refer to the cities effectively solving urban problems such as traffic, safety, welfare, and living issues by utilizing ICT. Recently, many countries are attempting to introduce big data, Internet of Things, and artificial intelligence into smart cities, but they have not yet developed into comprehensive urban services. In this paper, we review the current status of domestic and overseas smart cities and suggest ways to solve issues of data sharing and service compatibility. To this end, we propose a "Deep Learning City Framework" that incorporates the deep learning technology into smart city services, and propose a new smart city strategy that safely shares spatial and temporal data in cities and converges learning data of various cities.

A Study on the Conceptual Design of Smart App Authoring Tool

  • Chang, Young-Hyun
    • International Journal of Advanced Culture Technology
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    • v.3 no.2
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    • pp.118-123
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    • 2015
  • IT environment gets more complicated in terms of open platform, network standards, device design and hardware, etc. Smart network and application are in the fields of corporate as well as national competition for future fusion technology. In development environment focused on computers, the ideas of authoring tool have been presented in terms of improved software productivity. In smart environment where subdividing works are consecutively done, current authoring tool should be effectively updated for effective development of programs and easier access to business works. The basic concept of a new conceptual App development tool, Smart App Authoring Tool, which has been designed in this study and enables to apply on-site requirements to smart phones, is to develop Apps on the level using easy-to-learn Word or Excel in a computer. Therefore, this study is intended to design a conceptual Smart App Authoring Tool to optimize the cost and time for developing and maintaining new application services under various smart phone platform environments. Based on the performance of smart app authoring tool herein, every people can develop a smart app program at moderate level. So this paper have designed a conceptual smart app authoring tool. This study presented educational efficiency of the authoring tool by developing business Apps under various business environments and applying them under university and high school environments.

A Certificateless-based One-Round Authenticated Group Key Agreement Protocol to Prevent Impersonation Attacks

  • Ren, Huimin;Kim, Suhyun;Seo, Daehee;Lee, Imyeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1687-1707
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    • 2022
  • With the development of multiuser online meetings, more group-oriented technologies and applications for instance collaborative work are becoming increasingly important. Authenticated Group Key Agreement (AGKA) schemes provide a shared group key for users with after their identities are confirmed to guarantee the confidentiality and integrity of group communications. On the basis of the Public Key Cryptography (PKC) system used, AGKA can be classified as Public Key Infrastructure-based, Identity-based, and Certificateless. Because the latter type can solve the certificate management overhead and the key escrow problems of the first two types, Certificateless-AGKA (CL-AGKA) protocols have become a popular area of research. However, most CL-AGKA protocols are vulnerable to Public Key Replacement Attacks (PKRA) due to the lack of public key authentication. In the present work, we present a CL-AGKA scheme that can resist PKRA in order to solve impersonation attacks caused by those attacks. Beyond security, improving scheme efficiency is another direction for AGKA research. To reduce the communication and computation cost, we present a scheme with only one round of information interaction and construct a CL-AGKA scheme replacing the bilinear pairing with elliptic curve cryptography. Therefore, our scheme has good applicability to communication environments with limited bandwidth and computing capabilities.

The History and Future of String Quartet Performances: Examining the Possibility of Convergent Performances Employing Media and Artificial Intelligence (현악사중주 공연의 역사와 미래: 미디어와 인공지능을 활용한 융합 공연의 가능성에 대하여)

  • Eun-Ji Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.697-706
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    • 2023
  • This study examines the history of string quartet performances and analyzes contemporary integrated performances to propose a new performance paradigm for future audiences. It examines past developments and audience interactions, and how modern classical performance can gain a competitive edge internationally through tech integration. Building on this foundation, a future vision is proposed for Korean string quartet performances, drawing from novel performances that are interconnected with their historical context. The study concludes that modern string quartets necessitate innovative and original performance directions that can be achieved through various technological integrations.