• Title/Summary/Keyword: 활용성 강화

Search Result 2,377, Processing Time 0.027 seconds

A Study on the Training Plans of SMEs' Origin Management Specialist for the Improvement of FTA Utilization in the Digital Convergence Era (디지털융복합시대, FTA활용도 향상을 위한 중소기업의 원산지전문인력 양성방안)

  • Han, Sang-Ok
    • Journal of Digital Convergence
    • /
    • v.14 no.12
    • /
    • pp.55-63
    • /
    • 2016
  • Recently, FTA may go beyond the agreement of the two countries, and also FTA is tinged aspects of Mega FTA between the economic sphere, under the situation that FTA and the business model are mutually intertwined in convergence industrial environments. Since South Korea came into force in 52 countries and 15 cases of FTA, South Korea have completed FTA network with the United States, as well as ASEAN and most of OECD member countries, and South Korea is now a critical time to take advantage of the FTA to determine the South Korea's economic performance. This paper examined the previous studies of FTA utilization and analyzed practical usages and problems of SMEs' FTA utilization. Through analysis, this paper suggests that the Training Plans of SMEs' Origin Management Specialist for the Improvement of FTA Utilization is as follows: to build up the effective management system of origin supports, to enrich the origin management competency, to reinforce the operation of supporting system, and to strengthen practical capacity of Origin administrative staff. Based on the results, it is expected to provide the policy implications for the FTA utilization in the future.

An Improvement of Coherence and Validity between CLD and SFD of System Dynamics (시스템 다이내믹스의 CLD와 SFD의 일관성 및 타당성 개선에 관한 연구)

  • Jung, Jae Un;Kim, Hyun Soo
    • Journal of Digital Convergence
    • /
    • v.12 no.6
    • /
    • pp.69-77
    • /
    • 2014
  • System Dynamics(SD) is one of the complexity theories that has attracted attention as a computer-aided simulation methodology to analyze a dynamic problem and to develop a policy(strategy) in social science. Though there are properly unproven cases in research models which were developed in various fields by SD methodology during the last five decades, they are utilized as models to represent SD sub-theories. For this reason, this study targeted the population dynamics model which was frequently utilized to explain SD fundamentals and it proved errors of reasoning a structure of the existing causal and dominant feedback loop. Consequently, we presented a strategy to strengthen the coherence between CLD(causal loop diagram) and SFD(stocks-and-flows diagram) for improving validity of the existing model. The findings of this study contribute to the advancement of the existing SD and to the reinforcement of validation for policy research models of SD.

Proposals for GCI Indicators to Improve a National Cybersecurity Level (국가 사이버보안 수준 향상을 위한 GCI의 지표개선 방안)

  • Kim, Dae kyung;Lee, Ju hyeon;Kim, Ye young;Hyeon, Da eun;Oh, Heung-Ryong;Chin, Byoung moon;Youm, Heung Youl
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.32 no.2
    • /
    • pp.289-307
    • /
    • 2022
  • The Global Cybersecurity Index (GCI) developed by the International Telecommunication Union (ITU) is used to diagnose a country's cybersecurity development level and to strengthen its cybersecurity capabilities. This paper analyzes GCI and tries to suggest a way to strengthen its effectiveness. In addition, we analyze the GCI version 1~GCI version 4 evaluation index in advance, and examine the development plan through SWOT analysis. Through this, basic principles for GCI improvement and utilization will be established, and new indicators related to the GCI version 5 questionnaire will be discovered and suggested. This paper is expected to be used as basic data for GCI performance analysis and improvement plan. In addition, it is intended to contribute to enhance the effectiveness of GCI and the nation's cybersecurity capabilities by proposing more advanced proactive and reactive indicators to be applied to the future GCI evaluations. This paper is an improvement and development for the research result of [1].

Enhancement of Enterprise Security System Using Zero Trust Security (제로 트러스트 보안을 활용한 기업보안시스템 강화 방안)

  • Lee, Seon-a;Kim, Beom Seok;Lee, Hye in;Park, Won hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2021.10a
    • /
    • pp.214-216
    • /
    • 2021
  • It proposes a plan to strengthen the limitations of existing corporate security systems based on Zero-Trust. With the advent of the era of the Fourth Industrial Revolution, the paradigm of security is also changing. As remote work becomes more active due to cloud computing and COVID-19, security issues arising from the changed IT environment are raised. At the same time, in the current situation where attack techniques are becoming intelligent and advanced, companies should further strengthen their current security systems by utilizing zero trust security. Zero-trust security increases security by monitoring all data communications based on the concept of doubting and trusting everything, and allowing strict authentication and minimal access to access requestors. Therefore, this paper introduces a zero trust security solution that strengthens the existing security system and presents the direction and validity that companies should introduce.

  • PDF

Interfacial Characterization of Mineralized Carbon Nanotubes (광물화된 탄소나노튜브 첨가재의 계면 특성화)

  • Park, Chanwook;Jung, Jiwon;Yun, Gunjin
    • Composites Research
    • /
    • v.31 no.5
    • /
    • pp.282-287
    • /
    • 2018
  • In this paper, we explore interfacial properties of the mineralized CNTs when they are employed as reinforcing fillers in a polymer nanocomposite using molecular dynamics (MD) simulations. Recently, several studies on mineralizing carbon nanotubes (CNTs) with an aid of nitrogen doping to CNTs have been reported. However, there is a lack of studies on the reinforcing effects of the mineralized CNTs when it is employed as a filler of nanocomposites. Silica ($SiO_2$) is used as a mineral material and poly (methyl metacrylate) (PMMA) is used as a polymer matrix. Pull-out simulations are conducted to obtain the interfacial energy and the interfacial shear stress. It was found that the silica mineralized CNTs have higher interfacial interaction with the polymer matrix. In the future, by examining various thermomechanical properties of the mineralized-CNT-filler/polymer nanocomposites, we will search for potential applications of the novel reinforcing filler.

Effect of Fiber Orientation on the Mechanical Properties of Long Fiber Reinforced Composites (장섬유강화 복합재료의 섬유 배향특성이 기계적 특성에 미치는 영향)

  • Huh, Mongyoung;Lee, Haksung
    • Composites Research
    • /
    • v.32 no.6
    • /
    • pp.403-407
    • /
    • 2019
  • Long-fiber-reinforced composites have the advantages of cost-competitiveness and high degree of freedom of molding compared to continuous-fiber-reinforced composites. On the other hand, it is difficult to ensure uniform characteristics due to the randomly distributed fiber orientation incurred from the process of manufacturing intermediate materials. In this study, the effect of the directionality of LFPS (Long Fiber Prepreg Sheet) materials on the mechanical properties was analyzed. The eddy current measurement method was used to analyze fiber orientations, and tensile and compression tests on LFPS materials were performed according to ASTM standards. In addition, the test results and theoretical values of LFPS materials were verified using the ROM (rule-of-mixtures) theory. These results confirmed the effect of fiber orientation on mechanical properties of discontinuous-fiber-reinforced composites.

Modeling and Simulation on One-vs-One Air Combat with Deep Reinforcement Learning (깊은강화학습 기반 1-vs-1 공중전 모델링 및 시뮬레이션)

  • Moon, Il-Chul;Jung, Minjae;Kim, Dongjun
    • Journal of the Korea Society for Simulation
    • /
    • v.29 no.1
    • /
    • pp.39-46
    • /
    • 2020
  • The utilization of artificial intelligence (AI) in the engagement has been a key research topic in the defense field during the last decade. To pursue this utilization, it is imperative to acquire a realistic simulation to train an AI engagement agent with a synthetic, but realistic field. This paper is a case study of training an AI agent to operate with a hardware realism in the air-warfare dog-fighting. Particularly, this paper models the pursuit of an opponent in the dog-fighting setting with a gun-only engagement. In this context, the AI agent requires to make a decision on the pursuit style and intensity. We developed a realistic hardware simulator and trained the agent with a reinforcement learning. Our training shows a success resulting in a lead pursuit with a decreased engagement time and a high reward.

An Analysis on ICT Lietracy Level of Elementary School Student according to Pricipal's Awareness of Educational Information Technology (학교장의 교육정보화 인식이 학생들의 ICT 리터러시 수준에 미치는 영향 분석)

  • Kim, Sung Sik;Ahn, Seonghun
    • The Journal of the Korea Contents Association
    • /
    • v.16 no.2
    • /
    • pp.268-276
    • /
    • 2016
  • In this paper, we analyzed the link between school's educational information technology level and ict literacy level of students in elementary school. Specially we concerned about the link between principal's awareness of ict and ict literacy level of students. This ICT literacy levels were measured by sampling 1%(12,759 students) of the entire school year for elementary school 4-6. The educational information technology level of sample student's school was extracted from the Ministry of Education data. Then the two materials was analyzed in conjunction with each other. As a result, Higher recognize of principal, higher ict literacy level of students. That is sure in human realm. But that is difficult to conclude in ict infra and ict using realms. According to this result, it is more important to develop ability and awareness of teacher for ict than to support building of ict infra and using of ict. Therefore, we need to make a plan to develop ability and awareness of teacher for ict with building of ict infra.

The effects of General Education Content using Documentary Film on Perception and Attitudes towards National Health Insurance System (기록영화 식코를 활용한 수업콘텐츠가 국민건강보험제도에 대한 인식과 태도에 미치는 효과)

  • Heo, Jaeheon
    • The Journal of the Korea Contents Association
    • /
    • v.15 no.10
    • /
    • pp.374-386
    • /
    • 2015
  • This study attempts to examine the impact of a documentary film, on the perception and satisfaction with the public health insurance system in South Korea. It is needed that public support to expand health insurance coverage and to intensify national health insurance. The documentary film investigates health care in the United States, comparing with the non-profit universal health care systems of Canada, the United Kingdom, France and Cuba. So an online education content for the general education was developed using this film and the surveys were carried out to gather information about perception, satisfaction and opinion on national health insurance system before the lesson and after. And pared t tests were conducted to analyze the effects of this education content using the film on perception and attitudes towards national health insurance system. Based on the empirical results, the way to develop education contents for improving the understanding public health system and to verify the effect of education contents were discussed.

Differentially Responsible Adaptive Critic Learning ( DRACL ) for the Self-Learning Control of Multiple-Input System (多入力 시스템의 자율학습제어를 위한 차등책임 적응비평학습)

  • Kim, Hyong-Suk
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.36S no.2
    • /
    • pp.28-37
    • /
    • 1999
  • Differentially Responsible Adaptive Critic Learning technique is proposed for learning the control technique with multiple control inputs as in robot system using reinforcement learning. The reinforcement learning is a self-learning technique which learns the control skill based on the critic information Learning is a after a long series of control actions. The Adaptive Critic Learning (ACL) is the representative reinforcement learning structure. The ACL maximizes the learning performance using the two learning modules called the action and the critic modules which exploit the external critic value obtained seldomly. Drawback of the ACL is the fact that application of the ACL is limited to the single input system. In the proposed Differentially Responsible Action Dependant Adaptive Critic learning structure, the critic function is constructed as a function of control input elements. The responsibility of the individual control action element is computed based on the partial derivative of the critic function in terms of each control action element. The proposed learning structure has been constructed with the CMAC neural networks and some simulations have been done upon the two dimensional Cart-Role system and robot squatting problem. The simulation results are included.

  • PDF