• Title/Summary/Keyword: Policy Convergence

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Accuracy Analysis of Earthwork Volume Estimating for Photogrammetry, TLS, MMS (토공사 계측 방식(Photogrammetry, TLS, MMS)별 토공량 산정 정밀도 분석)

  • Park, Jae-Woo;Yeom, Dong-Jun;Kang, Tai-Kyung
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.4_2
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    • pp.453-465
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    • 2021
  • Recently, photogrammetry, TLS(Terrestrial Laser Scanner), MMS(Mobile Mapping System)-based techniques have been applied to estimate earthwork volume for construction management. The primary objective of this study is to analyze the accuracy of earthwork volume estimating between photogrammetry and TLS, MMS that improves the traditional surveying method in convenience, estimating accuracy. For this, the following research works are conducted sequentially; 1) literature review, 2) core algorithm analysis, 3) surveying data acquisition using photogrammetry, TLS, MMS, 4) estimated earthwork volume comparison according to surveying method. As a result of the experiment, it was analyzed that there were earthwork volume errors of 1,207.5m3 (14.03%) of UAV-based digital map, 391.5m3(4.55%) of UAV, TLS integrated digital map, and 294.9m3(3.43%) of UAV, MMS integrated digital map. It is expected that the result of this study will be enormous due to the availability of the analyzed data.

A Study on the Portfolio Performance Evaluation using Actor-Critic Reinforcement Learning Algorithms (액터-크리틱 모형기반 포트폴리오 연구)

  • Lee, Woo Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.3
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    • pp.467-476
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    • 2022
  • The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.

Design and Policy of Seat Belt for fire Engines (소방차량의 안전벨트 설계 및 정책제안)

  • Park, Kyong-Jin;Cho, Chul-Hee;Lee, Bong-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.6_3
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    • pp.1173-1182
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    • 2022
  • According to the National Fire Agency, there were 61 traffic accidents of Fire engines in 2021. That is an increase of about 80% compared to the previous year. And the number of injuries and deaths increased by more than 300%. According to the survey of this study, less than 25% of firefighters wore seat belts of Fire engines during dispatch, contrary to the rapid increase in injuries and deaths. About the reasons for why firefighters do not wear seat belts, It can be found in aspects that are related to personal consciousness, organizational culture, and firefighting dispatch. The number of dispatches will increase in the future, this is considered to be a serious problem for the stability of the firefighting organization. In this study, a seat belt should be designed newly and proposed to improve the seat belt wearing policy.

A Qualitative Research on the Improvement of Government Public Relations in the Low Fertility Society (저출산 정부홍보 개선방안을 위한 질적 연구)

  • Han, Sangpil
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.137-143
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    • 2022
  • The purpose of this study is to propose an effective PR plan for government policies in order to make the people aware of the importance of the fertility rate by seeking strategies to counter the low fertility rate. Focus group interviews were conducted with 6 experts with high expertise in government policy advertising and public relations among advertising and public relations academics and practitioners. It was found that low fertility PR strategy raised the problems of integrated public relations and budgeting. PR message strategy was lacked a creative approach suitable for the target, and the media strategy did not reflect the characteristics of the younger generation. Based on these research results, an improvement plan for government PR to counter the low fertility was proposed, and it is expected that it will be used for policy making in the future.

A Study on the Korea's Digital Policy to Strengthen National Competitiveness (한국의 국가경쟁력 강화를 위한 디지털 정책 방안에 대한 연구)

  • Kyung-Hye PARK
    • Journal of Digital Convergence
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    • v.21 no.3
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    • pp.41-48
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    • 2023
  • As the 4th Industrial Revolution accelerates, the future of the economy faces new uncertainties, particularly around digital transformation. This shift is crucial in today's ICT-centric world. Korea, a significant contributor to global Manufacturing Value Added (MVA), is poised to expand its share. This paper examines Korea's digital transformation and its global economic competitiveness. By referencing world-renowned analyses, it compares Korea's competitive stance. As industries and economies are on the verge of a technological upheaval, understanding and preparing for these changes is vital for maximizing benefits. This paper also delves into the opportunities and policy challenges presented by digitization in the 4th Industrial Revolution era.

Safety Risk Management Policy of United States small unmanned aerial system (미 소형 무인비행체계의 안전성 위험관리 정책)

  • Hong, Jin-Keun
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.35-42
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    • 2021
  • The purpose of this paper is to review the small unmanned aerial system (sUAS) safety policy promoted by the United States(US) government. Therefore, in this paper, along with sUAS risk factors, the risk factors of sUAS that the US government is interested in are described. In addition, the risk factors were classified into physical and non-physical factors, and provisions mentioned in the Federal Aviation Administration(FAA) Relicensing Act were reviewed. Other risk scenarios were analyzed focusing on target scenario items that the FAA is interested in, such as flight operation disruption, infrastructure damage, and facility trespassing. Of course, we looked at the risk management principles promoted by the US FAA. In this paper, as a research method, the direction and contents of the FAA's sUAS policy were studied and reviewed from the analysis of major foreign journals and policy. In the research result of this paper, by analyzing the FAA sUAS safety risk management policy, the integrated operation and safety policy, physical risk management policy, operation and safety regulation, and sUAS policy and technology direction necessary for establishing the sUAS safety risk management guide in Korea are presented. The contribution of this study is to identify the leading US sUAS safety policy direction, and it can be used as basic data for deriving future domestic policy directions from this. Based on the research results presented in the future, policy studies are needed to derive detailed implementation plans.

A weighted method for evaluating software quality (가중치를 적용한 소프트웨어 품질 평가 방법)

  • Jung, Hye Jung
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.249-255
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    • 2021
  • This study proposed a method for determining weights for the eight quality characteristics, such as functionality, reliability, usability, maintainability, portability, efficiency, security, and interoperability, which are suggested by international standards, focusing on software test reports. Currently, the test results for software quality evaluation apply the same weight to 8 quality characteristics to obtain the arithmetic average. Weights for 8 quality characteristics were applied using the results from text analysis, and weights were applied using the results of text analysis of test reports for two products. It was confirmed that the average of test reports according to the weighted quality characteristics was more efficient.

A Proposal of Alternative Financial Supporting Policy on IT-related Small & Medium sized Enterprises (IT분야 중소기업 금융지원방식에 대한 정책 제언)

  • Khoe, Kyung-Il
    • Journal of Digital Convergence
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    • v.11 no.11
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    • pp.279-287
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    • 2013
  • This paper proposes several alternative government financial supporting policy on IT-related small and medium sized enterprises. First, this paper considers reforming factors relating to current financial supporting policy and studies foreign government supporting loan programs through benchmarking so as to derive alternative financing supporting policy. Secondly, this paper analyses several investment supporting policies on IT-related small and medium sized enterprises. Finally, new Korean government financial supporting policy on IT-related small and medium sized enterprises is collectively diagnosed by putting comprehensive analyses together in this paper.

A Study on Analysis of the Differences for Perception of Big Data in Era of Convergence (융합시대 빅데이터 인식 차이 분석에 관한 연구)

  • Noh, Kyoo-Sung;Lee, Joo-Yeoun
    • Journal of Digital Convergence
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    • v.13 no.10
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    • pp.305-312
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    • 2015
  • In Korea, institutions and universities to educate and train Bigdata manpower are not yet much. There are various causes, but major cause among them is lack of understanding and perception on Bigdata. Therefore, this study investigated the situation regarding the recognition on Bigdata of universities' faculties and presented a direction for educating Bigdata manpower at the university. As a result, it was investigated that their awareness about the impact of Bigdata is not so great, despite of the somewhat understanding for the Bigdata. In particular, it was investigated that their intentions of research and education for Bigdata are not high. So, for a while, it was identified that Bigdata specialist training will not be easy. In conclusion, this study suggested that the government should pay its attention more on policy for Bigdata manpower training policy of the universities according to direction of the government 3.0 policy that considers the Bigdata to the axis of the major policy.

The Effect of Government's Support Policy and Experience on the Performance of SMEs (정부의 지원정책과 경험이 중소기업의 경영성과에 미치는 영향)

  • Seo, Dong-Pil;Kim, Beom-Seok
    • Journal of the Korea Convergence Society
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    • v.11 no.8
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    • pp.195-201
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    • 2020
  • As the globalization accelerates, many changes are taking place in the business environment. In particular, not only large companies, but also small and medium-sized enterprises are actively looking to overseas markets. Therefore, this study is to grasp the factors affecting the performance of export SMEs. The government's support policy and related experience are expected to have a significant impact on the performance of export SMEs. In this study, a questionnaire survey was conducted for the employees of SMEs and this was analyzed. The result of the analysis shows the government's export support policy had no significant effect. Experience (industry and overseas) was found to have a significant effect on corporate performance. The results of this study are expected to provide practical guidelines for SMEs preparing for export, and show that the role of government is not important at the policy level.