• Title/Summary/Keyword: Electric Industry

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A Study on the Industry Platform of Electric Vehicles (전기자동차의 산업플랫폼에 대한 연구)

  • Chung, Sunyang;Cho, Hyeongrye;Choi, Jinho
    • Journal of Korea Technology Innovation Society
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    • v.16 no.2
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    • pp.530-558
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    • 2013
  • New strategies in the automobile industry have been required with the advent of new green car era. This study examines how to develop the electric automobile industry among green cars effectively. It's necessary to change fragmentary relationship-based analysis focusing on stakeholders in the existing automobile industry into platform-based analysis. The purpose of this study aims to define an analytical framework for adopting a more developed industry platform. To this end, the following major issues are analyzed. First, what is the definition of industrial platform, why is it needed? Second, who participate in industry platform, what are the working factors of the platform? Third, who are participants in industry platform applicable to electric vehicle market and what are the working factors for electric vehicle industry platform? Fourth, this researcher derives analytic framework of electric vehicle industry platform based on related cases and discusses applicable measures for the framework.

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A Study of the Electric Vehicle Industry and Policy Implications (전기자동차 산업 현황 및 정책적 대응방향)

  • Chun, Hwang-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.471-473
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    • 2013
  • This paper is analyzing the situation of the electric vehicle Industry and draw the policy implications to promote electric vehicle industry. Major automobile makers as GM, BMW, Nissan, Audi produce various electric vehicles. But in recent times, only few electric vehicle sold in the world. So, many automobile makers gave up the production of electric vehicles. and the fuel-cell vehicle will replace the electric vehicle as a environment car in the future. We should take the build up of eco system between vehicle makers and the small parts companies, construction of battery charging infrastructure, promotion of standardization activities, and the government's support to revive the electric vehicle industry.

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A SD approach to the Efficiency Improvement of Electric Power Industry in Korea -Focused on the Nuclear Industry (국내 전력산업의 효율성 제고모형에 대한 SD 모형 연구 - 원자력산업을 중심으로)

  • Heo, Hoon;Lee, Myung-Ho
    • Korean System Dynamics Review
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    • v.4 no.2
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    • pp.153-171
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    • 2003
  • In this study, we tried to build a model which can deal with the efficient and effective operation of electric power industry, especially focused on the nuclear industry. Here, SD(system Dynamics) approach is used to visualize the underlying phenomenon of the nuclear power industry. SD is a methodology for studying and managing complex feedback systems, such as one finds in business and other social systems, The span of SD applications has grown extensively and now encompasses work in corporate planning and policy design, public management and policy, biological and medical modeling, energy and the environment. Recently, according to the report from KEPCO(Korea Electric Power Corporation), they are considering delaying a new power plant construction. It may be based upon business fluctuation downsized from Korean economic crisis in 1997 and freezing of construction funds due to unstable foreign exchange rate. At this point, we need desperately a kind of strategic model that would contribute to cope with the current business situation, energy generation, Production, and resulting Pollution. Specifically, this model, using SD approach, starts with the detailed drawing of influence diagram, which describes those relevant key points on nuclear power generation systems in electric power industry of Korea. These include such (actors as the operation of nuclear industry and parameters related to the decision making for business policy. Based upon the above-mentioned influence diagram drawn, we developed SD simulation model to evaluate and analyze strategic management of KBPCO. Based on our analysis, we could demonstrate how simulation model can be applied to the real electric power generation in Korea.

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A SD approach to the Efficiency Improvement of Electric Power Industry in Korea: Focused on the Nuclear Industry (시스템 다이내믹스(SD)에 의한 국내 전력산업의 효율성 제고에 관한 연구: 원자력산업을 중심으로)

  • Lee, Myoung-Ho;Lee, Hee-Sang;Jang, In-Sung;Choi, Bong-Sik;Huh, Hoon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.26 no.2
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    • pp.99-109
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    • 2001
  • In this study, we tried to build a model which can deal with the efficient and effective operation of electric power industry, especially focused on the nuclear industry. Here, SD (System Dynamics) approach is used to visualize the underlying phenomenon of the nuclear power industry. SD is a methodology for studying and managing complex feedback systems, such as one finds in business and other social systems. The spend of SD applications has grown extensively and now encompasses work in corporate planning and policy design, public management and policy, biological and medical modeling, energy and the environment. Recently, according to the report from KEPCO (Korea Electric Power Corporation), they are considering delaying a new power plant construction. It may be based upon business fluctuation downsized from Korean economic crisis in 1997 and freezing of construction funds due to unstable foreign exchange rate. At this point, we need disparately a kind of strategic model that would contribute to cope with the current business situation, energy generation, production, and resulting pollution. Specifically, this model, using SD approach, starts with the detailed drawing of influence diagram, which describes those relevant key points on nuclear power generation systems in electric power industry of Korea. These include such factors as the operation of nuclear industry and parameters related to the decision making for business policy. Based upon the above-mentioned influence diagram drawn, we developed SD simulation model to evaluate and analyze strategic management of KEPCO. Based on our analysis, we could demonstrate how simulation model can be applied to the real electric power generation in Korea.

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Analysis of Effect of Designated New Technology of Electric Power on the Electrical Construction Industries (전력신기술 제도가 전기공사업계에 미치는 영향 분석)

  • Hwang, Min-Soo;Jeon, Tae-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.2
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    • pp.106-113
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    • 2012
  • Recently laws have been enacted to build and promote the use of smart grid. There are also increasing demands for the compliance with international trade agreements and the related international standards. Due to these rapid changes in electric power industry and the market expansion, importances of new technologies and processes have been being increased. To reflect these international trends, the government have carried out the designation of new technology for electric power industry to promote domestic industries and national competitiveness by inspiring technology developments in individual or private industry sectors. In this paper analysis of the current status of the designation of the new technology of electric power has been presented including its problem and effect on the related industries. The analysis is expected to be utilized to enhance sound development and to vitalize the electrical new technology regulation.

Extended kernel correlation filter for abrupt motion tracking

  • Zhang, Huanlong;Zhang, Jianwei;Wu, Qinge;Qian, Xiaoliang;Zhou, Tong;FU, Hengcheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4438-4460
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    • 2017
  • The Kernelized Correlation Filters (KCF) tracker has caused the extensive concern in recent years because of the high efficiency. Numerous improvements have been made successively. However, due to the abrupt motion between the consecutive image frames, these methods cannot track object well. To cope with the problem, we propose an extended KCF tracker based on swarm intelligence method. Unlike existing KCF-based trackers, we firstly introduce a swarm-based sampling method to KCF tracker and design a unified framework to track smooth or abrupt motion simultaneously. Secondly, we propose a global motion estimation method, where the exploration factor is constructed to search the whole state space so as to adapt abrupt motion. Finally, we give an adaptive threshold in light of confidence map, which ensures the accuracy of the motion estimation strategy. Extensive experimental results in both quantitative and qualitative measures demonstrate the effectiveness of our proposed method in tracking abrupt motion.

A Study on Security Vulnerability Management in Electric Power Industry IoT (전력 산업 IoT에서의 보안 취약점 관리에 관한 연구)

  • Lee, Sang-Gi;Lee, Sei-Yoon;Kim, Jeong-Chul
    • Journal of Digital Contents Society
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    • v.17 no.6
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    • pp.499-507
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    • 2016
  • The era of IoT, which figures exchanging data from the internet between things is coming. Recently, former electric power energy policy paradigm, namely Supply side paradigm, is changing, because electric power energy consumption is rapidly increasing. As new paradigm for this limit, convergence of existing electric power grid and ICT(Information and Communication Technology) will accelerate intellectualization of electric power device, its operation system. This change brought opened electric power grid. Consequently, attacks to the national electric power grid are increasing. On this paper, we will analyze security threats of existing IoT, discuss security weakness on electric power industry IoT and suggest needed security requirements, security technology.

The Effect of Economic and Infrastructure Factors on the Formation of Electric Vehicle Supply Chain and Optimal Location Selection: Korea-US FDI

  • Young-Kyou Ha
    • Journal of Korea Trade
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    • v.27 no.5
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    • pp.23-40
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    • 2023
  • Purpose - This study aims to present the changes and directions in the automotive supply chain in the face of changes in the global supply chain caused by external factors and the integration of industries resulting from internal factors. Assuming FDI in the Korean automotive industry in the US, this study analyzed the influential factors over the long term and derived the optimal location. Design/methodology - For this analysis, the characteristics and current status of the automotive industry are presented. Additionally, the study emphasizes the necessity and direction of change. The factors influencing Korea-US FDI in the automotive industry and the electric vehicle industry were analyzed through panel analysis. The optimal location from the perspective of distribution costs was selected using linear programming under the assumption that local demand will be replaced by local production in the future. Findings - This study found that the electric vehicle supply chain will change with the characteristics of the electric and electronic industries rather than with the traditional automotive industry. Additionally, in deriving the optimal location, the study emphasized the proximity to the consumption market. Originality/value - The analysis method and conclusions of this study not only present the influential factors and direction of FDI in the automotive industry but also can be applied to other industries. Moreover, the study provides practical and policy implications for industries and governments considering FDI in the US.

Export Market Attractiveness Analyses of the Heavy Electric Equipment Industry (중전기기산업 수출시장 매력도 분석)

  • Moon, Chang-Kuen
    • International Commerce and Information Review
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    • v.10 no.4
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    • pp.277-298
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    • 2008
  • This study develops the market attractiveness assessment model and draws the strategic target markets and their corresponding exporting strategies through identifying the market positions in the dimensions of market attractiveness scores and market positional strength to achieve the innovative export promotion of Korean heavy electric industry and the resulting improvement and reversal of comparative-disadvantage position. In chapter 2, we analyze the stages of selecting target markets, the constructs and their measure variables of market attractiveness models, and the components and strategic policy implications of directional policy matrix. And in chapter 3, we identify the comparative advantage positions of Korean heavy electric industry in the global market through analyzing its trade structure, trends, balance, ratio-balance, and specialization index by the item and the region respectively. We find that the Asia/Pacific region is the most attractive export market of the Korean heavy electric equipment industry, the following important strategic target markets are the America, MENA, CIS/East Europe Regions in the order of their attractiveness and competitive position dimensions. In the mean time, the sub-Sahara Africa and West Europe region is shown to be the long-run-viewpoint target market requiring the innovation or divest strategies owing to their low attractiveness and the low market share of Korean exports.

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Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data (논문 및 특허 데이터를 활용한 전기자동차 기술 동향 예측 연구)

  • Gu, Ja-Wook;Lee, Jong-Ho;Chung, Myoung-Sug;Lee, Joo-yeoun
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.165-172
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    • 2017
  • In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.