• 제목/요약/키워드: 2020 strategy

검색결과 1,304건 처리시간 0.025초

피쉬본분석을 통한 사회문제 해결형 콘텐츠 융합 교육 연구모델 도출 (A Study Model of Content Convergence Education for Social Problem Solving through the Analysis of Fishbone)

  • 이중만;박성원
    • Journal of Information Technology Applications and Management
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    • 제27권4호
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    • pp.49-62
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    • 2020
  • In this study, the research model of VR·AR contents convergence education for solving social problems was presented after benchmarking the domestic and foreign realistic educational contents industry and policy trends and Fishbone diagram analysis. The goal was to create VR·AR content convergence talent for co-prosperity in the era of the fourth industrial revolution, and the target of education was students, researchers, and business personnel who are interested in VR AR technology education and contents business such as game animation, etc. The education model is based on understanding about storytelling of the socially disadvantaged, such as children and the elderly, and is technology education for content production including the application of virtual and augmented reality SW, and is a convergence education for content planning and business model strategy development.

ETRI AI 실행전략 3: 네트워크 및 미디어·콘텐츠 미래기술 선도 (ETRI AI Strategy #3: Leading Future Technologies of Network, Media, and Content)

  • 김성민;연승준
    • 전자통신동향분석
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    • 제35권7호
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    • pp.23-35
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    • 2020
  • In this paper, we introduce ETRI AI Strategy #3, "Leading Future Technologies of Network, Media, and Content." Its first goal is "to innovate AI service technology to overcome the current limitations of AI technologies." Artificial intelligence (AI) services, such as self-driving cars and robots, are combinations of computing, network, AI algorithms, and other technologies. To develop AI services, we need to develop different types of network, media coding, and content creation technologies. Moreover, AI technologies are adopted in ICT technologies. Self-planning and self-managing networks and automatic content creation technologies using AI are being developed. This paper introduces the two directions of ETRI's ICT technology development plan for AI: ICT for AI and ICT by AI. The area of ICT for AI has only recently begun to develop. ETRI, the ICT leader, hopes to have opportunities for leadership in the second wave of AI services.

태양광-배터리-수퍼캡을 갖는 직류 홈 그리드의 설계 및 운영 (Design and Operation of DC Home Grid with PV-Battery-Ultracapacitor)

  • 헤리얀토 누르;이동춘
    • 전력전자학회논문지
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    • 제25권2호
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    • pp.103-110
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    • 2020
  • In this study, the design and operating strategy of DC home grid with PV, battery, and ultracapacitor have been discussed, The proposed sizing method can find the optimum size of the battery and PV which can reduce yearly utility energy consumption, whereas the control scheme can maintain the DC-bus voltage level of the DC home grid under different operating conditions, where day or night time operation, load and PV power levels, and the maximum current and state-of-charge of batter are considered. In addition, a supervisory power management strategy has been suggested, and its validity has been verified by HILS (hardware in-the-loop simulation) results.

A Comparative Analysis of Port Development Strategies in Hong Kong and Busan

  • Kim, Myoung-Hee;Hwang, Doo-Gun
    • 한국항해항만학회지
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    • 제32권2호
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    • pp.149-158
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    • 2008
  • This paper discusses the strategies for the future qf the Hong Kong Port and Buasn Port. We assess whether they prepare the ports for the position of being the logistics hub, and as such could assist the ports to maintain their position in the world's container port. We reviewed both the current situation qf the Hong Kong Port and the strategy of the port for the future (Master Plan 2020) to keep the status of logistics hub. With the case study on the Port of Hong Kong, this study attempts to examine what the strategic planning is needed for the Busan Port. We debate the Port of Busan could be seen as a logistics chain for the future. In our discussion, the strategic planning on "Port Vision 2020" for Port of Busan does not address the issues regarding this part, nor does it make any recommendations in terms of the requirement of the logistics private sector.

GRADIENT EXPLOSION FREE ALGORITHM FOR TRAINING RECURRENT NEURAL NETWORKS

  • HONG, SEOYOUNG;JEON, HYERIN;LEE, BYUNGJOON;MIN, CHOHONG
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제24권4호
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    • pp.331-350
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    • 2020
  • Exploding gradient is a widely known problem in training recurrent neural networks. The explosion problem has often been coped with cutting off the gradient norm by some fixed value. However, this strategy, commonly referred to norm clipping, is an ad hoc approach to attenuate the explosion. In this research, we opt to view the problem from a different perspective, the discrete-time optimal control with infinite horizon for a better understanding of the problem. Through this perspective, we fathom the region at which gradient explosion occurs. Based on the analysis, we introduce a gradient-explosion-free algorithm that keeps the training process away from the region. Numerical tests show that this algorithm is at least three times faster than the clipping strategy.

플래시 변환 계층을 위한 DPW-LRU 캐시 교체 알고리즘 분석 및 개선 (Analysis and Improvement of the DPW-LRU Cache Replacement Algorithm for Flash Translation Layer)

  • 이형봉;정태윤
    • 대한임베디드공학회논문지
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    • 제15권6호
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    • pp.289-297
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    • 2020
  • Although flash disks are being used widely instead of hard disks, it is difficult to optimize for effective utilization of flash disks because overwrite in place is impossible and the power consumption and time required for read, write, and erase operations are all different. One of these optimization issues is a cache management strategy to minimize write operations. The cache operates at two levels: an operating system equipped with flash disks and a translation layer within the flash disk. Most studies deal with the operating system-level cache strategy. In this study, we implement and analyse the DPW-LRU algorithm which is one of the recently proposed operating system cache replacement algorithms to apply to FTL, and grope with some improvements. As a result of the experiment, the DPW-LRU algorithm maintained superiority even in the FTL environment, and showed better performance with a slight improvement.

Incremental Antenna Selection Based on Lattice-Reduction for Spatial Multiplexing MIMO Systems

  • Kim, Sangchoon
    • 한국정보기술학회 영문논문지
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    • 제10권1호
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    • pp.1-14
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    • 2020
  • Antenna selection is a method to enhance the performance of spatial multiplexing multiple-input multiple-output (MIMO) systems, which can achieve the diversity order of the full MIMO systems. Although various selection criteria have been studied in the literature, they should be adjusted to the detection operation implemented at the receiver. In this paper, antenna selection methods that optimize the post-processing signal-to-noise ratio (SNR) and eigenvalue are considered for the lattice reduction (LR)-based receiver. To develop a complexity-efficient antenna selection algorithm, the incremental selection strategy is adopted. Moreover, for improvement of performance, an additional iterative selection method is presented in combination with an incremental strategy.

FTA 역외가공방식을 활용한 동남아시아 지역의 글로벌 공급망 확대에 관한 연구 (A Study on the Expansion of the Global Supply Chain in Southeast Asia Using the FTA Outward Processing)

  • 김진규
    • 무역학회지
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    • 제45권5호
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    • pp.223-238
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    • 2020
  • In the environment of protectionism and bilateral trade agreements, Korea has promoted the conclusion of FTAs for its export-oriented trading policy, and 16 FTAs have entered into force at present. The main goal of this paper is to introduce the ISI system and its benefits and to extend the preferential rule of origin regime by using the Integrated Sourcing Initiative in the U.S. Code of Federal Regulations. The ISI illustrates with impressive clarity the fact that it considered as a tool of expanding the geographic limit of states and maximizing the global sourcing strategy of multinational corporations, allowing the developing countries to gain access to the market of developed ones that avoid the complexity and costs of many rules of origin regimes. This paper utilizes the literature research and analyzes a case study of FTAs which have adopted the ISI system. In conclusion, it presents several implications of additional measures to satisfy rules of origin in Korea's existing FTAs relating to the global supply chain strategy.

A Study of the Efficiency of Futures Research Institutes of China

  • WU, Guo-Hua;YAO, Tian-Yin;ZHANG, Bao-Ping
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.555-564
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    • 2020
  • The purpose of this study is to analyze the efficiency of research institutes of futures companies, and to promote the development of futures market and real economy. This study employs DEA-solver software to conduct super-efficiency data envelopment analysis (SE-DEA), and also selects 40 representative futures research institutes in China as decision-making units (DMUs). For data of input and output indicators, we collect from the China Futures Association, Futures Daily, Hexun.com and Webstock.com respectively, and the time duration is the 103 trading days between from October 2019 to February 2020. Then the indicator for the strategy accuracy rate is calculated separately by analyzing the strategies published by each DMUs in public media. In conclusions, most institutes have excessive investment in human resources, and also have insufficient strategy accuracy rate and insufficient published research reports. The findings of this study suggest that Chinese futures companies need to improve the efficiency of research institutes, and better meet the demand of the financial market. In fact, the analysis of the efficiency of the futures company research institute has not been found in the literature worldwide, Application of DEA model in efficiency analysis of securities and futures research institutions and establishment of indicators are the innovations of this paper.

Foreign Investors' Abnormal Trading Behavior in the Time of COVID-19

  • KHANTHAVIT, Anya
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.63-74
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    • 2020
  • This study investigates the behavior of foreign investors in the Stock Exchange of Thailand (SET) in the time of coronavirus disease 2019 (COVID-19) as to whether trading is abnormal, what strategy is followed, whether herd behavior is present, and whether the actions destabilize the market. Foreign investors' trading behavior is measured by net buying volume divided by market capitalization, whereas the stock market behavior is measured by logged return on the SET index portfolio. The data are daily from Tuesday, August 28, 2018, to Monday, May 18, 2020. The study extends the conditional-regression model in an event-study framework and extracts the unobserved abnormal trading behavior using the Kalman filtering technique. It then applies vector autoregressions and impulse responses to test for the investors' chosen strategy, herd behavior, and market destabilization. The results show that foreign investors' abnormal trading volume is negative and significant. An analysis of the abnormal trading volume with stock returns reveals that foreign investors are not positive-feedback investors, but rather, they self-herd. Although foreign investors' abnormal trading does not destabilize the market, it induces stock-return volatility of a similar size to normal trade. The methodology is new; the findings are useful for researchers, local authorities, and investors.