• Title/Summary/Keyword: 변수 프레임워크

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A Study on Consumers' Continuance Intention in Live Streaming E-commerce Shopping

  • Yongfeng Hu;Chi Gong
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.277-289
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    • 2023
  • The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.

A Decentralized Frame Synchronization System for Ad-hoc Inter-Vehicle Communication Networks (Ad-hoc 차량통신 네트워크를 위한 자율분산 동기화 시스템)

  • Kim, Young-An;Hong, Choong-Seon
    • Journal of KIISE:Information Networking
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    • v.35 no.2
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    • pp.166-172
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    • 2008
  • This paper proposes an autonomous decentralized frame synchronization system for Ad-hoc Inter-Vehicle Communication Network (IVCN). We have to consider the feature of Ad-hoc IVCN: "time variant" about the number and the location of vehicles and receive power in IVCN, frame timing, and fading. Proposed scheme is different from other decentralized synchronization systems that have association with a fixed base station, and from centralized Personal Communication Systems. This system includes an autonomous decentralized frame synchronization scheme for Ad-hoc IVCN, a high-speed algorithm, a protocol for a newly joining subscriber in IVCN, and a utilization of spread spectrum ranging for frame timing error of the system under highway conditions. Performance evaluation of proposed scheme is validated through simulation. It is shown that Ad-hoc IVCN can be carried out among one and surrounding vehicles in such environment.

구조해석을 위한 응용 웹서비스 프레임워크 개발에 관한 연구

  • 정일용;박수진;이규봉
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.05a
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    • pp.231-231
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    • 2004
  • 공학해석기반의 설계/제조 시스템에서의 설계는 설계평가와 설계 trade-offs로 구성되어 진다. 설계평가는 설계의 유용성을 평가하거나 CAD모델을 공학해석 모델로 변환하여 구조해석을 통하여 평가하기 위해 사용되며 이러한 평가결과를 근거로 성능치를 정의하고 CAD모델에서의 치수가 trade-offs 해석을 위한 설계변수로 정의되어 진다. 설길 trade-offs는 개선된 설계를 얻기 위한 목적으로 수행되는 데 설계변경은 CAD와 공학해석 모델로 피드백하게 된다.(중략)

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A Development on Conceptual Design Tool of Fuel Supply and Cooling System for High-speed Vehicles using Fluid-thermal System Design Framework (프레임워크를 이용한 연료공급 및 냉각계통 예비설계 프로그램 개발)

  • Choi, Seyoung;Park, Sooyong;Hyun, Seokho;Choi, Won;Park, Jeongbae
    • Journal of Aerospace System Engineering
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    • v.12 no.4
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    • pp.90-97
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    • 2018
  • In this study, we propose a conceptual design tool to develop fuel supply and engine cooling systems for high-speed vehicles. The preliminary designing of the systems and their validation were performed using this tool. Improvement in the design tool program was made using the fluid-thermal system design framework, which was applied to ensure efficient data processing using combined modules. The model geometry and thermal environment values were entered into the program. The thermodynamic properties of the system components were computed using the design tool, and simulation was performed to check the satisfaction rate of the requirements. It is hypothesized that our proposed design tool would be suitable for designing components for use in fuel supply and engine cooling systems of high-speed vehicles.

Building Test Codes for Unit Test Automation of Java Programs (단위 테스트 자동화를 위한 자바 프로그램 테스트 코드 구축)

  • Yoon, Hoijin
    • Journal of Software Engineering Society
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    • v.23 no.4
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    • pp.141-149
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    • 2010
  • Agile development is mentioned a lot by developers these days. XP or Scrum is one of the popular development processes, and it says that unit test automation would drive an agile development successful. The success of unit test automation depends on how well to compare an execution result to its own expected result. that is why this paper focuses on the comparison part. This paper introduces how to build test codes for unit testing, and then concludes with mentioning two considerations of unit testing automation. First, test codes for void-typed methods need Mock Framework to monitor their behavior. Second, the comparison of execution results and expected results is hard to implement in case of testing void-typed methods. We check every sentences of a test path to decide if the testing is fail or pass.

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A Framework for Success of Industrial Clusters: The Fusion of Online and Offline Businesses (온라인과 오프라인이 융합된 성공적 산업클러스터의 프레임워크)

  • Yi Jung-Sub;Jang Hyeong-Wook
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.3
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    • pp.96-107
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    • 2006
  • This paper explores the benefits provided by the adoption and implementation of electronic commerce in a particular SME-intensive productive environment: the geographical cluster. This study develops a conceptual framework that highlights the six types of benefits obtained by integrating online business with offline business. Using data from 73 traditional companies in Korean port clusters, factor analysis was used to figure out six benefits including sharing information, cost savings, value-added service, customer relationship, enhanced trust, and marketing efficiency. The six empirically derived critical benefit factors were then used to examine how they improve management performance of the traditional offline companies in the cluster measured by Balanced Scorecard(BSC). According to the results, we concluded that the offline firms in the cluster can take advantages of extending to online business.

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Motion Generation of a Single Rigid Body Character Using Deep Reinforcement Learning (심층 강화 학습을 활용한 단일 강체 캐릭터의 모션 생성)

  • Ahn, Jewon;Gu, Taehong;Kwon, Taesoo
    • Journal of the Korea Computer Graphics Society
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    • v.27 no.3
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    • pp.13-23
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    • 2021
  • In this paper, we proposed a framework that generates the trajectory of a single rigid body based on its COM configuration and contact pose. Because we use a smaller input dimension than when we use a full body state, we can improve the learning time for reinforcement learning. Even with a 68% reduction in learning time (approximately two hours), the character trained by our network is more robust to external perturbations tolerating an external force of 1500 N which is about 7.5 times larger than the maximum magnitude from a previous approach. For this framework, we use centroidal dynamics to calculate the next configuration of the COM, and use reinforcement learning for obtaining a policy that gives us parameters for controlling the contact positions and forces.

Solute Transport Analysis in a Natural River using Convolutional Storage Model (합성곱 저장대모형을 이용한 하천에서의 용존물질 거동 해석)

  • Kim, Byunguk;Seo, Il Won;Gwon, Si-Yun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.200-200
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    • 2021
  • 하천은 용수공급, 관개, 친수활동, 산업활동 등 인간의 활동에 중요한 역할을 한다. 이에 따라 수질관리는 필수적이며 유기물, 중금속, 화학물질 등의 용존물질들은 수질문제에 직접적으로 영향을 미친다. 따라서 하천에서의 용존물질의 혼합 거동을 파악하기 위한 연구가 지난 수십년간 이루어지고 있다. 하천 흐름에 따른 오염물질의 이동 및 확산 거동을 예측하기 위하여 1차원 추적모형이 활용되는데, 그 중 하천저장대 모형(Transient Storage Model, TSM)은 자연하천의 복잡하고 불규칙한 수리·지형적인 특성을 단순하게 반영할 수 있다는 장점때문에 가장 많이 사용된다. 하지만 TSM은 매개변수에 대한 의존성과 불확도가 크며, TSM의 저장대에서의 농도분포에 대한 지수함수형태의 모델링이 하상간극수역(Hyporheic zone)에서의 저장대 특성을 반영하기에 구조적으로 부정확하다는 단점이 제기되고 있다. 최근 이러한 TSM의 단점을 보완하고 하천에서의 저장대 메커니즘을 보다 정확하게 구현하고자 체류시간분포(residence time distribution)를 이용한 확률론적 저장대 모델링 프레임워크가 등장하고 있다. 본 연구에서는 본류대와 저장대에서의 오염물질의 체류시간분포를 분리하여 해석하고 이를 전달함수(transfer function)를 이용한 합성곱으로 결합한 형태의 프레임워크를 적용하여 모델링하였다. 상기의 모형을 검증하기 위하여 2019년 감천의 4.85km 구간에서 추적자 실험을 실시하였다. 실험 당시 유량은 12.9 m3/s로 풍수기에 해당되며 평균 유속은 약 0.6 m/s로 측정되었다. 모형의 매개변수는 추적자 실험으로부터 최적화 기법을 통해 역모델링기법으로 결정하였다. 제안된 모형에 의한 모의 결과를 추적자 실험에서의 농도측정자료와 비교한 결과, 평균 0.988의 결정계수를 보여 매우 높은 정확도를 보이고 있음을 알 수 있었다. 저장대특성을 나타내는 농도곡선의 꼬리부에 대하여 같은 조건에서 1차원 이송-분산(ADE) 모형, TSM의 모의결과와도 비교한 결과 본 모형은 추적자 실험 농도측정 결과와 평균 0.195의 오차율을 보이며, 이는 ADE 모형과 TSM의 오차율인 14.03과 1.866에 비해 매우 정확한 것으로 나타났다.

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Comparison of Smart City Efficiency Using DEA and KPI

  • Sang-Ho Lee;Hee-Yeon Jo;Yun-Hong Min
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.97-109
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    • 2024
  • This research aims to investigate how major cities in Korea utilize smart city-related technologies, develop key performance indicators (KPIs) to measure the smartness and efficiency of cities, and propose a methodology for assessing and suggesting smart city policy directions based on Data Envelopment Analysis (DEA). Referring to the CITYkeys Smart City Performance Measurement Framework, 10 key performance indicators (KPIs) were derived. For each KPI, city statistical data were allocated to input and output variables, and 15 cities were assigned as Decision Making Units (DMUs). The DEA methodology was employed to evaluate the operational efficiency and scale profitability of cities, providing insights into the operational efficiency of each city. Finally, the operational efficiency among DMUs was ranked to propose smart city policy directions for each city.

A Study on the Intention to Use Big Data Based on the Technology Organization Environment and Innovation Diffusion Theory in Shipping and Port Organization (TOE와 혁신확산이론에 따른 해운항만조직의 빅데이터 사용의도에 관한 연구)

  • Lee, Joon-Peel;Chang, Myung-Hee
    • Journal of Korea Port Economic Association
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    • v.34 no.3
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    • pp.159-182
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    • 2018
  • The purpose of this study is to increase the competitiveness of big data in the maritime port organization, by understanding the expected performance and the intention to accept and use big data. In the empirical analysis of factors affecting the intention to use the big data technology for maritime port organizations, the variables employed are based on the Technology Organization Environment(TOE) and Diffusion of Innovations(DOI) theories, which are related to the acceptance of information and communication technologies. To achieve the objective of this study, an empirical analysis was conducted; this analysis targeted the personnel involved in the department of strategic planning and information technology in the related field. We set up eight hypotheses to examine the relevance between variables having three characteristics-technology, organization, and environmental characteristics. The empirical results are summarized as follows. First, it was seen that the technology characteristic, including relative advantage, complexity, and compatibility, has a significant effect on the expected performance. Second, the top management support of the organization characteristic has a significant effect, but the firm size of this characteristic has no significant effect on the expected performance. Third, the competitive pressure of the environment characteristic has a positive effect on the expected performance, while the regulatory support has no significant effect. Finally, the expected performance has a significant effect on the intention to use big data.