• Title/Summary/Keyword: Data-Integration

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Overcoming Limitations of Optical Integration Technology: Trends of Silicon Photonics-Based Optical Transceiver Technology (광집적화 기술 한계 극복: 실리콘 포토닉스 기반 광트랜시버 기술 동향)

  • Lee, J.C.;Yoo, S.H.;Seo, D.J.;Park, H.;Lee, J.K.
    • Electronics and Telecommunications Trends
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    • v.37 no.3
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    • pp.11-22
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    • 2022
  • The development and application of silicon photonics technology to terabit optical transmission are expected in the future. Silicon photonics technology is recognized as the only technology focusing on increasing the bandwidth of data center switches. High-density integration-based small optical subassemblies, optical engines, and optical transceivers are converged with the silicon photonics technology to accelerate a revolution in optical interfaces.

IMPACT OF TECHNOLOGY UTILIZATION ON PROJECT OWNER SATISFACTION

  • Li-Ren Yang;Chung-Fah Huang
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.754-757
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    • 2005
  • Construction firms attempt to improve project performance by adopting technology. However, the advantages gained from technology utilization are still not clear. Lack of information regarding technology benefits has resulted in industry reluctance to implement new technology. Therefore, there are needs for studies that quantify the impacts of technology utilization on project performance. An industry-wide survey was used to collect project data from 70 capital facility projects on the issue of technology usage and project owner satisfaction parameter. This paper reports on integration/automation technology usage in the Taiwanese construction industry and associated impacts on project owner satisfaction. In addition, integration and automation technology findings are presented by project phase. The analyses indicate that projects with owner satisfaction have, on average, higher levels of technology utilization than projects with owner dissatisfaction for all technology usage metrics analyzed.

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Automated 3D Model Reconstruction of Disaster Site Using Aerial Imagery Acquired By Drones

  • Kim, Changyoon;Moon, Hyounseok;Lee, Woosik
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.671-672
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    • 2015
  • Due to harsh conditions of disaster areas, understanding of current feature of collapsed buildings, terrain, and other infrastructures is critical issue for disaster managers. However, because of difficulties in acquiring the geographical information of the disaster site such as large disaster site and limited capability of rescue workers, comprehensive site investigation of current location of survivors buried under the remains of the building is not an easy task for disaster managers. To overcome these circumstances of disaster site, this study makes use of an unmanned aerial vehicle, commonly known as a drone to effectively acquire current image data from the large disaster areas. The framework of 3D model reconstruction of disaster site using aerial imagery acquired by drones was also presented. The proposed methodology is expected to assist rescue workers and disaster managers in achieving a rapid and accurate identification of survivors under the collapsed building.

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The Effects of Airport Duty-Free Store O2O Integration Service Patterns Innovation Characteristics, Consumer Pursuit Benefits and Value-Congruency on Behavioral Intention

  • Yin-Nan Li;Young Woo Lee
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.4
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    • pp.45-55
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    • 2023
  • This paper calls attention to the central problem of the influence of identifying the determinants of airport duty-free store customers perceived innovativeness, pursuit benefits and value-congruency on the behavioral intention. The data is completed with 307 adults with purchasing experience of airport duty-free store O2O integration service which brings sufficient convenience to consumers. The content analysis results show that the influence factors of innovation characteristics, consumer pursuit benefits and value-congruency affect the behavioral intention in various aspects. The result suggests that we should upgrade the innovate functionality and improve the service quality based on consumer needs. Finally, this study discusses implications for theory and practice, indicates limitations, and concludes with some suggestions for future research.

The Design about Data Component for Develop of Infrastructure Asset Management System (공공시설 자산관리 체계 프레임워크 구성을 위한 데이터 구성요소 설계)

  • Myoung-Bae Seo;Seong-Yun Jeong
    • Annual Conference of KIPS
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    • 2008.11a
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    • pp.590-592
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    • 2008
  • 정부와 시설물유지관리 기관에서는 공공시설의 안전성 확보와 유지관리 업무의 생산성 향상을 위해 다양한 시설물유지관리시스템을 구축하여 운영중에 있으나 대응적 유지보수 체계의 한계로 인하여 합리적인 예산수립을 위한 최적의 의사결정을 하기가 어려운 실정이다. 이러한 이유로 유지관리의 효율성 증대 및 예산 절약을 위해 공공시설에 예방적 개념의 자산관리체계를 도입해야 한다는 요구가 증대되고 있다. 자산관리는 시설물의 최적화된 관리를 위한 경영전략으로 시설물 상태에 대한 공학적, 해석적 분석을 넘어 대상물을 자산으로 인식·평가하고 가치유지 및 향상을 목표로 하며 동시에 사용자의 최대만족을 얻기 위한 전략이다. 국내에서는 이러한 시대적인 요구에 따라 자산관리에 대한 연구가 진행 중이며 본 논문에서는 자산관리정보시스템을 개발하기 위한 해외 사례조사를 통해 시스템 핵심 기능을 도출하고 이를 통해 데이터 항목 분류방안을 제시하였다.

Long Short-Term Memory Network for INS Positioning During GNSS Outages: A Preliminary Study on Simple Trajectories

  • Yujin Shin;Cheolmin Lee;Doyeon Jung;Euiho Kim
    • Journal of Positioning, Navigation, and Timing
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    • v.13 no.2
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    • pp.137-147
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    • 2024
  • This paper presents a novel Long Short-Term Memory (LSTM) network architecture for the integration of an Inertial Measurement Unit (IMU) and Global Navigation Satellite Systems (GNSS). The proposed algorithm consists of two independent LSTM networks and the LSTM networks are trained to predict attitudes and velocities from the sequence of IMU measurements and mechanization solutions. In this paper, three GNSS receivers are used to provide Real Time Kinematic (RTK) GNSS attitude and position information of a vehicle, and the information is used as a target output while training the network. The performance of the proposed method was evaluated with both experimental and simulation data using a lowcost IMU and three RTK-GNSS receivers. The test results showed that the proposed LSTM network could improve positioning accuracy by more than 90% compared to the position solutions obtained using a conventional Kalman filter based IMU/GNSS integration for more than 30 seconds of GNSS outages.

A Study on the Service Integration of Traditional Chatbot and ChatGPT (전통적인 챗봇과 ChatGPT 연계 서비스 방안 연구)

  • Cheonsu Jeong
    • Journal of Information Technology Applications and Management
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    • v.30 no.4
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    • pp.11-28
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    • 2023
  • This paper proposes a method of integrating ChatGPT with traditional chatbot systems to enhance conversational artificial intelligence(AI) and create more efficient conversational systems. Traditional chatbot systems are primarily based on classification models and are limited to intent classification and simple response generation. In contrast, ChatGPT is a state-of-the-art AI technology for natural language generation, which can generate more natural and fluent conversations. In this paper, we analyze the business service areas that can be integrated with ChatGPT and traditional chatbots, and present methods for conducting conversational scenarios through case studies of service types. Additionally, we suggest ways to integrate ChatGPT with traditional chatbot systems for intent recognition, conversation flow control, and response generation. We provide a practical implementation example of how to integrate ChatGPT with traditional chatbots, making it easier to understand and build integration methods and actively utilize ChatGPT with existing chatbots.

Analysis of Corporate Sustainability Management Cases in Sneaker Brands

  • Jaeyoung Lee
    • International Journal of Advanced Culture Technology
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    • v.12 no.3
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    • pp.317-324
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    • 2024
  • In terms of corporate sustainability management, the footwear industry is still at a very early stage compared to other sectors, and footwear, especially sneakers, is not as far along as apparel due to the nature of the product. As a result, there is a lack of research on sustainability in the sneaker industry in the academic community. Thus, this study analyzed the sustainability practices of three leading brands in the sneaker market, adidas, allbirds, and NIKE, in order to provide basic data for expanding sustainability in the sneaker industry. The study found that the characteristics of sustainable management in sneaker brands are economic efficiency, environmental circularity, social integration, and governance soundness. Sustainable management is increasingly recognized as an essential task in modern society, and as the sneaker market expands, the demand for CSM from relevant brands will grow accordingly. Therefore, the results of this study will help to set policy directions for sneaker brands pursuing sustainable management.

A Study on Competitiveness Improvement and Countermeasure of Export Promotion in Korean Industry

  • Jae-Sung LEE
    • East Asian Journal of Business Economics (EAJBE)
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    • v.12 no.3
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    • pp.11-23
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    • 2024
  • Purpose: The plant industry is a key order-taking industry that leads national industrial development through convergence and integration with various industries in all value chains from planning and marketing to financing, design and engineering, purchasing, construction, and operation and maintenance (O&M). Research design, data and methodology: The Korea government has been actively promoting overseas plant market development support projects to support large and public enterprises and medium and small enterprises. Results: The Korea government are working with the industry and the government so that the Korean plant industry can establish itself as a key driving force that provides the foundation for low-carbon and energy transition that our times demand and makes our world a better place to live. Conclusion: A high value-added industry that brings enormous profits and international fame to exporting countries. Korea is highly dependent on trade, should recognize the plant industry as a key national export sector.

THE STUDY OF SPATIAL AND TEMPORAL VARIABILITY OF THE KUROSHIO EXTENSION USING REMOTE SENSING DATA WITH APPLICATION OF DATA-FUSION METHODS

  • Kim Woo-Jin;Park Gil- Yong;Lim Se-Han;OH Im-Sang
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.434-436
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    • 2005
  • Analysis method using remote sensing data is one of the effective ways to research a spatial and temporal variability of the mesoscale oceanic motions. During past several decades, many researchers have been getting comprehensive results using remote sensing data with application of data fusion methods in many parts of geo-science. For this study, we took the integration and fusion of several remote sensing data, which are different data resolution, timescale and characteristics, for improving accurate analysis of variation of the Kuroshio Extension. Furthermore, we might get advanced ways to understand the variability of the Kuroshio Extension, has close relation to the spatial and temporal variation of the Kuroshio and Oyashio Current.

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