• Title/Summary/Keyword: Core-A 플랫폼

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A Conceptual Study on Blockchain Technology-based STO Platform Creation for Ship Finance (블록체인 기술을 활용한 선박금융 STO 플랫폼 구축에 대한 연구)

  • Ahn, Soon-Goo;Yun, Hee-Sung
    • Journal of Korea Port Economic Association
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    • v.38 no.1
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    • pp.31-47
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    • 2022
  • While the ship finance industry has long been struggling with diminishing involvements from the private sector, government-run banks have consistently increased their presence in maritime finance. To address such concerns, this research conceptually explores the creation of blockchain technology-driven security token offering (STO) platforms. To suggest a sound platform model, this piece first examines key design principles. Based on the integral perspective on the digital platform, this paper exhibits three core design principles to create a virtuous platform ecosystem, then sets out STO platform design guidelines. This paper further explores an STO platform model by considering conventional ship finance systems and practices in Korea. The STO platform has three main effects; 1) the wider availability of STOs can enlarge both the scope and size of ship finance users, 2) the activation of security token transactions leads to an increase in participation, and 3) possibilities to create complementary innovative financial services can further encourage the participation of private investors. The STO ecosystem may contribute to the shipping, shipbuilding, and ship finance industries by enhancing its attractiveness to the general public and by creating positive externalities for Busan as a maritime finance center.

Real Time Framework Design based on Android Platform (안드로이드 플랫폼을 기반으로 한 실시간 프레임워크 설계)

  • Kang, Ki-Woong;Han, Kyu-Cheol;Jang, Seung-Jin;Lim, Se-Jung;Kim, Kwang-Jun;Jang, Chang-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.11
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    • pp.1255-1266
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    • 2014
  • This thesis presents MPU module, Base board and sensor module which are efficient industrial control through design and manufacture as developing S5PV210 CPU of SAMSUNG used by ARM Cortex-A8 based on Android which is Open mobile platform is installed to embedded system. Data for temperature and humidity which are received by sensor module proved the suitability and validity for the real time framework design as implementing application program employed the smart phone App with hybrid application based on DB of web server.

Development of a college English teaching and learning model in online synchronous/asynchronous platforms to enhance Competencies (실시간-비실시간 온라인플랫폼을 통한 역량강화중심 대학영어 교수-학습 모형 개발)

  • Lee, Myong-Kwan
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.35-42
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    • 2021
  • The college English teaching-learning model in this study is intended to effectively apply dictogloss activities to enhance competencies such as communication, self-directedness, and cooperation by upgrading the utilization of various online platform functions. Dictogloss is a language teaching and learning activity that combines four functions (listening, speaking, reading, and writing) of communication. College English classes in this study focus on communication-oriented integrated English education. In this study, the teaching and learning is an online-based English integrated teaching-learning method based on constructivism theory. The model presented the roles of learners and teachers according to the seven procedures.

Design and Implementation of the Chronic Disease Management Platform based on Personal Health Records (개인건강기록 기반 만성질환 관리 플랫폼의 설계 및 구현)

  • Song, Je-Min;Lee, Yong-Jun;Nam, Kwang-Woo
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.1
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    • pp.47-62
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    • 2012
  • To propagate clinical disease management service, there should be built a ecosystem where service developers, service providers, device suppliers closely cooperate for u-Health platform. However, most u-Health platform is difficult to build an effective ecosystem due to the lack of secure and effective PHR(Personal Health Record) management, the lack of personalized and intelligent service, difficulties of N-screen service. To solve these problems we suggest the CDMP(Chronic Disease Management Platform) architecture. The CDMP is a software platform that provides the core functions to develop the chronic disease management services and performs a hub function for the link and integration rbetween various services and systems. CDMP is SOA based platform that enables a provision of reusability, expansibility and it provides open API where everybody can share information, contents and services easily. CDMP supports the multi platform system foN-screen service and the self management functions via SNS. In this paper, we design and implement the CDMP including PHR service based on hybrid data model for privacy preservation. Experiment results prove the effectiveness of hybrid model-based PHR service.

Strategies for a Phase 2 Road Map of Global Problem Solving Center 2030 (2030 글로벌문제해결거점 2단계 사업 추진전략 로드맵)

  • Maeng, Min-Soo;Ahn, Sung-Hoon;Moon, Ji-Hyun;Dockko, Seok
    • Journal of Appropriate Technology
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    • v.7 no.1
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    • pp.115-124
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    • 2021
  • Due to the successful accomplishments of the first-stage base center project, a road-map for the second-stage, global base center 2030 project has recently been proposed. The vision of the base center is to build a technology centered, cooperation based platform for a sustainable global community. The global base center 2030 project is based on three core strategies as well as three key strategies. The main goal of the core strategy is to establish an interdisciplinary smart platform, as well as a global tech-coordination facility to implement sustainable, inclusive, and innovative science and technology based ODA projects. To achieve such goals, the global center will focus on developing a global living lab, interdisciplinary smart linkage systems, and a global operating platform. The main goals for the key strategies are to solve issues at the base centers while establishing an international relationship through sustainable technology. To achieve such goals, key projects are centered in establishing a ICT package, and a global living lab based on smart interconnected system. With this, a global inter-connected business platform will also be established to support technical and operational issues.

A Study on an e-Service Platform for Financial Institutions (금융 기관을 위한 e-서비스 플랫폼 연구)

  • 송영효
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.11a
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    • pp.136-160
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    • 2002
  • Most important to financial institutions is to provide well designed and built services to the customers by accessing their core bank systems and affiliated systems in their partners. This will be essential to introduce new products and services and still be able to count on legacy and collaborative affiliated systems. Winning the war on such service competitions among financial institutions is attainable by seizing the "e-bank" opportunities in B2Bi and CRM (Customer Relationship Management). Such application integrations among systems and "e-bank" services need to be available in the new IT environment. In this article, an If and service architecture adopting unified e-business services platform is proposed. This architecture is able to achieve application integrations among legacy, affiliated, and e-business systems and services. We derive an architecture in unified e-business services platform by investigating current and future e-business services platforms involved in domestic and global international banks. Several financial interchange standards which are involved in B2B business of e-procurement, e-placement, e-payment are also investigated.

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A Study on Investors' Investment Decision Factors in Platform Startup (플랫폼 스타트업에 대한 투자결정요인에 관한 연구)

  • Tae Hwan Heo;Kyung Se Min
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.2
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    • pp.109-124
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    • 2024
  • The value of platform companies is rapidly increasing, exerting significant influence across industries. Identifying and fostering promising platform companies is crucial for enhancing national competitiveness. Consequently, tailored evaluation standards are necessary for such companies. This study derived investment decision factors specific to platform companies and compared the importance of each factor using Analytic Hierarchy Process (AHP) analysis. Key factors included platform characteristics, finance, entrepreneur (team), market, and product/service attributes. The findings revealed that platform characteristics were deemed the most crucial factor for investors. Specifically, factors such as platform size, ease of value fixation, core participant group, and data value were identified as pertinent for evaluating platform companies. Moreover, analysis distinguished between investors with prior platform investment experience and those without. Significantly, investors with platform investment experience placed greater emphasis on the value of data secured by platform Furthermore, it was observed that investors prioritized future value and growth potential over current value when investing in platform. Notably, founder/team characteristics, typically highly regarded in previous studies, ranked lower in importance in this study, highlighting a shift in focus. The discrepancy between this study's results and prior research on investment decision factors is attributed to the specificity of the questions posed. By focusing on investment decision factors for platform startups rather than generic startup inquiries, investor responses aligned more closely with platform-focused considerations. Given the burgeoning venture investment landscape, there's a growing need for detailed research on startups within specific sectors like IT, travel, and biotech. This approach can replace extensive research covering all startup types to identify investment decision factors suited to the characteristics of each individual industry.

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A Study on the Research Trends on Domestic Platform Government using Topic Modeling (토픽 모델링을 활용한 한국의 플랫폼정부 연구동향 분석)

  • Suh, Byung-Jo;Shin, Sun-Young
    • Informatization Policy
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    • v.24 no.3
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    • pp.3-26
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    • 2017
  • The amount of unstructured data generated online is increasing exponentially and the analysis of text data is being done in various fields. In order to identify the research trends on the platform government, the title, year, academic society, and abstract information of the academic papers on the subject of platform government were collected from the database of the domestic papers, DBPIA(www.dbpia.co.kr). The results of the existing research on the platform government and related fields were analyzed based on each stage of the national informatization promotion. The technology, service, and governance topics were extracted from papers on platform government and the trends of core topics were analyzed by year. Entering the era of the intelligent information society, this study has significance for providing the basis for defining a new role of government - the platform government that sets the stage for the private sector to lead the innovation, and plays the role of an 'enabler' and 'facilitator' instead. The purpose of this study is to understand the platform government research through objective analysis of its trends. Looking for future directions, this study will contribute to future research by providing reference materials.

PLS Path Modeling to Investigate the Relations between Competencies of Data Scientist and Big Data Analysis Performance : Focused on Kaggle Platform (데이터 사이언티스트의 역량과 빅데이터 분석성과의 PLS 경로모형분석 : Kaggle 플랫폼을 중심으로)

  • Han, Gyeong Jin;Cho, Keuntae
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.2
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    • pp.112-121
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    • 2016
  • This paper focuses on competencies of data scientists and behavioral intention that affect big data analysis performance. This experiment examined nine core factors required by data scientists. In order to investigate this, we conducted a survey to gather data from 103 data scientists who participated in big data competition at Kaggle platform and used factor analysis and PLS-SEM for the analysis methods. The results show that some key competency factors have influential effect on the big data analysis performance. This study is to provide a new theoretical basis needed for relevant research by analyzing the structural relationship between the individual competencies and performance, and practically to identify the priorities of the core competencies that data scientists must have.

Decision of Optimal Platform Location Considering Work Efficiency -Optimization by Excavator Specification- (작업의 효율성을 고려한 최적 플랫폼 위치 선정 방안 -굴삭기 제원에 따른 최적화-)

  • Lee, Seung-Soo;Park, Jin-Woong;Seo, Jong-Won;Kim, Sung-Keun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.790-793
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    • 2008
  • Recently, Intelligent Excavating System(IES) for earthwork automation is on progress since the end of 2006 as a part of construction technology innovation projects in Ministry of Land, Transport and Maritime Affairs. Task Planning System(TPS), one of the detail core technologies of IES, is an optimal work planning system in conditions of effectiveness, safety and economic efficiency by analyzing the work environment data based on earthwork design and work environment recognition technology. For effective earthwork planning, the location of platform must be the most optimal spot for minimization of time, maximization of productivity and reduction of overlapped work spaces and unnecessariness. Besides, the decision of optimal platform location is to be based on the specifications and then is able to be converted with the local area calculation algorithm. This study explains the decision of optimal platform location on the basis of local area from the work space separate process and judges the effectiveness.

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