• Title/Summary/Keyword: Knowledge Information Resource

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A Study of BIM Delivery Model for Railway Construction Project using BIM Function Breakdown Structure (BIM 기능요소 분류체계 도출에 의한 철도시설공사 BIM 기능발주 구성 방안)

  • Kim, Young-Hwan;Kim, Hyeon-Seung;Kang, Leen-Seok
    • Journal of the Korean Society for Railway
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    • v.18 no.4
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    • pp.344-353
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    • 2015
  • Recently, the utilization of the BIM system has been extended to cost and resource simulation, visualized management of construction site information and application of augmented reality including basic 3D modeling. Therefore, various BIM functions are being developed for practical applications. However, since clear classification criteria and knowledge information of BIM functions are not sufficient for field engineers, it is difficult to identify the necessary BIM functions for a construction project. This study suggests a BIM function breakdown structure considering the individual functional properties and a process model that can be ordered by applying BIM in a railway construction project. The proposed delivery model is used to obtain a practical utilization of BIM by analyzing features applicable to railway construction projects; model is verified using a case project.

Determinants of FDI in Transition Countries of Central Asia with VECM (수정오차모형을 통한 중앙아시아 체제전환국들의 FDI 결정요인 분석)

  • Narantsetseg, Narantsetseg;Choi, Chang Hwan
    • International Commerce and Information Review
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    • v.18 no.1
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    • pp.107-127
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    • 2016
  • This paper attempts to investigate determinants of foreign direct investment in transition countries of Mongolia and Central Asia five countries of Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan and Turkmenistan. FDI inflows in this transition economies have been far increasing due to their rapid growth, GDP, gross capital formation, wage, labor force, open trading, infrastructure and natural resources as well as the factors demonstrating the economic variables and political variables of these countries by Vector Error Correction Model. The results of empirical analysis based on data from 1993 to 2013 confirmed that FDI and open trade and gross capital formation and political than GDP, wage, labor force, infrastructure and natural resources had a significant impact on Central Asia and Mongolia. In addition, if Mongolia and Central Asian five countries can maintain the country's economic growth, reduce unemployment level, achieve certain improvements in domesticating new technologies and improving skills and knowledge sphere as well as promoting stable domestic price increase, attracting and improving the FDI by paying more attention to the indicators focusing on country's GDP, wage, labor force, infrastructure and natural resource.

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A Design of TopicMap System based on XMDR for Efficient Data Retrieve in Distributed Environment (분산환경에서 효율적인 데이터 검색을 위한 XMDR 기반의 토픽맵 시스템 설계)

  • Hwang, Chi-Gon;Jung, Kye-Dong;Kang, Seok-Joong;Choi, Young-Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.3
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    • pp.586-593
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    • 2009
  • As most of the data configuration at distributed environment has a tree structure following the hierarchical classification, relative data retrieve is limited. Among these data, the data stored in a database has a problem in integration and efficient retrieve. Accordingly, we suggest the system that uses XMDR for distributed database integration and links XMDR to TopicMap for efficient retrieve of knowledge expressed hierarchically. We proposes a plan for efficient integration retrieve through using the XMDR which is composed of Meta Semantic Ontology, Instance Semantic Ontology and meta location, solves data heterogeneity and metadata heterogeneity problem and integrates them, and replaces the occurrence of the TopicMap with the Meta Location of the XMDR, which expresses the resource location of TopicMap by linking Meta Semantic Ontology and Instance Semantic Ontology of XMDR to the TopicMap.

A Comprehensive Survey of Lightweight Neural Networks for Face Recognition (얼굴 인식을 위한 경량 인공 신경망 연구 조사)

  • Yongli Zhang;Jaekyung Yang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.1
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    • pp.55-67
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    • 2023
  • Lightweight face recognition models, as one of the most popular and long-standing topics in the field of computer vision, has achieved vigorous development and has been widely used in many real-world applications due to fewer number of parameters, lower floating-point operations, and smaller model size. However, few surveys reviewed lightweight models and reimplemented these lightweight models by using the same calculating resource and training dataset. In this survey article, we present a comprehensive review about the recent research advances on the end-to-end efficient lightweight face recognition models and reimplement several of the most popular models. To start with, we introduce the overview of face recognition with lightweight models. Then, based on the construction of models, we categorize the lightweight models into: (1) artificially designing lightweight FR models, (2) pruned models to face recognition, (3) efficient automatic neural network architecture design based on neural architecture searching, (4) Knowledge distillation and (5) low-rank decomposition. As an example, we also introduce the SqueezeFaceNet and EfficientFaceNet by pruning SqueezeNet and EfficientNet. Additionally, we reimplement and present a detailed performance comparison of different lightweight models on the nine different test benchmarks. At last, the challenges and future works are provided. There are three main contributions in our survey: firstly, the categorized lightweight models can be conveniently identified so that we can explore new lightweight models for face recognition; secondly, the comprehensive performance comparisons are carried out so that ones can choose models when a state-of-the-art end-to-end face recognition system is deployed on mobile devices; thirdly, the challenges and future trends are stated to inspire our future works.

A study on the Human Resources Development Strategy for Korean Companies in China (중국진출 한국기업의 현지인력 개발 전략에 관한 연구 - 중국 하얼빈지역 진출기업을 중심으로 -)

  • Kim, Jong-Deuk;Kim, Jang-Ho
    • International Commerce and Information Review
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    • v.14 no.2
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    • pp.29-52
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    • 2012
  • Since diplomatic relations with China in 1992, many Korean companies have entered into China and that expansion is currently continuing. But now, many of Korean enterprises tend to withdraw and return to the domestic, this is because that major factors are too much fast increasing in labor costs and the difficulty of local workforce management. In this study, it is researched that the type of human resource management of Korean firms entering into Heilongjiang Province, Harbin and the similarities and differences were investigated by comparing the form of personnel management of existing areas and Harbin area, and then this study was conducted the survey and interview of domestic companies operating in Harbin, to pursuit the efficient way to manage the workforce development and management strategies. The result of researches and workforce development strategies of entering firms are as follows; First, it is required to establish a human resource discovery system for entering companies in focusing on managerial work ability and on blue-collar which is separated by professional and technical experts and a simple blue-collar people. Second, it is required to entering companies that they have to grow up the promotion and exchange of the Department of Korean Studies in Harbin and have to build the industry and universities training programs to promote needed experts, and have to establish the expert pool systems to support the flexible labor supply.

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Measurement of Global Nursing Research Output: A Bibliometric Study (1996-2015)

  • Singh, Shivendra;Pandita, Ramesh
    • Journal of Information Science Theory and Practice
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    • v.6 no.1
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    • pp.31-44
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    • 2018
  • Purpose: This study aims to examine the research output in the field of nursing at the global level during the last two decades, viz., for the period 1996-2015, with special reference to India. Some of the aspects examined include the research growth in nursing literature during the period of study, leading nursing research countries at the regional and global level, and citation analysis. Scope and Methodology: This study is global in nature, but emphasis has also been laid on India's research contribution in nursing at the global level. Aspects like regional contribution to the nursing research output have also been assessed. This study is purely based on secondary data retrieved from SCImago Journal and Country Rankings. The figures in the study are based on one particular database and are not exhaustive; hence they simply reflect a trend in nursing research at the global level. Findings: During the period 1996 through 2015, a total of 550,490 research articles were published across the world by 212 nation states at an average of 2,596 articles from each individual country. On average, during the period of study, the number of nursing research publications grew at the rate of 7.36% each year. North America has emerged as one of the leading nursing research continents of the world by publishing 218,614 research articles, constituting 39.71% of the global nursing research output. The U.S. and U.K. are the world's two leading nursing research countries, which contributed 193,819 and 61,730 research articles respectively, comprising a 35.21% and 11.21% share of global nursing research output. India and China, apart from being the two fastest growing nursing research countries, have the potential to meet the global human resource demand in the field of nursing, given the skilled and trained human resource both these countries possess in nursing. Social Implication: There is always a need to share working knowledge in some professions and nursing is one of them. There cannot be a better medium than linking practice with theory through the research medium. Metric studies in turn help to get a better idea about the amount of work done in any given field at the national and international level, thus identifying the need thereof to improve upon those areas where there is research lag.

A Study on Deducation of Standard API Sharing Data Elements for Policy Study Information Sharing (정책연구정보 공유를 위한 표준 API 공유 데이터 요소 도출에 관한 연구)

  • Park, Yang-Ha
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.32 no.1
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    • pp.391-413
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    • 2021
  • Policy study information is the essential source of information in every step of decision making process to plan, execute and assess the national operation policy. The policy study subject of a national policy research center from study design the performance assessment on its practical effect is managed via thorough process to secure its effectiveness and efficiency. However, the directly exposed information to the practical user or the public who are in need of actual policy study information is the resource published in a form of policy study report, the final result. NKIS operated by the National Research Council for Economics, Humanities and Social Sciences under the Office for Government Policy Coordination, Prime Minister's Secretariat is a public information offering service that conduct integrated management on study reports from cooperative study among institutes along with policy outcome from 27 national policy research centers. This study aims to introduce the current status of operation and information management of NKIS, apprehend the management characteristics of policy study information resources of national policy research center, and deduce remarks that need to be considered for API with external service for the derivation of standardized sharing data element.

Investigating the Effect of Technology on Service Innovation and Innovation Performance: Based on Korean Knowledge Intensive Business Service Firms (기술이 서비스 혁신과 기업 성과에 미치는 영향에 대한 연구: 국내 지식 서비스 기업을 중심으로)

  • Hyun-Sun Ryu
    • Information Systems Review
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    • v.18 no.4
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    • pp.43-67
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    • 2016
  • Although many studies have stressed the importance of technology in service innovation, the roles of technology in service innovation are at the center of debates in the service innovation literature. One major research stream regards technology as a trigger for other innovation based on resource advantage theory. Conversely, another major stream considers it as an enabler of other innovations based on complementary theory. The contradictory situation induces the necessity to better understand the role of technology in service innovation. Therefore, this study aims to identify the role of technology in service innovation. This study investigates the role of technology in service innovation based on a service innovation orientation framework. Four service innovation orientations (i.e., service creation, service delivery, customer interaction, and technology) are identified on the basis of Den Hertog's 4D model. This study proposes a research model that examines the indirect effect of technology orientation on innovation performance through the service creation and service delivery orientations, and the effect of technology orientation on firm performance as a moderator between customer interaction orientation and firm performance. Based on empirical data from 193 knowledge-intensive business service firms in Korea, we explain the role of technology in service innovation. The results indicate that technology orientation influences both service creation and service delivery orientations as an antecedent but customer interaction orientation as an enabler. The three service innovation orientations, which are directly and indirectly influenced by technology orientation, positively affect firm performance. The findings also show that the role of technology is different depending on the type of service innovation orientation in this study.

Design and Implementation of Library Information System Using Collective Intelligence and Cloud Computing (집단지성과 클라우드 컴퓨팅을 활용한 도서관 정보시스템 설계 및 구현)

  • Min, Byoung-Won
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.49-61
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    • 2011
  • In recent, library is considered as an integrated knowledge convergence center that can respond to various requests about information service of users. Therefor it is necessary to establish a novel information system based on information communications technologies of the era. In other words, it is currently required to develop mobile information service available in portable devices such as smart phones or tablet PCs, and to establish information system reflecting cloud computing, SaaS, Annotation, and Library 2.0 etc. In this paper we design and implement a library information system using collective intelligence and cloud computing. This information system can be adapted for the varieties of mobile service paradigm and abruptly increasing amount of electronic materials. Advantages of this concept model are resource sharing, multi-tenant supporting, configuration, and meta-data supporting etc. In addition it can offer software on-demand type user services. In order to test the performance of our system, we perform an effectiveness analysis and TTA authentication test. The average response time corresponding to variance of data reveals 0.692 seconds which is very good performance in timing effectiveness point of view. And we detect maturity level-3 or 4 authentication in TTA tests such as SaaS maturity, performance, and application programs.

The Effects of Information Sources on Trust, WOM Intention, and eWOM Intention in the Restaurant Sector (외식기업의 정보원천이 신뢰, 구전의도, 그리고 온라인 구전의도에 미치는 영향)

  • CHAO, Meiyu;YOU, YenYoo;KIM Eun-Jung
    • The Korean Journal of Franchise Management
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    • v.13 no.3
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    • pp.1-15
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    • 2022
  • Purpose: In the restaurant sector, it has been known that consumers' positive perception of brands influences their positive WOM intention, and information sources play an important role in increasing credibility by enhancing consumer awareness and developing differentiated brands. This study examines the effects of information sources (e.g., advertisement, WOM, SNS) on trust (cognitive and affective) and, WOM and eWOM intention in the restaurant context. In the model, cognitive and affective trust play mediating roles in the relationships between information sources (e.g., advertisement, WOM, SNS) WOM and eWOM intention. Research design, data, and methodology: Research models and hypotheses were developed according to the research direction. The survey questionnaire items were developed and used appropriately according to the contents of this paper based on prior studies. All constructs were measured with multiple items developed and validated in prior studies. A total of 502 responses were collected from an online survey. The research model was evaluated using SmartPLS 4.0. Frequency analysis was performed to understand the demographic characteristics of the survey respondents. The reliability, convergent validity, and discriminant validity were assessed using measurement model analysis. The proposed model was verified using the structural equation model. Results: Advertisement, WOM, and SNS information sources all had a positive effect on affective trust, whereas only WOM had a significant effect on cognitive trust. In addition, affective trust had a positive effect on cognitive trust and eWOM intention but did not affect WOM intention. Finally, cognitive trust was found to have a positive effect on both WOM intention and eWOM intention. Conclusions: This study redefines the concept of where restaurant service companies should focus when providing consumers with information about their products and services. As a result, the conceptual framework of positive word of mouth intention to increase new customer visits to the restaurant brand has been expanded. In addition, this study not only presents an information source management strategy for restaurant brands, but also presents practical implications for resource allocation guidelines for customer management in the restaurant sector.