• 한국산업정보학회논문지
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• 제21권2호
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• pp.11-20
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• 2016

본 논문에서는 항공기를 이용하여 지진이나 쓰나미가 발생한 광범위한 재난 지역이나 인터넷 오지에서의 무선 인터넷 서비스를 제공하기 위한 글로벌 무선통신망의 구축 가능성에 대해 논의한다. 먼저 한국, 일본, 유럽, 미국의 상공 위를 지나가는 항공기의 운항 데이터를 수집하고 무선통신 장치를 탑재한 항공기는 항상 일정 지역을 대상으로 무선통신 서비스를 제공한다고 가정한 후 각 지역에서 항공기를 통해 어느 정도의 범위로 무선통신 서비스가 가능한지 계산하기 위한 서비스 영역 계산 방법론을 제시한다. 서비스 영역 계산 알고리즘을 통하여 각 지역 상공 위에 체공하는 모든 항공기를 대상으로 시간별로 무선 인터넷 서비스 가능 영역을 전체 대비 평균 가용 지역 비율로 계산하고 누적 서비스 가능 밀도도 계산한다. 이를 통해 항공기를 이용한 글로벌 무선통신망의 구축이 가능함을 확인한다.

• 유통과학연구
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• 제19권12호
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• pp.83-89
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• 2021

Purpose: Purpose of this study is to empirically analyze influence of global competitive capability on global performance of distribution industry in South Korea. Also based on the empirical results, give managerial implication to distribution industry and contribute to academies of management. Research design, data and methodology: This study focuses on relationship analysis between global competitive capability and global performance. This study measured global competitive capability with three concepts; human capability, network capability and product/service capability. And measured global performance with export performance. To empirically analyze relationship between variables, this study used 2,316 data of GCL Test by KOTRA and Kdata. This study used SPSS26 and analyzed frequency, reliability, correlation and stepwise regression analysis. Results: Result shows that, in control variable, business period and business field give significant positive influence on export performance. Among antecedents, human capability and network capability give significant positive influence on export performance. However, product/goods/service was not significant. Due to significant influence of business field which is categorical variable. This study additionally analyze relationship by business field group to confirm whether relationship differ by group or similar. Conclusions: Based on the results, this study try to give implication to distribution industry management and contribute to academic.

• 무역상무연구
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• 제46권
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• pp.237-261
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• 2010

Resent East Asian economic growth has lead the increase of global trade volume and global logistics to the level of full-scale development as aiming to have quantitative growth in world trades in one hand and increasing mutual dependence among the East Asian Economic Bloc on the other. In other words, East Asian economic current growth is going along as connecting with 2 different process that are the increase of global trade volume and the technical development of global logistics system. And mutual dependence among the East Asian Economic Bloc shows the deepening trend in production and consumption. While having the flow of expansion in East Asian trade volume and logistics network in mind, this paper will study on trend in East Asian intra-trade and then study on change & tasks in the East Asian Logistics system.

• 한국항해항만학회지
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• 제32권1호
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• pp.65-72
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• 2008

본 연구의 목적은 동아시아 지역을 중심으로 글로벌 항만 물류네트워크를 구축하여 우리나라의 새로운 항만정책을 제안하는 것에 있다. 이러한 항만 물류네트워크의 구축을 위해 세계 50위 항만 중 21개의 항만을 중심으로, 컨테이너 화물량과 기항지를 분석하여 EU, 북미를 연결시 최소 물류비용인 동아시아 지역의 4개의 대표항만을 추출하였다. 그 결과 동아시아에서는 싱가포르, 홍콩, 상하이, 부산항이 추출되었다. 따라서, 우리나라는 싱가포르, 홍콩, 상하이항에 해외 터미널을 운영하고 부산항과 연계하는 글로벌 항만 물류네트워크를 구축하여 안정적인 화물을 확보해야 한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1586-1589
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• 2005

GUMF (Global User Management Framework) that is proposed in this research can be applied to next generation network such as BcN (Broadband convergence Network), it is QoS guaranteed security framework for user that can solve present Internet's security vulnerability. GUMF offers anonymity for user of service and use the user's real-name or ID for management of service and it is technology that can realize secure QoS. GUMF needs management framework, UMS (User Management System), VNC (Virtual Network Controller) etc. UMS consists of root UMS in country dimension and Local UMS in each site dimension. VNC is network security equipment including VPN, QoS and security functions etc., and it achieves the QoSS (Quality of Security Service) and CLS(Communication Level Switching) functions. GUMF can offer safety in bandwidth consumption attacks such as worm propagation and DoS/DDoS, IP spoofing attack, and current most attack such as abusing of private information because it can offer the different QoS guaranteed network according to user's grades. User's grades are divided by 4 levels from Level 0 to Level 3, and user's security service level is decided according to level of the private information. Level 3 users that offer bio-information can receive secure network service that privacy is guaranteed. Therefore, GUMF that is proposed in this research can offer profit model to ISP and NSP, and can be utilized by strategy for secure u-Korea realization.

• International Journal of Knowledge Content Development & Technology
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• 제11권3호
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• pp.29-44
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• 2021

The study provides a quantitative and qualitative description of global research in the domain of quantum machine learning (QML) as a way to understand the status of global research in the subject at the global, national, institutional, and individual author level. The data for the study was sourced from the Scopus database for the period 1999-2020. The study analyzed global research output (1374 publications) and global citations (22434 citations) to measure research productivity and performance on metrics. In addition, the study carried out bibliometric mapping of the literature to visually represent network relationship between key countries, institutions, authors, and significant keyword in QML research. The study finds that the USA and China lead the world ranking in QML research, accounting for 32.46% and 22.56% share respectively in the global output. The top 25 global organizations and authors lead with 35.52% and 16.59% global share respectively. The study also tracks key research areas, key global players, most significant keywords, and most productive source journals. The study observes that QML research is gradually emerging as an interdisciplinary area of research in computer science, but the body of its literature that has appeared so far is very small and insignificant even though 22 years have passed since the appearance of its first publication. Certainly, QML as a research subject at present is at a nascent stage of its development.

• 디지털융복합연구
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• 제6권4호
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• pp.137-145
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• 2008

Embedded industry has emerged as one of the important industry for u-IT based application service. Technology development related to embedded hardware and software provides the base for the development of U-IT convergence industry. This study intends to suggest a research model to investigate the influence of industry, organization, technology factors on technology performance in the embedded companies. This study adopted research variables such as global network, local network, industry intensity, and technology capability as independent variables, with technology performance as a dependent variable from the existing literatures. The purpose of this study is to analyze the influence of industrial and organizational factors on technology performance of embedded companies SCM systems, including the moderating effect of government support. 94 companies data were collected by survey. The result of this empirical study is summarized as follows. First, local network and technology capability are the important determinants to influence technology performance of embedded companies in direct effect model. Second, global network and industry intensity has more positive influence on technology performance of embedded companies through a moderating variable of government support.

• 제어로봇시스템학회논문지
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• 제12권5호
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• pp.473-479
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• 2006

A global path planning algorithm using modified self-organizing feature map(SOFM) which is a method among a number of neural network is presented. The SOFM uses a randomized small valued initial weight vectors, selects the neuron whose weight vector best matches input as the winning neuron, and trains the weight vectors such that neurons within the activity bubble are move toward the input vector. On the other hand, the modified method in this research uses a predetermined initial weight vectors of the 2-dimensional mesh, gives the systematic input vector whose position best matches obstacles, and trains the weight vectors such that neurons within the activity bubble are move toward the opposite direction of input vector. According to simulation results one can conclude that the modified neural network is useful tool for the global path planning problem of a mobile robot.

• Agribusiness and Information Management
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• 제3권1호
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• pp.23-37
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• 2011

The development of informatization impacts all sectors, including agriculture. Agricultural informatization builds the knowledge linkage structures of agricultural innovation systems globally. This study investigated the global knowledge linkage structures in agricultural innovation pertinent to information technology (IT) for agricultural research and development (R&D) investments and activities. We explored the longitudinal trend of systemness within the networked research relationships in the triple helix (TH) of the university, industry and government (UIG). We collected data from publications in the Science Citation Index (SCI), the Social Sciences Citation Index (SSCI), and the Arts and Humanities Citation Index (A&HCI) to analyze the TH network dynamics. We also performed a scientometrics analysis to quantitatively identify the knowledge and insights of global agricultural innovation structures. These results could be informative for individual countries. Our findings reveal that the global knowledge linkage structures in the agricultural sector that are pertinent to IT fluctuate widely and fail to increase the capacity of agricultural innovation research due to a neglect of the network effects of the TH dynamics of UIG.

• Genomics & Informatics
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• 제14권1호
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• pp.2-11
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• 2016

The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome data from tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis of global proteome data identifies and prioritizes the proteins showing altered abundances, called differentially expressed proteins (DEPs), in disease samples, compared to control samples. Protein biomarker candidates that can serve as indicators of disease states are then selected as key molecules among these proteins. Recently, it has been addressed that cellular pathways can provide better indications of disease states than individual molecules and also network analysis of the DEPs enables effective identification of cellular pathways altered in disease conditions and key molecules representing the altered cellular pathways. Accordingly, a number of network-based approaches to identify disease-related pathways and representative molecules of such pathways have been developed. In this review, we summarize analytical platforms for network-based protein biomarker discovery and key components in the platforms.