• Journal of the Korean Data and Information Science Society
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• 제23권6호
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• pp.1259-1269
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• 2012

Cloud computing has rapidly become a new infrastructure for organizations to reduce their capital cost in IT investment and to develop planetary-scale distributed applications. One of the fundamental challenges in geographically distributed clouds is to provide efficient algorithms for supporting inter-cloud data management and dissemination. In this paper, we propose a geographic group quorum system (GGQS)-based hybrid algorithm for improving the interoperability of inter-cloud in time-critical event dissemination service, such as computing policy updating, message sharing, event notification and so forth. The proposed algorithm first organizes these distributed clouds into a geographic group quorum overlay to support a constant event dissemination latency. Then it uses a hybrid protocol that combines geographic group-based broad-cast with quorum-based multicast. Our numerical results show that the GGQS-based hybrid algorithm improves the efficiency as compared with Chord-based, Plume an GQS-based algorithms.

• Agribusiness and Information Management
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• 제4권2호
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• pp.32-41
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• 2012

Studies have shown that the future of the wine market rests on the effective and efficient changes in technology to the supply chain used by most of the major global players. In today's wine industry, companies are faced with the ever-shifting demand for their products, strict regulation and increasing price competition. Even at that, mature companies in the wine industry are succeeding by scaling up production, streamlining their supply chains, expanding into new geographic areas, implementing more efficient processes, cleverly marketing products, and focusing on ever closer relationships with suppliers, partners and customers. However, this paper looks at supply chain challenges in the wine industry from a global perspective presented in the inbound, manufacturing and outbound processes as well as offer effective solutions in order for companies to gain a competitive advantage and succeed on a global level.

• 보건행정학회지
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• 제17권1호
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• pp.94-124
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• 2007

This paper critically reviews three decades of research on geographic variations. in health services utilization in the United States, thereby drawing policy and research implications for Korea. The recent renewed interest in variations research in the United States, precipitated by studies on regional variations in Medicare expenditures, stems mainly from the policy implication that a substantial amount of Medicare expenditures could be saved without compromising quality and access. From the research perspective, this policy implication was made tenable by integrating micro- and macro-level analysis of variations in health services utilization. Still, theoretical limitations inherent in the research pose great challenges to developing effective strategies at the health system level. Variations research in the United States can serve as a case study as to how health services research has responded to efficiency and quality issues in an ever expanding health system Considering the current health policy and research environment in Korea, the following implications can be drawn. Variations research will help formulate a national policy agenda for health care quality and also advance the framework of approaches to health policy issues. For such purposes, both relevant descriptive and hypothesis-testing studies are needed. Further advancement in variations research will require interdisciplinary explorations and methodological sophistication. To the extent that Korean health policies will strive to achieve complex goals, variations research will increasingly prove to be useful.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2008년도 공동추계학술대회
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• pp.113-118
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• 2008

The present research addresses the system design for building a geospatially-based web services application for mobile users. In recent years, geospatial information(GI) and Geographic Information Systems(GIS) are significant resources in decision-making analyses at various levels of society and activities. Recently, the integration of GIS and web services, called GIS web services, provides the wider implementation of GIS. At the present time, accessing, presenting, and manipulating updatedgeospatial information to locate geo-related facility services are real challenges related to application developers to implement for foot-travelers properly. The present paper investigates how the web services work in a GIS for discovering geo-related facility services such as a restaurant and post office in the user's vicinity. Thus, a prototype, with an architecture consisting of a windows application on the client side as well as facility services and geo-engineon the server side, were designed and implemented with the proposed GIS web services platform. On both the client and server sides, visual studio .Net technology was used. A geo-engine on the server side was also built with ESRI's MapObjects. Following successful implementation of the prototype presented in this study, the mobile user is able to invoke remote web services to assess the location of various facilities such as restaurants. Moreover, the present research demonstratesthat web services are not restricted only to web-based use, but can also be utilized by any web-connected application.

• 한국환경보건학회지
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• 제37권1호
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• pp.1-11
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• 2011

Recent advances in Geographic Information Systems and spatial statistical and analytical methods, along with the availability of spatially referenced health and environmental data, have created unique opportunities to investigate spatial associations between environment exposures and health outcomes at multiple spatial scales and resolutions. However, the increased use of spatial data also faces challenges, one of which is to ensure certainty and accuracy of locational data that meets the needs of a study. This article critically reviews the use of spatially referenced data in epidemiologic studies, focusing on the issue of locational uncertainty generated from the process of geocoding health and environmental data. Primarily, major issues involving the use of spatially referenced data are addressed, including completeness and positional accuracy, potential source of bias and exposure misclassification, and implications for epidemiologic studies. The need for critical assessment and caution in designing and conducting spatial epidemiology studies is briefly discussed.

• World Technopolis Review
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• 제6권1호
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• pp.2.1-2.9
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• 2017

Humanity is experiencing a very fast-paced technological evolution. As technological systems evolve exponentially, societies are becoming more global and are starting to have impacts beyond their geographic demarcations. This implies that, the actions of a person who is across the ocean from where we live could have significant impacts on our everyday lives. This article explores the complexity of globalization, identifies a number of global issues, and looks at the University and the Science and Technology Parks as potential sources of human capital to tackle current and forthcoming global challenges, ranging from new energy sources to potable water distributions. The article focuses on current efforts that are taking place across universities and science and technology parks around the world. We propose a new methodology whereby interdisciplinary work can inform the development of multidisciplinary approaches to solve some of the most complex global issues such as cyber security and educating the next generations of global leaders, providing them them with the necessary skills to be successful in a globally distributed workforce.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.329-339
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• 2022

Small cells, particularly femtocells, are regarded a promising solution for limited resources required to handle the increasing data demand. They usually boost wireless network capacity. While widespread usage of femtocells increases network gain, it also raises several challenges. Interference is one of such concerns. Interference management is also seen as a main obstacle in the adoption of two-tier networks. For example, placing femtocells in a traditional macrocell's geographic area. Interference comes in two forms: cross-tier and co-tier. There have been previous studies conducted on the topic of interference management. This study investigates the principle of categorization of interference management systems. Many methods exist in the literature to reduce or eliminate the impacts of co-tier, cross-tier, or a combination of the two forms of interference. Following are some of the ways provided to manage interference: FFR, Cognitive Femtocell and Cooperative Resource Scheduling, Beamforming Strategy, Transmission Power Control, and Clustering/Graph-Based. Approaches, which were proposed to solve the interference problem, had been presented for each category in this work.

• 한국지리정보학회지
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• 제9권3호
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• pp.156-170
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• 2006

지형분석에서 최대가시권역 확보 문제는 지리정보시스템 (GIS)의 가시권 분석에서 가장 널리 활용되어 오고 있는 공간분석 방법이다. 그러나 한정된 자원과 제약 조건하에서 최대 가시권역을 확보하는 지점을 탐색하는 공간 문제는 연산 과정이 복잡하고 이미 개발된 알고리즘의 경우, 본 연구의 알고리즘과 차이가 있고 최대가시권역 문제 해결에 효과적으로 대처하지 못하고 있다. 그러므로 본 논문에서는 최대 가시권역 문제를 GIS상의 공간 최적화 문제의 하나로 정의하고 이를 해결하기 위하여 전통적인 시설물 입지 분석 알고리즘과 새로운 탐색 방법으로 일반적으로 비공간적 최적화 문제를 위해 개발, 제안되어 온 유전자 알고리즘과 시뮬레이트 어닐링 기법을 가시권 분석 문제에 적합하도록 개발하여 적용하였다. 이들 알고리즘의 적용 가능성과 성능 비교를 위해서 본 논문에서는 다양한 탐색 조건에 대한 각 알고리즘간의 가시권의 해 (visibility solution)를 비교하고, 알고리즘의 탐색 안정성 (algorithmic consistency of solution values)을 통해서 최대가시권역 탐색에 적합한 기법들의 특징을 살펴보고자 하였다. 비교 결과, 유전자 알고리즘과 시뮬레이트 어닐링 기법의 상대적 우수성과 GIS가시권 분석의 활용 가능성이 발견되었고, 향후 복잡하고 복합적인 최대 가시권역 분석을 위해서 보다 향상된 탐색 알고리즘 개발의 필요성과 이를 통한 차세대 GIS가시권 공간분석 기법 개발을 제안하고자 하였다.

• 한국지리정보학회지
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• 제21권1호
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• pp.57-70
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• 2018

빅데이터 시대로 진입하게 되면서 전 세계적으로 생산 및 공유되어지는 무수한 양의 데이터를 활용하고자 하는 노력이 곳곳에서 이루어지고 있다. 특히, 이러한 데이터와 발전된 기술을 통해 국토와 도시 공간에서 일어나는 현상들을 분석함으로써 기존의 전통적 방식에서 보여주지 못하던 새로운 정보를 제공 할 수 있는 가능성과 이에 대한 기대가 커지고 있다. 따라서 기존의 틀을 넘어서는 정보의 구득 방식, 활용 및 전달을 위한 과학적이고 효과적인 방법과 수단이 필요하며 이를 공공의 의사결정의 지원수단으로 활용하려는 노력도 함께 요구된다. 이 연구는 국토도시계획지원(planning support)의 한 수단으로 공간 빅데이터의 동태적 시각화 모형의 개발과 실증적용에 주요한 목적을 두고 수행하였다. 주요한 내용은 다음과 같다. 첫째, 데이터 시각화의 개념과 의미와 함께 계획지원 또는 의사결정에서의 공간 빅데이터 시각화의 적용이 가지는 효용성을 살펴보고 시사점을 고찰하였다. 둘째, 공간 빅데이터 동태적 시각화 모형을 개발하고, 제주도를 대상으로 실증적용을 수행하였다. 도시 공간의 현황 파악과 문제 해결을 지원하기 위한 데이터의 시각화 자체는 새로운 것은 아니다. 그러나 빅데이터와 새로운 시각화 툴을 활용할 경우 기존의 방식과는 차별되는 결과를 도출할 수 있다. 본 연구는 위와 같은 내용을 바탕으로 향후 계획지원을 위한 데이터 시각화의 활용성을 체계적으로 검토하고, 이를 확대하기 위한 방안을 구축하는데 필요한 시사점을 제시하였다.

• 한국지리정보학회지
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• 제22권3호
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• pp.133-145
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• 2019

우리나라 미래 핵심과제 중 하나인 자율주행자동차를 지원하는 정밀도로지도에 대한 구축과 연구가 민간, 국가 차원에서 빠른 실용화를 목표로 적극적으로 추진되고 있다. 이러한 상황에서 정밀도로지도의 변화정보의 최신성 확보 및 갱신에 대한 방법이 핵심과제로 부각되고 있다. 따라서 이 연구에서는 정밀도로지도의 효율적인 갱신체계 정립 방안을 마련하기 위하여 도로의 종류, 도로변화의 원인과 연간 변화율 등의 현황과 정밀도로지도 관련 시스템과 정밀도로지도 갱신체계 구축을 위한 고려사항을 분석하였다. 이러한 현황분석을 토대로 정밀도로지도의 전각문자, 내용, 지역 등을 고려하여 도로변화 정보의 수집 탐지 방법과 정밀도로지도의 갱신체계를 단기적 방안과 중장기적 방안으로 제시하였다. 현재는 기술적, 시스템적 제한으로 인해 단기적 갱신체계를 적용해야 할 것으로 판단되었으며 향후에는 기술개발과 업무협조 체계 구축 등 시스템적 개선을 통해 중장기 갱신체계 방안을 조속히 도입해 효율적이고 실시간적인 정밀도로지도 갱신체계를 구축해야 할 것으로 판단된다.