• 대한공간정보학회지
• /
• 제24권2호
• /
• pp.63-70
• /
• 2016

A housing market in an urban area is not just a single market but a combination of regionally different submarkets. This study begins with a critical mind that previous researches did not consider the spatial autocorrelation of each area where the housings are located. The clustering analysis of housing submarket which considers spatial autocorrelation is performed as it follows. First, 4 housing market attribute variables are reducted to 1 variable by principle component analysis. Then, after calculating $Gi^*max$ by AMOEBA, 7 housing submarkets which have similar characteristics based on $Gi^*max$ are classified. The characteristics of each submarket are investigated, then political implication is deduced as the following. Different level of housing policy should be made to each cluster because each cluster has different level of spatial autocorrelation.

• 한국경제지리학회지
• /
• 제17권4호
• /
• pp.688-701
• /
• 2014

본 연구는 부산신발산업의 집적과 쇠락요인을 산업클러스터의 경쟁력이라는 이론적 관점에서 접근한다. 이를 위해 M. Porter의 클러스터 모델을 재구성한 '산업클러스터의 구성요소와 연계 모형'을 제시하고 그것에 기초하여 부산신발산업의 집적화와 쇠락에 영향을 미친 요인들을 검토하였다. 그리고 신발산업의 부산지역 집적 및 쇠락과정과 현황을 고찰하고 부산지역 신발업체들을 대상으로 관련 설문조사를 실시하였다. 분석 결과, 부산신발산업의 집적 및 쇠락과정은 상당히 복잡한 요인들에 의해 영향을 받았지만, 노동집약적 경공업의 특성상 노동력 등 투입요소부문이 가장 결정적인 영향변수였던 것으로 나타났다. 그리고 1970년대 중반 이후 OEM 생산을 본격화하면서 글로벌 생산네트워크에 편입된 바, 그것에의 진입과 배제과정에서 산업클러스터의 성쇠가 보다 급격히 발생한 것으로 판단된다.

• 디지털융복합연구
• /
• 제14권9호
• /
• pp.309-315
• /
• 2016

무선 모바일 네트워크 환경에서 노드 이동성은 에너지 소모를 가중화시킨다. 본 논문에서는 노드 이동성으로 인한 에너지 소모를 줄이고, 클러스터 멤버 노드의 수명 주기를 연장시키기 위하여 클러스터 기반의 노드 관리 알고리즘 (CNMA: Cluster-based Node Management Algorithm)을 제안한다. 제안된 CNMA 알고리즘은 클러스터 내에서 클러스터 헤더 노드와 멤버 노드들의 이동성을 추적하고 이들의 관계를 주기적으로 모니터링함으로써 에너지 잔량을 분석한다. 그리고 노드들의 상태 전이 과정을 분석하여 클러스터링 분할과 병합을 수행한다. 본 연구의 목적은 노드 이동성으로 발생된 에너지 소모를 최소화하기 위한 것이다. 시뮬레이션 결과를 통하여 제안된 알고리즘이 이동성으로 인한 에너지 소모를 효율적으로 제어할 수 있음을 보이며, 에너지 수명 주기가 향상됨을 보인다.

• ETRI Journal
• /
• 제31권2호
• /
• pp.173-181
• /
• 2009

The growth of the World Wide Web and web-based applications is creating demand for high performance web servers to offer better throughput and shorter user-perceived latency. This demand leads to widely used cluster-based web servers in the Internet infrastructure. Load balancing algorithms play an important role in boosting the performance of cluster web servers. Previous load balancing algorithms suffer a significant performance drop under dynamic and database-driven workloads. We propose an estimation-based load balancing algorithm with admission control for cluster-based web servers. Because it is difficult to accurately determine the load of web servers, we propose an approximate policy. The algorithm classifies requests based on their service times and tracks the number of outstanding requests from each class in each web server node to dynamically estimate each web server load state. The available capacity of each web server is then computed and used for the load balancing and admission control decisions. The implementation results confirm that the proposed scheme improves both the mean response time and the throughput of clusters compared to rival load balancing algorithms and prevents clusters being overloaded even when request rates are beyond the cluster capacity.

• Journal of Information Processing Systems
• /
• 제14권4호
• /
• pp.926-940
• /
• 2018

In clustering-based approaches, cluster heads closer to the sink are usually burdened with much more relay traffic and thus, tend to die early. To address this problem, distance-aware clustering approaches, such as energy-efficient unequal clustering (EEUC), that adjust the cluster size according to the distance between the sink and each cluster head have been proposed. However, the network lifetime of such approaches is highly dependent on the distribution of the sensor nodes, because, in randomly distributed sensor networks, the approaches do not guarantee that the cluster energy consumption will be proportional to the cluster size. To address this problem, we propose a novel approach called CACD (Clustering Algorithm Considering node Distribution), which is not only distance-aware but also node density-aware approach. In CACD, clusters are allowed to have limited member nodes, which are determined by the distance between the sink and the cluster head. Simulation results show that CACD is 20%-50% more energy-efficient than previous work under various operational conditions considering the network lifetime.

• 기술혁신학회지
• /
• 제7권1호
• /
• pp.130-158
• /
• 2004

This paper aims at renewing the regional innovation system being embossed increasingly as a new paradigm to develop the regional area, using the innovational cluster based on the industrial properties and innovative base in Chungbuk province. As shown in the results of many researches, Chungbuk province is evaluated highly in regional innovation capability and is satisfied with the level of speciality in technical industry so that it has a potential capability to build the regional innovation system. However the clustering competition is growing in intensity between regional groups and there is a possible situation centralized by the high-tech industry into the metropolitan, so building the specialized innovation cluster requires advanced policy decisions and efforts in our won way. Ultimately, for the purpose of structuring the regional innovation system, the specialized innovation cluster reflected in regional industry and capability would be essential. It is time for Chungbuk province to prepare policies in order to make the Chungbuk-type innovation cluster which is neither uniform nor omnipresent.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2016년도 추계학술대회
• /
• pp.355-357
• /
• 2016

국내 정보보호 산업 성장률(7.1%)은 이전 3년 성장률(15%)에 비해 하락하였다. 정부는 K-ICT 시큐리티 2020을 발표했다. 정보보호산업의 경쟁력 강화와 창업활성화, 일자리 창출을 추진한다는 정책에 맞춰, ICT 산업과 연계된 사이버보안 클러스터 조성이 필요하다. 본 논문에서는 사이버보안 클러스터 구축을 위한 연구를 한다. 해외의 성공적인 사이버 클러스트를 조사하고 분석한다. 또한 국내에 있는 기존의 클러스트를 분석하고 문제점을 파악한다. 결론적으로 사이버 클러스트를 구축하고 운영하기 위한 방안에 대한 연구와 사이버 클러스트의 기대효과를 연구한다.

• Asian Journal of Innovation and Policy
• /
• 제9권2호
• /
• pp.145-163
• /
• 2020

The COVID-19 is a pandemic that affects all facets of our life and will change many patterns in science technology and innovation. A qualitative study was conducted using Focus Group Interview involving ten industry-academia-research experts with the objective of identifying changes in Korea's national innovation system and science & technology policy after the COVID-19. Eight questions were designed, based on the major components of the national innovation system, such as companies, universities, and research institutes, to discuss the changes in the national innovation system and science & technology policy. Also, keyword analysis and cluster analysis were performed using the network analysis program VOSviewer. It is predicted that, in the wake of the COVID-19, Korea's national innovation system will shift to a new paradigm that is more decentralized, responsive, and autonomous. Furthermore, several policy agendas that can turn these changes into positive momentum of change in science & technology policy are presented.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
• /
• pp.716-720
• /
• 2003

Order-picking process is one of the major operations in warehouses and distribution centers. In low-level picker-to-part system, picker usually combines orders (order batching) as much as possible so that the can pick a set of the combined orders at the same time. For midpoint routing policy, this paper develops an efficient order-batching algorithm based on cluster analysis. The algorithm is compared with a well known existing algorithm in terms of the total travel time and number of batches grouped. The test results show that the proposed heuristic performs better than the other.

• 한국해양공학회지
• /
• 제34권6호
• /
• pp.461-468
• /
• 2020

This study examined how national research and development (R&D) in the domain of logistics has changed recently in the Republic of Korea. We conducted basic statistical analysis and social network analysis on 5,327 logistics-related R&D projects undertaken during 2005-2019. Data for performing these analyses were collected from the R&D database of the National Science and Technology Information Service (NTIS). By constructing a co-occurrence matrix with keywords, we conducted degree and betweenness centrality analysis and visualized the network matrix to display a cluster map. This study presents our observations related to the following findings: (1) the chronical trends of logistics R&D, (2) focused fields of logistics R&D, (3) the relations among keywords, and (4) the characteristics of logistics R&D. Finally, we suggest policy implications to boost and diversify logistics R&D.