• Journal of the Economic Geographical Society of Korea
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• v.22 no.1
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• pp.1-17
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• 2019

The purpose of this paper is to examine the spatial characteristics of the medical device industry in accordance with the promotion of regional industrial policy. For this aim, I suggest a research methodology that can examine the productivity of production activity and the profitability of sales activity by the government. As the government's large-scale support is localized by the 'selective support' method, the spatial characteristics of the productivity and profitability of the industry are different. In this context, the results of the review of the government's regional industrial policy in three aspects are as follows. First, the government's support did not come down to increased productivity and profitability. Second, high productivity at the regional level did not necessarily lead to high profitability. Finally, the high market share in terms of profitability did not guarantee high profits. Therefore, it is necessary for the government to reconsider the direction of regional industrial policy so that the link between productivity and profitability can be secured in the examination of the achievement of industrial specificity and policy support.

• Spatial Information Research
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• v.14 no.1 s.36
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• pp.163-176
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• 2006

The concept of 'spatial association' explains spatial distribution pattern of geographical phenomenon based on similarity with neighborhoods, as in the Tobler's Law of Geography: 'Everything is related to everything else, but near things are more related than distant things.' In this study, we develop a time-series exploratory analysis tool for discovering temporal patterns of spatial association by combining spatial statistics and geo-visualization, and thus present a possibility to support spatial decision-making process. As for the spatial proximity weight matrix indispensable to measuring global and local spatial association, we employ a variety of flexible weighting schemes using geometric characteristics of areal unit. In addition, we renovate the existing visualization methods for more effective understanding of the procedures and results of time-series analysis on spatial association: for instance, temporal parallel coordinate plot with box plot, animated map for spatial association, and 3D Moran scatterplot. The feasibility of our system is verified by time-series analysis experiments on the spatial association of land price fluctuation rate for all administrative units in Korea, $1995{\sim}2004$.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.103-116
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• 2017

In this paper, we present the design and implementation of a large-scale qualitative spatial reasoner, which can derive new qualitative spatial knowledge representing both topological and directional relationships between two arbitrary spatial objects in efficient way using Aparch Spark SQL. Apache Spark SQL is well known as a distributed parallel programming environment which provides both efficient join operations and query processing functions over a variety of data in Hadoop cluster computer systems. In our spatial reasoner, the overall reasoning process is divided into 6 jobs such as knowledge encoding, inverse reasoning, equal reasoning, transitive reasoning, relation refining, knowledge decoding, and then the execution order over the reasoning jobs is determined in consideration of both logical causal relationships and computational efficiency. The knowledge encoding job reduces the size of knowledge base to reason over by transforming the input knowledge of XML/RDF form into one of more precise form. Repeat of the transitive reasoning job and the relation refining job usually consumes most of computational time and storage for the overall reasoning process. In order to improve the jobs, our reasoner finds out the minimal disjunctive relations for qualitative spatial reasoning, and then, based upon them, it not only reduces the composition table to be used for the transitive reasoning job, but also optimizes the relation refining job. Through experiments using a large-scale benchmarking spatial knowledge base, the proposed reasoner showed high performance and scalability.

• Journal of the Korean Geographical Society
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• v.41 no.1 s.112
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• pp.1-21
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• 2006

Abstract The purpose of this paper is to analyze production and innovation networks of manufacturers in the rural, long-live areas of Gangwon Jeju and to suggest an ideal regional development model of rural areas in the knowledge-based information age. For this purpose, we compared the areas of Gangwon Jeju with the long-live belt areas in the rural pan of the Honan region and Gwangju Jeonju, the urban part of Honam. The findings from the study are summarized as follows. Firstly, the stronger the local networks in terms of supply of the necessary input materials and labor, the more successful the manufacturing industry is in the given area. Secondly, the more diverse and lasting the networks (in terms of the location of manufacturers, local area and national area) and cooperation agents(businesses, research institutions, the local government, the central government) they have, the more prosperous the manufacturing industry is. These results indicate that the successful development model for rural areas requires that we take the approach of fostering potential innovation capabilities of total areas by fully utilizing their innate resources so as to create an internal cooperative network and further build extensive networks encompassing external entities to create a virtual innovation cluster.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.11
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• pp.1031-1040
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• 2010

Hash join is one of the core algorithms in databases management systems. If a hash join cannot complete in one-pass because the available memory is insufficient (i.e., hash table overflow), however, it may incur a few sequential writes and excessive random reads. With harddisk as the tempoary storage for hash joins, the I/O time would be dominated by slow random reads in its probing phase. Meanwhile, flash memory based SSDs (flash SSDs) are becoming popular, and we will witness in the foreseeable future that flash SSDs replace harddisks in enterprise databases. In contrast to harddisk, flash SSD without any mechanical component has fast latency in random reads, and thus it can boost hash join performance. In this paper, we investigate several important and practical issues when flash SSD is used as tempoary storage for hash join. First, we reveal the va patterns of hash join in detail and explain why flash SSD can outperform harddisk by more than an order of magnitude. Second, we present and analyze the impact of cluster size (i.e., va unit in hash join) on performance. Finally, we emperically demonstrate that, while a commerical query optimizer is error-prone in predicting the execution time with harddisk as temporary storage, it can precisely estimate the execution time with flash SSD. In summary, we show that, when used as temporary storage for hash join, flash SSD will provide more reliable cost estimation as well as fast performance.

• Journal of Korea Water Resources Association
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• v.57 no.2
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• pp.87-97
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• 2024

This study analyzed the water shortage hotspot areas in South Korea using spatial clustering analysis for water shortage estimates in 2030 of the Master Plans for National Water Management. To identify the water shortage cluster areas, we used water shortage data from the past maximum drought (about 50-year return period) and performed spatial clustering analysis using Local Moran's I and Getis-Ord Gi*. The areas subject to spatial clusters of water shortage were selected using the cluster map, and the spatial characteristics of water shortage areas were verified based on the p-value and the Moran scatter plot. The results indicated that one cluster (lower Imjin River (#1023) and neighbor) in the Han River basin and two clusters (Daejeongcheon (#2403) and neighbor, Gahwacheon (#2501) and neighbor) in the Nakdong River basin were found to be the hotspot for water shortage, whereas one cluster (lower Namhan River (#1007) and neighbor) in the Han River Basin and one cluster (Byeongseongcheon (#2006) and neighbor) in the Nakdong River basin were found to be the HL area, which means the specific area have high water shortage and neighbor have low water shortage. When analyzing spatial clustering by standard watershed unit, the entire spatial clustering area satisfied 100% of the statistical criteria leading to statistically significant results. The overall results indicated that spatial clustering analysis performed using standard watersheds can resolve the variable spatial unit problem to some extent, which results in the relatively increased accuracy of spatial analysis.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.40 no.2
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• pp.47-55
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• 2003

In this paper, the performance of DS-CDMA system with smart antenna is analyzed for different bandwidths (1.25MHz,5MHz) and different channel environments (rural, urban) in wideband multipath channel. For the analysis of smart antenna system, the vector channel having the spatio-temporal correlation is modeled as a time-variant linear filter in time, and each multipath is assumed as a reflective wave from only one direction (only one cluster) in space. Several multipath is within one chip are distingushed into each one and the strongest signal is selected, DS-CDMA system with smart antenna using wider bandwidth present better performance than that using narrow bandwidth. It is shown that the smart antenna is more effective in urban area when using 2D-RAKE receiver.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.191-192
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• 2010

This study classify the every meshes in Busan metropolitan city, based on the building need. The number of the effective meshes is 3289, all of those meshes are databased with simplified 7 building needs. The area for residential, commercial, educational needs occupy 92.4 % among all the areas. To simplify the multiple variables, principal component analysis is performed before the cluster analysis. Ans as the result 5 classification are obtained.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.37-44
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• 2005

최근 들어 개인 휴대 단말기가 보편화되고 GPS와 같은 위치 측정 기술이 발달하면서 이동체의 위치 데이타를 활용한 위치 기반 서비스에 대한 관심이 급증하고 있다. 이러한 위치기반 서비스에서 이용되는 위치 데이타를 관리하기 위해서 일반적으로 단일 노드의 디스크기반 GIS 서버를 사용한다. 그러나, 이동체의 경우 위치의 변화가 매우 빈번하며 대용량이기 때문에 기존의 GIS 서버로는 관리가 어렵다. 그러므로 위치 기반 서비스에서는 이동체의 대용량 위치 데이타를 효율적으로 관리 할 수 있는 위치 데이타 관리 시스템이 요구된다. 따라서 본 논문에서는 이동체의 위치 데이타를 관리하기 위해 제안된 클러스터 기반 분산 컴퓨팅 구조를 갖는 GALIS 아키텍처의 서브 시스템인 SLDS를 확장하여 동적 부하 분산을 지원하는 확장 SLDS를 설계 및 구현하였다. 또한, 실험을 통하여 확장 SLDS가 기존 SLDS에 비하여 더욱 효율적으로 부하 분산을 수행한다는 것을 검증하였다. 본 논문에서 구현한 확장 SLDS는 노드들을 주기적으로 감시하여 위치 데이타를 다수의 노드에 적절히 분산시킴으로써 대용량의 데이타를 효율적으로 관리할 수 있고 시스템의 가용성을 높일 수 있다.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.21-26
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• 2007

최근 이동체의 위치 데이타를 활용한 위치 기반 서비스에 대한 관심이 높아지면서, 보다 효율적인 이동체 위치 데이타 관리 시스템으로 클러스터 기반 분산 컴퓨팅 구조인 GALIS(Gracefully Aging Location Information System)가 제시되었다. 그러나 GALIS의 서브 시스템인 SLDS(Short-term Location Data Subsystem)는 다수의 SDP(Short-term Data Processor) 노드들이 처리한 질의 결과를 SDP 마스터에서 취합하여 클라이언트로 보내는 구조이기 때문에 SDP 마스터에 장애가 발생할 경우 서비스가 중지되고, SDP 마스터에 부하가 집중될 경우 클라이언트로의 응답 시간이 길어지는 문제가 있다. 따라서, 본 논문에서는 기존 SLDS에 이중화를 지원하기 위해 SDP 마스터를 추가하여 기존 SLDS의 안정성을 높이고 이동체 위치 데이타의 질의 처리 성능을 향상시킨 확장 SLDS를 설계 및 구현하였다. 확장 SLDS에서는 두 대의 SDP 마스터를 가동함으로써 한 SDP 마스터에 장애가 발생하더라도 다른 SDP 마스터가 서비스를 계속 제공함으로써 시스템의 안정성을 보장한다. 또한, 확장 SLDS는 두 대의 SDP 마스터가 질의 처리를 분산하여 수행하기 때문에 클라이언트로의 응답 시간을 줄일 수 있다. 마지막으로 확장 SLDS의 장애 테스트와 질의 처리 성능을 실험하였으며, 이러한 실험을 통해 확장 SLDS의 고신뢰성 및 고가용성을 검증하였다.