• Korean Journal of Fisheries and Aquatic Sciences
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• v.18 no.3
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• pp.214-218
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• 1985

A survey was made to determine seasonal variation of histamine, total volatile base and trimethylamine levels in a number of fresh fish and canned fish products as available through present distribution systems in Seoul area in order to assess potential danger of histamine poisoning related problems. Data obtained indicated that those products as available in present distribution systems should present no potential danger of histamine poisoning related problems.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3952-3963
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• 2000

This paper considers the WRA(Wavelength and Houting Assignment) problem on all-optical tree networks using WDM(Wavelength Division Multiplexing). Each link between a pair of request nodes on all optical networks is assigned different wavelengths because of technical constraint. On the basis of this, we give an polynomial time algorithm to assign wavelengths to the all patbs of a arbitrary tree network using divide and conquer method. The time complexity of this algorithm is O(Q. R), in which Q is the request nodes for all to'all communication in a tree topology and U is the maximum number of wavelength. Also we implemented our algorithm using C in Pentium II 233MHz and analyzed performance results.

• Journal of Korea Spatial Information System Society
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• v.7 no.3 s.15
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• pp.55-65
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• 2005

This paper presents a bulk insertion technique for efficiently inserting data items. Traditional moving object database focused on efficient query processing that happens mainly after index building. Traditional index structures rarely considered disk I/O overhead for index rebuilding by inserting data items. This paper, to solve this problem, describes a new bulk insertion technique which efficiently induces the current positions of moving objects and reduces update cost greatly. This technique uses buffering technique for bulk insertion in spatial index structures such as R-tree. To analyze split or merge node, we add a secondary index for information management on leaf node of primary index. And operations are classified to reduce unnecessary insertion and deletion. This technique decides processing order of moving objects, which minimize split and merge cost as a result of update operations. Experimental results show that this technique reduces insertion cost as compared with existing insertion techniques.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.15-18
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• 2004

이동 객체를 효율적으로 처리하기 위해 여러 가지 색인 기법들이 제안되었다. 이들 중 3D R-tree와 같은 색인 기법은 시간과 공간을 동일한 차원으로 생각하고 있으나, 실제로 이 두 차원은 단위와 성격이 다르므로 분리해서 처리해야 한다. 특히 본 논문에서 고려하는 환경은 실내와 같은 한정된 공간이므로, 이런 환경에서는 시간과 공간이 같이 성장하는 것이 아니라 공간은 한정되어 있는 반면 시간 차원만이 성장한다. 따라서 R-tree와 1차원(시간차원)의 TB-tree 두 개의 색인을 유지하여, 공간정보와 고정된 객체는 R-tree에, 시간 정보와 이동 객체는 TB-tree에 저장하는 시공간 분리 트리(STS-tree : Separation of Time and Space tree)를 제안한다.

• Applied Biological Chemistry
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• v.25 no.4
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• pp.211-217
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• 1982

Ginsenosides in epidermis·cortex(EC) and xylem-pith(XP) of main body of Panax ginseng(var. atropurpureacaulo) root were investigated in relation to dark purple area on stem. Pattern of ginsenosides, ratio of protopanaxatriol(PT) to diol(PD) and total ginsenoside content were significantly different between EC ana XP, and not related with stem color. The increasing trend of total ginsenosides with decreasing in purple area on stem needs to be tested with greater sample size. The order of ginsenoside content was $Rb_1>Rg_1>Re>Rc>Rg_2>Rb_2>Rf>Rd$ for EC, $Rg_1>Rb_1>Rg_2>Re>Rb_2>Rc>Rf>Rd$ for XP. PT/PD was 1.08 for EC,1.95 for XP. Since total ginsenoside content was 3 times higher in EC than in XP and weight of two parts was almost same, the content of ginsenosides of main body mostly depends on those of EC.

• Journal of KIISE:Databases
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• v.31 no.1
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• pp.30-38
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• 2004

In many scientific and commercial applications such as Earth Observation System (EOSDIS) and mobile Phone services tracking a large number of clients, it is a daunting task to archive and index ever increasing volume of complex data that are continuously added to databases. To efficiently manage multidimensional data in scientific and data warehousing environments, R-tree based index structures have been widely used. In this paper, we propose a scalable technique called seeded clustering that allows us to maintain R-tree indexes by bulk insertion while keeping pace with high data arrival rates. Our approach uses a seed tree, which is copied from the top k levels of a target R-tree, to classify input data objects into clusters. We then build an R-tree for each of the clusters and insert the input R-trees into the target R-tree in bulk one at a time. We present detailed algorithms for the seeded clustering and bulk insertion as well as the results from our extensive experimental study. The experimental results show that the bulk insertion by seeded clustering outperforms the previously known methods in terms of insertion cost and the quality of target R-trees measured by their query performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.815-816
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• 2009

Owing to the development of computer technologies, to process data derived from various sensors is recently demanding. It is also increasing to demand the moving object based servies like the services of location based and mobile application services. That's why it is needed the processing of visualizing the services for education aspects. In this paper, we show the implemented results about $R^*$ tree algorithm to insert, delete and search a object in two dimension environment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.171-174
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• 2018

A new design method for the two axis servo system using the TRIZ proposes. A noble design scheme between the two servo configurations was obtained after application of the TRIZ contradiction analysis.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.231-233
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• 1999

시공간 상에서 움직이는 물체의 이동경로는 일반적으로 MBR이 매우 크므로, R-tree 계열의 다차원 인덱싱 기법을 적용할 때 질의시 겹침 영역이 많이 발생하는 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 time slice에 따라 이동경로의 MBR을 나누어 별도의 인덱스에 저장하는 기법을 제안한다. 이 기법을 적용하면 MBR의 평균 크기가 줄어들어 인덱스 페이지 및 데이터 페이지 접근횟수를 감소시킬 수 있을 뿐만 아니라, 시간이 지나 질의가 매우 드물게 수행되는 데이터에 대한 엔트리를 삭제하여 검색 범위를 줄이는 것이 용이하다. 또한 본 논문에서는 질의 성능을 최적화하기 위해서 time slice를 어떻게 설계해야 하는지에 대해서도 논의한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.4
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• pp.259-267
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• 2013

GIS-based web map service is all the more accessible to the public. Among others, location query services are most frequently utilized, which are currently restricted to only one keyword search. Although there increases the demand for the service for querying multiple keywords corresponding to sequential activities(banking, having lunch, watching movie, and other activities) in various locations POI, such service is yet to be provided. The objective of the paper is to develop the k-IPS algorithm for quickly and accurately querying multiple POIs that internet users input and locating the search outcomes on a web map. The algorithm is developed by utilizing hierarchical tree structure of $R^*$-tree indexing technique to produce overlapped geometric regions. By using recursive $R^*$-tree index based spatial join process, the performance of the current spatial join operation was improved. The performance of the algorithm is tested by applying 2, 3, and 4 multiple POIs for spatial query selected from 159 keyword set. About 90% of the test outcomes are produced within 0.1 second. The algorithm proposed in this paper is expected to be utilized for providing a variety of location-based query services, of which demand increases to conveniently support for citizens' daily activities.