• 한국산학기술학회논문지
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• 제13권11호
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• pp.5311-5316
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• 2012

뇌 영상분석 알고리즘 적용에 따른 뇌혈류의 변화를 관찰하기 위해 정상 성인 13명(평균연령 39세)을 대상으로 뇌혈류 단 광자 단층촬영(Single Photon Emission Computed Tomography, SPECT)을 시행하였다. 획득된 영상을 여과후 역투영법(Filtered Back Projection, FBP)과 반복적 방법(Ordered Subset Expectation Maximization, OSEM)으로 영상을 재구성하여 통계학적 파라미터 뇌지도법으로 비교하여 방사성 의약품의 뇌 분포양상을 확인하였으며, 혈류의 변화는 크러스트(Cluster)로 표현시켰다. 이에 대한 결과로는 여과후 역투영법이 반복적 방법보다 섭취가 증가된 부위는 우측 전두엽, 대뇌회전하부, 외핵, 좌측대뇌 변엽과 대상이랑이며, 섭취가 감소된 부위는 좌측전두엽, 중간전두이랑, 하측전두이랑, 중심전이랑, 하측전두이랑, 중심전이랑이었다. 이는 영상재구성시 적용되는 알고리즘에 따라 뇌 혈류분포가 다르게 나타난 것을 크러스트(Cluster)로 표현시켰고, 명확한 시각적 표시가 가능하도록 뇌 확룔 지도로 보여주는데 의의가 있다.

• 센서학회지
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• 제23권2호
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• pp.99-104
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• 2014

Sensor arrays based on chemical sensors produce multidimensional patterns of data that may be used discriminate between different chemicals. For the human observer, visualization of multidimensional data is difficult, since the eye and brain process visual information in two or three dimensions. To devise a simple means of data inspection from the response of sensor arrays, PCA (Principal Component Analysis) or Sammon's nonlinear mapping technique can be applied. The PCA, which is a well-known statistical method and widely used in data analysis, has disadvantages including data distortion and the axes for plotting the dimensionally reduced data have no physical meaning in terms of how different one cluster is from another. In this paper, we have investigated two techniques and proposed a combination technique of PCA and nonlinear Sammom mapping for visualization of multidimensional patterns to two dimensions using data sets from odor sensing system. We conclude the combination technique has shown more advantages comparing with the PCA and Sammon nonlinear technique individually.

• 대한원격탐사학회지
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• 제5권2호
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• pp.109-122
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• 1989

The ISODATA method, which is one of the most famous of the square-error clustering methos, has been applied to two Chungju multivariate data sets in order to evaluate the effectiveness of the regional lithological mapping. One is an airborne radiometric data set and the other is a mixed data set of the airborne radiometric and Landsat TM data. In both cases, the classification of the Bulguksa granite and the Kyemyongsan biotite-quartz gneiss are the most successful. Hyangsanni dolomitic limestone and neighboring Daehyangsan quartzite are also classified by their typical lowness of the radioactive intensities, though it is still confused with some others such as water-covered areas and nearby alluvials, and unaltered limestone areas. Topographically rugged valleys are also classified as the same cluster as above. This could be due to unavoidable variations of flight height and the attitude of the airborne system in such rugged terrains. The regional geological mapping of sedimentary rock units of the Ockchun System is in general confused. This might be due to similarities between different sediments. Considarable discrepancies occurred in mapping some lithological boundaries might also be due to secondary effects such as contamination or smoothing in digitizing process. Further study should be continued in the variable selection scheme as no absolutely superior method claims to exist yet since it seems somewhat to be rather data dependent. Study could also be made on the data preprocessing in order to reduce the erratic effects as mentioned above, and thus hoprfully draw much better result in regional geological mapping.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(2)
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• pp.361-364
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• 2002

In this paper, we consider the problem of CLB based CPLD technology mapping for power minimization in combinational circuit. The problem has been previously proved to be NP-hard, and hence we present an efficient heuristic algorithm for it. The main idea of our algorithm is to exploit the "cut enumeration" and "feasible cluster" technique to generate possible mapping solutions for the sub-circuit rooted at each node. However, for the consideration of both run time and memory space, only a fixed-number of solutions are selected and stored by our algorithm. To facilitate the selection process, a method that correctly calculates the estimated power consumption for each mapped sub-circuit is developed. The experimental results show that our approach is shown a decrease of 30.5% compared with DDMAP and that of 15.63% for TEMPLA in the Power consumption.

• 한국환경과학회지
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• 제28권11호
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• pp.1027-1032
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• 2019

This study aimed to analyze the prioritized area for the functional change of agricultural reservoir according to the rapid urbanization and social changes through the mapping method. Changwon-si, Gimhae-si, and Jinju-si in Gyeongnam province were selected as the study area, considering the results of land-use and cluster analysis. As the planning unit of management area, watershed was used and land coverage map from 1975 to 2015 were analyzed for changes of land use. The reduction ratio (%) of farmland was calculated for identifying the changes in 2013 compared to 1975. As a result, the reduction ratio was 11.9% for Changwon-si, 12.2% for Gimhae-si and 9.3% for Jinju-si, and the number of watershed having functionally reduced potential-area was relatively high in the proportion to the city size.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 1999년도 한국우주과학회보 제8권2호
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• pp.109-109
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• 1999

No Abstract, See Full Text

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.285-292
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• 2002

A cluster tool for semiconductor manufacturing is an integrated device that consists of several single wafer processing modules and a wafer transport module based on a robot. The distributed module controllers are integrated by an inter-module communication network and coordinated by a centralized controller, called a cluster tool controller (CTC). Since the CTC monitors and coordinates the distributed complex module controllers for advanced process control, complex commuication messaging and services between the CTC and the module controllers are required. A SEMI standard, CTMC(Cluster Tool Module Communication), specifies application-level communication service requirements for inter-module communication. We propose the use of high-level fieldbuses, for instance. PROFIBUS-FMS, for implementing CTMC since the high-level fieldbuses are well suited for complex real-time distributed manufacturing control applications. We present a way of implementing CTMC using PROFIBUS-FMS as the communication enabler. We first propose improvements of a key object of CTMC for material transfer and the part transfer protocol to meet the functional requirements of modem advanced cluster tools. We also discuss mapping objects and services of CTMC to PROFIBUS-FMS communication objects and services. Finally, we explain how to implement the mappings.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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• pp.233-237
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• 2006

This study proposes an innovative measure for evaluating the performance of text clustering. In using K-means algorithm and Kohonen Networks for text clustering, the number clusters is fixed initially by configuring it as their parameter, while in using single pass algorithm for text clustering, the number of clusters is not predictable. Using labeled documents, the result of text clustering using K-means algorithm or Kohonen Network is able to be evaluated by setting the number of clusters as the number of the given target categories, mapping each cluster to a target category, and using the evaluation measures of text. But in using single pass algorithm, if the number of clusters is different from the number of target categories, such measures are useless for evaluating the result of text clustering. This study proposes an evaluation measure of text clustering based on intra-cluster similarity and inter-cluster similarity, what is called CI (Clustering Index) in this article.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2009년도 한국우주과학회보 제18권2호
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• pp.36.1-36.1
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• 2009

We investigate the molecular and atomic gas properties of 20 Virgo cluster spiral galaxies by comparing with optical properties to assess the effect of the Virgo environment on the interstellar media of the Virgo disks. CO maps from FCRAO On-The-Fly (OTF) mapping survey and HI maps from VIVA (VLA Imaging of Virgo spirals in Atomic gas) are shown, and radial properties of molecular and atomic gas are compared. H2 deficiency along with HI is investigated, and gas evolution history of the Virgo cluster spirals is also examined.

• 방송공학회논문지
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• 제16권6호
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• pp.1047-1057
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• 2011

본 논문에서는 K-means clustering 알고리즘을 이용하여 영상을 cluster로 나눈 후 각 cluster에 대하여 히스토그램 변형기법을 적용하여 만든 밝기 변환 함수로 영상의 동적 범위를 확장시키는 방법과 히스토그램 변형에 필요한 파라미터를 자동으로 조절하는 방법을 제안한다. 제안하는 방법은 기존의 전역적 히스토그램 변형기법의 한계점인 지역적 밝기 개선이 어렵다는 단점을 극복할 수 있을 뿐 아니라 밝기 변환함수의 파라미터를 자동적으로 조절할 수 있어서 수동 조절 없이 고성능의 화질 개선이 가능하다. 제안하는 방법이 기존 방법에 비해 성능이 우수함은 시뮬레이션 및 실험을 통해 입증하였다.