• 한국환경생태학회지
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• 제25권1호
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• pp.47-56
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• 2011

본 연구는 기후변화에 따른 한반도 난온대 상록활엽수의 분포변화와 CT분석을 이용하여 난온대 상록활엽수의 분포를 규정하는 기후요인과 분포적지를 밝히는 것을 목적으로 실시하였다. CT분석을 통해 구축된 한반도 난온대 상록활엽수 분포 모델(EG-model)에서 TMC(최한월최저기온)가 분포를 규정하는 주요 요인으로 작용하였으며, TMC(최한월최저기온)의 $-5.95^{\circ}C$이상을 난온대 상록활엽수의 분포적지로 하고 있다. 이러한 TMC값을 CMT(최한월평균기온)으로 환산한 값인 $-1.7^{\circ}C$는 동아시아 지역 상록활엽수림의 내성한계 온도인 최한월평균기온 $-1^{\circ}C$다 약간 낮은 것으로 분석되었다. 한반도의 난온대 상록활엽수는 최한월최저기온(TMC) $-5.95^{\circ}C$이상의 따듯한 지역에서는 하계강수량 (PRS)이 826.5mm이상인 지역에서, 최한월최저기온(TMC) $-5.95^{\circ}C$미만의 추운 지역에서는 하계강수량이 1219mm이상인 기후조건에서 높은 분포확률을 나타내었다. 이러한 분포경향은 일본의 난온대 상록활엽수의 분포경향과 비슷하였다. 또한, 난온대 상록활엽수는 한반도의 기온상승에 따라 고위도 및 남부내륙으로 분포를 확대하고 있으며 난온대 상록활엽수의 북방한계선 변화를 시사하고 있다.

• 정보처리학회논문지D
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• 제12D권6호
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• pp.829-836
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• 2005

정확한 객체 분류를 위한 분리 기준을 지정하기 위한 방법은 의사결정수들(decisions trees) 사이에 주요한 이슈이다. 이 논문은 최적의 분리 지점을 찾기 위해 분류에 대한 새로운 분리방법을 기술하고 있다. 모든 시작점 값들(threshold values)을 검색함으로 제공되는 기존의 분리방법들과 다르게, 이 논문에서는 미리 지정된 인터벌들의 확률을 기반으로 하는 분리방법을 제안하고 있다 제시한 방법은 사용자가 인터벌의 수를 조정함으로써 트리의 정확도를 통제할 수 있도록 할 수 있으며, 제기된 분리방법을 이미지 객체 인식하기 위한 특징추출을 수치화함으로써 검색되는 일련의 이미지 데이터에 적용하였다.

• 한국측량학회지
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• 제11권1호
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• pp.55-60
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• 1993

자연 생태계의 일부분으로 발생한 삼림은 공기를 맑게하고 수자원을 보존하며, 번식과 멸종의 방지, 휴식공간 제공 그리고 인간생활 환경을 형성하고 보존시키는 역할을 수행한다. 본 연구에서 원격탐사 자료를 이용하여 삼림식생을 분류한 것은 침염수, 활엽수, 농경지 및 초지, 물의 네 가지로 삼림식생정보를 분류하였다. TM 수치영상을 컴퓨터를 이용하여 분류할 경우, 물지역의 특성 값은 제 4밴드에서 7-13 D.N으로 나타났다. 그러나 침엽수, 활엽수, 농경지 및 초지는 모두 비슷한 특성 값이 나타나므로 화상처리를 해야했다. 화상처리를 제 2밴드와 제 3밴드를 합성한 영상을 비연산처리한 결과, 제 3밴드로부터 활엽수 지역은 72-91의 D.N으로 나타나고, 제 1밴드에서의 침엽수 지역은 l18∼136, 제 3밴드에서의 농경지 및 초지는 96-120의 D.N에서 일치하였다. 또한 최대 우도법으로 분류한 결과와 TM 수치영상의 현지답사에 대한 비교오차를 구한 결과 침엽수, 활엽수, 농경지와 초지 및 물에서 각각 －7.43%, ＋1.89%, ＋7.58%, -2.04%의 분류 정확도를 얻었다. 결론적으로 이 결과는 원격탐사 자료를 이용한 삼림식생분류가 매우 유용한 것임이 입증되었다.

• Journal of the Korean Data and Information Science Society
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• 제21권2호
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• pp.371-377
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• 2010

In this study, we propose two informal hypothesis tests which may be useful in determining the number of trees in a random forest for use in classification. The first test declares that a case is 'easy' if the hypothesis of the equality of probabilities of two most popular classes is rejected. The second test declares that a case is 'hard' if the hypothesis that the relative difference or the margin of victory between the probabilities of two most popular classes is greater than or equal to some small number, say 0.05, is rejected. We propose to continue generating trees until all (or all but a small fraction) of the training cases are declared easy or hard. The advantage of combining the second test along with the first test is that the number of trees required to stop becomes much smaller than the first test only, where all (or all but a small fraction) of the training cases should be declared easy.

• 한국산림과학회지
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• 제31권1호
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• pp.53-61
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• 1976

Though it is not easy for those who study dendrology to memorize all the scientific names of trees, the names remaines in their memory can facilitate the understanding of foreign technical books. The scientific name of a tree indicates characteristics of shape, color, and other aspects of the tree and by analyzing the name we can see common element found in other scientific names of trees. It is helpful to those who want to memorize and study the scientific names of trees if they understand their etymology. The preseut study is the seconds report of the investigation which aims at examining the etymology of the scientific names of native and foreign trees growing in Korea and their original names not only at the habitat but in Japan, China, England, Germany, and France. While the first report, which was made known in Theses Vol. 9. (The City College of Seoul 1975), is the examination of the scientific names of trees belonging to Gymnospermae, the present report is that of scientific names of trees belonging to Piperales: 2 families, 2 genera and 2 species; and trees belonging to Salicales: 1 family, 3 genera, 44 species, 16 varieties, and 3 forms. As the etymology of the scientific names of trees is made clear, this study will help those who want memorize the scientific names and study foreign technical books and it is also useful for international interchange of trees. The classification is depended chiefly on Dendrology by Prof. Lee Tchang-bok and "Plant Resources of Korea" shown in Biblography No. 10; the native names of trees on Jumoku Daizusetsu by Dr. Uehara; and etymology on A source-Book of Biological Names and Terms by E.C. Jager. In the column of etymology of the scientific names for genera, species, varieties and forms, Gr. stands for Greek, L. for Latin, NL. for New Latin, and genit. for genitive.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3286-3300
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• 2016

High Efficiency Video Coding (HEVC) Standard, as the latest coding standard, introduces satisfying compression structures with respect to its predecessor Advanced Video Coding (H.264/AVC). The new coding standard can offer improved encoding performance compared with H.264/AVC. However, it also leads to enormous computational complexity that makes it considerably difficult to be implemented in real time application. In this paper, based on machine learning, a fast partitioning method is proposed, which can search for the best splitting structures for Intra-Prediction. In view of the video texture characteristics, we choose the entropy of Gray-Scale Difference Statistics (GDS) and the minimum of Sum of Absolute Transformed Difference (SATD) as two important features, which can make a balance between the computation complexity and classification performance. According to the selected features, adaptive decision trees can be built for the Coding Units (CU) with different size by offline training. Furthermore, by this way, the partition of CUs can be resolved as a binary classification problem. Experimental results have shown that the proposed algorithm can save over 34% encoding time on average, with a negligible Bjontegaard Delta (BD)-rate increase.

• 대한원격탐사학회지
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• 제26권6호
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• pp.705-719
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• 2010

We investigated the speckle filtering effect in supervised classification of the C-band polarimetric Ground Based SAR image data. Wishart classification method was used for the supervised classification of the polarimetric GB-SAR image data and total of 6 kinds of speckle filters were applied before supervised classification, which are boxcar, Gaussian, Lopez, IDAN, the refined Lee, and the refined Lee sigma filters. For each filters, we changed the filtering kernel size from $3{\times}3$ to $9{\times}9$ to investigate the filtering size effect also. The refined Lee filter with the kernel size of bigger than $5{\times}5$ showed the best result for the Wishart supervised classification of polarimetric GB-SAR image data. The result also showed that the type of trees could be discriminated by Wishart supervised classification of polarimetric GB-SAR image data.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.407-410
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• 2006

Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine teaming, pattern recognition, and data mining have considered the decision tree method as an effective solution to their field problems. In this paper, an application of decision tree method to classify the faults of induction motors is proposed. The original data from experiment is dealt with feature calculation to get the useful information as attributes. These data are then assigned the classes which are based on our experience before becoming data inputs for decision tree. The total 9 classes are defined. An implementation of decision tree written in Matlab is used for four data sets with good performance results

• 대한수학회보
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• 제45권1호
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• pp.95-99
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• 2008

It is known that each eigenvalue of a real symmetric, irreducible, tridiagonal matrix has multiplicity 1. The graph of such a matrix is a path. In this paper, we extend the result by classifying those trees for which each of the associated acyclic matrices has distinct eigenvalues whenever the diagonal entries are distinct.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2004년도 추계학술대회
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• pp.63-75
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• 2004

The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. We analyze Gyeongnam social indicator survey data using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.