• The Korean Journal of Ecology
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• 제18권2호
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• pp.275-283
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• 1995

Seral changes in floristic composition during abandoned field succession after shifting cultivation was investigated in eastern Kangwon-Do, Korea. According to the DCA ordination based on the floristic composition, sere of the dominant species was shown as follows: Digitaria sanguinalis, Persicaria spp., Commelina communis etc. in the annual stage (0∼1 years); Erigeron spp., Artemisia spp., Rubus crataegus etc. in the Erigeron-Artemisia stage (2∼6 years); Pinus densiflora, Salix spp., Miscanthus sinensis, Arundinella hirta etc. in the shrub - earlier tree stage (10∼25 years); P. densiflora, Quercus mongolica, Spodiopogon sibiricus etc. in the mid-tree stage (25∼50 years); Q. mongolica, Tripterigium regelii, Lespedeza maximowiczii, Carex siderosticta etc. in the latter tree stage (50∼80 years). In mid-tree stage, size-frequency distribution of P. densiflora was plotted as a platycurtic curve and that of Q. mongolica as a reverse J-shaped curve, which meant P. densiflora was thinned through interspecific competition and Q. mongolica was regenerated by itself in the later tree stage.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2006년도 추계학술대회 논문집 Vol.19
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• pp.334-335
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• 2006

Solid insulation exposed to voltage is degraded by electrical tree process. And the degradation of the insulation is accelerated by voltage application. For this experimental, specimen of electrical tree model is made by XLPE (cross-linked polyethylene). And the size of the specimen is 7*5*7 $mm^3$. Distance of needle and plane is 2 mm. Voltages applied for acceleration test are 12 kV to 15 kV. And distribution characteristic of degraded stage is studied too. As a PD detecting and data process, discharge data acquire from PD detecting system (Biddle instrument). The system presents statistical distribution as phase resolved. Moreover the processing time of electrical tree is recorded to know the speed of degradation according to voltage.

• Spatial Information Research
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• 제19권2호
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• pp.71-76
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• 2011

본 논문에서는 특정 지역의 전력 소비 데이터를 이용하여 safe와 non-safe 전력 부하 라인의 차이를 분석하여 정의하고, 출현패턴을 사용하여 잠재되어 있는 non-safe라인을 식별하기 위하여 제한된 메모리에서 효율적으로 패턴을 찾을 수 있는 TFP-tree 기반의 점진적 출현패턴 마이닝 알고리즘을 제안한다. 특히, 두 개의 다른 최소 지지도 값을 사용하여 전력 소비 데이터와 같은 대용량 데이터에서의 마이닝 문제를 해결한다.

• 전기학회논문지
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• 제58권11호
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• pp.2292-2298
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• 2009

In this paper, the lossy image compression algorithm using the quad tree and the bandlets is proposed. The proposed algorithm transforms input images by the discrete wavelet transform (DWT) and represents the geometrical structures of high frequency bands using the bandlets with a 8 block- size. In addition, the proposed algorithm searches the position information of the significant coefficients by using the quad tree algorithm and computes the magnitude and the sign information of the significant coefficients by using the Embedded Image Coding using Zerotrees of Wavelet Coefficients (EZW) algorithm. The compression result by using the quad tree algorithm improves the PSNR performance of high frequency images up to 1 dB, compared to that of JPEG-2000 algorithm and that of S+P algorithm. The PSNR performance by using DWT and bandlets improves up to 7.5dB, compared to that by using only DWT.

• Environmental Engineering Research
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• 제14권2호
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• pp.102-110
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• 2009

Application of artificial intelligence (AI) approaches in eco-environmental modeling has gradually increased for the last decade. Comprehensive understanding and evaluation on the applicability of this approach to eco-environmental modeling are needed. In this study, we reviewed the previous studies that used AI-techniques in eco-environmental modeling. Decision Tree (DT) and Artificial Neural Network (ANN) were found to be major AI algorithms preferred by researchers in ecological and environmental modeling areas. When the effect of the size of training data on model prediction accuracy was explored using the data from the previous studies, the prediction accuracy and the size of training data showed nonlinear correlation, which was best-described by hyperbolic saturation function among the tested nonlinear functions including power and logarithmic functions. The hyperbolic saturation equations were proposed to be used as a guideline for optimizing the size of training data set, which is critically important in designing the field experiments required for training AI-based eco-environmental modeling.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Spatial Information Research
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• 제19권2호
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• pp.47-56
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• 2011

대표적인 트리 기반 공간 인덱스 구조는 크게 R-Tree와 같은 데이타 분할 기반 인덱스 구조와 KD-Tree와 같은 공간 분할 기반 인덱스 구조로 구분되며, 최근에는 이들의 장점을 결합한 하이브리드 인덱스 구조에 대한 연구가 활발히 진행되고 있다. 그러나, 기존 연구에서는 공간 객체가 삽입되는 노드의 분할 경계 확장이 다른 이웃 노드에 연쇄적으로 전파되어 노드간 겹침이 증가하고 질의 처리 비용이 높아지는 문제가 있다. 본 논문에서는 이러한 문제를 해결하기 위하여 효율적인 질의 처리를 위한 하이브리드 인덱스 구조인 SQR-Tree를 제시한다. SQR-Tree는 크기를 갖는 공간 객체 처리에 적합하도록 Quad-Tree를 확장한 SQ-Tree(Spatial Quad-Tree)와 SQ-Tree의 리프 노드마다 연계되어 실제로 공간 객체를 저장하는 R-Tree가 결합된 인덱스 구조이다. SQR-Tree는 노드마다 하위 노드를 포함하는 MBR을 가지고 있기 때문에 노드의 분할 경계 확장이 독립적으로 이루어지도록 하여 노드간 겹침을 줄였다. 그리고 SQR-Tree에서 공간 객체는 분할된 데이타 공간마다 존재하는 여러 R-Tree에 분산 저장되며 SQ-Tree가 분할된 데이타 공간을 식별하는 기능을 수행한다. 따라서 공간 질의 처리시 질의 영역에 해당하는 R-Tree만 접근하면 되기 때문에 질의 처리 비용을 줄일 수 있다. 마지막으로 실험을 통해 SQR-Tree의 우수성을 입증하였다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권12호
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• pp.623-634
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• 2016

현존하는 빈발 패턴 마이닝 방법은 대부분 시간 효율성을 목표로 하고, 물리적 메모리 사용에 매우 의존적이다. 하지만 빅데이터 시대가 도래함에 따라 실제 세상의 데이터베이스는 급속도로 증가하고 있으며, 그에 따라 기존의 방법으로 현실적인 거대한 양의 데이터를 마이닝하기에 물리적 메모리 공간이 부족한 실정이다. 이러한 문제를 해결하기 위해, 빈발 패턴 마이닝의 메모리 의존성을 줄이기 위한 보조저장장치 기반의 연구들이 진행되었으나, 메모리 기반의 방법들에 비해 처리 시간이 너무 많이 소비된다는 한계가 있었다. 따라서 확장성을 가지며, 기존의 디스크 기반의 방법들에 비해 시간효율성을 높인 새로운 빈발 패턴 마이닝이 필요하게 되었다. 본 논문에서는 빅데이터로부터 빈도 아이템 집합들을 마이닝하기 위해 메모리와 디스크를 함께 사용하는 스택 기반의 새로운 접근법인 PPFP 알고리즘을 제안하였다. PPFP는 빈발 패턴 마이닝 접근법 중 가장 인기 있고 효율적인 접근법 중 하나인 FP-growth를 기반으로 하고 있다. PPFP 마이닝 방법은 다음과 같이 두 단계로 진행된다. (1) IFP-tree 구축: FP-tree를 생성한 후, 새로운 인덱스 번호 부여 방법으로 FP-tree의 각 노드에 인덱스 번호를 부여하고, 이 인덱스 번호가 부여된 FP-tree(IFP-tree)를 테이블로 변환하여(IFP-table) 디스크에 저장한다. (2) PPFP 알고리즘을 이용한 빈발 패턴 마이닝: 스택 기반의 PUSH-POP 방식으로 패턴을 확장시켜 나가며 빈발 패턴을 마이닝한다. 이러한 방식을 통해 메모리 기반의 방법에 비해 반복적으로 많은 시간이 소모되는 연산에 매우 적은 양의 메모리를 활용하여 확장성과 함께 시간효율성 또한 향상시킬 수 있었다. 그리고 기존의 연구 방법들과 비교 실험을 통해 새로운 알고리즘의 성능을 증명하였다.

• 한국조경학회지
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• 제26권2호
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• pp.194-206
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• 1998

In 1977, Local governments' planting regulations for the development projects were established in accordance with the revised building law in Korea. A landscaped area, planting densities of trees and shrubs, a percentage of evergreen plants, minimum tree size and species were prescribed in the planting regulations. But the clauses for an excessive planting density and a high ratio of evergreen trees that the regulations includes, have been gradually in the way to a creative planting design, and raise a problem of poor growth of trees an a disordered planting landscape. Therefore, in this study the present planting regulations of 124 local governments throughout the country were analyzed and compared with 13 foreign local governments' of 4 countries ; Japan, the United States of America, Canada and Singapore. And the linitations and characteristics of the regulations are drawn as follows ; 1. The regulations focus on controlling the green spaces and plantings by quantitative methods such as controlling the number of trees and the landscaped area, which are inadequate for estimating the crown coverage of mature trees, and which areinadequate for estimating the crown coverage of mature trees, and implementing the function of polantings and the use of green spaces. 2. Minimums of tree densities are higher than those of foreign countries, especially higher about 10 times to 100 times than those of the United States of America. 3.Excessive number of evergreen trees and fruit trees should be planted under the present planting regulations, that results in constricting the creativity in planting design. 4. An article for using specific tree size, 2.0ms over in height makes it difficult to use a wide variety of different sizes of trees. And there is no incentive measures when larger trees are planted. To enhance the quality of green spaces and plantings, it is needed that the function and locating of green spaces and plantings have to be emphasized, and the planting density should be concerned about the mature tree size. The incentive measure to use various sizes of trees is also needed, and the regulations to use excessive number of evergreen trees or fruit trees should be loosened.

• Journal of Ecology and Environment
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• 제43권3호
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• pp.320-331
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• 2019

Background: Dioecious plant species having both male and female plants have been investigated regarding sex-related characteristics such as sex ratio, sex-differential resource requirements, and spatial segregation of the sexes. Habitat loss and fragmentation are major threats to the survival of plant populations, but dioecious species are particularly more prone to such habitat degradation than non-dioecious species because of their dimorphic sexual system. We examined the sex-related demographics of two Ilex cornuta populations being different regarding land use history. Methods: During 2016-2017, we examined I. cornuta trees with a basal diameter ${\geq}1.5cm$ in the Yongsu-ri population (YS population) and the Gotjawal Provincial Park population (GP population). Plant sex (male, female, or unsexed) was identified. The tree size (basal diameter and height of the main stem), clonal production (the ramet numbers per genet), and vitality for each clone were measured. The associations between population, sex, tree size, clonal production, and vitality were examined using ANOVAs and contingency table analyses. Finally, point pattern analyses using O-ring statistics were conducted to assess spatial patterns. Results: Upon excluding unsexed trees, the YS population with 74 trees was significantly male-biased (0.66), while the GP population with only 26 trees had a 1:1 sex ratio. In both populations, males and females did not differ in tree size. Although the mean number of ramets differed significantly between populations, females tended to produce more ramets than males. The proportion of weak trees was significantly higher in the YS than in the GP population. Neither population showed evidence of spatial segregation of the sexes. Conclusions: The two populations of dioecious I. cornuta are characterized by the small number of trees and relatively high frequencies of non-reproductive trees. Both indicate that these populations are quite susceptible to environmental and genetic stochasticity. On the other hand, the differences between populations in sex ratio, clonal production, and vitality suggest that conservation efforts for I. cornuta need to be population-specific. In order to help recover and enable this vulnerable species to persist, it is necessary to find ways to enhance their sexual reproduction and simultaneously reduce habitat disturbances due to anthropogenic activities.