• Journal of Forest and Environmental Science
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• 제31권3호
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• pp.164-176
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• 2015

Cyathea gigantea is a tree fern distributed throughout humid tropical regions of northeast India and other parts of the country. However, wild populations of this species are largely affected by various natural and anthropogenic activities. Therefore, an attempt was made to study the population structure and regeneration status of C. gigantea in and around greater Itanagar area of Papum Pare district, Arunachal Pradesh. Altogether 45 patches, ranging from 19.63 to $260m^2$ of area, were randomly sampled to study population structure and regeneration status of the species. Population study showed highest number of youngs in the height class of 0.50-0.75 m while, immatures were recorded highest in the height class of 2.0 to 2.5 m. Majority of the matures belonged to 6-9 m height class while it was recorded maximum in the diameter class of 10-15 cm. Average density of C. gigantea was $0.07individuals\;ha^{-1}$ which varied greatly among different patches with a range of 2 to 14. Significant correlations were found between patch size and density of youngs, immatures, matures and total density. Maximum concentration of youngs was observed in patch size $60-140m^2$, while for immatures, it was highest in patch size $20-160m^2$. Similarly, highest concentration of matures was observed in patch size $20-80m^2$ and $80-180m^2$. Population structure of the total population exhibited inverted pyramid shaped distribution. Population structure consisting of youngs, immatures, matures showed that around 60% patches lack of regenerating individuals which depict very poor natural regeneration of the species. Effective conservation strategies are therefore to be formulated to save C. gigantea from the threat of extinction in near future.

• 한국컴퓨터정보학회논문지
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• 제17권7호
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• pp.45-52
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• 2012

본 논문에서는 다중 클래스 아다부스트 기반의 분류기를 이용하여 엘리베이터 내 군집 밀도를 추정하는 방법을 제안한다. SOM을 사용하는 기존의 방법은 재현성이 떨어지며 충분한 성능을 내지 못한다. 제안한 방법은 GLDM(Grey-Level Dependency Matrix)과 GGDM(Grey-Gradient Dependency Matrix)의 텍스처 특징과 다중 클래스 아다부스트 기반의 분류기를 통해 실내 군집 밀도를 추정한다. 다중 클래스를 분류하기 위해 기존의 아다부스트 알고리즘에서 웨이트 업데이트 식을 변형하여 더 높은 성능의 약한 분류기를 생성하도록 하였다. 군집 밀도는 인원수에 따라 0명, 1~2명, 3~4명, 5명 이상 등 네 가지 클래스로 구분하였다. 엘리베이터 내 영상을 이용한 모의 실험 결과 제안된 방법은 기존의 방법보다 약 20% 정도의 검출률 향상을 나타내었다.

• 공학교육연구
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• 제15권3호
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• pp.47-58
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• 2012

The purpose of this paper is to verify the education effects of program for engineering students and extract the essential components to be included in the learning contents. For this, we investigated the lecture contents critically and analyzed the evaluation result of questionnaire to examine the students' learning satisfaction and learners' needs concerning the effectiveness of course. The survey using two types of questionnaires was conducted with 210 junior and senior students taking lectures of ${\ll}$Presentation and Debate Skills${\gg}$ in the college of engineering at Pusan National University. According to the evaluation result, students experienced various speech education's effects concerning (1) verbal components, (2) non-verbal components, (3) problem solving competence, (4) teamwork skills, etc. On the other side there have been pointed out as problems in the ${\ll}$Presentation and Debate Skills${\gg}$ class, such as (1) a large number of assignments, (2) insufficiency of more refined evaluation method for the individuals and (3) a well-balanced arrangement between 'theory' and 'practice' was needed. However more importantly, the individual students can not do practice sufficiently owing to the large scale of class. Therefore the various and effective ways to help students improve their communicative competence have to be developed further. Finally, there have been extracted several essential components to be included in the class and implications for ameliorating the class were discussed and suggested in detail.

• The Korean Journal of Ecology
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• 제27권2호
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• pp.115-120
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• 2004

Coarse woody debris (CWD, $\ge$ 5 cm in maximum diameter) is an important functional component, especially to nutrient cycling in forest ecosystems. To compare mass and nutrient dynamics of CWD in natural oak forests, a two-year study was conducted at Quercus serrata and Q. variabilis stands in Yangpyeong, Kyonggi Province. Total CWD (snag, stump, log and large branch) and annual decomposition mass (Mg/ha) were 1.9 and 0.4 for the Q. serrata stand and 7.5 and 0.5 for the Q. variabilis stand, respectively. Snags covered 72% of total CWD mass for the Q. variabilis stand and 42% for the Q. serrata stand. Most of CWD was classified into decay class 1 for both stands. CWD N and P concentrations for the Q. variabilis stand significantly increased along decay class and sampling time, except for P concentration in 2002. There were no differences in CWD N concentration for the Q. serrata stand along decay class and sampling time. However, CWD P concentration decreased along sampling time. CWD N and P contents (kg/ha) ranged from 3.5∼4.7 and 0.8∼1.3 for the Q. serrata stand to 22.8∼23.6 and 3.7∼4.7 for the Q. variabilis stand. Nitrogen and P inputs (kg/ha/yr) into mineral soil through the CWD decomposition were 0.7 and 0.3 for the Q. serrata stand and 1.6 and 0.3 for the Q. variabilis stand, respectively. The number of CWD and decay rate were main factors influencing the difference in CWD mass and nutrient dynamics between both stands.

• ALGAE
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• 제31권2호
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• pp.155-165
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• 2016

Green microalgae from the class Chlorophyceae represent a major biodiversity component of eukaryotic algae in continental water. Identification and classification of this group through morphology is a hard task, since it may present cryptic species and phenotypic plasticity. Despite the increasing use of molecular methods for identification of microorganisms, no single standard barcode marker is yet established for this important group of green microalgae. Some available studies present results with a limited number of chlorophycean genera or using markers that require many different primers for different groups within the class. Thus, we aimed to find a single marker easily amplified and with wide coverage within Chlorophyceae using only one pair of primers. Here, we tested the universality of primers for different genes (tufA, ITS, rbcL, and UCP4) in 22 strains, comprising 18 different species from different orders of Chlorophyceae. The ITS primers sequenced only 3 strains and the UCP primer failed to amplify any strain. We tested two pairs of primers for rbcL and the best pair provided sequences for 10 strains whereas the second one provided sequences for only 7 strains. The pair of primers for the tufA gene presented good results for Chlorophyceae, successfully sequencing 21 strains and recovering the expected phylogeny relationships within the class. Thus, the tufA marker stands out as a good choice to be used as molecular marker for the class.

• Asian-Australasian Journal of Animal Sciences
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• 제21권1호
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• pp.35-41
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• 2008

This study was undertaken to investigate the distribution of major histocompatibility complex class II positive (MHC II+) (HLA-DP-like) cells in the cow uterus (cervix, corpus and cornu uteri) and to compare these cells between the estrus and diestrus phases of the estrous cycle. Twenty-nine multiparous cows were used. Tissue samples from the middle of the cervix, the corpus and the right cornu were taken immediately after slaughter at the estrus or diestrus phase. Streptavidin-biotin peroxidase complex staining was used to detect MHC II+ cells. The number of MHC II+ cells per unit area of tissue was counted using image analysis software under a light microscope. Numerous MHC II+ cells were found in the endometrium (cervix, corpus and cornu uteri) in both estrus and diestrus. MHC II+ cells were found in the surface epithelium of the cervix uteri in diestrus, but in the corpus uteri in both estrus and diestrus and in the cornu uteri in estrus. MHC II+ cells were also found freely in the lumen of the glands and between the gland epithelia of the corpus and cornu uteri in both estrus and diestrus. There were also MHC II+ cells in the connective tissue of the myometrium and perimetrium (outside the endometrium) and around the blood vessels. Endothelial cells were frequently positive for MHC II staining. More MHC II+ cells were found in the endometrium than outside the endometrium in both estrus and diestrus (p<0.001). However, there was no difference in the numbers of positive cells between estrus and diestrus either in the endometrium or outside it. These results are the first evidence for HLA-DP-like MHC II+ cells in the bovine uterus. They indicate that antigen presentation by HLA-DP-like MHC II+ cells of the uterus is not influenced by hormonal status.

• 유통과학연구
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• 제14권10호
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• pp.127-136
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• 2016

Purpose - This study investigated the effects of lectures in the English medium (EML) on understanding and learning outcomes. Sixty percent of EML lectures in Korea also use Korean for further support. Thus, this situation needs to clearly distinguish the specific impacts of the EML classes on learning outcomes. Here, we use the same English materials, including PowerPoint slides and video content, given in the Korean and English lectures. The difference between the lectures becomes only whether the lecture is delivered in Korean or English. Thus, we can clearly identify whether the language difference makes any difference in learning outcomes. Research design, data, and methodology - Our sample consisted of 91 students taking an international business course the spring of 2015. All course materials, including textbooks, PowerPoint slides, exams, video, and support content, were presented in English. Survey data and exam results were used. Students filled out their student identification number and name, so we could match the surveys against the exam results. Results - First, results show that whether the lecture was delivered in English or Korean was an important factor when students chose the class. Second, English proficiency related to international business and general English levels were higher in the English class than in the Korean class. However, the understanding of key concepts and reading abilities of international business newspapers were the same for students in both classes. Third, teaching materials and lectures were the most important material for the understanding of key concepts in the business major. Fourth, the exam results showed no difference in performance of the students in the English versus the Korean class. This shows that EML classes were not necessarily detrimental to the understanding of major concepts of the lecture. Thus, it is important that researchers carefully design empirical settings to study the effectiveness of EML. Conclusions - The English lecture can be as helpful for enhancing knowledge in the business major as the Korean lecture. For further research, various English lecture forms can be considered to distinguish the effects of the English lecture.

• 한국정보과학회논문지:소프트웨어및응용
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• 제33권10호
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• pp.886-895
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• 2006

지문분류는 사전에 정의된 클래스로 입력된 지문을 분류하여 자동지문인식 시스템에서 비교해야할 지문의 수를 줄여준다. 지지벡터기계(support vector machine; SVM)는 패턴인식 분야에서 널리 사용되고 있을 뿐만 아니라 지문분류에서도 높은 성능을 보이고 있다. SVM은 이진클래스 분류기이기 때문에 다중클래스 문제인 지문분류를 위해서 적절한 분류기 생성과 결합 기법이 필요하며, 본 논문에서는 일대다(one-vs-all; OVA) 방식으로 구성된 SVM을 naive Bayes(NB) 분류기를 이용하여 동적으로 구성하는 분류방법을 제안한다. 지문분류에서 대표적으로 사용되는 특징인 FingerCode와 지문의 구조적 특징인 특이점과 의사융선을 사용하여 OVA SVM과 NB 분류기를 학습하고, 포섭구조의 분류기를 구성하여 효과적인 지문분류를 수행한다. NIST-4 데이타베이스에 제안하는 방법을 적용하여 5클래스 분류에 대해서 90.8%의 높은 분류율을 획득하였으며, OVA 전략의 SVM을 다중클래스 분류문제에 적용할 때 발생하는 동점문제를 효과적으로 처리하였다.

• 산업경영시스템학회지
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• 제40권4호
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• pp.147-153
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• 2017

The mortality rate in industrial accidents in South Korea was 11 per 100,000 workers in 2015. It's five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won much more than natural disaster losses equivalent to 1.1 trillion won. It requires fundamental changes according to industrial safety management. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spatial analytics and data mining. We collected 119 data on accident data, factory characteristics data, company information such as sales amount, capital stock, building information, weather information, official land price, etc. Through the pre-processing and data convergence process, the analysis dataset was constructed. Then we conducted geographically weighted regression with spatial factors affecting fire incidents and calculated the risk of fire accidents with analytical model for combining Boosting and CART (Classification and Regression Tree). We drew the main factors that affect the fire accident. The drawn main factors are deterioration of buildings, capital stock, employee number, officially assessed land price and height of building. Finally the predicted accident rates were divided into four class (risk category-alert, hazard, caution, and attention) with Jenks Natural Breaks Classification. It is divided by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. As the analysis results were also visualized on maps, the danger zone can be intuitively checked. It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings.

• 한국의학물리학회지:의학물리
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• 제23권4호
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• pp.303-308
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• 2012

뇌정위 방사선수술의 선량계산을 위해 Geant4 기반의 응용 프로그램을 개발 하였다. 선형가속기에서 발생하는 방사선의 스펙트럼을 입력하기 위하여 사전에 실행하여 구한 스펙트럼에 각 에너지별로 구한 가중치를 곱하여 확률밀도를 구하였다. 이를 누적밀도로 변환하여 입력하도록 하였다. 메신저 클래스를 이용하여 다양한 형태의 MLC 조사면을 설정할 수 있도록 하였다. 갠트리와 테이블의 회전을 모사하기 위하여 rotateX와 rotateY라는 회전행렬을 사용하였다. 월드좌표 속에서 갠트리와 테이블을 정의하여 각각 회전을 구현하였다. 실제 환자의 자료는 CT의 dicom 파일에서 픽셀 크기, 매트릭스 크기 등의 정보와 픽셀의 HU를 밀도로 변환한 파일을 생성한 다음 이 파일을 이용 환자의 모델링에 이용 하였다. 환자의 모델링은 팬텀월드 안에 픽셀의 크기에 해당하는 복셀을 정의하고 이 복셀에 픽셀의 밀도와 이 밀도에 해당하는 물질을 할당해주었다.