• 제목/요약/키워드: the standard trees

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임상도 작성시 정밀 영급분석기법 연구 (Analysis Methology of Detailed Stand Age Classes in Forest Type Map)

  • 김정호
    • 한국환경과학회지
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    • 제17권6호
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    • pp.647-655
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    • 2008
  • The purpose of the study is to find the problems related to the current state of the stand age classes and the method of calculating it defined in the existing forest type map and propose the more accurate method of calculating the stand age classes. The object for the study was selected as the forest scattered around the Geesan village Paju city in Kyunggi province. For the accurate method of calculating the stand age classes, such items as, the type of actual vegetation, establishment of grid-type standard area scaled down at the level of the 5% of the actual area, the types, number, DBH and age of tree found by the plots, were investigated. It was found out actual vegetation was divided into the total 24 types and the 20 types of them belonged to the growing tree areas. As the plots, the 125 places(unit area: $400m^2$) were established the types of the trees found were distributed in the range where the minimum was 1 type, the maximum was 9, the mean was $4.4{\pm}1.5$, and the mode was 4 types. The number of the trees found was distributed in the range where the minimum was 17, the maximum was 125, the mean was $4.4{\pm}1.5$, and the mode was 70. In the DBH, the minimum was 6 cm, the maximum was 30 cm, the mean was 13 cm and the mode was 10 cm. As the result of measuring the age of the 5 trees corresponding to the value of the mode in DBH, selected among the dominant species by the plots, less than 20 years was 17 places, the 115 places were included in the range from 21 to 30 years, and more than 31 years was the 6 places.

중부한국의 자연생 소나무의 연 신장성장율에 영향을 미치는 토양요인들에 대한 다요인 분석 (An Analysis of the Relationship of Soil Factors to the Height Growth of Pinus densiflora within the Young Natural Stands in Central Korea)

  • 오계칠
    • Journal of Plant Biology
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    • 제15권4호
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    • pp.1-12
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    • 1972
  • To study on the annual height growth of Pinus densiflora within natural pine stands in central Korea, twenty two pure closed Pinus densiflora stands were selected subjectively in the west-central region of Korea. In each stand twenty trees were chosen randomly. For each tree, abotu ten to fifteen measurements of internodal lengths were made from leader top to trunk base. A total of one hundred thirty four soil samples was collected. Each soil sample was bulked with three subsamples. The ranges of the growth measurements per stand, per tree and per observation were 14.9-35.4cm, 9.0cm-54.4cm and 2.4cm-69.0cm respectively. The total mean value was 23.5cm. The Student-Newman-Keul's tests for the multiple comparison among the mean values of the height growth per stand were very highly significant. The resutls of the analysis of variance of the height growth data for the selected fifteen stands among the twenty two stands indicate that sampling efficiency might be increased to 744% if measurement of the growth were made on fifteen trees per stand from twenty stands instead of twenty trees per stand from fifteen stands. The annual height growths of Pinus densiflora and Pinus koraiensis for the period from 1960 to 1968 were 21.74$\pm$5.29cm (10) and 20.56$\pm$5.59cm (10) respectively. The total means of easily-soluble phosphorus, total nitrogen, loss on ignition and pH for the soil samples were 2.8 ppm, 0.09%, 5.4% and 4.7 respectively. The ranges of those amounts were 18.7-1.7ppm, 0.17-0.05%, 11.6%-3.1%, 3.9-5.1 respectively. The relationship of the annual height growth of P. densiflora to soil was studied in terms of standard partial multiple regression. Among soil properties such as non-capillary pore space, capillary pore space, maximum field capacity, loss on ignition, soil reaction, total nitrogen and easily-soluble phosphoros investigated, the easily soluble phosphorus in one analysis and loss on ignition and soil reaction in the other analysis seem to have significant positive influence on the annual height growth.

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고전계와 저전계에서 천연고무의 전기전도기구 (Natural Rubber Electrical Conduction Mechanism in High and Low Electric Fields)

  • 윤주호;최용성;문종대;이경섭
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2007년도 추계학술대회 논문집
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    • pp.307-308
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    • 2007
  • This work shows the experimental results obtained from ageing at a temperature of 100 C for 48, 70 and 312 h, although the application of AC electrical tension in samples and the measuring of current leakage are presented. The measurements in samples were carried out with samples prepared from the deformulated commercial materials and respectively reformulated into thin films. The obtained results showed the mechanisms of conduction of samples in low and high electric fields. It was also identified an electric tension transition showing that in low fields it prevails the Ohm's law conduction, and in high electric fields it prevails the conduction of space charge limited current (SCLC). These results can support the natural rubber formulation process having as their main objective the reducing of the mechanisms that occur under high conduction current in high electric fields, which leads the material to a dielectric breakdown. Raw Natural rubber in Brazil is extracted from rubber trees (Hevea brasiliensis) in farms in So Paulo State by using some new plantation technology in smaller spaces, with trees placed a few meters from each other. In the Amazon rain forest the rubber trees are found naturally and their spacing may be of hundreds of meters or even kilometers between them. It is necessary to research this raw material from different internationally standard clones to characterize dielectric and electric properties for industrial applications. Moreover, this natural material has a low commercial price when compared to the synthetic ones.

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XLPE 절연케이블의 열화진단 정확도 향상을 위한 VLF tanδ 판정기준 개선 (An Amendment of the VLF tanδ Criteria to Improve the Diagnostic Accuracy of the XLPE-insulated Power Cables)

  • 이재봉;정연하
    • 전기학회논문지
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    • 제59권9호
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    • pp.1644-1651
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    • 2010
  • VLF $tan{\delta}$ diagnosis technology is introduced in IEEE Std 400 and proposed as evaluation criterion in an effective way of detecting water tree which mainly causes the failure of XLPE insulated cables. In order to inspect the accuracy of the VLF $tan{\delta}$ method for XLPE insulated power cables in Korean distribution system, diagnosis for 41 cables which were being serviced in the fields has been carried out and they were removed for AC breakdown voltage test after. Regarding the 41 cables, it was hard to confirm any relation between the VLF $tan{\delta}$ values and AC breakdown voltages and also water tree in the insulation was not detected. However, the other cables were failed several days after the diagnosis of the 41 cables. Water trees were found and their VLF $tan{\delta}$ values were also much higher than the criterion of IEEE standard. It has been ascertained that we need to change the IEEE criteria in order to improve the accuracy of detecting water trees by additional analyzing of field examples of failure and case studies from overseas countries and therefore amended VLF $tan{\delta}$ test voltage and evaluation criteria have been proposed.

도로경관의 자연환경성 모형 -교외지역 국도를 중심으로- (A Model of Environmental Naturalness for Roadscape - Focused on the National Road in Suburb Areas -)

  • 홍영록;권상준;조태동
    • 한국환경과학회지
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    • 제13권6호
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    • pp.505-512
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    • 2004
  • This study was attempted to review the information data for minimizing the destruction of environmental naturalness and the visual damage of landscape from road construction by establishing a model of environmental naturalness for national roads in the suburb areas to suggest an answer to a research question, ' hat does decide the environmental naturalness of roadscape?'. We found that 1) The road-side slope showed no statistical significance in the description of environmental naturalness of roadscape, but the fact that the road-side slope from road construction is the destruction of natural topography cannot be overlooked. 2) In terms of the direction of value variations for independent variables, signboard and telegraph post, soundproofing and protection wall, structure, and building acted toward negative (-) direction, while mountains, sky, road trees, fields, and surrounding green including the road-side slope acted toward positive(+) direction. 3) The variable with highest relative contribution to dependent variables among independent variables is building, which has importance as many as 148 times of road-side slope, while the variable road-side slope has the least importance. Building has the importance of 7.22 times, mountains 5.51 times, road trees 2.59 times, surrounding green 2.54 times, structure 2.41 times, signboard and telegraph post 2.37 times, soundproofing and protection wall 2.20 times, and sky 1.32 times of the fields as a standard criterion values 1.

Automatic Detection of Dead Trees Based on Lightweight YOLOv4 and UAV Imagery

  • Yuanhang Jin;Maolin Xu;Jiayuan Zheng
    • Journal of Information Processing Systems
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    • 제19권5호
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    • pp.614-630
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    • 2023
  • Dead trees significantly impact forest production and the ecological environment and pose constraints to the sustainable development of forests. A lightweight YOLOv4 dead tree detection algorithm based on unmanned aerial vehicle images is proposed to address current limitations in dead tree detection that rely mainly on inefficient, unsafe and easy-to-miss manual inspections. An improved logarithmic transformation method was developed in data pre-processing to display tree features in the shadows. For the model structure, the original CSPDarkNet-53 backbone feature extraction network was replaced by MobileNetV3. Some of the standard convolutional blocks in the original extraction network were replaced by depthwise separable convolution blocks. The new ReLU6 activation function replaced the original LeakyReLU activation function to make the network more robust for low-precision computations. The K-means++ clustering method was also integrated to generate anchor boxes that are more suitable for the dataset. The experimental results show that the improved algorithm achieved an accuracy of 97.33%, higher than other methods. The detection speed of the proposed approach is higher than that of YOLOv4, improving the efficiency and accuracy of the detection process.

A maximum likelihood approach to infer demographic models

  • Chung, Yujin
    • Communications for Statistical Applications and Methods
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    • 제27권3호
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    • pp.385-395
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    • 2020
  • We present a new maximum likelihood approach to estimate demographic history using genomic data sampled from two populations. A demographic model such as an isolation-with-migration (IM) model explains the genetic divergence of two populations split away from their common ancestral population. The standard probability model for an IM model contains a latent variable called genealogy that represents gene-specific evolutionary paths and links the genetic data to the IM model. Under an IM model, a genealogy consists of two kinds of evolutionary paths of genetic data: vertical inheritance paths (coalescent events) through generations and horizontal paths (migration events) between populations. The computational complexity of the IM model inference is one of the major limitations to analyze genomic data. We propose a fast maximum likelihood approach to estimate IM models from genomic data. The first step analyzes genomic data and maximizes the likelihood of a coalescent tree that contains vertical paths of genealogy. The second step analyzes the estimated coalescent trees and finds the parameter values of an IM model, which maximizes the distribution of the coalescent trees after taking account of possible migration events. We evaluate the performance of the new method by analyses of simulated data and genomic data from two subspecies of common chimpanzees in Africa.

상수각 형질의 유전력 (Heritabilities of Some Characters of Mulberry Trees)

  • 장권열;한경수;민병렬
    • 한국잠사곤충학회지
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    • 제10권
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    • pp.41-43
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    • 1969
  • 상수각형질의 유전력을 알고자 우리나라 상수주요품종인 개량서반, 일지뢰, 노상, 수원상호의 4개품종을 재료로 유전력을 추정한 바 그 결과를 요약하면 다음과 같다. 1. 상수형질중 절간수의 유전력은 96.95로 제일 높고 주당지수의 유전력은 49.48로서 제일 낮았다. 2. 지조장, 지조직경, 지총중, 고지조중, 신소엽중, 그리고 정엽중의 유전력은 66-69의 값으로 절간수와 주당지수의 값의 중간치를 보였다. 이상의 결과로 상수의 형질중 절간수는 환경에 의한 변동이 적고 주당지수는 변동이 심하며 기타형질은 이들의 중간정도임을 알 수 있었다.

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CFD를 이용한 쓰레기 처리시설의 악취확산 예측에 관한 연구 (A Study on Odor Dispersion Prediction of Waste Treatment Facilities Using CFD)

  • 경서경;김공숙;김병선
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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    • pp.342-349
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    • 2009
  • The purpose of this study is to estimate efficiently an odor dispersion from waste treatment facility for a crematory and a neighborhood facility, then propose planning, a location of an opening or the arrangement of the trees. Hence, offer a comfortable environment for a resident. For this, first the research data about estimating odor dispersion from waste treatment facility and odor are analyzed, then research an ingredient, characteristic, a direct effect for human and a method of measurement. Second, with on-site survey, check odorimetry and the source of odor dispersion, then apply this to the boundary condition of CFD simulation. Third, analyse by the hour for the 2008 standard weather data of Cheon-an, then apply summer data that odor dispersion is active, winter data relatively slow and an annual mean velocity and wind to the simulation. Even if a crematory and neighborhood facility located on south and north from waste treatment facility are at the low rate, the south and north wind will be applied to the simulation. Fourth, with CFD simulation result, predict an odor dispersion, then propose a solution which is considered an odor dispersion, a location of an opening and the arrangement of the trees. Consequently, this study will have an effect on an environment of a resident.

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산림병해충 피해의심목 자동탐지 알고리즘 개발 연구 (A study on the development of an automatic detection algorithm for trees suspected of being damaged by forest pests)

  • 이후동;이성희;이영진
    • 한국지리정보학회지
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    • 제25권4호
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    • pp.151-162
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    • 2022
  • 최근 우리나라의 산림은 지속적인 산림재해로 인해 피해가 누적되고 있어 산림을 관리하기 위한 모니터링 기술이 조명받고 있으며, 산림재해 피해대상지의 규모가 큰 지형 특성으로 인해 드론, 인공지능, 빅데이터 등을 활용한 기술들이 연구되고 있다. 본 연구에서는 산림재해의 병해충을 모니터링하기 위해 딥러닝과 드론을 활용하여 산림 병해충 피해 의심목을 자동으로 탐지하는 산림 병해충 자동탐지 알고리즘 개발을 위한 표준 데이터 세트를 구축하였다. 객체검출 알고리즘으로서 YOLO 알고리즘을 활용한 실험결과에서는 YOLOv4-P7 모델이 재현율 69.69%와 정밀도 69.15%로 가장 높게 나타났으며, 이미지 사이즈가 큰 정사영상인 검출대상임을 고려할 때 산림병해충 피해의심목 자동탐지 알고리즘으로 YOLOv4-P7이 적합함을 확인하였다.