• 제목/요약/키워드: TREE MANAGEMENT

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트리 구조를 가진 범용 자원관리시스템의 설계 (Design of General-Purpose Resource Management System with Tree Structure)

  • 신현규;이충호
    • 한국멀티미디어학회논문지
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    • 제11권10호
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    • pp.1420-1426
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    • 2008
  • 최근의 프로그램들은 그림 파일이나 오디오와 같은 대용량의 자원을 사용하는 경향이 있다. 이와 같은 대용량 자원을 사용하는 경우 그 자원의 크기가 클수록 자동 관리 시의 효율성이 더 많이 저하되며, 자원의 수가 많을수록 관리의 어려움이 증가된다. 이에 본 논문은 파일시스템의 트리 구조의 인터페이스를 자원관리 시스템에 적용하여 편의성과 효율성을 도모한 자원관리시스템을 제안한다. 이 시스템은 문자열경로 기반의 접근방식을 채택하여 높은 호환성을 가지고 있으며, 트리 구조 지원으로 높은 구조성을 도모하고, 가상 노드의 지원으로 높은 효율성을 보인다. 본 시스템은 프로세스 안에서의 자원 관리를 위해 설계되었으나, 프로세스 외부로부터의 자원제어도 지원한다.

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울진·봉화 일대 금강소나무 고사 피해 특성 분석 (Risk Assessment of Pine Tree Dieback in Uljin and Bonghwa)

  • 김은숙;이기웅
    • 한국농림기상학회지
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    • 제25권3호
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    • pp.117-128
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    • 2023
  • 2010년대 이후, 보전·육성 가치가 높은 금강소나무 핵심 서식지인 봉화군과 울진군 일대에서 소나무 고사 현상이 발생하고 있다. 이에, 남부지방산림청에서는 금강소나무 군락지의 고사피해 현황 파악과 추가적인 병해충 피해 예방을 위해 2020년부터 금강소나무 고사목 발생 모니터링 사업을 수행하고 있다. 본 연구에서는 고사목 발생 모니터링 자료를 바탕으로 울진·봉화일대 금강소나무의 고사 피해발생 특성과 위험지역 분석을 수행하였다. 그 결과, 울진·봉화지역 금강소나무 고사목은 해발고도가 높은 산능선부위, 건조한 남쪽사면, 연령이 높은 임분, 겨울철 기온상승이 높은 지역에서 많이 발생한 특성을 보였다. 이러한 특성을 이용하여 전체 연구 대상지에 대한 고사목 발생 위험성 평가를 실시한 결과, 소나무림 약 85천ha 중 6.2%인 5,294 ha 임분이 고사발생 위험 특성을 보유하고 있는 것으로 평가되었다. 고사발생 위험지역에서는 고온 및 가뭄과 관련된 기후변화 이벤트가 발생할 경우 고사 피해가 실제로 발생 가능성이 높으므로 소나무의 생육 스트레스를 기본적으로 낮춰주기 위한 상시적인 산림관리 활동이 필요하며, 보호 우선순위가 높은 소나무 임분에 대한 우선적인 관리조치가 수행될 필요가 있다. 본 연구 결과는 이상기상 및 기후변화로 인해 피해 위험성이 높은 지역을 사전에 제시함으로써 기후변화 적응 산림관리 이행의 기초자료로 활용될 수 있다.

신경망과 의사결정 나무를 이용한 충수돌기염 환자의 재원일수 예측모형 개발 (Length-of-Stay Prediction Model of Appendicitis using Artificial Neural Networks and Decision Tree)

  • 정석훈;한우석;서용무;이현실
    • 한국산학기술학회논문지
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    • 제10권6호
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    • pp.1424-1432
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    • 2009
  • 충수돌기염 환자의 LoS(Length of Stay)를 예측하는 것은 병상의 운영에 적지 않은 영향을 준다. 본 논문에서는 Neural Networks와 Decision Tree를 이용하여 LoS와 연관이 높은 입력변수들을 찾아 그 의미를 분석하며, 찾아낸 입력변수들을 이용하여 다양한 LoS 예측 모형을 개발하고 그 성능을 비교하였다. 모형의 예측 정확성을 높이기 위하여 Bagging과 Boosting 등의 Ensemble 기법도 적용하였다. 실험 결과, Decision Tree 모형이 Neural Networks 모형보다 좀 더 적은 수의 속성을 가지고도 거의 통일한 예측력을 보였으며, Ensemble 기법 중에서는 Bagging 기법이 Boosting 기법보다 좋은 결과를 보여주었다. 의사결정나무 기법은 Neural Networks 기법에 비해 설명력이 있으며, 충수돌기염의 LoS 예측에 매우 효과적이었고, 중요 입력 변수의 선정에도 좋은 결과를 보여줌에 따라 향후 적극적인 기법의 도입이 필요하다고 할 수 있다.

An Assesesment of Leaf Chlorophyll Concentration of Afforestation Tree Species in South-Eastern, Nigeria

  • Udeagha, Agbaeze Umazi;Shomkegh, Simon Alyegba;Daniel, Koko Sunday
    • Journal of Forest and Environmental Science
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    • 제32권2호
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    • pp.205-211
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    • 2016
  • Leaf chlorophyll content provides valuable information about physiological status of plants. However, fewer studies have investigated the difference in chlorophyll concentration in leaves of tropical afforestation tree species. Therefore, this study examines the difference in foliar chlorophyll contents of six tropical afforestation tree species namely: Tectona grandis, Pentaclethra macrophylla, Piptademiastrum africanum, Azadirachta indica, Brachystegia eurycoma and Gmelina arborea found in the relict forest in Umudike, South east, Nigeria. A single factor experiment in a completely randomised design in three replicates was employed to analyse the rate of leaf chlorophyll contents. Fisher's least significant different was used to test for significance in mean difference in foliar chlorophyll contents between tree species at 95% confidence interval using analysis of variance. The results of this study showed a significant difference in foliar chlorophyll concentration between the tree species with Tectona grandis having a higher chlorophyll concentration than other trees this could be as a result of its higher vegetative activity which increases its primary productivity followed by Pentaclethra macrophylla while Azadirachta indica having least the chlorophyll concentration. The study further revealed that other indigenous tree species like Piptademiastrum africanum and Brachystegia eurycoma have higher chlorophyll concentration. Further studies should be carry out to examine factors that have contributed informed the differences in the chlorophyll concentration of these trees species, thus this would broaden the understanding of their physiological status and equally encourage there conservation.

Determinate the Number of Growth Rings Using Resistograph with Tree-Ring Chronology to Investigate Ages of Big Old Trees

  • OH, Jung-Ae;SEO, Jeong-Wook;KIM, Byung-Ro
    • Journal of the Korean Wood Science and Technology
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    • 제47권6호
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    • pp.700-708
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    • 2019
  • To verify the possibility of using resistograph to estimate the age of big old living trees, we selected three Zelkova serrata and seven Pinus densiflora in Goesan. The mean diameters at breast height of Z. serrata and P. densiflora were 102 (92-116) cm and 80 (65-110) cm, respectively. The heights measured from the ground using a resistograph ranged at 1.2-4.3 m and 0.6-1.1 m for Z. serrata and P. Densiflora, respectively. The most appropriate needle speed to determine tree-ring boundaries for measuring ring width was 1500 r/min for both tree species. Alternatively, the suitable feed speeds for Z. serrata and P. densiflora were 50 cm/min and 150 cm/min, respectively. From the measured data, the mean numbers of tree rings of Z. serrata and P. densiflora were 57 (43-68) and 104 (93-124), respectively, and the mean tree-ring widths were 4.27 mm (3.18-5.09 mm) and 2.93 mm (2.32-3.34 mm), respectively. A comparison between the time series of tree-ring widths by resistograph and that from the local master chronologies tallied for the heartwood part. Finally, this study showed that resistograph can be used to estimate tree ages when a local master chronology is available.

Rend 3D R-tree : 3D R-tree 기반의 이동 객체 데이터베이스 색인구조 연구 (Rend 3D R-tree: An Improved Index Structure in Moving Object Database Based on 3D R-tree )

  • 임향초;임기욱;남지은;이경오
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2008년도 추계학술발표대회
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    • pp.878-881
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    • 2008
  • To index the object's trajectory is an important aspect in moving object database management. This paper implements an optimizing index structure named Rend 3D R-tree based on 3D R-Tree. This paper demonstrates the time period update method to reconstruct the MBR for the moving objects in order to decrease the dead space that is produced in the closed time dimension of the 3D R-tree, then a rend method is introduced for indexing both current data and history data. The result of experiments illustrates that given methods outperforms 3D R-Tree and LUR tree in query processes.

Windows 파일시스템의 디렉토리에 대한 디지털 포렌식 분석 (A Digital Forensic Analysis for Directory in Windows File System)

  • 조규상
    • 디지털산업정보학회논문지
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    • 제11권2호
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    • pp.73-90
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    • 2015
  • When we apply file commands on files in a directory, the directory as well as the file suffer changes in timestamps of MFT entry. Based on understanding of these changes, this work provides a digital forensic analysis on the timestamp changes of the directory influenced by execution of file commands. NTFS utilizes B-tree indexing structure for managing efficient storage of a huge number of files and fast lookups, which changes an index tree of the directory index when files are operated by commands. From a digital forensic point of view, we try to understand behaviors of the B-tree indexes and are looking for traces of files to collect information. But it is not easy to analyze the directory index entry when the file commands are executed. And researches on a digital forensic about NTFS directory and B-tree indexing are comparatively rare. Focusing on the fact, we present, in this paper, directory timestamp changes after executing file commands including a creation, a copy, a deletion etc are analyzed and a method for finding forensic evidences of a deletion of directory containing files. With some cases, i.e. examples of file copy and file deletion command, analyses on the problem of timestamp changes of the directory are given and the problem of finding evidences of a deletion of directory containging files are shown.

J48 and ADTree for forecast of leaving of hospitals

  • Halim, Faisal;Muttaqin, Rizal
    • 한국인공지능학회지
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    • 제4권1호
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    • pp.11-13
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    • 2016
  • These days, medical technology has been developed rapidly to meet desire of living healthy life. Average lifespan was extended to let people see a doctor because of many reasons. This study has shown rate of leaving of hospitals to investigate the rate of not only department of surgery but also department of internal medicine. Linear model, tree, classification rule, association and algorithm of data mining were used. This study investigated by using J48 and AD tree of decision-making tree In this study, J48 and AD tree of decision-making tree of data mining were used to investigate based on result of both data. Both algorithms were found to have similar performance. Both algorithms were not equivalent to require detailed experiment. Collect more experimental data in the future to apply from various points of view. Development of medical technology gives dream, hope and pleasure. The ones who suffer from incurable diseases need developed medical technology. Environment being similar to the reality shall be made to experiment exactly to investigate data carefully and to let the ones of various ages visit hospital and to increase survival rate.

건설업의 산업재해 특성분석을 위한 의사결정나무 기법의 상용 최적 알고리즘 선정 (Selection of an Optimal Algorithm among Decision Tree Techniques for Feature Analysis of Industrial Accidents in Construction Industries)

  • 임영문;최요한
    • 대한안전경영과학회지
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    • 제7권5호
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    • pp.1-8
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    • 2005
  • The consequences of rapid industrial advancement, diversified types of business and unexpected industrial accidents have caused a lot of damage to many unspecified persons both in a human way and a material way Although various previous studies have been analyzed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. The main objective of this study is to find an optimal algorithm for data analysis of industrial accidents and this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and AnswerTree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work chosen from 19,574 data related to construction industries during three years ($2002\sim2004$) in Korea.

Exotic Mahogany Leaf Litter Hinders Growth of Philippine Native Tree Seedlings

  • Galano, Janford B.;Rodriguez, Lillian Jennifer V.
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제2권2호
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    • pp.76-81
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    • 2021
  • With continuous decline of Philippine forest cover, sustainable forest management and restoration are essential to restore destroyed forest ecosystems. Unfortunately, of ten most planted trees in reforestation projects in the Philippines, eight are exotic species, with large leaf mahogany (Swietenia macrophylla) being the most dominant. In this study, effect of Swietenia macrophylla in reforestation projects on native tree species was evaluated. Effects of S. macrophylla leaf litter, frequency, and canopy closure on the growth of the Philippine native species Pterocarpus indicus were investigated. Results showed that S. macrophylla leaf litter significantly inhibited the growth of P. indicus seedlings based on root collar-to-shoot height. The standardized growth rate of seedlings in plots without S. macrophylla leaf litter was significantly higher than the growth rate of seedlings in plots with leaf litter. Furthermore, there was no significant difference in the standardized growth rate of seedlings between plots without leaf litter and a control plot. On the contrary, S. macrophylla tree frequency and canopy closure showed no significant effect. These results attest to the negative effect of widely planted S. macrophylla to a valuable Philippine native tree P. indicus. With accumulating scientific evidence about negative effects of S. macrophylla on native trees, discontinued use in tree planting and reforestation efforts with active management of restoration sites previously planted with large leaf mahogany are needed.