• 제목/요약/키워드: Tree Size

검색결과 834건 처리시간 0.022초

Single Image-Based 3D Tree and Growth Models Reconstruction

  • Kim, Jaehwan;Jeong, Il-Kwon
    • ETRI Journal
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    • 제36권3호
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    • pp.450-459
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    • 2014
  • In this paper, we present a new, easy-to-generate system that is capable of creating virtual 3D tree models and simulating a variety of growth processes of a tree from a single, real tree image. We not only construct various tree models with the same trunk through our proposed digital image matting method and skeleton-based abstraction of branches, but we also animate the visual growth of the constructed 3D tree model through usage of the branch age information combined with a scaling factor. To control the simulation of a tree growth process, we consider tree-growing attributes, such as branching orders, branch width, tree size, and branch self-bending effect, at the same time. Other invisible branches and leaves are automatically attached to the tree by employing parametric branch libraries under the conventional procedural assumption of structure having a local self-similarity. Simulations with a real image confirm that our system makes it possible to achieve realistic tree models and growth processes with ease.

Individual Tree Growth Models for Natural Mixed Forests in Changbai Mountains, Northeast China

  • Lu, Jun;Li, Fengri
    • 한국산림과학회지
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    • 제96권2호
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    • pp.160-169
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    • 2007
  • The data used to develop distance-independent individual models for natural mixed forests were collected from 712 remeasured permanent sample plots (25,526 trees) of 10-year periodic from 1990 to 2000 in Baihe Forest Bureau of Changbai Mountains, northeast China. Based on analyzing relationship between diameter increment of individual trees with tree size, competitive status, and site condition, the diameter growth models for individual trees of 15 species growing in mixed-species uneven-aged forest stands, that have simple form, good predicting precision, and easily applicable, were developed using stepwise regression method. The main variables influencing on diameter increment of individual trees were tree size and competition, however, the site conditions were not significantly related with diameter increment. The tree size variables (lnDBH and $DBH^2$) were the most significant and important predictors of diameter growth existing in all 15 growth models. The diameter increment was directly proportional to tree diameter for each species. For the competitive factors in growth model, the relative diameter (RD), canopy closure (P), and the ratio of diameter of subject tree with maximum diameter (DDM) were contributed to the diameter increment at a certain extent. Other measures of stand density, such as basal area of stand (G) and stand density index (SDI), were not significantly influenced on diameter increment. Site factors, such as site index, slope and aspect were not important to diameter increment and excluded in the final models. The total variance explained by the final models of squared diameter increment ($R^2$) for all 15 species ranged from 35% to 72% and these results compared quit closely with those of Wykoff (1990) for mixed conifer stands. Using independent data set, validation measures were evaluated for predicting models of diameter increment developed in this study. The result indicated that the estimated precision was all greater than 94% and the models were suitable to describe diameter increment.

Prefetch R-tree: 디스크와 CPU 캐시에 최적화된 다차원 색인 구조 (Prefetch R-tree: A Disk and Cache Optimized Multidimensional Index Structure)

  • 박명선
    • 정보처리학회논문지D
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    • 제13D권4호
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    • pp.463-476
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    • 2006
  • R-tree는 일반적으로 트리 노드의 크기를 디스크 페이지의 크기와 같게 함으로써 I/O 성능이 최적화 되도록 구현한다. 최근에는 주메모리 환경에서 CPU 캐시 성능을 최적화하는 R-tree의 변형이 개발되었다. 이는 노드의 크기를 캐시 라인 크기의 수 배로 하고 MBR에 저장되는 키를 압축하여 노드 하나에 더 많은 엔트리를 저장함으로써 성능을 높였다. 그러나, 디스크 최적 R-tree와 캐시 최적 R-tree의 노드 크기 사이에는 수십-수백 바이트와 수-수십 킬로바이트라는 큰 차이가 있으므로, I/O 최적 R-tree는 캐시 성능이 나쁘고 캐시 최적 R-tree는 디스크 I/O 성능이 나쁜 문제점을 가지고 있다. 이 논문에서는 CPU 캐시와 디스크 I/O에 모두 최적인 R-tree, PR-tree를 제안한다. 캐시 성능을 위해 PR-tree 노드의 크기를 캐시 라인 크기보다 크게 만든 다음 CPU의 선반입(prefetch) 명령어를 이용하여 캐시 실패 횟수를 줄이고, 트리 노드를 디스크 페이지에 낭비가 적도록 배치함으로써 디스크 I/O 성능도 향상시킨다. 또한, 이 논문에서는 PR-tree에서 검색 연산을 수행하는데 드는 캐시 실패 비용을 계산하는 분석 방법을 제시하고, 최적의 캐시와 I/O 성능을 보이는 PR-tree를 구성하기 위해, 가능한 크기의 내부 단말 노드, 중간 노드를 갖는 PR-tree 생성하여 성능을 비교하였다. PR-tree는 디스크 최적 R-tree보다 삽입 연산은 3.5에서 15.1배, 삭제 연산은 6.5에서 15.1배, 범위 질의는 1.3에서 1.9배, k-최근접 질의는 2.7에서 9.7배의 캐시 성능 향상이 있었다. 모든 실험에서 매우 작은 I/O 성능 저하만을 보였다.

Ordinary B-tree vs NTFS B-tree: A Digital Forensics Perspectives

  • Cho, Gyu-Sang
    • 한국컴퓨터정보학회논문지
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    • 제22권8호
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    • pp.73-83
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    • 2017
  • In this paper, we discuss the differences between an ordinary B-tree and B-tree implemented by NTFS. There are lots of distinctions between the two B-tree, if not understand the distinctions fully, it is difficult to utilize and analyze artifacts of NTFS. Not much, actually, is known about the implementation of NTFS, especially B-tree index for directory management. Several items of B-tree features are performed that includes a node size, minimum number of children, root node without children, type of key, key sorting, type of pointer to child node, expansion and reduction of node, return of node. Furthermore, it is emphasized the fact that NTFS use B-tree structure not B+structure clearly.

Allometry, Basal Area Growth, and Volume Equations for Quercus mongolica and Quercus variabilis in Gangwon Province of Korea

  • Choi, Jung-Kee;You, Byung-Oh;Burkhart, Harold E.
    • 한국산림과학회지
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    • 제96권2호
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    • pp.189-196
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    • 2007
  • Allometry, basal area equations, and volume equations were developed with various tree measurement variables for the major species, Quercus mongolica and Quercus variabilis, in Korean natural hardwood forests. For allometry models, the relationships between total height-DBH, crown width-DBH, height to the widest portion of the crown-total height, and height to base of crown-total height were investigated. Multiple regression methods were used to relate annual basal area growth to tree variables of initial size (DBH, total height, crown width) and relative size (relative diameter, relative height) as well as competition measures (competition index, crown class, exposed crown area, percent exposed crown area, live crown ratio). For tree volume equations, the combined-variable and Schumacher models were fitted with DBH, total height and crown width for both species.

몬테카를로 트리탐색을 활용한 초소형 바둑에서의 최상의 수순과 덤의 크기 (The Best Sequence of Moves and the Size of Komi on a Very Small Go Board, using Monte-Carlo Tree Search)

  • 이병두
    • 한국게임학회 논문지
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    • 제18권5호
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    • pp.77-82
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    • 2018
  • 바둑은 최상의 착점을 찾기 위해 컴퓨터가 완전탐색을 하여 모든 가능한 착점들을 탐색할 수 없는 가장 복잡한 보드게임이다. AlphaGo 이전에 모든 강력한 컴퓨터바둑 프로그램들은 게임트리 내 매우 큰 분기수와 국면평가에서의 어려움을 극복하기 위해 몬테카를로 트리탐색(Monte-Carlo Tree Search)을 사용해 왔다. 본 논문에서는 MCTS를 활용하여 초소형 바둑에서의 최상의 수순과 덤의 크기를 알고자 했다. 2줄바둑에서의 게임결과는 빅이 되었으며 덤의 크기는 0집, 반면에 3줄바둑에서는 흑이 항상 승리하고 덤의 크기는 9집이 되어야 함을 알아냈다.

라우팅 테이블의 크기를 고려한 랑데부 라우터 선정 알고리즘 (A Rendezvous Router Decision Algorithm Considering Routing Table Size)

  • 조기성;장희선;김동휘
    • 정보처리학회논문지C
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    • 제13C권7호
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    • pp.905-912
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    • 2006
  • 공유형 트리(Shared Tree)를 구성하여 멀티캐스트 서비스를 제공하는 CBT(Core Based Tree)와 PIM-SM(Protocol Independent Multicast-sparse Mode) 프로토콜에서는 랑데부 라우터(RP: Rendezvous Point)의 위치에 따라 전체 네트워크의 효율성이 결정된다. 본 논문에서는 멀티 캐스트 데이터 전송을 위하여 필요한 라우팅 테이블의 크기(테이블 내 entries의 수)를 최소화하고, 소스-멤버 사이의 비용을 일정한 범위 내로 관리할 수 있는 새로운 RP 선정 알고리즘을 제안한다. 성능분석 결과, 비용만을 고려하는 기존의 방법에 비하여 총비용은 5.37%, 라우팅 테이블의 크기는 13.35%까지 줄일 수 있음을 알 수 있다.

THE SPLIT AND NON-SPLIT TREE (D, C)-NUMBER OF A GRAPH

  • P.A. SAFEER;A. SADIQUALI;K.R. SANTHOSH KUMAR
    • Journal of applied mathematics & informatics
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    • 제42권3호
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    • pp.511-520
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    • 2024
  • In this paper, we introduce the concept of split and non-split tree (D, C)- set of a connected graph G and its associated color variable, namely split tree (D, C) number and non-split tree (D, C) number of G. A subset S ⊆ V of vertices in G is said to be a split tree (D, C) set of G if S is a tree (D, C) set and ⟨V - S⟩ is disconnected. The minimum size of the split tree (D, C) set of G is the split tree (D, C) number of G, γχST (G) = min{|S| : S is a split tree (D, C) set}. A subset S ⊆ V of vertices of G is said to be a non-split tree (D, C) set of G if S is a tree (D, C) set and ⟨V - S⟩ is connected and non-split tree (D, C) number of G is γχST (G) = min{|S| : S is a non-split tree (D, C) set of G}. The split and non-split tree (D, C) number of some standard graphs and its compliments are identified.

Examining the factors influencing leaf disease intensity of Kalopanax septemlobus (Thunb. ex Murray) Koidzumi (Araliaceae) over multiple spatial scales: from the individual, forest stand, to the regions in the Japanese Archipelago

  • Sakaguchi, Shota;Yamasaki, Michimasa;Tanaka, Chihiro;Isagi, Yuji
    • Journal of Ecology and Environment
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    • 제35권4호
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    • pp.359-365
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    • 2012
  • We investigated leaf disease intensity of Kalopanax septemlobus (prickly castor oil tree) caused by the parasitic fungus Mycosphaerella acanthopanacis, in thirty natural host populations in the Japanese Archipelago. The disease intensity observed for individual trees were analyzed using a generalized additive model as a function of tree size, tree density, climatic terms and spatial trend surface. Individual tree size and conspecific tree density were shown to have significant negative and positive effects on disease intensity, respectively. The findings suggest that the probability of disease infection is partly determined by dispersal of infection agents (ascospores) from the fallen leaves on the ground, which can be enhanced by aggregation of host trees in a forest stand. Regional-scale spatial bias was also present in disease intensity; the populations in northern Japan and southern Kyushu were more severely infected by the fungus than those in southwestern Honshu and Shikoku. Regional variation of disease intensity was explained by both climatic factors and a trend surface term, with a latitudinal cline detected, which increases towards the north. Further research should be conducted in order to understand all of the factors generating the latitudinal cline detected in this study.

원자력발전소의 물리적방호를 위한 핵심구역파악 규칙 개발 및 적용 (Vital Area Identification Rule Development and Its Application for the Physical Protection of Nuclear Power Plants)

  • 정우식;황미정;강민호
    • 한국안전학회지
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    • 제32권3호
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    • pp.160-171
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    • 2017
  • US national research laboratories developed the first Vital Area Identification (VAI) method for the physical protection of nuclear power plants that is based on Event Tree Analysis (ETA) and Fault Tree Analysis (FTA) techniques in 1970s. Then, Korea Atomic Energy Research Institute proposed advanced VAI method that takes advantage of fire and flooding Probabilistic Safety Assessment (PSA) results. In this study, in order to minimize the burden and difficulty of VAI, (1) a set of streamlined VAI rules were developed, and (2) this set of rules was applied to PSA fault tree and event tree at the initial stage of VAI process. This new rule-based VAI method is explained, and its efficiency and correctness are demonstrated throughout this paper. This new rule-based VAI method drastically reduces problem size by (1) performing PSA event tree simplification by applying VAI rules to the PSA event tree, (2) calculating preliminary prevention sets with event tree headings, (3) converting the shortest preliminary prevention set into a sabotage fault tree, and (4) performing usual VAI procedure. Since this new rule-based VAI method drastically reduces VAI problem size, it provides very quick and economical VAI procedure. In spite of an extremely reduced sabotage fault tree, this method generates identical vital areas to those by traditional VAI method. It is strongly recommended that this new rule-based VAI method be applied to the physical protection of nuclear power plants and other complex safety-critical systems such as chemical and military systems.