• 제목/요약/키워드: tree form

검색결과 488건 처리시간 0.036초

가로수(街路樹) 식재(植栽)를 위한 무궁화의 생장조절(生長調節) (The Growth Control of Hibiscus syriacus for Street Trees Planting)

  • 박형순;이정호;김홍은;유재은
    • 한국산림과학회지
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    • 제90권4호
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    • pp.445-449
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    • 2001
  • 가로수용 무궁화를 만들기 위한 무궁화 수행유도 실험에서 무궁화의 지하고를 100cm, 150cm, 200cm로 하고 시비를 달리한 결과, 각각의 근원경 평균이 15.7mm, 13.8mm, 10.8mm로 지하고가 낮을수록 근원경의 생장이 우수하였으며, 분산분석의 결과도 지하고에 따른 영향이 유의한 것으로 나타났다. 그리고 시비에 따른 영향은 유의하지 않았다. 또한 가로수로 식재하여 '99년부터 2000년까지 2년 동안 조사한 결과는 지하고 80~120cm, 121~150cm, 151-200cm에서 각각의 근원경 평균이 4.9mm, 4.5mm, 3.0mm의 값을 나타내 지하고 80~120cm, 121~150cm의 근원경 생장이 좋은 것으로 나타났다. 앞으로 가로수용으로 무궁화를 육성하가 위해서는 먼저 수고와 지하고를 고려하는 것이 타당한 것으로 본 실험의 결과에서 나타났다. 그러나 본 실험의 결과는 짧은 기간의 시험에 의한 것이므로 앞으로 계속하여 관찰 연구하여 보완하고자 한다.

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예비교사들은 삼엽충 분류활동 중에 어떤 특성을 보이는가? (What Characteristics Do Preservice Teachers Show During Trilobite Classification Activities?)

  • 임성만
    • 대한지구과학교육학회지
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    • 제12권1호
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    • pp.40-53
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    • 2019
  • 이 연구는 예비교사들이 삼엽충을 분류하면서 보이는 탐구 특성을 분석하는 것이다. 연구를 위해 교사 양성 대학에 다니는 예비교사 70명이 참여하였다. 연구에 이용된 분류 과제는 삼엽충 화석 사진 9장이었다. 예비교사들의 탐구활동은 그룹별로 삼엽충 화석을 관찰한 후 삼엽충의 진화 과정을 분류한 후 계통도를 구성하는 것이었다. 구체적인 연구결과는 다음과 같다. 첫째, 예비교사들은 삼엽충의 외형적인 특징을 잘 관찰해내고 그 내용을 바탕으로 체계적인 분류 결과를 도출하였다. 둘째, 예비교사들은 다양한 분류 기준을 사용하여 삼엽충을 분류하였다. 셋째, 예비교사들의 계통도와 과학자들의 계통도는 매우 유사하였다. 예비 교사들은 과학자들이 주장하는 삼엽충 화석의 일반적인 진화 과정인 단순한 형태에서 복잡한 형태로의 변화를 관찰과 추리를 통해 분석해낸 후 이를 근거로 계통도를 구성하였다. 이러한 결과는 충분한 시간이 제공되는 그룹별 탐구활동이 매우 효과적이며 예비교사들에게 탐구 활동에 대한 경험이 매우 중요함을 다시 한 번 시사해주었다.

비다양체 모델을 수용하는 CAD 시스템 커널을 위한 불리안 조직의 개발 (Development of Boolean Operations for CAD System Kernel Supporting Non-manifold Models)

  • 김성환;이건우;김영진
    • 한국CDE학회논문집
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    • 제1권1호
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    • pp.20-32
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    • 1996
  • The boundary evaluation technique for Boolean operation on non-manifold models which is regarded as the most popular and powerful method to create and modify 3-D CAD models has been developed. This technique adopted the concept of Merge and Selection in which the CSG tree for Boolean operation can be edited quickly and easily. In this method, the merged set which contains complete information about primitive models involved is created by merging primitives one by one, then the alive entities are selected following the given CSG tree. This technique can support the hybrid representation of B-rep(Boundary Representation) and CSG(Constructive Solid Geometry) tree in a unified non-manifold model data structure, and expected to be used as a basic method for many modeling problems such as data representation of form features, and the interference between them, and data representation of conceptual models in design process, etc.

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유전 알고리즘을 이용한 이진 결정 트리의 설계와 응용 (A design of binary decision tree using genetic algorithms and its applications)

  • 정순원;박귀태
    • 전자공학회논문지B
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    • 제33B권6호
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    • pp.102-110
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    • 1996
  • A new design scheme of a binary decision tree is proposed. In this scheme a binary decision tree is constructed by using genetic algorithm and FCM algorithm. At each node optimal or near-optimal feature subset is selected which optimizes fitness function in genetic algorithm. The fitness function is inversely proportional to classification error, balance between cluster, number of feature used. The binary strings in genetic algorithm determine the feature subset and classification results - error, balance - form fuzzy partition matrix affect reproduction of next genratin. The proposed design scheme is applied to the tire tread patterns and handwriteen alphabetic characters. Experimental results show the usefulness of the proposed scheme.

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결정트리기반 음성인식 시스템에서의 음소지속시간 사용방법 (A phoneme duration modeling in a speech recognition system based on decision tree state tying)

  • 구명완;김호경
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2002년도 11월 학술대회지
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    • pp.197-200
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    • 2002
  • In this paper, we propose a phoneme duration modeling in a speech recognition system based on disicion tree state tying. We assume that phone duration has a Gamma distribution. In a training mode, we model mean and variance of each state duration in context-independent phone model based on decision tree state tying. In a recognition mode, we get mean and variance of each context-dependent phone duration form state duration information obtaind during training mode. We make a comparative study of the proposed meth with conventinal methods. Our method results in good performance compared with conventional methods.

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초음파 조사에 의한 복합재료의 계면특성의 보강 개선에 관한 연구 (II) (A Study to Improve the Interface Strength of Composite Materials by the Radiation of Ultrasonic Energy)

  • 이상국;전춘생;김익년
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.179-182
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    • 1988
  • This study is to investigate the adhesive strength of composite material's interface on the experimental methode of tree growth in the material. The results are as fellows 1) The irradiations of ultrasonic energy cause the mechanical vibration in the polymer composite materials of fluid state, so then bring about physical dispersion and heat form inorganic materials, being supposed to produce chemical crosslinking reaction, decreasing of voids between filler and matrix. 2) The characterics of the breakdown are increased by using coupling agent in the composite material. 3) As the intensity of ultrasonic energy and its irradiated time are larger, the tree inception and break-down voltages increase and the tree growing is slower. so we obtain that the interface adhesive force tan be strengthened by the irradiation of ultrasonic energy.

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신경망 분류기와 선형트리 분류기에 의한 영상인식의 비교연구 (A Comparative Study of Image Recognition by Neural Network Classifier and Linear Tree Classifier)

  • Young Tae Park
    • 전자공학회논문지B
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    • 제31B권5호
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    • pp.141-148
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    • 1994
  • Both the neural network classifier utilizing multi-layer perceptron and the linear tree classifier composed of hierarchically structured linear discriminating functions can form arbitrarily complex decision boundaries in the feature space and have very similar decision making processes. In this paper, a new method for automatically choosing the number of neurons in the hidden layers and for initalzing the connection weights between the layres and its supporting theory are presented by mapping the sequential structure of the linear tree classifier to the parallel structure of the neural networks having one or two hidden layers. Experimental results on the real data obtained from the military ship images show that this method is effective, and that three exists no siginificant difference in the classification acuracy of both classifiers.

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가로수 유형별 모델링을 통한 가로공간 조도분포에 관한 연구 (A Study on the Lighting Distribution on Road Space by Modeling Roadside Tree Types)

  • 이석준;이종성
    • 한국환경과학회지
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    • 제21권4호
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    • pp.391-399
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    • 2012
  • This study proposes lighting simulation approach to assess lighting quality on motor ways and walk ways considering each type of form and growth of roadside trees. Simulation approach to assess quality of lighting is frequently used for lighting design which guarantees secure of drivers and pedestrians during the night time. But, road side trees which have diverse benefits for citizens acts on obstacles during night time needs lighting. The results of this study shows a possible way for tuning the aims of both lighting and road side tree. It will be possible to develop harmonic design standards for road way lighting if further study achieved based on the result of this study.

한글 Pattern에서 Subpattern분리와 인식에 관한 연구 (A study on the Partial Separation for Subpatterns and Recognition of the Hangeul Patterns)

  • 이주근;남궁재찬;김영건
    • 대한전자공학회논문지
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    • 제18권3호
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    • pp.1-8
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    • 1981
  • In this paper, the recognition method of Hangout patterns with the partial separation for the subpatterns is proposed. First, Hangout patterns are formalized into six formal patterns and their surface structures are discriminated. Second, two to four subpatterns from one form pattern are separated by the new algorithm combined with Index mark and Window. Hangout patterns are recognized with only frontiers of the tree by defining the regular U-tree grammar for the separated subpatterns. Compared with the previous tree grammar , this grammar reduces the production rules to 1/3 and simplifies automaton processing and has more flexiblity. By the simulation result for 1,600 characters of Hangeul patterns, separation rate of subpatterns (24 or 44) is obtained 99.1% and recognition rate is obtained 100 %.

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e-CRM에서 개인화 향상을 위한 의사결정나무 사용에 관한 연구 (Study on the Application of Decision Trees for Personalization based on e-CRM)

  • 양정희;한서정
    • 대한안전경영과학회지
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    • 제5권3호
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    • pp.107-119
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    • 2003
  • Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.