• 제목/요약/키워드: Source Tree

검색결과 329건 처리시간 0.028초

소프트웨어 소스 코드의 저작권 관리를 위한 디지털 라이센스의 비교와 분류 그리고 크립텍스 모델 (Discrimination and Comparison of Digital License for Copyright Management of Software Source Code and CRYPTEX Model)

  • 차병래;정영기
    • 한국콘텐츠학회논문지
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    • 제8권1호
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    • pp.246-258
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    • 2008
  • 소프트웨어 산업은 21세기 정보화 사회의 발전에 있어서도 중요한 역할을 하고 있다. 소프트웨어 소스 코드의 소유권 분쟁이 발생 시 소유권을 증명하기 위해서는 원본의 소프트웨어 소스코드를 판별해야만 하는 문제점을 갖고 있다. 본 논문에서는 소프트웨어 소스코드의 원본 판별을 지원하기 위한 소프트웨어 소스코드의 디지털 라이센스는 소스코드의 예약어를 파싱하여 계층구조를 갖는 XML 파일로 표현하며, 복잡한 소스코드 대신에 소프트웨어 소스코드의 노드 패턴과 아키텍처 패턴인 트리 구조 형태로 표현할 수 있다. 그리고 디지털 라이센스에 의한 소스코드의 분류 가능성에 대한 시뮬레이션과 크립텍스 모델을 제안한다.

실시간 인터넷 서비스를 위한 오브레이 말티케스트 트리의 패스 신뢰성 최대화 (Maximization of Path Reliabilities in Overlay Multicast Trees for Realtime Internet Service)

  • 이정훈;이채영
    • 한국경영과학회지
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    • 제33권2호
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    • pp.103-114
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    • 2008
  • Overlay Multicast is a promising approach to overcome the implementation problem of IP multicast. Real time services like Internet broadcasting are provided by the overlay multicast technology due to the complex nature and high cost of IP multicast. To reduce frequent updates of multicast members and to support real time service without delay, we suggest a reliable overlay multicast tree based on members' sojourn probabilities. Path reliabilities from a source to member nodes are considered to maximize the reliability of an overlay multicast tree. The problem is formulated as a binary integer programming with degree and delay bounds. A tabu search heuristic is developed to solve the NP-complete problem. Outstanding results are obtained which is comparable to the optimal solution and applicable in real time.

Hop-constrained multicast route packing with bandwidth reservation

  • 강장하;박성수
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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    • pp.402-408
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    • 2002
  • Multicast technology allows the transmission of data from one source node to a selected group of destination nodes. Multicast routes typically use trees, called multicast routing trees, to minimize resource usage such as cost and bandwidth by sharing links. Moreover, the quality of service (QoS) is satisfied by distributing data along a path haying no more than a given number of arcs between the root node of a session and a terminal node of it in the routing tree. Thus, a multicast routing tree for a session can be represented as a hop constrained Steiner tree. In this paper, we consider the hop-constrained multicast route packing problem with bandwidth reservation. Given a set of multicast sessions, each of which has a hop limit constraint and a required bandwidth, the problem is to determine a set of multicast routing trees in an arc-capacitated network to minimize cost. We propose an integer programming formulation of the problem and an algorithm to solve it. An efficient column generation technique to solve the linear programming relaxation is proposed, and a modified cover inequality is used to strengthen the integer programming formulation.

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Classification of Apple Tree Leaves Diseases using Deep Learning Methods

  • Alsayed, Ashwaq;Alsabei, Amani;Arif, Muhammad
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.324-330
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    • 2021
  • Agriculture is one of the essential needs of human life on planet Earth. It is the source of food and earnings for many individuals around the world. The economy of many countries is associated with the agriculture sector. Lots of diseases exist that attack various fruits and crops. Apple Tree Leaves also suffer different types of pathological conditions that affect their production. These pathological conditions include apple scab, cedar apple rust, or multiple diseases, etc. In this paper, an automatic detection framework based on deep learning is investigated for apple leaves disease classification. Different pre-trained models, VGG16, ResNetV2, InceptionV3, and MobileNetV2, are considered for transfer learning. A combination of parameters like learning rate, batch size, and optimizer is analyzed, and the best combination of ResNetV2 with Adam optimizer provided the best classification accuracy of 94%.

소프트웨어 소스 코드의 저작권 관리를 위한 디지털 라이센스의 검색 (Digital License Searching for Copyright Management of Software Source Code)

  • 차병래
    • 한국콘텐츠학회논문지
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    • 제7권1호
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    • pp.21-31
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    • 2007
  • 지적재산권 제도는 21세기 정보화 사회의 발전에 있어서도 중요한 역할을 하고 있다. 국가 경쟁력 제고를 위해서도 디지털콘텐츠에서 확대하여 소프트웨어 소스 코드에 대한 지적재산권 제도와 기술의 정비는 매우 중요한 의미를 지닌다. 소프트웨어 소스코드의 소유권 분쟁이 발생 시 소유권을 증명하기 위해서는 원본의 소프트웨어 소스코드를 판별해야만 하는 문제점을 갖고 있다. 본 연구에서는 소프트웨어 소스코드의 원본 판별을 지원하기 위한 소프트웨어 소스코드의 디지털 라이센스는 소스코드의 예약어를 파싱하여 계층구조를 갖는 XML 파일로 표현하며, 복잡한 소스코드 대신에 소프트웨어 소스코드의 아키텍처를 트리구조 형태로 표현할 수 있다. 그리고 디지털 라이센스를 검색하기 위한 색인 및 검색에 대한 연구를 수행한다.

전력용 케이블 시편에서 전기트리 발생원에 따른 부분방전 분포 특성 및 발생원 분류기법 비교 (Analysis of PD Distribution Characteristics and Comparison of Classification Methods according to Electrical Tree Source in Power Cable)

  • 박성희;정해은;임기조;강성화
    • 한국전기전자재료학회논문지
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    • 제20권1호
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    • pp.57-64
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    • 2007
  • One of the cause of insulation failure in power cable is well known by electrical treeing discharge. This is occurred for imposed continuous stress at cable. And this event is related to safety, reliability and maintenance. In this paper, throughout analysis of partial discharge(PD) distribution when occurring the electrical tree, is studied for the purpose of knowing of electrical treeing discharge characteristics according to defects. Own characteristic of tree will be differently processed in each defect and this reason is the first purpose of this paper. To acquire PD data, three defective tree models were made. And their own data is shown by the phase-resolved partial discharge method (PRPD). As a result of PRPD, tree discharge sources have their own characteristics. And if other defects (void, metal particle) exist internal power cable then their characteristics are shown very different. This result Is related to the time of breakdown and this is importance of cable diagnosis. And classification method of PD sources was studied in this paper. It needs select the most useful method to apply PD data classification one of the proposed method. To meet the requirement, we select methods of different type. That is, neural network(NN-BP), adaptive neuro-fuzzy inference system and PCA-LDA were applied to result. As a result of, ANFIS shows the highest rate which value is 98 %. Generally, PCA-LDA and ANFIS are better than BP. Finally, we performed classification of tree progress using ANFIS and that result is 92 %.

무선 에드혹 네트워크에서 지역 기반 트리를 이용한 멀티캐스팅 프로토콜 (Region-based Tree Multicasting Protocol in Wireless Ad-Hoc Networks)

  • 임정은;유상조
    • 한국통신학회논문지
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    • 제30권11B호
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    • pp.772-783
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    • 2005
  • 본 논문에서는 무선 에드혹 네트워크에서 효율적인 데이터 전송을 위한 밀티캐스팅 프로토콜을 제안한다. 기존에 제안된 유무선망에서의 밀티캐스팅 프로토콜들은 이동성에 의한 망의 동적인 변화, 제한된 대역폭, 높은 에러율등의 특성을 지닌 무선 에드혹 네트워크 환경을 고려하지 못하여 이를 그대로 무선 에드혹 망에 적용할 경우 나쁜 성능을 보인다. 이를 해결하기 위하여 에드혹 네트워크 환경을 고려한 멀티캐스팅 프로토콜들이 제안되었다. 그러나 이들 프로토콜 또한 제어메시지 오버헤드와 대역폭의 낭비를 줄이는 동시에 높은 데이터 전달률을 제공하지는 못하고 있다. 따라서 본 논문에서는 이를 개선한 지역 기반 트리를 이용한 멀티캐스팅 프로토콜(RTMA)을 제안한다. 지역 기반 트리를 이용한 멀티캐스팅은 위치 정보를 이용하여 지역을 나누어 지역 별로 트리를 구성한다. 이것은 송신자의 수가 많은 경우에도 제어 메시지의 오버헤드를 줄이는 동시에 효율적인 데이터 전송을 위한 것이다. 또한 이동성에 대처하지 못하는 트리 구조의 특성을 보완하기 위하여 속도정보를 이용하여 이동성이 큰 노드를 경로에서 제외시켜 신뢰성 있는 트리를 구성한다.

소나무와 잣나무에서 배출되는 주요 테르펜의 배출특성에 관한 비교연구 (A Study on the Comparison to Source Profile of the Major Terpenes from Pine Tree and Korean Pine Tree)

  • 지동영;김소영;한진석
    • 한국대기환경학회지
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    • 제18권6호
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    • pp.515-525
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    • 2002
  • A field study was conducted to estimate the emission rate of biogenic volatile organic compounds (BVOCs) from pine trees. In addition, the influences of meteological variables on their distribution characteristics have been investigated. A vegetation enclosure chamber was designed and constructed of Tedlar bag and acril. Sorbent tubes made up of Tenax TA and Carbotrap were used to collect biogenic VOCs emitted from each individual tree. Analysis of BVOCs was performed using a GC-FID system. The fundamental analytical parameters including linearity, retention time, recovery efficiency, and breakthrough volume were examined and verified for the determination of monoterpene emission rates. Total average concentration of each component is found to be $\alpha$-pinene (16.5), $\beta$-pinene (4.61) from pine trees, and $\alpha$-pinene (42.4), $\beta$-pinene (18.7 ng(gdw)$^{-1}$ hr$^{-1}$ ) from Korean pine trees. On the basis of our study, $\alpha$-pinene was found to be the major monoterpene emitted from both pine and Korean pine trees which were accompanied by $\beta$-pinene, camphene, and limonene. In ambient air, variable monoterpene compositions of emissions from pine trees were similar to Korean pine trees. Emission rates of monoterpene from each tree were found to depend on such parameters as temperature and solar radiation.

대표적인 의사결정나무 알고리즘의 해석력 비교 (Interpretability Comparison of Popular Decision Tree Algorithms)

  • 홍정식;황근성
    • 산업경영시스템학회지
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    • 제44권2호
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    • pp.15-23
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    • 2021
  • Most of the open-source decision tree algorithms are based on three splitting criteria (Entropy, Gini Index, and Gain Ratio). Therefore, the advantages and disadvantages of these three popular algorithms need to be studied more thoroughly. Comparisons of the three algorithms were mainly performed with respect to the predictive performance. In this work, we conducted a comparative experiment on the splitting criteria of three decision trees, focusing on their interpretability. Depth, homogeneity, coverage, lift, and stability were used as indicators for measuring interpretability. To measure the stability of decision trees, we present a measure of the stability of the root node and the stability of the dominating rules based on a measure of the similarity of trees. Based on 10 data collected from UCI and Kaggle, we compare the interpretability of DT (Decision Tree) algorithms based on three splitting criteria. The results show that the GR (Gain Ratio) branch-based DT algorithm performs well in terms of lift and homogeneity, while the GINI (Gini Index) and ENT (Entropy) branch-based DT algorithms performs well in terms of coverage. With respect to stability, considering both the similarity of the dominating rule or the similarity of the root node, the DT algorithm according to the ENT splitting criterion shows the best results.

Seed Quality, Germinability and Initial Growth of Pterocarpus erinaceus (African Rosewood). How Important are Mother Tree Size, Source and Timing of Fruit Harvest?

  • Tiika, Richard J.;Issifu, Hamza;Baatuuwie, Bernard Nuoleyeng;Nasare, Latif Iddrisu;Husseini, Rikiatu
    • Journal of Forest and Environmental Science
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    • 제35권2호
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    • pp.69-77
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    • 2019
  • Pterocarpus erinaceus is a multipurpose tree species indigenous to semi-arid and Guinean-savanna woodlands of Africa. Natural regeneration on the savanna is being hampered by higher fire frequencies and other land use changes. Simultaneously, demand for timber from the species on the international market is on the rise, raising conservation concerns. To ensure sustainability, good quality seeds, sources of which have not received much research focus, are needed for afforestation. This study investigated how seed quality, germinability and initial seedling growth of P. erinaceus might be influenced by land-use type, mother tree size as well as source and timing of fruit harvest, using both correlational and experimental approaches. The results showed that up to 94.6% of all harvested fruits contained seeds, with no differences found between fruits harvested from cultivated and non-cultivated lands. Percentage of (sound) unblemished seeds was found to be higher for fruits harvested early March (47.3%) than fruits from late April (39.5%). Percentage sound seeds was 41.4% for dispersed fruits (i.e. detached fruits picked from under mother trees) which was not found to differ from undispersed fruits (i.e. fruits harvested while still attached to mother trees) at 45.5%. Also, the influence of fruit harvest time was not found to be different for dispersed and undispersed fruits. Correlations between seed set (proportion of fruits containing seeds) and mother tree size (both tree height and DBH) were found to be very low and non-significant for both dispersed and undispersed fruits. Across mother trees, mean emergence percent was 79.7%, and mean seedling height at three weeks following emergence was 5.32 cm. Both emergence percentage and seedling height were not found to differ among mother trees, but seeds from dispersed fruits had a higher emergence percent (85%) than seeds from undispersed fruits (74%). Implications of findings are discussed.