• Title/Summary/Keyword: TREE MANAGEMENT

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Dual-tree Wavelet Discrete Transformation Using Quincunx Sampling For Image Processing (디지털 영상 처리를 위한 Quincunx 표본화가 사용된 이중 트리 이산 웨이브렛 변환)

  • Shin, Jong Hong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.4
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    • pp.119-131
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    • 2011
  • In this paper, we explore the application of 2-D dual-tree discrete wavelet transform (DDWT), which is a directional and redundant transform, for image coding. DDWT main property is a more computationally efficient approach to shift invariance. Also, the DDWT gives much better directional selectivity when filtering multidimensional signals. The dual-tree DWT of a signal is implemented using two critically-sampled DWTs in parallel on the same data. The transform is 2-times expansive because for an N-point signal it gives 2N DWT coefficients. If the filters are designed is a specific way, then the sub-band signals of the upper DWT can be interpreted as the real part of a complex wavelet transform, and sub-band signals of the lower DWT can be interpreted as the imaginary part. The quincunx lattice is a sampling method in image processing. It treats the different directions more homogeneously than the separable two dimensional schemes. Quincunx lattice yields a non separable 2D-wavelet transform, which is also symmetric in both horizontal and vertical direction. And non-separable wavelet transformation can generate sub-images of multiple degrees rotated versions. Therefore, non-separable image processing using DDWT services good performance.

Reliability Evaluation of Resilient Safety Culture Using Fault Tree Analysis

  • Garg, Arun;Tonmoy, Fahim;Mohamed, Sherif
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.303-312
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    • 2020
  • Safety culture is a collection of the beliefs, perceptions and values that employees share in relation to risks within an organisation. On the other hand, a resilient safety culture (RSC) means a culture with readiness of the organisation to respond effectively under stress, bounce back from shocks and continuously learn from them. RSC helps organisations to protect their interest which can be attributed to behavioural, psychological and managerial capabilities of the organization. Quantification of the degree of resilience in an organisation's safety culture can provide insights about the strong and weak links of the organisation's overall health and safety situation by identifying potential causes of system or sub-system failure. One of the major challenges of quantification of RSC is that the attributes that determine RSC need to be measured through constructs and indicators which are complex and often interrelated. In this paper, we address this challenge by applying a fault tree analysis (FTA) technique which can help analyse complex and interrelated constructs and indicators. The fault tree model of RSC is used to evaluate resilience levels of two organisations with remote and urban locations in order to demonstrate the failure path of the weak links in the RSC model.

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Predicting Tree Felling Direction Using Path Distance Back Link in Geographic Information Systems (GIS)

  • Rhyma Purnamasayangsukasih Parman;Mohd Hasmadi, Ismail;Norizah Kamarudin;Nur Faziera Yaakub
    • Journal of Forest and Environmental Science
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    • v.39 no.4
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    • pp.203-212
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    • 2023
  • Directional felling is a felling method practised by the Forestry Department in Peninsular Malaysia as prescribed in Field Work Manual (1997) for Selective Management Systems (SMS) in forest harvesting. Determining the direction of tree felling in Peninsular Malaysia is conducted during the pre-felling inventory 1 to 2 years before the felling operation. This study aimed to predict and analyze the direction of tree felling using the vector-based path distance back link method in Geographic Information Systems (GIS) and compare it with the felling direction observed on the ground. The study area is at Balah Forest Reserve, Kelantan, Peninsular Malaysia. A Path Distance Back Link (spatial analyst) function in ArcGIS Pro 3.0 was used in predicting tree felling direction. Meanwhile, a binary classification was used to compare the felling direction estimated using GIS and the tree felling direction observed on the ground. Results revealed that 61.3% of 31 trees predicted using the vector-based projection method were similar to the felling direction observed on the ground. It is important to note that dynamic changes of natural constraints might occur in the middle of tree felling operation, such as weather problems, wind speed, and unpredicted tree falling direction.

A Study on the Office Management Service Platform based on M2M/IoT (M2M/IoT 기반의 사무실 관리 서비스 플랫폼 연구)

  • Nam, Kang-Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.12
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    • pp.1405-1414
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    • 2014
  • The office management service platform configured with office's sensor devices, G/DSCL(Gateway/Device Service Capability Layer), NSCL(Network Service Capability Layer), and NA(Network Application). In this paper, we designed gateway resource tree and service scenario to fit the office management service and demonstrated appropriate operation of the office management service through intelligent functional modeling.

Data Mining Approach to Clinical Decision Support System for Hypertension Management (고혈압관리를 위한 의사지원결정시스템의 데이터마이닝 접근)

  • 김태수;채영문;조승연;윤진희;김도마
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.203-212
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    • 2002
  • This study examined the predictive power of data mining algorithms by comparing the performance of logistic regression and decision tree algorithm, called CHAID (Chi-squared Automatic Interaction Detection), On the contrary to the previous studies, decision tree performed better than logistic regression. We have also developed a CDSS (Clinical Decision Support System) with three modules (doctor, nurse, and patient) based on data warehouse architecture. Data warehouse collects and integrates relevant information from various databases from hospital information system (HIS ). This system can help improve decision making capability of doctors and improve accessibility of educational material for patients.

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Improved Algorithms for Minimum Cost Replicated Web Contents Distribution Tree (통신비용을 최소화하는 복제 웹컨텐츠 분배나무 구성을 위한 개선된 알고리즘)

  • Hong Sung-Pil;Lee Dong-Gwon
    • Korean Management Science Review
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    • v.22 no.2
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    • pp.99-107
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    • 2005
  • Recently, Tang and Chanson proposed a minimum cost distribution model for replicated Web contents subject to an expiration-based consistency management. Their model is a progress in that it can consider multiple replicas via the network of servers located on the Web. The proposed greedy heuristic, however, has an undesirable feature that the solution tends to converge a local optimum at an early stage of the algorithm. in this paper, we propose an algorithm based on a simple idea of preventing the early local convergence. The new algorithm provides solutions whose cost are, on the average, 27$\%$ lower than in the previous algorithm.

Analysis of HTML Structure in E-commerce Websites Using Tree Representation (트리 표현을 사용하는 전자상거래 웹 사이트의 HTML 구조 분석)

  • Ventura, Jose E.;Park, Jeong-Sun
    • Journal of the Korea Safety Management & Science
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    • v.13 no.4
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    • pp.201-205
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    • 2011
  • 개인화된 제품과 서비스에 대한 소비자의 요구는 성공적인 전자상거래 플랫폼을 기반으로 하고 있다. 성공적인 전자상거래 플랫폼을 개발함에 있어 자주 간과되고 있는 중요한 요소는 바로 웹 페이지의 HTML 구조이다. HTML 구조는 전자상거래 웹사이트의 속도와 랭킹을 결정짓는 기본적인 요소이다. 본 논문은 HTML 구조를 분석하기 위한 효율적이고 다소 생소한 시각화 기법을 제안하는데, 이러한 기법을 사용하여 개발자는 잠재적인 프로그래밍 오류와 개선 사항을 발견할 수 있다. 본 논문은 하나의 사례를 이용하여 제안된 기법을 더욱 구체화 시킨다.

On the Tree Model grown by one-sided purity (단측 순수성에 의한 나무모형의 성장에 대하여)

  • 김용대;최대우
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.17-25
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    • 2001
  • Tree model is the most popular classification algorithm in data mining due to easy interpretation of the result. In CART(Breiman et al., 1984) and C4.5(Quinlan, 1993) which are representative of tree algorithms, the split fur classification proceeds to attain the homogeneous terminal nodes with respect to the composition of levels in target variable. But, fur instance, in the chum prediction modeling fur CRM(Customer Relationship management), the rate of churn is generally very low although we are interested in mining the churners. Thus it is difficult to get accurate prediction modes using tree model based on the traditional split rule, such as mini or deviance. Buja and Lee(1999) introduced a new split rule, one-sided purity for classifying minor interesting group. In this paper, we compared one-sided purity with traditional split rule, deviance analyzing churning vs. non-churning data of ISP company. Also reviewing the result of tree model based on one-sided purity with some simulated data, we discussed problems and researchable topics.

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A Concurrency Control Method for Non-blocking Search Operation based on R-tree (논 블록킹 검색연산을 위한 R-tree 기반의 동시성 제어 기법)

  • Kim, Myung-Keun;Bae, Hae-Young
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.809-822
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    • 2004
  • In this paper, we propose a concurrency control algorithm based on R-tree for spatial database management system. The previous proposed algorithms can't prevent problem that search operation is to be blocking during update operations. In case of multidimensional indexes like R-tree, locking of update operations may be locked to several nodes, and splitting of nodes have to lock a splitting node for a long time. Therefore search operations have to waiting a long time until update operations unlock. In this paper we propose new algorithms for lock-free search operation. First, we develop a new technique using a linked-list technique on the node. The linked-list enable lock-free search when search operations search a node. Next, we propose a new technique using a version technique. The version technique enable lock-free search on the node that update operations is to be splitting.

Design of Tree Management System using Low-Power Embedded Sensor Board in WSN (무선 네트워크 환경에서 저전력 임베디드 센서 보드를 이용한 트리 매니지먼트 시스템 설계)

  • Heo, Min;Mo, Soo-Jong;Kim, Chang-Su;Yim, Jae-Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.127-130
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    • 2005
  • Internal cities such as gray level been enclosed to building forest are paying a lot of efforts and expenses to change to green city that park and street tree get put together. By the example, 'GREEN CITY of PUSAN 21' progress to decorate army facilities like the park, and to plant street trees in several places of city plan in Pusan. And urban environment that big cities of advanced nation are agreeable is making in the large park and road street trees at several places in downtown. Because price of tree for the park is very expensive, tree management system was all-important. In this paper, Motes deliver the sensor information in each tree through radio sensor network by server side. This information can use in state grasping of tree, harmful insects courtesy call etc and this system design was suggested to inform to mode of life administration scholars.

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