• Title/Summary/Keyword: KD-Tree

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Nutrient dynamics in decomposing litter from four selected tree species in Makurdi, Benue State, Nigeria

  • Okoh, Thomas;Edu, Esther
    • Journal of Ecology and Environment
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    • v.43 no.4
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    • pp.376-384
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    • 2019
  • Background: Nutrient release during litter decomposition was investigated in Vitex doniana, Terminalia avecinioides, Sarcocephallus latifolius, and Parinari curatellifolius in Makurdi, Benue State Nigeria (January 10 to March 10 and from June 10 to August 10, 2016). Leaf decomposition was measured as loss in mass of litter over time using the decay model Wt/W0 = e-kd t, while $Kd=-{\frac{1}{t}}In({\frac{Wt}{W0}})$ was used to evaluate decomposition rate. Time taken for half of litter to decompose was measured using T50 = ln 2/k; while nutrient accumulation index was evaluated as $NAI=(\frac{{\omega}t\;Xt}{{\omega}oXo})$. Results: Average mass of litter remaining after exposure ranged from 96.15 g, (V. doniana) to 78.11 g, (S. lafolius) in dry (November to March) and wet (April to October) seasons. Decomposition rate was averagely faster in the wet season (0.0030) than in the dry season (0.0022) with P. curatellifolius (0.0028) and T. avecinioides (0.0039) having the fastest decomposition rates in dry and wet seasons. Mean residence time (days) ranged from 929 to 356, while the time (days) for half the original mass to decompose ranged from 622 to 201 (dry and wet seasons). ANOVA revealed highly significant differences (p < 0.01) in decomposition rates and exposure time (days) and a significant interaction (p < 0.05) between species and exposure time in both seasons. Conclusion: Slow decomposition in the plant leaves implied carbon retention in the ecosystem and slow release of CO2 back to the atmosphere, while nitrogen was mineralized in both seasons. The plants therefore showed effectiveness in nutrient cycling and support productivity in the ecosystem.

Evaluation of Feature Extraction and Matching Algorithms for the use of Mobile Application (모바일 애플리케이션을 위한 특징점 검출 연산자의 비교 분석)

  • Lee, Yong-Hwan;Kim, Heung-Jun
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.4
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    • pp.56-60
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    • 2015
  • Mobile devices like smartphones and tablets are becoming increasingly capable in terms of processing power. Although they are already used in computer vision, no comparable measurement experiments of the popular feature extraction algorithm have been made yet. That is, local feature descriptors are widely used in many computer vision applications, and recently various methods have been proposed. While there are many evaluations have focused on various aspects of local features, matching accuracy, however there are no comparisons considering on speed trade-offs of recent descriptors such as ORB, FAST and BRISK. In this paper, we try to provide a performance evaluation of feature descriptors, and compare their matching precision and speed in KD-Tree setup with efficient computation of Hamming distance. The experimental results show that the recently proposed real valued descriptors such as ORB and FAST outperform state-of-the-art descriptors such SIFT and SURF in both, speed-up efficiency and precision/recall.

Home Range Analysis of Great Tit (Parus major) before and after Fledging in an Urban Park (도시공원에 번식하는 박새의 이소 전후 어미 행동권 분석)

  • Song, Won-Kyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.1
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    • pp.97-106
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    • 2020
  • Urban parks provide a variety of ecosystem services and are an important means of providing positive functions to urban ecosystems. Recently, various studies on wildlifes in urban parks have been conducted. However, there is a lack of research on habitat use in urban parks at important times such as before and after fledging in bird ecology. This study analyzed habitat use and home-range before and after fledging on Cheongsa park, a neighborhood park located in Cheonan city. An artificial nest was set up to check and capture great tit in fledging time. One female was captured and attached to the NTQB-2 (0.4g) radio transmitter, the location was tracked using SIKA Radio Tracking Receiver, hand-held three element Yagi antenna and GPS. Location information was recorded for 10 minutes for 3 hours each morning and afternoon for 12 days from May 17 to May 31, 2019. As a result, the home-range of the target species was 1.776 ha (MCP) and the core area was 499 ㎡ (KD 50%). The average daily home-range was 0.513 ha for the entire period, 0.688 ha before fledging, 0.339 ha after fledging based on MCP. The bird moved about 29.9 m on average and moved up to 131.7 m. For the most of the time, the great tit stayed inside the park, but the bird also used small green spaces such as street trees, tree flower beds, and green areas of unused lands. The results of this study could be applied to the study of habitat use and the greenery management policy of the urban park considering wild birds.

Diagnostic Value of Serum CYFRA 21-1 in Lung Cancer (폐암에서 혈중 CYFRA 21-1의 진단적 가치)

  • Yoon, Hyun-Dae;Kim, Ki-Deok;Chung, Jin-Hong;Lee, Hyung-Woo;Lee, Kwan-Ho;Lee, Hyun-Woo;Cho, Ihn-Ho
    • Tuberculosis and Respiratory Diseases
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    • v.42 no.2
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    • pp.149-155
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    • 1995
  • Background: Cytokeratin 19 is 40KD acidic molecule whose distribution is restricted to simple or pseudo-stratified epithelia, such as the epithelial layer of the bronchial tree. Immunohistochemical study have shown that cytokeratin 19 is overexpressed in lung carcinoma tissue. An immunoradiometric assay, CYFRA 21-1 has been developed using two monoclonal antibody, BM 19-21 and KS 19-1, reactive to different epitopes on cytokeratin 19. We studied the diagnostic value of CYFRA 21-1 in lung cancer. Method: The serum CYFRA 21-1 level using immunoradiometric kit(ELSA-CYFRA 21-1) was measured in 54 patients who admit to Yeungnam University Hospital from April, 1993 to August, 1994. Lung cancer group was 39 primary lung cancer patients(19 patients with squamous cell carcinoma, 11 patients with adenocarcinoma and 9 patients with small cell carcinoma). Control group was 15 patients with non malignant lung diseases(8 patients with pulmonary tuberculosis, 3 patients with chronic obstructive pulmonary disease, 2 patients with pneumonia and 2 patients with chronic obstructive pulmonary disease combined with pulmonary tuberculosis). Results: The mean serum value of CYFRA 21-1 was $20.2{\pm}4.7ng/ml$ in squamous cell carcinoma, $7.2{\pm}1.6ng/ml$ in adenocarcinoma and $15.5{\pm}4.7ng/ml$ in non-small cell lung cancer. The serum value of CYFRA 21-1 in control group was $1.7{\pm}0.5ng/ml$. All of the serum values of 3 histologic types were significantly higher than that of control group(p<0.01). The serum value of CYFRA 21-1 of squamous cell carcinoma was significantly higher than that of adenocarcinoma(p <0.05). Serum value of CYFRA 21-1 in small cell lung cancer was $2.9{\pm}0.9ng/ml$ and not significantly different compared with control group. Using cut off value of 3.3ng/ml, sensitivity and specificity was 11.1%, 65.2% in small cell lung cancer, 70.0%, 62.5% in non-small cell lung cancer, 73.7%, 75% in squamous cell carcinoma and 63.6%, 78.9% in adenocarcinoma, respectively. Conclusion: The serum levels of CYFRA 21-1 may be useful in diagnosis of non-small cell lung carcinoma, especially in squamous cell carcinoma with its high specificity.

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3D Terrain Reconstruction Using 2D Laser Range Finder and Camera Based on Cubic Grid for UGV Navigation (무인 차량의 자율 주행을 위한 2차원 레이저 거리 센서와 카메라를 이용한 입방형 격자 기반의 3차원 지형형상 복원)

  • Joung, Ji-Hoon;An, Kwang-Ho;Kang, Jung-Won;Kim, Woo-Hyun;Chung, Myung-Jin
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.6
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    • pp.26-34
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    • 2008
  • The information of traversability and path planning is essential for UGV(Unmanned Ground Vehicle) navigation. Such information can be obtained by analyzing 3D terrain. In this paper, we present the method of 3D terrain modeling with color information from a camera, precise distance information from a 2D Laser Range Finder(LRF) and wheel encoder information from mobile robot with less data. And also we present the method of 3B terrain modeling with the information from GPS/IMU and 2D LRF with less data. To fuse the color information from camera and distance information from 2D LRF, we obtain extrinsic parameters between a camera and LRF using planar pattern. We set up such a fused system on a mobile robot and make an experiment on indoor environment. And we make an experiment on outdoor environment to reconstruction 3D terrain with 2D LRF and GPS/IMU(Inertial Measurement Unit). The obtained 3D terrain model is based on points and requires large amount of data. To reduce the amount of data, we use cubic grid-based model instead of point-based model.