• 제목/요약/키워드: Connected-Component

검색결과 534건 처리시간 0.069초

Comparison of the Floodplain Vegetation Structure According to Existence of Lateral Connectivity in Streams (하천의 횡적 연결성 유무에 따른 홍수터 식생 구조의 비교)

  • Chu, Yunsoo;Jin, Seung-Nam;Cho, Hyunsuk;Cho, Kang-Hyun
    • Journal of Wetlands Research
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    • 제19권3호
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    • pp.327-334
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    • 2017
  • The flood pulse in streams enhances the biodiversity and ecosystem services of the channel-floodplain ecosystems by exchanging water, nutrients, sediments and organisms. However, the lateral connectivity in most streams of Korea has been disrupted by the levee constructions for the purpose of flood control and land use of floodplains. To compare the characteristics of floodplain vegetation according to existence of lateral connectivity in streams, we investigated the geomorphological and soil environmental factors and structures and distribution of vegetation in the floodplains connected and isolated by levee to the channel in Cheongmi Stream, Seom River, Hwangguji Stream, Mangyeong River, Gomakwon Stream, and Boseong River, Korea. In comparison of soil environments, moisture and clay contents were higher in the isolated floodplain than in the connected floodplain. According to the result of principal component analysis (PCA) using environmental data, the environments of the connected floodplain and the isolated floodplain were separated by soil moisture contents, soil texture and distribution altitude of the vegetation. The results of detrended correspondence analysis (DCA) using vegetation data showed that the isolated floodplain was dominated by the hydropythic communities of diverse life form and that the connected floodplain was dominated by the hygrophytic communities that endure disturbance. In conclusion, it is thought that the vegetation of the floodplain changed to the lentic wetland vegetation dominated by diverse hydrophytes as the floodplain was isolated from the channel by artificial levees.

The Characteristics of Fish Fauna by Habitat Type and Population of Zacco platypus in the Hongcheon River (홍천강의 서식처 유형별 어류상과 피라미 개체군의 특징)

  • Lee, Hwang-Goo;Jang, Chang-Ryeol;Choi, Jun-Kil
    • Korean Journal of Environment and Ecology
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    • 제27권2호
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    • pp.230-240
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    • 2013
  • The fish fauna and population characteristics of Zacco platypus at the 9 habitat types in the Hongcheon River were investigated from August, 2009 to April, 2010. The collected species during the surveyed period were 21 species belong to 6 families. Korea endemic species were Acheilognathus signifer, Microphysogobio longidorsalis, Pseudopungtungia tenuicorpa, Squalidus gracilis majimae, Zacco koreanus, Iksookimia koreensis, Silurus microdorsalis, Liobagrus andersoni, Coreoperca herzi, Odontobuitis interrupta, and Odontobuitis platycephala which showed 61.9% ratio of total species. Dominant species was Z. koreanus, and subdominant species was Z. platypus. Dominant species according to habitat types were Z. platypus(in side channel, substrate type pool, and riffle), Z. koreanus(channel connected pool, run, meander type pool, and rock type pool), M. yaluensis( dam type pool ) and Rhynchocypris oxycephalus(channel unconnected pool). Length-weight relationship in the population of Z. platypus was 3.27 in regression coefficient(b). Principal component analysis was classified as 2 groups. Bray-curtis cluster analysis indicated that the channel connected pool and meander type pool showed the most similar values(66.2%), whereas side channel and channel unconnected pool exhibited the most distance values(32.1%).

Automatic Segmentation of Pulmonary Structures using Gray-level Information of Chest CT Images (흉부 CT 영상의 밝기값 정보를 사용한 폐구조물 자동 분할)

  • Yim, Ye-Ny;Hong, Helen
    • Journal of KIISE:Software and Applications
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    • 제33권11호
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    • pp.942-952
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    • 2006
  • We propose an automatic segmentation method for identifying pulmonary structures using gray-level information of chest CT images. Our method consists of following five steps. First, to segment pulmonary structures based on the difference of gray-level value, we select the threshold using optimal thresholding. Second, we separate the thorax from the background air and then the lungs and airways from the thorax by applying the inverse operation of 2D region growing in chest CT images. To eliminate non-pulmonary structures which has similar intensities with the lungs, we use 3D connected component labeling. Third, we segment the trachea and left and right mainstem bronchi using 3D branch-based region growing in chest CT images. Fourth, we can obtain accurate lung boundaries by subtracting the result of third step from the result of second step. Finally, we select the threshold in accordance with histogram analysis and then segment radio-dense pulmonary vessels by applying gray-level thresholding to the result of the second step. To evaluate the accuracy of proposed method, we make a visual inspection of segmentation result of lungs, airways and pulmonary vessels. We compare the result of the conventional region growing with the result of proposed 3D branch-based region growing. Experimental results show that our proposed method extracts lung boundaries, airways, and pulmonary vessels automatically and accurately.

A study on image region analysis and image enhancement using detail descriptor (디테일 디스크립터를 이용한 이미지 영역 분석과 개선에 관한 연구)

  • Lim, Jae Sung;Jeong, Young-Tak;Lee, Ji-Hyeok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제18권6호
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    • pp.728-735
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    • 2017
  • With the proliferation of digital devices, the devices have generated considerable additive white Gaussian noise while acquiring digital images. The most well-known denoising methods focused on eliminating the noise, so detailed components that include image information were removed proportionally while eliminating the image noise. The proposed algorithm provides a method that preserves the details and effectively removes the noise. In this proposed method, the goal is to separate meaningful detail information in image noise environment using the edge strength and edge connectivity. Consequently, even as the noise level increases, it shows denoising results better than the other benchmark methods because proposed method extracts the connected detail component information. In addition, the proposed method effectively eliminated the noise for various noise levels; compared to the benchmark algorithms, the proposed algorithm shows a highly structural similarity index(SSIM) value and peak signal-to-noise ratio(PSNR) value, respectively. As shown the result of high SSIMs, it was confirmed that the SSIMs of the denoising results includes a human visual system(HVS).

Loads of a Rigid Link Connecting a Container Ship and a Catamaran Type Container Offloading Vessel in Waves (파랑중 컨테이너선과 하역선의 연결장치에 작용하는 하중계산)

  • Hong, Do-Chun;Kim, Yong-Yook;Han, Soon-Hung
    • Journal of the Korean Society for Marine Environment & Energy
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    • 제13권2호
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    • pp.83-90
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    • 2010
  • The hydrodynamic interaction of two floating bodies in waves freely floating or connected by a rigid link is studied by using a boundary element method in the frequency-domain. The exact two-body hydrodynamic coefficients of added mass, wave damping and exciting force are calculated from the radiation-diffraction potential solution of the improved Green integral equation associated with the free surface Green function. The irregular frequencies in the conventional Green integral equation make it difficult to predict the physical resonance of the fluid in the gap between two bodies floating side by side. However, the improved Green integral equation employed in this study is free of irregular frequencies and always yields the exact solution of the multi-body radiation-diffraction potential boundary value problem. The 6 degree-of-freedom motions of two bodies freely floating side by side or connected parallel by a rigid link have been calculated for the incident wave frequencies ranging from 0.1 to 5 radians per second in head, left and right bow quartering seas. The 6-component load of the rigid link have also been presented.

Modeling and Analysis of Control Scheme for Voltage Source Inverter Based Grid-connection of Wind Turbine (전압원인버터를 이용한 계통연계형 풍력발전의 출력제어 모의 및 해석)

  • 김슬기;김응상
    • Journal of Energy Engineering
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    • 제12권2호
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    • pp.154-163
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    • 2003
  • Grid connection essentially requires a wind energy conversion system (WECS) to not only supply adequate power responding to constantly varying wind speed but also provide a specified level of voltage magnitude and frequency that is acceptable in the electric power network. To satisfy such requirements, appropriate control schemes of a wind turbine to be connected to the power grid should be employed. This paper presents an output control strategy of a grid-connected wind power generation, which consists of a fixed-pitch wind turbine, a synchronous generator and a AC-DC-AC component with a voltage source inverter built in, and performs modelling and analysis of the strategy using PSCAD/EMTDC, an electromagnetic transient analysis software. Real power output control of the voltage source inverter is implemented to extract the maximum energy from wind speed inputted through wind blades and reactive power control, to keep the terminal voltage of WECS at a specific level. SPWM switching method is used to reduce the harmonics and maintain 60 ㎐ of the output frequency. The wind turbine performance and output corresponding to wind variation and the terminal load change is simulated and analysed.

A Joining Method between HTS Double Pancake Coils (고온초전도 더블 팬케이크 코일들 사이의 접합 방법)

  • Sohn, Myung-Hwan;Sim, Ki-Deok;Kim, Seok-Ho;Kim, Hae-Jong;Bae, Joon-Han;Lee, Eon-Young;Min, Chi-Hyun;Seong, Ki-Chul
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • 제55권12호
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    • pp.633-639
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    • 2006
  • High temperature superconductor (HTS) winding coil is one of the key component in superconducting device fabrication. Double-pancake style coils are widely used for such application. High resistance between pancake coils greatly affects the machine design, operating condition and thus the stability. In order to reduce such resistance, experimentalists are looking for efficient and damage free coil connecting methods. In this respect, here we proposed parallel joining method to connect the coils. This is to do crossly joining with HTS tapes on two parallel HTS tapes. Joint samples between two parallel HTS tapes were prepared by using HTS tapes and current-voltage (I-V) characteristic curves were investigated at liquid nitrogen temperature i.e., 77.3 K. A 20 cm length joint connected between two parallel HTS tapes shows $32.5n{\Omega}$, for currents up to 250 A. A small HTS magnet, having two double pancake sub-coils connected together through new parallel joint method was fabricated and their current-voltage (I-V) characteristic curve was investigated. At 77.3K, critical current(Ic) of 97 A and resistance of $55n{\Omega}$ for currents upto 130 A were measured. At operating current 86 A lower than Ic, Joule heats generated in whole magnet and at joint region between sub-coils were 226 mW and 0.4 mW, respectively. Low Joule heat generation suggests that this joining method may be used to fabricate HTS magnet or windings.

Malaysian Vehicle License Plate Recognition in Low Illumination Images (저 조도 영상에서의 말레이시아 차량 번호판 인식)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • 제13권10호
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    • pp.19-26
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    • 2013
  • In the Malaysian license plates, alphabets and numerals which are made by plastic, are adhered to a frame as embossing style and occasionally characters in horizontal, vertical directions are aligned with narrow space. So the extraction of character stroke information can be hard in the vehicle images of low illumination intensity. In this paper, Malaysian license plate recognition algorithm for low illumination intensity image is proposed. DoG filtering based character stroke generation method is introduced to derive exact connected components of strokes in the vehicle image of low illumination intensity. After localization of plate by connected component analysis, characters are segmented and recognized. Algorithm is experimented for the 6,046 vehicle images captured in Kuala Lumpur by IR camera without using any special light during day and night. The experimental results show that recognition accuracy of plates is 96.1%.

Construction of a Network Model to Reveal Genes Related to Salt Tolerance in Chinese Cabbage (배추 염 저항성 관련 유전자의 네트워크 모델 구축)

  • Lee, Gi-Ho;Yu, Jae-Gyeong;Park, Ji-Hyun;Park, Young-Doo
    • Horticultural Science & Technology
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    • 제32권5호
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    • pp.684-693
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    • 2014
  • Abiotic stress conditions such as cold, drought, and salinity trigger physiological and morphological changes and yield loss in plants. Hence, plants adapt to adverse environments by developing tolerance through complex regulation of genes related to various metabolic processes. This study was conducted to construct a coexpression network for multidirectional analysis of salt-stress response genes in Brassica rapa (Chinese cabbage). To construct the coexpression network, we collected KBGP-24K microarray data from the B. rapa EST and microarray database (BrEMD) and performed time-based expression analyses of B. rapa plants. The constructed coexpression network model showed 1,853 nodes, 5,740 edges, and 142 connected components (correlation coefficient > 0.85). On the basis of the significantly expressed genes in the network, we concluded that the development of salt tolerance is closely related to the activation of $Na^+$ transport by reactive oxygen species signaling and the accumulation of proline in Chinese cabbage.

A Vehicle License Plate Recognition Using the Feature Vectors based on Mesh and Thinning (메쉬 및 세선화 기반 특징 벡터를 이용한 차량 번호판 인식)

  • Park, Seung-Hyun;Cho, Seong-Won
    • Journal of the Korean Institute of Intelligent Systems
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    • 제21권6호
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    • pp.705-711
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    • 2011
  • This paper proposes an effective algorithm of license plate recognition for industrial applications. By applying Canny edge detection on a vehicle image, it is possible to find a connected rectangular, which is a strong candidate for license plate. The color information of license plate separates plates into white and green. Then, OTSU binary image processing and foreground neighbor pixel propagation algorithm CLNF will be applied to each license plates to reduce noise except numbers and letters. Finally, through labeling, numbers and letters will be extracted from the license plate. Letter and number regions, separated from the plate, pass through mesh method and thinning process for extracting feature vectors by X-Y projection method. The extracted feature vectors are compared with the pre-learned weighting values by backpropagation neural network to execute final recognition process. The experiment results show that the proposed license plate recognition algorithm works effectively.