• 제목/요약/키워드: integrated extraction

검색결과 228건 처리시간 0.025초

중심점 기반 지하시설물 갱신객체 추출 기술 (Updated Object Extraction in Underground Facility based on Centroid)

  • 김광수;이강우;김봉완;장인성
    • 한국측량학회지
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    • 제38권6호
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    • pp.553-559
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    • 2020
  • 노후화된 지하시설물의 손상이 주요 원인이 되어 발생하는 도심지 지반침하를 예방하기 위해 지하시설물의 체계적 관리를 위해 지하공간 통합지도가 제작되고 있다. 그러나, 지하공간 통합지도를 갱신하는 과정에 갱신되지 않은 지하시설물 객체가 포함되어 갱신 시간을 지연시키는 문제가 있다. 본 논문에서는 지하시설물의 중심점을 기반으로 지하공간 통합지도의 갱신 과정에 필요한 갱신된 객체만을 선별함으로써 통합지도의 갱신 시간을 단축하는 방법에 대해 제안하였다. 중심점 비교를 통해 검색 대상을 대폭 감소시켜 검색 속도를 단축하고, 동일 객체 여부는 두 객체의 실제 위치를 이용한 거리를 계산하여 판정하였다. 제안된 방법은 데이터의 수량이 많을수록 빠른 성능을 나타내고, 기존의 방법에 비해 약 4배 정도 빠르게 갱신된 객체를 지하공간 통합지도에 반영할 수 있다.

Extraction of S-Parameters for a Slot Unit on the Post-Wall Waveguide from Measured Data

  • Lee, Jae-Ho;Park, Jung-Yong
    • Journal of electromagnetic engineering and science
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    • 제12권1호
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    • pp.122-127
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    • 2012
  • Post-wall waveguide structures have attracted a great deal of attention for micro- and millimeter-wave applications. One of the waveguide’s applications is a slotted waveguide array. In order to design the slotted array, the characteristics of a slot unit alone on the post-wall waveguide should be investigated. In this paper, a method for extracting the S-parameters of a unit slot is proposed. This simple method requires only two kinds of waveguides: waveguides without a slot unit and waveguides with a slot unit. Three kinds of slot units are fabricated, and the extracted results show a high level of agreement with predicted (simulated) results. With this method, the equivalent slot length can also be found.

Change Detection of Buildings Using High Resolution Remotely Sensed Data

  • Zeng, Yu;Zhang, Jixian;Wang, Guangliang
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.530-535
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    • 2002
  • An approach for quickly updating GIS building data using high resolution remotely sensed data is proposed in this paper. High resolution remotely sensed data could be aerial photographs, satellite images and airborne laser scanning data. Data from different types of sensors are integrated in building extraction. Based on the extracted buildings and the outdated GIS database, the change-detection-template can be automatically created. Then, GIS building data can be fast updated by semiautomatically processing the change-detection-temp late. It is demonstrated that this approach is quick, effective and applicable.

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VBIC Model Application and Parameter Extraction and Optimization for SiGe HBT

  • Lee, Sang-Heung;Park, Chan-Woo;Lee, Seung-Yun;Lee, Ja-Yol;Kang, Jin-Yeong
    • 한국통신학회논문지
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    • 제28권8A호
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    • pp.650-656
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    • 2003
  • In 1995, a group of representatives from the integrated circuits and computer-aided design industries presented a industry standard bipolar model called the VBIC model. The VBIC model includes the improved Early effect, quasi-saturation, substrate parasitic, avalanche multiplication, and self-heating which are not available in the conventional SGP model. This paper applies VBIC model for SiGe HBT device and develops an accurate and efficient methodology to extract all the DC and AC parameters of the VBIC model for SiGe HBT device at room temperature. Simulated results by the extracted VBIC model parameter are compared with the measurement data and show very good agreement in both DC and s-parameters prediction.

Deep Reference-based Dynamic Scene Deblurring

  • Cunzhe Liu;Zhen Hua;Jinjiang Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권3호
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    • pp.653-669
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    • 2024
  • Dynamic scene deblurring is a complex computer vision problem owing to its difficulty to model mathematically. In this paper, we present a novel approach for image deblurring with the help of the sharp reference image, which utilizes the reference image for high-quality and high-frequency detail results. To better utilize the clear reference image, we develop an encoder-decoder network and two novel modules are designed to guide the network for better image restoration. The proposed Reference Extraction and Aggregation Module can effectively establish the correspondence between blurry image and reference image and explore the most relevant features for better blur removal and the proposed Spatial Feature Fusion Module enables the encoder to perceive blur information at different spatial scales. In the final, the multi-scale feature maps from the encoder and cascaded Reference Extraction and Aggregation Modules are integrated into the decoder for a global fusion and representation. Extensive quantitative and qualitative experimental results from the different benchmarks show the effectiveness of our proposed method.

퍼지 신경회로망을 이용한 칼라 물체 추출 (Colored Object Extraction using Fuzzy Neural Network)

  • 김용수;정승원
    • 한국지능시스템학회논문지
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    • 제17권2호
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    • pp.226-231
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    • 2007
  • 본 논문에서는 퍼지 신경회로망을 사용하여 영상에서 색상을 가진 물체를 배경으로부터 추출해내는 방법을 제시하였다. 퍼지 신경회로망은 영상을 2개의 부류로 구성되어 있는 것으로 보고, 임계 파라미터를 조종하여 물체 영역의 Cb와 Cr의 대표값들과 배경영역의 Cb와 Cr의 대표값들을 추출하였다. 이 대표값들을 이용하여 색상을 가진 물체를 배경으로부터 추출하였다. 제안한 방법은 물체의 위치 및 크기와 밝기에 상관없이 물체를 추출하였다. 여러 가지 영상들을 사용하여 제안한 방법의 성능과 주관적 임계값을 사용한 방법의 성능을 비교하였다. 또한 영상들에 잡음을 첨가하여 제안한 방법의 성능과 주관적 임계값을 사용한 방법의 물체를 추출하는 능력을 비교하였다.

무접합 이중 게이트 MOSFET에서 문턱전압 추출 (Extraction of Threshold Voltage for Junctionless Double Gate MOSFET)

  • 정학기
    • 한국전기전자재료학회논문지
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    • 제31권3호
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    • pp.146-151
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    • 2018
  • In this study, we compared the threshold-voltage extraction methods of accumulation-type JLDG (junctionless double-gate) MOSFETs (metal-oxide semiconductor field-effect transistors). Threshold voltage is the most basic element of transistor design; therefore, accurate threshold-voltage extraction is the most important factor in integrated-circuit design. For this purpose, analytical potential distributions were obtained and diffusion-drift current equations for these potential distributions were used. There are the ${\phi}_{min}$ method, based on the physical concept; the linear extrapolation method; and the second and third derivative method from the $I_d-V_g$ relation. We observed that the threshold-voltages extracted using the maximum value of TD (third derivatives) and the ${\phi}_{min}$ method were the most reasonable in JLDG MOSFETs. In the case of 20 nm channel length or more, similar results were obtained for other methods, except for the linear extrapolation method. However, when the channel length is below 20 nm, only the ${\phi}_{min}$ method and the TD method reflected the short-channel effect.

Economic Damage Assessment of Coastal Development using Dynamic Bioeconomic Model

  • Kim, Tae-Goun
    • 한국항해항만학회지
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    • 제36권9호
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    • pp.741-751
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    • 2012
  • This article analyzes the interdependency between nonrenewable marine sand resources and renewable fishery resources by the developed dynamic bioeconomic model. The developed bioeconomic model is applied to a case study of efficient sustainable management for marine sand mining, which adversely affects a valuable blue crab fishery and its habitat in Korea. The socially-efficient extraction plan for marine sand and the time-variant environmental external costs to society in terms of diminished harvest rate of blue crab are determined. To take into account long-term effects from destroyed fishery habitat, a Beverton-Holt age structure model is integrated into the bioeconomic model. The illustrative results reveal that the efficient sand extraction plan is dynamically constrained by the stock size of the blue crab fishery over time. Thus, the dynamic environmental external cost is more realistic resource policy option than the classical fixed external cost for determining socially optimal extraction plans. Additionally, the economic value of bottom habitat, which supports the on- and off-site commercial blue crab fishery is estimated. The empirical results are interpreted with emphasis on guidelines for management policy for marine sand mining.

영역분할과 컬러 특징을 이용한 건물 인식기법 (Building Recognition using Image Segmentation and Color Features)

  • 허정훈;이민철
    • 로봇학회논문지
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    • 제8권2호
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    • pp.82-91
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    • 2013
  • This paper proposes a building recognition algorithm using watershed image segmentation algorithm and integrated region matching (IRM). To recognize a building, a preprocessing algorithm which is using Gaussian filter to remove noise and using canny edge extraction algorithm to extract edges is applied to input building image. First, images are segmented by watershed algorithm. Next, a region adjacency graph (RAG) based on the information of segmented regions is created. And then similar and small regions are merged. Second, a color distribution feature of each region is extracted. Finally, similar building images are obtained and ranked. The building recognition algorithm was evaluated by experiment. It is verified that the result from the proposed method is superior to color histogram matching based results.

XML 기반의 생물정보학시스템 (XML-BASED BIOINFORMATIC SYSTEMS)

  • 신종환;정무영
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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    • pp.301-305
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    • 2002
  • Bioinformatics can beexplained as the science of developing algorithms, applicatiou tools, and computer databases and so on, for the purpose of supporting and enhancing biological research. Bioinformatic information systems (BIS) typically handle large data sets and the amount of the data goes up exponentially. Another impediment to easy extraction and retrieval of genomic data in BIS is the need to access different sites for similar information. Recently. there has been some attempts to integrate bioinformatics data in the World Wide Web (WWW) among the bioinformatics community by the internet computing technology. However, the work to integrate bioinformatics data on a universal platform has some problems because of the lack of standard, terminologies, semantics, and ontologies about bioinformatics. In this paper, an XML-based BIS architecture is proposed as an integrated BIS framework. The XML and related technologies allow the creation of meaningful information tags to exchange data between various databases as a standard format, and to create more simple interfaces. This integrated BIS framework has bioinformatic architectural components which is used in the Corporate Information Factory (CIF) method.

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