• 제목/요약/키워드: Multi-Region

검색결과 1,483건 처리시간 0.034초

멸티형 공조/냉동시스템의 증발기 과열도 제어 (Evaporator Superheat Control of a Multi-type Air-Conditioning/Refrigeration System)

  • 김태섭;홍금식;손현철
    • 에너지공학
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    • 제10권3호
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    • pp.253-265
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    • 2001
  • 본 논문은 멀티형 공조/냉동시스템의 증발기의 과열도(증발기 2상영역과 출구영역의 냉매기 온도차)제어를 위한 모델링과 PI제어에 관한 연구이다. 먼저, 제어기 설계를 목적으로 하여 압축기, 응축기, 증발기 그리고 전자식 팽창밸브의 동특성이 수학적으로 모델링된다. 증발기에서의 일정한 크기의 과열도 발생을 제어목적으로 한정한 후 전자식 팽창밸브의 전류입력으로부터 증발기의 2상영역과 과열영역에서의 관벽의 온도로의 전달함수들이 유도된다. 비례적분 제어기의 폐루프시스템의 안정성과 제어성능은 Nyquist 안정성 판별법에 의해 분석된다. 시뮬레이션 결과가 제시된다.

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Multi-Level Segmentation of Infrared Images with Region of Interest Extraction

  • Yeom, Seokwon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제16권4호
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    • pp.246-253
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    • 2016
  • Infrared (IR) imaging has been researched for various applications such as surveillance. IR radiation has the capability to detect thermal characteristics of objects under low-light conditions. However, automatic segmentation for finding the object of interest would be challenging since the IR detector often provides the low spatial and contrast resolution image without color and texture information. Another hindrance is that the image can be degraded by noise and clutters. This paper proposes multi-level segmentation for extracting regions of interest (ROIs) and objects of interest (OOIs) in the IR scene. Each level of the multi-level segmentation is composed of a k-means clustering algorithm, an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering initializes the parameters of the Gaussian mixture model (GMM), and the EM algorithm estimates those parameters iteratively. During the multi-level segmentation, the area extracted at one level becomes the input to the next level segmentation. Thus, the segmentation is consecutively performed narrowing the area to be processed. The foreground objects are individually extracted from the final ROI windows. In the experiments, the effectiveness of the proposed method is demonstrated using several IR images, in which human subjects are captured at a long distance. The average probability of error is shown to be lower than that obtained from other conventional methods such as Gonzalez, Otsu, k-means, and EM methods.

다중 이온 플라즈마 파동모델 개발 (WAVE MODEL DEVELOPMENT IN MULTI-ION PLASMAS)

  • 송성희;이동훈;표유선
    • Journal of Astronomy and Space Sciences
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    • 제16권1호
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    • pp.41-52
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    • 1999
  • 지구 주변에는 플라즈마로 가득 차 있고 그것을 매질로 하는 다양한 플라즈마 파동이 존재한다. 우주공간 플라즈마는 여러 종류의 이온과 전자로 구성되어 있고 특히 이온들은 파동의 전파에 많은 영향을 미친다. 다중 이온 플라즈마에서 파동분산 방정식의 해를 구하는 것은 상당히 복잡하다. 따라서, 임의의 자기장, 밀도를 고려하여 우주공간에서 다중 이온 플라즈마에서 파동의 분산관계를 쉽게 알 수 있는 계산모델을 개발하였다. 이 모델로부터 IGRF(International Geomagnetic Reference Field)에서 임의 지점을 지나는 자력선과 관측된 밀도 함수로부터 각 위도별로 가능한 파동들의 성질을 조사하여 위성의 초기 관측 자료 분석에 응용하였다. 예를 들어 POLAR 위성의 관측값 중에서 자기 적도 근처에서 발생되어 자력선을 따라 전파하는 특정한 범위의 주파수 경우 파동의 편극 상태가 변한 위치, 전파경로 등을 본 모델을 이용하여 예측할 수 있었다.

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어안 영상을 이용한 물체 추적 기반의 한 멀티로봇의 대형 제어 (Multi-robot Formation based on Object Tracking Method using Fisheye Images)

  • 최윤원;김종욱;최정원;이석규
    • 제어로봇시스템학회논문지
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    • 제19권6호
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    • pp.547-554
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    • 2013
  • This paper proposes a novel formation algorithm of identical robots based on object tracking method using omni-directional images obtained through fisheye lenses which are mounted on the robots. Conventional formation methods of multi-robots often use stereo vision system or vision system with reflector instead of general purpose camera which has small angle of view to enlarge view angle of camera. In addition, to make up the lack of image information on the environment, robots share the information on their positions through communication. The proposed system estimates the region of robots using SURF in fisheye images that have $360^{\circ}$ of image information without merging images. The whole system controls formation of robots based on moving directions and velocities of robots which can be obtained by applying Lucas-Kanade Optical Flow Estimation for the estimated region of robots. We confirmed the reliability of the proposed formation control strategy for multi-robots through both simulation and experiment.

Black Silicon Layer Formation using Radio-Frequency Multi-Hollow Cathode Plasma System and Its Application in Solar Cell

  • U. Gangopadhyay;Kim, Kyung-Hae;S.K. Dhungel;D. Mangalaraj;Park, J.H.;J. Yi
    • Transactions on Electrical and Electronic Materials
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    • 제4권5호
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    • pp.10-14
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    • 2003
  • A low-cost, large area, random, maskless texturing scheme independent of crystal orientation is expected to have significant impact on terrestrial photovoltaic technology. We investigated silicon surface microstructures formed by reactive ion etching (R IE) in Multi-Hollow cathode system. Desirable texturing effect has been achieved when radio-frequency (rf) power of about 20 Watt per one hollow cathode glow is applied for our RF Multi -Hollow cathode system. The black silicon etched surface shows almost zero reflectance in the visible region as well as in near IR region. The etched silicon surface is covered by columnar microstructures with diameters from 50 to 100 nm and depth of about 500 nm. We have successfully achieved 11.7 % efficiency of mono-crystalline silicon solar cell and 10.2 % for multi-crystalline silicon solar cell.

다시점 객체 공분할을 이용한 2D-3D 물체 자세 추정 (2D-3D Pose Estimation using Multi-view Object Co-segmentation)

  • 김성흠;복윤수;권인소
    • 로봇학회논문지
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    • 제12권1호
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    • pp.33-41
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    • 2017
  • We present a region-based approach for accurate pose estimation of small mechanical components. Our algorithm consists of two key phases: Multi-view object co-segmentation and pose estimation. In the first phase, we explain an automatic method to extract binary masks of a target object captured from multiple viewpoints. For initialization, we assume the target object is bounded by the convex volume of interest defined by a few user inputs. The co-segmented target object shares the same geometric representation in space, and has distinctive color models from those of the backgrounds. In the second phase, we retrieve a 3D model instance with correct upright orientation, and estimate a relative pose of the object observed from images. Our energy function, combining region and boundary terms for the proposed measures, maximizes the overlapping regions and boundaries between the multi-view co-segmentations and projected masks of the reference model. Based on high-quality co-segmentations consistent across all different viewpoints, our final results are accurate model indices and pose parameters of the extracted object. We demonstrate the effectiveness of the proposed method using various examples.

An automatic detection method for lung nodules based on multi-scale enhancement filters and 3D shape features

  • Hao, Rui;Qiang, Yan;Liao, Xiaolei;Yan, Xiaofei;Ji, Guohua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.347-370
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    • 2019
  • In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.

Comparison of Numerical Analysis Methods of APro for the Total System Performance Assessment of a Geological Disposal System

  • Hyun Ho Cho;Hong Jang;Dong Hyuk Lee;Jung-Woo Kim
    • 방사성폐기물학회지
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    • 제21권1호
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    • pp.165-173
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    • 2023
  • Various linear system solvers with multi-physics analysis schemes are compared focusing on the near-field region considering thermal-hydraulic-chemical (THC) coupled multi-physics phenomena. APro, developed at KAERI for total system performance assessment (TSPA), performs a finite element analysis with COMSOL, for which the various combinations of linear system solvers and multi-physics analysis schemes should to be compared. The KBS-3 type disposal system proposed by Sweden is set as the target system and the near-field region, which accounts for most of the computational burden is considered. For comparison of numerical analysis methods, the computing time and memory requirement are the main concerns and thus the simulation time is set up to one year. With a single deposition hole problem, PARDISO and GMRES-SSOR are selected as representative direct and iterative solvers respectively. The performance of representative linear system solvers is then examined through a problem with an increasing number of deposition holes and the GMRES-SSOR solver with a segregated scheme shows the best performance with respect to the computing time and memory requirement. The results of the comparative analysis are expected to provide a good guideline to choose better numerical analysis methods for TSPA.

시드 기반 영역확장기법을 이용한 고해상도 위성영상 분할기법 개발 (High Resolution Satellite Image Segmentation Algorithm Development Using Seed-based region growing)

  • 변영기;김용일
    • 한국측량학회지
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    • 제28권4호
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    • pp.421-430
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    • 2010
  • 영상분할은 관심대상이 되는 물체의 영역을 추출하기 위한 객체기반 영상분류의 전처리과정으로서 원격탐사 영상분석에서 그 중요성 날로 커지고 있다. 본 연구에서는 개선된 SRG(Seeded Region Growing) 기법과 영역병합과정을 이용하여 고해상도 영상분할을 위한 새로운 방법을 제안한다. 이를 위해 우선 QuickBird 융합영상에서 추출된 다중분광 에지정보를 이용하여 초기 시드포인트를 자동으로 추출하였다. 추출된 시드포인트에 영상의 기하학적인 정보와 분광정보를 반영할 수 있는 개선된 SRG 기법을 적용하여 초기 영상 분할을 수행하였다. 최종적으로 앞선 초기분할 결과 향상을 위해 분할된 영역의 평균분광정보를 활용하여 영역병합을 수행하여 최종분할결과를 도출하였다. 제안된 기법의 효율성을 평가하기 위해 무감독 영상분할 평가측정치를 이용하여 정확도 평가를 수행하였다. 실험결과 제안한 기법은 고해상도 영상분할에 유용하게 적용될 수 있으리라 판단된다.

Centralized, Distributed, Hybrid Task Planning Framework for Multi-Robot System in Diverse Communication Status

  • Moon, Jiyoun
    • Journal of Positioning, Navigation, and Timing
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    • 제10권3호
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    • pp.215-220
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    • 2021
  • As the role of robots expands, flexible task planning methods are attracting attention from various domains. Many task planning frameworks are introduced to efficiently work in a wide range of areas. In order to work well in a broad region with multiple robots, various communication conditions should be controlled by task planning frameworks. However, few methods are proposed. In this paper, we propose mission planning methods according to the communication status of robots. The proposed method was verified through experiments assuming different communication states with a multi-robot system.