• 제목/요약/키워드: Overlapping method

검색결과 629건 처리시간 0.024초

SRM 고정자와 회전자 중첩에 따른 인덕턴스 계산 (Calculating Inductance of Switched Reluctance Motors with overlapping soles of rotor and stator)

  • 최경호;백원식;김동희;김민회
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 B
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    • pp.933-935
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    • 2001
  • This paper presents a calculating method for inductance of the Switched Reluctance Motor(SRM) for torque characteristics and driving by analytical model. The approaches for calculating inductance have taken vary from detailed finite element analysis(FEA) and Fitting method in magnetization curves using complex nonlinear magnetic circuit models. But those methods have not satisfactory approach for machine performance calculations, because of having a long time and remodeling for analyses, therefore thus an alternative approach is required. So it is suggested simply calculating method of the inductance based on designed data of machinery by analytical model in unaligned and aligned rotor. In order to prove the calculating, there are compare with analytical FEM, direct measurement, this method, and simulation. The compared result is shown to obtain good accuracy.

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로컬 히스토그램 명세화에 기반한 화질 개선 (Image Enhancement Based on Local Histogram Specification)

  • 울럭벡 쿠사노브;이창훈
    • 한국지능시스템학회논문지
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    • 제23권1호
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    • pp.18-23
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    • 2013
  • In this paper we propose an image enhancement technique based on histogram specification method over local overlapping regions referred as Local Histogram Specification. First, both reference and original images are splitted into local regions that each overlaps half of its adjacent regions and general histogram specification method is used between corresponding local regions of reference and original image. However it produces noticeable boundary effects. Linear weighted image blending method is used to reduce this effect in order to make seamless image and we also proposed new technique dealing with over-enhanced contrast areas. We satisfied with our experimental results that showed better enhancement accuracy and less noise amplifications compared to other well-known image enhancement methods. We conclude that the proposed method is well suited for motion detection systems as a responsible part to overcome sudden illumination changes.

TWO-DIMENSIONAL MUTI-PARAMETERIZED SCHWARZ ALTERNATING METHOD

  • Kim, Sang-Bae
    • Journal of applied mathematics & informatics
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    • 제29권1_2호
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    • pp.161-171
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    • 2011
  • The convergence rate of a numerical procedure based on Schwarz Alternating Method(SAM) for solving elliptic boundary value problems depends on the selection of the interface conditions applied on the interior boundaries of the overlapping subdomains. It has been observed that the Robin condition (mixed interface condition), controlled by a parameter, can optimize SAM's convergence rate. In [7], one had formulated the multi-parameterized SAM and determined the optimal values of the multi-parameters to produce the best convergence rate for one-dimensional elliptic boundary value problems. However it was not successful for two-dimensional problem. In this paper, we present a new method which utilizes the one-dimensional result to get the optimal convergence rate for the two-dimensional problem.

PRECONDITIONERS FOR THE PRESSURE-CORRECTION METHOD APPLIED TO THE UNSTEADY STOKES PROBLEM

  • Ghahreman, N.;Kerayechian, A.
    • Journal of applied mathematics & informatics
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    • 제16권1_2호
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    • pp.307-321
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    • 2004
  • In this paper, the unsteady Stokes problem is considered and also the pressure-correction method for the problem is described. At a fixed time level, we reduce the problem to two symmetric positive definite problems which depend on a time step parameter. Linear systems that arise from the problems are large, sparse, symmetric, positive definite and ill-conditioned as the time step tends to zero. Preconditioned problems based on an additive Schwarz method for solving the symmetric positive definite problems are derived and preconditioners are defined implicitly. It will be shown that the rate of convergence is independent of the mesh parameters as well as the time step size.

이진 이미지에 대한 픽셀값 가중치를 이용한 자료 은닉 기법 연구 (A Data Hiding Method of Binary Images Using Pixel-value Weighting)

  • 정기현
    • 한국군사과학기술학회지
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    • 제11권4호
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    • pp.68-75
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    • 2008
  • This paper proposes a new data hiding method for binary images using the weighting value of pixel-value differencing. The binary cover image is partitioned into non-overlapping sub-blocks and find the most suitable position to embed a secret bit for each sub-block. The proposed method calculates the weighted value for a sub-block to pivot a pixel to be changed. This improves the image quality of the stego-image. The experimental results show that the proposed method achieves a good visual quality and high capacity.

일반가로망에서 교통정보제공을 위한 n-path 알고리듬의 개발 (Development of a n-path algorithm for providing travel information in general road network)

  • 임용택
    • 대한교통학회지
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    • 제22권4호
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    • pp.135-146
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    • 2004
  • 교통정보에 의한 교통량분산 효과를 실질적으로 얻기 위해서는 좌회전금지, U-turn, P-turn과 같은 교차로내 회전제약이 존재하는 일반 가로망에서 적정수의 경로를 도출하여 제공해야 한다. 이를 위하여 k-path 알고리듬이 주로 이용되고 있으나 도출된 경로들간에 중복성이 문제가 되고 있다. 본 연구는 교차로내 회전제약들을 고려하면서 교통정보제공을 위한 n개의 최단경로탐색(n-path) 알고리듬을 개발하는 데 연구의 목적이 있다 여기서 n-path 알고리듬은 기존 k-path 알고리듬과는 차이가 있는데, k-path 알고리듬은 기종점간 통행비용을 기초로 첫 번째 최단경로외 2번째 최단경로, 3번째 최단경로,....식으로 k개의 최단경로를 찾는 데 비해, n-path 알고리듬은 각 경로간 일정수준 이상의 경로중첩(path overlap)이 발생하지 않도록 하면서 n개의 경로를 탐색하는 방법이다. 이를 위하여 첫 번째 탐색된 경로를 중심으로 통행비용과 경로중복수준을 판단하여 이후 경로들을 탐색하게 된다. 또한, 본 연구에서 제시하는 n-path 알고리듬은 기존 연구와는 달리 교차로상 회전제약을 반영하기 위하여 가로망을 확장할 필요가 없다는 장점이 있다. 개발된 알고리듬을 몇 개의 예제 네트워크에 적용하여 평가하였으며 평가결과 원하는 결과를 도출하고 있음을 확인할 수 있었다.

The Overlapping Running Suture Method Using Single Knotless Barbed Absorbable Suture Material for Abdominal Wall Closure after Single Incision Laparoscopic Appendectomy: Comparison with the Traditional Interrupted Closure Technique

  • Kim, Dong Hyun;Park, Jung Ho;Joo, Jung Il;Jeon, Jang Yong;Lim, Sang Woo
    • Journal of Minimally Invasive Surgery
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    • 제21권4호
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    • pp.160-167
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    • 2018
  • Purpose: The aim of our study was to present an abdominal wall closure technique using barbed suture $V-Loc^{TM}$ 90 after single incision laparoscopic appendectomy (SILA) and to compare perioperative outcomes with conventional layer by layer abdominal wall closure after SILA. Methods: From March 2014 to July 2016, a retrospective case-control study was conducted for a total of 269 consecutive patients who underwent SILA. According to abdominal wall closure methods, 129 patients were classified into the V-Loc closure group and 140 patients were assigned into the conventional layer by layer closure group. In the V-Loc group, abdominal wall closure was performed from the fascia to the skin with a single thread of unidirectional absorbable barbed suture $V-Loc^{TM}$ 90 2-0 using continuous running suture and reverse overlapping reinforced running technique. Subcutaneous closure and subcuticular suture were performed with the remaining portion of V-Loc. Results: The V-Loc closure group showed shorter total operation time ($40.0{\pm}15.4min$ vs. $44.9{\pm}16.3min$, p=0.013) and abdominal wall cusing continuous running suture and reverse overlapping reinforced running technique. Subcutaneous closure and subcuticular suture were performed with the remaining portion of V-Loc. Results: The V-Loc closure group showed shorter total operation time losure time ($5.5{\pm}0.9min$ vs. $6.5{\pm}0.8min$, p<0.001). Postoperative incision length was significantly shorter in the V-Loc closure group ($1.1{\pm}0.3cm$ vs. $1.8{\pm}0.4cm$, p<0.001). Postoperative wound pain, time to resume diet, postoperative hospital stay, complications including surgical site infection, or mean patient satisfaction score at one month after hospital discharge was not significantly different between the two groups. Conclusion: In conclusion, unidirectional knotless barbed suture is a safe alternative method for abdominal wall closure after SILA. It can save time while providing comparable cosmesis.

이미지 처리를 통한 공기 중 섬유의 자동계수 알고리즘 프로그램 개발 (Developing Image Processing Program for Automated Counting of Airborne Fibers)

  • 최성원;이희공;이종일;김현욱
    • 한국산업보건학회지
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    • 제24권4호
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    • pp.484-491
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    • 2014
  • Objectives: An image processing program for asbestos fibers analyzing the gradient components and partial linearity was developed in order to accurately segment fibers. The objectives were to increase the accuracy of counting through the formulation of the size and shape of fibers and to guarantee robust fiber detection in noisy backgrounds. Methods: We utilized samples mixed with sand and sepiolite, which has a similar structure to asbestos. Sample concentrations of 0.01%, 0.05%, 0.1%, 0.5%, 1%, 2%, and 3%(w/w) were prepared. The sand used was homogenized after being sieved to less than $180{\mu}m$. Airborne samples were collected on MCE filters by utilizing a personal pump with 2 L/min flow rate for 30 minutes. We used the NIOSH 7400 method for pre-treating and counting the fibers on the filters. The results of the NIOSH 7400 method were compared with those of the image processing program. Results: The performance of the developed algorithm, when compared with the target images acquired by PCM, showed that the detection rate was on average 88.67%. The main causes of non-detection were missing fibers with a low degree of contrast and overlapping of faint and thin fibers. Also, some duplicate countings occurred for fibers with breaks in the middle due to overlapping particles. Conclusions: An image detection algorithm that could increase the accuracy of fiber counting was developed by considering the direction of the edge to extract images of fibers. It showed comparable results to PCM analysis and could be used to count fibers through real-time tracking by modeling a branch point to graph. This algorithm can be utilized to measure the concentrations of asbestos in real-time if a suitable optical design is developed.

그래프 이력 데이터 접근을 위한 효과적인 저장 관리 기법 (Efficient Storage Management Scheme for Graph Historical Retrieval)

  • 김기훈;김이나;최도진;김민수;복경수;유재수
    • 한국콘텐츠학회논문지
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    • 제18권2호
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    • pp.438-449
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    • 2018
  • 최근 소셜 네트워크, 인용 네트워크 등 여러 분야에서 다양한 그래프 데이터가 활용되고 있다. 시간에 따라 그래프가 동적으로 변화함에 따라 변경 내용 추적 및 특정 시점 그래프 검색을 위해 그래프 이력 데이터를 관리하는 것이 필요하다. 대부분의 이력 데이터는 시간에 따라 부분적인 변화가 발생하기 때문에 시간 단위로 데이터를 저장할 경우 변경되지 않은 데이터가 중복 저장된다. 본 논문에서는 시간별 그래프의 중복 저장을 최소화하기 위한 그래프 이력 저장 관리 기법을 제안한다. 제안하는 기법은 그래프의 변화를 계속적으로 탐지하여 과거 그래프와 중복되는 서브 그래프를 하나의 중복 스냅샷에 저장한다. 중복 스냅샷에는 다수의 델타 스냅샷이 연결되어 각 시간에 따른 변화 데이터를 유지한다. 중복 스냅샷에 저장된 중복 데이터를 공통으로 관리하여 공간의 효율을 향상시킨다. 또한, 해당 시점의 그래프를 탐색하기 위해서 중복 스냅샷과 델타 스냅샷을 연결하였다. 제안하는 기법의 우수성을 보이기 위해 다양한 성능평가를 수행한다.

GIS와 통계의 결합에 의한 부동산가격의 탐색적 분석 - 헤도닉 가격 기법을 중심으로 - (Exploratory Analysis of Real Estate Price using Tight Coupling with GIS and Statistics - Focusing on Hedonic Price Method -)

  • 서경천
    • 한국지리정보학회지
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    • 제9권3호
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    • pp.67-81
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    • 2006
  • 본 논문에서는 전통적 헤도닉 모델에서 나타나는 공간적 문제들을 극복하기 위한 하나의 분석적 대안을 제시한다. 도시 전체를 대상으로 하는 포괄적 모수 추정방법에서 일어나는 문제점을 극복하기 위해 중첩되는 주변지역의 개념을 도입하였고 헤도닉 모델을 효율적으로 수행하기 위해 GIS와 통계의 긴밀한 연결을 위한 서드파티 프로그램을 개발하였다. 그리고 이것을 활용하여 부동산 가격에 영향을 미치는 입지변수들의 공간적 변동을 분석하였다. 사례지역에 대해 분석한 결과, 도심의 영향력이 도시전체에 영향을 미치는 것이 아니라 도심에 영향을 받는 하부지역에만 나타나며 다른 입지변수들의 계수도 공간에 따라 차이가 있음을 보여준다. 지리정보시스템과 통계의 긴밀한 연결은 부동산가격 분석에 있어서 효율적으로 탐색할 수 있는 강력한 도구를 제공한다.

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