• 제목/요약/키워드: Adaptive Setting

검색결과 118건 처리시간 0.024초

AT-Snoop 프로토콜의 지역 재전송 시간에 관한 연구 (A Study on Local Retransmission Timeout of AT-Snoop Protocol)

  • 조용범;조성준
    • 한국통신학회논문지
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    • 제30권4B호
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    • pp.218-225
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    • 2005
  • Snoop 프로토콜은 유무선이 통합된 망에서 효율적으로 TCP 전송률을 향상시킬 수 있는 프로토콜이지만 연속적인 패킷 손실이 발생하는 무선 링크에서 사용되는 경우 지역 재전송을 비효율적으로 수행하는 문제점이 있다. AT-Snoop 프로토콜은 Snoop 프로토콜을 기반으로 하면서 Adaptive Timer를 사용하여 이러한 Snoop 프로토콜의 단점을 개선한 프로토콜이다. 본 논문에서는 AT-Snoop 프로토콜의 TCP 전송률 성능을 무선 링크 환경을 변화시키면서 분석하구 각 무선 링크 환경에서 향상된 TCP 전송률을 얻기 위한 AT-Snoop 프로토콜의 파라미터 값들을 도출하였다. 컴퓨터 시뮬레이션을 통해 AT-Snoop 프로토콜의 두 파라미터인 지역 재전송 임계값과 지역 재전송 시간값이 무선 링크에서의 페이딩의 변화 속도와 밀접한 관계가 있음을 확인할 수 있었다. 지역 재전송 임계값은 무선 링크의 평균 WSRTT(Wireless Smoothed Round Trip Time)보다, 지역 재전송 시간은 무선 링크의 평균 불량 기간보다 각각 약간 크게 설정하는 것이 AT-Snoop 프로토콜을 사용할 때 높은 TCP 전송률을 얻을 수 있었다.

객체 추적을 위한 적응적 배경영상 생성 방법 (A Method of Adative Background Image Generation for Object Tracking)

  • 지정규;이광형;김용균;오해석
    • 정보처리학회논문지B
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    • 제10B권3호
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    • pp.329-338
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    • 2003
  • 실시간 영상에서 객체 추적은 수년간 컴퓨터 비전 및 여러 실용적 응용 분야에서 관심을 가지는 주제 중 하나이다. 하지만 배경영상의 잡음을 객체로 인식하는 오류로 인하여 추출하고자 하는 객체를 찾지 못하는 경우가 있다. 본 논문에서는 실시간 영상에서 적응적 배경영상을 이용하여 객체를 추출하고 추적하는 방법을 제안한다. 입력되는 영상에서 배경영역의 잡음을 제거하고 조명에 강인한 객체 추출을 위하여 객체영역이 아닌 배경영역 부분을 실시간으로 갱신함으로써 적응적 배경영상을 생성한다. 그리고 배경영상과 카메라로부터 입력되는 입력영상과의 차를 이용하여 객체를 추출한다 추출된 객체의 내부점을 이용하여 최소사각영역을 설정하고, 이를 통해 객체를 추적한다. 아울러 제안방법의 성능에 대한 실험결과를 기존 추적알고리즘과 비교, 분석하여 평가한다.

영상복원(映像復原)을 위한 변형(變形)된 적응(適應) 스위칭 메디안 필터 (A Modified Adaptive Switching Median Filter for Image Restoration)

  • ;김남호
    • 한국정보통신학회논문지
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    • 제11권7호
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    • pp.1373-1379
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    • 2007
  • 본 논문에서는 임펄스 잡음검출과 필터링을 기반으로 하는 변형된 적응 스위칭 메디안 필터 알고리즘을 제안하였다. 임펄스 잡음검출 과정에서는 마스크 내의 화소값의 차에 의해 설정된 임계값을 사용하며, 이 때 잡음으로 판단된 화소들에 대하여 필터링 과정을 수행한다. 제안한 필터링 방법은 국부 잡음밀도에 상응하여 마스크 크기를 가변하며, 필터링을 반복 수행한다. 그리고 제안한 방법의 시뮬레이션을 위해, 다양한 밀도의 임펄스 잡음을 원영상에 중첩하여 테스트 영상으로 사용하였으며, 기존의 방법과 비교하였다. 또한 평가를 위한 기준으로 PSNR을 적용하였으며, 시뮬레이션 결과에서 제안한 알고리즘은 우수한 성능을 나타내었다.

세그멘테이션 기반 차선 인식 네트워크를 위한 적응형 키포인트 추출 알고리즘 (Adaptive Key-point Extraction Algorithm for Segmentation-based Lane Detection Network)

  • 이상현;김덕수
    • 한국컴퓨터그래픽스학회논문지
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    • 제29권1호
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    • pp.1-11
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    • 2023
  • 딥러닝 기반의 이미지 세그멘테이션은 차선 인식을 위해 널리 사용되는 접근 방식 중 하나로, 차선의 키포인트를 추출하기 위한 후처리 과정이 필요하다. 일반적으로 키포인트는 사용자가 지정한 임계값을 기준으로 추출한다. 하지만 최적의 임계값을 찾는 과정은 큰 노력을 요구하며, 데이터 세트(또는 이미지)마다 최적의 값이 다를 수 있다. 본 연구는 사용자의 직접 임계값 지정 대신, 대상의 이미지에 맞추어 적절한 임계값을 자동으로 설정하는 키포인트 추출 알고리즘을 제안한다. 본 논문의 키포인트 추출 알고리즘은 차선 영역과 배경의 명확한 구분을 위해 줄 단위 정규화를 사용한다. 그리고 커널 밀도 추정을 사용하여, 각 줄에서 각 차선의 키포인트를 추출한다. 제안하는 알고리즘은 TuSimple과 CULane 데이터 세트에 적용되었으며, 고정된 임계값 사용 대비 정확도 및 거리오차 측면에서 1.80%p와 17.27% 향상된 결과를 얻는 것을 확인하였다.

Optimal Temperature Tracking Control of a Polymerization Batch Reactor by Adaptive Input-Output Linearization

  • Noh, Kap-Kyun;Dongil Shin;Yoon, En-Sup;Rhee, Hyun-Ku
    • Transactions on Control, Automation and Systems Engineering
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    • 제4권1호
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    • pp.62-74
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    • 2002
  • The tracking of a reference temperature trajectory in a polymerization batch reactor is a common problem and has critical importance because the quality control of a batch reactor is usually achieved by implementing the trajectory precisely. In this study, only energy balances around a reactor are considered as a design model for control synthesis, and material balances describing concentration variations of involved components are treated as unknown disturbances, of which the effects appear as time-varying parameters in the design model. For the synthesis of a tracking controller, a method combining the input-output linearization of a time-variant system with the parameter estimation is proposed. The parameter estimation method provides parameter estimates such that the estimated outputs asymptotically follow the measured outputs in a specified way. Since other unknown external disturbances or uncertainties can be lumped into existing parameters or considered as another separate parameters, the method is useful in practices exposed to diverse uncertainties and disturbances, and the designed controller becomes robust. And the design procedure and setting of tuning parameters are simple and clear due to the resulted linear design equations. The performances and the effectiveness of the proposed method are demonstrated via simulation studies.

제화용 라스트의 새로운 DAD Data화 기법 및 적응형 라스팅기의 제어를 위한 데이터 추출 (New CAD Datarization Technique of Shoe Lasts and Data Extraction Scheme for the control of the Adaptive Lasting Machine)

  • 김승호;장광걸;허훈
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집C
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    • pp.122-127
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    • 2001
  • Lasting machines for shoe manufacturing are continuously developed with the aid of automation and Computer Aided Manufacturing (CAM). Although automation and CAM techniques have tremendously reduced the labor in shoe manufacturing field, there still remain some parts manufactured by experts. In order to enhance the capability and efficiency of machines for labor-free shoe manufacturing, CAD data of a shoe last is indispensable. While CAD datarization takes the fundamental role in the shoe design as well as the shoe manufacturing, there has been little research for the CAD datarization of a shoe last. In this paper, a new procedure for CAD datarization of a shoe last using finite element patches is proposed and some data for the control part of the shoe lasting machine are extracted and interpolated from the CAD data. The outer line of a shoe-last sole is interpolated by a tension spline method and bonding lines are extracted from the shoe CAD data. Finally, initial setting data for the lasting machine are extracted from the last CAD data and initial setup parts of the lasting machine.

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An adaptive method of multi-scale edge detection for underwater image

  • Bo, Liu
    • Ocean Systems Engineering
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    • 제6권3호
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    • pp.217-231
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    • 2016
  • This paper presents a new approach for underwater image analysis using the bi-dimensional empirical mode decomposition (BEMD) technique and the phase congruency information. The BEMD algorithm, fully unsupervised, it is mainly applied to texture extraction and image filtering, which are widely recognized as a difficult and challenging machine vision problem. The phase information is the very stability feature of image. Recent developments in analysis methods on the phase congruency information have received large attention by the image researchers. In this paper, the proposed method is called the EP model that inherits the advantages of the first two algorithms, so this model is suitable for processing underwater image. Moreover, the receiver operating characteristic (ROC) curve is presented in this paper to solve the problem that the threshold is greatly affected by personal experience when underwater image edge detection is performed using the EP model. The EP images are computed using combinations of the Canny detector parameters, and the binaryzation image results are generated accordingly. The ideal EP edge feature extractive maps are estimated using correspondence threshold which is optimized by ROC analysis. The experimental results show that the proposed algorithm is able to avoid the operation error caused by manual setting of the detection threshold, and to adaptively set the image feature detection threshold. The proposed method has been proved to be accuracy and effectiveness by the underwater image processing examples.

A Modified Random Early Detection Algorithm: Fuzzy Logic Based Approach

  • Yaghmaee Mohammad Hossein
    • Journal of Communications and Networks
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    • 제7권3호
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    • pp.337-352
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    • 2005
  • In this paper, a fuzzy logic implementation of the random early detection (RED) mechanism [1] is presented. The main objective of the proposed fuzzy controller is to reduce the loss probability of the RED mechanism without any change in channel utilization. Based on previous studies, it is clear that the performance of RED algorithm is extremely related to the traffic load as well as to its parameters setting. Using fuzzy logic capabilities, we try to dynamically tune the loss probability of the RED gateway. To achieve this goal, a two-input-single-output fuzzy controller is used. To achieve a low packet loss probability, the proposed fuzzy controller is responsible to control the $max_{p}$ parameter of the RED gateway. The inputs of the proposed fuzzy controller are 1) the difference between average queue size and a target point, and 2) the difference between the estimated value of incoming data rate and the target link capacity. To evaluate the performance of the proposed fuzzy mechanism, several trials with file transfer protocol (FTP) and burst traffic were performed. In this study, the ns-2 simulator [2] has been used to generate the experimental data. All simulation results indicate that the proposed fuzzy mechanism out performs remarkably both the traditional RED and Adaptive RED (ARED) mechanisms [3]-[5].

림프부종 환자의 일상생활 재편성 경험 (Reorganization of the Everyday Lives of Women with Lymphedema)

  • 조명옥;정향미
    • 성인간호학회지
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    • 제19권2호
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    • pp.191-206
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    • 2007
  • Purpose: This qualitative study aimed to understand the experiences of reorganization of everyday lives among the women with chronic health problem. Methods: In this study, the approach and its process of sociology of everyday lives were adopted. Data for the study came from 6 informants and 9 family members of the informants by interview and participant-observation from January, 2004 to May, 2006. Qualitative content analyzing methods were adopted. Results: Informants' everyday lives were reorganized as follows. During the experiences of shock from unpleasant and unclear symptoms of their body, their sight fixed on the body part. Their time also fixed on a point of present. They started to wander from medical care to folk and lay care. After they were informed that the health problem could not be treated completely, they reduced the world of everyday life and protected themselves from the chaotic unfamiliar world by setting -a- side duties as a family member and severing unessential social relationship. As they achieved a skill for managing their health problem, they gained their former pattern of everyday lives as a woman, a family member, and a social member. Finally, they created a new life world. Conclusion: We need more study on the development of an adaptive strategy by the informants, to intervene in the crisis of everyday life.

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An Integrated Design Process for Manufacturing and Multidisciplinary Design Under System Uncertainty

  • Byeng Dong
    • International Journal of Precision Engineering and Manufacturing
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    • 제5권4호
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    • pp.61-68
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    • 2004
  • Necessity to address engineering system uncertainties in design processes has long been acknowledged. To obtain quality of product, a safety factor is traditionally used by many design engineers due to its easy of use and comprehension. However, the safety factor approach often yields either conservative or unreliable designs, since it ignores the type of probability distribution and the mechanism of uncertainty propagation from the input to the output. For a consistent reliability-based design, two fundamental issues must be investigated thoroughly. First, the design-decision process that clearly identifies a mechanism of uncertainty propagation under system uncertainties needs to be developed, which must be an efficient and accurate process. To identify the mechanism more effectively, an adaptive probability analysis is proposed by adaptively setting probability levels through a posteriori error estimation. The second is to develop the design process that not only yields a high quality design but also a cost-effective optimum design from manufacturing point of view. As a result, a response surface methodology is specially developed for RBDO, thus enhancing numerical challenges of efficiency and complicatedness. Side crashworthiness application is used to demonstrate the integrated design process for product and manufacturing process design.