• 제목/요약/키워드: automatical system

검색결과 54건 처리시간 0.023초

자동 입찰정책 스켈줄링을 이용한 인터넷 경매 에이전트 시스템 설계 및 구현 (Design and Implementation of an Internet Auction Agent System using Scheduling for Auto-bidding Policy)

  • 이종희;김태석;이근왕;오해석
    • 한국정보처리학회논문지
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    • 제7권5S호
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    • pp.1620-1628
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    • 2000
  • Existing internet auction systems have adopted the form which gives a win to the auction bidder who proposes the top bid price for the goods posted on the auction board. But they haven't been satisfying the automatical one-step processing for user's convenience because they must require continuous care of user for bidding and checking as well as neglecting the convenience of user interface while participating in the electronic bidding system. The AuctionBot system of Michigan Univ. is known as the representative internet auction system. It has merit allowing the various kids of bidding. But it does not support automatic a process which can replaces what user has to do using an agent. To improve this kind of user interface, we propose an automatic bidding price strategy algorithm which composes the auction system using agent and design for auto-bidding system using agent so that I can replace user's bidding activity. This mechanism gives an auction system the efficient bidding price strategy.

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다양한 CCTV 카메라를 지원하는 스마트 케어 관제 시스템 (A Smart Care Surveillance System supporting Various CCTV Cameras)

  • 김경태;김기용;성동수;이건배
    • 전기전자학회논문지
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    • 제17권2호
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    • pp.104-110
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    • 2013
  • 본 논문에서는 다양한 CCTV 카메라를 지원하는 스마트 케어 관제 시스템을 소개한다. 위급 상황 발생 시 신고자의 상황을 실시간으로 관찰하기 위하여 서버에서는 신고자의 위치 좌표를 기반으로 CCTV 카메라의 팬, 틸트, 줌 제어를 자동으로 수행한다. 또한 신고자를 찾아 촬영하며 영상처리 및 갱신되는 위치 정보를 이용하여 신고자를 추적한다. 다양한 CCTV 카메라를 지원하기 위하여 Genetec 개발 툴을 이용하여 관제 시스템을 구현한다. 스마트 케어 관제 시스템을 이용하여 신고자의 위급 상황에 대하여 구조자는 신고자의 CCTV 영상을 빠르게 제어하고 감시할 수 있기 때문에 구조 작업의 효율이 개선될 수 있다.

바코드 인식/검사를 위한 영상인식 알고리즘 (In Image Recognition Algorithm for Bar-Code Recognition/Inspection)

  • 김기순;최종문;김준식
    • 융합신호처리학회논문지
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    • 제2권3호
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    • pp.1-8
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    • 2001
  • 본 논문에서는 산업용으로 주로 사용되고 있는 바코드(code 93)를 비전시스템을 이용하여 자동으로 인식할 수 있는 알고리즘을 제안하였다. 제안된 알고리즘은 입력된 바코드 영상에 대해 회전에 관계없이 각도를 자동 추출하여, 모듈 (module)을 구성하는 화소들을 추출한다. 각 모듈에 대해 적웅적인 방법으로 바(bar)와 스페이스(space)를 구성하는 엘리먼트(element) 값을 구하고, 심벌 문자들의 엘리먼트 값을 9개의 그룹으로 나누어 바코드 값을 인식한다. 여러 종류의 바코드 영상을 대상으로 모의실험을 수행하여, 제안한 알고리즘의 성능을 검증하였다.

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복잡 지형의 대기질 예측을 위한 지상자료동화의 효용성에 관한 수치연구 (Numerical Study on Surface Data Assimilation for Estimation of Air Quality in Complex Terrain)

  • 이순환;김헌숙;이화운
    • 한국대기환경학회지
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    • 제20권4호
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    • pp.523-537
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    • 2004
  • In order to raise the accuracy of meteorological data, several numerical experiments about the usefulness of data assimilation to prediction of air pollution was carried out. Used data for data assimilation are surface meteorological components observed by Automatical Weather System with high spatial density. The usage of surface data assimilation gives changes of temperature and wind fields and the change caused by the influence of land-use on meterological simulation is more sensitive at night than noon. The data quality in assimilation it also one of the important factors to predict the meteorological field precisely and through the static IOA (Index of Agreement), simulated meteorological components with selected limited surface data assimilation are agree well with observations.

FPD용 박막 두께 자동 측정을 위한 지능화 알고리즘 (Intelligent algorithm for automatical measuring FPD thickness)

  • 문찬우;최우경;김성현;김용민;전홍태
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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    • pp.231-234
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    • 2006
  • 과거 디스플레이 장치로서 사용되던 CRT를 대신하여, 상대적으로 두께가 않고 가벼운 영상장치인 평판 디스플레이(Flat Panel Display, FPD)의 사용이 급증하고 있다. 이렇게 평판표시장치(Flat Panel Display) 산업의 폭발적인 성장과 함께 새로운 공정개발을 통해 짧은 시간에 더 많은 양을 생산하고, 불량률을 낮추는가에 생산업체의 사활이 달려있다. 본 논문은 FPD 공정에서 품질을 결정하는 여러 요인 가운데 비중이 큰 박막 두께의 제어를 지능화 알고리즘을 통해 해결하고자 한다. 이는 불필요한 과정을 줄여 공정경비를 절감 및 소요시간을 단축하고, 정밀하게 두께를 측정하는 것을 가능하게 한다. 마지막으로, 제안한 알고리즘을 광 간섭 두께 측정기를 통해 얻은 실제 값을 가지고 시료의 두께를 측정한다.

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렌즈의 왜곡 모델을 이용한 카메라 보정에 관한 연구 (A Study on the Camera Calibration Using Lens Distortion Model)

  • Dong Min Woo
    • 전자공학회논문지B
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    • 제31B권2호
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    • pp.56-68
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    • 1994
  • The objective of camera calibration is to determine the internal optical characteristics of camera and the three-dimensional position and orientation of camera with respect to the real world. Calibration procedure for computer vision should be automatical, accurate and applicable to general purpose cameras and lenses. In this paper, we present camera calibration method which meets the above requirements. The algorithm is based on the two-stage method which takes into account lens distortion in the second stage. In this paper, the overdetermined nonlinear system is established in terms of the constraints to all directions and our calibration algorithm is proposed which is constructed by using Marquardt iterations and our calibration algorithm is proposed which is constructed by using Marquardt iteration method in solving nonlinear equations. Experimental results indicate that lens distortion should be taken into consideration for the calibration of the general-purpose lens. With 24 calibration points acquired out of 512$\times$512 image, the proposed algorithm came up with average error of less than 1 pixel and showed a higher accuracy over the conventional two-stage method.

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회전 및 거리에 무관한 바코드 영상인식 알고리즘에 관한 연구 (A Study on the Bar-Code Image Recognition Algorithm unrelated to Rotation / Distance)

  • 김기순;최종문;김준식
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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    • pp.273-276
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    • 2001
  • 본 논문에서는 산업용으로 주로 사용되고 있는 바코드(code 73)글 비전시스템을 이용하여 자동으로 인식할 수 있는 알고리즘을 제안하였다. 제안된 알고리즘은 입력된 바코드 영상에 대해 회전에 관계없이 각도를 자동 추출하여, 모듈 (module)을 구성하는 화소들을 추출한다. 각 모듈에 대해 적응적인 방법으로 바(bar)와 스페이스(space)를 구성하는 엘리먼트(element) 값을 구하고, 심벌 문자들의 엘리먼트 값을 9개의 그룹으로 나누어 바코드 값을 인식한다. 여러 종류의 바코드 영상을 대상으로 모의실험을 수행하여, 제안한 알고리즘의 성능을 검증하였다.

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동영상의 컬러 및 에지 정보에 기초한 Shape영역 segmentation 기법 (Shape region segmentation method using color and edge characteristics of moving images)

  • 박진남;이재덕;윤성수;허영
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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    • pp.145-148
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    • 2002
  • A study on image searching and management techniques is actively developed by user requirements for multimedia information that are existing as images, audios, texts data from various information processing devices. We had been studied an automatical shape region segmentation method using color. distribution and edge characteristics of moving images for. contents-base description. The Proposed method uses a color information quantized on human visual system and extracts overlapped regions to be matched by using edge characteristics of the image frame. The performance of the proposed method is represented by similarity for comparison to a segmented image and original image.

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유전자 알고리즘을 이용한 파라미터 추정모드기반 하이브리드 퍼지 제어기의 설계 (The Design of Hybrid Fuzzy Controller Based on Parameter Estimation Mode Using Genetic Algorithms)

  • 이대근;오성권;장성환
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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    • pp.228-231
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    • 2000
  • A hybrid fuzzy controller by means of the genetic algorithms is presented. The control input for the system in the HFC is a convex combination of the FLC's output in transient state and PlD's output in steady state by a fuzzy variable. The HFC combined a PID controller with a fuzzy controller concurrently produces the better output performance than any other controller. A auto-tuning algorithms is presented to automatically improve the performance of hybrid fuzzy controller using genetic algorithms. The algorithms estimates automatical Iy the optimal values of scaling factors, PID parameters and membership function parameters of fuzzy control rules. Especially, in order to auto-tune scaling factors and PID parameters of HFC using GA three kinds of estimation modes are effectively utilized. The HFCs are applied to the second process with time-delay. Computer simulations are conducted at step input and the performances of systems are evaluated and also discussed in ITAE(Integral of the Time multiplied by the Absolute value of Error ) and other ways.

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젖소 사양기술의 자동화를 위한 연구 1. 임신유지 여부 및 질병자동진단 시스템개발 (Studies on Automatization of Dairy Cattle Farming 1. Development of Automatic System for Diagnosis of Pregnancy and Diseases)

  • 김용준;유일정;정길도;한병성;김동원;김명순
    • 한국임상수의학회지
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    • 제14권2호
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    • pp.301-307
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    • 1997
  • These studies were performed to provide some basic informations for developing an automatic system in dairy farming cattle in order that the farmers may easily and automatically detect the maintenance of pregnancy and the fact of abortion of the pregnant cows and also to find out the diseased animals with fever. As a method of automatical detection of the maintenance of pregnancy or the fact of abortion, weighing the pregnant cows was conducted from one month-pregnancy to the term using a digital balance. From the first to the 3rd month of pregnancy the body weight of dairy cows was slowly increased (less than 2% per month), then, relatively high increase (3.4% -4.3% per month) from the fourth to the seventh month followed by decrease (3.3%) in the 8th month and very low increase (0.8-0.9%) from the 9th month to the term were shown, resulting in increase of 128.8 kg (25.05%) of body weight to be compared with the first weight. More than 107, increase of body weight to be compared with the first month-weight was denoted from the 61th month of pregnancy and more than 20% increase from the 7th or the 8th month of pregnancy as wells consequently it was presumed that detection of the maintenance of pregnancy is possible from the 4th or the 5th month of pregnancy. It was possible to diagnose a cow aborted at the 6th month by continual weighing the cow from the 1st month of pregnancy. The calved cows showed considerably higher decrease of body weight even in the third week after parturition (p<0.01)to be compared with the body weight near to the term (81.8-102.0 kg, 14-16% decrease). During the same period of 8months, the pregnant cows gained 127.4 kg (24.78% increase), whereas the non-pregnant cows gained 33.0 kg (0.71% increase) to be compared with the first weight showing considerably higher increase of body weight gain in the pregnant cows than the non-pregnant cows (p<0.01). The statistics of body temperatures of dairy cattle were collected from three clinics including the Teaching Hospital of Chonbuk University and the diseases were classified simply by the major symptoms manifested, denoting the highest temperature in respiratory disease ($39.8{\circ}C$) and the lowest in alimentary disease ($39.6{\circ} C$). These informations of body temperatures were expected to be of value for early and automatical detection of the diseased animals with fever when automatic machinery would be established. The results of periodic weighing the body weight of pregnant cows while milking were also expected to be of great use for the farmers to detect the maintenance of pregnancy and the fact of abortion when the automatic system is established in the near future.

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