• 제목/요약/키워드: inaccurate information

검색결과 394건 처리시간 0.027초

정보전문가의 과오행위에 관한 연구 (A Study on the Malpractice of Information Professionals)

  • 홍명자
    • 한국도서관정보학회지
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    • 제33권4호
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    • pp.179-207
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    • 2002
  • 본 논문은 각종 도서관 및 정보센터에서 사서로 활동하거나, 독자적으로 혹은 기관에 소속되어 정보중개인으로 활동하는 정보전문가가 직무범위 내에서 정보봉사를 할 때, 주의의무를 태만히 하여 오류정보 와 불충분한 정보 등을 제공함으로써 이용자에게 손해를 입히는 과오행위에 관한 연구이다. 과오행위가 성립되기 위한 필수적 요소와 이를 회피하기 위한 대처방법에 대해 구체적으로 다루었다.

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도서관 이용자와 사서간의 대면적 커뮤니케이션의 고찰 (A study on the face to face communication between library users and librarians)

  • 유길호
    • 한국도서관정보학회지
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    • 제24권
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    • pp.81-106
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    • 1996
  • Without an accurate understanding of information needs of library users, an efficient services can't be implement. And we can expect that there is a difference between query statement and actual information needs of users. It also will occur difference in the process of librarian's interpretation of query statement because of an inaccurate presentation and their different working experiences. It means that there is a communication problems between users and librarians. The purpose of this study is to provide the techniques of face to face communication between users and librarians as a method of efficient library service activities. And focused on the importance of non-language communication. The effectiveness of this study are as follows: 1. With the understanding of information flow, librarians can expand the extent of library services. 2. Knowing that how to communicate with users at the a n.0, ppropriate degree, librarians can improve the communication techniques. 3. Expanding the satisfaction of information services and heitening the reliability of users. 4. From the analysis of user information needs, librarians can convert present system to the proper service-oriented system. 5. Knowing the importance of non-language communication, librarians can improve the service environment.

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신경망을 위한 해석적 결정경계 특징추출 알고리즘 (Analytical Decision Boundary Feature Extraction for Neural Networks)

  • 고진욱;이철희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.177-180
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    • 2000
  • Recently, a feature extraction method based on decision boundary has been proposed for neural networks. The method is based on the fact that all the features necessary to achieve the same classification accuracy as in the original space can be obtained from the vectors normal to decision boundaries. However, the normal vector was estimated numerically. resulting in inaccurate estimation and a long computational time. In this paper. we propose a new method to calculate the normal vector analytically. Experiments show that the proposed method provides a better performance.

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Feature Extraction for Vision Based Micromanipulation

  • Jang, Min-Soo;Lee, Seok-Joo;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.41.5-41
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    • 2002
  • This paper presents a feature extraction algorithm for vision-based micromanipulation. In order to guarantee of the accurate micromanipulation, most of micromanipulation systems use vision sensor. Vision data from an optical microscope or high magnification lens have vast information, however, characteristics of micro image such as emphasized contour, texture, and noise are make it difficult to apply macro image processing algorithms to micro image. Grasping points extraction is very important task in micromanipulation because inaccurate grasping points can cause breakdown of micro gripper or miss of micro objects. To solve those problems and extract grasping points for micromanipulation...

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퍼지 추론부의 성능 향상에 관한 연구 (A Study on the Performance of Fuzzy Inference Engine)

  • 우찬일;신인철;유종상
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 1997년도 추계학술대회 발표논문집:21세기를 향한 정보통신 기술의 전망
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    • pp.105-116
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    • 1997
  • The fuzzy logic controller was used effectively for the controlling of unmeasured parameter and inaccurate mathematical modeling was designed. In this paper, we proposed that the method of reducing the vibration at the target point on calculating the membership degree about input value without a look-up table was proposed. And its effectiveness in the inverted pendulum was acquired.

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구형 마이크로 스트립 공진기의 해석 (An Analysis of Rectangular Microstrip Resonator)

  • Hong, Ui-Seok
    • 대한전자공학회논문지
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    • 제24권5호
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    • pp.740-746
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    • 1987
  • In calculating resonant frequencies of a microstrip resonator the effect of the stray field at resonator edges has been neglected in most publications. The formula for resonant frequencies therefore provided inaccurate results. In the paper the effective dimension and the dynamic dielectic constant of a resonator are defined and obtained for more accurate resonant frequencies and qualty factor by including the effect of stray fields. Theoretical results obtained from the new formula show good agreement with experimental results. In addition, the effect on resonant modes of the distance and coupling angle between the microstrip line and the resonator is also observed.

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전역적 메모리에서의 블록 룩업과 재배치에 관한 연구 (A Study on the Block Lookup and Replacement in Global Memory)

  • 이영섭;김은경;정병수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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    • pp.51-54
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    • 2000
  • Due to the emerging of high-speed network, lots of interests of access to remote data have increased. Those interests motivate using of Cooperative Caching that uses remote cache like local cache by sharing other clients' cache. The conventional algorithm like GMS(Global Memory Service) has some disadvantages that occurred bottleneck and decreasing performance because of exchanges of many messages to server or manager. On the other hand, Hint-based algorithm resolves a GMS's server bottleneck as each client has hint information of all blocks. But Hint-based algorithm also causes some problems such as inaccurate information in it, if it has too old hint information. In this paper, we offer the policy that supplement bottleneck and inaccuracy; by using file identifier that can search for the lookup table and by exchanging oldest block information between each client periodically.

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Marine Object Detection Based on Kalman Filtering

  • Hwang, Jae-Jeong;Pak, Sang-Hyon;Park, Gil-Yang
    • Journal of information and communication convergence engineering
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    • 제9권3호
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    • pp.347-352
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    • 2011
  • In this paper, although Radar has been used for a long time, integrated scheme with visual camera is an efficient way to enhance marine surveillance system. Camera image is focused by radar information but it is easy to be fallen into inaccurate operation due to environmental noises. We have proposed a method to filter the noises by moving average filter and Kalman filter. It is proved that Kalman filtered results preserves linearity while the former includes larger variance.

누적된 거리정보를 이용하는 저가 IR 센서 기반의 위치추정 (Low-Cost IR Sensor-based Localization Using Accumulated Range Information)

  • 최윤규;송재복
    • 제어로봇시스템학회논문지
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    • 제15권8호
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    • pp.845-850
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    • 2009
  • Localization which estimates a robot's position and orientation in a given environment is very important for mobile robot navigation. Although low-cost sensors are preferred for practical service robots, they suffer from the inaccurate and insufficient range information. This paper proposes a novel approach to increasing the success rate of low-cost sensor-based localization. In this paper, both the previous and the current data obtained from the IR sensors are used for localization in order to utilize as much environment information as possible without increasing the number of sensors. The sensor model used in the monte carlo localization (MCL) is modified so that the accumulated range information may be used to increase the accuracy in estimating the current robot pose. The experimental results show that the proposed method can robustly estimate the robot's pose in indoor environments with several similar places.

적응적 미세 변이추정기법을 이용한 스테레오 혼합 현실 시스템 구현 (Mixed reality system using adaptive dense disparity estimation)

  • 민동보;김한성;양기선;손광훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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    • pp.171-174
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    • 2003
  • In this paper, we propose the method of stereo images composition using adaptive dense disparity estimation. For the correct composition of stereo image and 3D virtual object, we need correct marker position and depth information. The existing algorithms use position information of markers in stereo images for calculating depth of calibration object. But this depth information may be wrong in case of inaccurate marker tracking. Moreover in occlusion region, we can't know depth of 3D object, so we can't composite stereo images and 3D virtual object. In these reasons, the proposed algorithm uses adaptive dense disparity estimation for calculation of depth. The adaptive dense disparity estimation is the algorithm that use pixel-based disparity estimation and the search range is limited around calibration object.

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