• Title/Summary/Keyword: Eye pattern

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Blind Adaptation Algorithms Using Coarse Error Estimation and Fine Error Estimation (거친 오차 추정과 미세 오차 추정을 활용한 블라인드 적응 알고리즘)

  • Oh, Kil-Nam
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.8
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    • pp.3660-3665
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    • 2012
  • For blind equalization, it is necessary to open an eye pattern quickly in the early stage of equalization, after that it is important to lower an error level of equalizer output signal. This paper discusses coarse error estimation using signal points specifically determined and fine error estimation using original signal constellation, and proposes two suggestions for how to take advantage of the two error estimation methods. The two error estimates, respectively, are effective to quickly open an eye pattern in the state of eye pattern closed, or to lower the level of an error in the steady-state after the eye pattern opening. Two blind equalization algorithms are proposed and their performances are compared, which select one of the two error estimates depending on the state of convergence of the equalizer, or combine two errors weightedly according to the relative reliabilities of the two error estimates, and calculate the new error.

Eye Pattern Detection Using SVD and HMM Technique from CCD Camera Face Image (CCD 카메라 얼굴 영상에서의 SVD 및 HMM 기법에 의한 눈 패턴 검출)

  • Jin, Kyung-Chan;Miche, Pierre;Park, Il-Yong;Sohn, Byung-Gi;Cho, Jin-Ho
    • Journal of Sensor Science and Technology
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    • v.8 no.1
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    • pp.63-68
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    • 1999
  • We proposed a method of eye pattern detection in the 2-D image which was obtained by CCD video camera. To detect face region and eye pattern, we proposed pattern search network and batch SVD algorithm which had the statistical equivalence of PCA. We also used HMM to improve the accuracy of detection. As a result, we acknowledged that the proposed algorithm was superior to PCA pattern detection algorithm in computational cost and accuracy of defection. Furthermore, we evaluated that the proposed algorithm was possible in real-time face pattern detection with 2 frame images per second.

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The Eye-Opening Conditions for the Minimum Bandwidth Signaling (최소대역폭 전송에서의 개안 조건)

  • Baek, Je-In
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.9
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    • pp.1321-1326
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    • 1990
  • In this paper, the eye-opening conditions are investigated for the minimum bandwidth digital transmission systems where the sinc functions is used as a basic pulse so that only the Nyquist bandwidth is required for the channel. In order for these systems to be tolerant to the timing jitter in the receiver, the eye pattern should be open horizontally. It is proved that an eye opening condition which has been understood only as a sufficiency becomes a necessity as well. As its result, having a spectral null at teh Nyquist frequency is shown to have the same meaning as eye opening.

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Camera Calibration and Barrel Undistortion for Fisheye Lens (차량용 어안렌즈 카메라 캘리브레이션 및 왜곡 보정)

  • Heo, Joon-Young;Lee, Dong-Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.9
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    • pp.1270-1275
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    • 2013
  • A lot of research about camera calibration and lens distortion for wide-angle lens has been made. Especially, calibration for fish-eye lens which has 180 degree FOV(field of view) or above is more tricky, so existing research employed a huge calibration pattern or even 3D pattern. And it is important that calibration parameters (such as distortion coefficients) are suitably initialized to get accurate calibration results. It can be achieved by using manufacturer information or lease-square method for relatively narrow FOV(135, 150 degree) lens. In this paper, without any previous manufacturer information, camera calibration and barrel undistortion for fish-eye lens with over 180 degree FOV are achieved by only using one calibration pattern image. We applied QR decomposition for initialization and Regularization for optimization. With the result of experiment, we verified that our algorithm can achieve camera calibration and image undistortion successfully.

Viscoelastic Finite Element Analysis of Filling Process on the Moth-Eye Pattern (모스아이 패턴의 충전공정에 대한 점탄성 유한요소해석)

  • Kim, Kug Weon;Lee, Ki Yeon;Kim, Nam Woong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.4
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    • pp.1838-1843
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    • 2014
  • Nanoimprint lithography (NIL) fabrication process is regarded as the main alternative to existing expensive photo-lithography in areas such as micro- and nano-electronics including optical components and sensors, as well as the solar cell and display device industries. Functional patterns, including anti-reflective moth-eye pattern, photonic crystal pattern, fabricated by NIL can improve the overall efficiency of such devices. To successfully imprint a nano-sized pattern, the process conditions such as temperature, pressure, and time should be appropriately selected. In this paper, a cavity-filling process of the moth-eye pattern during the thermal-NIL within the temperature range, where the polymer resist shows the viscoelastic behaviors with consideration of stress relaxation effect of the polymer, were investigated with three-dimensional finite element analysis. The effects of initial thickness of polymer resist and imprinting pressure on cavity-filling process has been discussed. From the analysis results it was found that the cavity filling can be completed within 100 s, under the pressure of more than 4 MPa.

User Modeling Using User Preference and User Life Pattern Based on Personal Bio Data and SNS Data

  • Song, Hyejin;Lee, Kihoon;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.15 no.3
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    • pp.645-654
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    • 2019
  • The purpose of this study was to collect and analyze personal bio data and social network services (SNS) data, derive user preference and user life pattern, and propose intuitive and precise user modeling. This study not only tried to conduct eye tracking experiments using various smart devices to be the ground of the recommendation system considering the attribute of smart devices, but also derived classification preference by analyzing eye tracking data of collected bio data and SNS data. In addition, this study intended to combine and analyze preference of the common classification of the two types of data, derive final preference by each smart device, and based on user life pattern extracted from final preference and collected bio data (amount of activity, sleep), draw the similarity between users using Pearson correlation coefficient. Through derivation of preference considering the attribute of smart devices, it could be found that users would be influenced by smart devices. With user modeling using user behavior pattern, eye tracking, and user preference, this study tried to contribute to the research on the recommendation system that should precisely reflect user tendency.

Investigation of the visual search patterns of the cockpit displays for the ergonomic cockpit design (인간공학적 조종실 설계를 위한 계기 탐색 형태에 관한 연구)

  • Song Young-Woong;Lee Jong-Seon
    • Journal of the Korea Safety Management & Science
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    • v.8 no.2
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    • pp.71-80
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    • 2006
  • There are many display panels in the flight cockpit and pilots get various flight information from those displays. The ergonomic layout of the displays must be determined based upon frequency of use and sequence of use. This study investigated the visual search patterns of the six display groups(one head-up-display: HUD, two multi function displays: MFDs, one engine group: EG, one flight display group: FD and others) in a fighting aircraft. Four expert pilots conducted Imaginary flight in the physical mock-up and the eye movements were collected using eye tracking system. Data of dwell time, frequency of use, and eye movement path were collected. Pilots spent most of time on HUD(55.2%), and others (21.6%), FD(14.2%), right MFD(4.7%), EG(3.2%), and left MFD(1.1%) in descending order. Similarly HUD(42.8%) and others(30.0%) were the most frequently visited displays. These data can be used in the layout of cockpit displays and the determination of optimal visual search pattern.

TSV Fault Detection Technique using Eye Pattern Measurements Based on a Non-Contact Probing Method (Eye 패턴을 사용한 비접촉 형태의 TSV 고장 검출 기법)

  • Kim, Youngkyu;Han, Sang-Min;Ahn, Jin-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.4
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    • pp.592-597
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    • 2015
  • 3D-IC is a novel semiconductor packaging technique stacking dies to improve the performance as well as the overall size. TSV is ideal for 3D-IC because it is convenient for stacking and excellent in electrical characteristics. However, due to high-density and micro-size of TSVs, they should be tested with a non-invasive manner. Thus, we introduce a TSV test method on test prober without a direct contact in this paper. A capacitive coupling effect between a probe tip and TSV is used to discriminate small TSV faults like voids and pin-holes. Through EM simulation, we can verify the size of eye-patterns with various frequencies is good for TSV test tools and non-contact test will be promising.

Drowsiness Detection using Eye-blink Patterns (눈 깜박임 패턴을 이용한 졸음 검출)

  • Choi, Ki-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.2
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    • pp.94-102
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    • 2011
  • In this paper, a novel drowsiness detection algorithm using eye-blink pattern is proposed. The proposed drowsiness detection model using finite automata makes it easy to detect eye-blink, drowsiness and sleep by checking the number of input symbols standing for closed eye state only. Also it increases the accuracy by taking vertical projection histogram after locating the eye region using the feature of horizontal projection histogram, and minimizes the external effects such as eyebrows or black-framed glasses. Experimental results in eye-blinks detection using the JZU eye-blink database show that our approach achieves more than 93% precision and high performance.