• Title/Summary/Keyword: Error threshold

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Inspection of Coin Surface Defects using Multiple Eigen Spaces (다수의 고유 공간을 이용한 주화 표면 품질 진단)

  • Kim, Jae-Min;Ryoo, Ho-Jin
    • The Journal of the Korea Contents Association
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    • v.11 no.3
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    • pp.18-25
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    • 2011
  • In a manufacturing process of metal coins, surface defects of coins are manually detected. This paper describes an new method for detecting surface defects of metal coins on a moving conveyor belt using image processing. This method consists of multiple procedures: segmentation of a coin from the background, alignment of the coin to the model, projection of the aligned coin to the best eigen image space, and detection of defects by comparison of the projection error with an adaptive threshold. In these procedures, the alignement and the projection are newly developed in this paper for the detection of coin surface defects. For alignment, we use the histogram of the segmented coin, which converts two-dimensional image alignment to one-dimensional alignment. The projection reduces the intensity variation of the coin image caused by illumination and coin rotation change. For projection, we build multiple eigen image spaces and choose the best eigen space using estimated coin direction. Since each eigen space consists of a small number of eigen image vectors, we can implement the projection in real- time.

Simple Camera-based Evaluation System for Lower Limb Alignment during Pedalling (자전거 페달링 시 하지 정렬 평가를 위한 영상 시스템 개발)

  • Oh, Ho-Sang;Choi, Jin-Seung;Kang, Dong-Won;Seo, Jeong-Woo;Bae, Jae-Hyuk;Tack, Gye-Rae
    • Korean Journal of Applied Biomechanics
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    • v.22 no.1
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    • pp.123-129
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    • 2012
  • Simple camera-based system for evaluation of lower limb alignment as a part of an automated cycling fitting system was developed and verified in this study. Developed imaging system can evaluate lower limb alignment quantitatively during pedaling using a general camcorder and single marker attached on the knee. Threshold-based marker detection algorithm was proposed in this study. Experiment was carried out to compare the trajectory data from marker detection algorithm of the developed imaging system with the trajectory data from 3-D motion capture system. Results showed that average error between trajectories was 2.33 mm (0.92 %) in the vertical direction and 0.62 mm (1.86 %) in the medio-lateral direction. There existed significant correlation between two measured values (r=0.9996 in the vertical direction and r=0.9975 in the medio-lateral direction). It can be concluded that developed imaging system be applied to evaluate lower limb alignment which is an important factor for dynamic bicycle fitting.

Fractal Image Coding for Improve the Quality of Medical Images (의료영상의 화질개선을 위한 프랙탈 영상 부호화)

  • Park, Jaehong;Park, Cheolwoo;Yang, Wonseok
    • Journal of the Korean Society of Radiology
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    • v.8 no.1
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    • pp.19-26
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    • 2014
  • This paper suggests techniques to enhance coding time which is a problem in traditional fractal compression and to improve fidelity of reconstructed images by determining fractal coefficient through adaptive selection of block approximation formula. First, to reduce coding time, we construct a linear list of domain blocks of which characteristics is given by their luminance and variance and then we control block searching time according to the first permissible threshold value. Next, when employing three-level block partition, if a range block of minimum partition level cannot find a domain block which has a satisfying approximation error, we choose new approximation coefficients using a non-linear approximation of luminance term. This boosts the fidelity. Our experiment employing the above methods shows enhancement in the coding time more than two times over traditional coding methods and shows improvement in PSNR value by about 1-3dB at the same compression rate.

An ABR Service Traffic Control of Using feedback Control Information and Algorithm (피드백 제어 정보 및 알고리즘을 이용한 ABR 서비스 트래픽제어)

  • 이광옥;최길환;오창윤;배상현
    • Journal of Internet Computing and Services
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    • v.3 no.3
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    • pp.67-74
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    • 2002
  • Asynchronous transfer mode (ATM) can be efficiently used to transport packet data services. The switching system will support voice and packet data services simultaneously from end to end applications. To guarantee quality of service (QoS) of the offered services, source rate to send packet data is needed to control the network overload condition. Most existing control algorithms are shown to provide the threshold-based feedback control technique. However, real-time voice calls can be dynamically connected and released during data services in the network. If the feedback control information delays, quality of the serviced voice can be degraded due to a time delay between source and destination in the high speed link, An adaptive algorithm based on the optimal least mean square error technique is presented for the predictive feedback control technique. The algorithm attempts to predict a future buffer size from weight (slope) adaptation of unknown functions, which are used for feedback control. Simulation results are presented, which show the effectiveness of the algorithm.

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A Novel Water Surface Detection Method Based on Correlation Analysis for Rectangular Control Area (직사각형 검사영역의 상관도 분석을 통한 수면위치 탐색 방법)

  • Lee, Chan Joo;Seo, Myoung Bae;Kim, Dong Gu;Kwon, Sung Il
    • Journal of Korea Water Resources Association
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    • v.45 no.12
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    • pp.1227-1241
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    • 2012
  • In this study, a novel water surface detection method was proposed. In the method water surface is detected by analysis on correlation coefficients obtained from rectangular control areas of the same vertical position in two successive images including both water surface and staff gauge. Four methods respectively based on threshold, peak, slope and variance ratio, are used to identify water surface from vertical distribution of correlation coefficient. In addition, swaying correction algorithm and statistical filtering are applied to minimize outliers caused by positional image mismatch. Images taken from 28 different sites during low flow were tested to evaluate the method. Mean relative error to eye measurement was approximately from 3.4 to 5.7 cm. As long as water surface moves, this method can be used to improve image stage gauge by supplementing the previous water surface detection method.

The YIQ Model of Computed Tomography Color Image Variable Block with Fractal Image Coding (전산화단층촬영 칼라영상의 YIQ모델을 가변블록 이용한 프랙탈 영상 부호화)

  • Park, Jae-Hong;Park, Cheol-Woo
    • Journal of the Korean Society of Radiology
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    • v.10 no.4
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    • pp.263-270
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    • 2016
  • This paper suggests techniques to enhance coding time which is a problem in traditional fractal compression and to improve fidelity of reconstructed images by determining fractal coefficient through adaptive selection of block approximation formula. First, to reduce coding time, we construct a linear list of domain blocks of which characteristics is given by their luminance and variance and then we control block searching time according to the first permissible threshold value. Next, when employing three-level block partition, if a range block of minimum partition level cannot find a domain block which has a satisfying approximation error, There applied to 24-bpp color image compression and image techniques. The result did not occur a loss in the image quality of the image when using the encoding method, such as almost to the color in the YIQ image compression rate and image quality, such as RGB images and showed good.

Design of a Correlator and an Access-code Generator for Bluetooth Baseband (블루투스 기저대역을 위한 상관기와 액세스 코드 생성 모듈의 설계)

  • Hwang Sun-Won;Lee Sang-Hoon;Shin Wee-Jae
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.4
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    • pp.206-211
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    • 2005
  • We describe the design for a correlator and an access code generator in bluetooth system. These are used for a connection setting, a packet decision and a clock synchronization between Bluetooth units. The correlator consists of two blocks; carry save adder based on Wallace tree and threshold-value decision block. It determines on an useful packet and clock-synchronization for input signal of 1.0Mbps through the sliding-window correlating. The access-code generator also consists of two blocks; BCH(Bose-Chadhuri-Hocquenghem) cyclic encoder and control block. It generates the access-codes according to four steps' generation process based on Bluetooth standard. In order to solve synchronization problem, we make use of any memory as a pseudo random sequence. The proposed correlator and access-code generator were coded with VHDL. An FPGA Implementation of these modules and the simulation results are proved by Xilinx chip. The critical delay and correlative margin based on synthesis show the 4.689ns and the allowable correlation-error up to 7-bit.

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Phoneme Recognition and Error in Postlingually Deafened Adults with Cochlear Implantation (언어습득 이후 난청 성인 인공와우이식자의 음소 지각과 오류)

  • Choi, A.H.;Heo, S.D.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.8 no.3
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    • pp.227-232
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    • 2014
  • The aim of this study was to investigate phoneme recognition in postlingually deafened adults with cochlear implantation. 21-cochlear implantee were participated. They was used cochlear implants more than 1 year. In order to measure consonant performance abilities, subjects were asked for 18 items of Korean consonants in a "aCa" condition with audition alone. The scores ranged from 11 to 86 ($60{\pm}17$)%. The consonant performance abilities correlated with implanted hearing threshold level, significantly (p<.046). This results suggest that consonant performance abilities of postlingual deafened adults cochlear implantee be important for implanted hearing. They had higher correct rates for fricatives and affricatives with distinctive frequency bands than for plosives, liquids & nasals with the same or adjacent frequency bands. All subjects had confusion patterns among the consonants of the same manner of articulation. The reason of consonant confusions was caused that they couldn't recognize different intensities and durations of consonants with the same or adjacent frequency bands.

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An Efficient Method to Update Character Moving Directions for Massively Multi-player Online FPS Games (대규모 온라인 FPS 게임을 위한 효율적인 캐릭터 방향 갱신 기법)

  • Lim, Jong-Min;Lee, Dong-Woo;Kim, Youngsik
    • Journal of Korea Game Society
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    • v.14 no.5
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    • pp.35-42
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    • 2014
  • In the market of First Person Shooter (FPS) games, Massively Multi-player Online FPS games (MMOFPS) like 'PlanetSide 2' have been popular recently. Dead reckoning has been widely used in order to mitigate the network traffic overload for the game server with hundreds or thousands of people. This paper proposes the efficient analytical method to calculate the tolerable threshold angle of moving direction, which is one of the most important factors for character status updating when dead reckoning is used in MMOFPS games. The experimental results with game testers shows that the proposed method minimizes the position error for character moving and provides natural direction updates of characters.

Outlier Detection in Time Series Monitoring Datasets using Rule Based and Correlation Analysis Method (규칙기반 및 상관분석 방법을 이용한 시계열 계측 데이터의 이상치 판정)

  • Jeon, Jesung;Koo, Jakap;Park, Changmok
    • Journal of the Korean GEO-environmental Society
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    • v.16 no.5
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    • pp.43-53
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    • 2015
  • In this study, detection methods of outlier in various monitoring data that fit into big data category were developed and outlier detections were conducted for both artificial data and real field monitoring data. Rule-based methods applied rate of change and probability of error for monitoring data are effective to detect a large-scale short faults and constant faults having no change within a certain period. There are however, problems with misjudgement that consider the normal data with a large scale variation as outlier caused by using independent single dataset. Rule-based methods for noise faults detection have a limit to application of real monitoring data due to the problem with a choice of proper window size of data and finding of threshold for outlier judgment. A correlation analysis among different two datasets were very effective to detect localized outlier and abnormal variation for short and long-term monitoring dataset if reasonable range of training data could be selected.