• Title/Summary/Keyword: Processing step

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Analysis of Hazardous Microbes on the Processing of Surimi-Based Imitation Crab (Surimi-Based Imitation Crab의 가공공정에 대한 위해미생물 분석)

  • 김창남;천석조;노우섭;오두환
    • Journal of Food Hygiene and Safety
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    • v.12 no.4
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    • pp.346-353
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    • 1997
  • This study was undertaken to find out distribution and contamination sources of hazardous microbes through microbial hazard analysis on the processing steps of surimi-based imitation crab (SBIC). As a results of ananlysis of 9 hazardous microbes for 16 raw materials and 8 processing steps, no Samonella spp. and Escherichia coli were detected in all samples. Level and distribution of hazardous microbes in mixed color were similar to those of surimi. Changes of aerobic plate counts (APC), psychrotropic bacteria, coliforms, Staphylococcus aureus and Vibrio parahaemolyticus showed similar trends at different processing steps. Thermotrophic bacteria and aerobic sporeformers were not detected until mixing step and feeding step, respectively and not reduced after cooking step. According to the comparison of APC at each step, it was suggested that surimi, workers and silent cutter at mixing step, and mixed color, workers and bundler at packaging step were the major contamination sources of bacteria.

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3D Shape Reconstruction of Cross-sectional Images using Image Processing Technology and B-spline Approximation (영상 처리 기법과 B-spline 근사화를 이용한 단면영상의 3차원 재구성)

  • 임오강;이진식;김종구
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.10a
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    • pp.93-100
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    • 2001
  • The three dimensional(3D) reconstruction from two dimensional(2D) image data is using in many fields such as RPD(Rapid Product Development) and reverse engineering. In this paper, the main step of 3D reconstruction is comprised of two steps : image processing step and B-spline surface approximation step. In the image processing step, feature points of each cross-section are obtained by means of several image processing technologies. In the B-spline surface approximation step, using the data of feature points obtained in the image processing step, the control points of B-spline surface are obtained, which are used for IGES file of 3D CAD model.

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A Bibliographical Study on the Processing Methods of Samhaeju (삼해주 양조에 관한 문헌적 고찰)

  • 이성우;배상면
    • Journal of the East Asian Society of Dietary Life
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    • v.1 no.2
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    • pp.115-127
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    • 1991
  • Information on brew time for Samhaeju can get from the 26 kinds of classical literature, which deal with Samhaeju. Usually, Samhaeju is brewed on any day of the Boar in January of the lunar calendar. However, any day of the Boar in a year seams to be possible for the brew time. In the first step of the manufacture procedure, nonglutinous and glutinous rice are used with the same propontion. The nonglutious and glutinous rice ratio become higher on the 2nd and the 3rd step than in the 1st step. The amount of water adding to the Samhaeju-base is increased step by step. In the first step, processing type of the cereal is predominantly gruel type, which is followed by rice calce. In the 2nd step, rice cake and doughnut-type rice cake are more common type than gruel type. In the 3rd step, processing type of the cereal in Samhaeju is mostly steamed water-soaked rice. Companing China and Japan with Korea, there is difference in the processing types of the cereal. They use steamed water-soaked rice in any step. Nuruk(fermenter) is added to the cold processed cereal in the first step.

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Variable Step LMS Algorithm using Fibonacci Sequence (피보나치 수열을 활용한 가변스텝 LMS 알고리즘)

  • Woo, Hong-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.2
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    • pp.42-46
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    • 2018
  • Adaptive signal processing is quite important in various signal and communication environments. In adaptive signal processing methods since the least mean square(LMS) algorithm is simple and robust, it is used everywhere. As the step is varied in the variable step(VS) LMS algorithm, the fast convergence speed and the small excess mean square error can be obtained. Various variable step LMS algorithms are researched for better performances. But in some of variable step LMS algorithms the computational complexity is quite large for better performances. The fixed step LMS algorithm with a low computational complexity merit and the variable step LMS algorithm with a fast convergence merit are combined in the proposed sporadic step algorithm. As the step is sporadically updated, the performances of the variable step LMS algorithm can be maintained in the low update rate using Fibonacci sequence. The performances of the proposed variable step LMS algorithm are proved in the adaptive equalizer.

Time Domain Acoustic Holography by Step-by-step Measurement (단계적 측정법에 의한 시간 영역 음향 홀로그래피)

  • 윤호성;남경욱;김양한
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.635-639
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    • 2003
  • When we carry out acoustic holography, step-by-step measurement provides us larger aperture size with same number of microphones. But when we carry out step-by-step measurement, it is blown that sound signal must be stationary. However, when transfer function between input and output signal is time-invariant, we can apply step-by-step measurement to acoustic holography even if sound signal is transient We have to do only some Processing on signals from step-by-step measurements to make the signal data of each step compatiable with other steps. This paper accounts for that processing method.

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Two-Step Oxidation of Refractory Gold Concentrates with Different Microbial Communities

  • Wang, Guo-hua;Xie, Jian-ping;Li, Shou-peng;Guo, Yu-jie;Pan, Ying;Wu, Haiyan;Liu, Xin-xing
    • Journal of Microbiology and Biotechnology
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    • v.26 no.11
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    • pp.1871-1880
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    • 2016
  • Bio-oxidation is an effective technology for treatment of refractory gold concentrates. However, the unsatisfactory oxidation rate and long residence time, which cause a lower cyanide leaching rate and gold recovery, are key factors that restrict the application of traditional bio-oxidation technology. In this study, the oxidation rate of refractory gold concentrates and the adaption of microorganisms were analyzed to evaluate a newly developed two-step pretreatment process, which includes a high temperature chemical oxidation step and a subsequent bio-oxidation step. The oxidation rate and recovery rate of gold were improved significantly after the two-step process. The results showed that the highest oxidation rate of sulfide sulfur could reach to 99.01 % with an extreme thermophile microbial community when the pulp density was 5%. Accordingly, the recovery rate of gold was elevated to 92.51%. Meanwhile, the results revealed that moderate thermophiles performed better than acidophilic mesophiles and extreme thermophiles, whose oxidation rates declined drastically when the pulp density was increased to 10% and 15%. The oxidation rates of sulfide sulfur with moderate thermophiles were 93.94% and 65.73% when the pulp density was increased to 10% and 15%, respectively. All these results indicated that the two-step pretreatment increased the oxidation rate of refractory gold concentrates and is a potential technology to pretreat the refractory sample. Meanwhile, owing to the sensitivity of the microbial community under different pulp density levels, the optimization of microbial community in bio-oxidation is necessary in industry.

A Study on Life Estimate of Insulation Cable for Image Processing of Electrical Tree (전기트리의 영상처리를 이용한 절연케이블의 수명예측에 관한 연구)

  • 정기봉;김형균;김창석;최창주;오무송;김태성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.07a
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    • pp.319-322
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    • 2001
  • The proposed system was composed of pre-processor which was executing binary/high-pass filtering and post-processor which ranged from statistic data to prediction. In post-processor work, step one was filter process of image, step two was image recognition, and step three was destruction degree/time prediction. After these processing, we could predict image of the last destruction timestamp. This research was produced variation value according to growth of tree pattern. This result showed improved correction, when this research was applied image Processing. Pre-processing step of original image had good result binary work after high pass- filter execution. In the case of using partial discharge of the image, our research could predict the last destruction timestamp. By means of experimental data, this Prediction system was acquired ${\pm}$3.2% error range.

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Blind Equalization Algorithm Using A Variable Step-Size (가변 Step-Size를 갖는 블라인드 등화 알고리즘)

  • Choi, Ik-Hyun;Kim, Chul-Min;Oh, Kil-Nam;Choi, Soo-Chul
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2005.11a
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    • pp.317-320
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    • 2005
  • 기존의 블라인드 등화(blind equalization) 알고리즘의 step-size는 임의의 값을 알고리즘에 적용하여 수렴속도와 정상 상태의 특성을 고려하여 최적한 step-size를 결정하였다. step-size를 크게 하면 수렴속도는 빠른 반면에 정상 상태에서 에러가 크고, step-size를 작게 하면 수렴속도는 느린 반면에 정상 상태에서 에러가 작아진다. 그렇기 때문에 수렴속도와 정상 상태를 고려해서 step-size를 결정해야 되고, 특별하게 정해지는 기준이 없기 때문에 연구자의 판단에 의해서 다르게 선택된다. 본 논문에서는 등화기 출력의 잔류 심벌간 간섭에 따라 step-size를 가변함으로서 수렴속도 및 정상 상태 성능을 개선한 가변 step-size를 갖는 블라인드 등화 알고리즘을 제안한다.

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IMAGE PROCESSING TECHNIQUES FOR LANE-RELATED INFORMATION EXTRACTION AND MULTI-VEHICLE DETECTION IN INTELLIGENT HIGHWAY VEHICLES

  • Wu, Y.J.;Lian, F.L.;Huang, C.P.;Chang, T.H.
    • International Journal of Automotive Technology
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    • v.8 no.4
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    • pp.513-520
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    • 2007
  • In this paper, we propose an approach to identify the driving environment for intelligent highway vehicles by means of image processing and computer vision techniques. The proposed approach mainly consists of two consecutive computational steps. The first step is the lane marking detection, which is used to identify the location of the host vehicle and road geometry. In this step, related standard image processing techniques are adapted for lane-related information. In the second step, by using the output from the first step, a four-stage algorithm for vehicle detection is proposed to provide information on the relative position and speed between the host vehicle and each preceding vehicle. The proposed approach has been validated in several real-world scenarios. Herein, experimental results indicate low false alarm and low false dismissal and have demonstrated the robustness of the proposed detection approach.

A Study on Image Processing of Tree Discharges for Insulation Destructive Prediction (절연파괴 예측을 위한 트리방전의 영상처리에 관한 연구)

  • 오무송;김태성
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.14 no.1
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    • pp.26-33
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    • 2001
  • The proposed system was composed of pre-processor which was executing binary/high-pass filtering and post-processor which ranged from statistic data to prediction. In post-processor work, step one was filter process of image, step two was image recognition, and step three was destruction degree/time prediction. After these processing, we could predict image of the last destruction timestamp. This research was produced variation value according to growth of tree pattern. This result showed improved correction, when this research was applied image Processing. Pre-processing step of original image had good result binary work after high pas- filter execution. In the case of using partial discharge of the image, our research could predict the last destruction timestamp. By means of experimental data, this prediction system was acquired $\pm$3.2% error range.

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