• Title/Summary/Keyword: identification rate

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An analysis of the stars recorded in the Seong-Gyeong 星鏡

  • Jeon, Junhyeok
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.2
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    • pp.47.4-48
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    • 2017
  • In the middle of $19^{th}$ century, the Seong Gyeong 星鏡, which is a Korean historical astronomy book, was published by Nam Byeong-Gil(1820-1869). In this study, identification was conducted by considering the star catalogue recorded in the Yixiang Kaocheng Xubian 儀象考成續編. The Seong Gyeong 星鏡 recorded the information of 1,449 stars, and identified 1,413 stars among 1,449 stars, which is a rate of 97.5%. The positional error (angular distance) of the identified stars is $5.33{\pm}0.34$ arc-min. It was also confirmed that the magnitudes of the recorded stars have correlations with those of modern times. It was determined that the position error of the stars became larger as the magnitude of the stars became dimmer, or as the position of the stars came closer to the pole. Based on these analyses, the Seong Gyeong 星鏡 was confirmed that it is a result of correcting the precession of the selected stars from star catalogue of Yixiang Kaocheng Xubian 儀象考成續編.

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Exacerbation of Chronic Gastritis by Mycoplasma Infection through Inducing Inflammation

  • Kang, Kyung-Ah;Kwon, Hyuk-Joon;Hyun, Jin-Won
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 2003.11a
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    • pp.95-95
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    • 2003
  • Mycoplasmas resemble H. pylori in production of ammonia and induction of inflammatory cytokines from immune and non-immne cells. In Republic of Korea infection rate of H. pylori is relatively high but only a proportion of them invite additional inflammation and progress into gastric cancers. Therefore, additional risk factors cannot be excluded. The presence and identification of mycoplasma were confirmed by semi -nested PCR and sequencing and the results were compared with pathological data. Fifty-six samples collected from Korean chronic gastritis patients were used for the study. Twenty-three (41.1%) were positive to mycoplasmas and all of them were identified as human mycoplasmas, M. faucium, M. fermentans, M. orale, M. salivarium and M. spermatophilum. Mycoplasma-infected chronic gastritis samples showed more severe, additional infiltration of neutrophils than non-infected samples and the difference was significant (P < 0.05). In conclusion human mycoplasma infection may playa role in progression of chronic gastritis to metaplasia by inducing additional inflammation.

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Adaptive Identification Method of EDM Parameters Using Neural Network (신경망을 이용한 방전 조건의 적응적 결정 방법)

  • 이건범;주상윤;왕지남
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.5
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    • pp.43-49
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    • 1998
  • Adaptive neural network approach is presented for determining Electrical Discharge Machining (EDM) parameters. Electrical Discharge Machining has been widely used with its capability of machining hard metals and tough shapes. In the past few years, EDM has been established in tool-room and large-scale production. However. in spite of it's wide application, an universal selection method of EDM parameters has not been established yet. No attempt has been tried before to suggest a logical method in determining essential machine parameters considering the machining rate and resulting surface roughness integrity. The paper presents a method, which is focusing on determining appropriate machining parameters. Depending on the electrode wear and surface roughness, an adaptive neural network is designed for providing suitable machining guideline.

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Measurement of Flow Field in a Domestic Boiler Circulation Pump by PIV (PIV에 의한 가정용보일러용 순환펌프의 내부 유동장 계측)

  • Im, Y.C.;Kim, J.H.;Choi, M.S.;Lee, Y.H.
    • Journal of Power System Engineering
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    • v.3 no.2
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    • pp.13-19
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    • 1999
  • The purpose of the present experimental study is to apply multi-point simultaneous measurement by PIV(Particle Image Velocimetry) to high-speed flow region within a domestic boiler circulation pump. Two different kinds of flow rate($27{\ell}/min,\;19{\ell}/min$)are selected as experimental condition. A volute casing and Impeller made of transparent Polycarbonate were made for the easy access of the illumination laser via fiber optical line and cylinder lens assembly to the measuring region. A CCD camera is syncronized with AOM to acquire clear original particle images. Optimized cross correlation identification to obtain velocity vectors is implemented by direct calculation of correlation coefficients. The instantaneous and time-mean velocity distribution, velocity profile and kinetic energy are represented quantitatively at the full-scale region for the deeper understanding of the unsteady flow characteristics in a commercial circulation pump.

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Performance Improvement of Speaker Recognition System Using Genetic Algorithm (유전자 알고리즘을 이용한 화자인식 시스템 성능 향상)

  • 문인섭;김종교
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.8
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    • pp.63-67
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    • 2000
  • This paper deals with text-prompt speaker recognition based on dynamic time warping (DTW). The Genetic Algorithm was applied to the creation of reference patterns for suitable reflection of the speaker characteristics, one of the most important determinants in the fields of speaker recognition. In order to overcome the weakness of text-dependent and text-independent speaker recognition, the text-prompt type was suggested. Performed speaker identification and verification in close and open set respectively, hence the Genetic algorithm-based reference patterns had been proven to have better performance in both recognition rate and speed than that of conventional reference patterns.

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Tool management system for factory automation (공장 자동화를 위한 공구관리 시스템)

  • 김동훈;김선호;이춘식
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.348-352
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    • 1992
  • At present, the manufacturing industry is in a process of great change of circumstances like meeting demands to involve a great variety of types and shorter product life and thus more flexible manufacturing. These changes cause the larger number of different tools and frequent tool changes, which lead to the considerable losses in productive time and the high amount of capital tied up in the tool area. In our country, for the most part, the individual tool are still being presetted according to a data sheet and the measured values are entered, output in a list manually or via punched tapes. This usually takes a considerable amount time and lead to a high error rate. This paper describes a computer controlled tool data management system combined with the bar code tool identification labeled on cutting tools.

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Model-based iterative learning control with quadratic criterion for linear batch processes (선형 회분식 공정을 위한 이차 성능 지수에 의한 모델 기반 반복 학습 제어)

  • Lee, Kwang-Soon;Kim, Won-Cheol;Lee, Jay-H
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.3
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    • pp.148-157
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    • 1996
  • Availability of input trajectories corresponding to desired output trajectories is often important in designing control systems for batch and other transient processes. In this paper, we propose a predictive control-type model-based iterative learning algorithm which is applicable to finding the nominal input trajectories of a linear time-invariant batch process. Unlike the other existing learning control algorithms, the proposed algorithm can be applied to nonsquare systems and has an ability to adjust noise sensitivity as well as convergence rate. A simple model identification technique with which performance of the proposed learning algorithm can be significantly enhanced is also proposed. Performance of the proposed learning algorithm is demonstrated through numerical simulations.

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Identification of a Regulatory Element Required for 3’-End Formation in Transcripts of rhp51$^+$, a recA Homolog of the Fission Yeast Schizosaccharomyces pombe

  • Yeun Kyu Jang
    • Animal cells and systems
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    • v.3 no.4
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    • pp.413-415
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    • 1999
  • Our previous report demonstrated that the rhp51$^+$, a recA and RAD51 homolog of the fission yeast, encodes three transcripts of 1.9, 1.6 and 1.3 kb which have at least six polyadenylation sites. The 3'-end of the gene alone can direct the formation of multiple, discrete 3'ends of the transcripts. To identify the regulatory element required for the 3'-end formation of -rhp51$^+$ deletion mapping analysis was performed. Northern blot analysis revealed that the 254-bp DNA fragment including 4 distinct poly (A) sites downstream from the Hindlll site, is crucial for normal 3'-end formation. Deletion of the 3'-terminal AU rich region caused appearance of read-through RNA, leading to enhancement of survival rate of the rhp51 deletion mutant in response to DNA damaging agent, methylmethane sulfonate (MMS). The results imply that the rhp51$^+$ system may be useful for molecular analysis of the 3'-end formation of RNA in the fission yeast.

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Identification and Determination of Oil Pollutants Based on 3-D Fluorescence Spectrum Combined with Self-weighted Alternating Trilinear Decomposition Algorithm

  • Cheng, Pengfei;Wang, Yutian;Chen, Zhikun;Yang, Zhe
    • Journal of the Optical Society of Korea
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    • v.20 no.1
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    • pp.204-211
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    • 2016
  • Oil pollution seriously endangers the biological environment and human health. Due to the diversity of oils and the complexity of oil composition, it is of great significance to identify the oil contaminants. The 3-D fluorescence spectrum combined with a second order correction algorithm was adopted to measure an oil mixture with overlapped fluorescence spectra. The self-weighted alternating trilinear decomposition (SWATLD) is a kind of second order correction, which has developed rapidly in recent years. Micellar solutions of #0 diesel, #93 gasoline and ordinary kerosene in different concentrations were made up. The 3-D fluorescence spectra of the mixed oil solutions were measured by a FLS920 fluorescence spectrometer. The SWATLD algorithm was applied to decompose the spectrum data. The predict concentration and recovery rate obtained by the experiment show that the SWATLD algorithm has advantages of insensitivity to component number and high resolution for mixed oils.

Isolation and Identification of Lactic Acid Bacteria Isolated from a Traditional Jeotgal Product in Korea

  • Cho, Gyu-Sung;Do, Hyung-Ki
    • Ocean Science Journal
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    • v.41 no.2
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    • pp.113-119
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    • 2006
  • Seventeen lactic acid bacterial strains (LAB) were isolated using MRS agar medium from Jeotgal, a Korean fermented food, purchased at the Jukdo market of Pohang. To identify the strains isolated, they were tested by examining their cell morphologies, gram-staining, catalase activity, arginine hydrolase activity, D-L lactate form and carbohydrate fermentation. According to the phenotypic characteristics, three strains were tentatively identified as Lactobacillus spp., ten were Enterococcus spp. (or Streptococcus spp., or Pediococcus spp.) and the rest were Leuconostoc spp. (or Weissella spp.). Five strains among 17 were chosen by preliminary bacteriocin activity test. Four bacterial strains which inhibited both indicator microorganisms were identified by 16S rRNA sequencing. The results are as follows; Leuconostoc mesenteroides (HK 4), Leuconostoc mesenteroides (HK 5), Leuconostoc mesenteroides(HK 11), Streptococcus salivarius(HK 8). In order to check LAB which are showing a high survival rate in gut, we investigated three strains inhibiting both indicator microorganisms in artificial gastric acid and bile juice -all except HK8. The three strains mentioned above grew in extreme low acid conditions.