• Title/Summary/Keyword: Chung-Seo

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Inhibiting the Growth of Escherichia coli O157:H7 in Beef, Pork, and Chicken Meat using a Bacteriophage

  • Seo, Jina;Seo, Dong Joo;Oh, Hyejin;Jeon, Su Been;Oh, Mi-Hwa;Choi, Changsun
    • Food Science of Animal Resources
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    • v.36 no.2
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    • pp.186-193
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    • 2016

  • This study aimed to inhibit Escherichia coli (E. coli) O157:H7 artificially contaminated in fresh meat using bacteriophage. Among 14 bacteriophages, the highly lytic bacteriophage BPECO19 strain was selected to inhibit E. coli O157:H7 in artificially contaminated meat samples. Bacteriophage BPECO19 significantly reduced E. coli O157:H7 bacterial load in vitro in a multiplicity of infection (MOI)-dependent manner. E. coli O157:H7 was completely inhibited only in 10 min in vitro by the treatment of 10,000 MOI BPECO19. The treatment of BPECO19 at 100,000 MOI completely reduced 5 Log CFU/cm2 E. coli O157:H7 bacterial load in beef and pork at 4 and 8h, respectively. In chicken meat, a 4.65 log reduction of E. coli O157:H7 was observed at 4 h by 100,000 MOI. The treatment of single bacteriophage BPECO19 was an effective method to control E. coli O157:H7 in meat samples.

  • https://doi.org/10.5851/kosfa.2016.36.2.186 인용 PDF KSCI KPUBS HTML

Development of Gesture Classification system using Artificial Neural Network (신경망을 이용한 동작 패턴 분류 시스템의 개발)

  • Ha, Sang-Hyung;Lim, Sung-Bin;Choi, Woo-Kyung;Seo, Jae-Yong;Jeon, Hong-Tae
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.793-794
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    • 2006

  • 본 논문에서는 인공 신경망을 이용한 동작 패턴 분류 시스템을 개발하였다. 이 시스템은 자이로 센서와 가속도 센서를 사용하며 3축의 자이로(각속도) 및 가속도를 측정할 수 있는 센서 모듈과 측정된 데이터를 이용해서 동작 패턴을 분류해 주는 신경망 알고리즘으로 구성된다.

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