• Title/Summary/Keyword: Dual buck

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The Development of EPSM(Exciter Power Supply Module) Localization in Generator Exciter(EX2100) System (발전기 여자기시스템 주제어전원공급장치 국산화 개발)

  • Lee, Ki-Seon;Park, Jung-Cheul;Chu, Soon-Nam
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.65 no.2
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    • pp.101-107
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    • 2016
  • The main target in this paper is the localization of VME Type EPSM in Generator Exciter(EX2100) System. Developed EPSM has the compatibility with the existing product in the structure and shape and electrical feature and so on, but it has a much improved capacity and reliability in comparison with origin company product. this paper, to improve these functions, put emphasis on protection, monitoring, power capacity increase(over 120%), an enlarged scale of input voltage supply, AC/DC dual voltage use and so on. After manufacturing product localization, it was carried out several tests for the performance and reliability verification of developed product. These tests were performed in Authorized Inspection Agency(KTL) and field application test and maker self-test were additionally performed. Finally, the results of all tests were "success".

HearCAM Embedded Platform Design (히어 캠 임베디드 플랫폼 설계)

  • Hong, Seon Hack;Cho, Kyung Soon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.79-87
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    • 2014
  • In this paper, we implemented the HearCAM platform with Raspberry PI B+ model which is an open source platform. Raspberry PI B+ model consists of dual step-down (buck) power supply with polarity protection circuit and hot-swap protection, Broadcom SoC BCM2835 running at 700MHz, 512MB RAM solered on top of the Broadcom chip, and PI camera serial connector. In this paper, we used the Google speech recognition engine for recognizing the voice characteristics, and implemented the pattern matching with OpenCV software, and extended the functionality of speech ability with SVOX TTS(Text-to-speech) as the matching result talking to the microphone of users. And therefore we implemented the functions of the HearCAM for identifying the voice and pattern characteristics of target image scanning with PI camera with gathering the temperature sensor data under IoT environment. we implemented the speech recognition, pattern matching, and temperature sensor data logging with Wi-Fi wireless communication. And then we directly designed and made the shape of HearCAM with 3D printing technology.