• Title/Summary/Keyword: Lee Seong-Ah

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The Development of the Low Power Consumption and Long Life Battery using a Galvanic Series (저전력형 반영구적인 갈바니 전원장치 개발)

  • Bae, Jeong-Hyo;Kim, Dae-Kyeong;Ha, Tae-Hyun;Lee, Hyun-Goo;Choi, Sang-Bong;Jeong, Seong-Hwan
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3201-3204
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    • 2000

  • In general, analog tester or strip chart recorder have been used to measure the corrosion potential of structures such as gas pipelines, oil pipelines, hot water pipelines, power cables etc. Recently, automatic digital data logger substitutes for these manual equipment because using these manual equipments are tedious and time consuming. However, digital data logger also has a shortcoming, that is, short measuring time because of the short lifetime of batteries. Therefore, we developed a long lifetime and low power loss battery taking advantage of galvanic series. In this paper, the results of development for power generator using two metals and DC/DC converter in order to obtain enough voltage for the operation of digital data logger. DC/DC converter operates with 0.5[V]. Its output voltage is 3.5[V] and output current is from 60[mAh] to 1,200[mAh].

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The Study on Strategy for Industrial Accident Prevention by the Industrial Accident Rate Forecasting in Korea (한국에서 산업재해율 예측에 의한 산업재해방지 전략에 관한 연구)

  • Kang, Young-Sig;Kim, Tae-Gu;Ahn, Kwang-Hyuk;Choi, Do-Lim;Jung, U-Na;Lee, Seong-Ho;Park, Min-Ah;Lee, Seol;Kim, Seong-Hyun
    • Proceedings of the Safety Management and Science Conference
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    • 2011.04a
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    • pp.177-183
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    • 2011

  • Korea has performed strategies for the third industrial accident prevention in order to minimize industrial accident. However, the occupational fatality rate and industrial accident rate appears to be stagnated for 11 years. Therefore, this paper forecasts the occupational fatality rate and industrial accident rate for 10 years. Also, this paper applies regression method (RA), exponential smoothing method (ESM), double exponential smoothing method (DESM), autoregressive integrated moving average (ARIMA) model and proposed analytical function method (PAFM) for trend of industrial accident. Finally, this paper suggests fundamental strategies for industrial accident prevention by forecasting of industrial accident rate in the long term.

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