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A Study on the Effect of Fine Dust on Household Power Consumption Using Climate Data - Focus on the Spring Season (April) and Fall Season (October) in Seoul - (기후 데이터를 활용한 미세먼지가 가정용 전력소비량에 미치는 영향 연구 - 서울지역 봄철(4월), 가을철(10월)을 중심으로 -)

  • Hwang, Hae-seog;Lee, Jeong-Yoon;Seo, Hye-Soo;Jeong, Sang
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.532-541
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    • 2022
  • Purpose: The purpose of this study is to suggest that the existing power demand prediction method including power demand according to fine dust is included in the existing power consumption by using an air purifier to improve the air quality due to fine dust. Method: The method of the study was compared and analyzed using data on the concentration of fine dust in Seoul for three years, household power consumption, and climate observation, and the effect of fine dust on power consumption in Seoul was identified in April and October. Result: The power consumption of home air purifiers in Seoul due to fine dust differences between April and October was calculated to be 2,141 MWh, accounting for 3.4% of the total difference in the use of home appliances in April and October. Conclusion: The effect of fine dust on household power consumption was verified, and power demand prediction is essential for economic system operation and stable power supply, so power consumption due to fine dust should be considered as well as focusing on power consumption of existing air conditioners and heaters.

Study on security method for scenario-based smartphone vulnerability (시나리오 기반의 스마트폰 취약점에 대한 보안방안 연구)

  • Lee, Jaeho;Son, Minwoo;Lee, Sang-Joon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.6
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    • pp.835-844
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    • 2018
  • Recently, as the number of smartphone users has been increasing worldwide, various services such as electronic payment, internet use, and financial settlement are being used as a smartphone. In addition, researches for home appliance control and automobile control using smartphone are conducted. As such, smartphone users can enjoy a more convenient life, but by hacking smartphones, tapping texts and conversations on smartphones, tracking location through spy apps, DDoS attacks using smartphones, and malicious apps When a message is received at a specific telephone number when using a micropayment, the corresponding text message is transmitted to a remote server, thereby increasing the risk of leakage of personal information and the like. Therefore, in this paper, we define the risk factors of the smartphone that are caused by the internal and external environmental, physical, contents (apps) of the smartphone through the smartphone that we use in real life, We propose a method to check vulnerability of smartphone security solution such as CC evaluation and the most effective response technique for each risk of smartphone by defining the technique.

Simulation platform for living environment to ensure quality life (쾌적한 생활 설계를 위한 주거 및 사무실 시뮬레이터개발)

  • Park, Se-Jin;Kim, Chul-Jung;Kim, Si-Kyung;Mazumder, Mohammad Mynuddin Gani
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.4
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    • pp.853-860
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    • 2007
  • In this modern era, human beings lead their life in complex environment where there are lots of parameters such as temperature, light, smell, sound, visual stimulus etc. that play important role for quality life. These parameters affect physical and mental behavior of a human being immensely. To ensure quality life the demand for quality products is always associated with human emotion and sensibility. Due to human sensibility and emotion involvement with quality life, the design stages of any kind of product must include some certain features related with emotion and sensibility. The cues for optimizing artificial environment are the physiological responses of human in that environment. The conventional approach of environmental physiology is to measure the relationship between environmental physical parameters and human psychological parameters under artificial conditions. Using that approach we tried to design an artificial environment for our daily lives and activities associated with both physiological and psychological behavior. We developed the technique to present the mock environment and software to measure and evaluate sensibility physiologically or psychologically and a simulator to measure and evaluate sensibility that can be utilized for large scale industrial production and design of environment. Simulator to measure and analyze human sensibility (SMAS) was constructed, which was utilized to estimate human sensibility and to simulate living and office environment.

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