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あ ぁ か が さ ざ た だ な は ば ぱ ま や ゃ ら わ ゎ ん い ぃ き ぎ し じ ち ぢ に ひ び ぴ み り う ぅ く ぐ す ず つ づ っ ぬ ふ ぶ ぷ む ゆ ゅ る え ぇ け げ せ ぜ て で ね へ べ ぺ め れ お ぉ こ ご そ ぞ と ど の ほ ぼ ぽ も よ ょ ろ を
ア ァ カ サ ザ タ ダ ナ ハ バ パ マ ヤ ャ ラ ワ ヮ ン イ ィ キ ギ シ ジ チ ヂ ニ ヒ ビ ピ ミ リ ウ ゥ ク グ ス ズ ツ ヅ ッ ヌ フ ブ プ ム ユ ュ ル エ ェ ケ ゲ セ ゼ テ デ ヘ ベ ペ メ レ オ ォ コ ゴ ソ ゾ ト ド ノ ホ ボ ポ モ ヨ ョ ロ ヲ ―

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  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
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Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ σ τ υ φ χ ψ ω
á à Á À é è É È ç Ç ê
Ä Ö Ü ä ö ü ß
ְ ֳ ֲ ֱ ָ ַ ֵ ֶ ִ ֹ ּ ֻ ׂ ׁ ּ פ ם ן ו ט א ר ק ף ך ל ח י ע כ ג ד ש ץ ת צ מ נ ה ב
‘ ’ “ ” 〔 〕 〈 〉 「 」 『 』 【 】 ＂ （ ） ［ ］ ｛ ｝
± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋ － ＜ ＝ ＞
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А Б В Г Д Е Ё Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ъ Ы Ь Э Ю Я а б в г д е ё ж з и й к л м н о п р с т у ф х ц ч ш щ ъ ы ь э ю я
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§ ※ ☆ ★ ○ ● ◎ ◇ ◆ □ ■ △ ▽ → ← ↑ ↓ ↔ 〓 ◁ ◀ ▷ ▶ ♤ ♠ ♡ ♥ ♧ ♣ ⊙ ◈ ▣ ◐ ◑ ▒ ▤ ▥ ▨ ▧ ▦ ▩ ♨ ☏ ☎ ☜ ☞ † ‡ ↕ ↗ ↙ ↖ ↘ ♭ ♩ ♪ ♬ ㉿ ㈜ № ㏇ ™ ㏂ ㏘ ℡ ＃ ＆ ＊ ＠ ª º
ⅰ ⅱ ⅲ ⅳ ⅴ ⅵ ⅶ ⅷ ⅸ ⅹ Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ Ⅶ Ⅷ Ⅸ Ⅹ
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    RISS 인기검색어

      IoT기반 화재 예방 시스템 개발

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      https://www.riss.kr/link?id=A106967277

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      다국어 초록 (Multilingual Abstract)

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      In the last three years, there were 18,179 cases of fire outbreaks in Seoul. Among them, 7,225 cases
      (39.5%) broke out at home, while 10.5% occurred indoors, including restaurants. As a result of these
      fires, 103 people died and properties were damaged. However, the installation rate of residential fire
      fighting facilities is only 30.47%. In the paper, we developed a real-time fire prevention system that can
      be useful at home or offices using simple and inexpensive equipments such as Aduino, environmental
      sensors, laptops, and smartphones, and proved its effectiveness by experiments. In the system, five
      sensors were used to monitor environment such as carbon monoxide, gas, flames, temperature, and
      humidity, all of which proved to work correctly. In addition, we suggested an algorithm to determine
      the degree of the fire risk using the data collected from the five sensors.
      번역하기

      In the last three years, there were 18,179 cases of fire outbreaks in Seoul. Among them, 7,225 cases (39.5%) broke out at home, while 10.5% occurred indoors, including restaurants. As a result of these fires, 103 people died and properties were damage...

      In the last three years, there were 18,179 cases of fire outbreaks in Seoul. Among them, 7,225 cases
      (39.5%) broke out at home, while 10.5% occurred indoors, including restaurants. As a result of these
      fires, 103 people died and properties were damaged. However, the installation rate of residential fire
      fighting facilities is only 30.47%. In the paper, we developed a real-time fire prevention system that can
      be useful at home or offices using simple and inexpensive equipments such as Aduino, environmental
      sensors, laptops, and smartphones, and proved its effectiveness by experiments. In the system, five
      sensors were used to monitor environment such as carbon monoxide, gas, flames, temperature, and
      humidity, all of which proved to work correctly. In addition, we suggested an algorithm to determine
      the degree of the fire risk using the data collected from the five sensors.

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