關於 electrical images ，我們在網路上蒐集到這些相關的討論、資訊與評價

「宋小宋小，漢成呼叫！」
「羚羊，你不要這麼衝動嘛！」
「子伶，妳真的不輸給男生耶！」
「他OHCA了！」
「你CPR做得很好，這附近有沒有AED？快！」

看到這幾句台詞，就知道這是「火神的眼淚 Tears on Fire」的經典內容，
看完這齣公視的作品，
相信大家更能同理消防人員的心路歷程，
將來，我們也不要成為酒空或刁民🤛🏼

感謝吳學姊的整理，俐媽也貢獻我的所知，
今天獻給大家「消防篇」～
———————————————————————
🔥 俐媽英文教室—消防篇：
🏨 專有名詞類：
1. OHCA = out of hospital cardiac arrest 到院前心肺功能停止（看火神不會這個等於沒看😂）
2. PTSD = posttraumatic stress disorder 創傷後壓力症候群
3. EMT = emergency medical technician 緊急救護技術員
4. ROSC = return of spontaneous circulation恢復自發性循環
5. Heimlich Maneuver 哈姆立克急救法
6. CPR = cardiopulmonary resuscitation
7. AED = automated emergency defibrillator
#俐媽英文教室aed篇

🚑 各種車子：
1. tanker fire engine 水箱車
2. aerial ladder fire truck 雲梯消防車
3. chemical fire engine 化學消防車
4. chemical hazard rescue vehicle 化學災害處理車
5. ambulance 救護車
6. air compressor fire engine 空氣壓縮車

⛑ 裝備的部分：
1. helmet 安全帽
2. oxygen cylinder 氧氣瓶
3. face mask 面罩
4. personal alert safety system 個人安全警示器（又稱為救命器）
5. fireproof wear 防火衣
6. fire hydrant 消防栓
7. sprinkler system 消防灑水系統
8. electric hydraulic cutter 電動油壓剪
9. hose 水帶
10. Hooligan light 三叉撬棒

🧯 劇情相關名詞：
1. fire disaster (n.) 火災
2. fuel (n.) 燃料
3. accelerant (n.) 促燃劑
4. rescue (n.)(v.) 拯救
5. pneumothorax (n.) 氣胸(pneumono-: lung)
6. endotracheal intubation (n.) 氣管插管
7. needle decompression (n.) 針刺減壓
8. smoke alert (n.) 煙霧警報
9. radio equipment (n.) 無線電
10. electrical fire(n.) 電線走火
11. ventilation (n.) 通風/排煙
12. gender/sexual discrimination (n.) 性別歧視
13. alcoholism (n.) 酒癮 ▶️ alcoholic (n.) 酒鬼
14. commit suicide (v.) 自殺
15. fall down from the building墜樓
16. collar (n.) 頸圈
17. drown (v.) 溺斃
18. hovercraft (n.) 氣墊船
19. arson (n.) 縱火罪
20. hyperventilation (n.) 換氣過度
21. fire escape (n.) 太平梯
22. break into house (v.) 破門而入
23. lobby (v.) 關說
24. give sb a ticket for Ving 開罰單
25. flashover (n.) 閃燃
26. backdraft (n.) 爆燃
27. put out/ extinguish (v.) 撲滅 ▶️ fire extinguisher (n.) 滅火器
28. combustible/ flammable/ inflammable (a.) 可/易燃的
29. simulation (n.) 模擬
30. protest against... 抗議

其他豐富的消防相關英文資源，請看：
https://www.tyfd.gov.tw/chinese/06/images/消防專業用語篇.pdf
———————————————————————
消防人員、救護人員，您們辛苦了❤️🙏🏻

#俐媽英文教室
#俐媽英文教室火災篇
#俐媽英文教室消防篇
#俐媽英文教室火神的眼淚篇
#期待第二季
#台大明明和您一起平安健康不掉淚

【Talk】Prof. Zhengya Zhang (U Michigan): Neuromorphic Computing Using Sparse Codes: From Algorithm to Hardware (July 16, 2015(Thursday, 10:30am-12pm)

Invite you all to join it. 歡迎踴躍參加 !

Title: Neuromorphic Computing Using Sparse Codes: From Algorithm to Hardware

Date: July 16, 2015 ( Thursday, 10:30 am ~ 12:00 pm)

Place: ED528, 5F, Engineering Building 4, NCTU
交通大學(光復校區)工程四館5樓528室

Speaker: Prof. Zhengya Zhang (University of Michigan, Ann Arbor)

Abstract:
Some of the latest advances in computer vision have been built upon the understanding of the mammalian primary visual cortex (V1). The receptive fields of V1 neurons can be compared to the basis functions underlying natural images. Learning the receptive fields allows us to carry out complex vision processing, including efficient image encoding, feature detection, and classification. Sparse coding is one development in unsupervised machine learning for training a network of neurons using natural images to extract the receptive fields that resemble the V1 receptive fields. We explore the dynamics of the sparse coding algorithm for an efficient mapping onto practical hardware. Design considerations involving tuning network and neuron responses have a significant impact on the neuron spiking pattern that determines the fidelity of image processing and the efficiency of resource utilization. The spiking pattern can be further exploited to improve the performance and scalability of the hardware architecture. The soft neural computation is intrinsically error tolerant and many opportunities exist in approximating the neuron communication and computation in designing high-performance and energy-efficient image processing hardware.

Biography:
Zhengya Zhang received the B.Sc. degree from the University of Waterloo in Canada in 2003, and the M.S. and Ph.D. degrees from the University of California, Berkeley, in 2005 and 2009, respectively. Since 2009, he has been with the Department of Electrical Engineeringand Computer Science at the University of Michigan, Ann Arbor, where he is currently an Associate Professor. His research is in the area of low-power and high-performance VLSI circuits and systems for computing, communications and signal processing. Dr. Zhang received the Intel Early Career Faculty Award in 2013, the National Science Foundation CAREER Award in 2011, the David J. Sakrison Memorial Prize from UC Berkeley in 2009, and the Best Student Paper Award at the Symposium on VLSI Circuits in 2009. He is an Associate Editor of the IEEE Transactions on Circuits and Systems-I, II, and the IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Host: 交大電子系楊家驤教授 Email: chy@nctu.edu.tw