35.
(A) advertised
(B) alienated
(C) alleged
(D) approved
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統計: A(27), B(86), C(137), D(38), E(0) #718302
統計: A(27), B(86), C(137), D(38), E(0) #718302
詳解 (共 7 筆)
#982966
alleged 涉嫌的
alienated疏遠的
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0
#2746640
第35題至第39題為題組2001年9月11日恐怖分子襲擊紐約市後,波士頓的機場錄像帶揭示了失去的機會。在登機前,35名劫機者之一穆罕默德阿塔在波士頓洛根機場的安保攝像機上被捕。如果那台攝像機36是一台帶有Atta的照片的電腦數據庫呢?安全人員能否認定他是冒險並將他從飛機上移開? 37的面部識別技術說是的。他們說,技術上可行的是建立一個可靠的系統,通過數字拍攝他們的臉部,從人群中挑出可疑的人。通過發現壞人來防止恐怖襲擊的可能性是38。人臉識別掃描已被用於足球場,擁擠的街道以及機場,希望這樣做。世界上最好的面部識別裝置就是人類的大腦。你可能會懷疑,39歲的母親或父親如何分辨同卵雙胞胎之間的差異。這兩個孩子可能看起來和你完全一樣,但父母彼此之間沒有任何困難。不知何故,父母一直專注於區分每個孩子的功能的小組合。不管你多努力,你都看不到相同的模式。
by google
13
1
#1228008
其中一名可疑的劫機者:Mohammed Atta,在波士頓的Logan機場上飛機前被保安監視器拍到。
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#1227779
One of the alleged hijackers, Mohammed Atta, was captured on the security cameras at Boston’s Logan Airport just before boarding his flight.
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#5070945
所以一開始抓到那一名是依靠保安的經驗(透過攝像機抓到)而不是人臉辨識系統,是嗎?
....不然我後面怎麼意思都看反。
....不然我後面怎麼意思都看反。
1
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#6263487
After terrorists struck New York City on September 11, 2001, airport videotapes from Boston revealed a lost opportunity. One of the alleged hijackers, Mohammed Atta, was captured on the security cameras at Boston’s Logan Airport just before boarding his flight.
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2001年9月11日,恐怖分子襲擊紐約市後,波士頓機場的錄像帶揭露一個錯失的機會。被指控劫機者中的穆罕默德·阿塔在登機前被波士頓洛根機場的安全攝像頭捕捉到。
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What if that camera had been linked a computer database with Atta’s picture in it? Could security personnel have identified him as a risk and removed him from the plane?
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假使攝像頭已連接阿塔照片的電腦數據庫呢?安全人員是否能夠將其視為危險分子從飛機上排除?
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Proponents of face-recognition technology say yes. It is technically possible, they say, to build a reliable system to pick suspicious people out of a crowd by digitally photographing their faces.
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臉部識別技術的支持者認為可以。他們說,技術上完全可以建立一個可靠的系統,藉由數位攝影在人群中挑選出可疑人物。
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The possibility of preventing a terrorist attack by spotting the bad guys is tempting. Face-recognition sweeps have been used at football stadiums, in crowded streets, and at airports in the hope of doing just that.
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藉由識別壞人來預防恐怖攻擊的可能性非常誘人。臉部識別掃描系統已被用於足球場、人群密集的街道和機場,目的就是為了達到這一目標。
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The world’s best face-recognition device is the human brain. You may wonder, for example , how a mother or father can tell the difference between identical twins. The two children may look exactly the same to you, but the parent has no trouble telling one from the other. Somehow, the parent has focused on small combinations of features that distinguish each child. No matter how hard you try, you cannot see the same patterns.
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人腦是世界最好的臉部識別系統。你可能會疑惑,比方說,父母是如何分辨一對雙胞胎?這兩個孩子對你來說看起來可能一樣,但父母卻毫不費力地區分他們。父母專注在孩子的微小特徵以識別他們的不同。無論你多麼努力,都無法看到相同的模式。
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