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么運(yùn)動項(xiàng)目就參與什么項(xiàng)目,只要長期堅(jiān)持就好。故選A。DA US government study has found that facial recognition technology is getting better at identifying people wearing masks. The study is part of an ongoing research by the US National Institute of Standards and Technology (NIST). The agency has examined the effectiveness of more than 150 facial recognition systems on people wearing face coverings . The systems are powered by machine learning algorithms (算法). The first results of the study were announced in July, as health officials across the world urged people to wear masks to limit the spread of COVID19. New findings were released this week . Police agencies have long used facial recognition technology to search for and help catch criminals. It can also be used to unlock phones or other electronic devices. Some robots use facial recognition technology to recognize the people they are municating with. However, the wide use of masks in public has created major difficulties for such systems. The study looked at facial recognition systems already in use before the pandemic. It also looked at systems specially developed to work on masked faces. The NIST said it processed a total of 6. 2 million images for the experiment People in the images were not actually wearing masks. So, the researchers digitally added different mask shapes to faces in the pictures for use in the study. In some cases, up to 70 percent of a person’s face was covered in the images. Overall, the research shows the topperforming facial recognition systems fail to correctly identify unmasked individuals about 0. 3 percent of the time and the failure rate rose to about 5 percent with masked images. Many of the lower performing algorithms, however, had much higher error rates with masked images — as high as 20 to 50 percent. In the latest findings, researchers included results from 65 new facial recognition systems that have been developed since the start of the pandemic. “Some of these systems performed “significantly better” than the earlier ones,” Mei Ngan, a lead researcher on the project, said in a statement. The study also found roundshaped masks — which cover only the mouth and nose — led to fewer errors than wider ones that stretch across the cheeks. The new study also ran tests to see whether different colored masks would affect error rates. The team used red, white, black and light blue. The research findings suggested that generally, the red and black masks led to higher failure rates than the other colors.12. How does the author mainly present the study finding?A. By giving definitions and examples.B. By giving examples and a brief description.C. By presenting data and making a parison.D. By giving definitions and presenting data.13. According to the study, what has affected the effectiveness of facial recognition?A. The speed of the machine learning algorithms.B. The operators’ skill in performing algorithms.C. The number of the tested people.D. The diversity of face coverings.14. Who is the most difficult to recognize?A. A girl wearing a white roundshaped mask.B. A lady with a red mask stretching across her cheeks.C. A man wearing a light blue mask covering his mouth and nose.D. A man wearing a black mask with his nose and mouth covered up .15. What is the author’s attitude towards the facial recognition systems?A. Objective B. NegativeC. Uncaring. D. Doubtful.【答案】32. C 33. D 34. B 35. A【解析】這是一篇說明文。美國政府的一項(xiàng)研究發(fā)現(xiàn),面部識別技術(shù)在識別戴口罩的人方面正變得越來越好?!?2題詳解】推理判斷題。根據(jù)第三段最后兩句“Overall, the research shows the topperforming facial recognition systems fail to correctly identify unmasked individuals about 0. 3 percent of the time and the failure rate rose to about 5 percent with masked images. Many of the lower performing algorithms, however, had much higher error rates with masked images — as high as 20 to 50 percent.”(總來說,研究表明,表現(xiàn)最好的面部識別系統(tǒng)不能正確地識別出大約0. 3%個未被蒙面的人。而在使用蒙面圖像的情況下,失敗率上升到5%左右。然而,許多表現(xiàn)較差的算法,對蒙面圖像的錯誤率要高得多——高達(dá)20%到50%。)可知,作者主要通過提供數(shù)據(jù)和對比的方式來呈現(xiàn)研究結(jié)果。故選C。【13題詳解】細(xì)節(jié)理解題。根據(jù)最后一段倒數(shù)第三句“The new study also ran tests to see whether different colored masks would affect error rates. ”(這項(xiàng)新研究還進(jìn)行了測試,看不同顏色的口罩是否會影響錯誤率。)和倒數(shù)第四句“The study also found roundshaped masks — which cover only the mouth and nose — led to fewer errors than wider ones that stretch across the cheeks.”(研究還發(fā)現(xiàn),圓形口罩(只覆蓋嘴和鼻子)比寬口罩(覆蓋臉頰)產(chǎn)生的錯誤要少。)可知,口罩的多樣性影響面部識別的有效性。故選D?!?4題詳解】推理判斷題。根據(jù)最后一段最后一句“The research findings suggested that generally, the red and black masks led to higher failure rates than the other colors.”(研究結(jié)果表明,一般來說,紅色和黑色面具比其他顏色的面具失敗率更高。)和倒數(shù)第四句“The study also found roundshaped masks — which cover only the mouth and nose — led to fewer errors than wider ones that stretch across the cheeks.”(研究還發(fā)現(xiàn),圓形口罩(只覆蓋嘴和鼻子)比寬口罩(覆蓋臉頰)產(chǎn)生的錯誤要少。)可知,一位戴著紅色寬口罩的女士會最難識別。故選B?!?5題詳解】推理判斷題。全文只是介紹了對人臉識別系統(tǒng)的研究,并沒有表達(dá)作者的個人觀點(diǎn),所以作者對人臉識別系統(tǒng)持客觀態(tài)度。故選A。第二節(jié)(共5小題;,)閱讀短文,根據(jù)短文內(nèi)容,從短文后的七個選項(xiàng)中選出能填入空白處的最佳選項(xiàng)。選項(xiàng)中有兩項(xiàng)為多余選項(xiàng)。How To Make Your Wardrobe(衣柜) EcoFriendlyMaybe you’ve started to buy recyclable products and carry reusable grocery bags.16_________Even when you’re doing all these, there may be something you’re pletely ignoring — your wardrobe. You don’t necessarily have to replace your entire wardrobe with items from ecofriendly labels. Instead, you could make a few adjustments here and there to fill your closet with ecofriendly lifestyle. Take a look at the tips below:17_________Research shows that 60 to 80 percent of clothes’ environmental impact es from how often it is washed. You can wear your clothes two to three times before washing them. Then use cold water to save energy.Be a big picture shopper. Before you buy something, consider: Will I still want to wear this a year from now?18_________Choose clothes with right materials. When you’re buying new clothes, make sure you go for materials that have a low impact on the environment.19_________Even when you’re buying other clothes, try to look for