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选修7Unit 2
李仕才
考点规范练 (选修7 Unit 2) 【短文语法填空】
阅读下面材料,在空白处填入适当的内容(1个单词) 或括号内单词的正确形式。 A 19-year-old girl posing for a photo on the railroad tracks was hit and killed by a train on Saturday afternoon. The girl, __1__ name has yet to be released, was __2__(report) posing for a selfie on a track in a village, Guangdong province. The section of the railway is famous for its beautiful rose blossoms.
Witnesses said that the girl did not realize a train was approaching. There were many visitors __3__(take) photos alongside the tracks, and some people shouted warnings, __4__ no one succeeded in getting the girl’s attention. __5__ employee got off the train to examine the girl and called the police immediately __6__ the accident occurred. __7__(late), she was sent to a nearby hospital by ambulance. According to the nurse on duty that day, the victim showed no sign of life upon her arrival at the hospital.
This is not the first time that a visitor __8__(kill) by a train on that section of the tracks, said one of the villagers. More and more visitors, especially young people, are finding their way onto the train lines, especially those near flowerbeds and spring blossoms. They like to photograph __9__(they) in the scenic spots.
Local police warned people that the new trend of taking selfies while standing on train tracks puts many people’s lives __10__ risk. 【参考答案】
1. whose 2. reportedly 3. taking 4. but 5. An 6. after 7. Later 8. has been killed 9. themselves 10. at
Ⅰ.阅读理解 A
Each year,hikers and mountain bikers get lost or injured in the
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wilderness.Search and rescue efforts can involve 20 or more people.But a new “smart” drone(无人机) can follow hiking trails(小路) without a pilot’s assistance.This could allow rescuers to search more efficiently.
Scientists outfitted a craft with a single camera.As the drone’s “eye”,the camera pointed forwards.But having an eye wasn’t enough.The drone also needed a “brain” to understand what it was seeing.And that brain would have to recognize what constitutes a trail.Camera images,however,can be very difficult for a computer to interpret,study leader Alessandro Giusti notes.So he and his team used photos of forest trails to train their drone’s neural network(神经网络).
They attached three GoPro cameras to a single headband.One camera pointed straight forward.The other two were directed 30 degrees to the right and left of the centre.A hiker put the package on and then hit the trails in a forested part of Switzerland.Over several weeks,the cameras recorded a total of 8 hours of video covering 7 kilometres of trails.
The researchers then divided the video into individual still images to train the neural network.The network learned to identify what a trail looked like.The team then tested the program with unused images from the video.The computer did a slightly better job than the people had in correctly classifying the images.This meant the drone was ready to navigate the real world on its own.Giusti and his team took their now “smart” device to a forest with trails that had not been used in the drone’s training.It flew along the path,constantly adjusting its direction based on the images coming in through its camera.
The drone didn’t perform as well in real-life as it did in the lab,Giusti admits.That’s because the drone’s camera took lower-quality images than the cameras that had been used to train it.As a result,the images being taken by the drone looked different,he explains.This confused its neural network.
“It’s an exciting use for neural networks,” says Christopher Rasmussen,a computer-vision scientist who was not involved with the study.“However,the problems faced in the experiments show that there are still some important issues to be worked out.”
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1.The “smart” drone has been created in order to help . A.find travelers who get lost B.ensure the safety of travelers C.deliver necessities to travelers D.show travelers the way to a place
2.While being tested to classify the images in the lab,the computer . A.did as well as the people B.did a lot better than the people C.did much worse than the people D.did a little better than the people
3.Why didn’t the drone perform well in the forest? A.The light in the forest was very poor. B.The trees or bushes covered the trails. C.The drone couldn’t fly very low there. D.The pictures taken were of poor quality.
4.What is Christopher Rasmussen’s attitude towards the results of the experiments? A.Critical. B.Doubtful. C.Objective. B
(2016·石家庄调研检测)
Shopping centres,stadiums and universities may soon have a new tool to help fight crime.
A California company called Knightscope says its robots can predict and prevent crime.Knightscope says the goal is to reduce crime by half in areas the robots guard.
William Santana Li is the chief executive officer of Knightscope.He says,“These robot security guards will change the world.Our planet has seven billion people on it.It’s going to quickly get to nine billion people.The security equipment that we have globally is just not going to develop that fast.The company’s Autonomous Data Machines can become the eyes and ears of law enforcement (执行).”
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D.Optimistic.
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