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题型:阅读理解-阅读单选 难度:0.4 引用次数:430 题号:15847326

If someone created a flying machine capable of tracking you down by listening for your voice, you might be terrified. But what if you were trapped in ruins after a natural disaster and first responders couldn’t locate you? Maybe then a human-seeking drone (无人机) wouldn’t be such a terrible idea. That concept is the focus for engineers at German’s Fraunhofer FIE Institute, who’ve built a drone to find people by detecting (探测) human screams.

“The human-seeking drone would be ideal for post-disaster situations, such as earthquakes, hurricanes and wildfires”, said Macarena Varela, one of the lead engineers. “They could hover over an area that rescue crews have difficulty getting to and locate exactly where people may be trapped.”

Locating people by sound presents its share of challenges. An auditory (听觉的) system would need to distinguish human cries from sounds that often happen in nature, such as animal calls and wind. It might also need to recognize patterns associated with kicking, clapping or other ways people try to get the attention of rescue teams.

Engineers took those situations into account when building out their concept drone. They recorded themselves screaming, tapping and creating other noises that might be a sign of people in trouble. Then, they analyzed each sound frequency to find common signatures and used those to train artificial intelligence software. They also worked to remove the noise created by the drone and other environmental sounds.

Once the software part was complete, the team placed tiny digital microphones under the drone and used signal processing techniques that enabled them to track where human noises are coming from. The microphones also enhanced the volume and clarity of the speech. So far, they have conducted successful open field experiments, finding that the drone can estimate a victim’s location within a few seconds of picking up sound.

Next, they would like to add a higher frequency microphone to a drone to acquire more audio sound signals. The idea is to pick up noises from hundreds of meters away, Varela said. In the real world, victim's location data might one day be sent wirelessly to emergency crews carrying a tablet.

1. What can the auditory system do?
A.Recognize human cries.B.Pick up sounds from far away.
C.Send victim’s location data to a tablet.D.Improve the quality of human screams.
2. What does the underlined word “signatures” in paragraph 4 refer to?
A.Effects.B.Symbols.C.Features.D.Situations.
3. What is the advantage of the human-seeking drone?
A.Its high speed of flying.B.Its long working hours.
C.Its quick response to screams.D.Its easy access to disaster scene.
4. Which of the following can be the best title for the text?
A.AI Enables Drones to Give Better Performance
B.Human-seeking Drones Replace Rescue Crews
C.Rescuers Use Drones to Locate Disaster Survivors
D.Engineers Teach Drones to Hunt Human Screams

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【推荐1】Alexa is a form of artificial intelligence, or AI for short. Many people start their mornings by asking Alexa for the weather forecast or the latest news. A device(设备) that houses Alexa can also play music from your favorite playlists, keep a shopping list, order takeout food, answer questions, send messages and even run “smart” home controls.

Training AI systems to respond to problems with human-like intelligence and learn from their mistakes can take months, or even years. Consider Alexa and similar software, such as Apple’s Siri. To do the tasks its human owners ask, these systems must make sense of and then respond to sentences such as, “Alexa, play my Ed Sheeran playlist” or “Siri, what is the capital of India?”

Computers can’ t understand language as it is spoken by people. So AI researchers must find a way to help humans communicate with computers. The technology used to get computers to “understand” human speech or text is known as natural language processing. By natural language, computer scientists refer to the way people naturally talk or write. To teach an AI system a task like comprehending(理解) a sentence or responding to a person ’s last move in a board game, scientists need to feed it lots of examples.

AlphaGo is an AI system designed by Google that has beaten a human champion, Lee Sedol, at the strategy(策略) board game Go. To train AlphaGo, Google had to show it 30 million Go moves that people had made while playing the game. Then AlphaGo used what it learned to analyze those plays as it played against different versions (版本) of itself. During this practice, the program came up with new moves---ones never seen in games between people.

1. What does the example of Alexa show?
A.AI may replace humans one day.B.AI is playing a role in our modern life.
C.AI has been widely used around the world.D.AI has totally changed people’s bad habits.
2. How do scientists train AI systems?
A.By testing them thousands of times.B.By teaching them almost everything.
C.By giving them quite a lot of tasks to do.D.By providing them with large amounts of data.
3. What can we learn about AlphaGo?
A.It has become very skillful and intelligentB.It is the most convenient AI system.
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【推荐2】If you’re a pasta (面食) lover, then you know there’re fat noodles, round noodles, shells, and many, many more. Some of these pastas, like ordinary spaghetti, pack easily into small box or package. But others require much larger boxes or bags because of their hard 3D shapes.

Now a team of researchers at Carnegie Mellon University (CMU) and Zhejiang University has figured out a way that pasta can be packed flat, like sticks of gum in a package, and still form fancy 3D shapes once cooked.

Lining Yao who leads the “Morphing Matter Lab” says the team admires flat-pack furniture sold by IKEA that comes tightly packed in a box, but then can be built into a large piece of furniture which takes up a much greater amount of space.

To bring the flat-pack idea to the pasta world, the researchers used computers to help them plan their groove (凹槽) patterns and stamped grooves in the pasta. “The groove side expands less than the smooth side, leading the pasta to change into shape,” explains Teng Zhang, one of the researchers. But knowing where to make them is the trick. By doing that, the researchers are able to fix the shape of the pasta in the end.

Professor Yao has also worked to make noodles fold before, by adding something special that could be eaten to the surface of the pasta. This time, though, the pasta is made with just the right amount of flour and water, and the only things affecting the shape are the grooves.

The new pasta tastes just like ordinary pasta once it is cooked. Meanwhile, this method does not affect the pasta production speed and preservation time. The team hopes their new method will help us in two ways. Like flat-pack furniture, it should take up less space when it’s being transported, which is much easier on the environment. The pasta should also require much less packaging, meaning far less plastic waste.

1. What do we know about pastas from Paragraph 1?
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C.They need to be packed strictly.D.They are only kept in large boxes.
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3. How did the researchers control the final shape of the pasta?
A.By applying the computer apps.B.By making grooves in right spots.
C.By adding the right amount of four.D.By coating it with something special.
4. What is the researchers’ final purpose in creating the flat-pack pasta?
A.To produce it more easily.B.To get it more tasty.
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【推荐3】Microsoft has developed a new smart phone app that interprets eye signals and translates them into letters, allowing people with motor neurone disease to communicate with others from a phone.

The GazeSpeak app combines a smartphone’s camera with artificial intelligence to recognize eye movements in real time and convert(改变) them into letters, words and sentences.

For people suffering from ALS(渐冻症), also known as motor neurone disease, eye movement can be the only way they are able to communicate.

“Current eye-tracking input systems for people with ALS or other motor impairments are expensive, not robust under sunlight, and require frequent re-calibration and substantial, relatively immobile setups,” said Xiaoyi Zhang, a researcher at Microsoft who developed the technology.

“To mitigate the drawbacks…we created GazeSpeak, an eye-gesture communication system that runs on a smartphone, and is designed to be low-cost, robust, portable and easy to learn.”

The app is used by the listener by pointing their smartphone at the speaker. A chart that can be stuck to the back of the smartphone is then used by the speaker to determine which eye movements to make in order to communicate.

The sticker shows four grids(方格) of letters, which each correspond to a different eye movement. By looking up, down, left or right, the speaker selects which grids the letters they want belong to. The artificial intelligence algorithm(程序) is then able to predict the word or sentence they are trying to say.

1. What does the underlined word “mitigate” in paragraph 5 probably mean?
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C.The sticker plays an important role in Gaze Speak.
D.The writer is making an advertisement for Gaze Speaker.
3. What’s the writer’s attitude towards the invention of Gaze Speaker?
A.doubtfulB.negative
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