1. What is Uncle Meyer?
A.A teacher. | B.A librarian. | C.A historian. |
A.The zoo. | B.The museum. | C.The library. |
A.Support museums. | B.Study Chinese. | C.Go on a trip to China. |
A.Four. | B.Three. | C.Two. |
There’s a park close to my house, with a small lake in one corner that’s home to many creatures. Every Sunday morning, I go jogging in this park. As I circle the lake, I notice an elderly woman sitting by the water with a metal cage beside her.
Today, my curiosity made me stop and approach her.
As I took a closer look, I saw that the cage was actually a small metal trap, and there were a few turtles walking around the trap, unharmed. The lady took one of the turtles in her hands and gently rubbed the shell (壳) with a sponge (海绵) brush.
I came over to say hello to her politely. “Good morning,” I said. “I come here for jogging every Sunday morning and I see you sitting here by the lake. Please don’t mind my curiosity and innocence, but I really want to know what you’re doing to the turtles.”
The lady smiled and said, “I am cleaning the turtle’s shell. Turtles gradually get more and more algae (水藻) and other dirt on their shells, which weighs them down and prevents their swimming abilities. It also reduces their ability to absorb heat. Over time, their shells become weak and rot (腐烂) away.”
“Oh wow! That’s really thoughtful of you!” I shouted in shock.
She continued, “Every Sunday morning, I spend a couple of hours by the lake to relax and help out these little guys stay clean. Strange as it sounds, this is my little way to make a difference in the world.”
I thought for a while and said, “But all freshwater turtles have algae and other dirt on their shells. They live with that their whole lives, don’t they?”
“Yes, sadly, they can’t help it,” she replied.
注意:1. 续写词数应为150左右;
2. 请按如下格式在答题卡的相应位置作答。
However, I wasn’t completely sure whether it was worthwhile.
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________“Can I help you clean the turtles?” I asked the lady.
________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________3 . A research team led by Professors Ki-Hun Jeong and Doheon Lee from the Korea Advanced Institute of Science and Technology (KAIST) Department of Bio and Brain Engineering reported the development of a technique for facial expression detection by mixing light-field camera techniques with artificial intelligence (AI) technology.
Unlike a conventional camera, the light-field camera contains sets of micro-lens (微透镜) in front of the image sensor, which makes the camera small enough to fit into a smart phone while allowing it to acquire the spatial and directional information of the light with a single shot. The technique has received attention as it can reconstruct images in a variety of ways including multi-views, refocusing and 3D image acquisition, giving rise to many potential applications.
However, the optical (光学的) crosstalk between shadows caused by external light sources in the environment and the micro-lens has limited existing light-field cameras from being able to provide accurate image contrast and 3D reconstruction.
The research team applied a laser in the near-infrared (NIR) range to stabilize the accuracy of 3D image reconstruction that previously depended on environmental light. When an external light source is shone on a face at 0-30, and 60-degree angles, the light-field camera reduces 54% of the image reconstruction errors. Additionally, by inserting a light-absorbing layer for visible and NIR wavelengths between the sets of micro-lens, the team could minimize optical crosstalk while increasing the image contrast by 2.1 times.
Through this technique, the team could overcome the limitations of existing light-field cameras and develop a more advanced NIR-based light-field camera (NIR-LFC) improved for the 3D image reconstruction of facial expressions. Using the NIR-LFC, the team acquired high-quality 3D reconstruction images of facial expressions expressing various emotions regardless of the lighting conditions of the surrounding environment.
The facial expressions in the acquired 3D images were distinguished through machine learning with an average of 85% accuracy-a statistically significant figure compared to when 2D images were used. Furthermore, by calculating the inter-dependency of distance information that varies with facial expression in 3D images, the team could identify the information alight-field camera uses to distinguish human expressions.
1. What can we learn about the light-field camera?A.It has some application prospects. |
B.It reconstructs images in a single way. |
C.It attracts attention due to its delicacy. |
D.It is bigger than the conventional camera. |
A.The sources of light in the light-field camera. |
B.The working principle of the light-field camera. |
C.The light-field camera image reconstruction errors. |
D.The cause of optical crosstalk in the light-field camera. |
A.It acquires 2D images. |
B.It increases the image accuracy by 85%. |
C.It is limited by the surrounding environment. |
D.It is the upgraded version of the light-field camera. |
A.Light-field Cameras Produce 2D and 3D Images |
B.Al Light-field Cameras Add Many Applications |
C.Al Light-field Cameras Read 3D Facial Expressions |
D.Light-field Cameras Focus on the Distance Information |
1. Where does the conversation take place?
A.In a hotel. | B.In the woman's house. | C.In a kindergarten. |
A.Their price is cheap enough to afford. |
B.They have been painted recently. |
C.None of them are standard rooms. |
A.$444. | B.$410. | C.$ 205. |
1. How did the man learn to play the piano?
A.By listening to music online. |
B.By taking piano lessons. |
C.By practising at his friend’s house. |
A.For four years. | B.For one year. | C.For six years. |
A.Being grateful. | B.Being confident. | C.Being determined. |
Last night came the first snow of the year. The trees put on caps overnight and the little town was blanketed with fresh snow. The children had a snow day off from school. For them, the fall of snow was a magical event. Jack could hardly wait to go outside. His mother handed him a scarf, a hat and mitts and suggested he build a snowman.
Jack dressed, got a bucket and collected everything he needed to decorate his snowman. He walked into his front yard, happy to hear the snow crunch under his feet. He first packed some snow and made a very small ball. Then he got on his knees and rolled the snow into a big ball.
At another window, a little girl flattened her nose against the cold window, watching Jack play alone. It was his new neighbour Nancy. Nancy asked her mother if she could go outside and play. Her mother agreed. Immediately, Nancy zipped up her coat, tugged (用力拉上) her boots and ran outside to Jack’s yard. She said hello and asked if she could help him finish his snowman. Jack nodded willingly.
“Okay. What can I do?” asked Nancy.
“I built my snowman’s body with two snowballs. I need to roll one more for its head.” “But snowmen only have two snowballs. One is for the body and one is for the head,” Nancy laughed.
“No, snowmen always have three snowballs,” Jack argued. “I don’t think I need you to help me after all.” He made a small snowball and rolled it away, leaving Nancy alone.
Low in spirits, Nancy thought to herself, “I’m going to make my own.”
注意:
1. 续写词数应为150左右;
2. 请按如下格式在答题卡的相应位置作答。
Nancy walked back to her own yard.
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Hearing Jack’s cry, Nancy ran over to his yard.
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1. Where is Space Camp?
A.In space. | B.Next to the Space Habitat. |
C.Next to the Kennedy Space Center. |
A.Experience the space walk. |
B.Sleep in a special bed. |
C.See a rocket take off. |
A.People have to eat freeze-dried food. |
B.Children under nine can’t take part. |
C.Participants must build a rocket. |
A.$550. | B.$ 875. | C.$1,500. |
1. What was one of Sammo Hung’s hobbies?
A.Drawing. | B.Dancing. | C.Swimming. |
A.65. | B.70. | C.75. |
A.An actor. | B.A singer. | C.A dancer. |
A.On TV. | B.In the magazine. | C.On the Internet. |
1. Who may the speaker be?
A.A host. | B.A student. | C.An employer. |
A.Which major employers most value. |
B.Whether it is easy to find a job. |
C.The result of the study on the job market. |
A.20%, | B.22%, | C.50%. |
A.Their choices are limited. |
B.The salary is usually good. |
C.They need more work experience. |
1. How many people will go to Keswick with the woman?
A.4. | B.5. | C.6. |
A.On Friday. | B.On Saturday. | C.On Sunday. |
A.In a camp. | B.In a five-star hotel. | C.In a country inn. |
A.Watch Friends. | B.Visit his aunt. | C.Do some shopping. |