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题型:阅读理解-阅读单选 难度:0.65 引用次数:83 题号:12664840

Range anxiety(里程焦虑), the fear of running out of power before being able to recharge an electric vehicle, may be a thing of the past, according to a team of Penn State engineers who are looking at lithium iron phosphate batteries(磷酸铁锂电池) that have a range of 250 miles with the ability to charge in 10 minutes.

“We developed a pretty clever battery for mass-market electric vehicles,” said Chao-Yang Wang, a professor and director of the Electrochemical Engine Center at Penn State. “There is no more range anxiety and this battery is affordable”. The researchers also say that the battery should be good for 2 million miles in its lifetime.

They report today in Nature Energy that the key to long-life and rapid recharging is the battery’s ability to quickly heat up to 140 degrees Fahrenheit, for charge and discharge, and then cool down when the battery is not working.

The battery uses a self-heating approach previously developed in Wang’s center. The self-heating battery uses a thin nickel foil(镍箔) with one end attached to the negative terminal and the other extending outside the cell to create a third terminal. Once electrons flow it rapidly heats up the nickel foil through resistance heating and warm the inside of the battery. Once the battery’s internal temperature is 140 degrees F, the switch opens and the battery is ready for rapid charge or discharge.

“This battery has slenderized weight, volume and cost,” said Wang. “I am very happy that we finally found a battery that will benefit the mainstream consumer mass market.” According to Wang, these smaller batteries can produce a large amount of power upon heating—40 kilowatt hours and 300 kilowatts of power. An electric vehicle with this battery could go from zero to 60 miles per hour in 3 seconds and would drive like a Porsche, he said. “This is how we are going to change the environment and not contribute to just the luxury cars,” said Wang. “Let everyone afford electric vehicles.”

1. Which can best describe the battery in the text?
A.Cheap and heavy.B.Costly but beneficial.
C.Expensive but small-sized.D.Affordable and efficient.
2. Why can the battery be used for long and charged so fast?
A.It is environmentally friendly.B.It heats up and cools down rapidly.
C.It helps speed up the car instantly.D.It charges when it doesn’t work.
3. What does Paragraph 4 mainly talk about?
A.How the battery works.B.Advantages of the battery.
C.How the battery is produced.D.Applications of the battery.
4. The underlined word “slenderized” in Paragraph 5 can probably be replaced by________.
A.promotedB.gatheredC.combinedD.reduced

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阅读理解-任务型阅读(约550词) | 适中 (0.65)

【推荐1】Translation is an essential tool for communication between businesses, between companies and their customers, between organizations, and between countries. The most common way to get a translation done is to go through a translation agency or a translator. But the past few years have seen the appearance of a new type of translators: machine translators. Nowadays a person can point his smartphone at a sign in downtown Japan and a machine translation app will display the text on the sign in English. So, with such advanced technology being created, the question arises, win human translators will be jobless in future?

When talking about Machine Translations we all think of Google Translate first, for one thing, it is the most famous one with more than 500 million users worldwide. It is a huge number compared to human translators: over 330,000 translators internationally which is just 0.0045% of the world population. Google Translate translates 100 billion words per day, that is, 41,666,666 words per hour, in comparison 250 words per hour are translated by professionals. On average human translation of 1 word equals to $0.11, which means that if we gave the job done by Google Translate to professionals they would have daily jobs of 10,000 words which multiplied by $0.11 is $ 1100 a day.

It seems that machine translators have taken the lead in the competition with humans. However, not everything in the garden is rose. Not every language is offered by machine translation tools: while Google's translation gives plenty of languages, what if your required language isn't on the list?

The biggest complaint regarding machine translation is that it may even basically provide a literal, word-for-word translation. The translation, even though it may be comprehensible, will not sound natural at all, will not be well-structured and may not keep the original meaning. In a contest held by a Korean university, Google Translate went up against a group of human translators. Google's translations only scored a 28 out of 60 possible points while the humans scored much better, with a high score of 49 out of 60.

Unlike a machine, when doing translation, a human translator must take into account the style of the source text: context, humor, irony, and idiomatic expressions. Missing the spirit and aesthetic(美学的)character of the source text is less excusable than a few errors in translation of words. Content that is targeted to a specific audience requires a more comprehensive understanding of the messaging. Unlike machines, humans understand when to be literal and when to paraphrase(意译)for their audience.

Machine translating technology is getting better day by day, but it has a long way to go before being perfect. It is likely that in the future human translators will work alongside machine translators and use the software produced translation as an aid or a guide, in order to produce their own translations. But only if we provide improvement.


Will Machine Translation     1    Human Translation?
    2    of human translationOnly a small number of people can have     3     to human translators.
Human are slower than machines in completing
Translation.
Human translation is       4    compared with machine translation.
Challenges facing machine translation
The languages that machine translators can translate are     5    .
Machine translation may not be     6     with the original meaning.
Human translators are better in preserving the     7     of the source text than machine translators.
Machine translators cannot     8     their translation to a   specific audience.
ConclusionMachine translators may     9     humans with   translation work , but humans need to     10     it up.
2017-11-25更新 | 116次组卷
阅读理解-阅读单选(约370词) | 适中 (0.65)
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文章大意:这是一篇说明文。文章主要说明了日本的研究人员创建了一个名为“预览现实(Previewed Reality)”的近未来感知系统,该系统允许人类用户预测未来环境的变化,然后为他们的决策提供信息并指导他们的行动。文章介绍了其工作过程以及特点。

【推荐2】When robots and humans interact in the same environment, it is important for them to move in techniques that monitor an environment, predict the future actions of humans, identify secure track for a robot and control its movements accordingly.

Predicting human behavior and movements, however, can be incredibly challenging. Determining the future movements of a robot, on the other hand, could be far easier. If human users could anticipate the movements of robots and the effects these will have on the surrounding environment, they should then be able to easily adapt their actions in order to avoid accidents.

With this in mind, researchers at Kyushu University in Japan recently created a near-future perception system named Previewed Reality that allows human users to forecast future changes in their environment, which could then inform their decisions and guide their actions. This system compiles (编译) a data-set containing information about the position of objects, humans and robots within the same environment, to then produce simulations (模拟) of events that could take place in the near future. These simulations are presented to human users via Virtual Reality (VR) or Augmented Reality (AR) headsets.

To collect information about the position of different objects, robots, and humans in the same environment, the researchers used a number of strategically placed sensors, including optical trackers that monitored the movements of objects or robots, and a RGB-D camera which mainly tracked human actions. The data gathered by the sensors was then fed to a motion planner and a dynamics simulator. Combining these two system components allowed the researchers to forecast changes in a given environment and synthesize (合成) images of events that are likely to occur in the near future, from the viewpoint of a specific human. Human users could then view these synthesized images simply through a VR headset or an AR display.

“This system provides human-friendly communication between a human and a robotic system.” the researchers explained. In their next studies, they plan to expand and simplify the perception system, for instance by creating a lighter and more affordable version that can operate on smart phones or other portable devices.

1. Why did the researchers develop the system?
A.To predict future changes in human behavior.
B.To record developments in the field of robotics.
C.To enhance safety of human-robot interactions.
D.To make good use of virtual reality technology.
2. What is special about Previewed Reality?
A.It simulates near-future events via VR headsets.
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C.Make the system accessible on portable devices.
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【推荐3】For most of the traditional restaurants, it is challenging to deal with the increasing number of customers. But for Li Xianghui’s restaurants, things are different. Owning four restaurants, Li bought a number of cooking machines, which can operate tirelessly day and night. Packed in kits, all dishes are semi-finished(半加工的) and can be served within minutes after they are put into the machines.

“Automation (自动化) is the future for the restaurant business. It can avoid pressure from human costs in running a traditional restaurant and increase efficiency,” Li says. “There is a standardized process(过程) by the machines, which can make sure of the same taste of each order.”

The cooking machine can make about 2,000 recipes(食谱), according to Li. Once seated, customers scan a QR code(二维码) and use an app to make their meal selection and pay. With the only waiter putting the semi-finished food kit into the machine, the meal will be served in minutes. What’s more, the robot “cook” has attracted an increasing number of customers since the restaurant’s opening. Many customers say the taste is good and the price is not expensive.

Researchers from the University of Cambridge have trained their robot “cook” to make a judgement about the saltiness of a dish at different stages of the chewing (咀嚼) process, like a similar process in humans, according to their research published in the journal Frontiers in Robotics and AI.

Their results could be useful in the development of automated or semi-automated food preparation by helping robots to learn what tastes good and what doesn’t, making them better “cooks”. “If robots are to be used for certain aspects of food preparation, it’s important that they are able to ‘taste’ what they’re cooking,” said Grzegorz Sochacki, the paper’s first author.

1. Why does Li say “Automation is the future for the restaurant business”?
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