Text 1

Which of the following is most likely to be bugged

A:International telephone calls. B:International printed messages. C:Domestic printed messages. D:Electric typewriters.

It’s a modern problem: you’re too busy to be disturbed by incessant (连续不断的) phone calls so you turn your cellphone off. But if you don’t remember to turn it back on when you’re less busy, you could miss some important calls. If only the phone knew when it was wise to interrupt you, you wouldn’t have to turn it off at all. Instead, it could let calls through when you are not too busy.
A bunch of behavior sensors (传感器) and a clever piece of software could do just that, by analyzing your behavior to determine if it’s a good time to interrupt you. If built into a phone, the system may decide you’re too busy and ask the caller to leave a message or ring back later.
James Fogarty and Scott Hudson at Camegie Mellon University in Pennsylvania based their system on tiny microphones, cameras and touch sensors that reveal body language and activity. First they had to study different behaviors to find out which ones strongly predict whether your mind is interrupted.
The potential "busyness" signals they focused on included whether the office doors were left open or closed, the time of day, if other people were with the person in question, how close they were to each other, and whether or not the computer was in use.
The sensors monitored these and many other factors while four subjects were at work. At random intervals, the subjects rated how interruptible they were on a scale ranging from "highly interruptible" to "highly not-interruptible". Their ratings were then correlated with the various behaviors. "It is a shotgun (随意的) approach, we used all the indicators we could think of and then let statistics find out which were important," says Hudson.
The model showed that using the keyboard, and talking on a landline or to someone else in the office correlated most strongly with how interruptible the subjects judged themselves to be.
Interestingly, the computer was actually better than people at predicting when someone was too busy to be interrupted. The computer got it right 82 percent of the time, humans 77 percent. Fogarty speculates that this might be because people doing the interrupting are inevitably biased towards delivering their message, whereas computers don’t care.
The first application for Hudson and Fogarty’s system is likely to be in an instant messaging system, followed by office phones and cellphones. "There is no technological roadblock (障碍) to it being deployed in a couple of years," says Hudson.
A．big problem facing people today is that

A:they must tolerate phone disturbances or miss important calls. B:they must turn off their phones to keep their homes quiet. C:they have to switch from a desktop phone to a cellphone. D:they are too busy to make phone calls.

A Phone That Knows You’re Busy

It’s a modern problem: You’re too busy to be disturbed by incessant (连续不断的) phone calls so you turn your cellphone off. But if you don’t remember to turn it back on when you’re less busy, you could miss some important calls. If only the phone knew when it was wise to interrupt you, you wouldn’t have to turn it off at all. Instead, it could let calls through when you are not too busy.
A bunch of behavior sensors (传感器) and a clever piece of software could do just that, by analyzing your behavior to determine if it’s a good time to interrupt you. If built into a phone, the system may decide you’re too busy and ask the caller to leave a message or ring back later.
James Fogarty and Scott Hudson at Camegie Mellon University in Pennsylvania based their system on tiny microphones, cameras and touch sensors that reveal body language and activity. First they had to study different behaviors to find out which ones strongly predict whether your mind is interrupted.
The potential "busyness" signals they focused on included whether the office doors were left open or closed, the time of day, if other people were with the person in question, how close they were to each other, and whether or not the computer was in use.
The sensors monitored these and many other factors while four subjects were at work. At random intervals, the subjects rated how interruptible they were on a scale ranging from "highly interruptible" to "highly not-interruptible". Their ratings were then correlated with the various behaviors. "It is a shotgun (随意的) approach: we used all the indicators we could think of and then let statistics find out which were important," says Hudson.
The model showed that using the keyboard, and talking on a landline or to someone else in the office correlated most strongly with how interruptible the subjects judged themselves to be.
Interestingly, the computer was actually better than people at predicting when someone was too busy to be interrupted. The computer got it right 82 per cent of the time, humans 77 per cent. Fogarty speculates that this might be because people doing the interrupting are inevitably biased towards delivering their message, whereas computers don’t care.
The first application for Hudson and Fogarty’s system is likely to be in an instant messaging system, followed by office phones and cellphones. "There is no technological roadblock (障碍) to it being deployed in a couple of years," says Hudson.

A big problem facing people today is that（　）

A:they must tolerate phone disturbances or miss important calls. B:they must turn off their phones to keep their homes quiet. C:they have to switch from a desktop phone to a cellphone. D:they are too busy to make phone calls.

The latest figures on superfast broadband delivered by fibre to the home(FTTH) shows 18% growth over the last survey compiled in late 2008. The continued growth suggests that the global economic downturn has not hit plans to build a fibre infrastructure. Sweden tops the list of nations rolling out the technology, with 10.9% of its broadband customers using fibre.
Karel Helsen, president of Europe’s Fibre-To-The-Home Council, said the growth matched predictions that were revised when the credit crunch started to make itself felt. By 2012, the FISH Council expects that 13 million people across 35 European nations will have their broadband delivered by fibre. Such services would start at speeds of 100 megabits per second(mbps), said Mr. Helsen.
Around Europe more than 233 projects were underway to lay the fibre that would connect homes or buildings to the net, said Mr. Helsen. Many of those, he said, were being operated by local governments or smaller net firms. They were interested in FTTH because of the economic and social benefits it brought, said Mr. Helsen. The low delay in data transfer in high-speed fibre networks made possible novel uses of broadband, he said.
"No delay is very important," he said," specifically if you talk about applications that are time dependent such as personal communications, conference calls or video calls where delays cause a lot of interference. "While early FTTH services were concentrated in cities, said Mr. Helsen, many more were reaching out to rural areas for e—health and e—learning projects.
Separate studies show that all FTTH infrastructure carl have a direct impact on local economic output, said Mr. Helsen. The UK, France and Germany have yet to break into the list of top ten FTTH nations.
Which one is NOT mentioned as the applications specially dependent on time

A:Personal communications. B:Conference calls C:Videe calls D:Calculating

It’s a modem problem: you’re too busy to be disturbed by incessant (连续不断的) phone calls so you turn your cellphone off. But if you don’t remember to turn it back on when you’re less busy, you could miss some important calls if only the phone knew when it was wise to interrupt you, you wouldn’t have to turn it off at all. Instead, it could let calls through when you are not too busy.
A bunch of behavior sensors and a clever piece of software could do just that, by analyzing your behavior to determine if it’s a good time to interrupt you. If built into a phone, the system may decide you’re too busy and ask the caller to leave a message or ring back later.
James Fogarty and Scott Hudson at Carnegie Mellon University in Pennsylvania based their system oil tiny microphones, cameras and touch sensors that reveal body language and activity. First they had to study different behaviors to find out which ones strongly predict whether your mind is interrupted.
The potential "busyness" signals they focused on included whether the office doors were left open or closed, the time of day, if other people were with the person in question, how close they were to each other, and whether or not the computer was in use.
The sensors monitored these and many other factors while four subjects were at work. At random intervals, the subjects rated how interruptible they were on a scale ranging from "highly interruptible" to "highly not-interruptible". Their ratings were then correlated with the various behaviors. "It is a shotgun (随意的) approach: we used all the indicators we could think of and then let statistics find out which were important," says Hudson.
The model showed that using the keyboard, and talking on a landline or to someone else in the office correlated most strongly with how interruptible the subjects judged themselves to be.
Interestingly, the computer was actually better than people at predicting when someone was too busy to be interrupted. The computer got it right 82 percent of the time, humans 77 percent. Fogarty speculates that this might be because people doing the interrupting are inevitably biased towards delivering their message, whereas computers don’t care.
The first application for Hudson and Fogarty’s system is likely to be in an instant messaging system, followed by office phones and cell phones. "There is no technological roadblock (障碍) to it being deployed in a couple of years, " says Hudson.
A big problem facing people today is that______.

A:they must tolerate phone disturbances or miss important calls B:they must turn off their phones to keep their homes quiet C:they have to switch from a desktop phone to a cell phone D:they are too busy to make phone calls

{{B}}第三篇{{/B}}

What is the modem conundrum the author has in mind?

A:You turn off your cell phone but forget to turn it back and miss important calls. B:You are too busy to make phone calls and miss important information. C:Too many calls are annoying, affecting your work efficiency. D:Too many calls are disturbing, producing serious noise pollution.

{{B}}第二篇{{/B}}

A big problem facing people today is that

A:they must tolerate phone disturbances or miss important calls. B:they must turn off their phones to keep their homes quiet. C:they have to switch from a desktop phone to a cellphone. D:they are too busy to make phone calls.

第二篇 A Phone That Knows You’re Busy It’s a modern problem：you’re too busy to be disturbed by incessant(连续不断的)phone calls so you turn your cellphone off .But if you don’t remember to turn it back on when you’re less busy．you could miss some important calls if only the phone knew when it was wise to interrupt you，you wouldn’t have to turn it off at all. Instead，it could let calls through when you are not too busy A bunch of behavior sensors(传感器)and a clever piece of software could do just that，by analyzing your behavior to determine if it’s a good time to interrupt you．If built into a phone，the system may decide you’re too busy and ask the caller to leave a message or ring back later． James Fogarty and Scott Hudson at Camegie Mellon University in Pennsylvania based their system oil tiny microphones，cameras and touch sensors that reveal body language and activity．First they had to study different behaviors to find out which ones stongly predict whether your mind is interrupted The potential“busyness”signals they focused on included whether the office doors were left open or closed，the time of day，if other people were with the person in question，how close they were to each other, and whether or not the computer was in use． The sensors monitored these and many other factors while four subjects were at work . At random intervals，the subjects rated how interruptible they were on a scale ranging from“highly interruptible’’to“highly not—interruptible” . Their ratings were then correlated with the various behaviors . “It is a shotgun(随意的)approach：we used all the indicators we could think of and then let statistics find out which were important，” says Hudson The model showed that using the keyboard，and talking on a landline or to someone else in the office correlated most strongly with how interruptible the subjects judged themselves to be． Interestingly，the computer was actually better than people at predicting when someone was too busy to be interrupted . The computer got it right 82 per cent of the time，humans 77 per cent．Fogarty speculates that this might be because people doing the interrupting are inevitably biased towards delivering their message，whereas computers don’t care． The first application for Hudson and Fogarty’s system is likely to be in an instant messaging system，followed by office phones and cellphones．“There is no technological roadblock(障碍) to it being deployed in a couple of years，” says Hudson A big problem facing people today is that

A:they must tolerate phone disturbances or miss important calls． B:they must turn off their phones to keep their homes quiet． C:they have to switch from a desktop phone to a cellphone． D:they are too busy to make phone calls．

第二篇 A Phone That Knows You’re Busy It’s a modern problem：you’re too busy to be disturbed by incessant(连续不断的)phone calls so you turn your cellphone off .But if you don’t remember to turn it back on when you’re less busy．you could miss some important calls if only the phone knew when it was wise to interrupt you，you wouldn’t have to turn it off at all. Instead，it could let calls through when you are not too busy A bunch of behavior sensors(传感器)and a clever piece of software could do just that，by analyzing your behavior to determine if it’s a good time to interrupt you．If built into a phone，the system may decide you’re too busy and ask the caller to leave a message or ring back later． James Fogarty and Scott Hudson at Camegie Mellon University in Pennsylvania based their system oil tiny microphones，cameras and touch sensors that reveal body language and activity．First they had to study different behaviors to find out which ones stongly predict whether your mind is interrupted The potential“busyness”signals they focused on included whether the office doors were left open or closed，the time of day，if other people were with the person in question，how close they were to each other, and whether or not the computer was in use． The sensors monitored these and many other factors while four subjects were at work . At random intervals，the subjects rated how interruptible they were on a scale ranging from“highly interruptible’’to“highly not—interruptible” . Their ratings were then correlated with the various behaviors . “It is a shotgun(随意的)approach：we used all the indicators we could think of and then let statistics find out which were important，” says Hudson The model showed that using the keyboard，and talking on a landline or to someone else in the office correlated most strongly with how interruptible the subjects judged themselves to be． Interestingly，the computer was actually better than people at predicting when someone was too busy to be interrupted . The computer got it right 82 per cent of the time，humans 77 per cent．Fogarty speculates that this might be because people doing the interrupting are inevitably biased towards delivering their message，whereas computers don’t care． The first application for Hudson and Fogarty’s system is likely to be in an instant messaging system，followed by office phones and cellphones．“There is no technological roadblock(障碍) to it being deployed in a couple of years，” says Hudson The behavior sensor and software system built in a phone

A:could help store messages． B:could send messages instantly C:could tell when it is wise to interrupt you． D:could identify important phone calls．

The latest figures on superfast broadband delivered by fibre to the home (FTFH) shows 18% growth over the last survey compiled in late 2008.
The continued growth suggests that the global economic downturn has not hit plans to build a fibre infrastructure.
Sweden tops the list of nations roiling out the technology, with 10.9% of its broadband customers using fibre.
Karel Helsen, president of Europe’s Fibre -To- The- Home Council, said the growth matched predictions that were revised when the credit crunch started to make itself felt.
By 2012. the FTTH Council expects that 13 million people across 35 European nations will have their broadband delivered by fibre. Such services would start at speeds of 100 megabits per second (mbps) , said Mr. Helsen.
Around Europe more than 233 projects were underway to lay the fibre that would connect homes or buildings to the net, said Mr. Helsen. Many of those, he said, were being operated by local governments or smaller net firms.
They were interested in FTTH because of the economic and social benefits it brought, said Mr. Helsen.
The low delay in data transfer in high - speed fibre networks made possible novel uses of broadband ,he said.
"No delay is very important," he said," specifically if you talk about applications that are time dependent such as personal communications, conference calls or video calls where delays cause a lot of interference. "
While early FTTH services were concentrated in cities, said Mr Helsen, many more were reaching out to rural areas for e - health and e - learning projects.
Separate studies show that an FTTH infrastructure can have a direct impact on local economic output, said Mr Helsen.
The UK, France and Germany have yet to break into the list of top ten FTTH nations.
Which one is NOT mentioned as the applications specially dependent on time

A:Personal communications B:Conference calls C:Video calls D:Calculating