Questões Militares
Sobre interpretação de texto | reading comprehension em inglês
Foram encontradas 2.315 questões
Readthe text below and mark the correct option.
Inland cargo ship ran aground, damaged, may break in two, Western Scheldt
Inland cargo ship MVS SOWNENT loaded with soil ran aground at around 1750 UTC April 14 on Western Scheldt near Baalhoek, Netherlands, while sailing downstream. The ship suffered serious damages, hull is breached, understood to get cracks, but there's no immediate danger of breaking. She was refloated and taken below grounding site, to be offloaded and after that, towed to Hansweert.
(Adapted from https://www.fleetmon.com/services/vesselrisk-rating/)
It is possible to infer from the excerpt that
How facial recognition technology aids police
Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.
One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.
Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.
[…]
As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.
With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.
By Bethan Davies, Andrew Dawson, Martin Innes
(Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)
How facial recognition technology aids police
Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.
One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.
Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.
[…]
As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.
With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.
By Bethan Davies, Andrew Dawson, Martin Innes
(Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)
( ) In relation to AFR, ethical and legal implications are being brought up. ( ) There is enough data to prove that AFR is efficient in street policing.
( ) AFR performance may be affected by changes in light and motion.
The statements are, respectively,
( ) We always go home by bus or by car, never by foot. ( ) The tourists will leave in August 23. ( ) He came home on Sunday afternoon. ( ) She saw him on the end of the line.
How facial recognition technology aids police
Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.
One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.
Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.
[…]
As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.
With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.
By Bethan Davies, Andrew Dawson, Martin Innes
(Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)
How facial recognition technology aids police
Police officers’ ability to recognize and locate individuals with a history of committing crime is vital to their work. In fact, it is so important that officers believe possessing it is fundamental to the craft of effective street policing, crime prevention and investigation. However, with the total police workforce falling by almost 20 percent since 2010 and recorded crime rising, police forces are turning to new technological solutions to help enhance their capability and capacity to monitor and track individuals about whom they have concerns.
One such technology is Automated Facial Recognition (known as AFR). This works by analyzing key facial features, generating a mathematical representation of them, and then comparing them against known faces in a database, to determine possible matches. While a number of UK and international police forces have been enthusiastically exploring the potential of AFR, some groups have spoken about its legal and ethical status. They are concerned that the technology significantly extends the reach and depth of surveillance by the state.
Until now, however, there has been no robust evidence about what AFR systems can and cannot deliver for policing. Although AFR has become increasingly familiar to the public through its use at airports to help manage passport checks, the environment in such settings is quite controlled. Applying similar procedures to street policing is far more complex. Individuals on the street will be moving and may not look directly towards the camera. Levels of lighting change, too, and the system will have to cope with the vagaries of the British weather.
[…]
As with all innovative policing technologies there are important legal and ethical concerns and issues that still need to be considered. But in order for these to be meaningfully debated and assessed by citizens, regulators and law-makers, we need a detailed understanding of precisely what the technology can realistically accomplish. Sound evidence, rather than references to science fiction technology --- as seen in films such as Minority Report --- is essential.
With this in mind, one of our conclusions is that in terms of describing how AFR is being applied in policing currently, it is more accurate to think of it as “assisted facial recognition,” as opposed to a fully automated system. Unlike border control functions -- where the facial recognition is more of an automated system -- when supporting street policing, the algorithm is not deciding whether there is a match between a person and what is stored in the database. Rather, the system makes suggestions to a police operator about possible similarities. It is then down to the operator to confirm or refute them.
By Bethan Davies, Andrew Dawson, Martin Innes
(Source: https://gcn.com/articles/2018/11/30/facial-recognitionpolicing.aspx, accessed May 30th, 2020)
( ) In relation to AFR, ethical and legal implications are being brought up. ( ) There is enough data to prove that AFR is efficient in street policing. ( ) AFR performance may be affected by changes in light and motion.
The statements are, respectively,
In the sentence above, those who are supposed to swallow the pill are the ones below:
The implicit message concerning the donation is the following:
The text Masterpieces rejected by art critics discusses how people deal with novelty, as well as the text Abrir-se ao novo.
Regarding novelty, the two texts have the following aspect in common:
TEXT II
The most decorated firefighter in FDNY history
By Xavier Jackson
From the 1970s through the 1990s, there were thousands of fires raging across New York City. And all those fires had one thing in common: they were likely to have faced the likes of Jack Pritchard, the most decorated firefighter in New York City history.
From the beginning, Pritchard had proven himself a worthy member of the team, although his commanding officer was reportedly getting worried about his “near suicidal” tendencies when battling fires. For example, he found himself at the fire of a three-story building with a mentally-challenged child trapped on the third floor. He quickly charged in without oxygen and found the child, before he realized he was trapped. Left with no other exit — and by this point actually on fire himself — Pritchard smothered the child, and leaped to the first floor where he was doused with water and shipped off to the burn ward with the boy.
Pritchard’s next large inferno would be several years later, when he found himself rescuing fellow firefighters from a fire at Waldbaum’s Supermarket in Brooklyn. It was a fire he didn’t even have to go to, since his shift had actually already ended. But that wasn’t going to stop him.
It didn’t take long for him to distinguish himself again. On March 27, 1992, Engine 255 arrived at a fire to find an injured firefighter being pulled from the building after unsuccessfully attempting to rescue a 70-year-old man. Impatient and realizing he didn’t have to wait for orders as he was already in charge, Pritchard charged into the inferno, safety equipment be damned. He found the man, on fire, in his bed. Not hesitating, Pritchard extinguished the flames himself and dragged him out of the building.
He spent the next two months recovering from his burns in the hospital.
Then in July of 1998, Engine 255 pulled up to a fire where Jack Pritchard would perform the most famous heroics of his career. After learning there was an infant trapped in a crib on the fourth floor, Pritchard entered his Supermanmode and fearlessly leaped into the building to locate the baby.
After taking flames directly to his unprotected face, Pritchard located the baby, still alive. Unfortunately, flames were leaping above the crib, preventing him from lifting the baby to safety. Using his un-gloved hands — because safety was a word that still didn’t exist in his vocabulary — Pritchard grabbed the melting crib and began dragging it out of the room. Breathing carbon monoxide and severely burning his hand the whole way, Pritchard dragged the crib to his fellow firefighters where they assisted in rescuing the infant. For this he was awarded his second Bennett medal — the first was for the Walbaum’s fire — the highest award possible in the FDNY.
He finally retired from the department in 1999 with the rank of Battalion Chief, ending his career by simply stating “It’s been a real honor to be a firefighter.”
Available at: <https://www.firerescue1.com/fdny/
articles/the-most-decorated-firefighter-in-fdny-history-
jed6X9Qw0PqRnEbF/>. Accessed on: August 13, 2020
(Adapted).
Conheça nossos planos