Showing posts with label satellites. Show all posts
Showing posts with label satellites. Show all posts
Thursday, June 25, 2020
Sky-based Networks Aid Earth-bound Travel and National Security
For centuries, wise men and ship captains have relied on stars to guide their way. When China's Long March 3B Rocket launched a final satellite from the Xichang Satellite Center on June 23, 2021, the completed BeiDou Navigation Satellite System (BDS) became a new network in the artificial skies mentioned in an earlier post. Besides serving China, the BDS is expected to court customers along China's Belt and Road Initiative project throughout Asia and Africa.
Earlier, the European Union had allowed China to use its Galileo network of navigational satellites even though China was not an EU member. Once China learned what it could about a satellite system, it went off on its own. A short time later, the UK announced, on July 3, 2020, it would join with Bharti Global, India's mobile network operator, to fund a $1 billion purchase of the bankrupt OneWeb startup that had invested $3.4 billion in its satellite project. With satellites manufactured in Florida, Arianespace had helped launch 74 satellites out of a planned 650 for OneWeb. As of November, 2020, the government of the UK and India's Bharti Global own OneWeb, including its 74 satellites already in space. A Russian Soyuz rocket is scheduled to launch another 36 onconnect nearly all of the Earth's land and sea surfaces. December 17, 2020. Bharti Global's 425 million customers in India demonstrate the commercial and operational expertise that company brings to OneWeb's ultimate connection with nearly all of the Earth's land and sea surfaces.
Nowadays, satellite constellation networks represent more than aids for travel, navigation, port traffic, sea rescues and precision timing, they offer broadband internet communication across the world, and they are an essential national security asset.
Wednesday, February 12, 2020
Artificial Skies
Look up on a clear night and you might see the moon, stars, an airplane, a Pentagon observation balloon, police drone, one of Elon Musk's Starlink communication satellites, or a Loon balloon from Google's Alphabet fleet that can provide wireless internet access to rural and remote areas.
Shortly after a Starlink rocket launch, a satellite is almost as bright as the North Star, a magnitude 2. When it reaches its orbiting height 342 miles above Earth, unless sunlight hits just the right angle, the satellite dims to magnitude 5 to 7. Beginning three to four hours after sunset in a summer, satellites can be visible to the naked eye all night.
With U.S. Federal Communications Commission (FCC) approval, Musk's SpaceX program is in the process of launching 12,000 satellites in a Starlink network designed to facilitate high-speed, global broadband internet access. Sometime in June, 2020, a SpaceX Falcon 9 rocket is expected to launch the eighth batch of satellites, about 60 more, for the broadband network. His artificial satellite constellation raises concerns about space safety and the impact on ground-based telescopes exploring deep space.
At different heights above Earth, the orbits of satellites pose different problems. At about 300 miles or less, atmospheric drag downs and vaporizes satellites. Starlink system satellites designed to orbit 700 miles above Earth are too high for a quick and disintegrating re-entry. If satellites carry fuel, working ones can be maneuvered back to higher levels, and high-level ones that no longer work can be lowered and subjected to disintegration. Of course, the presence of fuel in a satellite increases the chance of an explosion.
Whether working or out-of-service, at any level above Earth satellites can collide and break apart into "space junk." Fragments of debris go into their own separate orbits ready to cause additional collisions and, therefore, even more space junk. That is what happened when the Chinese sent a missile to hit a satellite no longer in use. Resulting shrapnel fanned out into numerous orbits of space junk. Potentially, damaged debris could necessitate avoiding whole regions of space.
Besides the danger of collisions, bright satellites that compete with the stars are a problem for astronomers who have been exploring deep space for centuries. Since photographing objects light years away can require exposing an image for hours, satellites orbiting the Earth already spoil the view. Those who use radio telescopes to study the universe expect interference from satellite transmissions that use frequencies close to the radio waves from distant objects.
Loon's internet balloons fly at 10 to 15 miles above Earth. With five to 10 balloons, Loon is especially useful in providing temporary service to an area in need of communication after a disaster. Service is now provided in Puerto Rico, Peru's rainforest, and Kenya.
Problems associated with space, including satellites, balloons, spacecrafts, and military applications, are expected to worsen. In addition to the approximately 5000 satellites already orbiting Earth and 12,000 launched by SpaceX, the OneWeb company plans to add 650 and Amazon's broadband project would deploy 3200. Along with the satellites powering the U.S. GPS, other navigation systems: Russia's GLONASS, China's BeiDou, the EU's Galileo and OneWeb, now owned by the UK and India's Bharti Global, also have launched satellites. Unless atmospheric drag is allowed to remove space junk and satellites no longer in use, the likelihood of collisions and interference with deep space research will increase unchecked.
At present, no international agreements govern the safe use of space, observes Dr. Lisa Ruth Rand, a research associate at the Smithsonian's National Air and Space Museum and post doctoral fellow at the University of Wisconsin. To date, the use of space seems to rely on the ambitions of Elon Musk, individual countries and companies, and aliens exploring new frontiers. Urgent international negotiations are needed, at least by Earthlings.
Shortly after a Starlink rocket launch, a satellite is almost as bright as the North Star, a magnitude 2. When it reaches its orbiting height 342 miles above Earth, unless sunlight hits just the right angle, the satellite dims to magnitude 5 to 7. Beginning three to four hours after sunset in a summer, satellites can be visible to the naked eye all night.
With U.S. Federal Communications Commission (FCC) approval, Musk's SpaceX program is in the process of launching 12,000 satellites in a Starlink network designed to facilitate high-speed, global broadband internet access. Sometime in June, 2020, a SpaceX Falcon 9 rocket is expected to launch the eighth batch of satellites, about 60 more, for the broadband network. His artificial satellite constellation raises concerns about space safety and the impact on ground-based telescopes exploring deep space.
At different heights above Earth, the orbits of satellites pose different problems. At about 300 miles or less, atmospheric drag downs and vaporizes satellites. Starlink system satellites designed to orbit 700 miles above Earth are too high for a quick and disintegrating re-entry. If satellites carry fuel, working ones can be maneuvered back to higher levels, and high-level ones that no longer work can be lowered and subjected to disintegration. Of course, the presence of fuel in a satellite increases the chance of an explosion.
Whether working or out-of-service, at any level above Earth satellites can collide and break apart into "space junk." Fragments of debris go into their own separate orbits ready to cause additional collisions and, therefore, even more space junk. That is what happened when the Chinese sent a missile to hit a satellite no longer in use. Resulting shrapnel fanned out into numerous orbits of space junk. Potentially, damaged debris could necessitate avoiding whole regions of space.
Besides the danger of collisions, bright satellites that compete with the stars are a problem for astronomers who have been exploring deep space for centuries. Since photographing objects light years away can require exposing an image for hours, satellites orbiting the Earth already spoil the view. Those who use radio telescopes to study the universe expect interference from satellite transmissions that use frequencies close to the radio waves from distant objects.
Loon's internet balloons fly at 10 to 15 miles above Earth. With five to 10 balloons, Loon is especially useful in providing temporary service to an area in need of communication after a disaster. Service is now provided in Puerto Rico, Peru's rainforest, and Kenya.
Problems associated with space, including satellites, balloons, spacecrafts, and military applications, are expected to worsen. In addition to the approximately 5000 satellites already orbiting Earth and 12,000 launched by SpaceX, the OneWeb company plans to add 650 and Amazon's broadband project would deploy 3200. Along with the satellites powering the U.S. GPS, other navigation systems: Russia's GLONASS, China's BeiDou, the EU's Galileo and OneWeb, now owned by the UK and India's Bharti Global, also have launched satellites. Unless atmospheric drag is allowed to remove space junk and satellites no longer in use, the likelihood of collisions and interference with deep space research will increase unchecked.
At present, no international agreements govern the safe use of space, observes Dr. Lisa Ruth Rand, a research associate at the Smithsonian's National Air and Space Museum and post doctoral fellow at the University of Wisconsin. To date, the use of space seems to rely on the ambitions of Elon Musk, individual countries and companies, and aliens exploring new frontiers. Urgent international negotiations are needed, at least by Earthlings.
Sunday, June 25, 2017
Blind Trust in AI Is a Mistake
For better or worse, combining algorithms with images collected by drones, satellites, and video feeds from other monitors enhances aerial intelligence in a variety of fields.
Overhead movie and TV shots already provide a different perspective, just as viewing the Earth or a rocket launch from a space craft or satellite does. These new perspectives offer advantages besides entertainment value and a chance to study the dwindling ice cap at the North Pole.
Seen from above, data about landscapes has various applications. The famous Texas Gulf Sulphur Company case involving insider trading began with aerial geophysical surveys in eastern Canada. When pilots in planes scanning the ground saw the needles in their instruments going wild, they could pinpoint the possible location of electrically conductive sulphide deposits containing zinc and copper along with sulphur.
When Argentina invaded Britain's Falkland Islands in April, 1982, it's been reported the only map the defenders possessed showed perfect picnic spots. Planes took to the air to locate the landing spot that enabled British troops to declare victory at Port Stanley in June, 1982.
Nowadays, the aim is to write algorithms that look for certain activities among millions of images. A robber can program an algorithm to tell a drone's camera to identify where delivery trucks leave packages. An algorithm can call attention to a large group of people and cars arriving at a North Korean missile testing site. Then, an analyst can figure out why, because, to date, artificial intelligence (AI) does not explain how and why it reaches a conclusion.
Since artificial intelligence's algorithms operate in their own "black boxes," humans are unable to evaluate the process used to arrive at conclusions. Humans cannot replicate AI processes independently. And if an algorithm makes a mistake, AI provides no clues to the reasoning that went astray.
In other words, robots without supervision can take actions based on conclusions dictated by faulty algorithms. An early attempt to treat patients based on a "machine model" provides a good example. Doctors treating pneumonia patients who also have asthma admit them to the hospital immediately, but the machine readout said to send them home. The "machine" saw pneumonia/asthma patients in the hospital recovered quickly and decided they had no reason to be admitted in the first place. The "machine" did not have the information that their rapid recovery occurred, because they were admitted to the hospital's intensive care unit.
Google's top artificial intelligence expert, John Giannandrea, speaking at a conference on the relationship between humans and AI, emphasized the effect of bias in algorithms. Not only does it affect the news and ads social media allows us to see, but he also echoed the idea that AI bias can determine the kind of medical treatment a person receives and, based on AI's predictions about the likelihood of a convict committing future offenses, it can affect a judge's decision regarding parole.
Joy Buolamwini's Algorithmic Justice League found facial-analysis software was prone to making mistakes recognizing the female gender, especially of darker-skinned women. AI is developed by and often tested primarily on light-skinned men, but recognition technology, for example, is promoted for hiring, policing, and military applications involving diverse populations. Since facial recognition screening fails to provide clear identifications of some populations, it also has the potential to be used to identify non-white suspects and to discriminate against hiring non-white employees.
When humans know they are dealing with imperfect information, whether they are playing poker, treating cancer, choosing a stock, catching a criminal, or waging war, how can they have confidence in authorizing and repeating a "black box" solution that requires blind trust? Who would take moral and legal responsibility for a mistake. The human who authorized action based on AI, wrote the algorithm, or determined the data base the algorithm used to determine its conclusion? And then there is the question of the moral and legal responsibility for a robot that malfunctions while it is carrying out the "right" conclusion.
Research is trying to determine what elements are necessary to help AI reach the best conclusions. Statistics can't always be trusted. Numbers that show terrorists are Muslims or repeat criminals are African Americans do nothing to suggest how an individual Muslim or African American should be screened or treated. AI research is further complicated by findings that also suggest the mind/intellect and will that control moral values and actions are separate from the physical brain that controls other human activities and diseases such as epilepsy and Parkinson's.
Automated solutions require new safeguards: to defend against hacking that alters information, to eliminate bias, to verify accuracy by checking multiple sources, and to determine accountability and responsibility for actions.
Overhead movie and TV shots already provide a different perspective, just as viewing the Earth or a rocket launch from a space craft or satellite does. These new perspectives offer advantages besides entertainment value and a chance to study the dwindling ice cap at the North Pole.
Seen from above, data about landscapes has various applications. The famous Texas Gulf Sulphur Company case involving insider trading began with aerial geophysical surveys in eastern Canada. When pilots in planes scanning the ground saw the needles in their instruments going wild, they could pinpoint the possible location of electrically conductive sulphide deposits containing zinc and copper along with sulphur.
When Argentina invaded Britain's Falkland Islands in April, 1982, it's been reported the only map the defenders possessed showed perfect picnic spots. Planes took to the air to locate the landing spot that enabled British troops to declare victory at Port Stanley in June, 1982.
Nowadays, the aim is to write algorithms that look for certain activities among millions of images. A robber can program an algorithm to tell a drone's camera to identify where delivery trucks leave packages. An algorithm can call attention to a large group of people and cars arriving at a North Korean missile testing site. Then, an analyst can figure out why, because, to date, artificial intelligence (AI) does not explain how and why it reaches a conclusion.
Since artificial intelligence's algorithms operate in their own "black boxes," humans are unable to evaluate the process used to arrive at conclusions. Humans cannot replicate AI processes independently. And if an algorithm makes a mistake, AI provides no clues to the reasoning that went astray.
In other words, robots without supervision can take actions based on conclusions dictated by faulty algorithms. An early attempt to treat patients based on a "machine model" provides a good example. Doctors treating pneumonia patients who also have asthma admit them to the hospital immediately, but the machine readout said to send them home. The "machine" saw pneumonia/asthma patients in the hospital recovered quickly and decided they had no reason to be admitted in the first place. The "machine" did not have the information that their rapid recovery occurred, because they were admitted to the hospital's intensive care unit.
Google's top artificial intelligence expert, John Giannandrea, speaking at a conference on the relationship between humans and AI, emphasized the effect of bias in algorithms. Not only does it affect the news and ads social media allows us to see, but he also echoed the idea that AI bias can determine the kind of medical treatment a person receives and, based on AI's predictions about the likelihood of a convict committing future offenses, it can affect a judge's decision regarding parole.
Joy Buolamwini's Algorithmic Justice League found facial-analysis software was prone to making mistakes recognizing the female gender, especially of darker-skinned women. AI is developed by and often tested primarily on light-skinned men, but recognition technology, for example, is promoted for hiring, policing, and military applications involving diverse populations. Since facial recognition screening fails to provide clear identifications of some populations, it also has the potential to be used to identify non-white suspects and to discriminate against hiring non-white employees.
When humans know they are dealing with imperfect information, whether they are playing poker, treating cancer, choosing a stock, catching a criminal, or waging war, how can they have confidence in authorizing and repeating a "black box" solution that requires blind trust? Who would take moral and legal responsibility for a mistake. The human who authorized action based on AI, wrote the algorithm, or determined the data base the algorithm used to determine its conclusion? And then there is the question of the moral and legal responsibility for a robot that malfunctions while it is carrying out the "right" conclusion.
Research is trying to determine what elements are necessary to help AI reach the best conclusions. Statistics can't always be trusted. Numbers that show terrorists are Muslims or repeat criminals are African Americans do nothing to suggest how an individual Muslim or African American should be screened or treated. AI research is further complicated by findings that also suggest the mind/intellect and will that control moral values and actions are separate from the physical brain that controls other human activities and diseases such as epilepsy and Parkinson's.
Automated solutions require new safeguards: to defend against hacking that alters information, to eliminate bias, to verify accuracy by checking multiple sources, and to determine accountability and responsibility for actions.
Wednesday, October 5, 2016
Space Newcomers
Joining India's mission to Mars, that has been sending back data since September, 2014, are eight satellites, three built in Algeria, that India launched into different orbits on September 26, 2016.
Nigeria has launched five satellites into orbit and plans to send an astronaut into space by 2030.
From French Guiana on September 14, 2016, Peru launched a French-built satellite to monitor weather and internal security.
Brazil is assembling its sixth satellite to be launched on a Chinese rocket by December, 2018.
Nigeria has launched five satellites into orbit and plans to send an astronaut into space by 2030.
From French Guiana on September 14, 2016, Peru launched a French-built satellite to monitor weather and internal security.
Brazil is assembling its sixth satellite to be launched on a Chinese rocket by December, 2018.
(For earlier news about space activity, see the post, "Space Explorers.")
Thursday, February 19, 2015
Robots for Good
Where can techies around the world go to collaborate with other techies? One creative space is Wevolver.com, the web platform where co-founder, Richard Hulskes, offers open-source hardware technology and a way for people with project ideas to collaborate and build physical, tangible products at home. Pascal Jaussi, an engineer and Swiss Air Force military pilot, had a similar idea to make space accessible. His Swiss Space Systems in Payerne, canton Vaud, assembles existing components and uses proven technologies from the United States, Russia, Europe, and Asia to create sub-orbital reusable aircraft that can put commercial satellites into orbit.
The forces that have come together in Hulskes' "Robots for Good" project illustrate just how powerful technological collaboration can be.
One project provides an example. By combining:
One team in London is using the 3D printer to assemble an InMoov robot and Open Wheels segway that can move. Another in the U.S. is working on software. Kids will drive the robot with a remote control. And, wearing an oculus rift, they will be able to move the robot's head by moving their heads and to see through the robot's eyes.
Remote controlled drones also are being designed to fly over wildfires to relay information about sources of water in ponds and wells and escape routes to firefighters on the ground. According to National Geographic Kids (May, 2015), roboticist Thomas Bewley at the University of California at San Diego is already developing a drone like this. Only a little larger than a postage stamp, his drone requires less energy than it takes to power a lightbulb.
(Also see related ideas in earlier blog posts, "Play, Computer Connections, and Pets Come to the Aid of Sick Kids," "I Made This Myself," "Transform Spaces into Creative Places," and "Robot Revolution.")
The forces that have come together in Hulskes' "Robots for Good" project illustrate just how powerful technological collaboration can be.
One project provides an example. By combining:
- an Ultimaker 3D printer
- the head and torso of the humanoid InMoov 3D printable robot
- the free, downloadable blueprint and materials for an Open Wheels segway
- Samsung's head-mounted, virtual display oculus rift
- software
- children working with Ultimaker personnel at MakerMovement spaces in London
- seriously ill children at London's Great Ormond Street Hospital
One team in London is using the 3D printer to assemble an InMoov robot and Open Wheels segway that can move. Another in the U.S. is working on software. Kids will drive the robot with a remote control. And, wearing an oculus rift, they will be able to move the robot's head by moving their heads and to see through the robot's eyes.
Remote controlled drones also are being designed to fly over wildfires to relay information about sources of water in ponds and wells and escape routes to firefighters on the ground. According to National Geographic Kids (May, 2015), roboticist Thomas Bewley at the University of California at San Diego is already developing a drone like this. Only a little larger than a postage stamp, his drone requires less energy than it takes to power a lightbulb.
(Also see related ideas in earlier blog posts, "Play, Computer Connections, and Pets Come to the Aid of Sick Kids," "I Made This Myself," "Transform Spaces into Creative Places," and "Robot Revolution.")
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