infodump

1. 2019-12-23 at 6:04 PM UTC

   #1
   

   Kuntzschutz African Astronaut
   p00p
   
   https://www.sciencedaily.com/releases/2017/09/170925133000.htm
   
   
   http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.7516&rep=rep1&type=pdf
   
   

   "Logging-in and logging-out are tedious," he said.
   
   The signal strength of the system's radar "is much less than Wi-Fi," and therefore does not pose any health threat, Xu said.
   
   "We are living in a Wi-Fi surrounding environment every day, and the new system is as safe as those Wi-Fi devices," he said. "The reader is about 5 milliwatts, even less than 1 percent of the radiation from our smartphones."
   
   The system needs about 8 seconds to scan a heart the first time, and thereafter the monitor can continuously recognize that heart.
   
   The system, which was three years in the making, uses the geometry of the heart, its shape and size, and how it moves to make an identification. "No two people with identical hearts have ever been found," Xu said. And people's hearts do not change shape, unless they suffer from serious heart disease, he said.
   
   Heart-based biometrics systems have been used for almost a decade, primarily with electrodes measuring electrocardiogram signals, "but no one has done a non-contact remote device to characterize our hearts' geometry traits for identification," he said.
   
   The new system has several advantages over current biometric tools, like fingerprints and retinal scans, Xu said. First, it is a passive, non-contact device, so users are not bothered with authenticating themselves whenever they log-in. And second, it monitors users constantly. This means the computer will not operate if a different person is in front of it. Therefore, people do not have to remember to log-off when away from their computers.

   
   

   Microwave Doppler radar can be used for non-contact, through-clothing measurementof chest wall motion, from which heart and respiration signatures and rates can be derivedin real-time. A heart and respiration rate monitor has been developed based on this princi-ple and the radio electronics have been integrated on a single CMOS chip, makinginexpensive mass-production and miniaturization of the system possible.

   
   https://www.sciencedaily.com/releases/1997/09/970929051444.htm
   

   "The signal from the RADAR flashlight will penetrate clothes and detect respiration through a heavy jacket," Greneker explained. "In fact, the RADAR flashlight requires a body movement of only a few millimeters to detect human presence."

   
   
   

   In September 2013, the United States Department of Homeland Security's Science and Technology Directorate demonstrated a prototype of the FINDER radar technology device, which it developed in conjunction with NASA's Jet Propulsion Laboratory.[6] FINDER uses microwave radar to detect the unique signature of a human's breathing pattern and heartbeat, through 20 feet of solid concrete, 30 feet of a crushed mixture of concrete and rebar, and 100 feet of open space.[7] In September 2014, the DHS promoted the technology to SWAT teams at the Urban Shield trade show.

   
   

   "Just by knowing how people breathe and how their hearts beat in different emotional states, we can look at a random person's heartbeat and reliably detect their emotions," says Zhao. For the experiments, subjects used videos or music to recall a series of memories that each evoked one the four emotions, as well as a no-emotion baseline. Trained just on those five sets of two-minute videos, EQ-Radio could then accurately classify the person's behavior among the four emotions 87 percent of the time.

   
   

   The problem of classifying road vehicles according
   to vehicle type is considered. The proposed solution is based on
   using vehicle height and length and height profiles obtained by a
   microwave (MW) radar sensor. We show that if the radar sensor
   satisfies certain requirements, then a precise feature vector can be
   extracted, and simple deterministic algorithms can be applied to
   determine the vehicle class. Field trials using a spread-spectrum
   MW radar sensor system operating on these principles have been
   carried out. They confirm that accurate classification of a large
   number of vehicle classes can be reached

2. 2019-12-23 at 6:05 PM UTC

   #2
   

   Jiggaboo_Johnson Black Hole
   Banana skins (don't put them down the waste disposal unless you want to block it, too fibrous)