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Making Sense of All That Data: IoT Finds Its Missing Link | Electronics360

Casual observers of the Internet of things likely think it’s all about automating appliances and entire homes, as well as devices like wearables that will supposedly make their lives better. But delve deeper into IoT and a different picture emerges: if this is all IoT had to offer, it wouldn’t be that big of a deal. In reality, the real revenue generating goldmines for the companies involved in making IoT happen are everything but consumer applications.Manufacturing, “smart” cities, medicine, agriculture, the energy industry, utilities and similarly large enterprises are the type of applications driving IoT. They are collectively greater in size than the combined total of projected consumer applications and IoT provides a solution for improving their performance in many ways. For these benefits to occur, the massive amounts of data generated by IoT devices must be highly analyzed and converted to a form from which people can derive significant benefits. It’s a monumental task, which is why cognitive computing, artificial intelligence and machine learning are essential.Although Microsoft, Amazon, and other companies provide capabilities to accomplish all or some of these functions, the best example is IBM, which has invested heavily in cognitive computing, created the first major AI platform (Watson) in which it has invested billions of dollars, and is expanding the range of applications it serves.

Source: Making Sense of All That Data: IoT Finds Its Missing Link | Electronics360

Watch This $100 Drone Try to Do a Bumblebee’s Job

Japanese tinkerers created a tiny, flower-pollinating drone for a world without insects.

Could there be anything gloomier to think about than a mechanical bee?

It’s a sad fact—bee populations are in decline in many parts of the world. While the reasons bees are in trouble aren’t yet well understood, the problem has some technologists investigating whether drones could fly flower-spreading pollen instead.

The latest effort comes from Japan, where investigators at the National Institute of Advanced Industrial Science, in Tsukuba, were looking for new uses for sticky substances called ionic liquid gels that have unusual physical properties.

To make their pollinator, the team purchased $100 drones from Amazon and then added patches of horsehair to their undersides. After painting on the gels, which are moist and are about as sticky as a Post-It note, the drones were ready to grab and release pollen grains.

As shown in the video above, the researchers flew the drones smack into the male and female parts of pink and white Japanese lilies. It’s the first time a drone has pollinated a flower, according to project leader Eijiro Miyako.

The invention is still no replacement for the bumblebee. According to Joe Traynor, a “bee broker” in California, the almond industry in that state alone requires 1.8 million hives—containing around 35 billion bees—to pollinate almost a million acres of almond trees that each year sprout some three trillion flowers.

“I don’t see any technology that could replace bees,” says Traynor.

Source: Watch This $100 Drone Try to Do a Bumblebee’s Job

X10 Basics

X10 is a protocol for communication among electronic devices used for home automation (domotics). It primarily uses power line wiring for signaling and control, where the signals involve brief radio frequency bursts representing digital information. A wireless radio based protocol transport is also defined.

X10 was developed in 1975 by Pico Electronics of Glenrothes, Scotland, in order to allow remote control of home devices and appliances. It was the first general purpose domotic network technology and remains the most widely available.

Although a number of higher bandwidth alternatives exist, X10 remains popular in the home environment with millions of units in use worldwide, and inexpensive availability of new components.

 

Protocol
Whether using power line or radio communications, packets transmitted using the X10 control protocol consist of a four bit house code followed by one or more four bit unit codes, finally followed by a four bit command. For the convenience of users configuring a system, the four bit house code is selected as a letter from A through P while the four bit unit code is a number 1 through 16.

When the system is installed, each controlled device is configured to respond to one of the 256 possible addresses (16 house codes × 16 unit codes); each device reacts to commands specifically addressed to it, or possibly to several broadcast commands.

The protocol may transmit a message that says “select code A3”, followed by “turn on”, which commands unit “A3” to turn on its device. Several units can be addressed before giving the command, allowing a command to affect several units simultaneously. For example, “select A3”, “select A15”, “select A4”, and finally, “turn on”, causes units A3, A4, and A15 to all turn on.

Note that there is no restriction that prevents using more than one house code within a single house. The “all lights on” command and “all units off” commands will only affect a single house code, so an installation using multiple house codes effectively has the devices divided into separate zones.

 

 

Source: X10 Basics

The Emergence of Facial Recognition Technology

The Emergence of Facial Recognition Technology

Facial recognition has an image problem. In 2014, a Denver man was arrested for robbing two banks on the basis of surveillance video stills shown to acquaintances and his ex-wife. The case was dismissed, but the man was rearrested a year later — this time based on FBI facial recognition technology.

The problem? The man who was arrested had a distinct mole on his face; the suspect in the image did not. Furthermore, a height analysis on the surveillance video found a 3-inch difference between the defendant and the suspect on camera. The case was dismissed a second time.

That’s not to say facial recognition is without its success stories. While the wrongful identification case may serve more as a cautionary tale than a mainstream occurrence in law enforcement’s use of facial recognition, the technology itself has had to contend with problems of bias and accuracy.

For instance, a 2012 study showed that face recognition systems are 5 – 10% less accurate when trying to identify African Americans as compared to white subjects. The study also found that female subjects were more difficult to recognize than males, and younger subjects were more difficult to identify than older adults.

Read More…

http://insights.globalspec.com/article/4017/the-emergence-of-facial-recognition-technology?id=-386028149&uh=cee4c9&email=HomeRunInstall%40gmail%2Ecom&md=170131&mh=f9a9ef&Vol=Vol17Issue7&Pub=1&LinkId=1842494&keyword=link_1842494&et_rid=1013656224&et_mid=83398597&frmtrk=newsletter&cid=nl

The Abandoned Cable Problem: State-of-the-Industry and Smart Solutions | Realcomm Advisory

The Abandoned Cable Problem: State-of-the-Industry and Smart Solutions Author: Realcomm Staff Writer The exponential growth in the amount of voice and data communications cabling presents challenges for airflow and space management in building risers and plenum spaces. The National Fire Protection Association (NFPA) has declared that excessive cabling is also a fire safety hazard that creates an unnecessary threat to life and further contributes to property damage in the event of a fire. This week we’ve a

Source: The Abandoned Cable Problem: State-of-the-Industry and Smart Solutions | Realcomm Advisory

The walls have ears: Warrant granted for Amazon Echo recordings — RT America

In fact, police seem to have already relied on his smart meter that measures electricity and water usage. Police found that on the night of the murder, Bates used roughly 140 gallons of water between 1:00am and 3:00am. Investigators believe that this could be a sign that he had used water to wash away evidence of what happened on his hot tub patio, Engadget reported.Regardless of what’s discovered on the Echo, the use of evidence gathered from smart devices has been controversial. Kimberly Weber, Bates’ a

Source: The walls have ears: Warrant granted for Amazon Echo recordings — RT America