Learn which devices appear in your Apple ID device list, how to see your device's details, and how to remove a device, if necessary. Use your Mac to see where you're signed in From the Devices section of your Apple ID account page, you can see the devices that. If you choose to sync only some items, new items you add to the OneDrive folder on your Mac will sync to OneDrive, but items you add to OneDrive from the website or other devices won't be synced to your Mac unless they're in the folders you chose to sync.
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Knowing which room you’re in enables various IoT applications — from turning on the light to changing TV channels. So, how can we detect the moment you and your phone are in the kitchen, or bedroom, or living room? With today’s commodity hardware, there are a myriad of possibilities: One solution is to equip each room with a bluetooth device. Once your phone is within range of a bluetooth device, your phone will know which room it is, based on the bluetooth device. However, maintaining an array of Bluetooth devices is significant overhead — from replacing batteries to replacing dysfunctional devices.
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Additionally, proximity to the Bluetooth device is not always the answer: if you’re in the living room, by the wall shared with the kitchen, your kitchen appliances should not start churning out food. Another, albeit impractical, solution is to use GPS. However, keep in mind hat GPS works poorly indoors in which the multitude of walls, other signals, and other obstacles wreak havoc on GPS’s precision. Our approach instead is to leverage all in-range WiFi networks — even the ones your phone is not connected to. Here is how: consider the strength of WiFi A in the kitchen; say it is 5. Since there is a wall between the kitchen and the bedroom, we can reasonably expect the strength of WiFi A in the bedroom to differ; say it is 2. We can exploit this difference to predict which room we’re in.
Retrieved 2016-07-20. /alfred-offers-battastic-productivity-for-mac/. • Barnes, Eric L. • Heath, Alex (December 4, 2011).. • Turnbull, Giles (March 2, 2010)..
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What’s more: WiFi network B from our neighbor can only be detected from the living room but is effectively invisible from the kitchen. That makes prediction even easier. In sum, the list of all in-range WiFi gives us plentiful information. This method has the distinct advantages of: • not requiring more hardware; • relying on more stable signals like WiFi; • working well where other techniques such as GPS are weak. The more walls the better, as the more disparate the WiFi network strengths, the easier the rooms are to classify. You will build a simple desktop app that collects data, learns from the data, and predicts which room you’re in at any given time. Further Reading on SmashingMag: • • • • Prerequisites For this tutorial, you will need a Mac OSX.
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Whereas the code can apply to any platform, we will only provide dependency installation instructions for Mac. Macbeth story board on flowvella. • Mac OSX • Homebrew, a package manager for Mac OSX. To install, copy-and-paste the command at • Installation of NodeJS 10.8.0+ and npm • Installation of Python 3.6+ and pip. See the first 3 sections of.