Thursday, April 20, 2017

Networks in the news

Mayor Stephanie Miner and U of Chicago use network flow theory to spot leaks. The leaks will be part of a virtual channel and if the channel reconstructed, then the arrival frequencies of leaks will identify the cascade of weak points. The blue print of the pipe system is the smart layer, so you will match the cascade of leaks to the smart contract points and get 'fails to deliver', by position.  This is us,  we do this.
That’s when she turned to big data. To get to the bottom of the problem of catastrophic water main breaks, Syracuse first had to understand what was happening underground and where. Using an algorithm developed by a team at the University of Chicago, the city put reams of information, scattered among various departments, to work. With a predictive system that can point to the hotspots along its 550 miles of pipes, the city hopes to save millions of dollars a year by fixing mains before they break. For other cities dealing with the same whack-a-mole approach to infrastructure repair, a proactive approach could change everything.
Get these Chicago folks involved in pure cash. Their techniques sound great for forgery forensics and just plain good betting. 

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