Satya Nadella Microsoft CEO, held a conference about the Intelligent Future, during the Mobile World ... [ ] Congress, on February 25, 2019 in Barcelona, Spain and also shared his company's vision of IoT. These and many other insights are from Microsoft's IoT Signals Report, Edition 2, published on October 2nd. IoT Signals is published annually to provide Microsoft partners, customers and business leaders the insights and market intelligence they need to develop and launch IoT strategies. This year, Microsoft commissioned the Hypothesis Group, an insights, design and strategy agency to execute the IoT Signals Edition 2 research. More than 3,000 IoT decision-makers in enterprise organizations across the US, UK, Germany, France, China and Japan currently involved in IoT were interviewed.
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You can improve the Wi-Fi signal in your home with foil, researchers have found. The reflective material can successfully direct wireless signals to where you need them most, and away from any areas where you don't want a connection to be available. However, in order to maximise its impact, you'll need to analyse the layout of your home first. The researchers, from Dartmouth College, University of Washington, Columbia University and UC Irvine, built a reflector made of plastic covered with "a thin layer of metal", and tested it by placing it around a variety of routers. It managed to increase signal strength by 6dB in the areas where a boost was needed, and decrease signal strength by up to 10dB in areas where a connection wasn't required or wanted.
While signal estimation under random amplitudes, phase shifts, and additive noise is studied frequently, the problem of estimating a deterministic signal under random time-warpings has been relatively unexplored. We present a novel framework for estimating the unknown signal that utilizes the action of the warping group to form an equivalence relation between signals. First, we derive an estimator for the equivalence class of the unknown signal using the notion of Karcher mean on the quotient space of equivalence classes. This step requires the use of Fisher-Rao Riemannian metric and a square-root representation of signals to enable computations of distances and means under this metric. Then, we define a notion of the center of a class and show that the center of the estimated class is a consistent estimator of the underlying unknown signal.
TL;DR: Keep every room in your house connected with the Meshforce M3s Whole Home WiFi System for just $159.99 as of Sept. 24. Want to know a secret? You aren't obligated to use the router your internet service provider gave you. In fact, you can often get a more powerful signal if you swap it out -- especially if you live in a large or old home with multiple dead zones. If you want to make sure every corner of your home has a reliable and secure WiFi signal, the Meshforce M3s Whole Home WiFi System is a great bet.