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Introduction Word length and phrase length influence the ease of reading and understanding of a given text. Short words are usually more common (Zipf's law). Short sentences require less abstraction ability to understand. The readability analysis could be useful to make a text better, augmenting its accessibility. Why have we developed this? The readability index tells us how easy a given text is to understand. A well-written text is effective, easy to understand and quick to read. This index helps us understand the text's complexity in order to better schedule the activities of translators and revisers. More than ever, written information, especially in the Internet, must be direct and well structured. This analysis can help achieve both goals.

HP has just unveiled an incredibly ambitious project to create a “Central Nervous System for the Earth” (CeNSE) composed of billions of super sensitive, cheap, and tough sensors. The project involves distributing these sensors throughout the world and using them to gather data that could be used to detect everything from infrastructure collapse to environmental pollutants to climate change and impending earthquakes. From there, the “Internet of Things” and smarter cities are right around the corner.HP is currently developing its first sensor to be deployed, which is an accelerometer 1,000 times more sensitive than those used in the Wii or the iPhone – it’s capable of detecting motion and vibrations as subtle as a heartbeat. The company also has plans to use nanomaterials to create chemical and biological sensors that are 100 million times more sensitive than current models. Their overall goal is to use advances in sensitivity and nanotech to shrink the size of these devices so that they are small enough to clip onto a mobile telephone.Once HP has created an array of sensors, the next step is distributing them and making sense of all the data they generate. That’s no easy task, granted that a network of one million sensors running 24 hours a day would create 20 petabytes of data in just six months. HP is taking all that number crunching to task however, and will be harnessing its in-house networking expertise, consulting, and data storage technologies for the project.The creation of a global sensor system would be an incredible breakthrough – it could make our cities more efficient, save lives, and enable us to better understand, track, and combat climate change. As HP Labs senior researcher Peter Hartwell has stated, “If we’re going to save the planet, we’ve got to monitor it“.+ CeNSEVia Fast CompanyLead photo by Margie Wylie Comments RSS Comments RSS digg_url = 'http://www.inhabitat.com/2010/02/18/hp-invents-a-central-nervous-system-for-the-earth/'; digg_title = 'HP Invents a Central Nervous System for the Earth'; digg_skin = 'compact'; email this tweetmeme_url = "http://www.inhabitat.com/2010/02/18/hp-invents-a-central-nervous-system-for-the-earth/"; tweetmeme_style = "compact"; facebook this Related Posts

Earlier we talked about how a single botnet could harness more compute power than our largest super computers. Well, that's just the start of it. The amount of computer power available to the Ambient Cloud will be truly astounding.

By 2014 one estimate is there will be 2 billion PCs. That's a giant reservoir of power to exploit, especially considering these new boxes are stuffed with multiple powerful processors and gigabytes of memory. 7 Billion Smartphones By now it's common wisdom smartphones are the computing platform of the future. It's plausible to assume the total number of mobile phones in use will roughly equal the number of people on earth. That's 7 billion smartphones. Smartphones aren't just tiny little wannabe computers anymore either. They are real computers and are getting more capable all the time.

One Google exec estimates that in 12 years an iPod will be able to store all the video ever produced.