ENTRIES TAGGED "Industrial Internet"

Hot Swap Devices and Increase Arduino Interface Options with I2C

Don't be afraid of the bus

After a short period of time, beginners working with the Arduino development boards often find themselves wanting to work with a greater range of input or sensor devices—such as real-time clocks, temperature sensors, or digital potentiometers.

However each of these can often require connection by one of the two digital data buses, known as SPI and I2C. After searching around the Internet, inexperienced users may become confused about the bus type and how to send and receive data with them, then give up.

This is a shame as such interfaces are quite simple to use and can be easily understood with the right explanation. For example let’s consider the I2C bus. It’s a simple serial data link that allows a master device (such as the Arduino) to communicate with one or more slave devices (such as port expanders, temperature sensors, EEPROMs, real-time clocks, and more).
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The end of integrated systems

The programmable world will increasingly rely on machine-learning techniques that can interact with human interfaces

I always travel with a pair of binoculars and, to the puzzlement of my fellow airline passengers, spend part of every flight gazing through them at whatever happens to be below us: Midwestern towns, Pennsylvania strip mines, rural railroads that stretch across the Nevada desert. Over the last 175 years or so, industrialized America has been molded into a collection of human patterns–not just organic New England villages in haphazard layouts, but also the Colorado farm settlements surveyed in strict grids. A close look at the rectangular shapes below reveals minor variations, though. Every jog that a street takes is a testament to some compromise between mankind and our environment that results in a deviation from mathematical perfection. The world, and our interaction with it, can’t conform strictly to top-down ideals.

We’re about to enter a new era in which computers will interact aggressively with our physical environment. Part of the challenge in building the programmable world will be finding ways to make it interact gracefully with the world as it exists today. In what you might call the virtual Internet, human information has been squeezed into the formulations of computer scientists: rigid relational databases, glyphs drawn from UTF-8, information addressed through the Domain Name System. To participate in it, we converse in the language and structures of computers. The physical Internet will need to understand much more flexibly the vagaries of human behavior and the conventions of the built environment.
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Interactive map: bike movements in New York City and Washington, D.C.

The cities appear to breathe as bicycles move into office districts in the morning and out in the evening.

From midnight to 7:30 A.M., New York is uncharacteristically quiet, its Citi Bikes — the city’s new shared bicycles — largely stationary and clustered in residential neighborhoods. Then things begin to move: commuters check out the bikes en masse in residential areas across Manhattan and, over the next two hours, relocate them to Midtown, the Flatiron district, SoHo, and Wall Street. There they remain concentrated, mostly used for local trips, until they start to move back outward around 5 P.M.

Washington, D.C.’s bike-share program exhibits a similar pattern, though, as you’d expect, the movement starts a little earlier in the morning. On my animated map, both cities look like they’re breathing — inhaling and then exhaling once over the course of 12 hours or so.

The map below shows availability at bike stations in New York City and the Washington, D.C. area across the course of the day. Read more…

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Radar podcast: the Internet of Things, PRISM, and defense technology that goes civilian

A strange ad from a defense contractor leads us to talk about technology transfer, and Edward Snowden chooses an unnecessarily inflammatory refuge.

On this week’s podcast, Jim Stogdill, Roger Magoulas and I talk about things that have been on our minds lately: the NSA’s surveillance programs, what defense contractors will do with their technology as defense budgets dry up, and a Californian who isn’t doing what you think he’s doing with hydroponics.

The odd ad in The Economist that caught Jon's attention, from Dassault Systemes.

The odd ad in The Economist that caught Jon’s attention, from Dassault Systemes. Does this suggest that contractors, contemplating years of American and European austerity, are looking for ways to market defense technologies to the civilian world?

Because we’re friendly Web stewards, we provide links to the more obscure things that we talk about in our podcasts. Here they are.

If you enjoyed this podcast, be sure to subscribe on iTunes, on SoundCloud, or directly through our podcast RSS feed.

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Burning the silos

The boundaries created by traditional management are just getting in the way of reducing product cycle times.

If I’ve seen any theme come up repeatedly over the past year, it’s getting product cycle times down. It’s not the sexiest or most interesting theme, but it’s everywhere: if it’s not on the front burner, it’s always simmering in the background.

Cutting product cycles to the bare minimum is one of the main themes of the Velocity Conference and the DevOps movement, where integration between developers and operations, along with practices like continuous deployment, allows web-native companies like Yahoo! to release upgrades to their web products many times a day. It’s no secret that many traditional enterprises are looking at this model, trying to determine what they can use or implement. Indeed, this is central to their long-term survival; companies as different from Facebook as GE and Ford are learning that they will need to become as agile and nimble as their web-native counterparts.

Integrating development and operations isn’t the only way to shorten product cycles. In his talk at Google IO, Braden Kowitz talked about shortening the design cycle: rather than build big, complete products that take a lot of time and money, start with something very simple and test it, then iterate quickly. This approach lets you generate and test lots of ideas, but be quick to throw away the ones that aren’t working. Rather than designing an Edsel, just to fail when the product is released, the shorter cycles that come from integrating product design with product development let you build iteratively, getting immediate feedback on what works and what doesn’t. To work like this, you need to break down the silos that separate engineers and designers; you need to integrate designers into the product team as early as possible, rather than at the last minute. Read more…

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Where will software and hardware meet?

Software is adding more and more value to machines. Could it completely commoditize them?

I’m a sucker for a good plant tour, and I had a really good one last week when Jim Stogdill and I visited K. Venkatesh Prasad at Ford Motor in Dearborn, Mich. I gave a seminar and we talked at length about Ford’s OpenXC program and its approach to building software platforms.

The highlight of the visit was seeing the scale of Ford’s operation, and particularly the scale of its research and development organization. Prasad’s building is a half-mile into Ford’s vast research and engineering campus. It’s an endless grid of wet labs like you’d see at a university: test tubes and robots all over the place; separate labs for adhesives, textiles, vibration dampening; machines for evaluating what’s in reach for different-sized people.

Prasad explained that much of the R&D that goes into a car is conducted at suppliers–Ford might ask its steel supplier to come up with a lighter, stronger alloy, for instance–but Ford is responsible for integrative research: figuring out how to, say, bond its foam insulation onto that new alloy.

In our more fevered moments, we on the software side of things tend to foresee every problem being reduced to a generic software problem, solvable with brute-force computing and standard machinery. In that interpretation, a theoretical Google car operating system–one that would drive the car and provide Web-based services to passengers–could commoditize the mechanical aspects of the automobile. Read more…

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Four Short Links: 7 May 2013

Four Short Links: 7 May 2013

Raspberry Pi MITM, Industrial Robot SDK, Cheap Mill, and Open Source State Replication in Go

  1. Raspberry Pi Wireless Attack ToolkitA collection of pre-configured or automatically-configured tools that automate and ease the process of creating robust Man-in-the-middle attacks. The toolkit allows your to easily select between several attack modes and is specifically designed to be easily extendable with custom payloads, tools, and attacks. The cornerstone of this project is the ability to inject Browser Exploitation Framework Hooks into a web browser without any warnings, alarms, or alerts to the user. We accomplish this objective mainly through wireless attacks, but also have a limpet mine mode with ettercap and a few other tricks.
  2. Industrial Robot with SDK For Researchers (IEEE Spectrum) — $22,000 industrial robot with 7 degrees-of-freedom arms, integrated cameras, sonar, and torque sensors on every joint. [...] The Baxter research version is still running a core software system that is proprietary, not open. But on top of that the company built the SDK layer, based on ROS (Robot Operation System), and this layer is open source. In addition, there are also some libraries of low level tasks (such as joint control and positioning) that Rethink made open.
  3. OtherMill (Kickstarter) — An easy to use, affordable, computer controlled mill. Take all your DIY projects further with custom circuits and precision machining. (via Mike Loukides)
  4. go-raft (GitHub) — open source implementation of the Raft distributed consensus protocol, in Go. (via Ian Davis)
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Strata Week: The power of the Internet, wielded by machines and things

Jon Bruner's industrial Internet report; IBM, Belkin, and the Internet of Things; cars as software platforms; and coding is the job of the future.

Soon, everything will be an Internet platform

Ben Schiller at Fast Company took a look this week at a recent report by Jon Bruner on the industrial Internet. “According to Jon Bruner [the industrial Internet] is ‘machines becoming nodes on pervasive networks that use open protocols,'” writes Schiller. “And, to many others, it is as a big a deal as the Internet itself: essentially completing a job that’s only half-finished with web sites, email, Twitter, and so on.”

Shiller pulls some highlights from Bruner’s report, especially noting how the industrial Internet will effect various industries, such as energy, health care, and transport. Read more…

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Four short links: 1 April 2013

Four short links: 1 April 2013

Machine Learning Demos, iOS Debugging, Industrial Internet, and Deanonymity

  1. MLDemosan open-source visualization tool for machine learning algorithms created to help studying and understanding how several algorithms function and how their parameters affect and modify the results in problems of classification, regression, clustering, dimensionality reduction, dynamical systems and reward maximization. (via Mark Alen)
  2. kiln (GitHub) — open source extensible on-device debugging framework for iOS apps.
  3. Industrial Internet — the O’Reilly report on the industrial Internet of things is out. Prasad suggests an illustration: for every car with a rain sensor today, there are more than 10 that don’t have one. Instead of an optical sensor that turns on windshield wipers when it sees water, imagine the human in the car as a sensor — probably somewhat more discerning than the optical sensor in knowing what wiper setting is appropriate. A car could broadcast its wiper setting, along with its location, to the cloud. “Now you’ve got what you might call a rain API — two machines talking, mediated by a human being,” says Prasad. It could alert other cars to the presence of rain, perhaps switching on headlights automatically or changing the assumptions that nearby cars make about road traction.
  4. Unique in the Crowd: The Privacy Bounds of Human Mobility (PDF, Nature) — We study fifteen months of human mobility data for one and a half million individuals and find that human mobility traces are highly unique. In fact, in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier’s antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals. We coarsen the data spatially and temporally to find a formula for the uniqueness of human mobility traces given their resolution and the available outside information. This formula shows that the uniqueness of mobility traces decays approximately as the 1/10 power of their resolution. Hence, even coarse datasets provide little anonymity. These findings represent fundamental constraints to an individual’s privacy and have important implications for the design of frameworks and institutions dedicated to protect the privacy of individuals. As Edd observed, “You are a unique snowflake, after all.” (via Alasdair Allan)
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The coming of the industrial internet

Our new research report outlines our vision for the coming-together of software and big machines.

The big machines that define modern life — cars, airplanes, furnaces, and so forth — have become exquisitely efficient, safe, and responsive over the last century through constant mechanical refinement. But mechanical refinement has its limits, and there are enormous improvements to be wrung out of the way that big machines are operated: an efficient furnace is still wasteful if it heats a building that no one is using; a safe car is still dangerous in the hands of a bad driver.

It is this challenge that the industrial internet promises to address by layering smart software on top of machines. The last few years have seen enormous advances in software and computing that can handle gushing streams of data and build nuanced models of complex systems. These have been used effectively in advertising and web commerce, where data is easy to gather and control is easy to exert, and marketers have rejoiced.

Thanks to widespread sensors, pervasive networks, and standardized interfaces, similar software can interact with the physical world — harvesting data, analyzing it in context, and making adjustments in real-time. The same data-driven approach that gives us dynamic pricing on Amazon and customized recommendations on Foursquare has already started to make wind turbines more efficient and thermostats more responsive. It may soon obviate humans as drivers and help blast furnaces anticipate changes in electricity prices. Read more…

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