In 1990, I was working as multipurpose software sales, marketing, fill in engineer, for Synergy Computer Graphics. One of the most interesting things to happen, was the need to plot some very large cool chip plots for some cool chip companies. The internet had not taken off yet, so I received tapes from Intel, TI, etc.
Because I had a keen eye for color, and how fill patterns worked with overlap in color, I got the assignment. 20 plots in one week.
Why did this job go to Synergy Computer Graphics (later absorbed into Nippon Steel) ? Because at that time, they had a patent on single-pass four color plotting and the only device on earth that could do it. The device was large, but fast. All other devices did 4 colors in 4 long passes of the rolled up plotting paper. These sold for $125K at that time.
Ingenious use of hand shapes to recall the structure of formulas in Electrodynamics. The kernal of this wisdom is that the hand is one of the few “devices” that must be allowed in any testing situation for students. Yes, I know there is an iPhone app for each formula that plots in 3D, etc. But what if you had solve these equations after a ship wreck?
When I was a kid it took me a long time to learn this. So, I thought it would useful to put a link to it here. The transformations are from rectangular to polar, cylindrical and back in a useful structured approach.
This is a link to Dan Fleisch’s site for his book. He is an Associate Professor in the Department of Physics at Wittenberg University, where he specializes in electromagnetics and space physics. He is the author of A Student’s Guide to Maxwell’s Equations published by Cambridge University Press in 2008
Earth Shoes. “They are good for your posture and good for the earth”. How convenient is that? Finally some inventor did the right thing, designed a prosaic object such that both entities that came in contact with it benefited enormously [environmentalism]. And at that time there were no forums, no social media, no websites, no internet to “rise up and reveal the lie”.
On April 1, 1970, a new shoe shop opened its doors for business on East 17th Street in Manhattan. The owners, Raymond and Eleanor Jacobs, soon began to see throngs of hippies flocking by on their way to Union Square to celebrate the first ever Earth Day. In a flash of brilliance, the Jacobses wrote a sign advertising “Earth Shoes” and stuck it in the storefront window. What used to be plain footwear suddenly became a generational phenomenon; for the better part of the next decade, so-called Earth Shoes were a staple of the American environmentalist’s wardrobe.
The Earth Shoe phenomenon was not just a right-place, right-time aligning of the stars. It was the first—and perhaps the most successful—case of green-stamping. Now a well-established practiced, green-stamping involves marketing a product for its environmental benefits. Seems simple, yes? The problem lies in the discernment between true sustainability and fakery. The case study of the Earth Shoe can help shine a light on our own susceptibility to false green-stamping, and let us see clearly the consequences of being duped.
The manufacturing of Earth Shoes, as you can gather, had no connection whatsoever to the environmental ideals promoted by Earth Day. However, the podiatric craze was filtered through the underlying fabric of a broader social movement, and so it was accepted without much fuss. It survived for so long because of its unquestioned linguistic connection to early environmentalism (perpetuation by cultural contact high, if you will).
“Data has no inherent value. To be useful, data must flow to agents who will ultimately process, analyze, and synthesize it to produce information that drives decisions. The recent conversation in DoD has focused on what is referred to as the “big data problem,” that is, since we don’t know what’s important in the data being collected, everything must be saved. But this is much harder than it sounds.”
“Data is not important. It’s the information that can be gleaned from the data that matters. The old data paradigm emphasizes precision: save only what you consider to be relevant at the time the data is collected. This approach works only so long as you are dealing with a more or less static context where “relevance” can be readily established.”
Relevance is not an attribute. It’s a relationship, or a complex mapping that has sources, targets, and attribute values on the link. Consider this abstract function:
Relevance = F(source, content, context; me, my role, my situation, my company; the environment and set of competitors and space of potential actions).
Because of these considerations, you can see why relevance is elusive and non-comparable across markets, uses, and situations. THerefore aggregate sums and statistics on relevance are even more problematic.
If you sacrifice geographic accuracy, for connective symmetry, you get a different way of looking at highway maps in the USA. In fact, they make more sense, and you get faster decisions. Sure, in some cases you need local geographic accuracy (distance metric works at local scale), but sometimes you do not.