learning: yankin' out an engine

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learn along with me as I pull an engine out of a 1963 Studebaker Lark Wagon. More can be found at www.greasegirl.wordpress.com

by Grease Girl www.greasegirl.wordpress.com

Hundreds of large color differences, of magnitude 20 DeltaE00, were generated and used in a visual sorting experiment. The process of generating these color differences and two specific experiments are described in detail. The results show that small color difference metrics, such as DeltaE00, do not consistently model the visually sorted differences for large differences. A new similarity measure, based on a cosine similarity between categorical vectors of colors, is described and used to more consistently model large color differences. This similarity metric can be used to better characterize large color errors during reproduction, for image processing operations such as segmentation or as a feature for content retrieval. The new measure can also be applied to visual phenomena, such as categorical perception, in which within category color differences are perceived as smaller than across category differences.

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In the past few years we have been experiencing an amazing proliferation of mobile and embedded platforms. Contemporary developers are increasingly faced with the challenge of writing applications that can run on desktop, mobile (e.g. Android), and on low-cost embedded platforms (e.g. Raspberry-Pi and Beaglebone). This is causing a rejuvenated interest in the Java platform as the mean to achieve the holy grail of write-once and run-everywhere. With the availability of Java environments supporting almost any kind of device in several different form factors, the missing element to the picture is an effective way of enabling communication between them. Vortex Café is a pure Java implementation of the OMG Data Distribution Service (DDS) that enables seamless, efficient and timely data sharing across many-core machines, mobile and embedded devices. This presentation will (1) introduce the main abstractions provided by Vortex Café, (2) provide an overview of its architecture and explain how it exploits Staged Event Driven Architectures to optimize its runtime depending of the target hardware, (3) provide an overview of the typical performance delivered by Vortex Café, and (3) get you started developing distributed Java and Scala applications with Vortex Café.

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Distributed Systems can be thought of as a collection of computations evolving a distributed state in response to stimuli. These stimuli can be events triggered by certain states or by external entities, such as physical entities like sensors, operators, etc. The Data Distribution Service (DDS) provides first-class support for representing distributed states as well as asynchronous event distribution. Recently, OpenSplice DDS has added a new feature that simplifies synchronous interactions by means of a Remote Method Invocation (RMI) infrastructure implemented directly over DDS. In this presentation we will first explain the difference between state, events and commands and how these concepts can be used to structure distributed systems. Then we will show the key idioms for implementing distributed state, events and commands with OpenSplice DDS.

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