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Michael Sokolski (September 25, 1926 – June 13, 2012) was a Polish-born American design engineer.Sokolski was the inventor [1] of the Scantron OMR scanner, used to scan and grade forms on which students mark answers to academic multiple choice test questions.
In 1983, Westinghouse Learning Corporation was acquired by National Computer Systems (NCS). In 2000, NCS was acquired by Pearson Education, where the OMR technology formed the core of Pearson's Data Management group. In February 2008, M&F Worldwide purchased the Data Management group from Pearson; the group is now part of the Scantron brand. [16]
To analyze those answers, the machines use OMR- and image-based data collection software. In addition to its forms and scanners, Scantron provides web- and desktop-based assessment software, such as Performance Series. [2] Scantron Technology Solutions provides managed technology support for IT endpoints and devices.
The StockXpert website in 2009. Until 2009, stock.xchng operated alongside its sister site, Stockxpert.Stockxpert was designed with a near-identical user interface, but functioned as a commercial microstock photography site, allowing users, through a system of online credits, to purchase and download images for a very low cost, often as low as US$1.
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Precision takes all retrieved documents into account. It can also be evaluated considering only the topmost results returned by the system using Precision@k. Note that the meaning and usage of "precision" in the field of information retrieval differs from the definition of accuracy and precision within other branches of science and statistics.
The scanner's processor interprets the results from the sensors, creates a tally for each candidate, and usually stores the image for later review. The ballot is sometimes immediately interpreted at polling stations allowing for voters to be notified by the voting system of voting errors such as an overvote and some types of spoilt votes .
Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. The similarity used for search criteria could be meta tags, color distribution in images, region/shape attributes ...