7 resultados para Digital Identity
em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States
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The Attorney General’s Consumer Protection Division receives hundreds of calls and consumer complaints every year. Follow these tips to avoid unexpected expense and disappointments. This record is about: Prevent Identity Theft
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The Attorney General’s Consumer Protection Division receives hundreds of calls and consumer complaints every year. Follow these tips to avoid unexpected expense and disappointments. This record is about: Protect Yourself from "Identity Theft"
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The Attorney General’s Consumer Protection Division receives hundreds of calls and consumer complaints every year. Follow these tips to avoid unexpected expense and disappointments. This record is about: Prevent Identity Theft Take Control of Your Personal Information
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The Attorney General’s Consumer Protection Division receives hundreds of calls and consumer complaints every year. Follow these tips to avoid unexpected expense and disappointments. This record is about: Identity Theft & Medical Identity Theft Target Older Iowans
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Effective July 1, 2007, the Iowa Civil Rights Act (Iowa Code Chapter 216) was expanded to add sexual orientation and gender identity to the list of protected classes. It is now ILLEGAL in Iowa to discriminate against a person because of his/her sexual orientation or gender identity.
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The SHRP Modified Georgia Digital Faultmeter was loaned to the Iowa Department of Transportation in January 1993 for evaluation. A study was undertaken comparing the faultmeter to Iowa's current method of fault measurement. The following conclusions were made after comparing the faultmeter to Iowa's gauge: The faultmeter was lighter and easier to maneuver and position. The faultmeter's direct readout was quicker to read. The faultmeter has increased precision. The faultmeter gave consistently lower fault readings than the Iowa gauge.
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Commercially available instruments for road-side data collection take highly limited measurements, require extensive manual input, or are too expensive for widespread use. However, inexpensive computer vision techniques for digital video analysis can be applied to automate the monitoring of driver, vehicle, and pedestrian behaviors. These techniques can measure safety-related variables that cannot be easily measured using existing sensors. The use of these techniques will lead to an improved understanding of the decisions made by drivers at intersections. These automated techniques allow the collection of large amounts of safety-related data in a relatively short amount of time. There is a need to develop an easily deployable system to utilize these new techniques. This project implemented and tested a digital video analysis system for use at intersections. A prototype video recording system was developed for field deployment. A computer interface was implemented and served to simplify and automate the data analysis and the data review process. Driver behavior was measured at urban and rural non-signalized intersections. Recorded digital video was analyzed and used to test the system.