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M I y5 + c f 1 ( y5 - y4 ) + k f ( y5 - y4 ) = 0 1 M f y4 - c f 1 ( y5 - y4 ) + c f y4 + kvc ( y4 - y3 ) - k f ( y5 - y4 ) = 0 2 1 M fc y3 + c f y3 + krb ( y3 - y2 ) - kvc ( y4 - y3 ) + Fp + krs y3 = 0 2 Mr y2 - krb ( y3 - y2 ) - Fn cos a = 0 Mc y1 + cvs y1 + kvs y1 + Fn cos a = 0 along the x-axis M fc x3 - krb ( x2 - x3 ) + khc x3 = 0 Mr x2 + krb ( x2 - x3 ) + Fn sin a = 0 Mc x1 + chs x1 + khs x1 - Fn sin a = 0 For torsional movement of the drive shaft (see Fig 1226) (1229)

Reduce the average bug-fixing time (the time from bug opened to bug closed).

InnoVentry set out to use facial recognition to help improve the check cashing process for the non-banked, or the estimated 37 million Americans who do not have an account with a financial institution The non-banked must rely on commercial check-cashing services, which can be expensive and inconvenient In

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A system with good tests and coverage will usually allow you to fix things more quickly (assuming the tests are written in a maintainable manner). That, in turn, means better turnaround times, and release cycles that are less stressful. In his book Code Complete (Microsoft Press), Steve McConnell outlines several metrics you can use to test progress. They include the following, among others:

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FIGURE 1224 Residual amplitude of acceleration versus T with F as varying parameter undamped (cycloidal cam)

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1998, InnoVentry embarked on a strategy featuring unsupervised ATM kiosks, known as Rapid Payment Machines (RPM) that used facial recognition technology to identify customers InnoVentry sought to reduce fraud, which has long plagued the check-cashing industry Dr Joseph Atick, whose company, then known as Visionics, provided the FaceIt facial recognition technology, claimed in an interview with Bank Technology News that The fraud rates with our check-cashing clients are down to half a percent because of the facial recognition biometrics InnoVentry s major participants included Wells Fargo & Co, Cash America International Inc, and Diebold, a leading ATM maker Investors pumped over $250 million into the venture As an operational decision, InnoVentry located its RPM kiosks in high-traffic retail stores that offered a safe, well-lit environment with extended hours InnoVentry s RPMs could be found throughout the United States, including Ohio, Pennsylvania, Arizona, Arkansas, California, Colorado, Florida, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Nevada, North Carolina, Texas, and Wisconsin It had agreements with major retail chains including Circle K, Kroger, Wal-Mart, and Albertson s Race-Trac to install the ATMs in their premises (For more information, go to http://wwwbusiness-journalcom/LateNov00/ Dieboldcontracthtml) To enroll, a customer phoned a central call center using a telephone attached to the RPM The customer service representative then got personal information, along with the enrollee s social security number A camera in the RPM kiosk captured a digital photograph of the customer s face Facial recognition software then generated a biometric template from the photograph (For more information, go to http://wwwdssstatectus/digital/news24/bhsug24htm) To cash their checks and receive cash, customers inserted their checks into the RPM and followed the instructions on an interactive touch screen For authentication, a customer entered his or her social security number, and InnoVentry then verified the claimed identity by doing a one-to-one match comparing the facial image presented to the template on file for the customer On average, the transaction could be completed in less than three minutes At the height of its operation, InnoVentry had enrolled 25 million people, cashed 80 million checks, and installed 1,400 RPMs (for more, go to http://wwwbiometrics-today com/novdec01newshtml) Over $4 billion worth of checks had been cashed (for more, go to http://wwwbanktechnewscom/btn/articles/btnsep01-1shtml) Despite these impressive numbers, the business model failed InnoVentory shut down in the Fall of 2001 Simply put, the cost of running the machines could not be covered by the charges generated, set at a small percentage of the value of each cashed check More specifically, according to Ken Rees, the former InnoVentry chief operating officer, the cause of failure was the higher than expected failure rate of the technology in authenticating customers, which translated to lost revenue As reported by ATM & Debit News in February 2002, Rees said that at some locations, up to 30 percent of attempts to authenticate users of InnoVentry s RPMs failed; most locations had failure rates of about 5 percent.

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