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// Demonstrate a static class. using System; static class NumericFn { // Return the reciprocal of a value. static public double Reciprocal(double num) { return 1/num; } // Return the fractional part of a value. static public double FracPart(double num) { return num - (int) num; } // Return true if num is even. static public bool IsEven(double num) { return (num % 2) == 0 true : false; } // Return true if num is odd. static public bool IsOdd(double num) { return !IsEven(num); } } class StaticClassDemo { static void Main() { Console.WriteLine("Reciprocal of 5 is " + NumericFn.Reciprocal(5.0)); Console.WriteLine("Fractional part of 4.234 is " + NumericFn.FracPart(4.234)); if(NumericFn.IsEven(10)) Console.WriteLine("10 is even."); if(NumericFn.IsOdd(5)) Console.WriteLine("5 is odd."); // The following attempt to create an instance of // NumericFn will cause an error.
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Frequency and amplitude markers Analog CRT display or LCD display Choice of sweep speeds in zero-span mode (10 for full span) TV sync trigger Fast Fourier transform (FFT) circuit on detected output FM demodulator Television picture and sound on CRT or LCD display Negative peak detection
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cout << "Double array: "; for(i=0; i<15; i++) doubleob[i] = (double) i/3; for(i=0; i<15; i++) cout << doubleob[i] << " "; cout << '\n'; intob[12] = 100; // generates runtime error return 0; }
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The DMDC operates what is arguably the Department of Defense s largest biometric database. By way of background, the Federal Managers Financial Integrity Act of 1982 requires federal managers to establish internal controls to provide reasonable assurance that funds, property, and other assets are protected against fraud or other unlawful use. As a result of this legislation, the Department of Defense launched Operation Mongoose, a fraud prevention and detection initiative. Operation Mongoose exposed a number of fraud schemes and indicated that Department of Defense needed to improve servicemember identity assurance procedures. Responding to the need for better fraud prevention measures, the acting Under Secretary of Defense (Personnel and Readiness) gave authority to the DMDC to initiate an electronic fingerprint capture policy in 1997. In an initial pilot program, DMDC saved an estimated $8 million with 25,000 military retirees living in overseas locations. The program confirmed DMDC s suspicion that military benefits were still being collected on deceased retirees when many failed to appear to enroll their fingerprint in the new identification system. Since 1998, the DMDC has been capturing the right index fingerprint of all active-duty, reserve, and retired military personnel, as well as survivors receiving a military annuity. This potential enrollment pool is 4 million people. The fingerprint is captured during the routine issuance (or reissuance) of military identification cards at DMDC sites. DMDC stores electronic copies of these fingerprints in a comprehensive database known as the Defense Enrollment Eligibility Reporting System (DEERS). DMDC does not store any copies of fingerprints on the actual military identification card. DEERS can be accessed if a person s identity needs to be authenticated.
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level is above a threshold to determine if an external light source is being used to fool the device. This liveness test basically implements what is known as pulse oximetry. Pulse oximetry is used in the medical field to determine the oxygen content of a patient s blood. In this test, however, the blood oxygen content information is ignored, while the pulse information is used.8 The following describes what is taking place in the device: Current pulse oximeters measure the differential absorption of two wavelengths (colors) of light projected through the finger or other tissue. It is based on two physical principles: that different colors of light are absorbed differently by oxygenated hemoglobin and deoxygenated hemoglobin; and the fluctuating volume of arterial blood between the source and detector, which adds a pulsatile component to the absorption. Tissue, bone, and venous blood absorb a relatively constant amount of light, producing an unknown, but constant, background absorption. Each time the heart beats, a pulse of arterial blood flows to the tissue. The influx of blood increases the absorption at both wavelengths. The ratio of absorption at these two wavelengths varies with the oxygen saturation. 9 The fourth example covers voluntary responses to a stimulus. A rather simple test, at least one speaker verification system prompts a user to speak a random set of digits. If the digits are not spoken in the right order, then the validation attempt is assumed to be a recording or some other form of deception. Similarly, a facial recognition product prompts its user to blink or smile. Software detects this change in expression, and then checks the face as usual. A fifth and final example is a test for an involuntary response to a stimulus. In the patent Detector for recognizing the living character of a finger in a fingerprint recognizing apparatus, 10 Peter Kallo and others lay out a method for measuring the dielectric response, as a function of frequency, of a finger to a small impulse current applied to the finger. In this instance, the current is the challenge, and the finger s electrical reaction to the impulse is the involuntary response. If the signals returned by the finger are outside predefined norms for human tissue, the finger is assumed to be a fake. Guardware Systems Ltd. has incorporated this patented liveness technique in their product line.
Case Study
Part II:
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