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[28] W. L. Brogan. Modern Control Theory. Prentice Hall, Englewood Cli s, NJ, 3rd edition, 1991. [29] R. G. Brown. Kalman lter modeling. In Proceedings of the 16th Annual Precise Time and Time Interval (PTTI) Applications and Planning Meeting, pages 261 272, 1984. [30] R. G. Brown. Integrated navigation systems and Kalman ltering: A perspective. Navigation: Journal of the Institute of Navigation, 19(4):355 362, Winter 1972-73. [31] R. G. Brown and Y. C. Hwang. Introduction to random signals and applied Kalman ltering. J. Wiley, New York, 2nd edition, 1992. [32] R. G. Brown and D. J. Winger. Error analysis of an integrated inertial/Doppler-satellite system with continuous and multiple satellite coverage. Technical report, Engineering Research Institute, Iowa State University, January 1971. [33] C. Broxmeyer. Inertial navigation systems. McGraw-Hill electronic sciences. McGraw-Hill, New York, 1964. [34] R. S. Bucy and P. D. Joseph. Filtering for Stochastic Processes with Applications to Guidance. Wiley, New York, 1968. [35] E. Cannon. High-accuracy GPS semikinematic positioning: Modeling and results. Navigation: Journal of the Institute of Navigation, 37(1):53 64, Summer 1990.

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performance and other characteristics The hardware components became more modular and open, and enabled IT organizations and vendors to mix and match servers, storage, and other devices Throughout the 1990s, the tradeoff that most companies considered was the benefit of aggressive open systems pricing versus incremental value provided by tightly integrated solutions For common workloads in many businesses and organizations, database performance differences were negligible when making this choice, making the lower cost of commodity hardware more attractive At the turn of this century, some factors emerged that caused IT organizations deploying and integrating their own software and hardware components to reconsider both the benefits and challenges of a modular strategy First, all sizes of businesses began to experience a massive growth in data volume well beyond what they had previously experienced.

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where is approximately equal to 3.14159. If r is expressed in centimeters, then A is in centimeters squared; if r is in meters, then A is in meters squared. For a reflecting telescope, given an objective radius of r, the light-gathering area A can be calculated according to this formula: A r2 B

Very large data volumes especially became common when deploying business intelligence and data warehousing solutions that produced significant business value by solving ad hoc business questions or providing deeper analysis for strategic decision making Business analysts using such systems often required more detailed data, longer histories, and added data from external sources to uncover solutions to their business problems The changing workloads and growing data volumes on these systems made the sizing and integration of system components more challenging These systems also evolved from serving as nice-to-have strategic management systems to becoming tactical business management systems, thus introducing the need for better reliability, availability, and serviceability more commonly associated with transaction processing Some of the platform solutions from an earlier generation continued to service this need.

1. Manstein D, Herron GS, Sink RK, Tanner H, Anderson RR. Fractional photothermolysis: A new concept for cutaneous remodeling using microscopic patterns of thermal injury. Lasers Surg Med. 2004; 34(5):426-438. 2. Laubach H, Chan HH, Rius F, Anderson RR, Manstein D. Effects of skin temperature on lesion size in fractional photothermolysis. Lasers Surg Med. 2007;39(1):14-18. 3. Laubach HJ, Tannous Z, Anderson RR, Manstein D. Skin responses to fractional photothermolysis. Lasers Surg Med. 2006;38(2):142-149. 4. Alster TS, Tanzi EL, Lazarus M. The use of fractional laser photothermolysis for the treatment of atrophic scars. Dermatol Surg. 2007;33(3):295-299. 5. Rokhsar CK, Fitzpatrick RE. The treatment of melasma with fractional photothermolysis: A pilot study. Dermatol Surg. 2005;31(12):1645-1650. 6. Behroozan DS, Goldberg LH, Glaich AS, Dai T, Friedman PM. Fractional photothermolysis for treatment of poikiloderma of Civatte. Dermatol Surg. 2006;32(2):298-301. 7. Marra DE, Pourrabbani S, Fincher EF, Moy RL. Fractional photothermolysis for the treatment of adult colloid milium. Arch Dermatol. 2007;143(5): 572-574. 8. Wanner M, Tanzi EL, Alster TS. Fractional photothermolysis: Treatment of facial and nonfacial cutaneous photodamage with a 1550-nm erbium-doped ber laser. Dermatol Surg. 2007;33(1):23-28. 9. Chan HH, Manstein D, Yu CS, Shek S, Kono T, Wei WI. The prevalence and risk factors of post-in ammatory hyperpigmentation after fractional resurfacing in Asians. Lasers Surg Med. 2007;39(5): 381-385. 10. Hantash BM, Bedi VP, Chan KF, Zachary CB. Ex vivo histological characterization of a novel ablative fractional resurfacing device. Lasers Surg Med. 2007; 39(2):87-95. 11. Hantash BM, Bedi VP, Kapadia B, et al. In vivo histological evaluation of a novel ablative fractional resurfacing device. Lasers Surg Med. 2007;39(2): 96-107. 12. Marra DE, Yip D, Fincher EF, Moy RL. Systemic toxicity from topically applied lidocaine in conjunction with fractional photothermolysis. Arch Dermatol. 2006;142(8):1024-1026.

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