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Adams, S & Holmes, MJ (1977) Determining Time Constants for Heating and Cooling Coils BSRIA Technical Note TN6/77 Building Services Research and Information Association, Bracknell str m, KJ & Wittenmark, B (1989) Adaptive Control Addison-Wesley, Reading, MA CIBSE (2000) Guide H: Building Control Systems Chartered Institution of Building Services Engineers, London Gear, CW 1971 Numerical Initial Value Problems in Ordinary Differential Equations Prentice Hall, Englewood Cliffs, NJ Gomaa, AG, Underwood, CP, Bond, TJ & Penlington, R (2002) Experimental investigation of sensible heat transfer in n-and-tube cooling coils Building Services Engineering Research & Technology 23(3) pp197 204 Gouda, MM, Danaher, S & Underwood, CP (2002) Application of an arti cial neural network for modelling the thermal dynamics of a building s space and its heating system Mathematical and Computer Modelling of Dynamical Systems 8(3) pp333 44 Holman, J.

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Despite its name, WFQ is not a direct derivative of FQ but was developed independently. Looking back at Figure 9.4, the gold queue is given 4 credits. It may transmit packets

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P (1997) Heat Transfer McGraw-Hill, New York Hung, CYS & Lam, HN (2003) Pressure loss characteristics of thin single-blade at dampers for square air ow branch ducts International Journal of Heating, Ventilating, Air-conditioning and Refrigerating Research 9(3) pp 327 45 Kaps, P & Rentrop, P (1979) Generalized Runge Kutta methods of order four with stepsize control for stiff ordinary differential equations Numerische Mathematik 33 pp55 68 Khoo, I, Levermore, GJ & Letherman, KM (1998) Variable-air-volume terminal units I: Steady-state models Building Services Engineering Research & Technology 19(3) pp163 70 Landau, YD (1979) Adaptive Control The Model Reference Approach Marcel Dekker, New York Legg, RC (1986) Characteristics of single and multi-blade dampers for ducted air systems Building Services Engineering Research &Technology 17(4) pp129 45 Ljung, L (1987) System Identi cation: Theory for the User Prentice-Hall, Englewood Cliffs, NJ Mamdani, E.

Carbohydrate counting involves calculating how many grams of carbohydrate ( carbs ) excluding fibre you are about to eat and giving an amount of rapid-acting insulin proportionate to this. For most people, the formula works out to about one unit of insulin for every 10 grams of carbohydrate. For example, if you are about to eat a meal that contains 50 grams of carbohydrate (again, fibre isn t included in the calculation), you would need to give yourself five units of insulin. The other key factor in determining how much rapid-acting insulin you require before a meal is your blood glucose level before the meal. If your blood glucose level is high before your meal, you ll need to take extra insulin to bring it down. This extra insulin is called a correction factor or sensitivity factor and is usually about one unit of insulin for every 3 mmol/L your blood glucose level is above 7 or so. Carbohydrate counting isn t rocket science, but it isn t easy either. To master carbohydrate counting requires quite a bit of guidance from a skilled dietitian. And even when you ve learned the ropes, periodic visits to the dietitian to reinforce the skills you ve learned are a good idea. In the accompanying sidebar ( Using carb counting and a correction factor ) we give an example of how to effectively use carbohydrate counting and a correction factor.

H & Assilian, S (1975) An experiment in linguistic synthesis with a fuzzy logic controller International Journal Man Machine Studies 7(1) pp1 13 McQuiston, FC, Parker, JD & Spitler, JD (2000) Heating, Ventilating and Air Conditioning John Wiley, New York Press, WH, Teukolsky, SA, Vetterling, WT & Flannery, BP (2002) Numerical Recipes in C++ Cambridge University Press, Cambridge..

where zi 0 for males and 1 for females. Substituting Equations (16.2a) and (16.2b) into the simpler version of Equation (16.1) gives us: yti b00 b01 zi b10 ati b11 ati zi u0i ati u1i eti 16:3

For short exits, simply reverse the plus and minus signs used for long exits. Notice how Table 5.8 s identical profit target and fail-safe stop loss resulted in its enjoyment of a higher winning percentage and smaller number of maximum consecutive losses than Table 5.9.

Applying Overhead to Inventory / 135

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This is a period of fishing. Check the continuity at t y3(6) This agrees with y2(6) 36. y1 1/u1, u1(0) y1 1/y1(0) u 1/u

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