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supplied with cold water at 60 F and delivers hot water at a thermostat setting of 130 F. Loss through the insulation (Q2 ) is 300 Btu/hr. Assume 8.3 lb of water per gallon. 1. Can the unit supply the 130 F water continuously at a rate of 20 gal/hr (166 lb/hr) 2. If the cost of electrical energy is 4 cents/kWh, what does it cost to heat 1 gallon of water at these conditions 3. If the heater is initially at 70 F, how long will it take for the temperature to reach 130 F (Neglect water use during the warm-up period.) From equation (2.9): H1 EE1 H2 Q2 H1 166 1:0 60 9960 Btu=hr H2 166 1:0 130 21; 600 Btu=hr so that 9960 3413 PkW 21; 600 300, and solving for the power required gives PkW 3:5 kW. Since this is less than the 4.5 kW available, the 20-gal/hr rate is no problem. Since 20 gal/hr requires 3.5 kW, 1 gal requires 3.5/20 0.18 kWh and the cost is 0.18(0.04) $0.72. There is no ow under these conditions, but there is an increase in stored energy. From equation (2.9) once more: EE1 Q2 Hs 3413 4:5 300 Solving for t gives t 1:32 hr: 40 8:3 1:0 130 70 t



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The deploy target depends on the jar target, which in turn depends on the compile target. In this way, Ant automatically rebuilds anything that is needed before deploying the .jar file. One very nice feature of JBoss is that you can start the deployment process simply by copying the .jar file into the proper deployment directory. Likewise, you can simply delete the file to undeploy it. We defined the deployment directory as the default directory earlier in the parameter section of the build.xml file. The next target is a useful utility for removing all of the compiled files.

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Using the entire data set is not always necessary, or even practical, especially when the number of observations is large It may be possible to draw the same conclusions more quickly using a subset There are a number of ways of selecting subsets For example, using a random selection is often a good approach Another method is to partition the data, using methods such as clustering, and then select an observation from each partition This ensures the selection is representative of the entire collection of observations In situations where the objective of the project is to model a rare event, it is often useful to bias the selection of observations towards incorporating examples of this rare event in combination with random observations of the remaining collection This method is called balanced sampling, where the response variable is used to drive how the partitioning of the data set takes place.

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where q k is the charge, eL the unit vector, and /-h the length of the bond k . A , , can be +1, -1, and 0, depending on whether the atom A is origin atom, end atom or not contained in the bond k . S:, is the partial derivative of XAA with the normal coordinate Q l , and ~ K ~ , ~ , R is A A equal to I if Rkp = R A ~and zero in all other cases. Polavarapu , concludes that the bond moment model and the charge flow model are equivalent but require different parametrization taken from experimental results.

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