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Atmospheric Environment 1982; 16(5): 983 992 111 Harrison, RM and Sturges, WT Physicochemical speciation and transformation reactions of particulate atmospheric nitrogen and sulfur-compounds Atmospheric Environment 1984; 18(9): 1829 1833 112 Pilinis, C, Seinfeld, JH and Grosjean, D Water-content of atmospheric aerosols Atmospheric Environment 1989; 23(7): 1601 1606 113 Crocker, LS, Varsolona, RJ and McCauley, JA Two methods for the measurement of the dissociation pressure of a crystalline hydrate Journal of Pharmaceutical and Biomedical Analysis 1997; 15(11): 1661 1665 114 Raatikainen, T and Laaksonen, A Application of several activity coef cient models to water-organicelectrolyte aerosols of atmospheric interest Atmospheric Chemistry and Physics 2005; 5: 2475 2495 115 Elliot, JR and Lira, CT Introductory Chemical Engineering Thermodynamics Prentice Hall, Englewood Cliffs, NJ: 1998 116 Renon, H and Prausnitz, JM Local compositions in thermodynamic excess functions for liquid mixtures.

Aiche Journal 1968; 14(1): 135 144 117 Abrams, DS and Prausnitz, JM Statistical thermodynamics of liquid-mixtures new expression for excess Gibbs energy of partly or completely miscible systems Aiche Journal 1975; 21(1): 116 128 118 Fredenslund, A, Jones, RL and Prausnitz, JM Group-contribution estimation of activitycoef cients in nonideal liquid-mixtures Aiche Journal 1975; 21(6): 1086 1099 119 Liu, QL and Cheng, ZF A modi ed UNIFAC model for the prediction of phase equilibrium for polymer solutions Journal of Polymer Science Part B Polymer Physics 2005; 43(18): 2541 2547 120 Derr, EL and Deal, CH Analytical solution of groups: correlation of activity coef cients through structural group parameters Institution of Chemical Engineers Symposium Series 1969; 32: 44 51 121 Koo, B, Ansari, AS and Pandis, SN Integrated approaches to modelling the organic and inorganic atmospheric aerosol components.

Atmospheric Environment 2003; 37(34): 4757 4768 122 Marcolli, C and Peter, T Water activity in polyol/water systems: new UNIFAC parameterization Atmospheric Chemistry and Physics 2005; 5: 1501 1527 123 Gmehling, J, Li, JD and Schiller, M A modi ed unifac model 2 Present parameter matrix and results for different thermodynamic properties Industrial & Engineering Chemistry Research 1993; 32(1): 178 193 124 Gmehling, J, Lohmann, J, Jakob, A, Li, JD and Joh, R A modi ed UNIFAC (Dortmund) model 3 Revision and extension Industrial & Engineering Chemistry Research 1998; 37(12): 4876 4882 125 Weidlich, U and Gmehling, J A modi ed unifac model 1 Prediction of Vle, He, and gamma-in nity Industrial & Engineering Chemistry Research 1987; 26(7): 1372 1381 126 Larsen, BL, Rasmussen, P and Fredenslund, A A modi ed unifac group-contribution model for prediction of phase-equilibria and heats of mixing.

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Industrial & Engineering Chemistry Research 1987; 26(11): 2274 2286 127 Zhang, SJ, Hiaki, T, Hongo, M and Kojima, K Prediction of in nite dilution activity coef cients in aqueous solutions by group contribution models: a critical evaluation Fluid Phase Equilibria 1998; 144(1 2): 97 112..

0.2 0.1

number of fuzzy rules (or nodes) achieved by models. Load forecasts are shown in Figures 4.5 4.9. Notice in Table 4.2 that the ePL approach gives as good results as eTS and xTS, but is simpler and computationally more ef cient than eTS and xTS.

Ronan and Voldman established the RF ESD test procedure for the evaluation of a silicon germanium carbon (SiGeC) HBT pre- and post-ESD stress utilizing a wafer level S-parameter extraction on a wafer-level HBM tester, and wafer-level RF functional test system [76] As discussed in the prior section on RF ESD testing of single components, a test procedure was established for an evaluation of the S-parameter degradation RF ESD test methods can be established as follows [76]: Pre-stress evaluation: Evaluation of all S-parameter terms of the RF component using a TDR methodology as a function of frequency S-parameter matrix: Formulation of the S-parameter matrix terms (eg, two port matrix terms are S11, S12, S21, S22) ESD step-stress: Apply an ESD stress between two terminals of the RF component; one of the terminals has an ESD stress applied, whereas a second terminal is reference ground.

The question sometimes arises whether it is better to have software specifically written for an individual hospitality operation s needs or to buy an alreadywritten software package (known as canned software). Specifically, custom software is far more expensive than canned programs. Also, most hospitality businesses are generally small operations that do not have the resources necessary to carry out a system analysis and undertake the design work necessary to develop their own computer software. Canned programs normally have been widely tested, and any errors (bugs or glitches) in the program have been detected and corrected. Demonstrations of canned software can usually be viewed before the purchase decision is made because a number of vendors may carry comparable packages. The cost to buy, install, and train employees can also vary between an operation, depending on its needs and the software s capabilities to adjust for those needs. A successful canned software package represents a proven product that is obtainable at a cost much lower than that for a custom-designed software package. In addition, specialized canned software packages are readily available for a hospitality operation in such areas as food and beverage cost control, payroll, and generation of financial reports and ratio analysis. Obviously, the benefits of using off-the-shelf software have to be considered against the disadvantages. A software package written for broad hospitality requirements may not be as easy to use, or as fast, as one that is custom-designed.