Representation of Results

The proposed facility location model can be expanded to include additional criteria subject to data availability. While majority of existing facility locatimi models focus on optimizing facility location costs or travel time related measures, the proposed model attempts to locate facilities according to a wide range of contextual characteristics. 

Dolk DR (2000) Integrated model management in the data warehouse era. Eur J Oper Res 122 199-218 

Grabis J, Chandra C, Kampars J (2012) Use of distributed data sources in facility locatitm. Comput 

Hahn GJ, Packowski J (2015) A perspective on applications of in-memory analytics in supply chain management. Decis Supptut Syst 53 591-598 Kampars J, Grabis J (2011) An approach to parallelization of remote data integration tasks. Sci Proc RTU Computer Sci 49 24—30 

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An alternative approach to the representation of results for solid-liquid flow is to use the two-layer model which will be described in the following section. It will be seen that the coefficient of friction between the particles and the wall of the pipe is an important parameter in the model. It is suggested that its complete absence in equation 5.24 may be an important reason for the extent of the scatter. Unfortunately, it is a quantity which has been measured in only a very few investigations. It is interesting to note that the form of equation 5.19 was obtained by NEWITT et alP2) using a force balance similar to that... 

Generally a data issue relating to representation of results above or below limits of detection Be aware that this result has some quality issue but is unlikely to restrict its use... 

A series of runs was made to study the ozonation of cyanide under a variety of conditions. Figures 2 to 5 are graphical representations of results from runs 55 to 83. 

If the quantity measure is number, Qfx) is called a cumulative number distribution. If it is length, area, volume, or mass, then the corresponding length [Qfx ], area [Qf,x ], volume, or mass distributions are formed [Qs(x), mass and volume are related by the specific density p. The index r in this notation represents the quantity measure (ISO 9276, Representation of Results—Part 1 Graphical Representation). The choice of the quantity measured is of decisive importance for the appearance of the PSD, which changes significantly when the dimension r is changed. As, e.g., one 100- lm particle has the same volume as 1000 10- lm particles or lOVl-pm particles, a number distribution is always dominated by and biased to the fine fractions of the sample while a volume distribution is dominated by and biased to the coarse. 

Example 2 The Sauter mean diameter and the volume weighted particle size and distribution given in Table 21-1 can be calculated by using FDIS-ISO 9276-2, Representation of Results of Particle Size Analysis—Part 2 Calculation of Average Particle Sizes/Diameters and Moments from Particle Size Distributions via Table 21-2. 

Fig. 9 Graphical representation of results from a nanoindentation experiment. For many solids, an elastic regime at low loads is followed by a discontinuous excursion. For amorphous alloys, a series of staircase deformations occur in response to shear banding.

However, there exists another representation of results which is better for studying blends of two types of chains. The approximate formula is written as... 

Fig. 70. Schematic representation of results of numerical calculations made by Huth (1974) on (A) the dependence of the domain-wall radius of the various terms contained in eq. (30). (B) The relative magnitudes of the quantities MHna and Hc when plotted as a function of the wall radius. The shaded regions correspond to unstable domains when temperature and bias field do not correspond to standard conditions. In part (C) of the figure the same relationships as in (B) are shown for standard conditions...

ISO 9276-6, 2008. Representation of results of particle size analysis—Part 6 Descriptive and quantitative representation of particle shape and morphology. 

Figure 4.20 Overall representation of results for transport in heavy media Example 4.2...

Figure 6.B.I Graphical representation of results of dry bulk density versus water content at compaction.

Graphic representation of results of simulation experiments will allow understanding of the incidence of failures of individual elements in the range corresponding drawdown of operating units. Parallel equivalent elements are shown graphically. 

Representation of results of particle size analysis - Part 1 Graphical representation Representation of results of particle size analysis - Part 2 Calculation of average particle sizes/ diameters and moments from particle size distributions Representation of results of particle size analysis - Part 3 Fitting of an experimental curve to a reference model (in preparation) Representation of results of particle size analysis - Part 4 Characterization of a classification process (in preparation) Representation of results of particle size analysis - Part 5 Validation of calculations relating to particle size analysis using logarithmic normal probability distribution (in preparation) Particle size analysis - Laser diffraction methods - Part 1 General principles... 

Fig. 17. Schematic representation of elution profiles produced by the binding of background metal ions to macromolecular ligands. [M] - = total metal concentration [M] = free metal concentration [ML] = concentration of metal-ligand complex [L] = free ligand concentration [M]o = concentration of free metal ion in the eluent. Elution proceeds from frame 1 to 3. The bottom illustration is a schematic representation of resulting chromatogram obtained by monitoring the metal content of the column effluent. See text for discussion.

R. Finsy, N. De Jaeger, R. Sneyers, E. Gelade, Particle sizing by photon correlation spectroscopy. Part III Mono and Bimodal Distributions and Data Analysis. Part. Part. Sys. Charact. 9(1 ), 125-137 (1992). doi 10.1002/ppsc. 19920090117 ISO 9276-1 1998, Representation of Results of Particle Size Analysis—Part 1 Graphical Representation (Beuth-Verlag, Berlin, 2004)... 

GRAPHICAL REPRESENTATION OF RESULTS 8.4.1 Bode plots vs complex plane diagrams... 

Demonstration of results and analysis (15) Representation of results, analysis of results, comparison, and conclnsion. 

Graphical Representation of Results.—The progress of the separation is well seen by mapping the temperatures against the percentage weights of distillate collected, and the curves for the first twelve fractionations are shown in Fig. 28 (a and h). The horizontal lines at the extremities of the later curves represent the methyl and propyl acetates removed in the first portion of the first distillates and in the residues respectively. The presence of ethyl acetate is clearly indicated in the fourth curve but not in the earlier ones. 

Sensitivity of the Model to Variation inM/V. As expected, the model is not particularly sensitive to variations in MIV (Fig. 10-15). This occurs primarily because representation of results in terms of K, and subsequently normalizes the... 

In an absorbing medium the wave vector k, the dielectric constant , as well as transmission factors and those arising from boundary conditions are complex (cf. Eqs. (13)-(15)) Thus the graphical representation of resultant harmonic field (cf. Fig. 9) has to be modified in the following manner (cf. Fig. 10). The AM is replace by A M with... 

ISO 9276-1 Representation of Results of Particle Size Analysis Part 1 Graphical Representation, International Organization for Standardization (ISO), Geneve, 1990. Alderliesten, M., Mean Particle Diameter, Part I Evaluation of Definition Systems, Part. Part. Syst. Charact. 1990,7,233-241. 

ISO 9276-1 1998 Representation of Results of Particle Size Analysis - Part 1 Graphical Representation... 

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