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The impregnated support material experiences a reduction in surface area and pore volume while the pore diameter remains unaffected, increasing the catalyst's surface area [14].
This reduction is attributed to the continuous decline in the –OH groups on silanol due to the evaporation process as the calcination temperature increases.
This results in a reduction of Brønsted acid sites, where –HPO4 groups contribute to the acidic sites in the catalyst [33].
The decrease in the % atomic of P after impregnation with nickel metal suggests that the distribution of P elements is uneven, leading to a reduction in the quantity of this element.
Fig. 8 shows the percentage conversion data of liquid products in the ethanol dehydration process to diethyl ether using SiO2, SP 2-400, and SP 2-NiO 3% catalysts at 175, 200, and 225 °C reaction temperatures.

The data entry is shown in Table 1. 2.3 Transesterification of Melia azedarach oil The transesterification of Melia azedarach was done while varying the following important factors which affect the reaction.
At higher temperatures, the reaction proceeds quite rapidly and reaches optimum conversion beyond which addition of acid beyond 5% either has no influence or there is a reduction in FFA conversion due to the occurrence of the reverse reaction.
Figure 5: Acid to oil concentration versus FFA conversion 3.2.4 Influence of reaction time Generally, the reaction rates at the different temperatures increase from 40 mins to 50 mins beyond which there is a reduction in the tie rates of reduction until a plateau phase where there is no more increase in FFA conversion despite increase in reaction time.
At 53℃ reaction temperature which is the optimum reaction temperature, there is not only a reduction in the time rates of reaction beyond 50 mins but there is also a reduction in the FFA conversion.
This is a representation of the reduction of triglycerides.

On the basis of the functions of this evaluation system, the main framework of Data Envelopment Analysis (DEA) for the system of evaluating efficiency is also suggested, which is accordant to features of data of accounting in chemical enterprises.
The financial data used in this system is the information about the working of safety resources in chemical enterprises.
The basic unit of Data Envelopment Analysis is Decision-Making Units (DMUs) [4].
The necessary data for method of DEA comes from the financial data chose carefully from accounting information.
With the model (4) of , the availability of safety resources supplied in every chemical enterprises can be evaluated on the basis of accounting input data and output data in one enterprise, and the range of economic risks of safety resources invested in chemical enterprises also be confirmed.

Load versus crack mouth opening displacement diagrams were recorded and (after data filtering and appropriate modifications) subsequently evaluated using the Double-K fracture model.
The measured data were then filtered and appropriately modified at the Faculty of Civil Engineering, Brno University of Technology (BUT), and subsequently evaluated in detail using the Double-K fracture model.
GTDiPS software [1] was used to conduct data filtering and make appropriate modifications to the diagrams (elimination of data point duplication and reduction of the number of measured points).
In addition to the aforementioned specimen dimensions and notch depth, other input data for the Double-K fracture model was taken from the above-mentioned edited Pv–CMOD diagrams.

Sample printouts of the original measurement data are presented in figure 1.
The printout of the original data after the lifetime measurement of charge carriers by the method of photoconductivity decay in a pseudo-fixed state at the WCT-120 stand by Sinton Cons.
After rolling, a significant reduction in agglomerates was noted.
The data was obtained under AM1.5 global spectrum at 1000 W/m2 light intensity at temperature 25oC.
Woodhouse, A wafer-based monocrystalline silicon photovoltaics road map: Utilizing known technology improvement opportunities for further reductions in manufacturing costs.

The air preheater is with the tube air heater, and the steam temperature control is self-condensation water temperature reduction.
The boiler is equipped with two pressure fans and two draft fans, the main design parameters and combustion characteristics of the boiler are respectively shown in table 1 and table 2 Table 1 Main design parameters of the boiler no. project Name symbol unit data 1 boiler evaporation（MCR） D t/h 170 2 pressure superheated steam P MPa 9.8 3 superheated steam temperature t ℃ 540 4 enter water temperature tgs ℃ 215 5 hot air temperature trf ℃ 366 6 exhaust gas temperature ℃ 145 7 boiler thermal efficiency η % 90.5 Table 2 The design fuel features of the boiler Composition Car/% Har/% Oar/% Nar/% Sar/% Aar/% Mar/% Vdaf/% Qnet.ar/(kJ/kg) Content data 63.15 3.04 4.2 1.14 0.73 22.74 5 .0 11.15 24089 The test principles and methods Air outlet damper characteristic test The air outlet damper characteristic is the relationship of the throttle plate opening and the wind speed (wind flow), and is controlled by adjusting the throttle plate opening and the wind speed flow [8,10-12], so
By using the Pitot tube, differential pressure gauge and hot-wire measuring anemometer and maintaining a certain pressure, the speed (or dynamic pressure value) of different baffle opening or ducts was measured at the outlet of ventilation door baffle and the blower and draft fan baffle, the baffle opening is from 0 to 100% (usually data: 0%, 20% , 40%, 60%, 80%, 100%), and the corresponding curve was drawn.
The principles and methods of boiler cold simulation The purpose of the boiler cold test is to comprehensively examine and understand the boiler combustion system and cold actual operating performance of auxiliary equipment, and provide necessary basic data for boiler ignition, hot state operating and preventing slagging accident.
Technical reformation and experimental analysis on NOx exhaust reduction by classifired combustion at boiler[J].

Gathering data: The next step is to gather data on the product's energy consumption, raw materials, transportation, and other inputs.
This data can be obtained from suppliers, energy bills, and other sources. 3.
Calculating emissions: Once the data has been collected, emissions can be calculated using standard emission factors or life cycle assessment (LCA) methods.
When comparing a Distributed Manufacturing System (DMS) which a 3D Printing technology allows, printing just-in-place or in a cottage industry setting, with a Centralised Manufacturing System (CMS) which has driven industrialization and driven down costs by making everything in the most cost-effective place with an economy of scale concept, i.e. concentrating on productivity, Cerdas et al [10] explained that DMS may potentially reduce pollution through reduction of global transport compared to CMS’ high global flows of goods and materials, which in turn results in high pollution and waste of energy [11].
(b) Maintenance and running costs through better designs enabled by 3D Printing – e.g. better ventilation, lighting, keeping warm in winter and cool in summer through better designs (e.g. using lattices) An attempt to look at both the economic and environmental standpoints [15] when comparing 3D Printing of a bathroom unit with a traditional precast approach, based on (i) economic cost, (ii) environmental impact ( CO2 emission) and (iii) productivity, found a reduction of 34.1%, 85.9% and 87.1% respectively.

The data for calculating the feasibility and energy-power parameters of the process CRE Value Unit CRE-200 Unit CCRE-2,5 Unit CCRE-4 The dimensionless parameter Roll diameter with protrusion D1, mm 214.0 462.0 428.0 - Roll diameter with groove D2, mm 164.0 394.0 428.0 - Minimum height gauge h, mm 7.0 10.0 19.0 - Average diameter of the rolls D0, mm 189.0 428.0 428.0 The width of the caliber b, mm 15.0 22.0 42.0 Starting billet height h0, mm 14.0 20.0 42.0 Starting billet width b0, mm 14.0 20.0 40.0 Matrix surface height hм, mm 20.0 25.0 31.0 Diameter of extruded product d , mm 9 9 9 Theoretical research Theoretical analysis of the process combined rolling-extrusion [13] have shown, that for realization of the process should be carried out the power balance condition, that is the total capacity of subsumed active friction forces Na must be equal (or more) to power of reactive forces Nr, spent on the implementation of deformation and overcoming friction in the deformation zone
Fig. 2 shows data for this calculation method for obtaining rods made of aluminium alloy 6063 depending on various conditions of contact friction with a metal roll and the matrix (ψм - rate of friction on the surface of the matrix, ψn - rate of friction on the belt of matrix ψв and ψcm - friction indices, respectively, on the surface of roll and the walls of roll with a groove) by the method of combined rolling-extrusion on different units (Table 1).
Analysis of the data shown in Fig. 2 shows that the diameter of the rolls (Fig. 2 a, b) a significant impact on increasing the feasibility of the process.
Energy-power parameters during machining of aluminium alloy 6063 on the units of combined machining Parameter Tb=400 оC Tb=540 оC m=4.4 m=7.3 m=14.3 m=4.4 m=7.3 m=14.3 Unit CRE-200 ξ = 0.23 sec-1 Рroll, kN 121 127 134 59 62 65 Рmatr, kN 71 95 128 35 46 62 ξ = 0.81 sec -1 Рroll, kN 152 160 169 75 79 83 Рmatr, kN 90 120 161 44 59 80 Unit CCRE-2,5 ξ = 0.23 sec -1 Рroll, kN 249 263 276 121 128 134 Рmatr, kN 100 134 180 49 65 88 ξ = 0.81 sec -1 Рroll, kN 312 330 347 155 163 172 Рmatr, kN 126 168 226 62 83 112 Unit CCRE-4 ξ = 0.23 sec -1 Рroll, kN 621 656 690 302 319 335 Рmatr, kN 313 418 562 152 203 273 ξ = 0.81 sec -1 Рroll, kN 781 824 867 386 407 428 Рmatr, kN 394 526 707 195 260 349 Analysis of calculated data showed that for caliber with dimensions in minimum cross-section 7×15 mm and temperature 400 оC force on the rolls does not exceed 200 kN, and the force on the matrix does not exceed 182 kN.
Increasing the temperature to 540 оC leads to a further reduction of efforts, and growth of a strain rate (speed of rotation of the rolls) to the growth of energy-power parameters of the process CRE because of speed metal hardening.

Introduction Over the last few decades, Exponential Smoothing (ES) methods have been recognized as one of the most popular approaches for forecasting the time series data[1, 2].
As presented in Fig. 1, the demand data of distribution transformer tank (750 KV) for a three-year period were collected from a local manufacturing industry.
A noticeable reduction in the deviation of the forecasted values from the actual demand is obtained through the fuzzy growth adjusted Holt-Winters (FGAHW) method.
Vercher, A decision support system methodology for forecasting of time series based on soft computing, Computational Statistics & Data Analysis. 51 (2006) 177 – 191
Vercher, Holt–Winters Forecasting: An Alternative Formulation Applied to UK Air Passenger Data, Journal of Applied Statistics. 34:9 (2007) 1075–1090

In addition, this method could improve data transmission in the semantic web net effect.
But the generality of this method was poorer, depending on the initial data set.
Semantic similarity calculation can be applied to text clustering algorithm, web information credible analysis, as well as the feature dimension reduction.
Fast and accurate text classification via multiple linear discriminant projections, Int’l Journal on Very Large Data Bases. 2003, 12(2), 170−185
Proc. of the 8th ACM Int’l Conf. on Knowledge Discovery and Data Mining (SIGKDD-02).