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The first constitute additional reworks with material loss with inherent cost increase and productivity reduction.
The data acquisition system monitored the welding process at 0.2 seconds interval, measuring the current intensity through two independent and redundant electrical current transducers (LEM® LF 1005-s and LEM® HTA 400-s), the voltage at power supply terminals and between the tool body and the base plate.
These data allowed to calculate the electrical power delivered to the weld root.
A multifunction data acquisition system (DAQ) NI USB–9008 was used to acquire the data and a dedicated software was developed in LabVIEW® to show process parameters in a graphic friendly user interface in real time and save data at the end of each test.
Fig. 5 Schematic representation of the overall installation including electronics and data acquisition.

Over the years, the communication industry has experienced an exponential increase in the demand for information (Data) exchange that had led to an increase in traffic (outburst) along the existing communication channel [1].
The 4th Generation (4G) LTE technology which is data-centric (i.e.
Different technology (modulation scheme) was continually employed in the quest for high data capacity and speed for information exchange (Broadband).
Carnes, "The use of data envelopment analysis for evaluating building energy consumption in terms of productivity," US department of energy, office of science & technical information, p. 12, 1998
Tugcu, "energy efficiency in energy production:data envelopment analysis (DEA) approach for the G-20 countries.," international journal of energy economics and policy, vol. 5, no. 1, p. 7, 2015

Based on the daily rainfall data of 145 meteorological stations in the Yellow River basin, the spatial and temporal variations characteristic of erosive rainfall was analyzed by using statistical methods.
The spatial and temporal variation of erosion precipitation, extreme precipitation and annual precipitation are analyzed by use of longer and denser daily rainfall data in the last 50 years over the Yellow River basin.
Fig. 1 Meteorological stations in the Yellow River Basin Data and Method The divisory criterion of the erosive rainfall is the daily rainfall over 12 mm by using 145 meteorological stations in the Yellow River basin [7].
For by-station, screened yearly summary of daily rainfall data obtained stations yearly rainfall, erosion precipitation and extreme rainfall.
The stations of reduction occopied 67% , some of them pass the 0.05 significance level.

According to XPS data sample on Si/SiO2 appears less susceptible to sputtering under bombardment.
However, matching XPS and Raman data is often non-obvious and controversial.
The peaks assignment were performed basing on the data reported earlier (see, e.g., [2,4]) The spectrum comprises 6 major contributions at 284.2, 285.0, 285.8, 286.5, 287.0, and 288.5 eV.
These data are typical for the two layer graphene.
Ruo, Synthesis of Graphene –based nanosheets via Chemical Reduction of Exfoliated Graphite Oxide, Carbon 45 (2007) 1558-1565

The current work addresses both tasks: improvement of efficiency and reduction of noise emission.
Modifications of the stripper geometry with the objective of pressure drop linearization along the stripper are evaluated with respect to efficiency, pressure rise and noise reduction.
The goal of this work is to reveal approaches for side channel blowers that lead to a noise reduction as well as a rise in efficiency.
The data was recorded with a telemetric system at a sampling frequency of 100 kHz and transferred to the non-rotating laboratory system.
A network of hydraulic resistors was setup for the original configuration and was trimmed with the measurement data (see Fig. 3a).

One of the strategic goals of Europe 2020 is the reduction of greenhouse gas emissions by 20 % by 2020 compared to year 1990 and increasing energy efficiency by 20 %.
Closely related to the revitalization of structures necessary for reasons reduction of their unsatisfactory energy consumption and then also the construction of new building structures with minimal energy requirements by using less energy demanding materials, if is it possible from easily renewable resources.
Table 3 Overview of dependence of thermal conductivity on temperature and relative humidity, sorption properties Dependences Values of Properties Temperature [°C] 10 20 30 Thermal conductivity [W·m-1·K-1] 0.0814 0.0861 0.0885 Relative humidity [%] 0 50 80 Thermal conductivity [W·m-1·K-1] 0.0753 0.0814 0.0864 Relative humidity [%] 0 50 80 Water content [M. %] 0 0.23 8.07 Simulation of hygrothermal behavior of developed mixture Based on the obtained data were this mixture subjected to simulations of hygrothermal behavior in the calculation program WUFI 2D, in specific detail the historical walls, insulated calcium silicate boards from the site of interior.
On the basis of the measured data and simulation of thermal and moisture behavior developed plaster with fibers from sheep's wool can be stated that the plaster perform sufficient thermal insulation function.

Historically, four methods have been employed to produce these propagation and loading data. 1) Closed form mathematical analysis of shock wave propagation/interaction. 2) Experimental test data. 3) Numerical analysis of the relevant differential equations governing shock propagation and target interaction. 4) Empirical or quasi-empirical prediction methods.
Thus, data from a large number of disparate experimental trials can be combined into simple load prediction relations.
Figure 6 shows an example of the very good correlation between the cleared pressure prediction derived this way and the experimental data from Figure 4.
Data from Figure 4 with Hudson clearing prediction added Figure 7.
Cumulative specific impulse vs time data from Figure 6 Figure 8.

- a study of the possibilities Bo Jonson 1, a, Björn Zethræus1, b, Ruud Beerkens2,c and Adriaan Lankhorst2,d 1 School of Technology and Design, Växjö University, SE 351 95 Växjö, Sweden 2 TNO Glass Group, De Rondom 1, Eindhoven, The Netherlands a bo.jonson@vxu.se, b bjorn.zethraeus@vxu.se, cruud.beerkens@tno.nl, dadriaan.lankhorst@tno.nl Keywords: CO2 reduction, glass furnace, woody bio fuel, energy balance calculations, non carbonate batch compounds Abstract.
Tables 1 and 2 summarizes the calculated data for glass furnace wood combustion in comparison with natural gas combustion.
Combustion and furnace data, 50 t p d furnace, wood and natural gas combustion Wood Wood Wood Gas % cullet; mass % 50 50 80 50 Surface area melter; m2 28,1 28,1 28,1 28,1 T melt in throat; o C 1340 1340 1340 1340 Air excess; vol. % 12 20 12 8 Batch humidity; mass % 3 3 3 3 Net calorific value gas; MJ/Nm3 31,65 Combustion value, wood ; MJ/kg 17 17 17 - Cold air leaking in; Nm3/hr 400 400 400 400 Emmissivity flame part; [-] 0,4 0,4 0,4 0,25 Air preheat; o C 1195 1195 1167 1197 Regenerator efficiency 48,9 49,7 49,1 53,8 Energy consumption ; MJ/kg glass 7,48 7,64 7,09 8,05 Wood/ gas consumption; Kg/Nm3.
Silicate compounds are thus the only ones left for consideration and studies in this work, although some more data on hydroxides on to be collected in order to achieve a more complete picture.
Introducing silicates will of course imply a reduction of the sand content of the batch, as one of the factors explaining the enhanced reactivity.

Reduction of ignition delay of the vegetable oil in the hot environment of the LHR engine improved heat release rates and efficient energy utilization.
This was due to decrease of un-burnt fuel fraction in the cylinder leading to increase in VE in CE and reduction of gas temperatures with LHR engine.
This was also due to the reduction of residual fraction of the fuel, with the increase of injection pressure.
Table 7 Data of smoke levels at peak load operation Injection timing ( o bTDC) Test Fuel Smoke levels at peak load (HSU) Conventional Engine LHR Engine Injector opening pressure(Bar) Injector opening pressure (Bar) 190 230 270 190 230 270 NT PT NT PT NT PT NT PT NT PT NT PT 27 DF 48 -- 38 -- 34 -- 55 -- 50 -- 45 -- CJO 65 60 63 58 58 54 45 40 40 35 35 30 30 DF 36 -- 34 -- 32 -- 45 -- 42 -- 41 -- CJO 60 55 55 50 45 55 40 35 35 30 30 25 31 DF 33 --- 32 -- 30 -- 43 -- 41 -- 40 -- CJO 55 50 50 45 55 52 35 30 30 25 25 22 32 DF 32 -- 31 -- 32 -- -- -- -- --- -- -- CJO 50 45 55 52 52 49 -- -- -- --- -- -- 33 DF 30 --- 30 -- 35 -- - -- -- -- -- -- This was due to i) the reduction of density of the vegetable oils, as density is directly proportional to smoke levels, ii) the reduction of the diffusion combustion proportion in CE with the preheated vegetable oil, iii) the reduction of the viscosity of the vegetable oil, with which the fuel
Hence further work on reduction of NOx levels is necessary.

Separation of these material levels overcame heterogeneous complexity of composites, thus preventing duplicity of obtained data from different phases with close mechanical and/or structural features (such as aggregate and clinker etc.).
Micromechanical data were obtained using displacement driven grid indentation (Ti 700 series, Hysitron Inc.).
With respect to the sample microstructure, micromechanical features of individual phases present in each composite were derived from indentation data by spectral deconvolution.
The data were processed with respect to deconvoluted results (see Table 2) to derive average thickness of ITZ and other measured phases, as depicted in Fig. 1.
The study also showed that silica fume is the most efficient SCM for the reduction of thickness of ITZ in HSC.