Search results

One is to extend data sequence or to increase the extreme points on both ends.
The data corresponds to hourly average wind power measured in June, 2012.
There is a total of 720 data points.
Among them, there are 478 data points taking as experiment samples and there are 118 data points using for test.
The data of assessment index are shown in Table 1.

The model is validated using data of three engines.
The testing data collected cover duration of 800 seconds.
The exhaust temperature data are shown in the 1st plot of Fig. 5.
In Fig. 5, the experimental data and prediction data of exhaust temperature are shown in the 1st and 2nd plots.
The relevance is strongly and qualitatively supported by data matching.

Ecological houses have become very popular lately due to an increasing concern regarding the reduction of the CO2 emissions generated by the building sector.
The data results acquisition showed in the graph were recorded using two digital instruments Spider type.
The measured data is collected by Datalogger device and is transmitted to the Loggernet software running on a desktop, which processes the data numerically and graphically.
The program also gives a graphic interpretation of the measured data, i.e. temperature differences (DT) and heat flows (HF).
Data obtained from the software „Loggernet” must be further processed to obtain the parameters needed for the thermal characterization of materials, i.e. thermal resistance R, thermal transmittance U and thermal conductivity λ.

This system uses pre-programmed analysis data of daily solar radiation changes to parametrically drive the number of rotation phase and length of nose (Lobe Lift) that generates the shape of camshaft.
Location setting was in Jakarta, Indonesia (6.16 S, 106.48W), and the weather data was taken from 2008.
These settings were done in the microcontroller that collected input data from Grasshopper (Fig. 4) with Firefly plug-in [10] that connects the data from Grasshopper to microcontroller to drive the servo motor.
It works by its sensor that captures the existing environmental conditions as the data to be processed further in the microcontroller to drive the motor through the driver as shown in Fig. 12.
On the other hand, Centralized Motorized System (parametric camshaft) uses the analysis data of environmental simulation instead of sensors.

According to data measured by anemometer and sand collector, a comparative analysis on the relative sediment concentrations for different height in eight directions during the sandstorm on April 29-30, 2011, and study the pattern of wind-sand flow structure have been done.
According to data measured by anemometer and sand collector during the sandstorm on April 29-30，2011，the relative sediment concentrations for different height in eight directions and the change in mode graph of wind-sand flow structure have been summarized, compared and analyzed, hence this study can be a typical sample in the arid and semi-arid regions, where sandstorms frequently occurred.
In Table1, data collected from a sandstorm on 29 to 30 April 2011 are listed and portions illustrated in figures 5.
Combining data of wind speed and wind direction, sediment discharge in eight directions at different heights have been analyzed.
The data listed above suggested that sediment discharge is greatest impacted by wind-sand flow when the sandbox collector port towards the main wind direction in sandstorms.

Expression data showed that this was this gene had the most consistent expression.
Light-Cycler data was analyzed using the fit point method of Light-Cycler software.
Data represent the mean and standard deviation of four donors at 7 days, n = 4 GAG/DNA values of p2 cells under normoxic condition also did not statistically change with glucose concentration.
These data were confirmed by EdU by comparing the EdU positive cells in 5 and 20mmol/L with glucose deprived medium in chondrocytes-agarose constructs.
The result predicted suitable stimulatory effect of glucose concentration of 5 and 20mmol/L on chondrocytes proliferation in 3D (Data not shown).

Furthermore, some interesting data for the local Nusselt and Sherwood numbers are also illustrated.
They figured out that, the increase in the power law index for either wall variable temperature (n) or wall variable concentration (m) is accompanied by simultaneous reductions in the fluid velocity and temperature, while the Nusselt and Sherwood numbers are increased.
From Fig. 3, the increasing of the non-Darcy parameter (Fo), increases the resistance to the flow, which leads to a reduction of the fluid velocity ensues.
This reduction is more important at the wall, because the inertia term act as drag-force at the pore scale.

Three questionnaires were used for different purposes: (1) the first data set was used to subject degree analysis, any index with low subject degree will be rejected; (2) the second data set was aimed to find indexes with higher value of application.
Valid data is rooted in the third questionnaire.
They provided business data of the first quarter of 2010.
Empirical study was conducted by subject degree analysis, importance analysis and AHP based on large sample data from questionnaires of experts in this industry.
The methodology uses subject degree analysis, the importance analysis and AHP to ensure the scientificity of the data processing

Force data came from a 3D (X, Y, Z) Piezo-electric multicomponent dynamometer type YDM-III99 with control unit for dynamometer with built-in charge amplifier type YE5850.
Data acquisition card is a PC I9118 with maximum acquisition rate of 250,000 samples per second.
The digital data is acquired with 15,000 samples per second, which proved to be high enough to give reliable information during one revolution of the end mill.
The data is processed in Microsoft Excel 2000.
The cutting force data is downloaded from the oscilloscope and information on cutting force signatures are stored onto a floppy disk and post processing of the cutting force data analysis is performed using software.

The normalized results for “the-smaller-the-better” characteristics, which are applied to groove width and HAZ width in this study, can be calculated as (1) In the case of groove depth which is ‘the-larger-the-better’ characteristic, the original data can be normalized as (2) where xio(k), xi*(k), i and k are the original data, normalized data, the number of experiments, and the total number of data observations, respectively.
The Grey relational coefficients ranging from 0 to 1 are calculated to provide the relationship between the ideal, which equals 1 for the best value, and the normalized data.
The Grey relational grade indicates the degree of correlation between the reference and comparability, and becomes 1 when the two data are identical.
Experimental and Grey relational analysis data.
Although further reduction of the thermal effect can be reduced, this will be at the cost of the other performance characteristics.