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Online since: January 2013
Authors: Eri Prasetyo Wibowo, Busono Soerowirdjo, Veronica Ernita Kristianti, Hamzah Afandi, Shinta Kisriani
It has been unknown the memory device receive the signal input form from another circuit,therefore the digital data get distorted by adding delays in the signal like low voltage signal levels, slow rise and fall time,or another influence.
In previous invention is had been mentioned the input buffer configured to receive data and pass the received data to the another circuit in a whole circuit like random access memory circuit [5].
The discovery was invention using the input buffer circuit [6,7] more talk about discuss about the input circuit as a reduction of the currents entering the whole circuit.
If the input buffer does not “slice” the data in the correct position, timing errors can occur [2].
Timing Errors in generating digital data [2] In this paper using propagation delay method to determine the quality of an input buffer.
Online since: January 2012
Authors: Beatriz López, Z. Aretxabaleta, S.V. Parker, Beatriz Pereda
However, even if some data which indicate that Al has an influence on the stress levels and the dynamic softening kinetics have been reported [[] E.I.
Fig. 2 shows the fractional softening experimental data obtained for the three steels studied at different deformation temperatures and pass-strains.
In all cases the experimental data could be fitted to an Avrami type equation of the form: (1) where X is the fractional softening corresponding to a time t, t0.5 is the time to reach a 50% fractional softening and n is the Avrami exponent.
According to the results shown above, the mechanical softening data determined for the C2Mn2Al2 steel at temperatures of 1000ºC and 950ºC cannot be considered representative of static recrystallization occurrence.
The significance of the retardation exerted by Al addition in this range of compositions is better appreciated taking into consideration that according to the data obtained in this work the retardation exerted by 1%Al would be equivalent to that exerted by 0.026%Nb addition, and that exerted by an addition of 2%Al equivalent to 0.05%Nb addition.
Online since: January 2004
Authors: Bonglea Kim, Licai Jiang, Boris Verman
The exponential fitting performed on the measured intensity data gives the spot lifetime of 260 days for 30W, a reasonable lifetime for various applications.
Since the measured beam count at a given blade position is proportional to the integration over the exposed portion of the source, the source profile can be reconstructed mathematically from the scanned data.
The spot position change causes the incident X-rays to deviate from Bragg’s angle, resulting in a flux reduction.
The ray-tracing simulations are performed to compare with the measured data.
The simulated data and the measured data are in good agreement.
Online since: September 2013
Authors: Qing Wang Liu, Zhen Zhong Fan, Wan Ying Zhao, Meng Sun
Table 4 The experimental data of recovery rate of rock fragments Medium R1 (%) R2 (%) R1/R2×100% Distilled water 35.4 34.6 Completion fluid 77.42 75.19 97.1 As is shown in the table,the rolling recovery completion fluid rate is greater than 75%,2 times of diatilled water,showed that the completion fluid has good effect of inhibition of clay hydration dispersion. 3.2 The test of statis expansion The experimental result of statis expansion is shown in table 5 Table 5 The experimental data of the test of statis expansion Immersion medium Different expansion time(h)of the 000 expansion rate(%) 0 1 3 5 10 20 Distilled water 0 5.2 13.7 15.6 19.6 21.2 Completion fluid 0 0.53 0.99 1.79 2.84 2.93 As is shown in the table, core inflation rate is less than 3%, and it is greatly reduced compared with distilled water expansion rate when using completion fluid immersion.
The result shows that the completion fluid has good capacity of inhibition of clay hydration expansion. 3.3 The test of core recovery Select Sanan oilfield three pieces of different permeability natural core ,then measure the changes of core permeability afer injecting completion fluid, data is shown in table 6.
Table 6 The experimental data of core flow Core number K1 (10-3μm2) K2(10-3μm2) Permeability reduction value (%) 1 0.49 0.37 24.5 2 53.2 42.3 20.5 3 182.5 151.2 17.2 Indicated through the core flow experiment, for the cores with different permeability, permeability values were less than 30%, core recovery rate is more than 70%,completion fluid has good efect of reservoir protection.
Single well daily oil production increased by 3.05t, rate of water content decreased by 10.3%, fluid production strenth and oil production strength is higher than adjacent wells by 0.17 m3/d.m and 0.20 m3/d.m, increased by 14.5% and 51.3% respectively, compared with adjacent wells. 4.2 Reducing skin factor Skin factor S calculated by well test data, includes any injury of the formation casuded from the drilling, completion ,perforating,injection,production,subsequent job and stimulation,it can reflect the extent of injury in experimental zone roundly.
Online since: November 2013
Authors: S. Sai Prashanth, Raj D. Chordia, M. Venkat Raman, J. Prasanna
Grey Relational Analysis The various steps involved in grey relational analysis for the multi-performance optimization [7] are as follows: · Data Preprocessing: Data preprocessing is performed on the experimental data of the performance characteristics to normalize their values between zero and one.
Based on the quality of the performance characteristic, normalization can be performed as follows: ‘Smaller is better’ performance characteristic equation (Tool wear and circularity ) (1) where xi(k) is the normalized data for the ith experiment of the kth performance characteristic (i = 1,2,…18 and k = 1,2,3). αi(k) is the experimental value for the ith experiment of the kth performance characteristic, and min αi(k) and max αi(k) are the smallest and largest of the experimental values of the kth performance characteristic respectively
Experimental Data Table 1 Results of the experiment conducted Feed Rate (mm/min) Spindle Speed (rpm) Lubrication type Circularity (µm) Tool wear (µm) 5 2000 Dry 51.4 15.67 10 2000 Air 43.7 10.98 15 2000 Wet 49.8 8.97 10 3500 Dry 44.4 13.47 15 3500 Air 40.87 12.45 5 3500 Wet 27.65 11.34 15 5000 Dry 43.4 14.96 5 5000 Air 22.55 16.08 10 5000 Wet 24.5 9.98 10 2000 Dry 54.85 12.45 15 2000 Air 54.9 9.88 5 2000 Wet 39.23 9.89 5 3500 Dry 34.45 15.89 10 3500 Air 35.67 10.98 15 3500 Wet 39.1 11.45 15 5000 Dry 43.4 13.98 5 5000 Air 22.45 15.98 10 5000 Wet 24.5 10.79 Table 2 Analysis of variance for circularity and tool wear Circularity Tool Wear Source DF F % Contrib.
Also, as palm oil is cheap and easily available, this means a reduction of costs for the manufacturing industries.
Online since: November 2025
Authors: Lintang Aura Dewanthi, Irma Ningtiyas, M. Alvaro Jevera Mulya, Aliffitrah Paksy Naian, Hasna Auliya Aristawidya
The data obtained from the PSQI scores were analyzed using the Wilcoxon Signed-Rank Test (significance level < 0.05) due to the non-random nature of the sampling method, which precluded the use of parametric statistical techniques.
The data was processed with the help of SPSS software.
This is evidenced by a reduction in the severity levels of the subjects, as indicated by a decrease in pre-test to post-test scores measured using the ISI and PSQI scales.
The detailed comparison of the score data is presented as follows.
Data of Measurement Comparison Values Description PreTest Post Test Mean Standar Deviasi Min-Max Mean Standar Deviasi Min-Max ISI 18,17 4,26 13-23 15,33 4,13 10-20 PSQI 15,33 4,37 10-21 10,50 5,01 5-17 Table 1 presents the comparative data of average values from pre-test and post-test measurements of ISI, PSQI, and sleep efficiency.
Online since: August 2014
Authors: Marius Ardelean, Florin Drăgoi, Erika Ardelean, Teodor Hepuț
Data were processed in MATLAB, considering as independent parameters: the argon flow, the bubbling duration and the pressure of argon bubbling and as a dependent parameter: nitrogen removal efficiency.
The following are areas of regression equations obtained from data processing in MATLAB for double correlations.
Analyzing these results, several observations can be made. 1) Processing the same data to determine the triple correlation regarding the dependence between the nitrogen removal efficiency and the vacuuming parameters (duration of treatment, argon pressure and flow) as in the simple correlations allow a comparative analysis of the results; 2) Taking into account the triple correlation coefficient R=0.8952 and S=3.7127 deviation, I consider that this correlation expresses in a very efficient manner the correlation between the three parameters of steel treatment in the LF facility and nitrogen removal efficiency; 3) The regression hipersurface has the saddle point coordinates: Pb=4.4317; Db=554.6995; Tb=83.459 and ηN=37.6433, positioned in the technological fields. 4) The regression hipersurface expressed analytically through a polynomial function of the 2nd degree presented by equation (4), can not be represented graphically (in the space of four dimensions) by successive replacement
) The synthetic slag used for steel desulfurization and deoxidation has a positive influence on nitrogen removal, but given the values ​​of the correlation coefficients (data processed in EXCEL program), the influence is much less significant, to note that the process of nitrogen elimination was studied during treatment in LF, where it was intended that the slag to have characteristics that lead to an advanced deoxidation and desulphurisation. 3) The research conducted revealed that nitrogen removal efficiency can be controlled through the process parameters of bubbling the steel in the L.F. plant (duration, steel temperature, pressure and argon flow).
Drăgoi, Researches regarding the reduction of the gas content from the steel produced end treated on the EBT-FL technological flow, Ph.D thesis, Politehnica Publishing House, Timisoara, 2012; [2] S.
Online since: July 2012
Authors: Zhi Jian Ding, Hong Cai, Hua Bo Yang, Yuan Cao
Introduction The transfer alignment is a technology of alignment an inertial navigation system (called slave INS) using the data supplied by another precise INS (called master INS).
The simulation results are described as follows: Figure 4 is the estimate curve and estimated error curve of fixed misalignment angle, Table 1 is the corresponding data.
The results are expressed as follows: Figure 4 is the estimate curve and estimated error curve of fixed misalignment angle, Table 2 is the corresponding data.
The enhancement of sea condition and the reduction of the measurement noise can make the filter converging faster and more precisely.
(a) (b) Fig.3The estimate and estimate error curve of fixed misalignment angle Fig.4The simulation curve under different sea condition (a) (b) Fig.5  The simulation curve Table 1 The simulation data under different sea condition estimate errors() Confused sea Calm sea x axes -27.2079 -229.3472 y axes 15.9580 -126.5467 z axes 26.8588 -67.5000 Table 2 The simulation data estimate error() High measurement noise High measurement noise x axes 38.8230 15.5682 y axes 19.6587 16.2565 z axes 33.2877 22.2574 References [1] Kain J E, Cloutier I R, Rapid Transfer Alignment for Tactical Weapon Applications, AIAA Guidance, Navigation and Control Conference, 1989
Online since: October 2011
Authors: Wei Lun Wang, Yoshino Hiroshi, Jing Chao Xie
The rate of greenhouse gas (GHG) emissions reduction relative to 1990 to be achieved during the period of 2008 to 2012 was set at 6% for Japan.
In order to propose effective energy saving methods for residential buildings, it is very important to have a national-level database which contains detailed and comparable energy consumption data in households.
Special instruments were used to measure the consumptions of electricity, gas and kerosene, while data loggers with temperature sensors were used to measure indoor air temperatures.
The temperature and humidity data loggers, which were set in the air-conditioned and non-air-conditioned rooms at the height of 1.1m above floor, record the data every 15 minutes.
Energy data of total energy consumptions were analyzed in more detailed.
Online since: December 2016
Authors: Yan Li, Jian Yong Liu, Lian Sheng Ren
A cross-section curve is generated by discrete data, and then a surface is generated by the cross-section curve according to certain rules.
Control points can be calculated by curve or surface data points, and then surface modeling can be completed.
The data format needs to be changed before discrete data are imported into SolidWorks software.
Firstly, control points can be calculated after data points of a blade section are imported into computer.
On the one hand, if the rotation angle is small, the electrode is easily deformed due to insufficient rigidity, and the electrode loss is increased because of the reduction of effective discharge reaction area.
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