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Analytic Optimization of Implemented Discrete Time for Kalman Filter during Stationary North-Finding
Online since: February 2014
Authors: Hua Peng Yu, Wen Qi Wu, Ju Liang Cao
Consequently, the measurement update interval (MUI) may be limited by the rate at which measurements are available, by the data processing power of navigation computer, or by the correlation time of the measurement noise [2].
For the reduction of computation load, numerical values of some parameters in the modeled system are predetermined before applying the analytic approach.
To confirm verification accuracy of the proposed analytic method, sample time of the INS measured data is 2 ms.
For the reduction of computation load, numerical values of some parameters in the modeled system are predetermined before applying the analytic approach.
To confirm verification accuracy of the proposed analytic method, sample time of the INS measured data is 2 ms.
Online since: December 2012
Authors: Lian Guang Liu, Chun Hong Zhao, Ying Chen, Zi Fa Liu
(8)
where C(s) is load reductions of the states (MW)
The outage data and parameters of conventional generators,transformers,lines and other components in the system are shown in [14].
There are 300 WTGs in the wind farm, every WTG is same type and install capacity is 1MW.The cut-in,rated and cut-out wind speed are respectively 3m/s,12m/s and 25m/s.The wind speed data is from a wind farm in Hami.
The outage data and parameters of conventional generators,transformers,lines and other components in the system are shown in [14].
There are 300 WTGs in the wind farm, every WTG is same type and install capacity is 1MW.The cut-in,rated and cut-out wind speed are respectively 3m/s,12m/s and 25m/s.The wind speed data is from a wind farm in Hami.
Online since: April 2013
Authors: Zuhailawati Hussain, Shamsul Baharin Jamaludin, Zainal Arifin Ahmad, Saidatulakmar Shamsuddin
Introduction
Focus on cost reduction in producing advanced composites systems has increased and leads to an interest in Fe based matrix composites.
The recorded spectrums were matched in accordance to the data from the ASTM Powder Diffraction File.
All the weight loss data were converted to volume loss using the measured densities.
The recorded spectrums were matched in accordance to the data from the ASTM Powder Diffraction File.
All the weight loss data were converted to volume loss using the measured densities.
Online since: October 2013
Authors: Qin Bing Li, Dan Ni Luo, Yu Hu
Based on the comprehensive analysis of age, the temperature control and on-site data of concrete,when pouring concrete lift B3, the temperatures of concrete lifts are set as follows: the temperatures of lifts A1~A2 and B1~B2 are set as 20oC; the temperatures of lift B3 is set as 25oC; when the allowable the height differences between adjacent monoliths are 12m, 15m, 18m, 21m, 24m, 27m and 30m, the temperatures of lift A3 are set as 21oC, 20.5oC, 20oC, 19.5oC, 19oC, 18.5oC and 18oC, respectively.
A large number of monitoring data of concrete autogenous volume deformation were obtained from the non-stress meters embedded in the Xiluodu arch dam.
With the increase of the allowable height difference, the ratio of vertical to horizontal deformations of transverse joints increases significantly, which results in reduction of the minimum aperture of transverse joints.
A large number of monitoring data of concrete autogenous volume deformation were obtained from the non-stress meters embedded in the Xiluodu arch dam.
With the increase of the allowable height difference, the ratio of vertical to horizontal deformations of transverse joints increases significantly, which results in reduction of the minimum aperture of transverse joints.
Online since: January 2013
Authors: Wei Xu, Li Jing Gao, Feng Jiang, Guo Min Xiao
The load ratio and expulsion ratio data of the γ-Al2O3/CM prepared by the slurry with different density of alumina sol were shown in Fig. 2.
Fig. 1.The relation of solid content in slurry to the load ratio of γ-Al2O3 with different coating cycles (left) Fig. 2.The load ratio and expulsion ratio data of γ-Al2O3 coating with different density of alumina sol (solid content: 40%; right) Transesterification.
When the results of two consecutives runs were compared, a reduction in the FAME yield about 20-40 % can be observed.
Fig. 1.The relation of solid content in slurry to the load ratio of γ-Al2O3 with different coating cycles (left) Fig. 2.The load ratio and expulsion ratio data of γ-Al2O3 coating with different density of alumina sol (solid content: 40%; right) Transesterification.
When the results of two consecutives runs were compared, a reduction in the FAME yield about 20-40 % can be observed.
Online since: March 2015
Authors: De Min He, Jun Guan, Hao Quan Hu, Qiu Min Zhang, Fan Nie
Chromatographic peaks were identified by means of NIST mass spectral data library.
This may caused by pyrolysis for its mass reduction.
Concluded from the data, pyrolysis is a useful way for bitumen recovery and upgrading of oil sand.
This may caused by pyrolysis for its mass reduction.
Concluded from the data, pyrolysis is a useful way for bitumen recovery and upgrading of oil sand.
Online since: April 2015
Authors: Yury Klochkov, Ljubisa Papic, Irina Vasilieva, Albina Gazizulina
Sufficiently high blade vibration frequencies result in rapid accumulation of number of stress cycles and therefore in blade failure, especially if there are some factors of fatigue resistance reduction: corrosive or erosive damages, dints, material defects, structural stress raisers, residual stress in material surface layers etc. [2; 3].
Direct measurement of blade dynamic stress in an operating turbo-machine (for instance, by strain-gage testing) allows obtaining reliable data, but such procedures are quite difficult and labour-intensive [4].
, we obtain (5) where On multiplying equation (1) by х3 and integrating within the same limits, we obtain (6) where (7) Since we are developing new technique for experimental data processing, we can select those geometrical parameters of test samples which simplify experiment and its analysis (with necessary measurement accuracy remaining).
Direct measurement of blade dynamic stress in an operating turbo-machine (for instance, by strain-gage testing) allows obtaining reliable data, but such procedures are quite difficult and labour-intensive [4].
, we obtain (5) where On multiplying equation (1) by х3 and integrating within the same limits, we obtain (6) where (7) Since we are developing new technique for experimental data processing, we can select those geometrical parameters of test samples which simplify experiment and its analysis (with necessary measurement accuracy remaining).
Online since: October 2013
Authors: Hong Xia Zhang, J.H. Zhu, C.H. Ge, C.Y. Zhu, J.T. Li, J. Yang
Through the test and data analysis of fabric odor removal, hygroscopic, heat accumulation function , various functions effects of the coffee yarn knitted fabrics under different fiber proportions has been discussed,it is important for the development of multi-effects and good wear ability of knitted fabrics.
Ammonia reduction rate calculation formula is: K = (a-b) / a ( K is ammonia decrease rate , a is the initial ammonia concentration in tank, b is the ammonia concentration 12 hours later).
Summary 1) For Fabric odor removal performance, it shows from the experimental data, along with coffee yarn content increase from 30% to 40%, ammonia removal rate become lager from 30.7% to 36.6%, When coffee yarn content is 40%, the odor removal performance of fabric is best, odor removal rate reach to 36.6%. 2) With the increase of coffee yarn content, the fabric hygroscopic tended to increase, absorbent quick-drying performance enhance.
Ammonia reduction rate calculation formula is: K = (a-b) / a ( K is ammonia decrease rate , a is the initial ammonia concentration in tank, b is the ammonia concentration 12 hours later).
Summary 1) For Fabric odor removal performance, it shows from the experimental data, along with coffee yarn content increase from 30% to 40%, ammonia removal rate become lager from 30.7% to 36.6%, When coffee yarn content is 40%, the odor removal performance of fabric is best, odor removal rate reach to 36.6%. 2) With the increase of coffee yarn content, the fabric hygroscopic tended to increase, absorbent quick-drying performance enhance.
Online since: November 2012
Authors: P.M.G. Nambissan, Kunal B. Modi, Vinay K. Lakhani
Data analysis was done by PALSfit program [3].
CDBS data were analyzed using the procedure described by Asoka-Kumar et al [4].
For example, looking at the curves of samples with x = 0.0 and 0.1, one can infer from the large reduction of the peak intensity that annihilation events are significantly reduced, which in turn points to positron trapping in larger defects and larger lifetime prior to annihilation and is consistent with the increase of t2 at this stage.
CDBS data were analyzed using the procedure described by Asoka-Kumar et al [4].
For example, looking at the curves of samples with x = 0.0 and 0.1, one can infer from the large reduction of the peak intensity that annihilation events are significantly reduced, which in turn points to positron trapping in larger defects and larger lifetime prior to annihilation and is consistent with the increase of t2 at this stage.
Online since: June 2014
Authors: Yung Chuan Huang, Chao Cheng Chung, Chang Ling Miaw, Tien Jen Lo, Chung Yi Chung
The data were used descriptive statistics analysis quantitatively describing the students’ basic attributes.
Transportation CO2 emissions account for 1.06 kg/person, or 48% subject daily produced; food consumption CO2 emissions make up 1.01 kg/person, 45% daily produced per subject; energy usage CO2 emissions is 0.20 kg/person of 9% carbon footprint; recycling can reduced emissions of CO2, average 0.05 kg of CO2 emissions reduction per day (Fig. 1).
Through questionnaire survey and school administration-related carbon footprint data collected to access the carbon footprint information.
Transportation CO2 emissions account for 1.06 kg/person, or 48% subject daily produced; food consumption CO2 emissions make up 1.01 kg/person, 45% daily produced per subject; energy usage CO2 emissions is 0.20 kg/person of 9% carbon footprint; recycling can reduced emissions of CO2, average 0.05 kg of CO2 emissions reduction per day (Fig. 1).
Through questionnaire survey and school administration-related carbon footprint data collected to access the carbon footprint information.