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Drag Coefficient Identification from Flight Data via Optimal Observer Rongjun Yang 1, Yao Ye2 1Institute of Systems Engineering, China Academy of Engineering Physics, Mianyang, China 2School of Economics and Management, Nanjing University of Information Science and Technology E-mail: rongjun802@163.com Keywords: parameter identification; flight data processing; Kalman filter; smoother.
For effectively using flight test data to extract drag coefficient, an optimal observer based on parameter estimation technique is proposed.
Radar measurement data processing utilizes UKF and URTSS respectively, to reconstruct the flight states, which are compared with the actual parameter.
Chapman-Kirk reduction of free-flight range data to obtain nonlinear aerodynamic coefficients.
Trajectory reconstruction using radar measured data.

In this paper, the energy loss indicators reduction analysis method is proposed based on rough sets theory using the SIS data of power plant.
Data qcquisition should be prior to reduction while the completeness of the data shoulb be ensured.
To discretization the data.
Reduction.
These data are used as the original data to operate the energy loss indicators rough set analysis.

The load cell sensor will send data about the reduction in the weight of the drying material to the microcontroller for further processing.
Load Cell Data Eror.
DS18B20 Data Error.
Table 5 shows the average data error of 3 temperature sensor data.
The average data error rate is 0,099% for load cell data and 0,28% for temperature sensor data.

Research of super capacitance in automobile industry Yu long Zhang a, Yin Shan Wang b, Ze Xu Wu c Tianjin University of Technology and Education Automotive and Transportation Tianjin 300222 azyl41132519830@163.com, byinsanwang@yahoo.cn, cwuzexu2007@126.com Keywords: super capacitor; Vehicle power supply; Energy recycling; Hybrid mode; Energy conservation and emission reduction Abstract: this article introduces the current car which is in circumstance of regulations more and more strict and energy increasingly tense, super capacitor car have the significance of realizing energy conservation and emissions reduction.
Focus on the analysis of the super capacitor car in different conditions, energy flow and power distribution process in the hybrid model, which provides theoretical basis for super capacitance car realizing to energy conservation and emissions reduction.
Also in 2009, from skin YouCi trust foundation data of clean energy investment, China is leading the world more than us $18.6 billion to $34.6 billion.
The three way dynamic collaborative orderly job and satisfy car complicated condition needs , achieving energy saving and emission reduction.
Conclusion This article mentioned the severe requirements of car from the energy and the regulations for energy conservation and emissions reduction, countries increase the capital investment in the development of new energy vehicles, This suggests that car with energy conservation and emission reduction have broad prospects.

Finite Element Model updating for Damage Localisation and Quantification using Experimental Modal Data A.
The identified experimental modal data (eigenvalues and mode shapes) serve to update the underlying finite element model.
Young's modulus, cross-sec- tional heights) in such a way that the differences of the analytical modal data with respect to the identified experimental modal data are minimised.
In general, the eigenfrequencies are determined more precisely than the mode shapes and the modal data associated with the lower eigenfrequencies ("slow" modal data) are more accurate than the "fast" ones.
An eigenvalue decomposition of the lower left sub-matrix ( SM 1− − ) yields the undamped modal data.

Among all those methods, reduction remains the primary method for iron recovery from BFD.
Results and Discussion Analysis of the XRD data in Figure 1 observes a significant change in the phase structure of the sample with 30% BFD (30:70) during the reduction.
After reduction at 1000 °C (as signed 30:70 RD 1000 ºC), the intensity of the Fe₃O₄ and FeO peaks decreases, indicating the reduction of iron oxides, while a peak for metallic iron (Fe) appears.
XRD data in Figure 2 for four samples with different BFD:fine ore ratios (0:100, 10:90, 20:80, and 30:70) show a gradual reduction of iron oxides as the BFD ratio increases.
XRD data in Figure 3, analyzing samples with different BFD:fine ore ratios (0:100, 10:90, 20:80, and 30:70) reduced at 1100ºC, show a clear change in the phase structure.

Along with reduction of transit performance deploys the company in recent time significantly more energy effective power units for transit of natural gas.
The advantage of remote transition of data lies in data transfer from distant facilities in real time, observation of machine operation and it evaluation. [3] One of the most important features of on-line monitoring is recording of all operation states that means start, turn off or change of rotating regime.
Automated measurement system (AMS) and it technical measurement devices, technical equipment designed for data processing, data evaluation and information means must accomplish operation characteristics according to state-of-art of continual measurement technology, record the processed results and data in digital form, assure the alerting of its failure states and drop-outs and assure recording of at least 72 hours of operating data.
Following relations are used in these calculations: NOx (mgm3)=(NOppm+NO2ppm)∙2,0527 (4) CO (mgm3)=COppm∙1,2497 (5) NOxr (mgm3)=NOx (mg/m3)∙20,95-O2ref/20,95-O2mer (6) COr(mgm3)=CO (mg/m3)∙20,95-O2ref/20,95-O2mer (7) O2 ref - oxygen reference[ 15% ] O2 mer - measured oxygen The most essential condition of automated monitoring system operation is regular check and calibration to assure confidence of measured data.
The particular turbine power reduction in this alternative is realized by automated system, using feedback of mechanical power and NOx concentration in combustion gases, controlled by automated monitoring system.

The onset potential of the ORR current was over 1.0 V vs RHE, and the efficiency of 4-electron reduction was almost 100%.
INTRODUCTION Platinum is the best-known oxygen reduction reaction (ORR) catalyst for polymer electrolyte fuel cells (PEFC) because of its high ORR activity and electrochemical stability.
The lattice parameters and the crystallite sizes of the pyrochlore PRMn samples were determined by the XRD-pattern-processing program JADE ver. 5.0 (Materials Data, Inc.).
RHE, the efficiencies (Eff4) of 4-electron reduction of at 0.9 V vs.
The onset potential of the ORR current was over 1.0 V vs RHE, and the efficiency of 4-electron reduction, almost 100%.

As an effective approach to improve the security of data, data backup and disaster recovery is very important for emergency management systems.
The model of disaster recovery was based on structured programming to closely reflect the theory of data duplication and data protection.
Data protection technologies Over the past 30 years, data protection has evolved as business needs changed.
Continuous Data Protection (CDP) is a storage system in which all the data in an enterprise is backed up whenever any change is made.
The compression and advanced bandwidth reduction algorithms in the appliance, deployed in clustered configurations, dramatically reduce WAN bandwidth consumption up to 90%, saving associated communication costs.

The EQCM data were represented as plots △m versus E.
The EQCM data were represented as graphs of △m versus E.
So the optical data analyzed by the software WVASE32 used for fitting is among wavelength range 400–900nm.
By fitting data from ellipsometric measurements with a single-layer model, the thickness of Mn layers was obtained (Fig. 6c).
The EQCM data were represented as plots △m versus E.