Search results

Signal model Assuming the steering vector of desired signal is known, the STAP method, which is based on minimum mean square error, can be obtained by solving the optimization problem as (1) where is the weight vector of STAP，is the steering vector of desired signal, can be written as (2) wheredenotes Kronecker product，the time steering vector，，(is the wavelength, is Doppler frequency, and is speed), spatial steering vector ,(is the spacing interval between array elements, is the azimuth of target), means transpose operation, is covariance matrix of received data, which can be obtained from the received data (3) where , N and K are the number of array elements and coherent processing pulses respectively.
Generally speaking, is usually replaced by its sample variance matrix: (4) The weight vectors of optimal STAP can be obtained : (5) When the received data are processed by the proceeding weights, the ground clutter can be suppressed and the desired signal can pass without distortion.
If the data covariance matrix can be acquired accurately, the weight vector in (5) is not sensitive to the errors.
However, in practical applications， is estimated by the data, the weights are sensitive to the vector error.
Dimension reduction of space-time adaptive processing algorithms and its applications of airborne radar and mobile communication [D].

This is explained by the reduction of tensions’ intensity on the length unit and by the increase of the probability of various material flaws, in case of big dimensions, which both favour the deformation process
Active elements with different shapes of the stamped profile The experimental stand (Fig. 3) includes: a deformation machine (mechanical press PAI 16); a punch with a set of changeable elements; a force transducer U9B (complete bridge resistive transducer); a displacement transducer TIC 35.100 (semi-bridge inductive transducer); an electric tonometer N2321 associated with a multimeter M890C; a data acquisition board NI – USB 6008; a Sony Vaio laptop.
The data acquisition board has been configured for two analogical channels (to acquire and read data Fig. 6 and Fig. 7).
The data is acquired at a frequency of 1000Hz and 4000 recordings, thus resulting in a 4-seconds acquisition time.
Chart of the data acquisition program Shearing tests were carried out with pairs of different active elements, but whose profile lengths were the same (60 mm).

In this research, the fatigue strength of butt weld joints was investigated and evaluated based on the data obtained by use of the ultrasonic fatigue testing technique. 1.
The ultrasonic fatigue technique provides one practical means of generating ultra-high cycle fatigue data[21-22].
Method of Processing Data 2.1 Finite Element Analysis Used for Hot Spot Stress Finite element program (ANSYS 13.0) was used to analyze welded joints.
Results and Discussion The obtained S-N data of welded joint are shown in Fig.4.
The S-N data of base material are also presented in this figure for comparison.

Eventually, ergonomic pruning shears is advice to get better risk reduction [4-6].
The related EMG data was collected during the activities.
The EMG instrument generated the signals and recorded the data.
The EMG instrument generated the signals and recorded the data.
If the test is done in the same day, possibly the EMG data of the second test was affected by the earlier.

The calculated data allowed us to estimate the maximal temperature of SiC substrate during RTP which might not cause defect generation in the SiC wafer.
In this work, the calculated data of the optimized RTP chamber design and the regimes for SiC substrates 100 mm in diameter are presented.
The obtained data were in a good agreement with data in [5].
One of the methods of the temperature gradients and thermal stresses reduction is the introduction of additional light fluxes in order to compensate the energy loss from substrate edges.
Calculated data of the temperature and thermal stress tensor distribution along the radius of SiC substrate for this case are shown in Fig. 3

Table 1 The fabrics treated by different technologies and their corresponding code Sample code Fabrics treated by different technologies 0 Scouring 1 Enzyme treatment 2 Softener treatment The tested data of sample 0, sample 1and sample 2 on bursting, tensile, drape, propensity to surface fuzzing and to pilling, abrasion resistance, and bending were shown in table 2.
Table 2 The tested data Sample code Bursting properties Breaking force [N] Elongation [%] Drape coeffi- cient [%] Fuzzing and pilling [grade] Abrasion resis- tance [turns] Bending length [mm] Streng- th [N] Disten- sion [mm] Warp- wise Weft- wise Warp- wise Weft- wise 0 257 15.42 568.6 476.1 6.1 7.8 58 3 38 6.39 1 212 16.38 478.3 456.8 6.4 8.1 42 3.5 41 5.89 2 232 16.12 498.6 443.5 6.7 8.9 49 2.5 40 6.08 The grade of sample 0, sample 1 and sample 2 on scratchiness were shown in table 3.
The data in the table 2 show that there is a good consistency between bursting properties and tensile properties for the same reason as above.
The data in the table 2 show that there is a good consistency between drape and bending for the same reason as drape.
The pointed tips of hairinesses could be passivated by enzyme treatment and the reduction of fibers crystallinity could lead to a decrease in fibers rigidity [6] .The data show the two modification methods have obvious influence on scratchiness.

Therefore single base stations of CORS system for small and medium-sized cities are taken into consideration to suit for the current development situation, which can be gradually upgraded into a network system with technology development and costs reduction in the future.
The measured points distribution map (7929 is the base station ) is shown in Figure 1, the measured point data and error is shown in table 1: Fig 1 The map of measured point distribution Table 1 Actual measurement data and error distribution Point X Y H precision of X precision of Y precision of H Working mode Solving state gz01 4427925.599 482858.757 -94.528 0.006 0.005 0.008 GPRS fixed solution gz02 4432615.698 483223.67 -89.899 0.009 0.009 0.012 GPRS fixed solution gz03 4437072.208 482741.231 -86.666 0.009 0.011 0.018 GPRS fixed solution gz04 4439006.097 482704.844 -86.159 0.009 0.01 0.016 GPRS fixed solution gz05 4439006.089 482704.849 -86.16 0.009 0.01 0.016 GPRS fixed solution gz07 4440711.348 483040.207 -84.356 0.012 0.01 0.016 GPRS fixed solution gz08 4442601.147 483711.121 -87.335 0.012 0.011 0.018 GPRS fixed solution gz09 4435436.111 482928.772 -90.792 0.009 0.01 0.02 GPRS fixed solution gz10 4431585.956 483214.098 -91.543 0.009 0.009 0.013 GPRS fixed solution gz11
RTK initial measured data and error distribution Is shown in Table 2, the result of External accord accuracy is shown in table 3.
Table 2 RTK initial measured data and error distribution Point X Y H Precision of X Precision of Y Precision of H Working mode Solving state hk02 4424363.262 482680.383 26.000 0.006 0.007 0.011 GPRS fixed solution hk12 4424622.713 482615.557 26.381 0.005 0.005 0.008 GPRS fixed solution hk12-2 4424622.714 482615.55 26.447 0.019 0.017 0.03 GPRS fixed solution hk12-3 4424622.715 482615.561 26.377 0.02 0.017 0.038 GPRS fixed solution hk02-2 4424363.277 482680.389 25.999 0.008 0.008 0.026 GPRS fixed solution hk02-3 4424363.252 482680.375 25.982 0.008 0.007 0.015 GPRS fixed solution Table3 The result of external accord accuracy point Hk02 0.007 0.076 0.000049 0.005776 Hk12 0.051 0.022 0.002601 0.000484 According to the difference measurement point between the known coordinates, according to the formula (1),we can calculate external accord accuracy of X, Y direction : Internal accord accuracy.
[4] Yuanzheng,Li,Jinsong Huang, GPS measurement and data processing: Wuhan University press(2007),In Chinese

Aerospace engineers and designers are very much interested in the data on the effect of rapid heating and rapid loading on the high temperature tensile properties of structural materials.
New data on design-allowable parameters can be evolved from the studies on the effect of rapid heating on structural materials.
Since almost all of the available test data on mechanical properties were applicable to the more conservatively designed structures, it is hoped that this test program will fill the requirement for very high-temperature and high-speed test data.
The reduction in strength and increase in ductility of metallic materials at elevated temperature in conventional testing is due to the combined effect of higher mobility of dislocations, higher concentration of vacancies and the operation of various thermally activated processes, all of which are diffusion controlled.
[2] Alloy Data Sheet , Haynes Inc USA

The analysis of the construction costs covered only the element of separation between external environment and volume indoor as roof, exterior walls and windows (Table 2 and Table 3).[6] Cost data of eco-sustainable building costs are actually incurred by the buyer of the building.
In addition to the data already mentioned, presence of people, the use of electrical equipment and activation of lamps and lighting systems are considered as additional data that are necessary to the simulation.
The sustainable building is occupied, usually by a family of three people using the property as a residence for both winter and summer.[8] In terms of sensible heat and latent heat, is related to the actual residence time and the type of activity performed by each occupant within the building.[9] For the estimation, was built a time table indicating, for each hour of the day, the number of people present in the house, distinguishing between weekdays and Sundays and assigning, at the same time, the type of activity carried out by choosing among those proposals from the table "Rates of Heat Gain from Occupants of Conditioned Spaces" of ISO 7730.[10] The climatic parameters were taken out of the database Meteonorm contained in the application of TRNSYS Weather Data.
In conclusion, the objective of this work is to reduce, even in part, and maintaining high standards of interior climate, the load on the environment through mainly the reduction of consumption of energy[11-12].
The importance of reliable climatic data in the energy evaluation.

From the TEM data the crystallites in the powder particles had the sizes from 3 to 70 nm.
This ratio σ/E can be calculated according to the Hall equation from XRD data [3].
Described calculations of the RCM and sizes of ACS were implemented on experimental XRD data using Powder Cell 2.23 software [4] and a standard database ICSD.
The coefficient of proportionality k is determined by approximation of experimental data set using the method of least squares.
The reliability of approximation of experimental data by Eq. 2 is rather high (above 80%).