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Since many definitions for the corner are illustrated where the detection accuracy is affected by the data imperfections as geometric and radiometric distortions, so the target of the detection process is to collapse the similar features in spite of these imperfections.
Latterly, some adjustments have been developed as using adaptive weighted filtering process having a high computation cost with more complexity to deal with variations leading to losing of important data [1-12].
This process will be performed for x and y directions independently providing the frequency data.
Rs=det(M)-k(trace(M))2 (14) An enhancement over Harris detector was proposed allowing utilization for color data [2, 6-10].
Specifications of Working on Data set Working on data set Pair No. (1) (2) (3) (4) Image Type Simulated Real Sensor - ERS 1, 2 ERS 1, 2 Terra-X Location - Part of China Las Vegas, USA Aswan Dam, Egypt Pixel Shift 0, 1 0, 0 199, 6 60, -40 Data type Complex Amplitude Complex Amplitude Size 1502*1148 9000*2500 3000*3000 1800*3600 Table 2.

It can not only realize efficient data transmission but also conquer multi-path effect, frequency selective fade as well as narrowband interference[7].
However, the performance enhancement is on the price of data transmitting rate’s reduction as well as the increase of coding redundancy.
Data input rate of Complementary Code Keying module is 11Mbps and RS (255,239) adopted as the channel code can correct symbols at most.
Accordingly, the Complementary Code Keying system with RS (255,239) module can not only achieve impressive error control performance but also attain a high data rate of 10.307Mbps.
Simulation results demonstrated that RS (255,239) can effectively reduce the error probability of system to promote the reliability of data transmission as well as ensure the system’s high data rate which is the key advantage of Complementary Code Keying system.

The administrator can through the management interface is easy to use and view these data.
First need a car to the control center to register and get a car card not al other vehicles, at this point, the control center will be the vehicle to login into the database, to become a master data, and the identity of the card and the associated code.
Reset circuit can meet resistance capacity reduction or directly through the controller control, low level effectively, if dangling electric automatic reset by default. 5.
Electronic tag car card installed on vehicles, on the one hand, as a symbol of wireless electronic license plate vehicle status, on the other hand, is responsible for acquisition of vehicles running data transmitted to the card reader.
This solution effectively to management department to provide the real vehicle data, so as to realize the fully electronic vehicle management monitoring.

The work here exposed, is framed in the line of development of slight materials with good properties, used to reduction of weight in different components for the aviation and automotion where very high temperatures are the main factor.
Table 1 shows the basic cutting data investigated during the experimental turning tests.

In the AEWMA-Max method with λ =0.1 and L=2,642, 26 data were out-of-control and the number of data controlled was 64.
In the AEWMA-Max method with λ =0.2 and L=2.934, the uncontrolled data is 16 and the number of controlled data is 64.
In the AEWMA-Max method with λ =0.3 and L=3.092, the data out of control is 22, and the amount of data in control is 53.
AEWMA-Max with λ =0.4 and L=3.212, the uncontrolled data is 3 and the number of controlled data is 87.
The temperature data on shrimp farms CV Air Mas Jaya vannamei tend to decrease in value, then the Max-Chart control chart is not appropriate because the amount of data out-of-control too much and too little data in-control, while the Aewma-Max control chart matches the best combination of parameters with λ =0.1 and L = 2.642, with 26 data out-of-control and 64 data in-control.

The factors that led to discrepancy in the two groups of data were discussed.
In conventional practice and operation nowadays, cathodic protection (CP) potentials are obtained normally by means of in-situ measurement which is costly and inconvenient, especially for offshore or buried structures, or merely by means of estimations based on recommended empirical formulas and data in generally accepted standards which can only describe CP system in outline and take common factors into account.
The electrochemical reactions of CP can be visualized in the form of an electrochemical cell which consists of three components: the anode where the oxidation (corrosion) takes place, the cathode that is the site of the reduction and is electrically connected to the anode, and the electrolyte that is the medium surrounding the anode and cathode.
Verification Experiment To verify the validity and accuracy of BEM CP modeling, a test pool full of sea water and a real miniature rig jacket installed with a piece of sacrificial anode was built so as to compare computer analysis results with experimentally measured data.

Furthermore, a lack of data on the fracture toughness causes difficulties in evaluating the structural integrity of existing steel structures.
If material properties can be estimated through nondestructive inspection without any “cutting-out”, there is no need for facility suspension that causes substantial indirect cost, and significant reduction of maintenance costs can be expected.
In practice, though all design and standard specification require the definition of tensile properties for a material, these data are only partly indicative of inherent mechanical resistance to failure in service.
In addition, given the historical perspective about 40 years use of high tensile strength steels for infrastructures, the applicability of our previous and present studies should be examined for these materials by accumulating various field data.

The results showed that, the optimal configuration parameters could be obtained by orthogonal test of self-suction spraying with pressure gas and water, to provide data support for the design of efficient spraying device.
A compressed air flow B nozzle aperture C diffusion Angle D bronchia-nozzle distance performance index range (m) SMD (μm) 1 2 3 4 5 6 7 8 9 1 1 1 2 2 2 3 3 3 1 2 3 1 2 3 1 2 3 1 2 3 2 3 1 3 1 2 1 2 3 3 1 2 2 3 1 1.50 2.0 1.85 2.00 1.86 2.40 2.35 2.44 2.32 71.1 53.9 66.4 68.2 39.9 63.0 73.0 44.7 58.3 Test result and analysis The test data in table 3 was analyzed, the average level of various factors Kij was obtained, corresponding to different factors of poor Ri (see table 3).
Table 3 Data analysis Program A B C D range (m) KIj 5.35 5.85 6.34 5.68 K2j 6.26 6.30 6.32 6.75 K3j 7.11 6.57 6.06 6.29 K1j 1.78 1.95 2.11 1.89 K2j 2.09 2.10 2.10 2.25 K3j 2.37 2.19 2.02 2.10 Rj 0.59 0.24 0.09 0.36 SMD (μm) KIj 191.40 212.30 178.80 169.30 K2j 171.10 138.50 180.40 189.90 K3j 176.00 187.70 179.30 179.30 K1j 63.80 70.77 59.60 56.43 K2j 57.03 46.17 60.13 63.30 K3j 58.67 62.57 59.77 59.77 Rj 6.77 24.60 0.53 6.87 Complex (L/SMD) KIj 86064 82615 113778 107508 K2j 114038 138309 106226 107393 K3j 126572 105750 106670 773 K1j 28688 27538 37926 35836 K2j 38013 46103 35409 35798 K3j 42191 35250 35557 37258 Rj 13503 18565 2517 1460 Levels mean reflected the level of the various factors affect index .
(3) Diffusion angle When angle changed from 30 to 45 degrees, the spray particle size increased, the effective range was almost the same as significant reduction in the comprehensive factors; but from 45 degrees to 60 degrees spray particle size was reduced, effective range fell while the comprehensive factors raised slowly which suggests that the good was less than 30 degrees

The result of the calculating case shows that the calculated data accord with the experimental data.
where, cp : the absolute pressure at the outlet of the ejector, sp : the absolute pressure at the inlet of the ejector, sT : the temperature at the inlet of the ejector, 0C : the reduction factor which is used to correct the error caused by some simplification in the theoretical derivation, usually, C0 =0.3~0.5, sρ : the gas density in the conditions of the pressure sp and the temperature sT (Unit: kg/m3), sG : the mass flow at the inlet of the ejector (Unit: kg/s), sQ : the suction flow of the ejector (Unit: m3 /s). 3.4 Time of water suction The total volume of the air is τ, which is sucked by the ejector from the water suction pipe, the pump and some of the pressure pipes.

In order to provide a reference for decision-making of calamity reduction and improvement project, some preventive measures on them, including monitoring of river hydrology, morphology near bank, and hydrologicalgeology, and inspection and investigation of outward indication of bank and human activity, are presented by means of analysis on above-mentioned aspects.
Measured data was very lack of because little monitors on actual failures were performed.
Further, many water level and discharge and rainfall data provided by local hydrological or weather information stations also can be used