scholarly journals A new method of multi-beam real-time attitude compensation data processing

2020 ◽  
Vol 206 ◽  
pp. 01014
Author(s):  
Zhang Yonghou ◽  
Xiao Fumin ◽  
Jin Shaohua ◽  
Bian Gang
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Traditional Method ◽  
Correction Method ◽  
New Method ◽  
Determination Method ◽  
Error Correction Method ◽  
Compensation Error ◽  
Specific Determination ◽  
Processing Accuracy

The traditional method for processing multi-beam real-time attitude compensation data did not consider the influence of attitude compensation error, which left attitude residual in data. So a new method for processing multi-beam data of real-time attitude compensation was proposed. By studying the nature of attitude compensation error, the calculation method of systematic attitude compensation error was put forward. The concept of correction threshold was introduced and the specific determination method was given. Finally, combining with the principle of real-time attitude compensation, a systematic attitude compensation error correction method, which makes use of a tracking algorithm considering attitude to make secondary attitude correction, was proposed, and the specific processing flow was given. By comparing the data processing accuracy of the tradition method and the new method, the results showed that the new method can effectively reduce the influence of systematic attitude compensation error, and significantly improve the data processing accuracy.

scholarly journals Capturing Associations and Sustainable Competitiveness of Brands from Social Tags

2019 ◽  
Vol 11 (6) ◽  
pp. 1529 ◽  
Author(s):  
Xuan Gong ◽  
Yunchan Zhu ◽  
Rizwan Ali ◽  
Ruijin Guo
Keyword(s):  
Social Media ◽  
Real Time ◽  
Survey Data ◽  
Automobile Industry ◽  
Traditional Method ◽  
Predictive Power ◽  
Determination Method ◽  
Brand Associations ◽  
Social Tags ◽  
Brand Competitiveness

With the explosion of social media, consumers’ minds have become important assets in brand competitions. Determining a brand’s competitive structure based on consumers’ desires is particularly important to effectively establish a brand and maintain sustainable competitiveness. The traditional methods of determining brand competitiveness are costly and time-consuming. In this study, we propose an efficient, systematical, highly automated, and real-time method to determine brand competitiveness based on consumers’ brand associations with the brand’s social tags. Using a set of 45 brands in the automobile industry and around 50,000 social tags, we compared our brand competitiveness determination method with data provided by Interbrand and directly elicited survey data, finding a significant correlation and a better predictive power in consumers’ perceived brand competitiveness than the traditional method. Our proposed method enables managers to create and maintain sustainable brand advantages in consumers’ minds.

scholarly journals Error correction by Reed–Solomon codes using its automorphisms

2021 ◽  
Vol 66 (1) ◽  
pp. 110-116
Author(s):  
V. A. Lipnitsky ◽  
S. I. Semyonov
Keyword(s):  
Error Correction ◽  
Galois Field ◽  
Correction Method ◽  
New Method ◽  
Group Of Automorphisms ◽  
Rs Codes ◽  
Reed Solomon Codes ◽  
Rs Code ◽  
Error Correction Method ◽  
Joint Group

The article explores the syndrome invariants of АГ-group of automorphisms of Reed–Solomon codes (RS-codes) that are a joint group of affine and cyclic permutations. The found real invariants are a set of norms of N Г-orbits that make up one or another АГ-orbit. The norms of Г-orbits are vectors with 2 1 Cδ− coordinates from the Galois field, that are determined by all kinds of pairs of components of the error syndromes. In this form, the invariants of the АГ-orbits were cumbersome and difficult to use. Therefore, their replacement by conditional partial invariants is proposed. These quasi-invariants are called norm-projections. Norm-projection uniquely identifies its АГ-orbit and therefore serves as an adequate way for formulating the error correction method by RS-codes based on АГ-orbits. The power of the АГ-orbits is estimated by the value of N2, equal to the square of the length of the RS-code. The search for error vectors in transmitted messages by a new method is reduced to parsing the АГ‑orbits, but actually their norm-projections, with the subsequent search for these errors within a particular АГ-orbit. Therefore, the proposed method works almost N2 times faster than traditional syndrome methods, operating on the basic of the “syndrome – error” principle, that boils down to parsing the entire set of error vectors until a specific vector is found.

Aerocraft Real-Time Measured Data Processing Method Based on Combined Filtering

2014 ◽  
Vol 716-717 ◽  
pp. 983-986
Author(s):  
Yan Li ◽  
Hua Jun Liu ◽  
Guang Lang Bian ◽  
Miao Hui Liu
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Measured Data ◽  
Control Procedure ◽  
Time Data ◽  
The Real ◽  
Data Processing Method ◽  
Real Time Data ◽  
Processing Accuracy ◽  
Real Time Data Processing

To solve the problems that resulted from using a certain filtering method alone to process the real-time data measured on aerocraft, a new method combined filter and Savitzky-Golay smoothing filter is proposed to process the real-time measuring data, which could classify and segment the measured data of aerocraft trajectory according to its priority and time domain. It could provide useful principle and control procedure of combined filters on different conditions to improve the filter efficiency, and the combined filtering results meet the needs of aerocraft real-time data processing accuracy in different measured sections.

Real-time error correction method combined with combination flood forecasting technique for improving the accuracy of flood forecasting

2015 ◽  
Vol 521 ◽  
pp. 157-169 ◽  
Author(s):  
Lu Chen ◽  
Yongchuan Zhang ◽  
Jianzhong Zhou ◽  
Vijay P. Singh ◽  
Shenglian Guo ◽  
...  
Keyword(s):  
Error Correction ◽  
Real Time ◽  
Flood Forecasting ◽  
Correction Method ◽  
Time Error ◽  
Error Correction Method

scholarly journals A New Method to Determine the Lower Limit of Reservoir Physical Properties—Corrected Minimum Flow Pore-throat Radius Method

2021 ◽  
Vol 290 ◽  
pp. 03004
Author(s):  
Jinyou Dai ◽  
Lixin Lin ◽  
Rui Wang
Keyword(s):  
Physical Properties ◽  
Lower Limit ◽  
Traditional Method ◽  
Oil And Gas ◽  
Correction Method ◽  
New Method ◽  
Pore Throat ◽  
Throat Radius ◽  
Minimum Flow ◽  
Gas Accumulation

The lower limit of reservoir physical properties is an important parameter for identifying reservoirs and determining effective thickness in reserves evaluation, and is also an important basis for selecting perforated test intervals in oilfield exploration and development. There are many methods to determine the lower limit of reservoir physical properties, and the minimum flow pore throat radius method is one of the commonly used methods. The method uses 0.1μm as the minimum flow pore-throat radius, and uses this to calibrate the lower limit of reservoir physical properties. However, according to the water film theory, the minimum radius of the reservoir's flowing pore throat is not a definite value, but varies with the displacement dynamics. Therefore, there is no exact basis for using 0.1μm as the minimum flow pore-throat radius, so it needs to be corrected. To this end, a new method for determining the lower limit of reservoir physical properties—the corrected minimum flow pore-throat radius method is proposed. The correction method comprehensively considers the factors of oil and gas accumulation dynamics, and determines the lower limit of reservoir physical properties by obtaining the minimum flow pore-throat radius value suitable for oil and gas accumulation dynamics. A case study of Chang 63 reservoir in A Oilfield shows that the minimum flow pore radius of oil and gas determined by the correction method is 0.08 μm, and the lower limit of reservoir physical properties (porosity 9.1%, permeability 0.117 × 10-3 μm2). The traditional method has a minimum flow pore-throat radius of 0.1 μm and a lower limit of reservoir physical properties (porosity of 9.8% and permeability of 0.133 × 10-3 μm2). Due to full consideration of the impact of oil and gas accumulation dynamics, the minimum flow pore-throat radius determined by the correction method is more reliable than the traditional method, and the lower limit of the reservoir physical property calibrated by it has practical significance.

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