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661
Elliptical Orbits Mode Application for Approximation of Fuel Volume Change
Published 2022-03-01“…The calculation of the approximation method will be applied to the measuring book data from the Semarang Metrology Regency specifically for the Pertalite (Fuel Product of Pertamina) buried tank, because the calculation of the gas station is not smooth, it is necessary for a smoother data fitting by considering Residual Square Error (RSS) and Mean Square Error (MSE). The result of this research is the application of EOM(θ) measuring book with elliptical height control produces smaller RSS and MSE compared to using COM, EOM, Least Square degree two and three.…”
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662
Applicability Evaluation of TRMM Satellite Precipitation Data in Jiangsu Province
Published 2023-01-01“…According to the measured data of 167 rainfall stations in Jiangsu Province from 2000 to 2013,the feasibility of the application of TRMM satellite precipitation data (TRMM 3B42 daily precipitation products and TRMM 3B43 monthly precipitation products) in Jiangsu Province is tested and discussed at multiple scales.On the multi-year average scale,the spatial distribution of TRMM precipitation data and measured precipitation data are decreasing from south to north,but the precipitation value of TRMM is higher than the measured one.On the daily scale,the coincidence degree between TRMM 3B42 precipitation data and measured precipitation data is tested by precipitation frequency,missing and empty retrieval rates,and precipitation classification.The missing and empty retrieval rates of Lianyungang and Suqian are lower,thus,in the two places,TRMM inversion data are more accurate to distinguish whether there is precipitation in the actual situation.The relative error of TRMM 3B42 data for measuring light rain is relatively large,while it is small for medium rain,heavy rain,and rainstorm.On the monthly scale,it can be seen that the consistency between TRMM 3B43 data and ground data is overall high by examining the correlation coefficient and the absolute error.The correlation coefficient is the highest in Xuzhou and the north of Lianyungang but slightly lower in the south of Jiangsu and surrounding areas of Hongze Lake.On the annual scale,the variation coefficients between the measured precipitation data and the TRMM precipitation data are compared,and they show the same law that the fluctuation of precipitation is small in the south of Jiangsu but large in the north.…”
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663
Application of Low Crest Factor Modulation in Radio Communication Systems
Published 2025-03-01“…Radio communication systems for small Earth-orbiting objects possess a number of specific features associated with their application area, thus being expected to meet conflicting requirements. …”
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664
Analysis and Application of Grey-Markov Chain Model in Tax Forecasting
Published 2021-01-01“…Based on the summary and analysis of previous research works, this paper expounds the current research status and significance of tax forecasting, elaborates the development background, current status, and future challenges of the Grey-Markov chain model, introduces the basic principles of grey forecasting model and Markov chain model, constructs the Grey-Markov chain model, analyzes the model’s residual error and posteriori error tests, conducts the analysis of Grey-Markov chain model, performs grey forecasting model construction and its state division, implements the calculation of transition probability matrix and the determination of tax forecasting value, discusses the application of the Grey-Markov chain model in tax forecasting, and finally carries out a simulation experiment and its result analysis. …”
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665
Simultaneous optimized orthogonal matching pursuit with application to ECG compression.
Published 2025-01-01Get full text
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666
DFRFT: A Classified Review of Recent Methods with Its Application
Published 2013-01-01Get full text
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667
On estimation of the quadratic hazard rate model parameters: Simulation and application
Published 2025-05-01“…The precision and consistency of point and interval estimates are assessed using four performance metrics: root mean squared error, mean relative absolute bias, average confidence interval length, and coverage probability. …”
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668
Automated Calibration of SWMM for Improved Stormwater Model Development and Application
Published 2025-05-01“…This tool can employ either a single-objective or multi-objective approach to calibrate a SWMM model by minimizing the error between prediction and observed values. This tool uses performance metrics including Nash-Sutcliffe Efficiency (NSE), Percent Bias (PBIAS), and Root Mean Square Error (RMSE) Standardized Ratio (RSR) for both single-event and long-term continuous rainfall-runoff processes. …”
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669
Research and application of RFID location algorithm based on reference tags
Published 2010-01-01Get full text
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670
APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO PREDICT RAILWAY SWITCH DURABILITY
Published 2018-12-01Get full text
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671
Application of Improved K-Means Algorithm in Collaborative Recommendation System
Published 2022-01-01Get full text
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672
Recognition and Application of Wear Detection BTA Deep Hole Drilling
Published 2018-10-01Get full text
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673
Comparative Application of Time-Frequency Methods on Strong Motion Signals
Published 2021-01-01Get full text
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674
Application of Upper Bound Analysis and Taguchi Method In Aluminium Extrusion
Published 2025-07-01Get full text
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675
Enhanced Multistage Differential Transform Method: Application to the Population Models
Published 2012-01-01Get full text
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676
Multi-Parameter Step-by-Step Inversion of Resistivity Anisotropy and Application
Published 2023-04-01Get full text
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677
Advances in Research and Application of Techniques for Measuring Photosynthetically Active Radiation
Published 2025-05-01“…The technical principles, sources of error, and practical applications of commercial PAR sensors are presented at the next section. …”
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678
A Knowledge Analysis of an Engineering Application Related to Sustainable Development
Published 2025-05-01Get full text
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679
Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets
Published 2012-01-01Get full text
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680