TRANSMISSION ACCURACY OF SYNCHRONOUS BELT BASED ON RECURDYN by GUO JianHua, MENG QingXin, YU Xin, HU QingMing

“…Using the mechanism of the tooth climbing of the belt,the mathematical model of the transmission error is established,reveals the transmission error of the synchronous belt is a function of the pulley pitch angle.Establish the virtual prototype dynamic transmission simulation model of synchronous belt based on Recur Dyn,through collect data and numerical analysis that mesh point with climbing tooth trace-Archimedes spiral,simulation results are consistent with the experimental results,to verify the accuracy of the simulation analysis.And compare the transmission accuracy of the new profile and L type trapezoidal tooth synchronous belt.The results showed that the transmission error of the new profile synchronous belt（Δθ =0.932mrad） less than L type trapezoidal toothed（Δθ = 1.615mrad）,shows that the capacity anti climbing tooth of the new profile synchronous belt is stronger than L type trapezoidal tooth,the tooth design of new profile synchronous belt is more reasonable.…”
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Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences by Anwar Fitrianto*, Wan Zuki Azman Wan Muhamad, Suliana Kriswan, Budi Susetyo

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The synchronization of the orthogonal frequency division multiplexing system by R. A. Zhernosekov, V. T. Pershin

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The Nexus Between Health and Economic Growth: Empirical Evidence from Indonesia by Mochammad Yusuf, Avi Budi Setiawan

“…This study aims to determine the relationship between health variables such as healthcare expenditure, human development index, life expectancy, and mortality on economic growth with the Indonesian case study as the object of analysis. This study uses secondary data from Indonesia in the period 1985-2021 using the Engle-Granger Error Correction Model and Granger Causality. …”
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Comparative Study of Blood Hemoglobin between Calculated Method through ABG Analyzer and Impedance Method through Fully Automated Blood Cell Counter by Arvi V Mehta, Sapna P Patel, Hina B Baraiya, Piyush B Tailor

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Niveaux d’acquisition des lycéens de la commune iv du district de Bamako en philosophie et la correction de leurs erreurs by Seydou Soungalo COULIBALY

“…The methodological approach recommended for this study combines the use of an interview guide, a questionnaire and a philosophy test. The data collected was analysed using SPSS software and content analysis. …”
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Application of Log-Type Estimators for Addressing Non-Response in Survey Sampling Using Real Datasets by G. R. V. Triveni, Faizan Danish, Melfi Alrasheedi

“…We proved the efficiency of our proposed estimators by using the bias and mean square error (MSE) metrics under different NR rates, illustrating the positive correlation between higher NR rates and increased errors. …”
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Controlling Factors of Evapotranspiration Predictability Under Diverse Climates With the Effects of Water Storage Change in the Budyko Framework by Chuanhao Wu, Pat J.‐F. Yeh, Jun Zhou, Jiayun Li, Lulu Zhong, Saisai Wang, Zhengjie Gong, Min Shi, Jiali Ju, Guoru Huang

“…Based on a long‐term (1984–2008) gridded water budget data set, we present a comparative analysis of annual ET predictability between the original BM (ET1) and the extended BM considering ΔS (ET2) in 32 global river basins to explore the sensitivity of climate factors and catchment hydrologic responses in determining ET predictability. …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Modelling events that change over time is one of the most difficult problems in data analysis. Forecasting of time-varying electric power values is also an important problem in data analysis. …”
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Study on DEM Correction Method of Digital Twin Basic Data Baseboard by HONG Minghai, YAN Tao, LIU Hui, WANG Xingjian, JING Na, WANG Shiwei, WEI Wenjie, LI Xinan, FENG Chuqiao

“…DEM is one of the most important digital twin basic data and has played a huge role in water conservancy planning,design,and engineering construction.However,the existence of various DEM errors greatly reduces the credibility of analysis and application results.In particular,the missing value after terrain conversion to DEM greatly limits subsequent DEM-based analysis.Based on the principle of raster calculation,this paper calls the corresponding tool of ArcGIS by Python to correct the missing value at the overlapped area of a certain terrain converted to DEM by using the mean of eight valued pixels around the pixel.The results show that the calculation method is highly applicable,reliable,and fast.The data of the corrected and compared values of 306 NoData pixels in the study area are close to the 1∶1 line;the maximum difference between the corrected and compared values is only 3.55 m,and the medium error value is 0.75,which is far below the standard error limit.Calling Numpy through Python greatly improves the calculation speed (10 s),and ArcGIS currently has no tool for directly correcting this method.In contrast,the DEM correction method proposed in this paper can be processed in batch,without processing failures due to memory limit,which greatly improves the work efficiency and has a strong application value for processing digital twin basic data.…”
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Efficient Data Storage in DNA Sequences Aided by p-gram Huffman Coding by Kun Tu, Dariusz Puchala

“…In addition, we perform an error analysis of the method, considering substitution and deletion errors, which result in two more robust variants.…”
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Processing of experimental data based on "technique of shift" interpolated cubic splanes by V. A. Fedoruk

“…This article proposes the analysis of experimental data using interpolation cubic splines to use "technique of shift", based on the shift points of stitching together fragments cubic parabolas relative to the interpolation nodes linked to the experimental data. …”
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Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment by Rafael Gonçalves, Diogo Magalhães, Rafael Teixeira, Mário Antunes, Diogo Gomes, Rui L. Aguiar

“…The non-stationary nature of energy data is a serious challenge for energy forecasting methods. …”
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Multi-source data joint processing framework for DEM calibration and fusion by Cuilin Yu, Qingsong Wang, Zibo Zhang, Zixuan Zhong, Yusheng Ding, Tao Lai, Haifeng Huang, Peng Shen

“…High-accuracy digital elevation models (DEMs) are essential for remote sensing and geospatial analysis, yet integrating multi-source data over large and complex terrains remains challenging. …”
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Optimal configuration of multi-microgrid energy system based on historical data by XIU Chunnan, REN Dajiang, LIU Qiang, WANG Meng’en

“…It collects the historical annual wind and solar output data of the region, and uses the BP neural network to predict the photovoltaic output of the next year based on the historical data to ensure the reasonableness of capacity configuration of the micro-grid equipment, as well as considers the influence of photovoltaic prediction error on the accuracy of the results. …”
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THE USE OF STATISTICAL CRITERIA FOR EVALUATION TEST OF DATA ON PROPERTIES OF INORGANIC SUBSTANCES by I. D. Tarasenko, V. A. Dudarev

“…Criteria presented in the article can be applied for the analysis of any data and for making conclusions based on them, if errors were found in the sampling.…”
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Sparse Robust Weighted Expectile Screening for Ultra-High-Dimensional Data by Xianjun Wu, Pingping Han, Mingqiu Wang

“…The proposed approach demonstrates robustness against heavy-tailed errors and outliers in data. Simulation studies and a real data analysis are provided to demonstrate the superior performance of the SRoWER method when dealing with outlier-contaminated explanatory variables and/or heavy-tailed error distributions.…”
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Evaluation of Satellite Precipitation Products for Estimation of Floods in Data-Scarce Environment by Muhammad Masood, Muhammad Naveed, Mudassar Iqbal, Ghulam Nabi, Hafiz Muhammad Kashif, Muhammad Jawad, Ahmad Mujtaba

“…The statistical metrics applied were probability of detection (POD), critical success index (CSI), false alarm ratio (FAR), correlation coefficient (CC), root mean square error (RMSE), and bias (B). The hydrologic evaluation was conducted with calibration and validation scenarios for the monsoon flooding season using the Integrated Flood Analysis System (IFAS) and flow duration curve (FDC). …”
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

“…In this work, A proposed Algorithm has been constructed for the selecting the best band and lessening high dimension of remote sensing data depending on multi algorithms, each on carried out and its results are studied irrespective of other, then combining them in the proposed algorithms, in the principle component analysis algorithm find covariance matrix for the processing bands . …”
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