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Recently, several methods to find similarity of data format and correlation between data and signal have been used for solving correlation of these things. The disadvantages of the methods are spent period of processing time, which are not suitable for large quantities of data. The objectives of this study were: 1) to review correlation and grey relational algorithm, 2) to compare between Pearson ...Show More
To protect the marine environment and increase the safety of ships, knowledge of the state of the sea is crucial. In this study, sea state estimation was performed using an algorithm for unimodal and short-crested sea states, varying the linear and rank correlation coefficients accordingly. More specifically, Pear-son, Spearman and Kendall correlation coefficients are employed and compared to dete...Show More
To analyze the correlation between alarm logs generated during complex chemical processes, a mining and modeling method of process alarm logs is proposed in this paper. The proposed method mines the correlation between alarm logs based on the Word2Vec and Pearson correlation coefficient, and establishes a quantitative modeling based on the complex networks. Firstly, the alarm variables are mapped ...Show More
Due to the stochastic nature, intermittency, and variability of wind speed, accurate and timely prediction of wind power generation is crucial for enhancing power system operation and ensuring grid stability. In the region, there exists a certain spatio-temporal correlation between adjacent stations. However, traditional methods based on historical time series and numerical weather forecasts fail ...Show More
An adaptive system is expected to modify its behavior to suit changes in environmental and system condition. Somehow, it causes problems during requirement specification (and in subsequent verification) since it is difficult to provide all possible adaptation needed during runtime. Thus, it may be necessary to temporarily ignore non-critical requirements to a certain point in order to maintain sat...Show More
The correlation analysis of weather factors and outage duration can provide reference for enterprises to make decisions in advance when weather changes, which guarantees stable operation of power grid system. Therefore, aiming at the correlation between weather factors and outage duration, this paper researches linear correlation and nonlinear correlation between them from Pearson correlation coef...Show More
The output power of photovoltaic power generation is a multi-variable and coupled nonlinear random process. Traditional correlation analysis methods are ineffective in detecting the nonlinear relationship between photovoltaic power generation and its related influencing factors. To solve this problem, a nonlinear correlation analysis algorithm is proposed based on shrinking and extending the time ...Show More
To enhance the precision and resolution of radiation source localization using electromagnetic time reversal technology in free-space environments, this paper introduces a novel nonlinear correlation coefficient criterion that employs the Gaussian kernel function. A series of simulations were conducted to evaluate the effectiveness of this new criterion against the conventional energy criterion an...Show More
This article focuses on detailing the implementation of the Gamma correlation coefficient in its fuzzy version, using the data analytics framework R. The correlation analysis is applied to data corresponding to the ceramic industry domain, with the purpose of detecting the relationship between the variables obtained during the paste preparation process. Also, a comparison of the results obtained w...Show More
A method combining Spearman Correlation Coefficient (SCC), Maximal Information Coefficient (MIC), and Boruta algorithm is proposed to address the problem of low classification accuracy of traditional machine learning algorithms when processing features of enterprise credit data. The method is applied to Decision Trees, Extreme Gradient Boosting (XGBOOST), and Gradient Boosting Decision Tree (GBDT)...Show More
To enhance the fault location precision of multistage feeders in distribution network, a new section location method is proposed. In this paper, the fault characteristics of transient zero-sequence current transient components are analyzed, and the amplitude characteristics of zero-sequence current in the upstream and downstream nodes of the fault point are determined by using the mathematical rel...Show More
In this paper, high-voltage electricity stealing users are divided into continuous and intermittent types. Firstly, the fluctuation characteristics between electricity stealing users and line loss electricity are studied. Using the Pearson correlation coefficient calculation method, the intelligent identification model of electricity stealing based on the correlation of line loss electricity is co...Show More
The correlation coefficient is commonly used in analyses of software project data sets for the purpose of quantifying the relationship between two variables. However, while there are various types of relationships between two variables, the correlation coefficient cannot distinguish between these types. This study proposes new metrics between two continuous variables that have the potential to cha...Show More
This paper presents a correlation analysis between the uniformity parameters under DC-voltage and impulsecurrent excitations for MOV banks based on the z-score transform and the Pearson correlation coefficient. After a series of tests on 120 disks, the MOV banks parallel-connected by 18 disks in 3 groups are formed, and the following tests are carried in normal, abnormal and unbalance temperature ...Show More
The paper deals with the task of identifying the real “respiratory” component of the rhythmocardiogram signal when estimating parameters of heart rate variability. Different methods for formation criterion of synchronization between the cardiovascular and respiratory systems are analyzed. The analysis of possible sources of error in estimation of synchronization criterion with the different method...Show More
In recent years. The Beijing-Tianjin-Tangshan region is building the electricity market and promoting the restructuring of the capital's functions to achieve industrial adjustment. With the rapid changes in the socio-economic structure, higher requirements are placed on power system services, and accurate power forecasting results are urgently needed. However, previous research on electricity cons...Show More
At present, the empirical formulas of flight parameters are not accurately fitted for different aircraft types, and the traditional black-box algorithms don't express the flight parameter correlation quantitatively. To address the above problems, a flight simulation parameter identification method bases on Quick Access Recorder (QAR) data is proposed. Based on the polynomial fitting algorithm, the...Show More
In the offline sales process, we found that there may be characteristics of mutual influence between the sales of different categories of vegetables. Therefore, we hypothesized that there might be a potential link between different kinds of vegetables. In order to gain more insight into this correlation, this article conducted a correlation analysis on the sales of different categories of vegetabl...Show More
Hadoop MapReduce is a commonly used data processing engine for big data analysis. An iterative MapReduce parallel computing workflow was designed to analyze the logs of search engines in fast-moving consumer goods (FMCG) e-commerce websites. Based on the search results of the brand facet in each search, the workflow mines the potential correlation between each keyword search and brand awareness. I...Show More
Data screening applied in video quality subjective assessment is helpful to remove abnormal observers and ensure the precision and effectiveness of the results. This paper firstly introduces two main data-processing methods, which are recommended in ITU-R BT.500 and ITU-R BT.1788 respectively, and then proposes an improved data-processing method, which is used to eliminate observers whose score tr...Show More
This paper focuses on the replenishment and pricing problems of superstore vegetable products. Firstly, through the analysis and prediction of the sales data of multiple categories and single products, we explore their distribution patterns and correlations; secondly, we use the LSTM model to predict the sales volume and formulate the pricing strategy by combining with the cost-plus ratio; lastly,...Show More
Identifying reliability high-correlated gates (HRCGs) is vital for fault location and exclusion, especially for cascading faults. By executing a linear fit based on the results of the circuit’s reliability evaluation and calibrating the fit function using regression residual analysis, this brief first proves the existence of HRCGs. A time-series-oriented PCC model is then introduced to quantify ga...Show More
Recently there has been a formidable work which has been put up from the people who are working in the frontlines such as hospitals, clinics, and labs alongside researchers and scientists who are also putting tremendous efforts in the fight against COVID-19 pandemic. Due to the preposterous spread of the virus, the integration of the artificial intelligence has taken a considerable part in the hea...Show More
This article deals with the use of correlation co-efficients for optimizing input data in hybrid FSO/RF systems, where the RSSI parameter plays a key role. We explain the basic principles of operation of hybrid FSO/RF networks and their vulnerability to atmospheric influences, such as fog or turbulence. Subsequently, we focus on the calculation and interpretation of Pearson, Spearman and Kendall's...Show More
Reference antennas with different correlation coefficients for 4 × 4 multiple-input multiple-output (MIMO) systems are investigated in this paper. Two types of reference antennas are designed, i.e., bad reference antenna with high correlations (HC) and good reference antenna with low correlations (LC). The correlations are controlled by changing the orientation of the elements of the reference ant...Show More