Showing 1-25 of 58,820 resultsfor "Index Terms":Correlation Coefficient
"Index Terms":Correlation Coefficient
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
A Comparison Between Correlation and Grey Relational for Big Data and Analytics
Chatchai Tritham;Lertsak Lekawat;Autthasith Arrayangkool;Chukiat Viwatwongkasem;Pratana Satitvipawee;Pichitpong Soontornpipit
2018 International Electrical Engineering Congress (iEECON)
Year: 2018 | Conference Paper |
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
Comparison of Linear and Rank-Correlation for the Sea State Estimation
2024 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
Year: 2024 | Conference Paper |
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
Process alarm log mining and modeling based on complex networks
Yingqi Zhu;Qianlin Wang;Dongsheng Zhang;Jiaqi Han;Zhan Dou;Jianwen Zhang
2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
Year: 2023 | Conference Paper |
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
Methodologies on Spatial and Temporal Correlation Analysis between Regional Neighboring Sites
2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
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
Capturing Requirement Correlation in Adaptive Systems
2018 IEEE International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics )
Year: 2018 | Conference Paper |
Cited by: Papers (1)
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
Correlation analysis of weather factors and outage duration
2021 IEEE 4th International Electrical and Energy Conference (CIEEC)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
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
Photovoltaic Power Impact Analysis Based on Nonlinear Correlation and Time Series Model
Yang Zhen;Zhang Haiqing;Gong Cheng;Tang Xin;Yu Xi;Li Daiwei;Tang Dan
2024 7th Asia Conference on Energy and Electrical Engineering (ACEEE)
Year: 2024 | Conference Paper |
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
Preliminary Research on Nonlinear Correlation Coefficient Criterion in EMTR Method for Spatial Radiation Source Localization
2024 International Conference on Electromagnetics in Advanced Applications (ICEAA)
Year: 2024 | Conference Paper |
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
Fuzzy Gamma Correlation Coefficient: Applied to the Analysis of Data from the Ceramic Industry Domain
Leticia Gómez Rivera;Perfecto Malaquías Quintero Flores;Sara Gutiérrez Carmona;Adriana López Tuxpan;Oscar Atriano Ponce
2023 Mexican International Conference on Computer Science (ENC)
Year: 2023 | Conference Paper |
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
Enterprise Credit Prediction Model Based on SCC-MIC-Boruta Algorithm Feature Selection Algorithm
2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS)
Year: 2023 | Conference Paper |
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
Fault location of multistage feeders in distribution network
2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG)
Year: 2019 | Conference Paper |
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
Intelligent Identification of Electricity Stealing Based on the Correlation of Line Loss
Gaojun Xu;Weijiang Wu;Xusheng Qian;Min Xiang;Lingli Long;Yongjin Zhu
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)
Year: 2022 | Conference Paper |
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
Correlation Analysis of Uniformity Parameters under DC and Impulse Excitations for MOV Banks
2021 IEEE 4th International Electrical and Energy Conference (CIEEC)
Year: 2021 | Conference Paper |
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
Methods of mutual analysis of rhythmocardiogram and pneumatogram signals to evaluate of body adaptation reserves
2014 3rd Mediterranean Conference on Embedded Computing (MECO)
Year: 2014 | Conference Paper |
Cited by: Papers (2)
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
A Forecasting Model for Electricity Consumption in the Beijing-Tianjin-Tangshan Region Considering Economic Data Based on Multiple XGBoost Models
2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
Year: 2023 | Conference Paper |
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
A Novel Data-Driven Approach to Parameter Identification for Flight Simulation
2023 42nd Chinese Control Conference (CCC)
Year: 2023 | Conference Paper |
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
Correlation analysis of different vegetable categories based on Spearman rank correlation coefficient
2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
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
Rankings Correlation Study : Brand Search Volume vs. Brand Sales Volume
2020 5th IEEE International Conference on Big Data Analytics (ICBDA)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
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
The comparison and improvement of data processing methods in video quality subjective assessment
2014 7th International Congress on Image and Signal Processing
Year: 2014 | Conference Paper |
Cited by: Papers (1)
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
Research on Replenishment and Pricing Strategy of Vegetable Goods in Superstores Based on LSTM Modeling
2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)
Year: 2023 | Conference Paper |
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 of Logic Circuits With Pearson Correlation Coefficient
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
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)
Year: 2020 | Conference Paper |
Cited by: Papers (37)
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
The importance of correlation coefficients in optimizing input data for hybrid FSO/RF systems
2025 35th International Conference Radioelektronika (RADIOELEKTRONIKA)
Year: 2025 | Conference Paper |
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
Four-Port Reference MIMO Antenna for OTA Application
2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
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
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.