An Approach to Fault Diagnosis for Gearbox Based on Image Processing by Yang Wang, Yujie Cheng

“…Then, speeded up robustness feature (SURF) is applied to automatically extract the image feature points of the bispectrum contour map, and the feature dimension is reduced by principal component analysis (PCA). Finally, an extreme learning machine (ELM) is introduced to identify the fault types of the gearbox. …”
Get full text

Site Selection of Precast Concrete Component Factory Based on PCA and GIS by Shuqiang Wang, Yuke Ruan, Wanwei Hu

“…To address the problem of siting PC component plants in China's construction industry, a combination of qualitative and quantitative analysis using principal component analysis (PCA) and geographic information system (GIS) is proposed for their siting. …”
Get full text

Residents’ perceptions of tourism and sustainable tourism management: planning to prevent future problems in destination management - The case of Cáceres, Spain by Raquel Caro-Carretero, Sandra Monroy-Rodríguez

“…This study explores residents’ opinions with the aim of understanding their perceptions of tourism in order to implement sustainable tourism practices in a medium-sized city such as Cáceres, which has been declared a UNESCO World Heritage Site (WHS), in order to mitigate negative impacts such as gentrification and tensions. Using principal component analysis (PCA) and cluster analysis these attitudes are studied and correlated with socio-demographic factors to enable effective planning of urban tourist accommodation. …”
Get full text

Evaluation of Malt Barley (Hordeum distichon L.) Varieties for Yield and Agronomic Traits in South Gondar, Ethiopia by Tiringo Yilak Alemayehu, A. Momina

“…The correlation coefficient analysis showed a significant and very strong positive association of grain yield with number of effective tillers (r=0.953∗∗), spike length (r=0.973∗∗), and strong positive association with thousand seed weight (r=0.739∗∗) with a medium positive association with seed per spike (0.554∗∗). In principal component analysis, PC1 was dominated by traits that had a greater effect on yield. …”
Get full text

A Single Platinum Microelectrode for Identifying Soft Drink Samples by Lígia Bueno, Thiago R. L. C. Paixão

“…Cyclic voltammograms recorded with a single platinum microelectrode were used along with a non-supervised pattern recognition, namely, Principal Component Analysis, to conduct a qualitative analysis of sixteen different brands of carbonated soft drinks (Kuat, Soda Antarctica, H2OH!…”
Get full text

Spatial/Temporal Characterization and Risk Assessment of Trace Metals in Mangla Reservoir, Pakistan by Muhammad Saleem, Javed Iqbal, Gulraiz Akhter, Munir H. Shah

“…The results manifested significant seasonal variations among Co, Cr, Ni, and Pb and the metals exhibited highest contribution in premonsoon season except Mn. Principal component analysis (PCA) and cluster analysis (CA) revealed considerable anthropogenic intrusions in the reservoir. …”
Get full text

Proper 5'-3' cotranslational mRNA decay in yeast requires import of Xrn1 to the nucleus. by Antonio Jordán-Pla, Yujie Zhang, José García-Martínez, Shiladitya Chattopadhyay, Anabel Forte, Mordechai Choder, Vicent Pelechano, José E Pérez-Ortín

“…Furthermore, a principal component analysis of the genomic datasets of this mutant and other Xrn1 mutants also shows that lack of a cytoplasmic 5'→3' exoribonuclease is the primary cause of the physiological defects seen in a xrn1Δ mutant, but also suggests that Xrn1 import into the nucleus is necessary for its full in vivo functions.…”
Get full text

Research on Image Recognition of Building Wall Design Defects Based on Partial Differential Equation by Xiwen Yu, Kai Wang, Shaoxuan Wang

“…The kernel principal component analysis algorithm is used to transfer the overall image input space to the high-dimensional feature space. …”
Get full text

Chemometric Analysis and Physicochemical Composition of Foreign and Tunisian Olive Oil: Consumer Preferences by Kaouther Ben-Hassine, Islem Yangui, Wissem Mnif, Ameni Taamalli, Cinzia Benincasa, Naziha Kamoun, Dhafer Malouche

“…We have then performed a principal component analysis on the data composed by the physicochemical parameters that highly discriminate between cultivars. …”
Get full text

An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics by Lixiang Duan, Fei Zhao, Jinjiang Wang, Ning Wang, Jiwang Zhang

“…Then, a new degradation index system is constructed, which fuses multidimensional cumulative features by kernel principal component analysis (KPCA). Finally, an extreme learning machine model based on phase space reconstruction is proposed to predict the degradation trend. …”
Get full text

Phenotypic Diversity Assessment of Okra (Abelmoschus Esculentus (L.) Moench) Genotypes in Ethiopia Using Multivariate Analysis by Jemal Mohammed, Wassu Mohammed, Eleni Shiferaw

“…Results of the principal component analysis indicated that the first eight principal component axes accounted for 3.83 to 30.54% and 82.44% of the total variability. …”
Get full text

Continuous Monitoring Analysis of Rice Quality in Southern China Based on Random Forest by Lin Lu, Bo Zeng, Shihua Yang, Mingxue Chen, Yonghong Yu

“…General quality indexes of rice in southern China from 2011 to 2020 were determined, including processing quality (brown rice yield, milled rice recovery, head rice yield), appearance quality (grain length, length-width ratio, chalky rice percentage, chalkiness degree, transparency), and cooking quality (alkali spreading value, gel consistency, amylose). Principal component analysis was used to distinguish the regional quality of southern rice. …”
Get full text

Gas Chromatography-Ion Mobility Spectrometry Detection of Odor Fingerprint as Markers of Rapeseed Oil Refined Grade by Tong Chen, Xingpu Qi, Mingjie Chen, Bin Chen

“…In this work, gas chromatography-ion mobility spectrometry (GC-IMS) was used to analyze the volatile organic compound changes of rapeseed oil with different refined grades, the odor fingerprints of refined rapeseed oil were constructed, and a nonlinear model was built to realize rapid and accurate discrimination of rapeseed oil with different refined grades. 124 rapeseed oil samples with different refined grades were collected and analyzed by GC-IMS and chemometric tools, and 34 characteristic peaks were selected by the colorized difference method as variables to characterize the internal quality in rapeseed oil of different refined grades. The principal component analysis algorithm was used to further reduce dimensionality and extract the most relevant information. …”
Get full text

Support Vector Machine for Behavior-Based Driver Identification System by Huihuan Qian, Yongsheng Ou, Xinyu Wu, Xiaoning Meng, Yangsheng Xu

“…Then we compare fast Fourier transform (FFT), principal component analysis (PCA), and independent component analysis (ICA) for data preprocessing. …”
Get full text

Improving RLRN Image Splicing Detection with the Use of PCA and Kernel PCA by Zahra Moghaddasi, Hamid A. Jalab, Rafidah Md Noor, Saeed Aghabozorgi

“…This study focuses on improving one of the image splicing detection algorithms, that is, the run length run number algorithm (RLRN), by applying two dimension reduction methods, namely, principal component analysis (PCA) and kernel PCA. Support vector machine is used to distinguish between authentic and spliced images. …”
Get full text

On Facial Expression Recognition Benchmarks by Ebenezer Owusu, Jacqueline Asor Kumi, Justice Kwame Appati

“…The result of the study indicates strongly that local binary pattern (LBP), principal component analysis (PCA), saturated vector machine (SVM), CK+, and 10-fold cross-validation are the most widely used feature extraction, feature selection, classifier, database, and validation method used, respectively. …”
Get full text

Genetic diversity and character association studies for agro-morphological and quality traits of advanced breeding lines in field pea (Pisum sativum L.) by Kommineni Jagadeesh1*, C.S. Mahto1, Niraj Kumar1 and H. C. Lal2

“…Path analysis revealed the correlation of pod length, harvest index and biological yield per plant was due to direct positive effects. The principal component analysis indicated that the fiseven PCs together accounted for 86.56% of the total diversity. …”
Get full text

Emotion Identification Using Extremely Low Frequency Components of Speech Feature Contours by Chang-Hong Lin, Wei-Kai Liao, Wen-Chi Hsieh, Wei-Jiun Liao, Jia-Ching Wang

“…Furthermore, principal component analysis (PCA) is applied to the approximated speech feature contours so that an efficient representation of approximated contours can be derived. …”
Get full text

Spatial Changes in Soil Nutrients in Tea Gardens from the Perspective of South-to-North Tea Migration: A Case Study of Shangluo City by Ziqi Shang, Jichang Han, Yonghua Zhao, Ziru Niu, Tingyu Zhang

“…Statistical methods including analysis of variance (ANOVA), correlation analysis, principal component analysis (PCA), and regression analysis were performed using SPSS software to examine the relationships between soil nutrients and texture in relation to altitude, latitude, and fertility status. …”
Get full text

Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…Penelitian ini bertujuan untuk membangun suatu model analisis perilaku entitas berazaskan Model Prediksi Memori (MPM) yang dikombinasikan dengan metode seleksi fitur principal component analysis (PCA) yang diimplementasikan untuk mendeteksi serangan/anomali siber yang melibatkan internal. …”
Get full text