Correlation and principal component analysis of physical properties of tender coconut ( Cocos nucifera L.) in relation to the development of trimming machine

2019 ◽  
Vol 42 (6) ◽  
Author(s):  
R. Pandiselvam ◽  
M. R. Manikantan ◽  
N. Subhashree ◽  
A. C. Mathew ◽  
D. Balasubramanian ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Cocos Nucifera ◽  
Principal Component ◽  
Component Analysis ◽  
Cocos Nucifera L ◽  
Tender Coconut

scholarly journals Evaluation of Physical Characteristics of Typical Maize Seeds in a Cold Area of North China Based on Principal Component Analysis

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1167
Author(s):  
Han Tang ◽  
Changsu Xu ◽  
Yeming Jiang ◽  
Jinwu Wang ◽  
Zhenhua Wang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Food Processing ◽  
North China ◽  
Principal Component ◽  
Component Analysis ◽  
Physical Characteristics ◽  
Maize Seeds ◽  
Cold Area ◽  
Agricultural Materials

The physical properties of maize seeds are closely related to food processing and production. To study and evaluate the characteristics of maize seeds, typical maize seeds in a cold region of North China were used as test varieties. A variety of agricultural material test benches were built to measure the maize seeds’ physical parameters, such as thousand-grain weight, moisture content, triaxial arithmetic mean particle size, coefficient of static friction, coefficient of rolling friction, angle of natural repose, coefficient of restitution, and stiffness coefficient. Principal component and cluster comprehensive analyses were used to simplify the characteristic parameter index used to judge the comprehensive score of maize seeds. The results showed that there were significant differences in the main physical characteristics parameters of the typical maize varieties in this cold area, and there were different degrees of correlation among the physical characteristics. Principal component analysis was used to extract the first three principal component factors, whose cumulative contribution rate was over 80%, representing most of the information of the original eight physical characteristic parameters, and had good representativeness and objectivity. According to the test results, the classification standard of the evaluation of the physical characteristics of 15 kinds of maize seeds were determined, and appropriate evaluations were conducted. The 15 kinds of maize seeds were clustered into four groups by cluster analysis, and the physical characteristics of each groups were different. This study provides a new idea for the evaluation and analysis of the physical properties of agricultural materials, and provides a new method for the screening and classification of food processing raw materials.

Use of principal component analysis to evaluate the physical properties of Mahon cheese

1999 ◽  
Vol 210 (1) ◽  
pp. 73-76 ◽  
Author(s):  
Miguel Frau ◽  
Susana Simal ◽  
Antoni Femenia ◽  
Esther Sanjuán ◽  
C. Rosselló
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Principal Component ◽  
Component Analysis

scholarly journals Multivariate Statistical Analysis Applied to Physical Properties of Soybean Cultivars in The Design and Regulation of Post-Harvest Equipment

2021 ◽  
Author(s):  
Paulo Coradi ◽  
Josiane Oliveira ◽  
Larissa Teodoro ◽  
Dágila Rodrigues ◽  
Paulo Teodoro ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physical Properties ◽  
Manufacturing Industry ◽  
Physical Property ◽  
Principal Component ◽  
Component Analysis ◽  
The Other ◽  
Specific Mass ◽  
Post Harvest ◽  
Soybean Cultivars

Abstract The present work had as aim to evaluate the similar of soybean cultivars according to physical properties as a guiding parameter for decision making in the design and regulation of post-harvest equipment using multivariate analysis. First, Pearson's correlation coefficients were estimated. Posteriorly, principal component analysis was performed to verify the interrelationship between variables and soybean cultivars. A biplot was built with the first two principal components. Finally, a boxplot was built for each variable considering the grouping presented by the analysis of main components. By principal component analysis, we identified the formation of two clusters (G1 and G2) of cultivars. Unit specific mass was the physical property that most contributed to the formation of G1, while the other physical properties contributed to the formation of G2. Soybean cultivars comprising the G1 are more similar to each other only for unit specific mass, and the cultivars allocated in group G2 are more similar for all the other properties evaluated. These results are recommended by the equipment manufacturing industry and the seed processing units to carry out projects and equipment adjustments to efficiently manage the post-harvest of soybean seeds.

Principal Component Analysis for Physical Properties of Electric Arc Furnace Oxidizing Slag

2014 ◽  
Vol 627 ◽  
pp. 323-326
Author(s):  
Li Chen ◽  
Tzu Yi Pai
Keyword(s):  
Principal Component Analysis ◽  
Los Angeles ◽  
Physical Properties ◽  
Principal Component ◽  
Component Analysis ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Three Dimension ◽  
Arc Furnace ◽  
Los Angeles Abrasion

In this study, the principal component analysis (PCA) was used to analyze and classify the electric arc furnace oxidizing slag based on physical properties. The results indicated that about 91.44 % information could be explained using the previous four PC. The Los Angeles abrasion test (LAAT) and loss of sodium sulfate soundness test (LSSST) mainly contributed to the first PC, meanwhile the saturated surface-dry specific gravity (SSDSG) contributed mainly to the second PC. The significant physical properties of EAF slag including LAAT, LSSST, and SSDSG could be identified according to PCA. According to the two dimension classification using PC1 and PC2, the 60 samples could be approximately classified into two groups. They could be also classified into two groups in three dimension classification.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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