scholarly journals Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering

2009 ◽  
Vol 1 (6) ◽  
pp. 361-371 ◽  
Author(s):  
Krishna Rajan ◽  
Changwon Suh ◽  
Patricio F. Mendez
Keyword(s):  
Principal Component Analysis ◽  
Dimensional Analysis ◽  
Materials Science ◽  
Principal Component ◽  
Component Analysis ◽  
Materials Informatics ◽  
Science And Engineering ◽  
Materials Science And Engineering ◽  
Informatics Tools

scholarly journals Rationality Evaluation of Curriculum System of Groundwater Science and Engineering

2017 ◽  
Vol 2 (1) ◽  
pp. 446-449
Author(s):  
Zhou Yahong ◽  
Wang Rui ◽  
Wei Aihua
Keyword(s):  
Principal Component Analysis ◽  
Professional Practice ◽  
Principal Component ◽  
Component Analysis ◽  
Theoretical Knowledge ◽  
Practical Application ◽  
Science And Engineering ◽  
Exam Scores ◽  
Grade 3

Abstract The research object of this paper is the 66 students of Groundwater science and engineering in Heibei GEO University. Their 11 courses’ exam scores in grade 3 were analyzed by principal component analysis (PCA). The results show that the course system is basically reasonable, because most of the score of the curriculums in PC1 are consistent with each other. What’s more, the results show that the professional basic courses laid a good foundation for the development of other courses. At the same time, the weakness of the curriculums has been reflected during the study. The content of the professional practice may need to be adjusted because it failed to transform the theoretical knowledge to practical application.

scholarly journals The application of Principal Component Analysis to materials science data

2002 ◽  
Vol 1 ◽  
pp. 19-26 ◽  
Author(s):  
Changwon Suh ◽  
Arun Rajagopalan ◽  
Xiang Li ◽  
Krishna Rajan
Keyword(s):  
Principal Component Analysis ◽  
Materials Science ◽  
Principal Component ◽  
Component Analysis ◽  
Science Data

The Discrimination of Fluorescence Spectra of Phytoplankton for Environment Protection Based on the PCA and SVM

2012 ◽  
Vol 600 ◽  
pp. 63-66
Author(s):  
Hai Yan Chen ◽  
Ni Yang ◽  
Feng Xia Han
Keyword(s):  
Fluorescence Spectra ◽  
Materials Science ◽  
Three Dimensional ◽  
Principal Component ◽  
Svm Classifier ◽  
Three Dimension ◽  
Science And Engineering ◽  
Materials Science And Engineering ◽  
Sea Area ◽  
Selection Of

Issues of environmental protection and sustainable development are gaining an increasing importance in everyday life, and nowhere is this more than in the field of Materials Science and Engineering. The alga is the most common phytoplankton, identifying them can estimate the community structure and distribute status of ecosystem in the sea area and realize the inspecting and comprehensive father of sea. In this paper, the three dimension fluorescence spectra and principal component analysis method is combined to identify the ocean phytoplankton. Aiming at the east China sea, adopt the selection of common seaweed three-dimensional fluorescence spectrum of first principal component scores spectrum as bacillariophyta and pyrrophyta identification features diatoms and spectrum, established the phytoplankton fluorescence features spectrum library. On this basis, the SVM classifier is used to identify the kinds of the phytoplankton. The accuracy of the experimental results recognition is for 95%.

Merging Materials and Data Science: Opportunities, Challenges, and Education in Materials Informatics

MRS Advances ◽  
2020 ◽  
Vol 5 (7) ◽  
pp. 329-346 ◽  
Author(s):  
Thomas J. Oweida ◽  
Akhlak Mahmood ◽  
Matthew D. Manning ◽  
Sergei Rigin ◽  
Yaroslava G. Yingling
Keyword(s):  
Data Science ◽  
Materials Science ◽  
Optimization Techniques ◽  
Materials Informatics ◽  
Science And Engineering ◽  
Educational Challenges ◽  
Engineering Problems ◽  
Materials Science And Engineering ◽  
Materials Genome ◽  
Materials Genome Initiative

ABSTRACTSince the launch of the Materials Genome Initiative (MGI) the field of materials informatics (MI) emerged to remove the bottlenecks limiting the pathway towards rapid materials discovery. Although the machine learning (ML) and optimization techniques underlying MI were developed well over a decade ago, programs such as the MGI encouraged researchers to make the technical advancements that make these tools suitable for the unique challenges in materials science and engineering. Overall, MI has seen a remarkable rate in adoption over the past decade. However, for the continued growth of MI, the educational challenges associated with applying data science techniques to analyse materials science and engineering problems must be addressed. In this paper, we will discuss the growing use of materials informatics in academia and industry, highlight the need for educational advances in materials informatics, and discuss the implementation of a materials informatics course into the curriculum to jump-start interested students with the skills required to succeed in materials informatics projects.

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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