Wavefront aberration measurement method for a hyper-NA lithographic projection lens based on principal component analysis of an aerial image

2016 ◽  
Vol 55 (12) ◽  
pp. 3192 ◽  
Author(s):  
Boer Zhu ◽  
Xiangzhao Wang ◽  
Sikun Li ◽  
Guanyong Yan ◽  
Lina Shen ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Measurement Method ◽  
Principal Component ◽  
Component Analysis ◽  
Aerial Image ◽  
Wavefront Aberration ◽  
Projection Lens

Matrix Based Feature Measurement and Extraction for Face Recognition

2015 ◽  
Vol 738-739 ◽  
pp. 643-647
Author(s):  
Qi Zhu ◽  
Jin Rong Cui ◽  
Zi Zhu Fan
Keyword(s):  
Principal Component Analysis ◽  
Feature Extraction ◽  
Face Recognition ◽  
Measurement Method ◽  
Principal Component ◽  
Component Analysis ◽  
High Accuracy ◽  
Face Image ◽  
Two Dimensional ◽  
The Matrix

In this paper, a matrix based feature extraction and measurement method, i.e.: multi-column principle component analysis (MCPCA) is used to directly and effectively extract features from the matrix. We analyze the advantages of MCPCA over the conventional principal component analysis (PCA) and two-dimensional PCA (2DPCA), and we have successfully applied it into face image recognition. Extensive face recognition experiments illustrate that the proposed method obtains high accuracy, and it is more robust than previous conventional face recognition methods.

Polarization Aberration Measurement Method Based on Principal Component Analysis of Differential Aerial Images

2019 ◽  
Vol 39 (7) ◽  
pp. 0712006
Author(s):  
孟泽江 Zejiang Meng ◽  
李思坤 Sikun Li ◽  
王向朝 Xiangzhao Wang ◽  
步扬 Yang Bu ◽  
杨朝兴 Chaoxing Yang ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Measurement Method ◽  
Principal Component ◽  
Component Analysis ◽  
Aerial Images

scholarly journals In situ aberration measurement technique based on principal component analysis of aerial image

2011 ◽  
Vol 19 (19) ◽  
pp. 18080 ◽  
Author(s):  
Lifeng Duan ◽  
Xiangzhao Wang ◽  
Anatoly Y. Bourov ◽  
Bo Peng ◽  
Peng Bu
Keyword(s):  
Principal Component Analysis ◽  
Measurement Technique ◽  
Principal Component ◽  
Component Analysis ◽  
Aerial Image

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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