Synthetic multi-line kymographic analysis: A spatiotemporal data reduction technique for high-speed videoendoscopy

2016 ◽  
Vol 140 (4) ◽  
pp. 2703-2713
Author(s):  
Takeshi Ikuma ◽  
Melda Kunduk ◽  
Daniel Fink ◽  
Andrew J. McWhorter
Keyword(s):  
Data Reduction ◽  
High Speed ◽  
Reduction Technique ◽  
Spatiotemporal Data ◽  
Data Reduction Technique

Dynamic Fracture Toughness Testing for Welding Part of Nuclear Piping Using Normalization Data Reduction Technique

2006 ◽  
Vol 306-308 ◽  
pp. 73-78
Author(s):  
Yong Huh ◽  
Hyung Ick Kim ◽  
Chang Sung Seok
Keyword(s):  
Fracture Toughness ◽  
Dynamic Fracture ◽  
Data Reduction ◽  
Dynamic Test ◽  
Dynamic Fracture Toughness ◽  
Reduction Technique ◽  
Fracture Toughness Test ◽  
Static Test ◽  
Welding Part ◽  
Data Reduction Technique

In this study, we performed the static test of nuclear piping materials by the unloading compliance method and the normalization data reduction technique and obtained two fracture resistance curves (J-R curves). The two curves were similar, which proves that the normalization data reduction technique can be adopted in the static test. Then we performed the dynamic fracture toughness test for welding part of nuclear piping. The J-R curves were obtained from the dynamic test by the normalization data reduction technique and were compared to those of the static test results.

Cluster Analysis Using Rough Clustering and k-Means Clustering

2005 ◽  
pp. 435-438
Author(s):  
Kevin E. Voges
Keyword(s):  
Cluster Analysis ◽  
Data Reduction ◽  
Computational Intelligence ◽  
Rough Sets ◽  
Information Science ◽  
Reduction Technique ◽  
Analysis Techniques ◽  
The Subject ◽  
Data Reduction Technique ◽  
Potential Use

Cluster analysis is a fundamental data reduction technique used in the physical and social sciences. The technique is of interest to managers in information science because of its potential use in identifying user needs though segmenting users such as Web site visitors. In addition, the theory of rough sets is the subject of intense interest in computational intelligence research. The extension of this theory into rough clustering provides an important and potentially useful addition to the range of cluster analysis techniques available to the manager.

scholarly journals The Management of Scout in Student Building Character in SMP N 1 BASO

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Kartika Sari ◽  
Ahmad Sabandi ◽  
Sufyarma Marsidin
Keyword(s):  
Data Reduction ◽  
Qualitative Approach ◽  
Reduction Technique ◽  
Work Plan ◽  
Data Reduction Technique ◽  
Character Building

This research was based on the fail to buil the student character by scout activity. The purpose of this research is to analyze the management of scout activity in school. It used qualitative approach to analyse the management of scout activity in school.  It used qualitative approach to analyse, to organize, to execute and to supervise the management scout in school. The data collected from headmaster, vice headmaster, scoutmaster and students. Had been doing by obsevation, interview and documentations. It was also analyzed by data reduction technique, data sample and summarizing to determine the exact implementation for character building. The data was examined by triangular technique and source. The research showed that scout management in effort to build student character was done by school by formulating, deciding and developing character values in scout vision, mission, purpose and work plan. Yet it was not determined the duty and right of scout implementer approplated whith the competency so it has not been developing the attitude of sprituality, emotion, social, intelectuality and phisic of student. It happened because the headmaster had not executed the supervision and monitory, report and follow-up the work plan. It is excepted to all school element to cooperate in doing scout management to build scout character in student.

Infrared Thermography Data Reduction Technique for Heat Transfer Measurements in the Boeing/AFOSR Mach-6 Quiet Tunnel

2019 ◽  
Author(s):  
Mirko Zaccara ◽  
Salvatore Cerasuolo ◽  
Gennaro Cardone ◽  
Joshua B. Edelman ◽  
Steven P. Schneider
Keyword(s):  
Heat Transfer ◽  
Infrared Thermography ◽  
Data Reduction ◽  
Reduction Technique ◽  
Data Reduction Technique

Fuzzy Soft Matrices Entropy

2018 ◽  
Vol 7 (3) ◽  
pp. 56-75 ◽  
Author(s):  
Omdutt Sharma ◽  
Pratiksha Tiwari ◽  
Priti Gupta
Keyword(s):  
Information Technology ◽  
Data Reduction ◽  
Large Scale ◽  
Reduction Technique ◽  
Soft Information ◽  
Information Measure ◽  
Fuzzy Soft Set ◽  
Huge Amount ◽  
Data Reduction Technique ◽  
Extract Information

This article describes how information technology and internet together infused organizations with huge amount of data. Consequently, accumulating, storing, understanding and analyzing data at a large scale is equally important and complex. Out of this data not all is information data, in order to extract information, one needs to discard redundant, irrelevant and unnecessary data. This article aims to introduce a data reduction technique which will be useful to discard irrelevant data. Here in data-reduction, the authors have used fuzzy-soft set techniques, namely fuzzy-soft information matrixes. Further, they have introduced a new fuzzy-soft information measure of fuzzy-soft matrixes.

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