scholarly journals Consistency Analysis for Massively Inconsistent Datasets in Bound-to-Bound Data Collaboration

2018 ◽  
Vol 6 (2) ◽  
pp. 429-456 ◽  
Author(s):  
Arun Hegde ◽  
Wenyu Li ◽  
James Oreluk ◽  
Andrew Packard ◽  
Michael Frenklach
Keyword(s):  
Consistency Analysis ◽  
Data Collaboration

Consistency analysis of GF-1 and GF-6 satellite wide field view multi-spectral band reflectance

Optik ◽  
2021 ◽  
Vol 231 ◽  
pp. 166414
Author(s):  
Liang Guo ◽  
Yang Liu ◽  
Huagui He ◽  
Hong Lin ◽  
Guangxin Qiu ◽  
...  
Keyword(s):  
Spectral Band ◽  
Wide Field ◽  
Consistency Analysis ◽  
Field View

scholarly journals Preparation of irreversible hydrocolloids to improve retention of complete dentures

2008 ◽  
Vol 61 (3-4) ◽  
pp. 131-134
Author(s):  
Ljiljana Aleksov ◽  
Sasa Stankovic ◽  
Zorica Ajdukovic
Keyword(s):  
Clinical Research ◽  
Dimensional Change ◽  
Complete Dentures ◽  
Consistency Analysis ◽  
Working Models ◽  
Retention Force ◽  
Impression Materials ◽  
Research Show

Introduction Precise reproduction of anatomical-morphological details of dentures support on working models presupposes adequate application of modern impression materials and casting procedure, as well as minimal dimensional change of these materials. The aim of the study: experimental and clinical research is connected to irreversible hydrocolloids and the objective was to examine the most suitable consistency of the alginate as the impression mass for the purpose of improving retention of complete dentures. Material and methods This research included 35 completely toothless patients, most of who had already had complete dentures, 40-80 years of age and of both sexes. Static adhesion was measured with aery late plates made of adequate corresponding and various models depending on consistency of the irreversible hydrocolloids. Each model was cut into three parts, the cuts obtained were mutually compared, and computerized graphic charts of each section were made. Results The results of the research show that there is a greater retention force in the acrylate plates obtained on models castled on an anatomical impression base taken with irreversible hydrocolloides of solid consistency. Analysis of the results shows such quality of impressed tissues that they are practically slightly displaced by the impressions regardless of the consistency of the material impressed. Conclusion In conclusion it is pointed out that the preparation of irreversible hydrocolloides must be carried out by strictly obeying the powder-water weight ratios. The sections of the models obtained by irreversible hydrocolloides of various consistencies, that is by applying different pressures, point to minimal displacement of tissues and great differences in the retention force in favor of the compressive impression.

Study on Consistency Analysis in Text Categorization

2014 ◽  
Vol 539 ◽  
pp. 181-184
Author(s):  
Wan Li Zuo ◽  
Zhi Yan Wang ◽  
Ning Ma ◽  
Hong Liang
Keyword(s):  
Text Categorization ◽  
Training Data ◽  
Experimental Result ◽  
Final Decision ◽  
Consistency Analysis ◽  
Training Set ◽  
Weak Classifier ◽  
Data Set ◽  
Basic Premise

Accurate classification of text is a basic premise of extracting various types of information on the Web efficiently and utilizing the network resources properly. In this paper, a brand new text classification method was proposed. Consistency analysis method is a type of iterative algorithm, which mainly trains different classifiers (weak classifier) by aiming at the same training set, and then these classifiers will be gathered for testing the consistency degrees of various classification methods for the same text, thus to manifest the knowledge of each type of classifier. It main determines the weight of each sample according to the fact is the classification of each sample is accurate in each training set, as well as the accuracy of the last overall classification, and then sends the new data set whose weight has been modified to the subordinate classifier for training. In the end, the classifier gained in the training will be integrated as the final decision classifier. The classifier with consistency analysis can eliminate some unnecessary training data characteristics and place the key words on key training data. According to the experimental result, the average accuracy of this method is 91.0%, while the average recall rate is 88.1%.

scholarly journals Consistency analysis of polymer electrolyte membrane fuel cell stack during cold start

2019 ◽  
Vol 241 ◽  
pp. 420-432 ◽  
Author(s):  
Rui Lin ◽  
Yike Zhu ◽  
Meng Ni ◽  
Zhenghua Jiang ◽  
Diming Lou ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Polymer Electrolyte ◽  
Polymer Electrolyte Membrane ◽  
Cold Start ◽  
Consistency Analysis ◽  
Fuel Cell Stack ◽  
Electrolyte Membrane
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