Practical application of fuzzy technology for experiment data analysis of rotating machine

2009 ◽  
Author(s):  
Wang Yuguo ◽  
Xie Yan ◽  
Zhao Wei
Keyword(s):  
Data Analysis ◽  
Practical Application ◽  
Experiment Data ◽  
Rotating Machine

Research on Practical Application of Data Analysis and Visualization

2020 ◽  
Author(s):  
Rendong Li ◽  
Qingzhao Tao ◽  
Yongjian Luo ◽  
Lina Yan
Keyword(s):  
Data Analysis ◽  
Practical Application

Free JAR experiment: data analysis and comparison with JAR task

2021 ◽  
pp. 104453
Author(s):  
Alexiane Luc ◽  
Sébastien Le ◽  
Mathilde Philippe ◽  
El Mostafa Qannari ◽  
Evelyne Vigneau
Keyword(s):  
Data Analysis ◽  
Experiment Data

scholarly journals Pengaruh Budaya Dan Religiusitas Terhadap Keputusan Akuntan

2019 ◽  
Vol 1 (2) ◽  
pp. 627-645
Author(s):  
Nisa Umahmudah A ◽  
Sany Dwita ◽  
Nayang Helma Yunita
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Accounting Students ◽  
Experiment Data ◽  
Quasi Experiment

This study aims to test empirically about: 1) The influence of culture on the accountant's decision, and 2) the influence of religiousity effect on the accountant's decision. This type of research belongs to a quasi experiment. Data in this study were collected by using questionnaires on 200 accounting students from 2 universities in Padang City and 1 university in Madura. Data analysis was done by using two-way ANOVA. The results of this study conclude that culture affects an accountant in decision making, while religiousity does not affect the accountant's decision. This study focuses on Javanese culture and Minangkabau culture with a construal of self approach in assessing accountant decisions and using accounting students as a subject to examine cultural and religiousity influences on professional accountant decisions.

Research of High-Speed Railway Running Economic Benefit Based on Gray Model

2012 ◽  
Vol 253-255 ◽  
pp. 1273-1277
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Data Analysis ◽  
Prediction Model ◽  
Economic Benefit ◽  
High Speed ◽  
Accurate Prediction ◽  
Gray Model ◽  
Practical Application ◽  
High Speed Railway ◽  
Railway Stations ◽  
Train Operation

The research of high-speed railway running economic benefit is important to timely know well the train operation state for the railway administration. A prediction model of high-speed railway running economic benefit is proposed in this article based on Gray model. The Gray model is a good example to make accurate prediction of the development of matters. According to the data analysis of Beijing and Shanghai railway stations, we can know that the result of prediction model is accurate, so the prediction based on Gray model is scientific and reasonable in the practical application.

Noise background levels and noise event tracking/characterization under the Arctic Ice Pack: Experiment, data analysis, and modeling

2016 ◽  
Vol 140 (4) ◽  
pp. 3408-3408
Author(s):  
Kevin Williams ◽  
Michael L. Boyd ◽  
Alexander G. Soloway ◽  
Eric I. Thorsos ◽  
Steven G. Kargl ◽  
...  
Keyword(s):  
Data Analysis ◽  
The Arctic ◽  
Experiment Data ◽  
Noise Background ◽  
Background Levels ◽  
Event Tracking ◽  
Arctic Ice ◽  
Ice Pack

scholarly journals A plugin-based approach to data analysis for the AMS experiment on the ISS

2019 ◽  
Vol 214 ◽  
pp. 05038
Author(s):  
Valerio Formato
Keyword(s):  
Data Analysis ◽  
Execution Time ◽  
Experiment Data ◽  
Meaningful Information ◽  
Multiple Users ◽  
Data Formats ◽  
Typical Data ◽  
Analysis Workflow ◽  
Data Result

In many HEP experiments a typical data analysis workflow requires each user to read the experiment data in order to extract meaningful information and produce relevant plots for the considered analysis. Multiple users accessing the same data result in a redundant access to the data itself, which could be factorized effectively improving the CPU efficiency of the analysis jobs and relieving stress from the storage infrastructure. To address this issue we present a modular and lightweight solution where the users code is embedded in different "analysis plugins" which are then collected and loaded at runtime for execution, where the data is read only once and shared between all the different plugins. This solution was developed for one of the data analysis groups within the AMS collaboration but is easily extendable to all kinds of analyses and workloads that need I/O access on AMS data or custom data formats and can even adapted with little effort to another HEP experiment data. This framework could then be easily embedded into a "analysis train" and we will discuss a possible implementation and different ways to optimise CPU efficiency and execution time.

Fatigue Test Plan to Obtain S-N Curves

2002 ◽  
Author(s):  
Joa˜o Ma´rio Andrade Pinto ◽  
Enrico A. Colosimo ◽  
Tanius Rodrigues Mansur ◽  
Julio Ricardo Barreto Cruz ◽  
Ernani Sales Palma ◽  
...  
Keyword(s):  
Fatigue Test ◽  
Fatigue Tests ◽  
Test Plan ◽  
Practical Application ◽  
Lower Stress ◽  
Precise Data ◽  
Rotating Machine ◽  
Stress Levels ◽  
Optimum Plan ◽  
Sae 8620 Steel

S-N curves of structural materials are obtained through fatigue tests. These tests are often performed using five different stress levels, with fifteen test specimens for each stress level. This kind of test plan provides estimates that are less precise compared to other experimental plans, for example, the ones called optimum plan or compromise plan. The main reason for this drawback is the use of the same number of specimens for all stress levels. It has been observed that less precise results are obtained for lower stress levels because failure occurs less frequently. That is why more specimens should be used for lower stress levels as compared to higher stress levels. As long as the number of specimens to be tested at low stress levels is increased, the total number of failures will also increase, which allows one to develop a more precise data analysis. The objective of this work is to present an alternative experimental plan to obtain S-N curves, which intends to provide accurate estimators. A practical application is done for planning a fatigue test, in a flex-rotating machine, to obtain the S-N curve of SAE 8620 steel.

Noise Background Levels and Noise Event Tracking/Characterization Under the Arctic Ice Pack: Experiment, Data Analysis, and Modeling

2018 ◽  
Vol 43 (1) ◽  
pp. 145-159 ◽  
Author(s):  
Kevin L. Williams ◽  
Michael L. Boyd ◽  
Alexander G. Soloway ◽  
Eric I. Thorsos ◽  
Steven G. Kargl ◽  
...  
Keyword(s):  
Data Analysis ◽  
The Arctic ◽  
Experiment Data ◽  
Noise Background ◽  
Background Levels ◽  
Event Tracking ◽  
Arctic Ice ◽  
Ice Pack

scholarly journals A Practical Application of Analytic Guiding Frame (AGF) and Overall Guiding Frame (OGF): An Illustration from Literacy Education

2019 ◽  
Author(s):  
Su Li Chong
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Analytical Method ◽  
Iterative Process ◽  
Qualitative Data ◽  
Literacy Education ◽  
Analytical Problem ◽  
Practical Application ◽  
Qualitative Data Analysis ◽  
Research Questions

This paper illustrates how the Analytic Guiding Frame (AGF) and the Overall Guiding Frame (OGF) are applied when analytic shifts occur in qualitative data analysis. Analytic shifts mainly occur when a proposed analytical method is found to be not fully amenable for analysis because of the contextually-bound nature of qualitative data. In this paper, the illustration located in the field of literacy education revolves around how a methodological and analytical problem was confronted during the fieldwork/analysis stage of research and how analytic negotiations were made with the help of the AGF/OGF framework. From here, it is proposed that much more consideration on matters of epistemology, methodology, research objective and research questions in qualitative research must be made when the iterative process of qualitative data analysis takes place.

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