Thermal Methods for Evaluating Flaws in Composite Materials: A New Approach to Data Analysis

2016 ◽  
pp. 267-275 ◽  
Author(s):  
Davide Palumbo ◽  
Umberto Galietti
Keyword(s):  
Data Analysis ◽  
Composite Materials ◽  
Thermal Methods ◽  
New Approach

scholarly journals Dimensions of National Ethos among Educated Youths in Malaysia

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Mohd Mahadee Ismail ◽  
Nor Azlili Hassan ◽  
Azlina Abdullah ◽  
Hairol Anuar Mak Din ◽  
Marzudi Md Yunus ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Holistic Model ◽  
Youth Group ◽  
New Approach ◽  
Chinese Youth ◽  
Youth Groups ◽  
Survey Techniques ◽  
Confirmatory Factor ◽  
Future Evaluation

This article focuses on dimensions of national ethos among educated youths in Malaysia by developing a confirmatory factor analysis (CFA) model. The main objective is to evaluate national ethos dimensions and develop a CFA model of the national ethos formation. These objectives are achieved by applying four main dimensions to confirm the formation of national ethos: values, feelings and spirit, beliefs and identity dimensions. The study was conducted using a quantitative approach through survey techniques involving 431 students of Universiti Putra Malaysia, comprising 241 Malay and 190 Chinese youth groups. The data analysis used the SEM-AMOS approach to develop a CFA model of the national ethos. The results confirm national ethos of educated youth is formed through the four main dimensions measured. The CFA model has achieved a good level of compatibility based on the set indicators (CMIN = 600.947, DF = 115, CMIN / DF = 5.226, p = 0.000, SRMR = 0.0937, RMSEA = 0.099, CFI = 0.927 and PNFI = 0.771). This study implies a CFA model as a new approach in national ethos formation among educated youths in Malaysia. A future evaluation of a non-educated youth group should also be implemented to assure that this model becomes a holistic model.

Development of a new approach to data analysis of complex systems: study of synchronization in the dynamics of solar activity parameters

2021 ◽  
Author(s):  
Valentin A. Yunusov ◽  
Sergey A. Demin ◽  
Sergey F. Timashev ◽  
Natalya Y. Demina
Keyword(s):  
Data Analysis ◽  
Solar Activity ◽  
Complex Systems ◽  
New Approach

scholarly journals A new approach for interexaminer reliability data analysis on dental caries calibration

2007 ◽  
Vol 15 (6) ◽  
pp. 480-485 ◽  
Author(s):  
Andréa Videira Assaf ◽  
Elaine Pereira da Silva Tagliaferro ◽  
Marcelo de Castro Meneghim ◽  
Cristiana Tengan ◽  
Antonio Carlos Pereira ◽  
...  
Keyword(s):  
Data Analysis ◽  
Dental Caries ◽  
Reliability Data ◽  
New Approach ◽  
Interexaminer Reliability

scholarly journals Tackling selection bias in sentencing data analysis: a new approach based on a scale of severity

2020 ◽  
Vol 54 (3) ◽  
pp. 1047-1073
Author(s):  
Jose Pina-Sánchez ◽  
John Paul Gosling
Keyword(s):  
Data Analysis ◽  
Selection Bias ◽  
New Approach

LAMDA-HAD, an Extension to the LAMDA Classifier in the Context of Supervised Learning

2020 ◽  
Vol 19 (01) ◽  
pp. 283-316 ◽  
Author(s):  
Luis Morales ◽  
José Aguilar ◽  
Danilo Chávez ◽  
Claudia Isaza
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Unsupervised Learning ◽  
Supervised Learning ◽  
Learning Algorithm ◽  
New Approach ◽  
Supervised And Unsupervised Learning ◽  
Training Stage

This paper proposes a new approach to improve the performance of Learning Algorithm for Multivariable Data Analysis (LAMDA). This algorithm can be used for supervised and unsupervised learning, based on the calculation of the Global Adequacy Degree (GAD) of one individual to a class, through the contributions of all its descriptors. LAMDA has the capability of creating new classes after the training stage. If an individual does not have enough similarity to the preexisting classes, it is evaluated with respect to a threshold called the Non-Informative Class (NIC), this being the novelty of the algorithm. However, LAMDA has problems making good classifications, either because the NIC is constant for all classes, or because the GAD calculation is unreliable. In this work, its efficiency is improved by two strategies, the first one, by the calculation of adaptable NICs for each class, which prevents that correctly classified individuals create new classes; and the second one, by computing the Higher Adequacy Degree (HAD), which grants more robustness to the algorithm. LAMDA-HAD is validated by applying it in different benchmarks and comparing it with LAMDA and other classifiers, through a statistical analysis to determinate the cases in which our algorithm presents a better performance.

A Novel Approach For Nanocarbon Composite Preparation

2012 ◽  
Vol 1454 ◽  
pp. 279-286 ◽  
Author(s):  
Albert G. Nasibulin ◽  
Tatyana Koltsova ◽  
Larisa I. Nasibulina ◽  
Ilya V. Anoshkin ◽  
Alexandr Semencha ◽  
...  
Keyword(s):  
Composite Materials ◽  
High Performance ◽  
Carbon Nanomaterials ◽  
Cement Clinker ◽  
New Approach ◽  
Mechanical And Electrical Properties ◽  
Novel Approach ◽  
Thermally Conductive ◽  
Ultrasound Sonication ◽  
Matrix Precursor

ABSTRACTCarbon nanotubes (CNTs), nanofibers (CNFs) and graphene are promising components for the next generation high performance structural and multi-functional composite materials. One of the largest obstacles to create strong, electrically or thermally conductive CNT/CNF composites is the difficulty of getting a good dispersion of the carbon nanomaterials in a matrix. Typically, time-consuming steps of the carbon nanomaterial purification, ultrasound sonication and functionalization are required. We utilized a new approach to grow CNTs/CNFs directly on the surface of matrix, matrix precursor or filler particles. As the precursor matrix and fillers we utilized cement (clinker), copper powder, fly ash particles, soil and sand. Carbon nanomaterials were successfully grown on these materials without additional catalyst. Investigations of the physical properties of the composite materials based on these carbon modified particles revealed enhancement in the mechanical and electrical properties.

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