scholarly journals Evaluation of Microtexture Changes of Coarse Aggregate during Simulated Polishing

2016 ◽  
Vol 62 (2) ◽  
pp. 19-34 ◽  
Author(s):  
W. Gardziejczyk ◽  
M. Wasilewska
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Coarse Aggregate ◽  
Digital Images ◽  
Optical Microscope ◽  
Steelmaking Slag ◽  
Reflection Mode ◽  
Petrographic Characteristic

Abstract This paper presents application of optical microscope for evaluation of microtexture changes of coarse aggregate during simulated polishing in laboratory. Observations of the apparent changes on surfaces of seven different aggregates are presented. Simulation polishing of aggregate was performed in accordance with PN-EN 1097-8:2009. Images of the aggregate surface were taken with the optical microscope in the reflection mode in particular stages of polishing. Digital images were analyzed. Standard deviation was determined on the basis of the histogram of intensities from digital images of the surfaces of aggregate grains which was assumed as the measure of changes in microtexture during simulated polishing (namely the σn parameter). Statistical analysis has shown that the changes of the σn parameter between the particular stages of polishing confirm certain trends related to the petrographic characteristic of the rocks. Aggregates which included minerals of similar hardness (granodiorite, dolomile, basall) were more prone to polishing than gabbro and postglacial. Regeneration of the microtexture, the recovery to its original asperity, occurred in the case of quartz sandstone and steelmaking slag.

Non-Subsampled Contourlet Texture Retrieval Using Four Estimators

2012 ◽  
Vol 263-266 ◽  
pp. 167-170 ◽  
Author(s):  
Xin Wu Chen ◽  
Jing Ge ◽  
Jin Gen Liu
Keyword(s):  
Wavelet Transform ◽  
Standard Deviation ◽  
Digital Images ◽  
Contourlet Transform ◽  
Retrieval Algorithm ◽  
Retrieval Rate ◽  
Retrieval Systems ◽  
Texture Information ◽  
Shift Invariance ◽  
Texture Retrieval

Contourlet transform is superior to wavelet transform in representing texture information and sparser in describing geometric structures in digital images, but lack of robust character of shift invariance. Non-subsampled contourlet transform (NSCT) alleviates this shortcoming hence more suitable for texture and has been studied for image de-noising, enhancement, and retrieval situations. Focus on improving the retrieval rates of existing contourlet transforms retrieval systems, a new texture retrieval algorithm was proposed. In the algorithm, texture information was represented by four statistical estimators, namely, L2-energy, kurtosis, standard deviation and L1-energy of each sub-band coefficients in NSCT domain. Experimental results show that the new algorithm can make a higher retrieval rate than the combination of standard deviation and energy which is most commonly used today.

scholarly journals Statistical analysis of solid waste composition data: Arithmetic mean, standard deviation and correlation coefficients

2017 ◽  
Vol 69 ◽  
pp. 13-23 ◽  
Author(s):  
Maklawe Essonanawe Edjabou ◽  
Josep Antoni Martín-Fernández ◽  
Charlotte Scheutz ◽  
Thomas Fruergaard Astrup
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Solid Waste ◽  
Correlation Coefficients ◽  
Arithmetic Mean ◽  
Composition Data ◽  
Waste Composition

scholarly journals Application of descriptive statistics in analysis of experimental data

2008 ◽  
Vol 62 (1-2) ◽  
pp. 85-95
Author(s):  
Milorad Mirilovic ◽  
Ivana Pejin
Keyword(s):  
Experimental Data ◽  
Statistical Analysis ◽  
Standard Deviation ◽  
Arithmetic Mean ◽  
Descriptive Statistics ◽  
Qualitative Investigation ◽  
Scientific Methods ◽  
The Subject ◽  
Variation Interval ◽  
Descriptive Statistical Analysis

Statistics today represent a group of scientific methods for the quantitative and qualitative investigation of variations in mass appearances. In fact, statistics present a group of methods that are used for the accumulation, analysis, presentation and interpretation of data necessary for reaching certain conclusions. Statistical analysis is divided into descriptive statistical analysis and inferential statistics. The values which represent the results of an experiment, and which are the subject of observation of a certain occurrence, are called parameters and they are divided into descriptive and numerical. All numerical parameters are divided into non-continuous and continuous. The graphic presentation of the distribution of frequencies can be by poligon or histogram. The most frequently applied descriptive statistical methods are: arithmetic mean, standard deviation, standard error of arithmetic mean, variation coefficient, and variation interval.

scholarly journals Verification of normal distribution of welding distortions

2019 ◽  
Vol 91 (3) ◽  
Author(s):  
Damian Grzesiak ◽  
Jarosław Plichta
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Normal Distribution ◽  
Sheet Metal ◽  
Welding Process ◽  
Experiment Planning ◽  
Geometrical Parameters ◽  
Butt Welds ◽  
Planning Methods ◽  
Smirnov Test

The aim of this paper is to answer the question of the distribution of welding distortions. The MIG method was used to make 31 butt welds of 0H18N9 sheet metal, of 6 mm thickness and dimensions 150x350 mm. All joints are made with constant parameters of the welding process. Statistical analysis of the distribution and Kolomogorov-Smirnov test were used in this paper. On the grounds of the analysis it was proved that the distribution of welding deformations is a normal distribution. This justifies the use of experiment planning methods and the use of average values. The relatively high value of the standard deviation makes it necessary to take into account the geometrical parameters of the joint.

scholarly journals THE RESEARCH OF SENTENCE LENGTH, WORDS AND PERIODICITY OF WORD FORMS IN THE COLLECTIONS OF PETRO KARMANSKY

2020 ◽  
Vol 11 (87) ◽  
Author(s):  
Liliia Solovei ◽  
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Sentence Length ◽  
Creative Work ◽  
Maximum Value ◽  
The World ◽  
Word Forms ◽  
Object Of Study ◽  
Individual Style ◽  
Linguistic Means

This work researched the linguostatistical indicators of poetic works of P. Karmansky, in particular the lengths of sentences, words and word forms are comprehensively calculated and analyzed. The following values that characterize the poet’s idiostyle are calculated: the number of values (n); maximum value (max); minimum value (min); scope (R); fashion (Mo); median (Md); average (X ̇); standard deviation (σ); coefficient of variation (V); standard error (Sx ̇); relative error (ε). The main object of study of the writer’s idiostyle is the language of his works of art, the set of linguistic means that decide the artist as an individual among others. The unified basis of all units of idiosyncrasy is the author’s worldview. Therefore, the problem of studying individual style is closely related to the problems of the linguistic picture of the world and the linguistic personality of the writer. P. Karmansky’s poetry is an interesting and little-studied phenomenon in Ukrainian literature. In listening to a number of researchers considered the life of P. Karmansky, separately thematic work, characterized by the peculiarities of those who compose his poetics. Instead, the creative work of P. Karmansky did not become the object of linguistic and statistical analysis, which determines the relevance and novelty of the study. The research corpus systematizes the author's poetry is systematized on the basis of his collections, publications in contemporary periodicals and manuscripts. The material of the study was the texts of Petro Karmansky’s collection «Poeziyi», published in Kyiv by «Ukrayinskyy pysmennyk» in 1992, which is considered one of the most complete collections, containing previously unpublished poems (the total number of poems in this collection - 334). The analysis showed that Karmansky used to use sentences of four words and words of four letters. The list of the nine most common word forms that appeared in Karmansky’s selected poems is «і» – 1714 times, «в» – 1157 times, «не» – 605 разів, «з» – 532, «на» – 507, «що» – 461, «як» – 429, «я» – 326, «а» – 207. It turns out how the poetic handwriting of the artist changed during his life.It turns out how the poetic handwriting of the artist changed during his life.

scholarly journals Pengaruh Penerapan Model Pembelajaran Kooperatif Tipe Teams Games Tournament Berbasis Scramble terhadap Motivasi dan Hasil Belajar Siswa SMA Kristen GPID Palu

2018 ◽  
Vol 7 (1) ◽  
pp. 36
Author(s):  
Sifra Bertin Mbosisi ◽  
Kasmudin Mustapa ◽  
Ratman Ratman
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Cooperative Learning ◽  
Learning Outcomes ◽  
Learning Model ◽  
T Test ◽  
Average Score ◽  
Significance Level ◽  
Model Type ◽  
Motivation And Learning

This study aimed to determine the effect of the cooperative learning model type teams scramble tournament games based scramble on motivation and learning outcomes students SMA Kristen GPID Palu. The population in this study were all students of class X. The research sample was students (n = 25) of class Xa as a control class and students (n= 24) of class Xb as an experiment class. The testing of student’s learning outcomes data was using the statistical analysis t-test of the two parties and the testing of student’s' motivation using the questionnaire data used a descriptive analysis. The average score of student’s learning outcomes of the experiment class (X1) was 52.83 with a standard deviation of 11.97 and the control class (X2) was 48.12 with a standard deviation of 11.37. Based on the statistical analysis of the hypothesis by t-test two parties, it was obtained that –ttable ≤ tcalculation ³ +ttable (tcalculation = 2.09 and ttable = 2.02) with a significance level a = 0.05 and degrees of freedom = 47, then H0 was rejected and Ha was accepted, therefore it can be said that there is a difference in student’s learning outcomes using cooperative learning model type teams tournament games based scramble. The results of the data analysis of student motivation indicated that the percentage value for the experimental class was 83.4% and for the control class was 81.21% and both were on the agrees attitude with the positive category, so it can be concluded that there is an influence of the cooperative learning model type teams scramble tournament games based scramble on motivation and learning outcomes of students SMA Kristen GPID Palu.

Modernization of optical microscope and its use to obtain digital images of microstructure of deposited metal

2020 ◽  
Vol 2020 (12) ◽  
pp. 52-57
Author(s):  
A.A. Babinets ◽  
◽  
I.O. Riabtsev ◽  
I.P. Lentyugov ◽  
◽  
...  
Keyword(s):  
Digital Images ◽  
Optical Microscope ◽  
Deposited Metal

THE STUDY NOISE OF THE PULSE ENERGY OF THE IBR-2M REACTOR

2019 ◽  
pp. 48-54
Author(s):  
A.M. Abackumov ◽  
L.A. Tayibov ◽  
T. Tsogsaihan
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Pulse Energy ◽  
Structural Features ◽  
The Creation

This work is devoted to investigation of fluctuations of pulse energy of the IBR-2M reactor by the method of statistical analysis. There is a description of structural features of the IBR-2M reactor in this work and its main parameters are given. The principle of the creation of neutron pulses is shown. The work also contains a description of the method of statistical analysis and further calculations made by this method. Having the received data, a comparison of the estimates of the standard deviation with the available results for 2012 was made.

scholarly journals Classification and Statistical Trend Analysis in Detecting Glaucomatous Visual Field Progression

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Cristiana Valente ◽  
Elisa D’Alessandro ◽  
Michele Iester
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Visual Field ◽  
Trend Analysis ◽  
Open Angle Glaucoma ◽  
Mean Deviation ◽  
Threshold Strategy ◽  
Visual Field Progression ◽  
The Mean

Aim. To evaluate the agreement between different methods in detection of glaucomatous visual field progression using two classification-based methods and four statistical approaches based on trend analysis. Methods. This is a retrospective and longitudinal study. Twenty Caucasian patients (mean age 73.8 ± 13.43 years) with open-angle glaucoma were recruited in the study. Each visual field was assessed by Humphrey Field Analyzer, program SITA standard 30-2 or 24-2 (Carl Zeiss Meditec, Inc., Dublin, CA). Full threshold strategy was also accepted for baseline tests. Progression was analyzed by using Hodapp–Parrish–Anderson classification and the Advanced Glaucoma Intervention Study visual field defect score. For the statistical analysis, linear regression (r2) was calculated for mean deviation (MD), pattern standard deviation (PSD), and visual field index (VFI), and when it was significant, each series of visual field was considered progressive. We also used Progressor to look for a significant progression of each visual field series. The agreement between methods, based on statistical analysis and classification, was evaluated using a weighted kappa statistic. Results. Thirty-eight visual field series were analyzed. The mean follow-up time was 6.2 ± 1.53 years (mean ± standard deviation). At baseline, the mean MD was −7.34 ± 7.18 dB; at the end of the follow-up, the mean MD was −9.25 ± 8.65 dB; this difference was statistically significant (p<0.001). The agreement to detect progression was fair between all methods based on statistical analysis and classification except for PSD r2. A substantial agreement (κ = 0.698 ± 0.126) was found between MD r2 and VFI r2. With the use of all the statistical analysis, there was a better time-saving. Conclusions. The best agreement to detect progression was found between MD r2 and VFI r2. VFI r2 showed the best agreement with all the other methods. GPA2 can help ophthalmologists to detect glaucoma progression and to help in treatment decisions. PSD r2 was the worse method to detect progression.

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