scholarly journals Parametric process of a box-counting model for evaluation of fractal compositions

arq.urb ◽  
2021 ◽  
pp. 114-124
Author(s):  
Pedro Oscar Pizzetti Mariano ◽  
Gabriela Pinho Mallmann
Keyword(s):  
Direct Relationship ◽  
Fractal Structure ◽  
Geometric Patterns ◽  
Box Counting ◽  
Sequential Tests ◽  
Proportional Increase ◽  
Counting Model

his article seeks to create and evaluate a parametric process that allows identifying the D dimension in fractal compositions through a Box-counting tool. The use of this method in a parametric process allows sequential tests that can confirm whether a composition is a fractal structure. The theoretical survey and the development of a parametric process in a visual algorithm were carried out for the development of this research. The tests with the tool took place in linear fractal compositions already known and developed in another research. As a result, it was possible to compare the D dimension of different compositions, made with fractal geometric patterns. In the conclusion, it was possible to observe that the process through a parametric tool was successful in making it possible to evaluate compositions and arrangements in an agile way. A direct relationship was identified between the iterations used and the proportional increase dimension D.

scholarly journals The linkage between box-counting and geomorphic fractal dimensions in the fractal structure of river networks: the junction angle

2020 ◽  
Vol 51 (6) ◽  
pp. 1397-1408
Author(s):  
Xianmeng Meng ◽  
Pengju Zhang ◽  
Jing Li ◽  
Chuanming Ma ◽  
Dengfeng Liu
Keyword(s):  
Fractal Dimension ◽  
Fractal Structure ◽  
Fractal Dimensions ◽  
River Networks ◽  
Stream Length ◽  
Box Counting ◽  
Linear Relationships ◽  
Box Counting Dimension ◽  
Junction Angle

Abstract In the past, a great deal of research has been conducted to determine the fractal properties of river networks, and there are many kinds of methods calculating their fractal dimensions. In this paper, we compare two most common methods: one is geomorphic fractal dimension obtained from the bifurcation ratio and the stream length ratio, and the other is box-counting method. Firstly, synthetic fractal trees are used to explain the role of the junction angle on the relation between two kinds of fractal dimensions. The obtained relationship curves indicate that box-counting dimension is decreasing with the increase of the junction angle when geomorphic fractal dimension keeps constant. This relationship presents continuous and smooth convex curves with junction angle from 60° to 120° and concave curves from 30° to 45°. Then 70 river networks in China are investigated in terms of their two kinds of fractal dimensions. The results confirm the fractal structure of river networks. Geomorphic fractal dimensions of river networks are larger than box-counting dimensions and there is no obvious relationship between these two kinds of fractal dimensions. Relatively good non-linear relationships between geomorphic fractal dimensions and box-counting dimensions are obtained by considering the role of the junction angle.

scholarly journals Research on a Fractal Dimension Calculation Method for a Nano-Polymer Microspheres Dispersed System

2021 ◽  
Vol 9 ◽  
Author(s):  
Wenyue Zhao ◽  
Jinming Yan ◽  
Ganggang Hou ◽  
Pengxiang Diwu ◽  
Tongjing Liu ◽  
...  
Keyword(s):  
Particle Size ◽  
Fractal Dimension ◽  
Calculation Method ◽  
Average Particle Size ◽  
Average Particle ◽  
New Model ◽  
Box Counting ◽  
Dispersed System ◽  
Calculation Results ◽  
Counting Model

Polymer microspheres (PMs) are a kind of self-similar volume expansion particle, and their fractal dimension varies with hydration swelling. However, there is no unique fractal dimension calculation method for their characteristics. A new model is established in this paper, which is particular to calculate the fractal dimension of PMs. We carried out swelling hydration experiments and scanning electron microscope (SEM) experiments to verify the new model. The new model and the box-counting model were used to calculate the fractal dimensions of PMs based on the hydration experiment results. Then, a comparison of the calculation results of the two methods was used to verify the validity of the model. Finally, according to the new model calculation results, the fractal dimension characteristics of PMs were analyzed. The research results indicate that the new model successfully correlates the cumulative probability of the PMs dispersed system with the fractal dimension and makes fractal dimension calculation of PMs more accurate and convenient. Based on the experiment results, the new model was used to calculate the fractal dimension of PMs and the box-counting model, and its findings were all 2.638 at initial state hydration and 2.739 and 2.741 at hydration time as of day 1. This result verifies the correctness of the new model. According to the hydration swelling experiments and the new model calculation results, the fractal dimension is linear correlated to the average particle size of PMs and the standard deviation average particle size. This means the fractal dimension of PMs represents the space occupancy ability and space occupancy effectiveness.

Structuring, Motions and Shapes of Corona Emission Line Profiles

1994 ◽  
Vol 144 ◽  
pp. 421-426
Author(s):  
N. F. Tyagun
Keyword(s):  
Emission Line ◽  
Filling Factor ◽  
Direct Relationship ◽  
Coronal Plasma ◽  
Line Of Sight ◽  
Line Profiles ◽  
The Difference ◽  
Yellow Line ◽  
Red Line

AbstractThe interrelationship of half-widths and intensities for the red, green and yellow lines is considered. This is a direct relationship for the green and yellow line and an inverse one for the red line. The difference in the relationships of half-widths and intensities for different lines appears to be due to substantially dissimilar structuring and to a set of line-of-sight motions in ”hot“ and ”cold“ corona regions.When diagnosing the coronal plasma, one cannot neglect the filling factor - each line has such a factor of its own.

Pengembangan Alat Pengenalan Bentuk Bangun Geometri Untuk Anak Usia Dini Berbasis Mikrokontroler

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 186-196
Author(s):  
Mochamad Fajar Wicaksono ◽  
Muammar Qhadafhi
Keyword(s):  
Early Childhood ◽  
Success Rate ◽  
Geometric Patterns ◽  
Selection Mode ◽  
Geometry Learning

The purpose of this study is to design geometry learning media for early childhood. The tool designed is an interactive introduction tool, so it is hoped can attract early childhood children to learn to recognize and remember geometric patterns. The main brain of the system created is Arduino Mega with microcontroller ATMega2560. The tool created has two modes, namely learning mode and question mode. In learning mode, early childhood can insert geometry objects into the tool, then the tool will provide a description of the image on the LCD and the sound associated with the object entered. In question mode, early childhood will be challenged to enter the geometry objects into the tool according to the question, then the tool will determine whether the geometry entered is correct or false. This learning media is expected to help early childhood to be able to recognize and remember every form of geometry, where based on the results of the test, the selection mode on the tool was 100% successful, the process in the learning mode and the question mode had a success rate of more than 80%.

Designing a business unit and creating the first ever responsive kitchen

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Paolo FESTA ◽  
Tommaso CORA ◽  
Lucilla FAZIO
Keyword(s):  
Value Creation ◽  
Product Innovation ◽  
Research Laboratory ◽  
Direct Relationship ◽  
Multidisciplinary Approach ◽  
Design Thinking ◽  
Business Unit ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
The Relationship

Is it possible to transform stone into a technological and innovative device? The meeting with one of the main stone transformers in Europe produced the intention of a disruptive operation that could affect the strategy of the whole company. A contagious singularity. By intertwining LEAN methodologies and the human-centric approach of design thinking, we mapped the value creation in the company activating a dialogue with the workers and the management, listening to people, asking for ambitions, discovering problems and the potential of production. This qualitative and quantitative analysis conducted with a multidisciplinary approach by designers, architects and marketing strategists allowed us to define a new method. We used it to design a platform that could let all the players express their potential to the maximum. This is how the group's research laboratory was born, with the aim of promoting the relationship between humans and stone through product innovation. With this goal, we coordinated the new team, developing technologies that would allow creating a more direct relationship between man and surface, making the stone reactive. The result was the first responsive kitchen ever.

Organizational Justice and Employee Sustainability: The Mediating Role of Organizational Commitment

2020 ◽  
Vol 3 (3) ◽  
pp. 12-22
Author(s):  
Mehreen Fatima ◽  
Zeeshan Izhar ◽  
Zaheer Abbas Kazmi
Keyword(s):  
Organizational Commitment ◽  
Organizational Justice ◽  
Developing Country ◽  
Design Methodology ◽  
Direct Relationship ◽  
Banking Sector ◽  
Mediating Role ◽  
Research Gap ◽  
The Impact

Purpose- The primary purpose of the study is to determine the impact of organizational justice (OJ) on employee sustainability. Along with that, it also describes how organizational commitment mediates this direct relationship. This study includes all dimensions of OJ which are distributive, procedural and interactional (interpersonal & informational) within the context of a developing country (Pakistan). Design/Methodology- This study has considered employees working in the banking sector of Pakistan. Two hundred ten questionnaires were received back from employees. Regression analysis was used to analyze direct relationships between variables, while smart partial least squares (PLS) were used for mediation analysis. Findings- Results demonstrated that all hypothesis were accepted and it was also confirmed that organizational commitment (OC) mediates the direct relationship between OJ and employee sustainability (ES). Originality/value- Multidimensional construct of organizational justice was tested in this study, in the context of a developing country (Pakistan), to address the research gap.

A Meta Analytic Review of the Relationship between Emotional Intelligence and Leadership Effectiveness

2019 ◽  
Vol 118 (9) ◽  
pp. 118-126
Author(s):  
Augusty P. A ◽  
Jain Mathew
Keyword(s):  
Systematic Review ◽  
Emotional Intelligence ◽  
Direct Relationship ◽  
Effective Leadership ◽  
Leadership Effectiveness ◽  
Meta Analysis ◽  
Correlation Coefficients ◽  
Review Of Literature ◽  
Analytic Review ◽  
The Relationship

The study evaluates the relationship between Emotional Intelligence and Leadership Effectiveness through a Systematic Review of Literature. The relationship has been evaluated in two steps. First, a Systematic review of literature was done to provide a theoretical framework to link the dimensions of Emotional Intelligence to the elements of effective leadership. Meta-analysis was then used to consolidate empirical evidence of the relationship. The studies for the meta-analysis were sourced from Pro Quest and EBSCO and the correlation coefficients of the studies were analysed. Only articles that presented the direct relationship between the variables were included in the study. The results of the analysis revealed a strong, statistically significant relationship between emotional intelligence and effective leadership. The findings of the study provide evidence for the proposition that Emotional Intelligence and Leadership Effectiveness are interrelated.

A FORECAST OF PRODUCTIVE LONGEVITY OF HOLSTEIN COWS BY INDIRECT SIGNS

2020 ◽  
Author(s):  
З.С. САНОВА
Keyword(s):  
Correlation Coefficient ◽  
Aging Process ◽  
Direct Relationship ◽  
Stability Index ◽  
Age At First Calving ◽  
Group I ◽  
Predicted Values ◽  
The Stability ◽  
Relationship Of ◽  
The Relationship

В статье представлены материалы о взаимосвязи продолжительности продуктивного использования коров с характеристикой устойчивости к деградации, с возрастом отела и удоем. В исследованной, разнородной по происхождению, группе животных для прогноза продуктивного периода коров, обусловленного устойчивостью к деградации и возрастом первого отела, пригодно уравнение регрессии, аргументами в котором являются индекс устойчивости, возраст первого отела в первой и второй степенях. Коэффициент корреляции межу предсказанными значениями продуктивного периода и его фактическими величинами в I группе составляет 0,502, во II - 0,604. При этом крайние варианты прогнозируются со статистическими ошибками 5 мес при оценке индекса устойчивости по 2 лактациям и 4,1 мес по 3, а средние варианты, соответственно, 1,6 и 1,51 мес. Индекс устойчивости к процессу старения является важной характеристикой биологических особенностей коров, определяющий их продуктивное долголетие. Его оценка по первым 2 и 3 лактациям имеет прямолинейную связь с продуктивным периодом (r=0,4109 и r=0,5270), соответственно. Зависимость продуктивного периода от возраста первого отела криволинейная — с увеличением возраста первого отела сокращается срок продуктивного использования, при возрасте первого отела более 1400 дней срок продуктивного использования колеблется от 1,33 до 1,41 лактации. Коэффициент корреляции между этими характеристиками коров составляет - 0,2164 в I и - 0,2620 во II группах. The article presents materials about the relationship of the duration of productive use of cows with the characteristic of resistance to degradation, with the age of calving and milk yield. In the studied group of animals, which is heterogeneous in origin, the regression equation is suitable for predicting the productive period of cows due to resistance to degradation and the age of the first calving, the arguments of which are the stability index, the age of the first calving in the first and second degrees. The correlation coefficient between the predicted values of the productive period and its actual values in group I is 0.502, in group II - 0.604. At the same time, the extreme variants are predicted with statistical errors of 5 months when evaluating the stability index for 2 lactations and 4.1 months for 3, and the average variants, respectively, are 1.6 and 1.51 months. The index of resistance to the aging process is an important characteristic of the biological characteristics of cows, which determines their productive longevity. Its estimate for the first 2 and 3 lactations has a direct relationship with the productive period (r=0.4109 and r=0.5270), respectively. The dependence of the productive period age at first calving curvilinear with increasing age at first calving reduces the time to productive use, while age at first calving of more than 1400 days, the period of productive use ranges from 1.33 to 1.41 lactation. The correlation coefficient between these characteristics of cows is-0.2164 in I and-0.2620 in II groups.

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