scholarly journals In-House Software Development for Data Visualization of Random Motion Configuration of Particles in Fluid

2021 ◽  
Vol 32 (1) ◽  
pp. 32-37
Author(s):  
Septian Ulan Dini ◽  
Sparisoma Viridi
Keyword(s):  
Data Visualization ◽  
Simple Algorithm ◽  
Random Motion ◽  
Two Dimensional ◽  
Motion Simulation ◽  
Data Format ◽  
Python Programming Language ◽  
Simulation Results ◽  
Python Programming ◽  
Many Particles

This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.

scholarly journals In-House Software Development for Data Visualization of Random Motion Configuration of Particles in Fluid

2021 ◽  
Vol 32 (1) ◽  
pp. 32-37
Author(s):  
Septian Ulan Dini ◽  
Sparisoma Viridi
Keyword(s):  
Data Visualization ◽  
Simple Algorithm ◽  
Random Motion ◽  
Two Dimensional ◽  
Motion Simulation ◽  
Data Format ◽  
Python Programming Language ◽  
Simulation Results ◽  
Python Programming ◽  
Many Particles

This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.

scholarly journals Development of Computer Vision Applications to Automate the Measurement of the Dimensions of Skin Wounds

Proceedings ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 18
Author(s):  
David Sánchez-Jiménez ◽  
Fernando Buchón-Moragues ◽  
Begoña Escutia-Muñoz ◽  
Rafael Botella-Estrada
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Programming Language ◽  
Three Dimensional ◽  
Skin Wounds ◽  
Two Dimensional ◽  
Python Programming Language ◽  
Computer Vision Applications ◽  
Python Programming

This paper shows the progress in the development of two computer vision applications for measuring skin wounds. Both applications have been written in Python programming language and make use of OpenCV and Scipy open source libraries. Their objective is to be part of a software that calculates the dimensions of skin wounds in an objective and reliable way. This could be useful in the clinical follow-up, assessing the evolution of skin wounds, as well as in research, comparing the efficacy of different treatments. Merging these two applications into a single one would allow to generate two-dimensional results in real time, and three-dimensional results after a few hours of processing.

scholarly journals Pemodelan Arus Stator Motor Induksi Tiga Fasa dengan Metode Gear

2020 ◽  
Vol 8 (3) ◽  
pp. 657
Author(s):  
NANANG MULYONO ◽  
DWI SEPTIYANTO ◽  
SUYANTO SUYANTO
Keyword(s):  
Induction Motor ◽  
Motor Simulation ◽  
Literature Study ◽  
Stator Current ◽  
Python Programming Language ◽  
Maximum Value ◽  
Three Phase ◽  
Simulation Results ◽  
Python Programming ◽  
Peak Value

ABSTRAKPenelitian ini mendiskusikan proses dan hasil implementasi pemodelan arus stator motor induksi tiga fasa dengan metode Gear. Tujuan penelitian ini adalah menghasilkan program simulasi motor listrik yang mampu menampilkan karakteristik dinamik arus stator motor induksi tiga fasa. Metodologi penyelesaian penelitian ini dimulai dari ide dasar, studi literature, perancangan, pembuatan dan pengujian software. Penerapan metode Gear dibuat dengan bahasa Python. Hasil simulasi arus stator yang diamati pada kondisi transien dan tunak, yaitu nilai maksimum, nilai minimum, waktu transisi dan nilai peak-to-peak. Hasil simulasi tersebut dibandingkan dengan hasil simulasi menggunakan modul solver ODE15 yang tersedia pada Matlab. Simulator yang dibuat dapat mensimulasikan perilaku dinamik motor induksi tiga fasa dengan perbedaan 1,5 %, 0,93 % dan 1,5 % secara berturut-turut untuk arus stator fasa-a, arus stator fasa-b dan arus stator fasa-c.Kata kunci: model dinamik, motor induksi, metode Gear, ODE15 ABSTRACTThis study discusses the process and results of implementing the stator current modeling of the three-phase induction motor using the Gear method. This study aims to produce an electric motor simulation program that can display the dynamic characteristics of the stator current of a three-phase induction motor. The methodology of completing this research is the basic idea, literature study, design, creation, and software testing. The application of the Gear method is made with the Python programming language. Stator current simulation results are observed in transient and steady conditions, namely the maximum value, minimum value, transition time, and peak-to-peak value. The simulation results are compared with the simulation results using the ODE15 solver module available in Matlab. The simulator created can simulate the dynamic behavior of the stator current of a three-phase induction motor with a difference of 1.5%, 0.93%, and 1.5% respectively for phase-a, phase-b, and phase-c.Keywords: dynamic model, induction motor, Gear method, ODE15

A Python application to generate digital signals

2020 ◽  
Vol 65 (1) ◽  
pp. 96-104
Author(s):  
Tatian-Cristian Mălin
Keyword(s):  
Numerical Simulation ◽  
Programming Language ◽  
Digital Signals ◽  
Python Programming Language ◽  
Python Programming

We introduce in this paper an application developed in the Python programming language that can be used to generate digital signals with known frequencies and amplitudes. These digital signals, since have known parameters, can be used to create benchmarks for test and numerical simulation.

Design of finite-time guidance law based on observer and head-pursuit theory

2021 ◽  
pp. 095441002098456
Author(s):  
Chenqi Zhu
Keyword(s):  
Finite Time ◽  
Three Dimensional ◽  
Hypersonic Vehicle ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Reaching Law ◽  
Guidance Law ◽  
Fast Power ◽  
Simulation Results ◽  
Guidance Laws

In order to improve the guiding accuracy in intercepting the hypersonic vehicle, this article presents a finite-time guidance law based on the observer and head-pursuit theory. First, based on a two-dimensional model between the interceptor and target, this study applies the fast power reaching law to head-pursuit guidance law so that it can alleviate the chattering phenomenon and ensure the convergence speed. Second, target maneuvers are considered as system disturbances, and the head-pursuit guidance law based on an observer is proposed. Furthermore, this method is extended to a three-dimensional case. Finally, comparative simulation results further verify the superiority of the guidance laws designed in this article.

Direct simulation of evolution and control of three-dimensional instabilities in attachment-line boundary layers

1995 ◽  
Vol 291 ◽  
pp. 369-392 ◽  
Author(s):  
Ronald D. Joslin
Keyword(s):  
Boundary Layer ◽  
Stokes Equations ◽  
Three Dimensional ◽  
Plate Boundary ◽  
Navier Stokes ◽  
Two Dimensional ◽  
Computationally Efficient ◽  
Simulation Results ◽  
Dimensional Simulation ◽  
Attachment Line

The spatial evolution of three-dimensional disturbances in an attachment-line boundary layer is computed by direct numerical simulation of the unsteady, incompressible Navier–Stokes equations. Disturbances are introduced into the boundary layer by harmonic sources that involve unsteady suction and blowing through the wall. Various harmonic-source generators are implemented on or near the attachment line, and the disturbance evolutions are compared. Previous two-dimensional simulation results and nonparallel theory are compared with the present results. The three-dimensional simulation results for disturbances with quasi-two-dimensional features indicate growth rates of only a few percent larger than pure two-dimensional results; however, the results are close enough to enable the use of the more computationally efficient, two-dimensional approach. However, true three-dimensional disturbances are more likely in practice and are more stable than two-dimensional disturbances. Disturbances generated off (but near) the attachment line spread both away from and toward the attachment line as they evolve. The evolution pattern is comparable to wave packets in flat-plate boundary-layer flows. Suction stabilizes the quasi-two-dimensional attachment-line instabilities, and blowing destabilizes these instabilities; these results qualitatively agree with the theory. Furthermore, suction stabilizes the disturbances that develop off the attachment line. Clearly, disturbances that are generated near the attachment line can supply energy to attachment-line instabilities, but suction can be used to stabilize these instabilities.

An Open Source Finance System for Stocks Backtesting Trade Strategies

2021 ◽  
Vol 12 (2) ◽  
pp. 52-65
Author(s):  
Eviatar Rosenberg ◽  
Dima Alberg
Keyword(s):  
User Interface ◽  
Open Source ◽  
Programming Language ◽  
Capital Market ◽  
Historical Data ◽  
Trading Strategies ◽  
Market Volatility ◽  
Finance System ◽  
Python Programming Language ◽  
Python Programming

A significant part of pension savings is in the capital market and exposed to market volatility. The COVID-19 pandemic crisis, like the previous crises, damaged the gains achieved in those funds. This paper presents a development of open-source finance system for stocks backtesting trade strategies. The development will be operated by the Python programming language and will implement application user interface. The system will import historical data of stocks from financial web and will produce charts for analysis of the trends in stocks price. Based on technical analysis, it will run trading strategies which will be defined by the user. The system will output the trade orders that should have been executed in retrospect and concluding charts to present the profit and loss that would occur to evaluate the performance of the strategy.

Using Distributed Cloud Computing to Solve Resource-Intensive Tasks

2021 ◽  
Vol 12 (5) ◽  
pp. 233-254
Author(s):  
D. Yu. Bulgakov ◽  
Keyword(s):  
Cloud Computing ◽  
Point Of View ◽  
Free Software ◽  
Production Environment ◽  
Learning Models ◽  
Python Programming Language ◽  
Task Processing ◽  
Python Programming ◽  
Distributed Cloud ◽  
Machine Learning Models

A method for solving resource-intensive tasks that actively use the CPU, when the computing resources of one server become insufficient, is proposed. The need to solve this class of problems arises when using various machine learning models in a production environment, as well as in scientific research. Cloud computing allows you to organize distributed task processing on virtual servers that are easy to create, maintain, and replicate. An approach based on the use of free software implemented in the Python programming language is justified and proposed. The resulting solution is considered from the point of view of the theory of queuing. The effect of the proposed approach in solving problems of face recognition and analysis of biomedical signals is described.

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