scholarly journals : Applying QGIS software to manage database of street and house number in Binh Tho ward, Thu Duc district, Ho Chi Minh City

2020 ◽  
Vol 19 (01) ◽  
pp. 96-108
Author(s):  
Xuan T. Vo
Keyword(s):  
Urban Areas ◽  
Rapid Development ◽  
Source Code ◽  
Ho Chi Minh City ◽  
Infrastructure Development ◽  
Test Results ◽  
Python Programming Language ◽  
Python Programming ◽  
Map Interaction ◽  
House Number

Today, the rapid development of urban areas has led to the explosion of data volumes in land use change. The present development of infrastructure and housing has caused many difficulties in urban management, especially information of street name and house number. Therefore, the management and provision of information of street name and house number in a scientific and effective way is an urgent demand for all agencies, organizations and individuals in our society. Geographic information system (GIS) is developing increasingly and continuously and applied in many fields; QGIS is a new open source code software with many features, considered as one of the most powerful tools in designing and analysizing spatial database. Applying this software to manage database of name street and housing number will be better in managing construction and infrastructure development in urban areas which are suitable with the strategy of establishing smart city and e-government in our city and nation. The results of this study showed that the present and oriental organization of address built successfully a database of streets name, houses number and used Python programming language in developing the tool to manage and look up the information with functions such as look up, update and map interaction of Binh Tho ward, Thu Duc district, Ho Chi Minh City. The test results indicate that this tool is very useful in managing and searching information on street name, house number related to information on land parcels' information on cadastral base.

scholarly journals ATLaS: Assistant Software for Life Scientists to Use in Calculations of Buffer Solutions

2021 ◽  
Vol 15 (4) ◽  
pp. 541-545
Author(s):  
Ugur Comlekcioglu ◽  
Nazan Comlekcioglu
Keyword(s):  
Programming Language ◽  
Life Science ◽  
Source Code ◽  
Experimental Results ◽  
Acid Base ◽  
Buffer Solutions ◽  
Python Programming Language ◽  
Science Laboratories ◽  
Executable File ◽  
Python Programming

Many solutions such as percentage, molar and buffer solutions are used in all experiments conducted in life science laboratories. Although the preparation of the solutions is not difficult, miscalculations that can be made during intensive laboratory work negatively affect the experimental results. In order for the experiments to work correctly, the solutions must be prepared completely correctly. In this project, a software, ATLaS (Assistant Toolkit for Laboratory Solutions), has been developed to eliminate solution errors arising from calculations. Python programming language was used in the development of ATLaS. Tkinter and Pandas libraries were used in the program. ATLaS contains five main modules (1) Percent Solutions, (2) Molar Solutions, (3) Acid-Base Solutions, (4) Buffer Solutions and (5) Unit Converter. Main modules have sub-functions within themselves. With PyInstaller, the software was converted into a stand-alone executable file. The source code of ATLaS is available at https://github.com/cugur1978/ATLaS.

scholarly journals CNC Programming Software Design to Optimizing Batik Stamping Time

OPSI ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 21
Author(s):  
Rian Prasetyo ◽  
Ainur Komariah
Keyword(s):  
Programming Language ◽  
Design Process ◽  
Software Design ◽  
Source Code ◽  
Python Programming Language ◽  
Cnc Programming ◽  
G Code ◽  
Programming Software ◽  
Python Programming ◽  
Research Show

Batik is an original Indonesian heritage, that must be preserved and it is the mainstay for implementation of “Making Indonesia 4.0”. It was published many research about stamp batik manufacturing, but still have limitation of motive variation and slackly design process. This research aim to develop the way to making CNC program to be quickly, besides of high variation of batik motive. Source code in python programming language, was built for extension tool in inscape software. Extentension is used to create stamp point, depend on various motive size. Source code created in .py and .inx format will be save in “ekstensi” folder. Based on coordinate point of stamping in stamp batik, CNC program will be created, using “G-code tools” extension that was available in inscape software menubar. CNC programming used extension was built is measured about  time of process and compared to manual CNC programming. CNC program that has been built then tested in CAMotics software. The results of this research show that CNC program could maked with this extension for various dimension od batik stamp and in 2, 4, 6, 8, 10, and 12 meters of cloth length. CNC programming with extension developed, can reduce time up to 96.05%.

scholarly journals DNA Features Viewer: a sequence annotation formatting and plotting library for Python

2020 ◽  
Vol 36 (15) ◽  
pp. 4350-4352 ◽  
Author(s):  
Valentin Zulkower ◽  
Susan Rosser
Keyword(s):  
Computational Biology ◽  
Open Source ◽  
Programming Language ◽  
Source Code ◽  
Supplementary Information ◽  
Use Case ◽  
Sequence Annotation ◽  
Supplementary Data ◽  
Python Programming Language ◽  
Python Programming

Abstract Motivation Although the Python programming language counts many Bioinformatics and Computational Biology libraries; none offers customizable sequence annotation visualizations with layout optimization. Results DNA Features Viewer is a sequence annotation plotting library which optimizes plot readability while letting users tailor other visual aspects (colors, labels, highlights etc.) to their particular use case. Availability and implementation Open-source code and documentation are available on Github under the MIT license (https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer). Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals DNA Features Viewer, a sequence annotations formatting and plotting library for Python

2020 ◽  
Author(s):  
Valentin Zulkower ◽  
Susan Rosser
Keyword(s):  
Computational Biology ◽  
Open Source ◽  
Programming Language ◽  
Source Code ◽  
Layout Optimization ◽  
Supplementary Information ◽  
Use Case ◽  
Open Source Code ◽  
Python Programming Language ◽  
Python Programming

AbstractMotivationWhile the Python programming language counts many Bioinformatics and Computational Biology libraries, none offers customizable sequence annotations visualizations with layout optimization.ResultsDNA Features Viewer is a sequence annotations plotting library which optimizes plot readability while letting users tailor other visual aspects (colors, labels, highlights, etc.) to their particular use case.AvailabilityOpen-source code and documentation are available on Github under the MIT licence (https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer)[email protected] informationattached.

Pitch Transcription of Solo Instrument Tones Using the Autocorrelation Method

2020 ◽  
Vol 8 (3) ◽  
pp. 347
Author(s):  
Sofia Shieldy Budhiono ◽  
I Dewa Made Bayu Atmaja Darmawan
Keyword(s):  
Programming Language ◽  
Test Results ◽  
Audio Processing ◽  
Python Programming Language ◽  
Signal Graph ◽  
Acoustic Guitar ◽  
Python Programming ◽  
Autocorrelation Method ◽  
Solo Instrument

Pitch transcription is basically identifying and copying pitch on an audio or music. In this case, the pitch of a solo instrument music is processed to find the composition of the music tones, the method used is autocorrelation. After processing, the system will produce pitch transcription results from the audio that has been processed. this research done digitalization of an old method of identifying pitches into an application that is able to transcribe pitches in an audio. This Pitch Transcription application was created using the Python programming language with Librosa library as a library for audio processing. The purpose of making this system is to facilitate the identification of pitch from a solo instrument music. This Application Feature itself besides being able to show the results of pitch transcription can also display the Onset Graph, Signal Graph play the results of the synthesis transcribed audio sounds. Testing in this study uses audio sourced from 4 single instruments, there are flute, piano, violin and acoustic guitar. The test results show that the implementation of the autocorrelation method in the solo instrument tone transcription application has an accuracy of 92.85%.

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.

scholarly journals Substantiation of Loading Hub Location for Electric Cargo Bikes Servicing City Areas with Restricted Traffic

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 839
Author(s):  
Vitalii Naumov
Keyword(s):  
Urban Areas ◽  
Facility Location Problem ◽  
Time Interval ◽  
Hub Location ◽  
Efficiency Criterion ◽  
Logistics Systems ◽  
Transport Services ◽  
Total Transport ◽  
Mode Of Transport ◽  
Python Programming

Electric cargo bicycles have become a popular mode of transport for last-mile goods deliveries under conditions of restricted traffic in urban areas. The indispensable elements of the cargo bike delivery systems are loading hubs: they serve as intermediate points between vans and bikes ensuring loading, storage, and e-vehicle charging operations. The choice of the loading hub location is one of the basic problems to be solved when designing city logistics systems that presume the use of electric bicycles. The paper proposes an approach to justifying the location of a loading hub based on computer simulations of the delivery process in the closed urban area under the condition of stochastic demand for transport services. The developed mathematical model considers consignees and loading hubs as vertices in the graph representing the transport network. A single request for transport services is described based on the set of numeric parameters, among which the most significant are the size of the consignment, its dimensions, and the time interval between the current and the previous requests for deliveries. The software implementation of the developed model in Python programming language was used to simulate the process of goods delivery by e-bikes for two cases—the synthetically generated rectangular network and the real-world case of the Old Town district in Krakow, Poland. The loading hub location was substantiated based on the simulation results from a set of alternative locations by using the minimum of the total transport work as the efficiency criterion. The obtained results differ from the loading hub locations chosen with the use of classical rectilinear and center-of-gravity methods to solve a simple facility location problem.

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.

Sign in / Sign up

Export Citation Format

Share Document