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Journal articles on the topic 'MATLAB programming Language'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Wirth, M. A., and P. Kovesi. "MATLAB as an introductory programming language." Computer Applications in Engineering Education 14, no. 1 (2006): 20–30. http://dx.doi.org/10.1002/cae.20064.

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Geete, Prof Nitin, and Prof Saurabh Verma. "MATLAB APPLICATIONS FOR MATHEMATICS STUDENTS." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 01 (2023): 3138–41. http://dx.doi.org/10.47191/ijmcr/v11i1.05.

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One of the oldest professions in human society is mathematics. It is closely tied to all stages of the development of human society's cognitive system. An essential tool for researching and resolving these real-world issues is mathematical modeling. A mathematical model is a structure that can be created mathematically by using the right tools and making the necessary, simplified assumptions about the underlying laws of a specific object and purpose in the real world. A mathematical model is an abstraction of real-world issues, to put it simply. Computer application technology has greatly infl

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Prof., Nitin Geete, and Saurabh Verma Prof. "MATLAB APPLICATIONS FOR MATHEMATICS STUDENTS." INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 11, no. 01 (2023): 3138–41. https://doi.org/10.5281/zenodo.7524723.

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One of the oldest professions in human society is mathematics. It is closely tied to all stages of the development of human society's cognitive system. An essential tool for researching and resolving these real-world issues is mathematical modeling. A mathematical model is a structure that can be created mathematically by using the right tools and making the necessary, simplified assumptions about the underlying laws of a specific object and purpose in the real world. A mathematical model is an abstraction of real-world issues, to put it simply. Computer application technology has greatly

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Sun, Yong Hou, Ren Sheng Lai, Jing Zhang, and Bing Kuang. "Parameter Transfer Method of Mixed-Language Programming." Advanced Materials Research 201-203 (February 2011): 281–85. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.281.

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The mixed-language programming is using two kinds of programming language or more to develop application. During the process of handling many engineering problems, the complex computation is often needed. So the method of mixed-language programming is often used in developing project software. MATLAB is high-performance numerical computation software, and VC++ is a considerably mature application development platform. They are often use in mix programming. During the process of VC++ and MATLAB mixed-language programming, when it calls algorithm function written in MATLAB in the VC++ environmen

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Cuevas, Erik Hombre, Daniel Zaldivar, and Marco Perez. "Impact of Programming Languages on Learning Performance." International Journal of Information and Communication Technology Education 21, no. 1 (2025): 1–17. https://doi.org/10.4018/ijicte.371419.

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The integration of various programming languages into the undergraduate engineering curriculum often occurs without adequate evaluation of their effectiveness within specific disciplines. Recently, Python and MATLAB have garnered significant attention as preferred languages for teaching subjects such as image processing and computer vision. Despite their popularity, few studies have evaluated their effectiveness in teaching these topics. This study aimed to determine which programming language, Python or MATLAB, facilitates a better understanding of image processing concepts. The analysis comp

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Wang, Pin. "The status of MATLAB in the Software Development Market." ITM Web of Conferences 73 (2025): 03015. https://doi.org/10.1051/itmconf/20257303015.

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With the continuous development of technology, it is necessary to analyze the applicability of MATLAB in the field of software development according to the mainstream trend of the market. This article aims to outline the design purpose of MATLAB and its applicable user groups, and emphasizes the advantages of MATLAB in scientific computing and engineering applications. By comparing it with other programming languages such as Python, this article further highlights the unique advantages of MATLAB in computing performance and functions, thereby clarifying its importance and application value in

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Kholodov, G. M., O. I. Solopova, and A. V. Popovkin. "Development of software and hardware interface for educational process in the complex study of programming languages at different levels." Izvestiya MGTU MAMI 4, no. 2 (2010): 275–83. http://dx.doi.org/10.17816/2074-0530-69835.

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The paper deals with designing an interface for projects MATLAB and its realization in the programming language C, schemes and methods of interaction of application C and the environment MATLAB including local area network (LAN). The methodology of this interface operation is suggested. The need for interface between the application C and application packages for solving technical computing and comprehensive study of students of different levels of programming languages is substantiated.

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Liang, Xu, Ke Ming Wang, and Gui Yu Xin. "Application of C Sharp and MATLAB Mixed Programming Based on .Net Assembly in Blind Source Separation." Applied Mechanics and Materials 599-601 (August 2014): 1407–10. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1407.

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Comparing with other High-level programming languages, C Sharp (C#) is more efficient in software development. While MATLAB language provides a series of powerful functions of numerical calculation that facilitate adoption of algorithms, which are widely applied in blind source separation (BSS). Combining the advantages of the two languages, this paper presents an implementation of mixed programming and the development of a simplified blind signal processing system. Application results show the system developed by mixed programming is successful.

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Mathews, John H., and Kurtis D. Fink. "Using MATLAB as a programming language for numerical analysis." International Journal of Mathematical Education in Science and Technology 25, no. 4 (1994): 481–90. http://dx.doi.org/10.1080/0020739940250402.

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Cubukcu, Ceren, Zeynep Behrin Guven Aydin, and Ruya Samli. "Comparison of C, Java, Python and Matlab programming languages for Fibonacci and Towers of Hanoi algorithm applications." Boletim da Sociedade Paranaense de Matemática 41 (December 23, 2022): 1–7. http://dx.doi.org/10.5269/bspm.52209.

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Many programming languages evolved with the development of technology. However, it is still not clear which programming language should be used for which applications since there are not enough comparisons of these languages. The aim of this study is to compare the performances of some of the most frequently used programming languages; C, Java, Python and Matlab for Fibonacci and Towers of Hanoi algorithm applications. These algorithms are chosen for this study because they are both recursive algorithms and are widely used in computer science. Performances of these languages are measured accor

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Handayanto, Rahmadya Trias, and Herlawati Herlawati. "Machine Learning Berbasis Desktop dan Web dengan Metode Jaringan Syaraf Tiruan Untuk Sistem Pendukung Keputusan." Jurnal Komtika (Komputasi dan Informatika) 4, no. 1 (2020): 15–26. http://dx.doi.org/10.31603/komtika.v4i1.3698.

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    Machine learning application demand is increased massively because it provides good ability in the classification that is needed by decision makers. Machine learning application uses a programming language with strong characteristics in computing, usually the back-end programming language, such as Matlab, Python, R, etc. The obstacle faced by the decision support system developer is preparing an interface that makes it easy for the user. Some back-end programming languages have provided a good interface. Therefore, in this study they were compared by taking the case

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Ermakov, S. G., A. V. Zabrodin, A. V. Krasnovidov, and A. D. Homonenko. "INTERACTION SIMULINK-MODELS OF COMPLEX AND INTELLIGENT SYSTEMS WITH PROGRAMS IN HIGH-LEVEL LANGUAGES." T-Comm 16, no. 12 (2022): 23–31. http://dx.doi.org/10.36724/2072-8735-2022-16-12-23-31.

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The MatLab package and its extension in the form of Simulink block modeling system form a visual and effective tool for modeling complex and intelligent systems. This bundle provides one of the most effective ways to reduce the time to determine optimal parameters of control actions in the simulation. A further increase in the efficiency of modeling complex and intelligent systems can be achieved through the use of high-level programming languages. The purpose of the study is to consider the methods of interaction between MatLab and Simulink with programs in high-level languages C and C++. to

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Attaelmanan, Abusamra, and Abdelhameed Ali. "Finite Element Analysis of Rectangular Beams." FES Journal of Engineering Sciences 8, no. 1 (2019): 1–7. http://dx.doi.org/10.52981/fjes.v8i1.11.

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This paper is concerned with the analysis of simply supported beam using MATLAB programming language and structural analysis program SAP2000. The beam was discretized into rectangular elements using finite element method. Three patterns of different dimensions and numbers of rectangular elements were used to verify the results of vertical displacements and stresses obtained by MATLAB and SAP 2000.The development of four noded isoparametric quadrilateral membrane elements in MATLAB programming language is presented. The membrane elements developed are plane strain condition. The considered patt

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Iragavarapu, S. N. R. G. Bharat. "Computational Approach for Finding Pythagoras Octagon Using Programming language MATLAB." International Journal for Research in Applied Science and Engineering Technology V, no. IX (2017): 1381–84. http://dx.doi.org/10.22214/ijraset.2017.9198.

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Shinakov, Yuri S., and Marcelo Sampaio de Alencar. "OBJECT PROGRAMMING IN MATLAB RADIO ENGINEERING APPLICATIONS." SYNCHROINFO JOURNAL 9, no. 1 (2023): 2–8. http://dx.doi.org/10.36724/2664-066x-2023-9-1-2-8.

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System objects integrate well with the MATLAB programming language, both when writing simple functions that work interactively in the command window, and when creating large applications. In contrast to MATLAB functions, system objects automatically manage state information, data indexing, and buffering, which is especially useful for iterative calculations or streaming data processing. Such an organization of calculations makes it possible to efficiently process long data arrays. System objects support fixed-point arithmetic and C-code generation from MATLAB and SIMULINK. With system objects,

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Krasnovidov, A. V., and A. D. Khomonenko. "Integration of MatLab and R with high-level languages using C# and Microsoft Visual Studio as an example." Journal of Physics: Conference Series 2131, no. 2 (2021): 022096. http://dx.doi.org/10.1088/1742-6596/2131/2/022096.

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Abstract The paper discusses the technology of integration (providing a single interface of interaction) of different software systems working in a single environment. The levels of integration are indicated, the composition of subtasks (subsystems), which can be solved efficiently using various computing environments, are highlighted. The expediency of joint use of MatLab and R systems with high-level programming languages C ++ and C # is shown due to the limited or lack of tools for creating a convenient graphical user interface for mathematical systems, as well as the weak adaptability of p

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JAYASREE, V. R. "The Rise of Python: How This Language is shaping the Future of Tech." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04762.

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In many domains such as data science, software development, artificial intelligence, automation, web development, chatbots, python is playing crucial role of transformative technology. Python has many advantages over other programming languages such as advanced libraries, user friendly syntaxes and strong support from community. In literature many authors proved the cross-platform compatibility, versatility and simplicity of python programming over traditional programming languages. Python programming is ranked at top in IEEE and other global rankings compare to other languages such as Java, S

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K.D, Putri Devita, Dr Catur Edi Widodo MT, and Dr Kusworo Adi MT. "IMAGE RECONSTRUCTION ON COMPUTED TOMOGRAPHY USING PYTHON PROGRAMMING LANGUAGE." International Journal of Innovative Research in Advanced Engineering 7, no. 12 (2020): 416–21. http://dx.doi.org/10.26562/ijirae.2020.v0712.005.

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This study aims to create an image reconstruction program using the Python programming language from the synogram of scanning perfume bottles on a computed tomography system simulator. Sinogram data retrieval was obtained from the collection of perfume bottle scanning results. The synogram will then be reconstructed in Python to get the reconstructed image. The test was performed visually and numerically which included reconstruction speed, spatial resolution and signal to noise ratio (SNR). In the research that has been done, using Python an image reconstruction program can be made. This prog

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Schenck, Robert, Nikolaj Hey Hinnerskov, Troels Henriksen, Magnus Madsen, and Martin Elsman. "AUTOMAP: Inferring Rank-Polymorphic Function Applications with Integer Linear Programming." Proceedings of the ACM on Programming Languages 8, OOPSLA2 (2024): 1787–813. http://dx.doi.org/10.1145/3689774.

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Dynamically typed array languages such as Python, APL, and Matlab lift scalar operations to arrays and replicate scalars to fit applications. We present a mechanism for automatically inferring map and replicate operations in a statically-typed language in a way that resembles the programming experience of a dynamically-typed language while preserving the static typing guarantees. Our type system---which supports parametric polymorphism, higher-order functions, and top-level let-generalization---makes use of integer linear programming in order to find the minimum number of operations needed to

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Joaquim, Marcelo Basilio. "Design of Low-Pass Active Filters Using Matlab." International Journal of Electrical Engineering & Education 35, no. 3 (1998): 274–78. http://dx.doi.org/10.1177/002072099803500309.

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In this paper a program developed in MATLAB programming language to aid in the design of all-pole active filters using operational amplifiers is presented. The filter structure chosen was the Sallen-Key that furnishes a filter with low sensitivity to element tolerances and it is easy to implement in hardware.

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Ge, Xiao Fan, Di Bo Hou, Guang Xin Zhang, and Ping Jie Huang. "Cloud Simulation Platform for Water Environment Assessment." Applied Mechanics and Materials 316-317 (April 2013): 670–73. http://dx.doi.org/10.4028/www.scientific.net/amm.316-317.670.

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In this paper, a platform based on SaaS cloud computing framework is developed to provide professional online cloud simulation service for water quality assessment. The DLL, WINDOWS MFC programming methods are investigated and water pollution remote simulation can be performed supported by different water simulation softwares including MATLAB, MIKE and FLUENT. The C# language is used in our programming. The major steps of establishing a water quality simulation model using FLUENT and MATLAB are introduced.

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Temgoua Nanfack, Pelagie Flore, Inouss Mamate Abakaka, Abdoul Aziz, and David Tsuanyo. "Analysis of programming languages used in solving energy problems." E3S Web of Conferences 354 (2022): 01006. http://dx.doi.org/10.1051/e3sconf/202235401006.

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The use of Information and Communication Technology (ICT) in the energy sector is becoming increasingly common. From data collection, recording and dissemination of energy information to design, planning and management of energy systems, scientific computing skills and tools, amount them programming languages. Depending on the problem to be solved, the choice of programming language is often very decisive for achieving the expected results. This article presents an analysis of the state of art of programming languages used in the energy domain and propose a case study of the programming langua

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Huang, Dong. "The Application of MATLAB in Higher Vocational Engineering Mechanics Teaching." Advanced Materials Research 889-890 (February 2014): 1667–71. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.1667.

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Higher Vocational Education in engineering mechanics specific issues to illustrate the application of engineering mechanics MATLAB language teaching. Engineering mechanics for complex calculations and mapping problem, using MATLAB software programming to solve, to stimulate students interest in learning, greatly improving the learning efficiency, enhance students' ability to solve engineering problems.

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Abdulhalim Musa Abubakar1, Eva Schieferstein, Volodymyr Kutarov, Muhammad Tayyab Bilal, Chantawan Noisri, and Bello Iliyasu. "Implementing Newton-Raphson Method Algorithm in 6 Programming Languages’ Solution to Van Der Waals Equation of State." Formosa Journal of Computer and Information Science 2, no. 1 (2023): 51–94. http://dx.doi.org/10.55927/fjcis.v2i1.3953.

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Newton’s method can be implemented for the Van der Waals equation of state (VDW EOS) and its derivatives. Application of programming language in chemical engineering is not new but however limited in practice, as it is not included in the curriculum of students of tertiary institutions across the globe. Finding roots through iteration for the VDW EOS can be described as interesting and simple using C++, FORTRAN, R, MATLAB, Java and Python languages; even though a perfect programming language does not exist. In this work, the coding syntax in the six languages employed to solve parameters in VD

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Maciel, Bruno de Oliveira, Isabela Dambiski Gomes de Carvalho, Kassyane Nunes da Silva, et al. "ARTIFICIAL INTELLIGENCE TOOLS: A PRACTICE REPORT FROM THE INTERNATIONAL CENTER FOR SOFTWARE TECHNOLOGY." Revista Contemporânea 4, no. 12 (2024): e6973. https://doi.org/10.56083/rcv4n12-156.

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The Digital Transformation 4.0, which brings opportunities for innovation, involves several enabling technologies, among which Artificial Intelligence (AI) stands out. In this context, this study aims to identify programming languages, as well as libraries and tools, focused on AI applications. Four programming languages for AI were highlighted: C#, R, MatLab, and Python. Subsequently, several Python-based AI libraries and tools were discussed, such as Numpy, Pandas, TensorFlow, PyTorch, Scikit-Learn, Keras, as well as Natural Language Processing (NLP) frameworks like LangChain, HuggingFace Tr

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Imanuddin, Imanuddin, Fachrid Alhadi, Raza Oktafian, and Ahmad Ihsan. "Deteksi Mata Mengantuk pada Pengemudi Mobil Menggunakan Metode Viola Jones." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 18, no. 2 (2019): 321–29. http://dx.doi.org/10.30812/matrik.v18i2.389.

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Computer Vision is one of the branches of Image processing science that allows a combination of human beings, such as identifying an object like an eye and taking a decision. Many of the face detection systems use the Viola Jones method as an object detection method. The method of Viola Jones is known by having high speed and accuracy because it is useful to combine several concepts such as (Haar Features, Integral Image, AdaBoost, and Cascade Classifier) into a major method for detecting objects. The programming language used in this study uses the MATLAB programming language to facilitate th

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Liu, Bo Liang, Ning Sun, and Zhu Xiu Chen. "A Vehicle License Plate Location Method Based on the Mixed Programming between VC++ and Matlab." Advanced Materials Research 662 (February 2013): 875–78. http://dx.doi.org/10.4028/www.scientific.net/amr.662.875.

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The location of vehicle license plate is the important component of realization intelligent traffic system.While programming locaton of car license plate.Visual C++ language,a software development platform,is widely used.Matlab Compiler language is simple and easy to use and has strong ability of Graphics processing. Accordingly ,This paper presents a new method based on the Visual C++ and Matlab mixed programming of image processing,Image processing for vehicle license plate. And introduced the way to achieve application of this method in the image processing.Experimental evidence,this method

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Tchórzewski, Jerzy R., and Maciej Zakrzewski. "Analysis of the Possibilities of the Evolutionary Algorithm to Improve the Neural Model of the TGE S.A. Day Ahead Market System Using Selected Programming Environments." Studia Informatica. System and information technology 31, no. 2 (2025): 87–102. https://doi.org/10.34739/si.2024.31.07.

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The article contains selected research results regarding the analysis of the possibility of using the Evolutionary Algorithm to improve neural models of intelligent systems using selected programming environments. Choosing an appropriate programming language is one of the basic activities in the process of implementing complex algorithms, which include methods of artificial neural networks and evolutionary algorithms. Due to the fact that the object of the researchwas an intelligent Day Ahead Market system operating on the Polish Power Exchange and the modeling methods were artificial neural n

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Balasubramanian, Dr Kannan. "Software Support for Arbitrary Precision Arithmetic in Programming Languages." Indian Journal of Cryptography and Network Security 3, no. 2 (2023): 1–6. http://dx.doi.org/10.54105/ijcns.a1425.113223.

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Arbitrary precision arithmetic, also known as bignum arithmetic, is a computational technique that allows programmers to perform arithmetic operations on numbers with significantly higher precision and magnitude than what is typically supported by the built-in numerical data types in programming languages. This technique is especially useful when working with extremely large or extremely precise numbers, such as in cryptography or scientific computations. Arbitrary precision arithmetic has many applications in the areas of Cryptography, Numerical Computation, Statistical Analysis, and High Pre

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Ye, Chengze, Zhuoyang Shen, Yue Wu, and Pavel Loskot. "Reconsidering Python Syntax to Enhance Programming Productivity." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 776–85. http://dx.doi.org/10.22214/ijraset.2024.58903.

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Abstract: Data analytics plays a crucial role in today's society across various domains, driven by technological advancements and exponential data growth. Handling large-scale data poses a challenge due to increased computational and storage requirements. The heterogeneity of tasks in data analytics programming languages complicates integration and interaction, necessitating effective cross-language integration for productivity and extended capabilities. This paper proposes a generalized interpreter accepting various language syntaxes, primarily based on Python and MATLAB, with comparisons to

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FRASCA, SERGIO, CRISTIANO PALOMBA, ROBERTO RUFFATO, and ETTORE MAJORANA. "SNAG, A TOOLBOX FOR GRAVITATIONAL WAVE DATA ANALYSIS." International Journal of Modern Physics D 09, no. 03 (2000): 299–302. http://dx.doi.org/10.1142/s0218271800000311.

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Snag is a MatLab toolbox, developed in the Rome Virgo group, to analyse gravitational data and develop detection methods. It is written using the OOP features of last versions of MatLab programming language and contains a large number of functions, most of which can be accessed by a GUI. Data_Browser is a GUI Snag application to access gravitational antenna sampled data in files.

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Huang, Li Lun, Wen Guo Li, Qi Le Yang, and Ying Chun Chen. "Registration Algorithm for Three-Dimensional Point Cloud Data." Applied Mechanics and Materials 741 (March 2015): 237–40. http://dx.doi.org/10.4028/www.scientific.net/amm.741.237.

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The principle of registration of the 3D point cloud data and the current algorithms are compared, and ICP algorithm is chosen since its fast convergence speed, high precision, and simple objective function. On the basis of ICP algorithm, singular value decomposition and four-array method are analysed by programming program, and all the mathematical algorithms is transformed into programming language by Matlab software.

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Oz, Furkan, and Kursat Kara. "A CFD Tutorial in Julia: Introduction to Compressible Laminar Boundary-Layer Flows." Fluids 6, no. 11 (2021): 400. http://dx.doi.org/10.3390/fluids6110400.

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A boundary-layer is a thin fluid layer near a solid surface, and viscous effects dominate it. The laminar boundary-layer calculations appear in many aerodynamics problems, including skin friction drag, flow separation, and aerodynamic heating. A student must understand the flow physics and the numerical implementation to conduct successful simulations in advanced undergraduate- and graduate-level fluid dynamics/aerodynamics courses. Numerical simulations require writing computer codes. Therefore, choosing a fast and user-friendly programming language is essential to reduce code development and

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Obumneme, Amaefule Excel, Abuka Owen Chukwuebuka, Nwachukwu Nnaemeka Chukwudi, et al. "Finite Element Analysis of Continuous Plates Using a High-Performance Programming Language (MATLAB)." Path of Science 8, no. 8 (2022): 3001–9. http://dx.doi.org/10.22178/pos.84-9.

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Lugen M. Zake Sheet. "Programming the Permutation Method by proving two Components By Using Matlab." journal of the college of basic education 26, no. 108 (2022): 491–98. http://dx.doi.org/10.35950/cbej.v26i108.5215.

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We will provide programming performance for the proposed ideal algorithm for generating permutations by installing two components, the first and the last component, by configuring all permutations using the periodic use of the remaining elements. In this proposed method, the effort expended whether using the paper or using the calculator to! (n-2)! compared to the effort exerted by the methods used previously and in this way we used two methods Processes for finding permutations (random and regular) in finding permutations. With this paper we presented the method on a computer only by applying

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Türkmen, Aysun, Yalcin Yesil, and Mahmut Kayar. "Heuristic production line balancing problem solution with MATLAB software programming." International Journal of Clothing Science and Technology 28, no. 6 (2016): 750–79. http://dx.doi.org/10.1108/ijcst-01-2016-0002.

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Purpose The purpose of this paper is to find the most efficient assembly line balancing solution across many heuristic line balancing methods, in assistance with a developed computer program. Design/methodology/approach In this paper, assembly line balancing problem was analyzed using t-shirt and knitted pants data. A computer program using MATLAB software for the solution of assembly line balancing problems has been developed. In this study, following heuristic assembly line balancing methods were applied: Hoffman method; position weight method; COMSOAL method; and Kilbridge and Wester method

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Xue, Zhao, Liu Quan, and Xiao Fei Wang. "IP Core Based on the Kalman Filter Algorithm in the FPGA Implementation." Advanced Materials Research 694-697 (May 2013): 1093–97. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1093.

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This article discusses one-dimensional Kalman filter algorithm using FPGA hardware IP core implementation process. First of all, to program the FPGA matrix operations, implementation of double precision floating point. Then the Kalman filter algorithm programmed in MATLAB, to verify the correctness of the algorithm thinking. Finally the MATLAB language programming algorithm is converted into VHDL language. And call 64 a double precision floating point data algorithm realizes the design of 1-D Kalman filtration algorithm IP core, which make the Kalman filter meet the high precision as well as h

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Palanisamy, R., C. S. Boopathi, K. Selvakumar, and K. Vijayakumar. "Switching pulse generation for DC-DC boost converter using Xilinx-ISE with FPGA processor." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1722. http://dx.doi.org/10.11591/ijece.v10i2.pp1722-1727.

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This paper explains steps to generate switching pulse using Xilinx-ISE with FPGA processor for DC-DC boost converter. The switching pulse generated using Very high speed integrated circuit Hardware Description Language (VHDL) with Xilinx-ISE. VHDL is a programming language, which is used to model and design any complex circuits in a dynamic environment. This paper gives the course of action for generation of switching pulses for dc-dc boost converter using Xilinx-ISE and matlab simulink. The switching pulse generated using Xilinx-ISE with FPGA-Spartan 6 processor compared with switching pulse

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Palanisamy, R., and K. Vijayakumar. "Switching pulse generation for DC-DC boost converter using Xilinx-ISE with FPGA processor." International Journal of Reconfigurable and Embedded Systems (IJRES) 8, no. 2 (2019): 81. http://dx.doi.org/10.11591/ijres.v8.i2.pp81-85.

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<p>This paper explains steps to generate switching pulse using Xilinx-ISE with FPGA processor for DC-DC boost converter. The switching pulse generated using Very high speed integrated circuit Hardware Description Language (VHDL) with Xilinx-ISE. VHDL is a programming language, which is used to model and design any complex circuits in a dynamic environment. This paper gives the course of action for generation of switching pulses for dc-dc boost converter using Xilinx-ISE and matlab simulink. The switching pulse generated using Xilinx-ISE with FPGA-Spartan 6 processor compared with switchi

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R., Palanisamy, S. Boopathi C., Selvakumar K., and Vijayakumar K. "Switching pulse generation for DC-DC boost converter using Xilinx-ISE with FPGA processor." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1722–27. https://doi.org/10.11591/ijece.v10i2.pp1722-1727.

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This paper explains steps to generate switching pulse using Xilinx-ISE with FPGA processor for DC-DC boost converter. The switching pulse generated using Very high speed integrated circuit Hardware Description Language (VHDL) with Xilinx-ISE. VHDL is a programming language, which is used to model and design any complex circuits in a dynamic environment. This paper gives the course of action for generation of switching pulses for dc-dc boost converter using Xilinx-ISE and matlab simulink. The switching pulse generated using Xilinx-ISE with FPGA-Spartan 6 processor compared with switching pulse

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Danko, Matej, Juraj Labovský, Ján Janošovský, Zuzana Labovská, and Ľudovít Jelemenský. "Utilization of parallel computing in chemical engineering." Acta Chimica Slovaca 8, no. 2 (2015): 146–51. http://dx.doi.org/10.1515/acs-2015-0025.

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AbstractThe main objective of the presented work was to explore the possibilities of parallel computing utilization in chemical engineering. Parallel computers and principles of parallel computing are in brief described in Introduction. The next part exposes the possibilities of parallel programming in Matlab and C# programming language environment. The next three parts provide case studies of parallel computing in chemical engineering. Each example of the benefits of HPC involves a comparison with its serial equivalents.

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Lao, Zhen Hua. "The Design and Implementation of Matlab Simulation in Optical Aberration." Applied Mechanics and Materials 575 (June 2014): 541–44. http://dx.doi.org/10.4028/www.scientific.net/amm.575.541.

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In the teaching of optical courses, the aberration knowledge is abstract and students often feel it difficult to understand. According to this phenomenon, a new simulation algorithm, which is based on the analysis of chromatic and spherical aberration theory, is described in this paper; with Matlab as the programming language, the emulation programs of chromatic and spherical aberration are designed and the simulation figures are presented, from which the effect of parametric variation on aberration can be shown vividly and intuitively. And for students, this will be helpful in the mastery of

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Hakmi, Mohammed Amin, Mohand Bentobache, and Mohand Ouamer Bibi. "A Hybrid Direction Method for Linear Fractional Programming." Statistics, Optimization & Information Computing 13, no. 3 (2025): 922–47. https://doi.org/10.19139/soic-2310-5070-2245.

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In this article, we propose a new method for solving Linear Fractional Programming (LFP) problems with bounded variables. The proposed algorithm passes from a support feasible solution to a better one following the feasible direction proposed in [K. Djeloud, M. Bentobache and M. O. Bibi, A new method with hybrid direction for linear programming, Concurrency and Computation, Practice and Experience 33 (1), 2021]. Optimality and suboptimality criteria which allow to stop the algorithm when an optimal or suboptimal solution is achieved were stated and proved. Then, a new method called a Hybrid Di

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Liu, Yan Ling, and Xin Zhang. "Simulaion on Strap-Down Inertial Navigation System Based on Simulink/M Programming Language." Applied Mechanics and Materials 467 (December 2013): 584–89. http://dx.doi.org/10.4028/www.scientific.net/amm.467.584.

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This paper presents the basic principles and algorithms of the trap-down Inertial Navigation System, and established the mathematical model and the simulation algorithm of the Inertial Navigation System based on Matlab /Simulink blocks combined with M Programming Language. After the simulation of the system, combined the calculated data, obtained the data error. The result proved that the model is correct and effective.

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Bogdanovs, Nikolajs, Elans Grabs, and Ernests Petersons. "Software Implementation of Real-time Discrete Wavelet Transform Algorithm with Filter Banks." International Journal of Information Systems in the Service Sector 8, no. 2 (2016): 70–86. http://dx.doi.org/10.4018/ijisss.2016040106.

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This article describes real-time discrete wavelet transform algorithm implementation for high-level programming language. The article describes multiscale transform algorithms both for direct discrete wavelet transform and inverse discrete wavelet transform. This algorithm has been implemented in C++ programming language and tested with Raspberry Pi microprocessor system. This article proposes the improved delay line algorithm without full shifting of register. New algorithm requires single reading operation, single writing operation and one division calculation for any length of delay line. T

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Martyniuk, Tetiana, Maksym Mykytiuk, and Mykola Zaitsev. "FEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALSFEATURES OF ANALYSIS OF MULTICHANNEL AUDIO SIGNALS." ГРААЛЬ НАУКИ, no. 2-3 (April 9, 2021): 302–5. http://dx.doi.org/10.36074/grail-of-science.02.04.2021.061.

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The rapid growth of audio content has led to the need to use tools for analysis and quality control of audio signals using software and hardware and modules. The fastest-growing industry is software and programming languages.The Python programming language today has the most operational and visual capabilities for working with sound. When developing programs for computational signal analysis, it provides the optimal balance of high and low-level programming functions. Compared to Matlab or other similar solutions, Python is free and allows you to create standalone applications without the need

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He, Tao, Yu Xiang Sun, and Liu Wang. "Research and Development on Centrifugal Ventilator Selection Software." Advanced Materials Research 756-759 (September 2013): 2111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2111.

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On basis of ventilator dimensionless performance curve and specific speed, a ventilator selection software is studied on purpose of improving the efficiency of ventilator selection. Utilizing programming technology, a database is built which consists of ventilator type, performance parameter, outline dimensions, etc. Graphical interface is programmed using C# language and performance curve is generated and analyzed by the block of MATLAB. Mixed programming method is used to integrate the above two different programming tools, which shortens software development cycle. Analysis result shows tha

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Forte, Adam M., and Kelin X. Whipple. "Short communication: The Topographic Analysis Kit (TAK) for TopoToolbox." Earth Surface Dynamics 7, no. 1 (2019): 87–95. http://dx.doi.org/10.5194/esurf-7-87-2019.

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Abstract. Quantitative analysis of digital topographic data is an increasingly important part of many studies in the geosciences. Initially, performing these analyses was a niche endeavor, requiring detailed domain knowledge and programming skills, but increasingly broad, flexible, open-source code bases have been developed to increasingly democratize topographic analysis. However, many of these analyses still require specific computing environments and/or moderate levels of knowledge of both the relevant programming language and the correct way to take these fundamental building blocks and co

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jin, Niu, Xu xiping, and An zhiyong. "Research on Laser Dazzle Simulation Using ZEMAX Software and MATLAB." MATEC Web of Conferences 327 (2020): 02001. http://dx.doi.org/10.1051/matecconf/202032702001.

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The dazzling process of the laser has been digitally simulated. First, the optical design software (ZEMAX) is combined with the scientific programming language (MATLAB), then the ray tracing is used to build the scattering model of each optical element, and finally compared with a simpler model based on CIE disability glare data to achieve the calibration and verification of the software simulation effect. The results show that this advanced optical eye simulation technology can be used to study the laser glare efficiency, and it is possible to expand the scope of application of the analysis m

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Fan, Lei, Gong Pei Pan, Di Hua Ouyang, Xin Chen, and Bin Guo. "Optimization of Combustion Characteristics of Mg/PTFE Fuel-Rich Pyrotechnical Propellant Based on Neural Network Tool Kit of MATLAB." Applied Mechanics and Materials 389 (August 2013): 924–29. http://dx.doi.org/10.4028/www.scientific.net/amm.389.924.

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Configuration and algorithm of BP neural network and characteristics of MATLAB programming language are introduced in this article. Establishing BP neural network becomes easy with relevant functions of design, training and simulation of neural network provided by neural network tool kit of MATLAB. Users can call relevant programs according to their own requirements without being bothered about writing huge amount of algorithm programs. This paper discusses the methods and procedure of designing BP neural network with MATLAB neural network tool kit in detail. Optimization of combustion charact

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