Open Source Tools, mostly Linux based, are discussed with reference to current research activities in the areas of modeling, simulation and design. Broader application, not just in Mechanical Engineering (author's basic field of study), is exhibited with the help of examples of reputed research publications. The open source software, available over the Internet, to solve the relevant research problems like numerical computation, data visualization, text processing and script based automation are enumerated.
Author Identification of Source Code Segments Written by Multiple Authors Usi...Parvez Mahbub
Authors:
Parvez Mahbub
Department of Computer Science
Dalhousie University
parvezmrobin@dal.ca
Naz Zarreen Oishie
Department of Computer Science
University of Saskatchewan
naz.oishie@usask.ca
S.M. Rafizul Haque
CSE Discipline
Khulna University
rafizul@cse.ku.ac.bd
PhD in Machine Learning / Deep Learning / Natural Language Processing
Profile: https://www.linkedin.com/in/pankaj-gupta-6b95bb17/
Research Contributions: https://scholar.google.com/citations?user=_YjIJF0AAAAJ&hl=en
Eat it, Review it: A New Approach for Review Predictionvivatechijri
Deep Learning has achieved significant improvement in various machine learning tasks. Nowadays,
Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM) have been increasing its popularity on
Text Sequence i.e. word prediction. The ability to abstract information from image or text is being widely
adopted by organizations around the world. A basic task in deep learning is classification be it image or text.
Current trending techniques such as RNN, CNN has proven that such techniques open the door for data analysis.
Emerging technologies such has Region CNN, Recurrent CNN have been under consideration for the analysis.
Recurrent CNN is being under development with the current world. The proposed system uses Recurrent Neural
Network for review prediction. Also LSTM is used along with RNN so as to predict long sentences. This system
focuses on context based review prediction and will provide full length sentence. This will help to write a proper
reviews by understanding the context of user.
The document summarizes Richard Rohwer's work in several areas including co-clustering algorithms, natural language processing, neural networks, and patent publications. Some of his notable contributions involve developing the Simmered Greedy Optimization (SG(N)) algorithm for co-clustering, methods for automatic entity disambiguation, and knowledge bases with clustered data objects. The document lists over 50 publications and patents related to Rohwer's research spanning 1986 to 2010.
Top cited articles 2020 - Advanced Computational Intelligence: An Internation...aciijournal
Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.
Science 2.0 refers to new practices in science that are supported by new tools. These practices involve broad, intense, and global participation in research through crowd-sourcing ideas and open debate. Mash-ups and language technology can play an important role by supporting networked collaboration and awareness through minimal representations of people, activities, topics and relationships. Recent advances in technology and practices provide new means for open, networked, and self-organized co-construction of knowledge in a Science 2.0.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Towards reproducibility and maximally-open dataPablo Bernabeu
Presented at the Open Scholarship Prize Competition 2021, organised by Open Scholarship Community Galway.
Video of the presentation: https://nuigalway.mediaspace.kaltura.com/media/OSW2021A+OSCG+Open+Scholarship+Prize+-+The+Final!/1_d7ekd3d3/121659351#t=56:08
Author Identification of Source Code Segments Written by Multiple Authors Usi...Parvez Mahbub
Authors:
Parvez Mahbub
Department of Computer Science
Dalhousie University
parvezmrobin@dal.ca
Naz Zarreen Oishie
Department of Computer Science
University of Saskatchewan
naz.oishie@usask.ca
S.M. Rafizul Haque
CSE Discipline
Khulna University
rafizul@cse.ku.ac.bd
PhD in Machine Learning / Deep Learning / Natural Language Processing
Profile: https://www.linkedin.com/in/pankaj-gupta-6b95bb17/
Research Contributions: https://scholar.google.com/citations?user=_YjIJF0AAAAJ&hl=en
Eat it, Review it: A New Approach for Review Predictionvivatechijri
Deep Learning has achieved significant improvement in various machine learning tasks. Nowadays,
Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM) have been increasing its popularity on
Text Sequence i.e. word prediction. The ability to abstract information from image or text is being widely
adopted by organizations around the world. A basic task in deep learning is classification be it image or text.
Current trending techniques such as RNN, CNN has proven that such techniques open the door for data analysis.
Emerging technologies such has Region CNN, Recurrent CNN have been under consideration for the analysis.
Recurrent CNN is being under development with the current world. The proposed system uses Recurrent Neural
Network for review prediction. Also LSTM is used along with RNN so as to predict long sentences. This system
focuses on context based review prediction and will provide full length sentence. This will help to write a proper
reviews by understanding the context of user.
The document summarizes Richard Rohwer's work in several areas including co-clustering algorithms, natural language processing, neural networks, and patent publications. Some of his notable contributions involve developing the Simmered Greedy Optimization (SG(N)) algorithm for co-clustering, methods for automatic entity disambiguation, and knowledge bases with clustered data objects. The document lists over 50 publications and patents related to Rohwer's research spanning 1986 to 2010.
Top cited articles 2020 - Advanced Computational Intelligence: An Internation...aciijournal
Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.
Science 2.0 refers to new practices in science that are supported by new tools. These practices involve broad, intense, and global participation in research through crowd-sourcing ideas and open debate. Mash-ups and language technology can play an important role by supporting networked collaboration and awareness through minimal representations of people, activities, topics and relationships. Recent advances in technology and practices provide new means for open, networked, and self-organized co-construction of knowledge in a Science 2.0.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Towards reproducibility and maximally-open dataPablo Bernabeu
Presented at the Open Scholarship Prize Competition 2021, organised by Open Scholarship Community Galway.
Video of the presentation: https://nuigalway.mediaspace.kaltura.com/media/OSW2021A+OSCG+Open+Scholarship+Prize+-+The+Final!/1_d7ekd3d3/121659351#t=56:08
Open Source Software (OSS) applications in libraries: Special Reference to Se...dbpublications
ICT (Information and Communication Technology) has transformed the libraries‟ working environment entirely. Today, most of the libraries have been performing their routine works with the assistance of computer technology and this technology has brought with it many benefits such as advancement; reduction in work timing, reduced man power, data preservation and security etc. In this era of technology, Internet is an indispensible phenomenon and has been providing so many technical supports especially in the field of library and information science in the form of
Open Sources Software (OSS). These days open sources softwares are becoming prevalent due to its immense significance. The Open Sources software provides free and easy accesses to the libraries as well as users can do changes and modification in it as well as they can run, copy, share, and improve the software with the desired requirements.
The document summarizes the discussions and outcomes of a Dagstuhl Perspectives Workshop on applying tensor computing methods to problems in the Internet of Things (IoT). At the workshop, researchers from both industry and academia presented on challenges involving analyzing large, multi-dimensional streaming data from IoT devices and cyber-physical systems. Tensors provide a natural way to represent such data and can enable more efficient information extraction than alternative methods. However, further work is needed to develop benchmark challenges, datasets, and frameworks to make tensor methods more accessible and applicable to industrial IoT problems. The group discussed forming a knowledge hub and collaborating on data challenges to help establish tensor computing as a solution for machine learning on cyber-physical systems.
BigScience is a one-year research workshop involving over 800 researchers from 60 countries to build and study very large multilingual language models and datasets. It was granted 5 million GPU hours on the Jean Zay supercomputer in France. The workshop aims to advance AI/NLP research by creating shared models and data as well as tools for researchers. Several working groups are studying issues like bias, scaling, and engineering challenges of training such large models. The first model, T0, showed strong zero-shot performance. Upcoming work includes further model training and papers.
New research articles 2020 october issue international journal of multimedi...ijma
The International Journal of Multimedia & Its Applications (IJMA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Multimedia & its applications. The journal focuses on all technical and practical aspects of Multimedia and its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding recent developments this arena, and establishing new collaborations in these areas.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This document provides an overview of open source software for libraries. It begins with definitions of key open source software concepts. It then discusses types of open source software including integrated library systems, discovery services, digital libraries, and more. Next, it covers a SWOT analysis and considerations for planning, implementing, and maintaining open source software. It provides examples of applications of open source software in public, special, and academic libraries. Finally, it lists helpful resources and references on open source software for libraries.
Social Machines of Scholarly CollaborationDavid De Roure
The document discusses shifts in scholarly communication and the potential for "social machines" to address issues with the current system. It notes the end of traditional scholarly articles due to limitations of containers and reconstruction. Future systems could involve computationally-enabled networks of expertise, data, and narratives among humans and machines. Well-designed social machines may help address challenges around reproducibility, reuse and innovation in research.
Maliheh (Mali) Izadi, PhD, Andrea Di Sorbo, and Sebastiano Panichella co-chaired the 3rd Intl. Workshop on NL-based Software Engineering
April 20 2024, Lisbon, Portugal.
This paper proposes a system to enable communication between hearing impaired individuals and others using sign language conversion. The system uses motion capture to detect hand gestures and convert them to text. Natural language processing is then used to match the text to predefined sign language datasets. For the matched dataset, a voiceover is provided. The system also allows converting voice to text and displaying corresponding sign language images. This two-way translation aims to serve as an interpreter between deaf and hearing users to facilitate basic communication.
Upavan Gupta received his PhD in Computer Science and Engineering from the University of South Florida in 2008. His dissertation and research focuses on multi-metric optimization techniques for VLSI circuit design and spatial clustering problems. He has over 15 publications in peer-reviewed journals and conferences. Currently he works as a specialist in the Office of the Provost at USF, where he conducts research and develops systems to support decision making.
June 2020: Top Read Articles in Advanced Computational Intelligenceaciijournal
Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.
This document provides a summary of Satanjeev Banerjee's education, work experience, areas of research interest, publications, software projects, and references. It details his PhD studies in language technologies at Carnegie Mellon University, as well as his master's degrees from CMU and the University of Minnesota Duluth. His work experience includes research assistantships at CMU working on topics like speech summarization and meeting understanding. He has numerous publications in these areas and has developed software like the SmartNotes meeting recording system and the METEOR machine translation evaluation metric.
Application of fuzzy logic in order to plan and create software for convertin...journalBEEI
The challenge of software in the field of converting sound to text is that some words have different meanings. In these situations, the functions of each one is distinguished by the use of fuzzy logic and division of the working part of the work. In this regard, the words must first be classified according to the specialized discipline. In the second place, the principles of writing should be maintained. In this regard, the points and commands and the alignment of the sentence are all items that should be considered in the software. The next item is the volume and speed of word processing and the lack of restrictions in the number of languages used. But the time problem is very important. In this regard, the use of existing codes and the optimization and remedy of the problems is a suitable method.In this research, some issues including security and maintenance of software proprietary rights, and the speed of converting sound to text and reducing noise and optimal performance of software to convert audio to text based on software method and the principles of fuzzy logic and neural network were investigated. Results showed improvement algorithm Analytical and results outcomes.
This document provides an introduction to a textbook on machine learning. It is authored by Dr. S. Sridhar and Dr. M. Vijayalakshmi from Anna University in Chennai, India. The preface outlines the scope and key features of the textbook, which is intended for undergraduate and postgraduate students. It covers basic concepts of machine learning through 16 chapters and includes a laboratory manual with Python exercises. The content is organized to introduce fundamental machine learning algorithms and applications in a simple and algorithmic manner.
Languages and frameworks for specifying test artifactsZoltan Micskei
Presentation of a PhD dissertation with the following contributions: (i) a robustness test framework for HA middleware systems, (ii) analysis of the semantics of UML 2 Sequence Diagrams, (iii) definition of a test framework and test language (TERMOS) for mobile computing systems.
Digital Design - An Embedded Systems Approach Using Verilog.pdfSuchithraNP1
This document provides summaries of reviews for the book "Digital Design: An Embedded Systems Approach Using Verilog" by Peter Ashenden. The reviewers praise the book for teaching digital design using an embedded systems approach and modern design methodology. They note it provides excellent coverage of all aspects of embedded system design, from logic design to processors, memory, I/O and implementation technologies. The book is also described as intuitive, accessible, instructive and a pleasure to read.
Top 5 MOST VIEWED LANGUAGE COMPUTING ARTICLE - International Journal on Natur...kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
This document contains the resume of Rajendra Prasath, who holds a Ph.D in Mathematics from the University of Madras. He is currently a postdoctoral fellow at NTNU in Norway. His areas of research include textual case-based reasoning, machine learning, and complex networks. He has published papers in various international journals and conferences and has worked on projects related to information retrieval, text categorization, and distributed algorithms.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
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Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Open Source Software (OSS) applications in libraries: Special Reference to Se...dbpublications
ICT (Information and Communication Technology) has transformed the libraries‟ working environment entirely. Today, most of the libraries have been performing their routine works with the assistance of computer technology and this technology has brought with it many benefits such as advancement; reduction in work timing, reduced man power, data preservation and security etc. In this era of technology, Internet is an indispensible phenomenon and has been providing so many technical supports especially in the field of library and information science in the form of
Open Sources Software (OSS). These days open sources softwares are becoming prevalent due to its immense significance. The Open Sources software provides free and easy accesses to the libraries as well as users can do changes and modification in it as well as they can run, copy, share, and improve the software with the desired requirements.
The document summarizes the discussions and outcomes of a Dagstuhl Perspectives Workshop on applying tensor computing methods to problems in the Internet of Things (IoT). At the workshop, researchers from both industry and academia presented on challenges involving analyzing large, multi-dimensional streaming data from IoT devices and cyber-physical systems. Tensors provide a natural way to represent such data and can enable more efficient information extraction than alternative methods. However, further work is needed to develop benchmark challenges, datasets, and frameworks to make tensor methods more accessible and applicable to industrial IoT problems. The group discussed forming a knowledge hub and collaborating on data challenges to help establish tensor computing as a solution for machine learning on cyber-physical systems.
BigScience is a one-year research workshop involving over 800 researchers from 60 countries to build and study very large multilingual language models and datasets. It was granted 5 million GPU hours on the Jean Zay supercomputer in France. The workshop aims to advance AI/NLP research by creating shared models and data as well as tools for researchers. Several working groups are studying issues like bias, scaling, and engineering challenges of training such large models. The first model, T0, showed strong zero-shot performance. Upcoming work includes further model training and papers.
New research articles 2020 october issue international journal of multimedi...ijma
The International Journal of Multimedia & Its Applications (IJMA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Multimedia & its applications. The journal focuses on all technical and practical aspects of Multimedia and its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding recent developments this arena, and establishing new collaborations in these areas.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This document provides an overview of open source software for libraries. It begins with definitions of key open source software concepts. It then discusses types of open source software including integrated library systems, discovery services, digital libraries, and more. Next, it covers a SWOT analysis and considerations for planning, implementing, and maintaining open source software. It provides examples of applications of open source software in public, special, and academic libraries. Finally, it lists helpful resources and references on open source software for libraries.
Social Machines of Scholarly CollaborationDavid De Roure
The document discusses shifts in scholarly communication and the potential for "social machines" to address issues with the current system. It notes the end of traditional scholarly articles due to limitations of containers and reconstruction. Future systems could involve computationally-enabled networks of expertise, data, and narratives among humans and machines. Well-designed social machines may help address challenges around reproducibility, reuse and innovation in research.
Maliheh (Mali) Izadi, PhD, Andrea Di Sorbo, and Sebastiano Panichella co-chaired the 3rd Intl. Workshop on NL-based Software Engineering
April 20 2024, Lisbon, Portugal.
This paper proposes a system to enable communication between hearing impaired individuals and others using sign language conversion. The system uses motion capture to detect hand gestures and convert them to text. Natural language processing is then used to match the text to predefined sign language datasets. For the matched dataset, a voiceover is provided. The system also allows converting voice to text and displaying corresponding sign language images. This two-way translation aims to serve as an interpreter between deaf and hearing users to facilitate basic communication.
Upavan Gupta received his PhD in Computer Science and Engineering from the University of South Florida in 2008. His dissertation and research focuses on multi-metric optimization techniques for VLSI circuit design and spatial clustering problems. He has over 15 publications in peer-reviewed journals and conferences. Currently he works as a specialist in the Office of the Provost at USF, where he conducts research and develops systems to support decision making.
June 2020: Top Read Articles in Advanced Computational Intelligenceaciijournal
Advanced Computational Intelligence: An International Journal (ACII) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of computational intelligence. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced computational intelligence concepts and establishing new collaborations in these areas.
This document provides a summary of Satanjeev Banerjee's education, work experience, areas of research interest, publications, software projects, and references. It details his PhD studies in language technologies at Carnegie Mellon University, as well as his master's degrees from CMU and the University of Minnesota Duluth. His work experience includes research assistantships at CMU working on topics like speech summarization and meeting understanding. He has numerous publications in these areas and has developed software like the SmartNotes meeting recording system and the METEOR machine translation evaluation metric.
Application of fuzzy logic in order to plan and create software for convertin...journalBEEI
The challenge of software in the field of converting sound to text is that some words have different meanings. In these situations, the functions of each one is distinguished by the use of fuzzy logic and division of the working part of the work. In this regard, the words must first be classified according to the specialized discipline. In the second place, the principles of writing should be maintained. In this regard, the points and commands and the alignment of the sentence are all items that should be considered in the software. The next item is the volume and speed of word processing and the lack of restrictions in the number of languages used. But the time problem is very important. In this regard, the use of existing codes and the optimization and remedy of the problems is a suitable method.In this research, some issues including security and maintenance of software proprietary rights, and the speed of converting sound to text and reducing noise and optimal performance of software to convert audio to text based on software method and the principles of fuzzy logic and neural network were investigated. Results showed improvement algorithm Analytical and results outcomes.
This document provides an introduction to a textbook on machine learning. It is authored by Dr. S. Sridhar and Dr. M. Vijayalakshmi from Anna University in Chennai, India. The preface outlines the scope and key features of the textbook, which is intended for undergraduate and postgraduate students. It covers basic concepts of machine learning through 16 chapters and includes a laboratory manual with Python exercises. The content is organized to introduce fundamental machine learning algorithms and applications in a simple and algorithmic manner.
Languages and frameworks for specifying test artifactsZoltan Micskei
Presentation of a PhD dissertation with the following contributions: (i) a robustness test framework for HA middleware systems, (ii) analysis of the semantics of UML 2 Sequence Diagrams, (iii) definition of a test framework and test language (TERMOS) for mobile computing systems.
Digital Design - An Embedded Systems Approach Using Verilog.pdfSuchithraNP1
This document provides summaries of reviews for the book "Digital Design: An Embedded Systems Approach Using Verilog" by Peter Ashenden. The reviewers praise the book for teaching digital design using an embedded systems approach and modern design methodology. They note it provides excellent coverage of all aspects of embedded system design, from logic design to processors, memory, I/O and implementation technologies. The book is also described as intuitive, accessible, instructive and a pleasure to read.
Top 5 MOST VIEWED LANGUAGE COMPUTING ARTICLE - International Journal on Natur...kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
This document contains the resume of Rajendra Prasath, who holds a Ph.D in Mathematics from the University of Madras. He is currently a postdoctoral fellow at NTNU in Norway. His areas of research include textual case-based reasoning, machine learning, and complex networks. He has published papers in various international journals and conferences and has worked on projects related to information retrieval, text categorization, and distributed algorithms.
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WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
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UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
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These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
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About the event
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Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
Award Nomination: https://x-i.me/ishnom
Conference Submission: https://x-i.me/anicon
For Enquiry: Computer@scifat.com
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Some examples of Open Source computational tools for researchers
1. Some examples of Open Source
computational tools for researchers
By
Ashish Sharma, PhD
ashishsharma71@gmail.com
http://teachingmodelingsimulation.blogspot.in/
2. Abstract
Open Source Tools, mostly Linux based, are
discussed with reference to current research
activities in the areas of modeling, simulation and
design. Broader application, not just in
Mechanical Engineering, is exhibited with the help
of examples of reputed research publications. The
open source software, available over the Internet,
to solve the relevant research problems like
numerical computation, data visualization, text
processing and script based automation are
enumerated.
3. Open Source [1]
“Open Source Software (OSS) is a computer
software with its source code made available
with a license in which the copyright holder
provides the rights to study, change and
distribute the software to anyone and for any
purpose“
A world-wide collaborative development
environment
Available for download from servers from
government organizations, universities,
dedicated organizations etc.
4. Open Source (contd.)
Every s/w is a store-house of years of
dedicated research of countless scholars – it
oughts to be available to all researchers, rich or
poor
For example – linear algebra, computational
linguistics, computational biology, cryptography
etc.
The Open Source phenomenon seems to be in
line with this basic idea
Every new and worthy idea is being
continuously included
5. Computation – deciphering MATH!!
[2]
God used beautiful mathematics in creating the
world - Paul Dirac
No employment can be managed without
arithmetic, no mechanical invention without
geometry - Benjamin Franklin
Where there is matter, there is geometry -
Johannes Kepler
An equation means nothing to me unless it
expresses a thought of God - Srinivasa
Ramanujan [3]
6. Linear Algebra
GSL – GNU Scientific Library
Scilab – a MATLAB substitute
GNU Octave – a MATLAB clone
GMP - GNU Multi-Precision Library is a library
for doing arbitrary-precision arithmetic
JAMA - a numerical linear algebra toolkit for
the Java programming language
SciPy, a large library of scientific tools. Includes
NumPy
7. Linear Algebra – research examples
Linear Fresnel Collector Receiver: Heat
Loss and Temperatures, Energy Procedia,
Volume 49, 2014, Pages 386-397, A.
Heimsath, F. Cuevas, A. Hofer, P. Nitz, W.J.
Platze
Ophidia: Toward Big Data Analytics for
eScience, Procedia Computer Science, Volume
18, 2013, Pages 2376-2385, S. Fiore, A.
D’Anca, C. Palazzo, I. Foster, D.N. Williams, G.
Aloisio
pH front tracking in the electrochemical
8. Linear Algebra – research
examples, contd.
Stability and vibration of thick laminated
composite sector plates, Ashish Sharma, H.B.
Sharda and Y. Nath, Journal of Sound and
Vibration , Vol. 287, 2005, pp. 1-23
Free vibration of moderately thick
antisymmetric laminated annular sector
plates with elastic edge constraints, Ashish
Sharma, International Journal of Mechanical
Sciences 83 (2014), pp. 124–132
A fully Bayesian approach to the parcel-based
detection-estimation of brain activity in fMRI,
9. Python
Fast & Easy to learn – huge volume of
learning resources, enthusiast ever eager to
help
Balance of High Level and Low Level
Programming
Available Libraries
Time-saver for repetitive tasks
Great for gluing together other programs
and tasks into a custom workflow
Popular, many researchers use it
10. Python – research examples
CMIstark: Python package for the Stark-
effect calculation and symmetry
classification of linear, symmetric and
asymmetric top wavefunctions in dc electric
fields, Computer Physics Communications,
Volume 185, Issue 1, January 2014, Pages
339-349, Yuan-Pin Chang, Frank Filsinger,
Boris G. Sartakov, Jochen Küpper
Python scripting libraries for subsurface fluid
and heat flow simulations with TOUGH2 and
SHEMAT, Computers & Geosciences, Volume
43, June 2012, Pages 197-206, J. Florian
11. Python – research examples, contd.
Efficient multi-objective calibration of a
computationally intensive hydrologic model with
parallel computing software in Python,
Environmental Modelling & Software, Volume
46, August 2013, Pages 208-218. Xuesong
Zhang, Peter Beeson, Robert Link, David
Manowitz, Roberto C. Izaurralde, Ali Sadeghi,
Allison M. Thomson, Ritvik Sahajpal, Raghavan
Srinivasan, Jeffrey G. Arnold
FIDIMO — A free and open source GIS
based dispersal model for riverine fish,
Ecological Informatics, In Press, Corrected
12. Python – research examples, contd.
Parallel distributed computing using Python,
Advances in Water Resources, Volume 34,
Issue 9, September 2011, Pages 1124-1139,
Lisandro D. Dalcin, Rodrigo R. Paz, Pablo A.
Kler, Alejandro Cosimo
Algorithmic differentiation in Python with
AlgoPy, Journal of Computational Science,
Volume 4, Issue 5, September 2013, Pages
334-344, Sebastian F. Walter, Lutz Lehmann
Secure embedded system hardware design – A
flexible security and trust enhanced approach,
13. GNU Octave – for MATLAB tasks
GNU Octave is a high-level interpreted
language, primarily intended for numerical
computations
It provides capabilities for the numerical
solution of linear and nonlinear problems, and
for performing other numerical experiments
It also provides extensive graphics capabilities
for data visualization and manipulation
Octave is normally used through its interactive
command line interface, but it can also be used
to write non-interactive programs
15. GNU Octave – research examples
A Covariance NMR Toolbox for MATLAB and
OCTAVE, Journal of Magnetic Resonance,
Volume 209, Issue 1, March 2011, Pages 75-
78, Timothy Short, Leigh Alzapiedi, Rafael
Brüschweiler, David Snyder
Markov analysis of redundant standby
safety systems under periodic surveillance
testing, Reliability Engineering & System
Safety, Volume 133, January 2015, Pages 48-
58 Mario Hellmich, Heinz-Peter Berg
16. GNU Octave – research examples,
contd.
Simulation Platform: A cloud-based online
simulation environmentOriginal Research
Article, Neural Networks, Volume 24, Issue 7,
September 2011, Pages 693-698, Tadashi
Yamazaki, Hidetoshi Ikeno, Yoshihiro Okumura,
Shunji Satoh, Yoshimi Kamiyama, Yutaka
Hirata, Keiichiro Inagaki, Akito Ishihara,
Takayuki Kannon, Shiro Usui
Parameter optimisation and uncertainty
assessment for large-scale streamflow
simulation with the LISFLOOD model,
Journal of Hydrology, Volume 332, Issues 3–
17. Open Source s/w in Social and
Behavioral Sciences
Open source software in teaching mathematics,
Procedia - Social and Behavioral Sciences,
Volume 15, 2011, Pages 769-771, I. Kusbeyzi,
A. Hacinliyan, O.O. Aybar
Roles of teachers in e-learning: How to
engage students & how to get free e-learning
and the future, Procedia - Social and
Behavioral Sciences, Volume 2, Issue 2,
2010, Pages 5775-5787, İlker Yengin, Dilek
Karahoca, Adem Karahoca, Ahmet Yücel
Peer Interactions in Computer-Supported
18. Open Source s/w in Environmental
Modelling
GRASS GIS: A multi-purpose open source GIS,
Environmental Modelling & Software, Volume
31, May 2012, Pages 124-130, Markus Neteler,
M. Hamish Bowman, Martin Landa, Markus
Metz
A GIS-based open source pre-processor for
georesources numerical modeling,
Environmental Modelling & Software,
Volume 62, December 2014, Pages 52-64, P.
Berry, S. Bonduá, V. Bortolotti, C. Cormio,
E.M. Vasinil
19. Open Source s/w in Computational
Linguistics
Lessons learnt from the deployment of a
semantic virtual research environment, Web
Semantics: Science, Services and Agents on
the World Wide Web, In Press, Accepted
Manuscript, Available online 23 August 2014,
Peter Edwards, Edoardo Pignotti, Chris Mellish,
Alan Eckhardt, Kapila Ponnamperuma, Thomas
Bouttaz, Lorna Philip, Kate Pangbourne, Gary
Polhill, Nick Gotts
An open-source toolkit for mining
Wikipedia, Artificial Intelligence, Volume 194,
January 2013, Pages 222-239, David Milne,
20. Open Source s/w in Mechatronics –
Open Source h/w!!!
E-training in mechatronics using innovative
remote laboratory, Mathematics and Computers
in Simulation, Volume 82, Issue 3, November
2011, Pages 508-516, A. Rojko, D. Hercog, K.
Jezernik
Commons-based peer production and
digital fabrication: The case of a RepRap-
based, Lego-built 3D printing-milling
machine, Telematics and Informatics,
Volume 31, Issue 3, August 2014, Pages 434-
443, Vasilis Kostakis, Marios Papachristou
21. LaTeX
A document preparation system [8]
Reputed publishers accepting LaTeX format:
– Elsevier
– IEEE
– ASCE
– ASME
– Association for Computing Machinery (ACM)
– American Chemical Society (ACS) Publications
– Etc.
24. "There is no syllable from which a mantra cannot
be made. There is no herb from which a
medicine cannot be made. There is no person
who is incapable. Who is rare is the one who
can organize."
Thanks!