Envisioning Engineering Computational Technology in the Coming Intelligence or Convergence Era

2013 ◽  
pp. 1-19
Author(s):  
A.K. Noor
Keyword(s):  
Computational Technology

scholarly journals A Utilização de Softwares no Ensino e Aprendizagem dos Cursos de Engenharia

2021 ◽  
Vol 22 (2) ◽  
pp. 146-151
Author(s):  
Carlos Alberto Gonçalves da Silva Maistro Machado ◽  
Angelica Da Fontoura Garcia Silva ◽  
Diego Fogaça Carvalho
Keyword(s):  
Engineering Education ◽  
Teaching And Learning ◽  
Qualitative Method ◽  
Quantitative Methods ◽  
Language Teaching ◽  
Academic Research ◽  
Learning Processes ◽  
The Future ◽  
Almost All ◽  
Computational Technology

ResumoO estudo aqui exposto é parte de uma pesquisa de mestrado em andamento desenvolvida no Programa de Pós-Graduação Stricto Sensu em Metodologias para o Ensino de Linguagens e suas Tecnologias. Trata-se de uma investigação que tem o propósito de retratar a pesquisa acadêmica encontrada no repositório de publicações da Associação Brasileira de Ensino em Engenharia – ABENGE –. Para a realização desta pesquisa bibliográfica buscou-se no repositório. os artigos publicados em um período de 12 anos – a partir de 2006 até 2018. Selecionou-se publicações que tiveram como foco a utilização de softwares para desenvolver processos de ensino e de aprendizagem de disciplinas de cursos de engenharia. Dos 397 artigos encontrados, 25 foram selecionados como instrumento de análise para esta pesquisa, dos quais, 14 deles foram publicados em 2017 e 2018. Analisando as tais publicações, pôde concluir que o método qualitativo se sobressaiu acima do quantitativo e quali-quanti, e ainda 44% dos artigos se basearam em questionários, avaliações ou entrevistas, seguidos de 40% de pesquisas bibliográficas. No tocante aos resultados foi possível identificar que quase a totalidade dos estudos concluiu que a utilização de diferentes metodologias, dentre elas softwares para o ensino, é fundamental para a inserção do futuro engenheiro ao mercado atual. Palavras-chave: Ensino de Engenharia. Processos de Ensino e de Aprendizagem. Tecnologia Computacional. AbstractThe study here presented is part of an ongoing master's research developed at the Stricto Sensu Postgraduate Program in Methodologies for Language Teaching and its Technologies. It is an investigation that has the purpose of portraying the academic research found in the repository of publications of the Brazilian Association of Engineering Teaching - ABENGE. In order to carry out this bibliographical research, the repository was searched for articles published over a period of 12 years - from 2006 to 2018. Publications that focused on the use of software to develop teaching and learning processes for engineering courses were selected. Of the 397 articles found, 25 were selected as analysis tools for this research, 14 of which were published in 2017 and 2018. Analyzing these publications, it was possible to conclude that the qualitative method stood out above the quantitative and quali-quantitative methods, and 44% of the articles were based on questionnaires, evaluations or interviews, followed by 40% of bibliographical research. Regarding the results, it was possible to identify that almost all the studies concluded that the use of different methodologies, including software for teaching, is fundamental for the insertion of the future engineer in the current market. Keyword: Engineering Education. Teaching and Learning Processes. Computational Technology.

scholarly journals Which OCR toolset is good and why? A comparative study

2021 ◽  
Vol 48 (2) ◽  
Author(s):  
Pooja Jain ◽  
◽  
Dr. Kavita Taneja ◽  
Dr. Harmunish Taneja ◽  
◽  
...  
Keyword(s):  
Comparative Study ◽  
Language Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Research Area ◽  
Real World Applications ◽  
Banking Education ◽  
Active Research ◽  
Active Research Area ◽  
Computational Technology

Optical Character Recognition (OCR) is a very active research area in many challenging fields like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning (ML), and artificial intelligence (AI). This computational technology extracts the text in an editable format (MS Word/Excel, text files, etc.) from PDF files, scanned or hand-written documents, images (photographs, advertisements, and alike), etc. for further processing and has been utilized in many real-world applications including banking, education, insurance, finance, healthcare and keyword-based search in documents, etc. Many OCR toolsets are available under various categories, including open-source, proprietary, and online services. This research paper provides a comparative study of various OCR toolsets considering a variety of parameters.

Hybrid Computational Intelligence and the Basic Concepts and Recent Advances

2018 ◽  
pp. 180-190
Author(s):  
Georgios Dounias
Keyword(s):  
Computational Intelligence ◽  
Intelligent Systems ◽  
Domain Knowledge ◽  
Hybrid Intelligent Systems ◽  
Complex Problems ◽  
Recent Advances ◽  
New Findings ◽  
Wide Range ◽  
Computational Intelligent ◽  
Computational Technology

In this paper computational intelligence and its major methodologies are introduced in the first place, and then hybrid intelligent systems are defined and the most popular hybrid intelligent approaches are discussed. The increased popularity of hybrid intelligent systems during the last decade, is the result of the extensive success of these systems in a wide range of real-world complex problems, but also has to do with the increased capabilities of computational technology. One of the reasons for this success has to do with the synergy derived by the computational intelligent components, such as machine learning, fuzzy logic, neural networks, genetic algorithms, or other intelligent algorithms and techniques. Each of the partial methodologies provides hybrid systems with complementary reasoning and searching methods that allow the use of domain knowledge and empirical data to solve complex problems. The paper includes recent advances and new findings in the area of hybrid computational intelligence.

The Role of Digital Fabrication in Today's Society

2020 ◽  
pp. 377-391
Author(s):  
Tandra Lea Tyler-Wood
Keyword(s):  
Three Dimensional ◽  
Digital Fabrication ◽  
Physical Object ◽  
Digital Design ◽  
Maker Movement ◽  
21St Century Classroom ◽  
K 12 ◽  
Computational Technology ◽  
The Maker Movement

Digital fabrication and the “maker movement” can play a major role in bringing computational technology into the 21st century classroom. Digital fabrication is defined as the process of translating a digital design developed on a computer into a physical object or any process for producing/printing a three-dimensional (3D) object. The maker movement is a platform for today's futuristic artisans, craftsmen, designers and developers to create, craft, and develop leading ideas and products. Digital fabrication and “making” could provide a new platform for bringing powerful ideas and meaningful tools to students. Digital fabrication has the potential to be “the ultimate construction kit.” Digital fabrication has strong ties to the maker movement. Maker spaces provide students with safe areas that allow students to safely use digital fabrication to make, build, and share their creations. This chapter will look at the role that digital fabrication can play in incorporating computational technology into the K-12 classroom.

Weak and Strong Compatibility in Data Fitting Problems Under Interval Uncertainty

2020 ◽  
Vol 12 (01) ◽  
pp. 2050002
Author(s):  
Sergey P. Shary
Keyword(s):  
Computational Complexity ◽  
Interval Data ◽  
Data Fitting ◽  
Interval Uncertainty ◽  
Systems Of Equations ◽  
Interval Systems ◽  
Best Fit ◽  
Computational Technology ◽  
Fitting Problem ◽  
Better Than

For the data fitting problem under interval uncertainty, we introduce the concept of strong compatibility between data and parameters. It is shown that the new strengthened formulation of the problem reduces to computing and estimating the so-called tolerable solution set for interval systems of equations constructed from the data being processed. We propose a computational technology for constructing a “best-fit” linear function from interval data, taking into account the strong compatibility requirement. The properties of the new data fitting approach are much better than those of its predecessors: strong compatibility estimates have polynomial computational complexity, the variance of the strong compatibility estimates is almost always finite, and these estimates are rubust. An example considered in the concluding part of the paper illustrates some of these features.

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