DEFACTO: A Design Environment for Adaptive Computing Technology

2003 ◽  
Author(s):  
Mary Hall ◽  
Pedro Diniz
Keyword(s):  
Adaptive Computing ◽  
Computing Technology ◽  
Design Environment

DEFACTO: A design environment for adaptive computing technology

1999 ◽  
pp. 570-578 ◽  
Author(s):  
Kiran Bondalapati ◽  
Pedro Diniz ◽  
Phillip Duncan ◽  
John Granacki ◽  
Mary Hall ◽  
...  
Keyword(s):  
Adaptive Computing ◽  
Computing Technology ◽  
Design Environment

Towards an interdisciplinary knowledge exchange model

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Santiago DE FRANCISCO ◽  
Diego MAZO
Keyword(s):  
Design Research ◽  
Knowledge Exchange ◽  
Academic Research ◽  
Innovation Process ◽  
The United States ◽  
Design Environment ◽  
Interdisciplinary Knowledge ◽  
One Year ◽  
The University ◽  
Common Situation

Universities and corporates, in Europe and the United States, have come to a win-win relationship to accomplish goals that serve research and industry. However, this is not a common situation in Latin America. Knowledge exchange and the co-creation of new projects by applying academic research to solve company problems does not happen naturally.To bridge this gap, the Design School of Universidad de los Andes, together with Avianca, are exploring new formats to understand the knowledge transfer impact in an open innovation network aiming to create fluid channels between different stakeholders. The primary goal was to help Avianca to strengthen their innovation department by apply design methodologies. First, allowing design students to proposed novel solutions for the traveller experience. Then, engaging Avianca employees to learn the design process. These explorations gave the opportunity to the university to apply design research and academic findings in a professional and commercial environment.After one year of collaboration and ten prototypes tested at the airport, we can say that Avianca’s innovation mindset has evolved by implementing a user-centric perspective in the customer experience touch points, building prototypes and quickly iterate. Furthermore, this partnership helped Avianca’s employees to experience a design environment in which they were actively interacting in the innovation process.

Preface to Special Issue on Large-scale Numerical Computing Technology for Electromagnetic Field Analysis

2019 ◽  
Vol 139 (11) ◽  
pp. 636-636
Author(s):  
Fumiaki Ikeda ◽  
Daigo Yonetsu ◽  
Takeshi Mifune ◽  
Kengo Sugahara
Keyword(s):  
Electromagnetic Field ◽  
Large Scale ◽  
Field Analysis ◽  
Special Issue ◽  
Computing Technology ◽  
Numerical Computing

MACHINE LEARNING FOR SOFTWARE

2019 ◽  
pp. 251-255
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Soft Computing ◽  
Computing Technology

The study machine learning for software based on Soft Computing technology. It analyzes Soft Computing components. Their use in software, their advantages and challenges are studied. Machine learning and its features are highlighted. The functions and features of neural networks are clarified, and recommendations were given.

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