Software Support for Hetergeneous Machines

Author(s):  
Mario R. Barbacci
Keyword(s):  
2020 ◽  
Vol 1 (2) ◽  
pp. 3-19
Author(s):  
Tatiana Antipova ◽  
Ioana Riurean ◽  
Simona Riurean

The pandemic situation at the beginning of March 2020 forced teachers to develop alternative teaching methods, and most important to find the best ways to keep teaching for every student no matter the situation, as for example, the lack of computer knowledge or hardware/software support. Teachers worldwide struggled to support, encourage, find the best ways not only to help students to keep learning but support them emotionally. At the end of the academic year, teachers made efforts to develop fair, appropriate evaluation procedures adapted to distance education. This paper summarizes the Distance Teaching-Learning-Evaluation (DTLE) evolution in Russia and Romania and some methods developed from March to December 2020 to support the educational activity. Some benefits, challenges and difficulties are identified during the same period of time in different DTLE scenarios, from the point of view of teachers and students, as well. Examples of new adapted methods, dedicated to the DTLE scenarios are al-so addressed in this work.


Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 388
Author(s):  
Santos Bringas ◽  
Rafael Duque ◽  
Alicia Nieto-Reyes ◽  
Cristina Tîrnăucă ◽  
José Luis Montaña

Collaborative systems support shared spaces, where groups of users exchange interactions. In order to ensure the usability of these systems, an intuitive interactions’ organization and that each user has awareness information to know the activity of others are necessary. Usability laboratories allow evaluators to verify these requirements. However, laboratory usability evaluations can be problematic for reproducing mobile and ubiquitous contexts, as they restrict the place and time in which the user interacts with the system. This paper presents a framework for building software support that it collects human–machine interactions in mobile and ubiquitous contexts and outputs an assessment of the system’s usability. This framework is constructed through learning that is based on neural networks, identifying sequences of interactions related to usability problems when users carry out collaborative activities. The paper includes a case study that puts the framework into action during the development process of a smartphone application that supports collaborative sport betting.


Author(s):  
A.R. ABLAEV ◽  
E.V. KHROMOV ◽  
R.R. ABLAEV ◽  
A.P. POLYAKOV

The article investigates the issue of optimization of a complex technical system at the stage of its design using a heuristic–phenomenological approach. The analysis of the principles of complex optimization of complex technical systems is carried out. A four–level structure for the synthesis of methodological, informational and software support for complex optimization of complex technical systems is proposed, which will allow controlling the programmable parameters of complex technical systems at each stage of their design.


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