2016
Autores
Neuenfeldt Júnior, AL; Siluk, JCM; Paris, SRD;
Publicação
Journal of Transport Literature
Abstract
2016
Autores
Novais, P; Carneiro, D;
Publicação
Advances in Linguistics and Communication Studies
Abstract
2016
Autores
Cândido, AC; Wielevick, PF; Zimmermann, RA;
Publicação
Revista de Negócios
Abstract
2016
Autores
Leitão, P; Barbosa, J; Pereira, A; Barata, J; Colombo, AW;
Publicação
IECON Proceedings (Industrial Electronics Conference)
Abstract
The world is assisting to the fourth industrial revolution, with several domains of science and technology being strongly developed and, specially, being integrated with each other, allowing to build evolvable complex systems. Data digitization, big-data analysis, distributed control, Industrial Internet of Things, Cyber-Physical Systems and self-organization, amongst others, are playing an important role in this journey. This paper considers the best practices from previous successful European projects addressing distributed control systems to develop an innovative architecture that can be industrially deployed. For this purpose, a particular design process has to be addressed in order to consider the requirements and functionalities from various use cases. To investigate the known practices, four use cases are enlighted in this paper, which cover a wide spectrum of the European industrial force, as well as industrial standards to support a smooth migration from traditional systems to the emergent distributed systems. © 2016 IEEE.
2016
Autores
Rocha,; Correia, AM; Adeli, H; Reis, LP; Teixeira, MM;
Publicação
Advances in Intelligent Systems and Computing
Abstract
2016
Autores
Duraes, D; Carneiro, D; Bajo, J; Novais, P;
Publicação
TRENDS IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS, THE PAAMS COLLECTION
Abstract
Attention is strongly connected with learning and when it comes to acquiring new knowledge, attention is one the most important mechanisms. The learner's attention affects learning results and can define the success or failure of a student. The negative effects are especially significant when carrying out long or demanding tasks, as often happens in an assessment. This paper presents a monitoring system using computer peripheral devices. Two classes were monitored, a regular one and an assessment one. Results show that it is possible to measure attentiveness in a non-intrusive way.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.