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SMART 2017 International Conference

Here are some of the photos that were taken at SMART 2017 International Conference. You can find more on our facebook page.

We want to thank all of the participants for the effort placed in their research papers and also extend an invitation to the next conference that will take place in Bacau, in June, 2018. Alerts and updates about the Call-for-Papers will also be posted on our official site.

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SMART 2017

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BRAIN: Integrating MOOCs in Embedded Systems Blended Courses

The Massive Open Online Course (MOOC) phenomenon has been growing in popularity and importance in the last decade, receiving valuable recognition from renowned universities from all over the world. MOOC can be simply defined as an online course aimed at unlimited participation and open access via the web. In the latest issue of the BRAIN Journal, Răzvan Bogdan’s paper approaches a modality of integrating MOOCs into embedded systems higher education.

The academic field of Embedded Systems aims to enhance student’s understanding through various methods, however students find the concepts as being very monotonous and tend to avoid building practical solutions. In this paper, the author presents the introduction of MOOCs with no synchronization into the Embedded Systems courses at “Politehnica” University of Timișoara, Romania.

Embedded Systems course space for distance learning
Embedded Systems course space for distance learning

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LIBRI (Recherche et Innovation Eclectique en Linguistique et Littérature)

LIBRI (Recherche et Innovation Eclectique en Linguistique et Littérature) représente la matérialisation d’un projet initié par deux universitaires, Bogdan Patrut et Ioan – Lucian Popa.

Il s’agit d’une revue en ligne, érudite, internationale, destinée aux spécialistes qui s’intéressent à la linguistique, à la littérature, aux études culturelles et aux autres domaines connexes. La rédaction ne publie que des articles originaux, rédigés en anglais ou en français.

Nous nous proposons d’explorer et d’examiner les mondes d’idées existants et d’établir de nouveaux territoires. Nous envisageons de collaborer avec des centres d’excellence du monde entier afin de fournir des informations et des comptes rendus autorisés dans les disciplines et les domaines spécialisés des sciences humaines. Notre ambition est d’encourager et de soutenir la pensée innovante, mais nous espérons également devenir une partie importante dans le paysage des publications académiques. Notre but est de faire de LiBRI une publication où les jeunes chercheurs, de même que les chercheurs réputés publient, comparent leur travail et établissent des collaborations.

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BRAIN: An Intelligent Method to Process Romanian Language Internet Reviews

Internet reviews can be seen as an efficient communication form, adapted to the digital world of today. However, researchers are, for the most part, oriented towards English based ones. The Romanian language reviews exhibit specific grammar rules and challenges that need customized methods to be dealt with. In their paper, Versavia-Maria Ancusa, Olimpia Ban, and Marian Cornea offer a method for aggregating heterogeneous Romanian language reviews into a homogenous corpus, fit for further analyse.

Basically, their aim is to buil a eWOM data cleaning algorithm and apply it on the Romanian language. The algorithm will be based on a three-phase process. The first stage consists in data collection, it continues with the basic processing, and focuses, in the last stage, on analyzing.

The eWOM aggregation, processing and analysis
The eWOM aggregation, processing and analysis

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BRAIN: Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach

In order to avoid car accidents and ensure safer roads, Autonomous vehicles (AVs) have been created. These vehicles are capable of sensing its environment and navigating without human input, which is indeed a great step towards more secure experiences for drivers. As a method of improvement for the AVs, agent-based collision avoidance components that represent human cognition and emotions have been designed. However, agent-based solutions have not been validated using any key validation technique.

Considering this lack of validation practices, the authors F. Riaz and M. A. Niazi present in their upcoming paper state-of-the-art Emotion Enabled Cognitive Agent (EEC_Agent), which was proposed to avoid lateral collisions between semi-AVs. It is stated in the paper that the main drawback of EEC_Agent is that it is claiming utilization of emotions in making collision avoidance decisions, but no proper emotion generation mechanism has been proposed, which helps the cognitive agent to feel emotion according to the changing in the dynamic environment. In order to overcome this problem, they have redesigned the architecture of EEC_Agent using EABM (Exploratory Agent Based Modeling) and explored the role of OCC (Ortony, Clore & Collins) model in the fear generation of EEC_Agent.

Emotion Enabled Cognitive Agent Architecture
Emotion Enabled Cognitive Agent Architecture

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