ISSN: 1690-4524 (Online)
Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Indexed byDOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world. Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO . DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable. DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable. Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility. DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles. JSCI Supplies DOAJ with Meta Data
, Academic Journals Database, and Google Scholar
Listed inCabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory
Published by
The International Institute of Informatics and Cybernetics
Re-Published in
Academia.edu (A Community of about 40.000.000 Academics)
Transfer Learning for Facial Emotion Recognition on Small Datasets Paolo Barile , Clara Bassano , Paolo Piciocchi (pages: 1-5) How to Link Educational Purposes and Immersive Video Games Development? An Ontological Approach Proposal Nathan Aky (pages: 6-13) Application of Building Information Modeling (BIM) in the Planning and Construction of a Building Renata Maria Abrantes Baracho , Luiz Gustavo da Silva Santiago , Antonio Tagore Assumpção Mendoza e Silva , Marcelo Franco Porto (pages: 14-19) Transformative, Transdisciplinary, Transcendent Digital Education: Synergy, Sustainability and Calamity Rusudan Makhachashvili , Ivan Semenist (pages: 20-27) New Online Tools for the Data Visualization of Bivalve Molluscs' Production Areas of Veneto Region Eleonora Franzago , Claudia Casarotto , Matteo Trolese , Marica Toson , Mirko Ruzza , Manuela Dalla Pozza , Grazia Manca , Giuseppe Arcangeli , Nicola Ferrè , Laura Bille (pages: 28-32) Geodata Processing Methodology on GIS Platforms When Creating Spatial Development Plans of Territorial Communities: Case of Ukraine Olena Kopishynska , Yurii Utkin , Ihor Sliusar , Leonid Flehantov , Mykola Somych , Oksana Yakovlieva , Olena Scryl (pages: 33-40) D-CIDE: An Interactive Code Learning Program Lukas Grant , Matthew F. Tennyson , Jason Owen (pages: 41-46) Interdisciplinary Digital Skills Development for Educational Communication: Emergency and Ai-Enhanced Digitization Rusudan Makhachashvili , Ivan Semenist , Ganna Prihodko , Irina Kolegaeva , Olexandra Prykhodchenko , Olena Tupakhina (pages: 47-51) Interdisciplinarity in Smart Systems Applied to Rural School Transport in Brazil Renata Maria Abrantes Baracho , Mozart Joaquim Magalhães Vidigal , Marcelo Franco Porto , Beatriz Couto (pages: 52-59) Peculiarities of the Realization of IT Projects for the Implementation of ERP Systems on the Path of Digitalization of Territorial Communities Activities Olena Kopishynska , Yurii Utkin , Ihor Sliusar , Khanlar Makhmudov , Olena Kalashnyk , Svitlana Moroz , Olena Kyrychenko (pages: 60-67)
ABSTRACT
Ravenscar Computational Model compliant AADL Simulation on LEON2 Roberto Varona-Gómez, Eugenio Villar, Ana-Isabel Rodríguez-Rodríguez
AADL has been proposed for designing and analyzing
SW and HW architectures for real-time mission-critical
embedded systems. Although the Behavioral Annex
improves its simulation semantics, AADL is a language
for analyzing architectures and not for simulating them.
AADS-T is an AADL simulation tool that supports the
performance analysis of the AADL specification
throughout the refinement process from the initial system
architecture until the complete, detailed application and
execution platform are developed. In this way, AADS-T
enables the verification of the initial timing constraints
during the complete design process. In this paper we
focus on the compatibility of AADS-T with the
Ravenscar Computational Model (RCM) as part of the
TASTE toolset. Its flexibility enables AADS-T to support
different processors. In this work we have focused on
performing the simulation on a LEON2 processor.
Full Text