Worst-Case Communication Time Analysis for On-Chip Networks with Finite Buffers

Network-on-Chip (NoC) is the ideal interconnection architecture for many-core systems due to its superior scalability and performance. An NoC must deliver critical messages from a realtime application within specific deadlines. A violation of this requirement may compromise the entire system operation. Therefore, a series of experiments considering worst-case scenarios must be conducted to verify if deadlines can be satisfied. However, simulation-based experiments are time-consuming, and one alternative is schedulability analysis. In this context, this work proposes a schedulability analysis to accelerate design space exploration in real-time applications on NoC-based systems. The proposed worstcase analysis estimates the maximum latency of traffic flows assuming direct and indirect blocking. Besides, we consider the size of buffers to reduce the analysis’ pessimism. We also present an extension of the analysis, including self-blocking. We conduct a series of experiments to evaluate the proposed analysis using a cycle-accurate simulator. The experimental results show that the proposed solution presents tighter results and runs four orders of magnitude faster than the simulation.N/

Executive Functions, Motor Development, and Digital Games Applied to Elementary School Children: A Systematic Mapping Study

Studies show that executive functions and motor development are associated with each other and with learning ability. A more technological lifestyle combined with digital culture should be considered a viable alternative to stimulate children’s development. Therefore, this study aimed to present a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elementary school children from 6 to 11 years old. Four databases were researched: PubMed, Scielo, Science Direct, and SCOPUS, including publications between 2012 and March 2021. The initial results indicated 4881 records. After the selection process, 15 manuscripts that presented the central theme of the study were selected. The main results indicated that intervention strategies are rather heterogeneous. Most of the studies demonstrated efficient results after intervention protocols, many of them were conducted in Europe, and 46% occurred in a school environment. No research was identified involving technological solutions using executive functions, motor development, and digital games in an integrated manner. Hence, this constitutes a field of future scientific research.N/

Complex graph neural networks for medication interaction verification

This paper presents the development and application of graph neural networks to verify drug interactions, consisting of drug-protein networks. For this, the DrugBank databases were used, creating four complex networks of interactions: target proteins, transport proteins, carrier proteins, and enzymes. The Louvain and Girvan-Newman community detection algorithms were used to establish communities and validate the interactions between them. Positive results were obtained when checking the interactions of two sets of drugs for disease treatments: diabetes and anxiety; diabetes and antibiotics. There were found 371 interactions by the Girvan-Newman algorithm and 58 interactions via Louvain

Classification of insulators using neural network based on computer vision

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Universal Verification Platform and Star Simulator for Fast Star Tracker Design

Developing star trackers quickly is non-trivial. Achieving reproducible results and comparing different algorithms are also open problems. In this sense, this work proposes the use of synthetic star images (a simulated sky), allied with the standardized structure of the Universal Verification Methodology as the base of a design approach. The aim is to organize the project, speed up the development time by providing a standard verification methodology. Future rework is reduced through two methods: a verification platform that us shared under a free software licence; and the layout of Universal Verification Methodology enforces reusability of code through an object-oriented approach. We propose a black-box structure for the verification platform with standard interfaces, and provide examples showing how this approach can be applied to the development of a star tracker for small satellites, targeting a system-on-a-chip design. The same test benches were applied to both early conceptual software-only implementations, and later optimized software-hardware hybrid systems, in a hardware-in-the-loop configuration. This test bench reuse strategy was interesting also to show the regression test capability of the developed platform. Furthermore, the simulator was used to inject specific noise, in order to evaluate the system under some real-world conditions

Boosting big data streaming applications in clouds with burstFlow

The rapid growth of stream applications in financial markets, health care, education, social media, and sensor networks represents a remarkable milestone for data processing and analytic in recent years, leading to new challenges to handle Big Data in real-time. Traditionally, a single cloud infrastructure often holds the deployment of Stream Processing applications because it has extensive and adaptative virtual computing resources. Hence, data sources send data from distant and different locations of the cloud infrastructure, increasing the application latency. The cloud infrastructure may be geographically distributed and it requires to run a set of frameworks to handle communication. These frameworks often comprise a Message Queue System and a Stream Processing Framework. The frameworks explore Multi-Cloud deploying each service in a different cloud and communication via high latency network links. This creates challenges to meet real-time application requirements because the data streams have different and unpredictable latencies forcing cloud providers' communication systems to adjust to the environment changes continually. Previous works explore static micro-batch demonstrating its potential to overcome communication issues. This paper introduces BurstFlow, a tool for enhancing communication across data sources located at the edges of the Internet and Big Data Stream Processing applications located in cloud infrastructures. BurstFlow introduces a strategy for adjusting the micro-batch sizes dynamically according to the time required for communication and computation. BurstFlow also presents an adaptive data partition policy for distributing incoming streams across available machines by considering memory and CPU capacities. The experiments use a real-world multi-cloud deployment showing that BurstFlow can reduce the execution time up to 77% when compared to the state-of-the-art solutions, improving CPU efficiency by up to 49%

Relato sobre o desenvolvimento de modelos para obtenção automática do conteúdo de sites sobre saúde

Este relato técnico descreve o desenvolvimento de modelos, técnicas e protótipos para localização, padronização e extração automática do conteúdo apresentado em sites/páginas web com assuntos relacionados à área da saúde, visando à estimativa da qualidade destes sites/páginas extraídos. As técnicas e propostas descritas neste documento foram desenvolvidas ao longo do primeiro semestre de 2009 pelos alunos da disciplina CMPl12 - Sistemas de Informação Distribuídos do Programa de Pós-Graduação do Instituto de Informática da Universidade Federal do Rio Grande do Sul, ministrada pelo Professor Dr. José Palazzo Moreira de Oliveira. Cada uma das tarefas descritas aplicou técnicas e tecnologias diferentes para o seu desenvolvimento, apresentando resultados de diferentes naturezas, como tabelas, protótipos e modelos. Entretanto, todas foram desenvolvidas em busca do mesmo objetivo: a extração automática do conteúdo de sites/páginas que tratam sobre o tema "Doença de Alzheimer". Ao final to trabalho, obteve-se um conjunto de resultados, os quais serão utilizados para possibilitar a realização de estimativas a respeito da qualidade dos sites/páginas extraídos, de acordo com métricas de qualidade definidas.This report describes the development of models, techniques and prototypes to location, standardization and automatic extraction of content presented in web sites/pages with subject related to health, objecting estimate its quality. The techniques and proposals described here was performed during the first half of 2009 by students of the lecture CMP112 – Distributed Information Systems of Institute of Informatics of Federal University of Rio Grande do Sul, conducted by Professor Dr. José Palazzo Moreira de Oliveira. Each one of the tasks described in this report used different techniques and technologies for their development, presenting results of different natures, such as tables, prototypes and models. However, all tasks were developed looking for the same objective: the automatic extraction of content from web sites/pages related with the subject “Alzheimer’s Disease”. At the end of the work, we obtained a set of results, which will be used to enable the development of estimative concerning the quality of extracted web sites/pages, according with defined quality metrics

UBiPri : middleware control and privacy management in ubiquitous environments

Atualmente em vários países já existem mais dispositivos e meios de comunicações que habitantes e a medida que a tecnologia avança a troca de informação tende a aumentar exponencialmente. Com isso, ganha destaque a área denominada computação ubíqua, que visa o desenvolvimento de aplicativos para automatizar processos, antes manuais, a fim de proporcionar conforto, rapidez e conexão aos usuários com seus dispositivos. Nos estudos realizados decorrer desta tese identificou–se a necessidade de desenvolver e controlar informações privadas fundamentadas no local, aqui denominado ambiente ubíquo. O problema de pesquisa identificado foi a grande heterogeneidade de dispositivos e comunicações nestes sistemas, tornando-os vulneráveis e expondo os dados de seus usuários. Assim, observou-se a necessidade de um modelo taxonômico de privacidade que engloba características necessárias para controlar e gerenciar a privacidade de dados em ambientes ubíquos. A partir dessa taxonomia desenvolveu–se um protótipo com base em um middleware estruturado em camadas necessárias para prover os controles e gerenciamentos necessários nestes ambientes. Os primeiros testes e resultados se mostraram promissores, tendo seus resultados publicados em conferências internacionais da área que nortearam os estudos para uma melhoria do tratamento e filtragem de dados. Também foi possível a ampliação dos controles e gerenciamento de parâmetros automáticos com aumento e redução de definição do tipo de perfil do usuário em adição são apresentados os resultados obtidos em diferentes cenários de uso e aplicação. Para tanto, o protótipo desenvolvido permite selecionar opções de variáveis atribuídas individualmente a cada ambiente de acordo com suas necessidades, com isso, a solução proposta visa ser empregada no gerenciamento de privacidade em ambientes ubíquos. Os resultados obtidos nos testes realizados comprovam a viabilidade e contribuição cientifica do modelo desenvolvido. O aplicativo UbiPri foi disponibilizado para utilização no google play store, podendo ser instalado e configurado na plataforma android.Currently in many countries there are already more devices and communication means inhabitants and as technology advances the exchange of information tends to increase exponentially. As a result, stands out the area called ubiquitous computing, which aims to develop applications to automate processes before hand in order to provide comfort, speed and connecting users with their devices. In studies carried out throughout this thesis it identified the need to develop and control private information based on location, here called ubiquitous environment. The identified research problem was the great heterogeneity of devices and communications in these systems, making them vulnerable and exposing the data of its users. Thus, there was the need for a taxonomic model of privacy that encompasses features needed to control and manage data privacy in ubiquitous environments. From this taxonomy developed a prototype based on a middleware structured in layers to provide the necessary controls and managements required in these environments. The first tests and results were promising, with the results published in international conferences in the area that guided the studies for improved treatment and filtering of data. It was also possible the expansion of controls and management parameters with automatic increase and decrease setting in the user profile type in addition the results obtained are presented in different usage scenarios and application. Thus, the prototype allows you to select options variables individually assigned to each environment according to their needs, with it, the proposed solution is intended to be used in the privacy management in ubiquitous environments. The results obtained in the tests prove the feasibility and scientific contribution of the developed model. The UbiPri application was made available for use in the google play store and can be installed and configured on android platform

UBiPri : middleware control and privacy management in ubiquitous environments

Atualmente em vários países já existem mais dispositivos e meios de comunicações que habitantes e a medida que a tecnologia avança a troca de informação tende a aumentar exponencialmente. Com isso, ganha destaque a área denominada computação ubíqua, que visa o desenvolvimento de aplicativos para automatizar processos, antes manuais, a fim de proporcionar conforto, rapidez e conexão aos usuários com seus dispositivos. Nos estudos realizados decorrer desta tese identificou–se a necessidade de desenvolver e controlar informações privadas fundamentadas no local, aqui denominado ambiente ubíquo. O problema de pesquisa identificado foi a grande heterogeneidade de dispositivos e comunicações nestes sistemas, tornando-os vulneráveis e expondo os dados de seus usuários. Assim, observou-se a necessidade de um modelo taxonômico de privacidade que engloba características necessárias para controlar e gerenciar a privacidade de dados em ambientes ubíquos. A partir dessa taxonomia desenvolveu–se um protótipo com base em um middleware estruturado em camadas necessárias para prover os controles e gerenciamentos necessários nestes ambientes. Os primeiros testes e resultados se mostraram promissores, tendo seus resultados publicados em conferências internacionais da área que nortearam os estudos para uma melhoria do tratamento e filtragem de dados. Também foi possível a ampliação dos controles e gerenciamento de parâmetros automáticos com aumento e redução de definição do tipo de perfil do usuário em adição são apresentados os resultados obtidos em diferentes cenários de uso e aplicação. Para tanto, o protótipo desenvolvido permite selecionar opções de variáveis atribuídas individualmente a cada ambiente de acordo com suas necessidades, com isso, a solução proposta visa ser empregada no gerenciamento de privacidade em ambientes ubíquos. Os resultados obtidos nos testes realizados comprovam a viabilidade e contribuição cientifica do modelo desenvolvido. O aplicativo UbiPri foi disponibilizado para utilização no google play store, podendo ser instalado e configurado na plataforma android.Currently in many countries there are already more devices and communication means inhabitants and as technology advances the exchange of information tends to increase exponentially. As a result, stands out the area called ubiquitous computing, which aims to develop applications to automate processes before hand in order to provide comfort, speed and connecting users with their devices. In studies carried out throughout this thesis it identified the need to develop and control private information based on location, here called ubiquitous environment. The identified research problem was the great heterogeneity of devices and communications in these systems, making them vulnerable and exposing the data of its users. Thus, there was the need for a taxonomic model of privacy that encompasses features needed to control and manage data privacy in ubiquitous environments. From this taxonomy developed a prototype based on a middleware structured in layers to provide the necessary controls and managements required in these environments. The first tests and results were promising, with the results published in international conferences in the area that guided the studies for improved treatment and filtering of data. It was also possible the expansion of controls and management parameters with automatic increase and decrease setting in the user profile type in addition the results obtained are presented in different usage scenarios and application. Thus, the prototype allows you to select options variables individually assigned to each environment according to their needs, with it, the proposed solution is intended to be used in the privacy management in ubiquitous environments. The results obtained in the tests prove the feasibility and scientific contribution of the developed model. The UbiPri application was made available for use in the google play store and can be installed and configured on android platform