Cristiano André da Costa

A food allergy risk detection model based on situation awareness

Advances in ubiquitous computing are enabling the emergence of opportunities in many areas; among them we highlight the health-related applications. In this area, there is a trend toward developing many applications that enable care wherever you are and whenever you need, called ubiquitous healthcare. A detailed survey of existing and proposed models has shown that [...]

Inovações Tecnológicas em Salas Híbridas: Melhoria de Procedimentos e Otimizações em Cirurgias

Projeto certificado pela empresa SIEMENS HEALTHCARE DIAGNOSTICOS S.A. em 05/01/2017. Descrição: O projeto constitui em uma parceria de pesquisa aplicada entre a Universidade do Vale do Rio dos Sinos (UNISINOS), a empresa Siemens Healthineers e a Friedrich Alexander-Universität (FAU). O projeto visa desenvolvimento tecnológico, de pesquisa e de inovação em salas cirúrgicas híbridas. As salas [...]

AutoElastic: Automatic Resource Elasticity for High Performance Applications in the Cloud

Elasticity is undoubtedly one of the most striking characteristics of cloud computing. Especially in the area of high performance computing (HPC), elasticity can be used to execute irregular and CPU-intensive applications. However, the on- the-fly increase/decrease in resources is more widespread in Web systems, which have their own IaaS-level load balancer. Considering the HPC area, [...]

The role of a cognitive based model in multimodal interaction systems dialogue management

Researchers, in Multimodal Interaction Systems, devote substantial effort to the integration of external stimulus and signal, to the internal representation of this information and to the response generation. Nevertheless, they focus less effort on how to integrate studies in Cognitive Psychology regarding the human interaction subject. Therefore, it becomes interesting to evaluate the assumption that [...]

Using Computational Geometry to Improve Process Rescheduling on Round-Based Parallel Applications

Process rescheduling is a known technique to face with system heterogeneity and dynamism, being especially pertinent on Bulk Synchronous Parallel (BSP) programs. These programs are organized in a set of round-based supersteps, in which the slowest process determines the moment of synchronization. This approach motivated us to develop a first model called MigBSP, which combines [...]

Impact of Thresholds and Load Patterns when Executing HPC Applications with Cloud Elasticity

Elasticity is one of the most known capabilities related to cloud computing, being largely deployed reactively using thresholds. In this way, maximum and minimum limits are used to drive resource allocation and deallocation actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? [...]

Exploiting Data-Parallelism on Multicore and SMT Systems for Implementing the Fractal Image Compressing Problem

This paper presents a parallel modeling of a lossy image compression method based on the fractal theory and its evaluation over two versions of dual-core processors: with and without simultaneous multithreading (SMT) support. The idea is to observe the speedup on both configurations when changing application parameters and the number of threads at operating system [...]

A model for learning objects adaptation in light of mobile and context-aware computing

The growth usage of mobile technologies and devices such as smartphones and tablets, and the almost ubiquitous wireless communication set the stage for the development of novel kinds of applications. One possibility is exploiting this scenario in the field of education, so creating more intelligent, flexible and customizable systems. Mobile devices can be used to [...]

Joint-analysis of performance and energy consumption when enabling cloud elasticity for synchronous HPC applications

A key characteristic of cloud computing is elasticity, automatically adjusting system resources to an application's workload. Both reactive and horizontal approaches represent traditional means to offer this capability, in which rule‐condition‐action statements and upper and lower thresholds occur to instantiate or consolidate compute nodes and virtual machines. Although elasticity can be beneficial for many HPC [...]

Hefestos: an intelligent system applied to ubiquitous accessibility

This article proposes Hefestos, an intelligent system applied to ubiquitous accessibility. This model uses ubiquitous computing concepts to manage accessibility resources for people with disabilities. Among the concepts employed, context awareness, user profiles and trails management can be highlighted. The paper proposes an ontology for accessibility and delineates scenarios of its application in everyday life [...]

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