72 documents found, page 1 of 8

Nero: A Deterministic Leaderless Consensus Algorithm for DAG-Based Cryptocurren...

This paper presents the research undertaken with the goal of designing a consensus algorithm for cryptocurrencies with less latency than the current state-of-the-art while maintaining a level of throughput and scalability sufficient for real-world payments. The result is Nero, a new deterministic leaderless byzantine consensus algorithm in the partially synchronous model that is especially suited for Directed A...

A Methodology for Accelerating FPGA Fault Injection Campaign Using ICAP

The increasing complexity of System-on-Chip (SoC) and the ongoing technology miniaturization on Integrated Circuit (IC) manufacturing processes makes modern SoCs more susceptible to Single-Event Effects (SEE) caused by radiation, even at sea level. To provide realistic estimates at a low cost, efficient analysis techniques capable of replicating SEEs are required. Among these methods, fault injection through em...

Analysis of Adaptive Algorithms Based on Least Mean Square Applied to Hand Trem...

The increase in life expectancy, according to the World Health Organization, is a fact, and with it rises the incidence of age-related neurodegenerative diseases. The most recurrent symptoms are those associated with tremors resulting from Parkinson’s disease (PD) or essential tremors (ETs). The main alternatives for the treatment of these patients are medication and surgical intervention, which sometimes have ...

Algorithms for automated diagnosis of cardiovascular diseases based on ECG data...

The prevalence of cardiovascular diseases is increasing around the world. However, the technology is evolving and can be monitored with low-cost sensors anywhere at any time. This subject is being researched, and different methods can automatically identify these diseases, helping patients and healthcare professionals with the treatments. This paper presents a systematic review of disease identification, classi...

ID-Care: a Model for Sharing Wide Healthcare Data

All over the world, there is a lot of patient health data in different locations such as hospitals, clinics, insurance companies, and other organizations. In this sense, global identification of the patient has emerged as an everyday healthcare challenge. Governments and institutions have to prioritize satisfactory, quick, and integrated decision-making in a wide, dispersed, and global environment because of un...

Derivative-Free Optimization with Proxy Models for Oil Production Platforms Sha...

The deployment of offshore platforms for the extraction of oil and gas from subsea reservoirs presents unique challenges, particularly when multiple platforms are connected by a subsea gas network. In the Santos basin, the aim is to maximize oil production while maintaining safe and sustainable levels of CO2 content and pressure in the gas stream. To address these challenges, a novel methodology has been propos...

PADRES: Tool for PrivAcy, Data REgulation and Security

Decision Support Using Machine Learning Indication for Financial Investment

To support the decision-making process of new investors, this paper aims to implement Machine Learning algorithms to generate investment indications, considering the Brazilian scenario. Three artificial intelligence techniqueswere implemented, namely: Multilayer Perceptron, Logistic Regression and Decision Tree, which performed the classification of investments. The database used was the one provided by the web...

An architectural proposal to protect the privacy of health data stored in the B...

A Blockchain é um livro razão público, descentralizado e distribuído na rede peer-to-peer que utiliza uma estrutura de blocos para verificar e armazenar dados, empregando um mecanismo de consenso confiável. Com o rápido desenvolvimento dessa tecnologia nos últimos anos, diversas preocupações e empecilhos para a sua aplicação em alguns cenários começaram a surgir, dentre eles a privacidade sendo um dos tópicos a...

Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intens...

A significant rise in the adoption of streaming applications has changed the decisionmaking processes in the last decade. This movement has led to the emergence of several Big Data technologies for in-memory processing, such as the systems Apache Storm, Spark, Heron, Samza, Flink, and others. Spark Streaming, a widespread open-source implementation, processes data-intensive applications that often require large...