As consequence of the various genomic sequencing projects, an increasing volume biological sequence data is being produced. Although machine learning algorithms have been successfully applied to a large number sequence-related problems, results are largely affected by type and features extracted. This effect has motivated new pipeline proposals, mainly involving feature extraction in which extracting significant discriminatory information from set challenging. Considering this, our work...

An energy-efficient design is proposed under specific statistical quality-of-service (QoS) guarantees for delay-sensitive traffic in the downlink orthogonal frequency-division multiple-access networks. This based on Wu's effective capacity (EC) concept, which characterizes maximum throughput of a system subject to delay-QoS requirements at data-link layer. In particular context considered, our main contributions consist quantifying energy-efficiency (EEE)-versus-EC tradeoff and...

The electric shower is the main form of heating water for bathing in Brazilian homes and one significant appliances related to electricity consumption. Internet Things (IoT) projects make it possible connect objects collect data from machines remotely. In this work, we developed an system monitoring shower, called Shower–IoT, whose sensor are temperature, tension, current, flow. To implement software infrastructure, used services present cloud computing, such as a broker, processing,...

Abstract This paper describes the results of a conceptual evaluation for case study developed to analyze low carbon power supply options an offshore O&G installation, representing significant Greenhouse Gas (GHG) emissions reduction potential asset. Taking asset expected production profile as starting point, simplified process plant modelling is employed, leading energy demand over life cycle, well GHG considering traditional open cycle gas turbines generation. Over this base case,...

We propose a spectrally efficient design that guarantees the statistical delay quality-ofservice (QoS) for delay-sensitive traffic in downlink of orthogonal frequency-division multiple-access (OFDMA) networks. This is based on so-called effective capacity (EC) concept, which describes maximum throughput, system can achieve under specific delay-QoS violation probability constraint. investigate EC maximization problem, which, profile characterized by QoS-exponent θ determining exponential...

This paper presents a novel non-cooperative game theoretic based distributed resource block (RB) and power allocation (PA) algorithm using different interference temperature metrics for the uplink of large scale multiple-input-multiple- output (LS-MIMO) multi-cell multi-user frequency division multiple access (OFDMA) networks operating through time duplexing (TDD). The Nash equilibrium (NE) existence algorithms complexity are briefly discussed simulations conducted aiming to verify...

This paper presents an anomaly detection method using Digital Signature of Network Segment (DSNS) and Particle Swarm Optimization-based clustering (PSO-Cls). The PSO algorithm is evolutionary computation technique whose main characteristics include low computational complexity, ability to escape from local optima, small number input parameters dependence, when compared other algorithms, e.g. genetic algorithms (GA). In the PSO-Cls algorithm, swarm intelligence combined with K-means...

Abstract In this contribution, the optimised deployment of both spectrum and energy resources scarcely available in mobile multiple access systems has been analysed, with special attention to impact filter design on efficiency (EE) code division networks. Putting into perspective two conflicting metrics, namely throughput maximisation power consumption minimisation, distributed EE utility function is formulated. We also show that best versus spectral trade‐off achievable when each node...

The energy efficiency (EE) maximization on the uplink of multicarrier code division multiple access (MC-CDMA) cooperative wireless networks is a NP-hard optimization problem great interest for future systems. This paper presents two different noncoalitional game theoretic approaches to solve in distributed fashion EE that arises MC-CDMA considering receiver multiuser filter design. A study over quasi-concavity utility function presented while numerical results and complexity analysis are...

This paper extends the discrete Verhulst power equilibrium method, previously suggested in to power-rate optimal allocation problem. Multirate users associated with different types of traffic are aggregated distinct user' classes, assurance target rate per user and QoS. Therein, single-rate algorithm was adapted multirate DS/CDMA control The analysis carried out taking into account convergence time (number iterations) quality solution terms normalized square error (NSE), considering static...

Abstract The number of available biological sequences has increased significantly in recent years due to various genomic sequencing projects, creating a huge volume data. Consequently, new computational methods are needed analyze and extract information from these sequences. Machine learning have shown broad applicability biology bioinformatics. utilization machine helped relevant datasets. However, there still several obstacles that motivate algorithms pipeline proposals, mainly involving...

Anomaly detection is essential in order to ensure reliability and security computer networks, which provide important services their users.This work proposes an anomaly system that applies simple efficient algorithms aiming process the data collected management objects of SNMP (Simple Network Management Protocol) protocol send alarms administrator signaling anomalies network.Tests were performed element from State University Londrina network results satisfactory.

The performance of communication networks can be affected by a number factors including misconfigu-ration, equipments outages, attacks originated from legitimate behavior or not, software errors, among many other causes. These may cause an unexpected change in the traffic behavior, creating what we call anomalies that represent loss breach network security. Knowing pattern is essential to detect and characterize anomaly. Therefore, this paper presents algorithm based on use Digital Signature...

This paper presents a comparison of different metaheuristic approaches applied to the pilot sequence allocation problem in Massive Multiple-Input Multiple-Output (MIMO) systems. A modified version Genetic Algorithm (GA) as well versions Particle Swarm Optimization (PSO) are used maximize system spectral efficiency under an inter-cell interference regime. The parameters were optimized and computational simulations scenarios conducted verify performance impact terms efficiency, minimum maximum...