- Advanced Optical Network Technologies
- Optical Network Technologies
- Advanced Photonic Communication Systems
- Software-Defined Networks and 5G
- Semiconductor Lasers and Optical Devices
- Genomics and Phylogenetic Studies
- Plant Virus Research Studies
- Power Line Communications and Noise
- IoT Networks and Protocols
- IoT and Edge/Fog Computing
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- IoT-based Smart Home Systems
- Body Composition Measurement Techniques
- Adversarial Robustness in Machine Learning
- Clinical Laboratory Practices and Quality Control
- Hematological disorders and diagnostics
- Video Surveillance and Tracking Methods
- Islanding Detection in Power Systems
- graph theory and CDMA systems
- Context-Aware Activity Recognition Systems
- Medical research and treatments
- Smart Parking Systems Research
- Photonic and Optical Devices
- Energy Harvesting in Wireless Networks
Federico Santa María Technical University
2014-2024
University of Valparaíso
2017-2024
Universidad Católica de la Santísima Concepción
2022
Universidad Univer
2022
Universidad Técnica Federico Santa María
2022
Institut de Recherche en Informatique et Systèmes Aléatoires
2018
Inria Rennes - Bretagne Atlantique Research Centre
2015-2017
Institut national de recherche en informatique et en automatique
2015-2017
Fundación Ciencias Exactas y Naturales
2017
Inria Chile
2014
The increase in microbial sequenced genomes from pure cultures and metagenomic samples reflects the current attainability of whole-genome shotgun sequencing methods. However, software for genome visualization still lacks automation, integration different analyses, customizable options non-experienced users. In this study, we introduce GenoVi, a Python command-line tool able to create custom circular representations analysis sequence elements. It is designed work with complete or draft...
Nowadays, conventional agriculture farms lack high-level automated management due to the limited number of installed sensor nodes and measuring devices. Recent progress Internet Things (IoT) technologies will play an essential role in future smart farming by enabling operations with minimum human intervention. The main objective this work is design implement a flexible IoT-based platform for remote monitoring different scales, continuous data collection from various IoT devices (sensors,...
Internet of Things (IoT) technologies are opening new opportunities and services for different smart grid applications such as advanced meter infrastructures (AMI), distributed energy resources, electric vehicles. Among these applications, AMIs represent the first step toward future implementation by enabling reading recording power consumption on request or a schedule. In this study, main focus is designing an IoT-based architecture to support AMIs’ daily reporting billing in residential...
Nowadays, legacy electrical distribution systems are migrating to a new modern electric grid with the capability of supporting different applications such as advanced metering infrastructure (AMI), distributed energy resources, and vehicles. Among these applications, AMI is playing an important role in delivering data from customers power utilities, reliable real-time monitoring, remote operation quality voltage profile. The consists smart meters, aggregation points (DAPs), utility control...
Advances in bacterial promoter predictors based on ML have greatly improved identification metrics. However, existing models overlooked the impact of negative datasets, previously identified GC-content discrepancies between positive and datasets single-species models. This study aims to investigate whether multiple-species for classification are inherently biased due selection criteria datasets. We further explore generation synthetic random sequences (SRS) that mimic distribution promoters...
Multi-band elastic optical networks are a promising alternative to meet the bandwidth demand of ever-growing Internet traffic. In this letter, we propose family band allocation algorithms for multi-band networks. Employing simulation, evaluate blocking performance 3 such and compare their with only heuristic proposed date. Results show that three new outperform previous proposal, up one order magnitude improvement. We expect these results help advance area dynamic resource in
A deep reinforcement learning (DRL) approach is applied, for the first time, to solve routing, modulation, spectrum, and core allocation (RMSCA) problem in dynamic multicore fiber elastic optical networks (MCF-EONs). To do so, a new environment was designed implemented emulate operation of MCF-EONs - taking into account modulation format-dependent reach intercore crosstalk (XT) four DRL agents were trained RMSCA problem. The blocking performance compared through simulation 3 baselines...
The use of additional fiber bands for optical communications -known as Multi-band or Band-division multiplexing (BDM) - allows to increase the traffic served in transparent networks. In recent years, many proposals have emerged a solution resource allocation such multi-band architectures. This work presents novel approach based on reinforcement learning (RL) techniques accommodate elastic network resources. Two new environments were implemented and added Optical-RL-Gym toolkit considering...
Wide-area optical networks face significant transmission challenges due to the relentless growth of bandwidth demands experienced nowadays. Network operators must consider relationship between modulation format and maximum reach for each connection request accumulation physical layer impairments in fiber links, guarantee a minimum quality service (QoS) (QoT) all requests. In this work, we present BER-adaptive solution solve routing, format, spectrum assignment (RMLSA) problem wide-area...
In this paper, a new fast and accurate methodology to evaluate the blocking probability (burst loss probability) in dynamic WDM networks without wavelength conversion is presented. The proposed model considers different traffic loads at each network connection (heterogeneous traffic). To take into account continuity constraint, method sees as sequence of where all links have capacity 1. Every evaluated separately using heuristic-based analytical technique. Then, procedure combines results...
Promoter identification is a fundamental step in understanding bacterial gene regulation mechanisms. However, accurate and fast classification of promoters continues to be challenging. New methods based on deep convolutional networks have been applied identify classify recognized by sigma (σ) factors RNA polymerase subunits which increase affinity specific DNA sequences modulate transcription respond nutritional or environmental changes. This work presents new multiclass promoter prediction...
This paper addresses one of the main tasks in transparent static elastic optical networks (EONs), known as routing, modulation level, and spectrum assignment (RMLSA) problem. We present, for first time, a two-stage RMLSA solution, focusing on reducing consumption (or network capacity). The macro stage, called least demand bandwidth balance (LDBB), relies physical layer impairment (PLI) model to jointly compute connections' route level (RML). use new balancing criterion that effectively...
On designing elastic optical networks, one of the main tasks to be solved is allocate enough spectrum on users' paths achieve communication all network users, known as Spectrum Assignment problem (SA). a static operation, order in which demands are assigned significant. However, standard approaches do not sort them previous assignment process. In this work, we first users maximize usage based their bandwidths and path length. Then, propose novel topology-based allocation strategy, takes...
This paper presents a fast and accurate mathematical method to evaluate the blocking probability (the of burst loss) in dynamic WDM networks without wavelength conversion. We assume that all links have same number wavelengths capacity). The proposed model considers different traffic loads at each network connection (heterogeneous traffic). To take into account continuity constraint, divides sequence where capacity 1. Every is evaluated separately using an analytical technique. Then,...
This paper proposes a new method to compute alternate routes for multiple fault tolerance on Dynamic WDM Optical Networks. The allows obtain all the paths that replace primary affected by one or several failures. Additional paths, called secondary routes, are used keep each user connected network, including cases where simultaneous link failures occur. also number of wavelengths in computed such blocking probability connection is less than pre-defined threshold (which network design...
Survivability of internet services is a significant and crucial challenge in designing optical networks. A robust infrastructure transmission protocols are needed to maintain communication, despite the existence one or more failed components on system. Here, we present generalized approach tolerate any set failure scenarios extent network users can still communicate with remaining components, where scenario an arbitrary links non-operational state. We propose joint solution assess...
In this article we solve the Routing and Spectre Assignment problem for elastic, static, without wavelength conversion networks with ring topology. The is to find a route each connection assign same portion of spectrum in link route. proposed solution minimizes cost network, represented as sum frequency slot units used on link. An integer programming model it's represent described problem. As method resolution propose solving strategy two stages first shortest path then use model, using only...