Listar Artículos Científicos por autor
Mostrando publicaciones 1-20 de 21
-
A general MIMO VLC channel model for underground mining environments
(2022)Underground Mining (UM) is a harsh environment that involves multiple threats to worker safety and needs adequate wireless communications to ensure worker well-being and optimize miner efficiency. While radio frequency ...
-
A new COVID-19 detection method based on CSK/QAM visible light communication and machine learning
(2023)This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 ...
-
A novel and adaptive angle diversity-based receiver for 6g underground mining vlc systems
(2022)Visible light communication (VLC) is considered an enabling technology for future 6G wireless systems. Among the many applications in which VLC systems are used, one of them is harsh environments such as Underground ...
-
A novel frequency domain visible light communication (VLC) three-dimensional trilateration system for localization in underground mining
(2019)A new visible light communication (VLC) system is proposed for localization in underground mining. Existent systems, such as global positioning system (GPS) and systems based on mobile communication, are generally not ...
-
A novel traffic prediction method using machine learning for energy efficiency in service provider networks
(2023)This paper presents a systematic approach for solving complex prediction problems with a focus on energy efficiency. The approach involves using neural networks, specifically recurrent and sequential networks, as the main ...
-
A VLC channel model for underground mining environments with scattering and shadowing
(2020)Underground mining is an industry that preserves the miners' safety and efficiency in their work using wireless communication systems as a tool. In addition to communication links characterized by radio frequency signals, ...
-
Automation of counting and analysis of biological samples through computer vision and telecommunication technologies
(2023)This document addresses a study that aims to simplify and automate the counting and analysis of biological samples, specifically pathogens cultivated in Petri dishes. The study focuses on the use of computer vision techniques ...
-
BER performance of OFDM-based visible light communication systems
(2019)In this paper, OFDM-based techniques designed for Intensity Modulation/Direct Detection (IMDD) modulation applied to Visible Light Communications (VLC) systems are evaluated. The evaluated techniques are Asymmetrically ...
-
Classification of diseased and healthy apple leaves through extreme learning machines
; ; ; ; Barrientos, Ricardo
(2022)
Diseases in agricultural crops are a risk for fruit productivity and quality. Chile is a fruit exporting country; that needs the development of technologies for diseases prevention and treatment. Farmers have been exploring ...
-
Empirical path loss distribution for visible light communications in underground mines
(2020)Visible light communication (VLC) systems allow communication and lighting simultaneously. This advantage presents VLC as an emerging technology to provide reliable communication in harsh environments, such as underground ...
-
Evaluation of extreme learning machines for detecting heart diseases
(2023)Currently, cardiovascular diseases are the leading cause of human death according to the World Health Organization. Their prediction allows doctors to indicate preventive measures to their patients and perform procedures ...
-
Experimental study of visible light communication links with a strong line of sight component
(2023)The importance of studying visible light communications (VLC) systems is present today and growing each day due to the possibilities of higher data rates, security, and various applications. In this manuscript, we study ...
-
Extreme learning machine (ELM) for detection of hazardous near Earth objects
(2023)The protection of planet Earth, its inhabitants, and all living beings requires the identification of potentially dangerous objects, the simulation of impacts with Earth, and the mitigation of such threats. This research ...
-
Extreme learning machine for iris-based diabetes detection
(2023)This study proposes a methodology for iris-based diabetes detection in 130 subjects, in which geometric transformations and changes in brightness and contrast were applied to increase to 1300 images, and a selection of 10% ...
-
Extreme learning machines as equalizers on optical OFDM systems
(2023)Optical Fiber Radio (RoF) systems based on OFDM meet the needs of high transmission and reception speeds, as well as offering greater reliability in the system. These systems are exposed to various disturbances, such as ...
-
Extreme learning machines for detecting the water quality for human consumption
(2023)Determining the potability of water for consumption is crucial for human health. To assess the water quality, levels of minerals and ions are measured, such as pH, hardness, sodium, chloramines, sulfate, conductivity, ...
-
Finite field metrics applied to M-FSK modulation in VLC systems
(2020)This paper provides an alternative to digital filter based frequency detection for multi-frequency shift keying modulation (M-FSK) using field programmable gate array (FPGA) architectures, by providing a hamming space ...
-
ICI reduction by using the improved double-jump 1 pulse in MQAM-OFDM schemes
(2020)Orthogonal frequency division multiplexing (OFDM) is sensitive to frequency offset since it causes inter-carrier interference (ICI). Frequency offset results from the receiver's crystal oscillator inaccuracy, Doppler spread, ...
-
On the performance of angular diversity receivers in underground mining VLC systems
(2022)Visible Light Communications (VLC) have generated great interest in the scientific community in the last five years due to their great adaptation to harsh environments. Among the scenarios that can benefit from the advantages ...
-
Semi-supervised extreme learning machine channel estimator and equalizer for vehicle to vehicle communications
(2021)Wireless vehicular communications are a promising technology. Most applications related to vehicular communications aim to improve road safety and have special requirements concerning latency and reliability. The traditional ...