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September 1984 - December 2015
Publications
Publications (271)
On the one hand, visible light communication (VLC) based on light-emitting diode (LED) technology offers not only lighting but also communication for various applications such as short-range wireless access, the Industrial Internet of Things (IIoT), vehicular networks (VN)s, among others. On the other hand, experimentation is the final and determin...
Climate change has had a significant impact on honey bee production. For instance, droughts affect the availability of bees' food resources. Consequently, one emerging line of research involves the application of machine learning to model honey production. This paper presents a bibliographic review of machine learning research aimed at predicting h...
Cooperative vehicular systems require that vehicles fuse sensor data and broadcast one-hop safety messages containing their kinematic information to enable vehicular applications based on incident detection. Several congestion control mechanisms have been proposed to mitigate channel congestion resulting from the continuous transmission of safety m...
This paper addresses the challenge of attaining an optimal wireless spanning tree backbone with a dual focus: minimizing both the worst arc flow within the network and the overall tree structure. Our approach assumes node-to-node simultaneous communication and introduces mixed-integer linear programming formulations to tackle the problem. The prima...
Over the past few years, there has been a growing interest in indoor positioning systems that use Visible Light Communication (VLC) technology in conjunction with light-emitting diodes (LEDs). These systems have become popular because of their ability to provide high bandwidth, and it is anticipated that wireless communication may expand into the v...
This article investigate the deployment of effective communication networks for smart IoT-based smart patient monitoring in medical facilities, advocating for the adoption of Visible Light Communication (VLC) technology. Initially, the physical scenario is analyzed, taking into account factors such as line-of-sight (LOS) and nonline-of-sight (NLOS)...
This study aims to enhance the efficiency of Visible Light Communication (VLC) channels and contribute to the reduction of carbon emissions in underground communications by leveraging Polar Codes and Multiresolution Analysis (MRA). It uses a specific configuration of frozen bits for the implementation of Polar codes. Additionally, it integrates the...
This article considers the strategic management of traffic within a Software-Defined Network (SDN) framework. We explore two different models. The first one is designed with a clear objective: to minimize the worst flow of data through individual connections within the studied SDN. This entails identifying and addressing potential bottlenecks to op...
This research delves into the application of Digital Twins (DTs) in the realm of smart agriculture, with a particular focus on greenhouse and underground environments. By integrating computer simulations with empirical testing, we validate our hypotheses. A novel approach has been introduced that uses Visible Light Communication (VLC) for data exch...
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 and technologies such as OpenCV, Jetson Nano, 5G, and FSO to achieve this goal. The document explains the methodology used,...
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 the behavior of the channel frequency response (CFR) considering different configurations of parameters and distances in an experi...
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 proposes the use of ELMs to distinguish between potentially dangerous objects and those that are not. The ELMs applied in this st...
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, organic carbon, tri-halomethanes, and turbidity. To achieve this more efficiently and accurately, techniques of Machine Learning (ML...
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 on time. In this research, the performance of different Extreme Learning Machine (ELM)-based algorithms applied to the binary cla...
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 the thermal and shot noise of the photodetector, the amplified emission of optical links, and the relative phase intensity in the...
In the field of data processing and IoT communication it is possible to develop more robust solutions by combining quantum algorithms with metaheuristics. Said solutions can be applied in the industry and be measured using metrics associated with complexity, efficiency, processing, and accuracy. An extensive bibliographical review is carried out to...
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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 tool for prediction. In order to test the methodology, a case study was conducted in the telecommunications industry to address...
This research paper proposes a communication system that can be applied in diagnosis through medical imaging. The objective is to spot abnormalities in breasts with a high level of precision, allowing for diagnostics in the early stages of potential breast cancer. The system was theoretically modeled and simulated with the help of computational cal...
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 Deoxyribose Nucleic Acid (DNA) gene transfer in regular square constellations using a CSK/QAM-based VLC system. ML algorithms a...
Reliable wireless communications are crucial for ensuring workers' safety in underground tunnels and mines. Visible light communications (VLC) have been proposed as auxiliary systems for short-range wireless communications in underground environments due to their seamless availability, immunity to electromagnetic interference, and illumination capa...
As an emerging distributed learning framework, federated edge learning (FEEL) can efficaciously resolve the delay requirements and privacy concerns by enabling collaborative modeling among the edge devices under the premise of data localization. However, the communication bottlenecks, e.g., model damage and signal deviation, will critically diminis...
In the context of underground mining, visible light communication systems have been proposed as auxiliary systems to traditional wireless communications, as they have the potential to provide greater reliability and flexibility to the latter. The visible light communication channel in an underground mine is much more complex than that of common in-...
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 how to use Artificial Intelligence to solve problems. Nowadays, deep artificial intelligence models have a great performance....
Visible light communication (VLC) is considered an enabling technology for future 6G 1
wireless systems. Among the many applications in which VLC systems are used, one of them are harsh environments such as Underground Mining (UM) tunnels. However, these environments are subject to degrading environmental and intrinsic challenges for optical links....
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 signals can be used to manage such tasks, several limitations exist to its potential, as multiple phenomena affect their quality. T...
Visible Light Communication (VLC) based systems are proving to be a promising candidate for the development of 6G communication networks. However, new developments in devices and materials need to be done to deal with the limitations and drawbacks of VLC. In the meantime, the work and the experiments done in this paper show that it's possible to im...
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 ofvVLC systems are Underground Mining (UM) tunnels. However,vthe physical phenomena and the irregularity of this environment...
In the past decade, visible light communication (VLC) technology has received increasing attention for numerous applications, including for indoor visible light positioning (VLP). The transmission medium for indoor VLP systems in industrial environments could include smoke particles, oil vapors, water mist, and industrial fumes. This work investiga...
The purpose of this paper is to present a multisensor system with quantum key exchange at the source level and non-binary data transmission at the channel level using the quantum AES algorithm. We differentiate between the classical paradigm based on numerical complexity and the quantum paradigm based on the uncertainty principle. Studies of Bit Er...
In this paper, we consider two optimization problems related to 5G millimeter wave (mmWave) networks. The first one consists of maximizing the number of covered users using a predefined number of base stations (BSs) while simultaneously minimizing the distances between users and BSs. Whereas the second one minimizes the total number of BSs required...
This work presents a novel solution for the detection of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2) that produces the disease COVID-19 from gel electrophoresis images for the application of the analysis of samples from sewage systems for the control of the pandemic, using the fifth generation mobile network (5G) and artificial...
Underground Mining (UM) is a hostile industry that generally requires a wireless communication system as a cross-cutting axis for its optimal operation. Therefore, in the last five years, it has been shown that, in addition to radio-frequency-based communication links, wireless optical communications, such as Visible Light Communication (VLC), can...
In this paper, we propose mixed-integer quadratic and linear programming models to minimize the worst latency in software-defined wireless networks (SDNs). Our models are adapted from classical combinatorial optimization problems referred to as the p-median and stable set problems in the literature. For each of the two adapted models, we further de...
The theoretical basis of Optical Frequency Comb
Sources (OFCS) using optical modulators is presented. The
different classes of OFCSs and their main characteristics are
shown. Experimental measurements and simulation results using
Photo Design software are also presented, demonstrating the
feasibility of generating optical frequency combs using phas...
Visible light communication (VLC) systems have numerous applications in harsh environments, such as underground mining. However, the irregular tunnel features, the random orientation of the optical components, physical phenomena such as shadowing and scattering, as well as the inherent generation of non-linearities of the optical signal greatly aff...
As Internet Service Providers (ISPs) integrate the fifth generation (5G) technology standard for cellular broadband systems, they may face bursts of network traffic due to the future numerous connections. In this sense, our paper is focused on predicting traffic peaks via deep learning techniques, such as Recurrent Neural Network (RNN), Long Short-...
Radio-over-fiber orthogonal frequency division multiplexing (RoF-OFDM) technology is negatively affected by laser phase noise and chromatic dispersion optical fiber. These impairments normally generate inter-carrier interference (ICI). An extreme learning machine (ELM)-based receiver for RoF-OFDM schemes is proposed to diminish the ICI effect. The...
For years, it has been a great challenge for Internet Service Providers (ISP) to predict traffic load or future demand, since each bit of traffic is an economic cost to operators. Additionally, more and more users are adopting the different telecommunication services as well as the ISP must provide more bandwidth and reliability. In this sense, the...
Power conversion efficiency (PCE) is one of, if not, the most important metric in energy conversion systems, it predicts the energy output of a device, given its input. In radio frequency (RF) energy harvesting (EH) devices, the energy in electromagnetic (EM) waves is captured and turned into a stable low power energy source for various uses, a key...
Due to the coronavirus pandemic and the lack of an automatic COVID-19 diagnostic system to relieve congestion in health centers and to support the traceability of this disease, this article exposes the implementation of algorithms for automatic diagnosis of lung diseases such as COVID-19 and Pneumonia from chest X-rays (CXR) through GLCM and HOG fe...
The use of quantum cryptography aims to perform
a secure key exchange, so that agents outside the system are
not able to obtain information flowing through the channel.This
work proposes the use of a Quantum Key Distribution (QKD)
technique, specifically the BB84 protocol, with the objective of
randomly generating the key for the encryption of info...
This work systematises the requirements of users circulating in the different spaces of a university campus that can be resolved through the services offered by 5G. The methodology is based on the application of surveys to the different actors that interact on university campuses in three South American countries, in order to focus efforts in each...
Underground mining is expected to lead the mining industry in the near future. Due to the advance of electronic devices and communications technologies, new safety regulations must be accomplished in order to operate underground mines safely and optimally. In 2006, the US government updated safety policies and introduced the PUBLIC LAW109-236. As a...
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 channel estimation techniques used in the IEEE 802.11 standard
do not properly perform over vehicular channels. This is becau...
We propose a free-space optical system for the current network topology of university campus buildings and the Astronomical Observatory, at Quito, Ecuador. Using wireless optical communication provides the advantages of a wireless environment and faster data transfer rate. The Free Space Optics (FSO) design considers the worst atmospheric condition...
The modeling of the refractive index for binary aqueous solutions of boric acid, sodium chloride, potassium chloride, sodium sulfate, lithium sulfate, and potassium sulfate, as well as ternary aqueous solutions of boric acid in the presence of sodium sulfate, lithium sulfate, or potassium chloride, is reported. The refraction index was represented...
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, optical links in the visible light spectrum are under intense research for underground mining applications due to their high tra...
Underground mining is an industry that supplies great income for several countries worldwide. Therefore, it is necessary to provide a proper communications infrastructure to this industry. Nevertheless, as is well known, underground mines are very hostile environments, making it difficult to implement current radio frequency (RF) communication tech...