Fernando Merchan

Fernando Merchan
Universidad Tecnológica de Panamá | UTP · Facultad de Ingeniería Eléctrica

PhD

About

59
Publications
11,343
Reads
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91
Citations
Citations since 2016
34 Research Items
86 Citations
20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025
Additional affiliations
September 2005 - December 2009
Université Bordeaux 1
Position
  • PhD Student

Publications

Publications (59)
Article
Full-text available
En este documento se desarrollan algunos métodos específicos para llevar a cabo un clasificador que sea capaz de identificar manatíes adultos y cría de distintos audios. La duración de las vocalizaciones se evaluó con un método de eliminación de ruido basado en eliminación de silencios, para luego aprovechar esta señal y evaluar uno de los principa...
Article
Full-text available
The spectrum has always been an essential resource of information for wireless communications. With the continued growth of Internet of things (IoT) and 5G, there is a demand to understand how the spectrum is used. One of the challenges of deploying IoT applications is the crowded spectrum in the unlicensed industrial scientific medical bands leadi...
Article
En este artículo se explican los fundamentos y consideraciones necesarias para la implementación de dos o más sensores ultrasónicos HC-SR04, con disposición distinta a configuraciones de posiciones convencionales para sensores de detección y distancia, en vehículos autónomos y robots. Se propone un método de distinción de pulsos ultrasónicos emitid...
Article
In signal processing, ARMA processes are widely used to model short-memory processes. In various applications, comparing or classifying ARMA processes is required. In this paper, our purpose is to provide analytical expressions of the divergence rates of the Kullback-Leibler divergence, the Rényi divergence (RD) of order α and their symmetric versi...
Chapter
Full-text available
This chapter focuses on the contributions made in the development of assistive technologies for the navigation of blind and visually impaired (BVI) individuals. A special interest is placed on vision-based systems that make use of image (RGB) and depth (D) information to assist their indoor navigation. Many commercial RGB-D cameras exist on the mar...
Article
Full-text available
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry is an analytical method that detects macromolecules that can be used for proteomic fingerprinting and taxonomic identification in arthropods. The conventional MALDI approach uses fresh laboratory-reared arthropod specimens to build a reference mass spectra library...
Article
Full-text available
We evaluated the potential of using convolutional neural networks in classifying spectrograms of Antillean manatee (Trichechus manatus manatus) vocalizations. Spectrograms using binary, linear and logarithmic amplitude formats were considered. Two deep convolutional neural networks (DCNN) architectures were tested: linear (fixed filter size) and py...
Preprint
Full-text available
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry is an analytical method that detects macromolecules that can be used as biomarkers for taxonomic identification in arthropods. The conventional MALDI approach uses fresh laboratory-reared arthropod specimens to build a reference mass spectra library with high-quali...
Chapter
Full-text available
In this work, an analysis of the principal characteristics, scientific aims and some initial results, of the Iberoamerican R&D network “Ditecrod” (Project of CYTED) is made. This network is based on an international agreement to propitiate an efficient trans-disciplinary cooperation in a scientific area where currently significant research efforts...
Article
En el presente artículo se propone un método de reconocimiento automático de canto de aves. Este método está basado en el análisis de componentes principales del espectrograma de los cantos, implementado mediante la técnica de eigenfaces. Para la preparación de la base de datos se implementó un método de detección de actividad acústica por medio de...
Article
Full-text available
This work presents a methodology to automatically detect and identify manatee vocalizations in continuous passive acoustic underwater recordings. Given that vocalizations of each manatee present a slightly different frequency content, it is possible to identify individuals using a non-invasive acoustic approach. The recordings are processed in four...
Article
Full-text available
Background Malaria control in Panama is problematic due to the high diversity of morphologically similar Anopheles mosquito species, which makes identification of vectors of human Plasmodium challenging. Strategies by Panamanian health authorities to bring malaria under control targeting Anopheles vectors could be ineffective if they tackle a misid...
Poster
Full-text available
The determination of water quality in rivers is a very important task for ensuring the well-being of any population [1]. Moreover, It is very laborious task, involving a combination of chemical and microbiological analysis techniques. A low cost alternative to achieve this same goal is the use of biomonitoring or recognition of macroinvertebrate or...
Conference Paper
The determination of water quality in rivers is a very important task for ensuring the well-being of any population. Moreover, It is very laborious task, involving a combination of chemical and microbiological analysis techniques. A low cost alternative to achieve this same goal is the use of biomonitoring or recognition of macroinvertebrate organi...
Conference Paper
Full-text available
In Panama, there are community organizations that guarantee access to water for human consumption to more than 20% of the country's total population. For the sustainability of the water resource, it is essential to involve the communities in the process of monitoring the water quality. This can be achieved through the implementation of participator...
Article
This paper proposes a new method for identifying ARMA models in the presence of additive white noise. The method operates with two main steps. First, the noisy ARMA model is approximated by the sum of an high-order AR model with an additive white noise. The parameters of the high-order AR model as well as the driving noise and the additive noise va...
Research
Full-text available
This paper shows the results from the computation cost evaluation of three blind source separation algorithms. The algorithms tested were: FastICA, Adaptive Algorithm Based on Natural Gradient, and Adaptive EASI Based on Relative Gradient.
Conference Paper
Full-text available
Resumen– En este trabajo se propone una metodología para el manejo de los servicios parciales en la línea 1 del metro de Panamá. Para validar esta propuesta se presentan los resultados una serie de simulaciones que permiten caracterizar el modelo propuesto con esta metodología a nivel de ingeniería ferroviaria. Palabras Clave—Metro
Article
Full-text available
Passenger flow modeling and station dwelling time estimation are significant elements for railway mass transit planning, but system operators usually have limited information to model the passenger flow. In this paper, an artificial-intelligence technique known as fuzzy logic is applied for the estimation of the elements of the origin-destination m...
Conference Paper
Nowadays, there is a great interest for efficient usage of the electric energy. One of the latest trends to contribute to this issue is Smart Grid (SG). This grid allows knowing real-time energy consumption by using information and communication technology (ICT). The use of wireless communications has been considered among these technologies becaus...
Conference Paper
This paper shows the results from the computation cost evaluation of three blind source separation algorithms. The algorithms tested were: FastICA, Adaptive Algorithm Based on Natural Gradient, and Adaptive EASI Based on Relative Gradient. The algorithms were chosen for their relative simplicity, and taking into account their hardware implementatio...
Article
Full-text available
Resumen-El presente artículo aborda aspectos del entrenamiento de la máquina de aprendizaje AdaBoost con modelos de reconocimiento de objetos basados en características de apariencia tales como: Patrones Binarios Locales (LBP), Histograma de Gradientes Orientados (HOG) y características tipo Haar para la detección de sonrisas. En este contexto real...
Article
Resumen-El presente artículo aborda aspectos del entrenamiento de la máquina de aprendizaje AdaBoost con modelos de reconocimiento de objetos basados en características de apariencia tales como: Patrones Binarios Locales (LBP), Histograma de Gradientes Orientados (HOG) y características tipo Haar para la detección de sonrisas. En este contexto real...
Article
Resumen-El presente artículo aborda aspectos del entrenamiento de la máquina de aprendizaje AdaBoost con modelos de reconocimiento de objetos basados en características de apariencia tales como: Patrones Binarios Locales (LBP), Histograma de Gradientes Orientados (HOG) y características tipo Haar para la detección de sonrisas. En este contexto real...
Article
Resumen-El presente artículo aborda aspectos del entrenamiento de la máquina de aprendizaje AdaBoost con modelos de reconocimiento de objetos basados en características de apariencia tales como: Patrones Binarios Locales (LBP), Histograma de Gradientes Orientados (HOG) y características tipo Haar para la detección de sonrisas. En este contexto real...
Article
Full-text available
El presente artículo aborda aspectos del entrenamiento de la máquina de aprendizaje AdaBoost con modelos de reconocimiento de objetos basados en características de apariencia tales como: Patrones Binarios Locales (LBP), Histograma de Gradientes Orientados (HOG) y características tipo Haar para la detección de sonrisas. En este contexto realizamos u...
Article
Full-text available
The present study provides a perspective of the performance and the quality of service provided by operators of cellular telephony in Panama. During the months from January to April 2014 measurements of mobile communications parameters in the surrounding areas of the Universidad Tecnológica de Panama and its buildings have been made. The measuremen...
Conference Paper
In this work we present an extension of the SIFT algorithm to color images. In the extrema detection stage, an energy level descriptor based on the color tensor of the image is computed and used to locate keypoints candidates. Then, in the description stage, the color gradient magnitude and orientation of the samples around the keypoint are used to...
Conference Paper
Full-text available
En la actualidad, el aumento en la cantidad de usuarios y las aplicaciones a las que estos pueden acceder en los sistemas de telefonía celular ha producido un incremento en el consumo de energía. La industria de la tecnología de las comunicaciones emite aproximadamente 2% de los gases invernaderos del mundo. Por esta razón, la industria ha comenzad...
Conference Paper
Full-text available
Cada proceso fisiológico dentro de un organismo está caracterizado por ciertas señales que indican su naturaleza y las actividades que conllevan. Estas señales son llamadas señales biomédicas, las cuales pueden utilizarse para la extracción de información sobre el sistema biológico y contienen datos útiles para la comprensión de síntomas, enfermeda...
Conference Paper
Full-text available
En los últimos años las técnicas de procesamiento de imagen y video han tomado un rol más significativo en la implementación de esquemas de seguridad basado en sistemas de videovigilancia [1]. El análisis de imágenes de videovigilancia permite realizar tareas tales como la identificación de criminales o personal autorizado, detección de comportamie...
Conference Paper
Full-text available
Actualmente hay un gran interés por desarrollar interfaces amigables entre el humano y la computadora con el propósito de que sea sencilla y natural la manera de operar dispositivos. Entre las formas de interactuar existentes, una de las más novedosas y aun en desarrollo es por medio del reconocimiento de expresiones faciales. Identificar expresion...
Conference Paper
There is much interest in the application of subspace based signal processing techniques for wavefield imaging of scatterers from the scattering matrix. These approaches are part of the modern focus on so called "qualitative" methods in inverse scattering. Most of these methods are valid in the exact scattering regime including multiple scattering...
Article
The paper deals with the design of Rayleigh fading channel simulators based on the inner–outer factorization. The core of the approach is to approximate the outer spectral factor of the channel power spectral density (PSD) by either finite-order polynomials or rational functions. This, respectively, leads to MA or AR/ARMA models. The parameter esti...
Thesis
Full-text available
In this thesis we propose new parametric models in signal and image processing based on the Wold decomposition of stationary stochastic processes. These models rely upon several theoretical results from functional and harmonic analysis, wavelet analysis and the theory of stochastic fields, The first chapter presents the theoretical background of th...
Article
Full-text available
La représentation hybride d'image utilise conjointement la décomposition en ondelettes pour l'information structurée et la modélisation paramétrique pour les textures. Dans ce cadre, nous proposons un algorithme qui décompose une image dans ses composantes texturées et non texturées. L'algorithme est fondée sur la régularité locale et il effectue l...
Article
Full-text available
The paper first deals with the design of Rayleigh fading channel simulators based on a Moving Average (MA) model. We present a new approach to estimate the model parame-ters based on the inner-outer factorization. The core of the approach consists in assimilating an infinite-order MA model to the outer spectral factor of the channel power spectral...
Article
Full-text available
Nous proposons une nouvelle méthode pour l'estimation de paramètres d'un modèle 2-D MA infini tronqué associé aux champs stationnaires non déterministes. Cette méthode est développée dans le cadre d'approches d'analyse et de synthèse fondées sur l'utilisation de modèles paramétriques. La méthode d'estimation de paramètres proposée est exploitée pou...
Article
Full-text available
In this paper, we propose a new method to compute the parameters of finite approximations of 2-D MA infinite models associated with purely indeterministic stationary fields, by using spectral factorizations. This method is developed in the framework of model based approaches for texture analysis and synthesis. The proposed parameter estimation meth...

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Projects (2)
Project
Better understand the limitations of computer vision and machine learning methods for the development of aids for Blind and Visually Impaired (BVI) individuals