Mauricio Gabriel Orozco-del-CastilloInstituto Tecnológico de Mérida · Department of Systems and Computing
Mauricio Gabriel Orozco-del-Castillo
Doctor of Philosophy
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41
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178
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Citations since 2017
Introduction
Applications of Artificial Intelligence
Publications
Publications (41)
The development of systems that help automate and manage people’s lives at different levels is what has driven the enormous growth that humanity has had. On the other hand, the COVID-19 pandemic has meant an unprecedented event that has marked a before and after for the entire world. As a result of this, companies and institutions implemented vario...
Mental disorders in the young adult population are becoming more frequent, largely due to the COVID-19 pandemic. This has led to the need to find new ways to adapt to therapeutic methods, offering greater attractiveness for this age range, and in many studies, it has been reported that this can be achieved thanks to video games. In this work, a con...
The detection, classification and analysis of emotions has been an intense research area in the last years. Most of the techniques applied for emotion recognition are those comprised by Artificial Intelligence, such as neural networks, machine learning and deep learning, which are focused on the training and learning of models. In this work, we pro...
The drastic decrease in snow and ice cover on the main peaks of the Trans-Mexican Volcanic Belt has been observed by both the civilian population and scientists. This decrease has occurred particularly in the once considered permanent glaciers on such peaks. Here, Landsat images are used to evaluate the change in snow and ice cover on the three mai...
Depression is unfortunately a very common illness, affecting over 264 million people worldwide, which in extreme cases can lead to suicide. While there are treatments for mental disorders, including depression, many people do not receive adequate treatment or even psychological attention due to lack or resources, social stigmas, inaccurate assessme...
The forecast of electric power generation and supply with respect to an expected demand is a matter of national strategy for countries around the world as well as of vital importance for the assurance and viability of current societies. In the state of Yucatan, Mexico, power generation authorities often experience overproduction due to estimations...
Research on eXplainable AI (XAI) is continuously proposing novel approaches for the explanation of image classification models, where we can find both model-dependent and model-independent strategies. However, it is unclear how to choose the best explanation approach for a given image, as these novel XAI approaches are radically different. In this...
Data supporting the manuscript entitled "Urban expansion and its impact on meteorological variables of the city of Merida, Mexico: discussion"
This paper is the result of a research done from the Socioepistemological Theory of Mathematics Education, perspective in which we enquire about the reasons to study trigonometric Fourier series in electrical engineering, and what historical and epistemological conditions can be considered to develop more profound meanings when this topic is addres...
Large impact structures are characterized by peak ring and central uplifts with lateral/vertical mass transport during late formation stages. Here we investigate the Chicxulub crater, which has been surveyed by an array of marine, aerial and land-borne geophysical methods. Seismic reflection surveys in its central sector have shown lack of resoluti...
This paper presents the results of the implementation of a design focused on the resignification of the parameters of the quadratic equation parabolas) through the context of a physical phenomenon. This design was based on an epistemology of practices framed in principles of cognitive and social constructivism, particularly the socioepistemological...
Low-cost options to provide local transactional network coverage are LPWAN (Low Power Wide Area Network), which are simpler to implement and to manage. The emerging technology known as LoRaWAN represents a promising LPWAN option due to its relative long range, as well as the technological development opportunities given its recent introduction and...
The COVID-19 disease, caused by a new coronavirus known as SARS-CoV-2, has recently emerged and caused the death of thousands of persons all around the world. One of the main issues with the disease has been, on one hand, the saturation of the medical personnel, and on the other, the untimely search of medical attention by patients who could confus...
Potential-field-data imaging of complex geological features in deepwater salt-tectonic regions in the Gulf of Mexico remains an open active research field. There is still a lack of resolution in seismic imaging methods below and in the surroundings of allochthonous salt bodies. In this work, we present a novel three-dimensional potential-field-data...
Nowadays, remote sensing data taken from artificial satellites require high space communications bandwidths as well as high computational processing burdens due to the vertiginous development and specialisation of on-board payloads specifically designed for remote sensing purposes. Nevertheless, these factors become a severe problem when considerin...
Global warming is a real threat for the survival of life on Earth in the following 80 years. The effects of Global Warming are particularly harmful for inhabitants of very saturated urban settlements, which is the case of Mexico City. In this work, we analyse temperature time series from Mexico City Downtown, taken hourly between 1986 and 2019. The...
Agriculture is a fundamental economic activity but implies a large consumption of water; in Mexico, the habanero pepper (Capsicum chinense Jacq.) is one of the main agricultural products. This work presents the design of a Sugeno based fuzzy controller with 18 if-then rules for an irrigation system that allows irrigation to be managed in a sustaina...
Considering the continuous increase of demands in satellite communications, it is imperative to determine systems with higher bandwidths. Furthermore, miniaturization trends coming from the development of nanosatellites as CubeSat’s, constitute great restrictions to their design. Optical communications have the potential to lead with current data r...
It is well known that high impedance contrasts between salt bodies and their surroundings yield blurriness in seismic images which does not allow adequate interpretation; some of the artifacts generated by this process are multiple reflections and diffractions. In this work we propose a novel method of detection and attenuation of multiples from se...
Water body classification is a topic of great interest, especially for the effective
management of floods. Synthetic aperture radar (SAR) imaging has demonstrated a great
potential for water monitoring, given its capacity to register images independent of weather conditions. Several algorithms for water detection using SAR images are based on optim...
El calentamiento global o cambio climático es probablemente el mayor reto científico actual de la humanidad. De todos los factores tanto naturales como antropogénicos involucrados en el calentamiento global, así como sus complejas interrelaciones, poca atención se ha centrado en los factores externos al sistema Tierra, como lo es la variabilidad so...
El estudio de la formación y la evolución de las galaxias re-quiere de la medición de sus parámetros morfológicos. Tradicionalmente, el análisis morfológico se ha llevado a cabo principalmente a través de la extracción y selección de características, o mediante la inspección visual de expertos en un proceso que consume muchos recursos y que resulta...
En este artículo se realiza un análisis de la correlación entre el crecimiento de la mancha urbana y el cambio de temperaturas de la ciudad de Mérida, Yucatán, México, mediante la implementación de técnicas de inteligencia artificial enfocadas a la segmentación de imágenes. Partiendo de una secuencia multitemporal de imágenes satelitales registrada...
A novel fuzzy logic mathematical formulation to obtain accurate synthetic seismograms by means of correlations with noise is presented in this work. Recently, the use of seismic noise, surface waves and seismic ambient information for describing the structure of the Earth has captured the interest of seismologists, geophysicists and in general, the...
The effects of high-energy particles coming from the Sun in human health as well as in the integrity of outer space electronics make prediction of periods of high solar activity a task of significant importance. Since periodicities in solar indexes have been identified, long-term predictions can be achieved. In this paper, we present a method based...
In this work, the Electrical Capacitance Tomography (ECT) technique is applied in monitoring internal deformation of geological analog models, which are used to study structural deformation mechanisms, in particular for simulating migration and emplacement of allochtonous salt bodies. A rectangular ECT sensor was used for internal visualization of...
![Figure 3. Spectral amplitude [cm] as a function of epicentral distance....](profile/Carlos-Ortiz-Aleman/publication/312121124/figure/fig5/AS:668529485418507@1536401258862/Spectral-amplitude-cm-as-a-function-of-epicentral-distance-Eight-frequency-values-in_Q320.jpg)
A parameterized source and path effects inversion method based on the use of global optimization techniques is presented. We applied this method on velocity data from various seismic events collected between August, 2005 and April, 2007 in Mexico by the regional MesoAmerican Subduction Experiment (MASE) seismic network and other stations from the p...
![Figure 3. Spectral amplitude [cm] as a function of epicentral distance....](publication/364164067/figure/fig2/AS:11431281102448924@1669465337792/Spectral-amplitude-cm-as-a-function-of-epicentral-distance-Eight-frequency-values-in_Q320.jpg)
A parameterized source and path effects inversion method based on the use of global optimization techniques is presented. We applied this method on velocity data from various seismic events collected between August, 2005 and April, 2007 in Mexico by the regional MesoAmerican Subduction Experiment (MASE) seismic network and other stations from the p...
Los efectos de las partículas ultra-energéticas provenientes del sol en la salud humana así como en la ingtegridad de equipo electronico espacial, hacen de la predicción de periodos de alta actividad solar una tarea de gran importancia. Dado que se han encontrado periodicidades en los registros solares, se pueden lograr predicciones a largo plazo....
We present a novel approach to automated volume extraction in seismic data and apply it to the detection of allochthonous salt bodies. Using a genetic algorithm, we determine the optimal size of volume elements that statistically, according to the U-test, best characterize the contrast between the textures inside and outside of the salt bodies thro...
We present a three-dimensional (3D) gravity modeling and inversion approach and its application to complex geological settings characterized by several allochthonous salt bodies embedded in terrigenous sediments. Synthetic gravity data were computed for 3D forward modeling of salt bodies interpreted from Prestack Depth Migration (PSDM) seismic imag...
About 90% of all natural earthquakes have epicenters in offshore areas and may cause damage to subsea and floating structures. These excitations can have effects on the performance of facilities installed on the seabed, like foundations, pipelines and subsea equipment for the oil industry. Several studies on this subject have been carried out to sh...
The analytic solution of the gravimetric tensor components, making use of the gravitational potential equation for a three-dimensional volumetric assembly composed of unit prisms of constant density, demands a high computational cost. This is due to the gravitational potential of each one of these prisms must be calculated for all of the points of...
We present a novel method to enhance seismic data for manual and automatic interpretation.
We use a genetic algorithm to optimize a kernel that, when convolved with
the seismic image, appears to enhance the internal characteristics of salt bodies and
the sub-salt stratigraphy. The performance of the genetic algorithm was validated by
the use of tes...
An implementation with the CUDA technology in a single and in several graphics processing units (GPUs) is presented for the calculation of the forward modeling of gravitational fields from a tridimensional volumetric ensemble composed by unitary prisms of constant density. We compared the performance results obtained with the GPUs against a previou...
This work is aimed to obtain numerical results that allow the detection and characterization of subsurface discontinuities in metallic materials by the application of Rayleigh compression and shear elastic waves. The solution is obtained from boundary integral equations, which belong to the field of elasto-dynamics. Subsequent to the implementation...
We present a novel method to enhance seismic data for manual and automatic inter-pretation. We use a genetic algorithm to optimize a kernel that, when convolved withthe seismic image, appears to enhance the internal characteristics of salt bodies andthe sub-salt stratigraphy. The performance of the genetic algorithm was validated bythe use of test...
Since interpretation of seismic data is usually a tedious and repetitive task, the ability to do so automatically or semi-automatically has become an important objective of recent research. We believe that the vagueness and uncertainty in the interpretation process makes fuzzy logic an appropriate tool to deal with seismic data. In this work we dev...
In earthquake engineering and seismology it is of interest to know the surface motion at a given site due to the incoming and scattered seismic waves by surface geology. This can be formulated in terms of diffraction of elastic waves and then the indirect boundary element method (IBEM) for dynamic elasticity is used. It is based on the explicit con...
In this work two novel image processing techniques are applied to detect and delineate complex salt bodies from seismic exploration profiles: Hough transform and principal component analysis (PCA). It is well recognized by the geophysical community that the lack of resolution and poor structural identification in seismic data recorded at sub-salt p...
Projects
Projects (13)
ICASST 2022 is a scientific forum for the dissemination of basic research and/or technological development projects, which allows interaction between professionals, academics and industrialists, promoting scientific-technological collaborations in the aerospace field and related areas. The program includes oral and mural (poster)
presentations, keynote lectures given by widely recognized national and international experts in their area, as well as courses/workshops. The conference will be held in a hybrid way, face-to-face/virtual.
ICASST 2022 will be held at the facilities of Centro de Desarrollo Aeroespacial, Instituto Politécnico Nacional, in the historical center of Mexico City, Mexico. The face-to-face modality will take place as long as sanitary conditions allow it.
To develop and to implement artificial intelligence techniques, particularly machine learning and data science for the management, analysis, and visualization of psychological and school data of undergraduate students to support the initial screening of different psychological disorders
To foster the introduction and applicaiton of Artificial Intelligence to solve fundamental problems in Science and Technology
