Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.

Razieh Pourdarbani Sajad Sabzi Mario Hernández Hernández José Luis Hernández-Hernández Ginés García_Mateos Davood Kalantari José Miguel Molina Martínez (2019, [Artículo])

Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific spraying, and targeted disease control under natural light. This paper studies and compares five methods to segment plum fruit images under ambient conditions at 12 different light intensities, and an ensemble method combining them. In these methods, several color features in different color spaces are first extracted for each pixel, and then the most e

ective features are selected using a hybrid approach of artificial neural networks and the cultural algorithm (ANN-CA). The features selected among the 38 defined channels were the b* channel of L*a*b*, and the color purity index, C*, from L*C*h. Next, fruit/background segmentation is performed using five classifiers: artificial neural network-imperialist competitive algorithm (ANN-ICA); hybrid artificial neural network-harmony search (ANN-HS); support vector machines (SVM); k nearest neighbors (kNN); and linear discriminant analysis (LDA). In the ensemble method, the final class for each pixel is determined using the majority voting method. The experiments showed that the correct classification rate for the majority voting method excluding LDA was 98.59%, outperforming the results of the constituent methods.

remote sensing in agriculture artificial neural network hybridization environmental conditions majority voting plum segmentation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Interfaces hápticas para identificar marcadores digitales del Trastorno del Espectro Autista

Haptic interfaces to identify digital markers of Autism Spectrum Disorder

GLORIA IVONNE MONARCA PINTLE (2023, [Tesis de doctorado])

El uso de herramientas de cribado durante la infancia es de suma importancia para identificar a niños que pueden Trastorno del Espectro Autista (TEA); sin embargo, las pruebas que existen en la actualidad se basan en cuestionarios y observaciones contestadas por los padres por lo que el resultado puede ser subjetivo. Además, la mayoría de las pruebas de cribado se enfocan en el área social y de comunicación, dejando a un lado las características sensoriales, un área donde los padres notan las primeras señales de un desarrollo atípico. En los últimos años, ha crecido el interés por identificar marcadores digitales del TEA que puedan apoyar el cribado de dicho trastorno, usando tecnología que pueda ser usada en cualquier lugar y momento para agilizar el proceso de cribado. Hasta el momento, la investigación en torno a marcadores digitales del TEA relacionados con el procesamiento táctil, ha sido poco explorada debido a que la investigación se ha centrado en explorar otros comportamientos, como la atención visual, movimientos motores, y voz. El crecimiento de las interfaces hápticas abre la posibilidad de explorar el procesamiento táctil e identificar marcadores digitales del TEA. En esta tesis exploramos si las interfaces hápticas pueden ser usadas para promover y recolectar interacciones táctiles que revelen marcadores digitales del TEA. Para tener un mejor entendimiento de las interfaces hápticas, en este trabajo de tesis exploramos dos interfaces hápticas. Una interfaz háptica pasiva llamada BendableSound, la cual cuenta con una retroalimentación por textura y espacio; y una interfaz háptica activa llamada Feel and Touch, la cual es un juego móvil que utiliza patrones vibrotactiles para retroalimentar las interacciones de los niños. Los resultados muestran que las interfaces hápticas tienen la capacidad recolectar interacciones táctiles y revelar marcadores digitales que pueden estar asociados al TEA. En el caso pasivo, participaron 37 niños neurotípicos (NT) y 22 niños con TEA quienes interactuar con BendableSound; los resultados muestran que existen diferencias entre los niños NT y TEA en cuanto al ancho de las interacciones táctiles, la fuerza que aplican y el tiempo que utilizan para realizar interacciones táctiles. En el caso activo, participaron 36 niños NT y 19 niños con TEA quienes interactuaron con Feel and Touch; los resultados muestran que existen diferencias entre los niños NT y TEA en cuanto a la ...

The use of screening tools during infancy is crucial to identify children who are likely to have Autism Spectrum Disorder (ASD); however, the current screening tests are based on questionnaires and observations that parents answer bases on their observations; however, the results might be subjective. In addition, most screening tests focus on the assessment of social and communication skills, disregard sensory skills, an area where parents often notice the first signals of ASD. In recent years, there has been growing interest in identifying digital markers of ASD that can support screening, particularly those that that can be used at any time and any place to speed up the screening process. So far, research on digital markers of ASD related to tactile processing has been little explored due to the lack of tools to assess it. The growth of haptic interfaces opens the possibility to explore tactile processing and identify digital markers of ASD. In this thesis, we propose to investigate the use of haptic interfaces to promote and collect tactile interactions that can reveal digital markers of ASD. To have a better understanding of haptic interfaces, in this thesis work we explore two types of haptic interface. A passive haptic interface called BendableSound, which features texture and spatial feedback; and an active haptic interface called Feel and Touch, which is a mobile game that uses vibrotactile patterns to provide feedback on children’s interactions. The results show that haptic interfaces have the potential to collect touch interactions and reveal digital markers that may be associated with ASD. In the first case, 37 neurotypical (NT) children and 22 children with ASD participated and interacted with BendableSound; the results show that there are differences between NT and ASD children in the width of tactile interactions, the force they apply, and the time they use to perform tactile interactions. In the second case, 36 NT children and 19 children with ASD participated and interacted with Feel and Touch; the results show that there are differences between NT and ASD children in terms of the tilt they produce on the mobile when performing tactile interactions, the total acceleration they produce, and the closeness to the center of the screen of their tactile interactions. The results of this thesis indicate that haptic interfaces have the ability to gather touch interactions and uncover digital markers associated with ASD. The findings of this ...

autismo, cribado, marcadores digitales, interfaces hápticas, aprendizaje automático autism, screnning, digital markers, haptic interfaces, machine learning INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES ORDENADORES DIGITALES ORDENADORES DIGITALES

Object manipulation by collaborative autonomous underwater vehicles driven by a model-free second-order sliding mode controller with finite-time convergence

JOSUE GONZALEZ GARCIA (2023, [Artículo])

https://orcid.org/0000-0001-5657-380X

The use of Autonomous Underwater Vehicles (AUV) has expanded in recent years to include them in inspection, maintenance, and repair missions. These missions require the automation of tasks such as autonomous navigation and station-keeping, which are pretty challenging due to the complexity of the vehicle itself and the underwater environment. Traditional control strategies have been used to deal with those problems before, but their performance is limited since they do not consider non-linearities, external disturbances, or model uncertainties. Non-traditional controllers have been explored too, but have shortcomings such as being model-based, parameter-dependant, or so. Additionally, the nature of some objects implies the involvement of multiple vehicles to manipulate them, making the manipulation mission even harder. Collaboration of AUVs is a strong challenge since underwater communications are limited or null. An advanced control strategy dealing with the trajectory tracking and the station-keeping problem would be desirable for simplicity and robustness. If this controller could also help coordinate multiple vehicles without requiring them to communicate with each other, it would make collaborative manipulation tasks reachable. For this purpose, a model-free high-order Sliding Mode Controller (SMC) is presented in this project. Unlike other control approaches, the proposed control strategy achieves finite-time convergence to a practical zero error in a time-base that the user can arbitrarily define. This characteristic will be used to coordinate the navigation of two AUVs to manipulate an object underwater. The performance of the proposed controller was evaluated by numerical simulations and experiments in a semi-Olympic swimming pool and compared with classic and state-of-the-art control strategies regarding trajectory tracking and station-keeping problems. Results have shown that the proposed controller can achieve finite-time convergence of the tracking errors to a practical zero value in the predefined time-base. Results also demonstrated that the convergence time could be arbitrarily selected by the user and achieved by the controller resulting in, as far as the author knows, the first controller with this characteristic for AUVs navigation. The simulations and experiments also showed that the proposed controller outperformed classical and state-of-the-art controllers regarding the Root Mean Square of the tracking errors and energy consumption. Finally, the proposed model-free high-order SMC coordinated two BlueROV2 vehicles in a collaborative manipulation mission without vehicle-to-vehicle communication. Numerical simulation results confirmed that the proposed controller could manage the vehicles to follow a predefined coordinated trajectory to approach, grip, transport, and release an object without communicating with each other.

Doctor of Philosophy In Engineering Science

INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LA INSTRUMENTACIÓN INGENIERÍA DE CONTROL INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA NAVAL VEHÍCULOS SUBMARINOS

Neural network assisted composition for piano in jazz

Ismael Medina Muñoz (2023, [Tesis de maestría])

Artificial Intelligence has taken an important role in activities that were once considered exclusively human. Generative AI is a vibrant area of research, with increasing interest in application fields related to the arts. The recent plethora of innovations in fields like visual arts and natural language processing, which are able to engage in dialogue with users, are just two examples of commercial applications that are driving innovation research for big tech giants. It would not be untrue to say that these innovations are shaping mankind’s development.

Music is an investigative field that presents a challenge. Musical theory itself is challenging for humans, and music is as diverse and rich as the cultures in which it has evolved. This research and proposal is intended as a novel approach to creating a generative artificial intelligence that assists in piano composition for jazz tunes. This genre was selected because of the challenge that its richness and complexity for musical execution and interpretation pose.

By using a Recurrent Neural Net to create new sequences of n-notes from an initial n-note set and using a probabilistic approach to set the duration of each note in the produced n-notes set, the generative artificial intelligence described in this document is the piano composer assistant for jazz tunes.

Inteligencia Artificial INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LAS TELECOMUNICACIONES DISPOSITIVOS DE GRABACIÓN DISPOSITIVOS DE GRABACIÓN

Genotype×Environment interaction and stability analysis using GGE biplot for grain yield of bread wheat (Triticum aestivum) genotypes under low moisture stress areas of Ethiopia

Ayele Badebo Huluka Bekele Abeyo (2023, [Artículo])

Moisture Stress Grain Yield CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPE ENVIRONMENT INTERACTION DROUGHT STRESS STABILITY TRITICUM AESTIVUM LATTICE DESIGN

Remoción de DQO y SST con biorreactor tipo Nereda escala laboratorio implementando una membrana de microfiltración y flujo en región laminar

José María Silva Corrugedo (2022, [Tesis de maestría])

El tratamiento de aguas residuales municipales es una práctica ampliamente

extendida para la reutilización y posterior reincorporación de aguas contaminadas a

las redes de distribución del vital líquido en una ciudad, ya sean redes industriales,

agrícolas o domésticas. La Ciudad de Chihuahua, capital del estado del mismo

nombre, no es la excepción al contar con dos plantas tratadoras de aguas residuales

(PTAR) para satisfacer la demanda de salubridad que requiere su población. Dichas

plantas tienen un proceso de lodos activados aerobios, por lo cual son consideradas

plantas convencionales.

Una de las desventajas que presentan dichos sistemas convencionales, es

la separación del lodo floculante, la cual se da mediante un proceso lento de

sedimentación. Gracias al desarrollo de los gránulos aerobios, en 2005 en los

Países Bajos, se puso en marcha la primera planta de tratamiento de aguas

residuales Nereda. Dicha tecnología consiste en aprovechar la geometría de los

gránulos, que permite una rápida sedimentación de estos, para formar una capa de

lodos al fondo del tanque de alimentación. Esta capa funciona como una barrera

física y es la clave para el funcionamiento de la tecnología Nereda, puesto que la

misma funge como un separador dentro del mismo tanque. Con la capa de lodo

presente, por la parte inferior del tanque se puede alimentar agua residual sin que

ésta entre en contacto con el agua ya tratada ubicada por encima del lodo. Así se

obtiene una ventaja por parte de la tecnología Nereda por sobre la granulación

aerobia tradicional, puesto que el llenado y vaciado del tanque se puede realizar de

manera simultánea.

DQO microfiltración biorreactor INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS INGENIERÍA Y TECNOLOGÍA DEL MEDIO AMBIENTE OTRAS OTRAS

Metodología de evaluación de tecnologías apropiadas

JOSE LUIS MARTINEZ RUIZ RICARDO VICTOR LOPEZ MERA (2013, [Documento de trabajo])

El informe describe la metodología básica desarrollada para evaluar la adopción social de las ecotecnias o tecnologías apropiadas, transferidas a los usuarios en zonas rurales y periurbanas.

Ecotecnologías Tecnología apropiada Transferencia de tecnología Evaluación Informes de proyectos CIENCIAS SOCIALES

Transferencia tecnológica para la adaptación a la crisis climática : un análisis del Proyecto Technology Needs Assessment del UNEP-DTU Partnership

Francisco Javier Pérez Pineda (2021, [Tesis de maestría])

"En los últimos 150 años se han incrementado exponencialmente las emisiones y concentraciones de gases de efecto invernadero (GEI) en la atmosfera, "a medida que la población, las economías y el nivel de vida (con el asociado incremento de consumo) crecen, también lo hace el nivel acumulado de emisiones de este tipo de gases" (ONU, 2020a), dando como resultado un aumento generalizado de la temperatura promedio global y una alteración de los procesos del sistema climático de la Tierra, lo que conocemos comúnmente como cambio climático antropogénico."

Tecnología; Países en desarrollo; Aspectos ambientales; Cambio climático; Aspectos tecnológicos; Desarrollo sostenible; Medio ambiente; Cooperación internacional CIENCIAS SOCIALES CIENCIA POLÍTICA RELACIONES INTERNACIONALES RELACIONES INTERNACIONALES

Uso potencial de pellets para el tratamiento de aguas contaminadas con arsénico en comunidades de Xichú, Gto., México

Pellets potential use for the treatment of contaminated water with arsenic in communities Xichú, Gto. Mexico

ALMA HORTENSIA SERAFIN MUÑOZ MELINA GUADALUPE MEDINA GARCIA FRANCISCO AGUSTIN VIDO GARCIA BERENICE NORIEGA LUNA ADRIAN ZAMORATEGUI MOLINA (2017, [Artículo])

En el presente trabajo se llevó a cabo el desarrollo del uso de pellets, provenientes de resi-duos lignocelulósicos, para el tratamiento de aguas contaminadas con arsénico de las comu-nidades del municipio de Xichú, Gto., México. Las muestras de agua, n = 72, se evaluaron con base en la NOM-127-SSA1-1994. La concentración más alta de arsénico fue arriba de los límites permisibles, 0.2 mg.L–1 ± 0.04 mg.L–1. Los pellets utilizados fueron a partir de aserrín, paja de trigo, agave y sorgo. Se optimizó la rampa de temperatura para la mejor consistencia de los pellets. Se realizaron varios diseños experimentales con los pellets, n = 162, a diferentes condiciones, para desarrollar el proceso de activación y tratamiento con Fe (III). Los pellets obtenidos fueron colocados en muestras de agua contaminadas con ar-sénico por 24 h. Se logró una remoción de arsénico a pH entre 6.5 a 7, del 98.50% ± 1.2%.

Present work was carried out development of use of pellets from lignocellulosic waste for arsenic-contaminated waters treatment in communities of the municipality of Xichu, Guanajuato, Mexico. Water samples, n = 72, were evaluated based on NOM-127-SSA1-1994.

The highest concentration of arsenic was above permissible limits, 0.2 mg.L–1 ± 0.04 mg.L–1. Pellets used were from sawdust, wheat straw, agave and sorghum. Temperature ramp to the best consistency of pellets is optimized. Several experimental designs with pellets were

performed,n = 162, in different conditions to develop activation process and treatment with Fe (III). Pellets obtained were placed in water samples contaminated with arsenic 24 h. Arsenic removal at pH between 6.5 to 7, of 98.50% ± 1.2% was achieved.

BIOLOGÍA Y QUÍMICA Arsénico Pellets Lignocelulósica Tecnologías sustentables Xichú, Gto. México Arsenic Lignocellulosic wastes Sustainable technologies

A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Roberto Carlos Morales-Hernández Joaquín Gutiérrez Jaguey David Becerra-Alonso (2022, [Artículo])

"The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset."

Classification algorithm, multi-label text classification, problem transformation method, scientific articles, sustainable development goals, text classification INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES ALGORÍTMICOS LENGUAJES ALGORÍTMICOS