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Dr. Jesús Jaime Moreno Escobar
Escuela Superior de Ingeniería Mecánica y Eléctrica, Instituto Politécnico Nacional, México

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0 Autism Spectrum Disorders
0 Neurodevelopmental Disorders
0 compuatioanl imaging
0 Neurosceience
0 computer vision

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Conference paper
Published: 04 August 2021 in Lecture Notes in Networks and Systems
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Using of cryptocurrency has boomed in recent years, such as Bitcoin, Ethereum or Ripple. It is interesting to have a Bitcoin forecasting tool to try to understand the trends at global economic level. A virtual currency that can be used as a means of payment just like physical money. Any cryptocurrency uses peer-to-peer technology and is not controlled by any economic or political entity, such as a bank or government. In 2009, Bitcoin was conceived and was priced at 0.39 USD reaching its all-time high in 2017 with a price of 17,549.67 USD, i.e. 45 thousand times more in less than 10 years. This work focuses on predicting bitcoin-price trending will have in 2020 by using a Self-Affine Fractal Analysis as a tool of artificial intelligence. The results provided by present work in first 6 months agree with 98% with those actually obtained despite training only with data from first days of time series.

ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ana Lilia Coria Páez; Ricardo Tejeida Padilla. Dynamic Analysis of Bitcoin Fluctuations by Means of a Fractal Predictor. Lecture Notes in Networks and Systems 2021, 791 -804.

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ana Lilia Coria Páez, Ricardo Tejeida Padilla. Dynamic Analysis of Bitcoin Fluctuations by Means of a Fractal Predictor. Lecture Notes in Networks and Systems. 2021; ():791-804.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ana Lilia Coria Páez; Ricardo Tejeida Padilla. 2021. "Dynamic Analysis of Bitcoin Fluctuations by Means of a Fractal Predictor." Lecture Notes in Networks and Systems , no. : 791-804.

Journal article
Published: 03 April 2021 in Sensors
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Deaths due to heart diseases are a leading cause of death in Mexico. Cardiovascular diseases are considered a public health problem because they produce cardiorespiratory arrests. During an arrest, cardiac and/or respiratory activity stops. A cardiorespiratory arrest is rapidly fatal without a quick and efficient intervention. As a response to this problem, the VirtualCPR system was designed in the present work. VirtualCPR is a mobile virtual reality application to support learning and practicing of basic techniques of cardiopulmonary resuscitation (CPR) for experts or non-experts in CPR. VirtualCPR implements an interactive virtual scenario with the user, which is visible by means of employment of virtual reality lenses. User’s interactions, with our proposal, are by a portable force sensor for integration with training mannequins, whose development is based on an application for the Android platform. Furthermore, this proposal integrates medical knowledge in first aid, related to the basic CPR for adults using only the hands, as well as technological knowledge, related to development of simulations on a mobile virtual reality platform by three main processes: (i) force measurement and conversion, (ii) data transmission and (iii) simulation of a virtual scenario. An experiment by means of a multifactorial analysis of variance was designed considering four factors for a CPR session: (i) previous training in CPR, (ii) frequency of compressions, (iii) presence of auditory suggestions and (iv) presence of color indicator. Our findings point out that the more previous training in CPR a user of the VirtualCPR system has, the greater the percentage of correct compressions obtained from a virtual CPR session. Setting the rate to 100 or 150 compressions per minute, turning on or off the auditory suggestions and turning the color indicator on or off during the session have no significant effect on the results obtained by the user.

ACS Style

Francisco García Fierros; Jesús Moreno Escobar; Gabriel Sepúlveda Cervantes; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla. VirtualCPR: Virtual Reality Mobile Application for Training in Cardiopulmonary Resuscitation Techniques. Sensors 2021, 21, 2504 .

AMA Style

Francisco García Fierros, Jesús Moreno Escobar, Gabriel Sepúlveda Cervantes, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla. VirtualCPR: Virtual Reality Mobile Application for Training in Cardiopulmonary Resuscitation Techniques. Sensors. 2021; 21 (7):2504.

Chicago/Turabian Style

Francisco García Fierros; Jesús Moreno Escobar; Gabriel Sepúlveda Cervantes; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla. 2021. "VirtualCPR: Virtual Reality Mobile Application for Training in Cardiopulmonary Resuscitation Techniques." Sensors 21, no. 7: 2504.

Journal article
Published: 06 February 2021 in Animals
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Dolphin-Assisted Therapies (DAT) are alternative therapies aimed to reduce anxiety levels, stress relief and physical benefits. This paper is focused on measuring and analyzing dolphins brain activity when DAT is taking place in order to identify if there is any differences in female dolphin’s neuronal signal when it is interacting with control or intervention subjects, performing our research in Delfiniti, Ixtapa, Mexico facilities. We designed a wireless and portable electroencephalographic single-channel signal capture sensor to acquire and monitor the brain activity of a female bottle-nose dolphin. This EEG sensor was able to show that dolphin activity at rest is characterized by high spectral power at slow-frequencies bands. When the dolphin participated in DAT, a 23.53% increment in the 12–30 Hz frequency band was observed, but this only occurred for patients with some disease or disorder, given that 0.5–4 Hz band keeps it at 17.91% when there is a control patient. Regarding the fractal or Self-Affine Analysis, we found for all samples studied that at the beginning the dolphin’s brain activity behaved as a self-affine fractal described by a power-law until the fluctuations of voltage reached the crossovers, and after the crossovers these fluctuations left this scaling behavior. Hence, our findings validate the hypothesis that the participation in a DAT of a Patient with a certain disease or disorder modifies the usual behavior of a female bottle-nose dolphin.

ACS Style

Jesús Moreno Escobar; Oswaldo Morales Matamoros; Erika Aguilar del Villar; Ricardo Tejeida Padilla; Ixchel Lina Reyes; Brenda Espinoza Zambrano; Brandon Luna Gómez; Víctor Calderón Morfín. Non-Parametric Evaluation Methods of the Brain Activity of a Bottlenose Dolphin during an Assisted Therapy. Animals 2021, 11, 417 .

AMA Style

Jesús Moreno Escobar, Oswaldo Morales Matamoros, Erika Aguilar del Villar, Ricardo Tejeida Padilla, Ixchel Lina Reyes, Brenda Espinoza Zambrano, Brandon Luna Gómez, Víctor Calderón Morfín. Non-Parametric Evaluation Methods of the Brain Activity of a Bottlenose Dolphin during an Assisted Therapy. Animals. 2021; 11 (2):417.

Chicago/Turabian Style

Jesús Moreno Escobar; Oswaldo Morales Matamoros; Erika Aguilar del Villar; Ricardo Tejeida Padilla; Ixchel Lina Reyes; Brenda Espinoza Zambrano; Brandon Luna Gómez; Víctor Calderón Morfín. 2021. "Non-Parametric Evaluation Methods of the Brain Activity of a Bottlenose Dolphin during an Assisted Therapy." Animals 11, no. 2: 417.

Article
Published: 22 January 2021 in Multimedia Tools and Applications
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ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ixchel Lina Reyes; Ricardo Tejeida Padilla; Liliana Chanona Hernández. Defining a no-reference image quality assessment by means of the self-affine analysis. Multimedia Tools and Applications 2021, 80, 14305 -14320.

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ixchel Lina Reyes, Ricardo Tejeida Padilla, Liliana Chanona Hernández. Defining a no-reference image quality assessment by means of the self-affine analysis. Multimedia Tools and Applications. 2021; 80 (9):14305-14320.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ixchel Lina Reyes; Ricardo Tejeida Padilla; Liliana Chanona Hernández. 2021. "Defining a no-reference image quality assessment by means of the self-affine analysis." Multimedia Tools and Applications 80, no. 9: 14305-14320.

Journal article
Published: 07 December 2020 in Sensors
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There are several pathologies attacking the central nervous system and diverse therapies for each specific disease. These therapies seek as far as possible to minimize or offset the consequences caused by these types of pathologies and disorders in the patient. Therefore, comprehensive neurological care has been performed by neurorehabilitation therapies, to improve the patients’ life quality and facilitating their performance in society. One way to know how the neurorehabilitation therapies contribute to help patients is by measuring changes in their brain activity by means of electroencephalograms (EEG). EEG data-processing applications have been used in neuroscience research to be highly computing- and data-intensive. Our proposal is an integrated system of Electroencephalographic, Electrocardiographic, Bioacoustic, and Digital Image Acquisition Analysis to provide neuroscience experts with tools to estimate the efficiency of a great variety of therapies. The three main axes of this proposal are: parallel or distributed capture, filtering and adaptation of biomedical signals, and synchronization in real epochs of sampling. Thus, the present proposal underlies a general system, whose main objective is to be a wireless benchmark in the field. In this way, this proposal could acquire and give some analysis tools for biomedical signals used for measuring brain interactions when it is stimulated by an external system during therapies, for example. Therefore, this system supports extreme environmental conditions, when necessary, which broadens the spectrum of its applications. In addition, in this proposal sensors could be added or eliminated depending on the needs of the research, generating a wide range of configuration limited by the number of CPU cores, i.e., the more biosensors, the more CPU cores will be required. To validate the proposed integrated system, it is used in a Dolphin-Assisted Therapy in patients with Infantile Cerebral Palsy and Obsessive–Compulsive Disorder, as well as with a neurotypical one. Event synchronization of sample periods helped isolate the same therapy stimulus and allowed it to be analyzed by tools such as the Power Spectrum or the Fractal Geometry.

ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Liliana Chanona Hernández; Juan Pablo Francisco Posadas Durán; Ana Karen Pérez Martínez; Ixchel Lina Reyes; Hugo Quintana Espinosa. Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing. Sensors 2020, 20, 6991 .

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, Liliana Chanona Hernández, Juan Pablo Francisco Posadas Durán, Ana Karen Pérez Martínez, Ixchel Lina Reyes, Hugo Quintana Espinosa. Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing. Sensors. 2020; 20 (23):6991.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Liliana Chanona Hernández; Juan Pablo Francisco Posadas Durán; Ana Karen Pérez Martínez; Ixchel Lina Reyes; Hugo Quintana Espinosa. 2020. "Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing." Sensors 20, no. 23: 6991.

Conference paper
Published: 01 November 2020 in Advances in Intelligent Systems and Computing
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In this paper, it is proposed a computer-vision system that supports goniometry in the human body in order to provide an alternative digitized tool of a goniometer. The proposed system is based on computer vision algorithms and embedded systems. The device captures an image taken with a camera for Raspberry Pi 3 and it calculates the angle formed between the joints with color segmentation algorithms, contour detection and geometric formulas, in order to display the captured image on an LCD screen for Raspberry Pi 3 and the measured angle. Our algorithm can be considered to be a real-time system since the execution lasts 18.31 ms on average for getting a measure of the arc of movement.

ACS Style

Oswaldo Morales Matamoros; Paola Angélica Ruiz Araiza; Rubén Alejandro Sea Torres; Jesús Jaime Moreno Escobar; Ricardo Tejeida Padilla. Computer-Vision System for Supporting the Goniometry. Advances in Intelligent Systems and Computing 2020, 946 -964.

AMA Style

Oswaldo Morales Matamoros, Paola Angélica Ruiz Araiza, Rubén Alejandro Sea Torres, Jesús Jaime Moreno Escobar, Ricardo Tejeida Padilla. Computer-Vision System for Supporting the Goniometry. Advances in Intelligent Systems and Computing. 2020; ():946-964.

Chicago/Turabian Style

Oswaldo Morales Matamoros; Paola Angélica Ruiz Araiza; Rubén Alejandro Sea Torres; Jesús Jaime Moreno Escobar; Ricardo Tejeida Padilla. 2020. "Computer-Vision System for Supporting the Goniometry." Advances in Intelligent Systems and Computing , no. : 946-964.

Journal article
Published: 07 September 2020 in Sustainability
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The use of virtual and immersion technologies has expanded considerably due to their impact on user experience, economy, knowledge, and sustainable conservation of cultural heritage according to studies conducted in various parts of the world in different disciplines (architecture, economy, entertainment, health, tourism, etc.), including on tourism in Mexico. These technologies are used in some archaeological sites, but development and implementation are scarce due to the lack of economic strategies, infrastructure, and human capital, which are preventing the sustainable exploitation of those sites, although some of these sites have met the basic requirements for providing a better experience to visitors. However, these sites should be studied to propose integral solutions not only to improve the tourist experience, but also to assist in their protection, conservation, and sustainable development. Here, we used knowledge from the soft systems methodology and the hologram generation system to generate proposals to solve the problem described. The result is a sustainable historical-cultural model based on the systemic approach, whose objective is to positively impact the visitor experience while maintaining harmony with the environment.

ACS Style

Angel Ambrosio Arias; Jesús Moreno Escobar; Ricardo Padilla; Oswaldo Matamoros. Historical-Cultural Sustainability Model for Archaeological Sites in Mexico Using Virtual Technologies. Sustainability 2020, 12, 7337 .

AMA Style

Angel Ambrosio Arias, Jesús Moreno Escobar, Ricardo Padilla, Oswaldo Matamoros. Historical-Cultural Sustainability Model for Archaeological Sites in Mexico Using Virtual Technologies. Sustainability. 2020; 12 (18):7337.

Chicago/Turabian Style

Angel Ambrosio Arias; Jesús Moreno Escobar; Ricardo Padilla; Oswaldo Matamoros. 2020. "Historical-Cultural Sustainability Model for Archaeological Sites in Mexico Using Virtual Technologies." Sustainability 12, no. 18: 7337.

Conference paper
Published: 25 August 2020 in Advances in Intelligent Systems and Computing
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The main goal of this work is to carry out a system that complements the tasks of detecting the white cane, locating objects or obstacles that are hollow, exceeding their detection and aerial range, through a stereoscopy system implemented in an embedded breadboard Raspberry PI. Thus, the present work consists of obtaining three-dimensional information through two webcams, for the representation of this a disparity map filtered by Weighted Least Squares is calculated and an algorithm based on the averages of three different regions is proposed. In this way, the system makes a decision which is transmitted to the System User through connected headphones. The system alerts to avoid collisions, with voice commands indicating to the user the best route to avoid obstacles. This system is implemented in a base-3D printer which has a compartment for a battery, which will feed the RaspBerry PI.

ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Jhonatan Castañón Martínez; Mario Mendieta López. Smart Guide System for Blind People by Means of Stereoscopic Vision. Advances in Intelligent Systems and Computing 2020, 527 -544.

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, Jhonatan Castañón Martínez, Mario Mendieta López. Smart Guide System for Blind People by Means of Stereoscopic Vision. Advances in Intelligent Systems and Computing. 2020; ():527-544.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Jhonatan Castañón Martínez; Mario Mendieta López. 2020. "Smart Guide System for Blind People by Means of Stereoscopic Vision." Advances in Intelligent Systems and Computing , no. : 527-544.

Journal article
Published: 25 June 2020 in Brain Sciences
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The recent proliferation of sensor technology applications in therapies to children disabilities to promote positive behavior among such children has produced optimistic results in developing a variety of skills and abilities in them. Dolphin-Assisted Therapy (DAT) has also become a topic of public and research interest for these disorders intervention and treatment. This work exposes the development of a system that controls brain-computer interaction when a patient with different abilities undergoes a DAT. To develop the proposed system, TGAM1, i.e., ThinkGear-AM1 series of NeuroSky company was used, connecting it to an isolated Bluetooth 4.0 communication protocol from a brackish and humid environment, and a Notch Filter was applied to reduce the input noise. In this way, at Definiti Ixtapa-Mexico facilities, we explored the behavior of three-children with Infantile Spastic Cerebral Palsy (Experiment 1), as well as the behavior of Obsessive Compulsive Disorder and neurotypic children (Experiment 2). This was done applying the Power Spectrum Density (PSD) and the Self-Affine Analysis (SSA) from EEG biosignals. The EEG Raw data were time series showing the cerebral brain activity (voltage versus time) Before and During DAT for the Experiment 1, and Before, During DAT and After for the Experiment 2. Likewise, the EEW RAW data were recorded by the first frontopolar electrode (FP1) by means of an EEG biosensor TGAM1 Module. From the PSD we found that in all child-patients an huge increment of brain activity During DAT regarding the Before and After therapy around of 376.28 %. And from the SSA we found that the structure function of the all five child-patients displayed an antipersistent behavior, characterized by σ δ t H , for Before, During DAT and After. Nonetheless, we propose that one way to assess whether a DAT is being efficient to the child-patients is to increase the During DAT time when the samples are collected, supposing the data fitting by a power law will raise over the time, displaying a persistent behavior or positive correlations, until appear a crossover and the curve tends to be horizontal, pointing out that our system has reached a stationary state.

ACS Style

Oswaldo Morales Matamoros; Jesús Jaime Moreno Escobar; Ricardo Tejeida Padilla; Ixchel Lina Reyes. Neurodynamics of Patients during a Dolphin-Assisted Therapy by Means of a Fractal Intraneural Analysis. Brain Sciences 2020, 10, 403 .

AMA Style

Oswaldo Morales Matamoros, Jesús Jaime Moreno Escobar, Ricardo Tejeida Padilla, Ixchel Lina Reyes. Neurodynamics of Patients during a Dolphin-Assisted Therapy by Means of a Fractal Intraneural Analysis. Brain Sciences. 2020; 10 (6):403.

Chicago/Turabian Style

Oswaldo Morales Matamoros; Jesús Jaime Moreno Escobar; Ricardo Tejeida Padilla; Ixchel Lina Reyes. 2020. "Neurodynamics of Patients during a Dolphin-Assisted Therapy by Means of a Fractal Intraneural Analysis." Brain Sciences 10, no. 6: 403.

Journal article
Published: 02 June 2020 in International Journal of Distributed Sensor Networks
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Recently, a wide range of small devices, such as Wi-Fi Internet of things development boards, which are a kind of the microcontroller units in a general purpose board, are interrelated throughout the planet. In addition, certain microcontroller units interact inside our homes when turning lights on or detecting movements, measuring various parameters, such as gas concentrations, [Formula: see text], humidity, and the temperature inside a room, or adjusting the intensity of the lights inside and outside of the house. Likewise, there is a great diversity of microcontroller units, ranging from smart cellular telephones or reduced general purpose devices, ESP8266 or RaspberryPi3 to any type of Internet of things devices. Therefore, the general way of connecting the microcontroller units to the Internet is through hub nodes, so that the information can be propagated and shared among them. The main purpose of this article is to yield an adaptive reconfiguration algorithm to link all the sensor nodes (microcontroller units) of a network based on the fractal topology, avoiding the use of hub nodes, in order for the microcontroller units to share all the parameters established in the Internet of things network only through two adjacent sensor nodes as long as any sensor node in the network knows all the parameters of the other ones, even if the sensor nodes are not adjacent. To achieve the above, in this work, an Internet of things network was built based on the Hilbert fractal for being a filling-space curve yielded from the L-systems paradigm, so this fractal Hilbert topology allows access to the entire Internet of things network in a dynamic way, and it is possible to reconfigure the network topology when a new sensor node is attached by applying artificial intelligence to intelligent and dynamic environments.

ACS Style

Jaime Moreno; Oswaldo Morales; Ricardo Tejeida; Hugo Quintana; Grigori Sidorov. Generation of broadcasting for fractal adaptive Internet of things reconfiguration under the swarm intelligence paradigm. International Journal of Distributed Sensor Networks 2020, 16, 1 .

AMA Style

Jaime Moreno, Oswaldo Morales, Ricardo Tejeida, Hugo Quintana, Grigori Sidorov. Generation of broadcasting for fractal adaptive Internet of things reconfiguration under the swarm intelligence paradigm. International Journal of Distributed Sensor Networks. 2020; 16 (6):1.

Chicago/Turabian Style

Jaime Moreno; Oswaldo Morales; Ricardo Tejeida; Hugo Quintana; Grigori Sidorov. 2020. "Generation of broadcasting for fractal adaptive Internet of things reconfiguration under the swarm intelligence paradigm." International Journal of Distributed Sensor Networks 16, no. 6: 1.

Journal article
Published: 20 May 2020 in Applied Sciences
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This work presents the HSS-Cognitive project, which is a Healthcare Smart System that can be applied in measuring the efficiency of any therapy where neuronal interaction gives a trace whether the therapy is efficient or not, using mathematical tools. The artificial intelligence of the project underlies in the understanding of brain signals or Electroencephalogram (EEG) by means of the determination of the Power Spectral Density (PSD) over all the EEG bands in order to estimate how efficient was a therapy. Our project HSS-Cognitive was applied, recording the EEG signals from two patients treated for 8 min in a dolphin tank, measuring their activity in five experiments and for 6 min measuring their activity in a pool without dolphin in four experiments. After applying our TEA (Therapeutic Efficiency Assessment) metric for patient 1, we found that this patient had gone from having relaxation states regardless of the dolphin to attention states when the dolphin was presented. For patient 2, we found that he had maintained attention states regardless of the dolphin, that is, the DAT (Dolphin Assisted Therapy) did not have a significant effect in this patient, perhaps because he had a surgery last year in order to remove a tumor, having impact on the DAT effectiveness. However, patient 2 presented the best efficiency when doing physical therapy led by a therapist in a pool without dolphins around him. According to our findings, we concluded that our Brain-Inspired Healthcare Smart System can be considered a reliable tool for measuring the efficiency of a dolphin-assisted therapy and not only for therapist or medical doctors but also for researchers in neurosciences.

ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Ixchel Lina Reyes; Liliana Chanona Hernández; Ana Gabriela Ramírez Gutiérrez. Brain-Inspired Healthcare Smart System Based on Perception-Action Cycle. Applied Sciences 2020, 10, 3532 .

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, Ixchel Lina Reyes, Liliana Chanona Hernández, Ana Gabriela Ramírez Gutiérrez. Brain-Inspired Healthcare Smart System Based on Perception-Action Cycle. Applied Sciences. 2020; 10 (10):3532.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Ixchel Lina Reyes; Liliana Chanona Hernández; Ana Gabriela Ramírez Gutiérrez. 2020. "Brain-Inspired Healthcare Smart System Based on Perception-Action Cycle." Applied Sciences 10, no. 10: 3532.

Journal article
Published: 18 May 2020 in Sensors
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The Industrial Internet of Things (IIoT) network generates great economic benefits in processes, system installation, maintenance, reliability, scalability, and interoperability. Wireless sensor networks (WSNs) allow the IIoT network to collect, process, and share data of different parameters among Industrial IoT sense Node (IISN). ESP8266 are IISNs connected to the Internet by means of a hub to share their information. In this article, a light-diffusion algorithm in WSN to connect all the IISNs is designed, based on the Peano fractal and swarm intelligence, i.e., without using a hub, simply sharing parameters with two adjacent IINSs, assuming that any IISN knows the parameters of the rest of these devices, even if they are not adjacent. We simulated the performance of our algorithm and compared it with other state-of-the-art protocols, finding that our proposal generates a longer lifetime of the IIoT network when few IISNs were connected. Thus, there is a saving-energy of approximately 5% but with 64 nodes there is a saving of more than 20%, because the IIoT network can grow in a 3 n way and the proposed topology does not impact in a linear way but log 3 , which balances energy consumption throughout the IIoT network.

ACS Style

Jesus Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ixchel Lina Reyes; Ricardo Tejeida-Padilla; Liliana Chanona Hernández; Juan Pablo Francisco Posadas Durán. Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal. Sensors 2020, 20, 2855 .

AMA Style

Jesus Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ixchel Lina Reyes, Ricardo Tejeida-Padilla, Liliana Chanona Hernández, Juan Pablo Francisco Posadas Durán. Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal. Sensors. 2020; 20 (10):2855.

Chicago/Turabian Style

Jesus Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ixchel Lina Reyes; Ricardo Tejeida-Padilla; Liliana Chanona Hernández; Juan Pablo Francisco Posadas Durán. 2020. "Energy-Efficient Industrial Internet of Things Software-Defined Network by Means of the Peano Fractal." Sensors 20, no. 10: 2855.

Journal article
Published: 01 April 2020
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ACS Style

Ixchel Reyes Lina; Teresa Ivonne Contreras Troya; Oswaldo Morales Matamoros; Jes´ús Jaime Moreno Escobar; Ricardo Tejeida Padilla. Fractal Characterization of Stochastic Series Fluctuations of Children with Reading Disorders. 2020, 24, 159 -177.

AMA Style

Ixchel Reyes Lina, Teresa Ivonne Contreras Troya, Oswaldo Morales Matamoros, Jes´ús Jaime Moreno Escobar, Ricardo Tejeida Padilla. Fractal Characterization of Stochastic Series Fluctuations of Children with Reading Disorders. . 2020; 24 (2):159-177.

Chicago/Turabian Style

Ixchel Reyes Lina; Teresa Ivonne Contreras Troya; Oswaldo Morales Matamoros; Jes´ús Jaime Moreno Escobar; Ricardo Tejeida Padilla. 2020. "Fractal Characterization of Stochastic Series Fluctuations of Children with Reading Disorders." 24, no. 2: 159-177.

Review
Published: 30 December 2019 in Computación y Sistemas
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Mental illnesses are becoming an increasingly common phenomenon in the Mexican adult population, it is manifesting in early stages such as adolescence, at least 25% of the Mexican adult population covers the criteria of some disorder, affecting the biological, socialenvironment, environmental and psychological of those who suffer from it. The main objective of this analysis is to systematically assess the feasibility of creating biomarkers based on images from MRI by means of multivariate patterns to identify characteristics that can differentiate a person who has a mental illness with a regular control person.

ACS Style

Jesús Jaime Moreno Escobar; Margarita Pineda Arana; Claudia Lizbeth Martínez González. A Systematic Review of the Use of Neuroanatomical Patterns based on Magnetic Resonance. Computación y Sistemas 2019, 23, 1 .

AMA Style

Jesús Jaime Moreno Escobar, Margarita Pineda Arana, Claudia Lizbeth Martínez González. A Systematic Review of the Use of Neuroanatomical Patterns based on Magnetic Resonance. Computación y Sistemas. 2019; 23 (4):1.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Margarita Pineda Arana; Claudia Lizbeth Martínez González. 2019. "A Systematic Review of the Use of Neuroanatomical Patterns based on Magnetic Resonance." Computación y Sistemas 23, no. 4: 1.

Journal article
Published: 30 December 2019 in Computación y Sistemas
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The main objective of this work is to describe the state of the art of the Stereoscopic Image Quality Assessments (SIQA) from recent years, since it covers a compendium of models from 2007 to date. Furthermore, this paper summarizes 27 algorithms from 17 authors and their possible variations giving as a result of 280 stereoscopic metrics tested. This benchmarking is not only intended for researchers on the Image Quality Evaluation but also for researchers on the field on acquisition, processing and display of stereoscopic images. To this aim, we present not only a survey on image quality metrics but also psychophysical experiments on image databases available in this field. First, we sketch a general view of the importance of Stereoscopic Imaging. Thus, we propose different classifications in order to group the state of the art of SIQA. Then, we describe the performance of 280 metrics of SIQA using LIVE 3D Image Database. Results of algorithms are evaluated with the main purpose of being a reference for researchers in the Stereoscopic image quality field who want to perform further tests and proposing future models.

ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Hugo Quintana Espinosa. Experimental Assessment of Quality Metrics in Stereoscopic Imaging. Computación y Sistemas 2019, 23, 1 .

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, Hugo Quintana Espinosa. Experimental Assessment of Quality Metrics in Stereoscopic Imaging. Computación y Sistemas. 2019; 23 (4):1.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Hugo Quintana Espinosa. 2019. "Experimental Assessment of Quality Metrics in Stereoscopic Imaging." Computación y Sistemas 23, no. 4: 1.

Conference paper
Published: 24 August 2019 in Advances in Intelligent Systems and Computing
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This work models the dynamics of time series fluctuations of patients with learning disorders, specifically with reading-writing problems, applying fractal geometry, rough interface growth theory and Artificial Intelligence. From the EEG of children diagnosed with reading-writing problems, we obtain data of the brain activity of these children with which time series of fluctuations (standard deviations, \(\upsilon \left( t,\tau \right) \)) for each of the 19 channels distributed in different regions of the cerebral cortex. The self-affinity of the time series of fluctuations (treated as interfaces in motion) is characterized by the scaling behavior of the structure functions by one hand \(\sigma \propto \left( \delta _{t}\right) ^{\zeta }\), with \(\zeta \) as the local or roughness exponent and the other hand \(\sigma \propto \left( \tau \right) ^{\beta }\), with \(\beta \) as the fluctuation growth exponent. These findings guide us to propose the existence of a dynamic scaling behavior similar to that of Family-Vicsek for the kinetic roughening of a moving interface. In addition these findings are implemented in an Internet of Things (IoT) Network.

ACS Style

Oswaldo Morales Matamoros; Jesús Jaime Moreno Escobar; Ixchel Lina Reyes; Teresa Ivonne Contreras Troya; Ricardo Tejeida Padilla. Dynamic Scaling of EEG Fluctuations of Patients with Learning Disorders Based on Artificial Intelligence. Advances in Intelligent Systems and Computing 2019, 650 -670.

AMA Style

Oswaldo Morales Matamoros, Jesús Jaime Moreno Escobar, Ixchel Lina Reyes, Teresa Ivonne Contreras Troya, Ricardo Tejeida Padilla. Dynamic Scaling of EEG Fluctuations of Patients with Learning Disorders Based on Artificial Intelligence. Advances in Intelligent Systems and Computing. 2019; ():650-670.

Chicago/Turabian Style

Oswaldo Morales Matamoros; Jesús Jaime Moreno Escobar; Ixchel Lina Reyes; Teresa Ivonne Contreras Troya; Ricardo Tejeida Padilla. 2019. "Dynamic Scaling of EEG Fluctuations of Patients with Learning Disorders Based on Artificial Intelligence." Advances in Intelligent Systems and Computing , no. : 650-670.

Conference paper
Published: 01 June 2019 in 2019 IEEE Technology & Engineering Management Conference (TEMSCON)
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In particular, certain types of disabilities such as trisomy 21 or Down Syndrome have both physical and alternative therapies. Among the alternative therapies are dolphin-assisted ones, which is a technique that consists in the interaction of the human being with dolphins (usually of the bottlenose species), where a therapist also intervenes; through which we try to improve the quality of life of both children and adults who suffer serious health problems, especially chronic diseases and psychological. In the present study, the Electroencephalogram (EEG) signal recorded during a session of Dolphin Therapy in children with Down Syndrome is evaluated. From the EEG of children diagnosed were built time series fluctuations, specifically of standard deviation ν (t, τ). The self-affinity of the time series ν (t, τ) (treated as interfaces in motion) is characterized by the scaling behavior of the structure functions $\sigma \propto \left( {\delta _t^H} \right)$, with H as the roughness exponent. It was found that the behavior of children with trisomy 21 is similar to the modeled by the Family-Vicsek scaling dynamic for a kinetic roughening of moving interface. Therefore it would possible to characterize and model the studied time series ν (t, τ) by using the tools from the theory of kinetic roughening such as the Langeving type $\frac{{\partial V}}{{{\partial _\tau }}} = \Phi \left( {\frac{{\partial V}}{{{\partial _\tau }}}} \right) + \eta \left( {t,\tau } \right) + F$ where F is the external force, η (t, τ) the noise, and Φ is the real form of the function.

ACS Style

Jes´ús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Erika Yolanda Aguilar del Villar; Ricardo Tejeida Padilla; Victor Hugo Calderon Morfin. Fractal dynamics of time series fluctuations for estimating the efficiency of dolphin-assisted therapies on children with trisomy 21. 2019 IEEE Technology & Engineering Management Conference (TEMSCON) 2019, 1 -6.

AMA Style

Jes´ús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Erika Yolanda Aguilar del Villar, Ricardo Tejeida Padilla, Victor Hugo Calderon Morfin. Fractal dynamics of time series fluctuations for estimating the efficiency of dolphin-assisted therapies on children with trisomy 21. 2019 IEEE Technology & Engineering Management Conference (TEMSCON). 2019; ():1-6.

Chicago/Turabian Style

Jes´ús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Erika Yolanda Aguilar del Villar; Ricardo Tejeida Padilla; Victor Hugo Calderon Morfin. 2019. "Fractal dynamics of time series fluctuations for estimating the efficiency of dolphin-assisted therapies on children with trisomy 21." 2019 IEEE Technology & Engineering Management Conference (TEMSCON) , no. : 1-6.

Journal article
Published: 14 May 2019 in Journal of Intelligent & Fuzzy Systems
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ACS Style

Juan-Pablo Posadas-Durán; Helena Gómez-Adorno; Grigori Sidorov; Jesús Jaime Moreno Escobar. Detection of fake news in a new corpus for the Spanish language. Journal of Intelligent & Fuzzy Systems 2019, 36, 4869 -4876.

AMA Style

Juan-Pablo Posadas-Durán, Helena Gómez-Adorno, Grigori Sidorov, Jesús Jaime Moreno Escobar. Detection of fake news in a new corpus for the Spanish language. Journal of Intelligent & Fuzzy Systems. 2019; 36 (5):4869-4876.

Chicago/Turabian Style

Juan-Pablo Posadas-Durán; Helena Gómez-Adorno; Grigori Sidorov; Jesús Jaime Moreno Escobar. 2019. "Detection of fake news in a new corpus for the Spanish language." Journal of Intelligent & Fuzzy Systems 36, no. 5: 4869-4876.

Conference paper
Published: 24 April 2019 in Advances in Intelligent Systems and Computing
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The present work consists of a methodology for the Capture and Representation of three-dimensional holograms in high definition. This proposal makes use of computational tools, such as Computer Vision and Artificial Intelligence, this methodology is divided into five phases or steps. In the first step the problems of the different techniques of 3D visualization are presented and how this project solves them, as is the use of 3D devices. While phase two is intended to explain the background of holography and holograms, it also explains how, making use of stereoscopic vision, devices, methods and techniques have been created that allow the visualization of 3D objects. That is why in the next phase gives the theoretical basis of the elements used in the construction of this project. Also, we explain how human eye obtains natural images, color spaces and principles to extract a chromatically pure color (ChromaKey green) as a scene background. The mathematical methodology is proposed in the fourth phase where all techniques are considered that are used for the construction and design of a capture module, which is used to perform the coding of the final hologram. In addition, the considerations for the construction of a module for the representation of the hologram and to visualize it in a holographic pyramid are exposed. Finally, the main experiments are presented and explained, with the holographic pyramid at two different angles of inclination, also we perform a test of illumination of the capture module, in addition we calibrate the turntable and process of coding and holographic representation.

ACS Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Juan Pablo Francisco Posadas Durán. 3D-Holograms in Real Time for Representing Virtual Scenarios. Advances in Intelligent Systems and Computing 2019, 284 -302.

AMA Style

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, Ricardo Tejeida Padilla, Juan Pablo Francisco Posadas Durán. 3D-Holograms in Real Time for Representing Virtual Scenarios. Advances in Intelligent Systems and Computing. 2019; ():284-302.

Chicago/Turabian Style

Jesús Jaime Moreno Escobar; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla; Juan Pablo Francisco Posadas Durán. 2019. "3D-Holograms in Real Time for Representing Virtual Scenarios." Advances in Intelligent Systems and Computing , no. : 284-302.

Journal article
Published: 23 March 2019 in Sensors
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Wireless sensor networks (WSNs) consist of a large number of small devices or nodes, called micro controller units (MCUs) and located in homes and/or offices, to be operated through the internet from anywhere, making these devices smarter and more efficient. Quality of service routing is one of the critical challenges in WSNs, especially in surveillance systems. To improve the efficiency of the network, in this article we proposes a distributed learning fractal algorithm (DFLA) to design the control topology of a wireless sensor network (WSN), whose nodes are the MCUs distributed in a physical space and which are connected to share parameters of the sensors such as concentrations of C O 2 , humidity, temperature within the space or adjustment of the intensity of light inside and outside the home or office. For this, we start defining the production rules of the L-systems to generate the Hilbert fractal, since these rules facilitate the generation of this fractal, which is a fill-space curve. Then, we model the optimization of a centralized control topology of WSNs and proposed a DFLA to find the best two nodes where a device can find the highly reliable link between these nodes. Thus, we propose a software defined network (SDN) with strong mobility since it can be reconfigured depending on the amount of nodes, also we employ a target coverage because distributed learning fractal algorithm (DLFA) only consider reliable links among devices. Finally, through laboratory tests and computer simulations, we demonstrate the effectiveness of our approach by means of a fractal routing in WSNs, by using a large amount of WSNs devices (from 16 to 64 sensors) for real time monitoring of different parameters, in order to make efficient WSNs and its application in a forthcoming Smart City.

ACS Style

Jaime Moreno; Oswaldo Morales; Ricardo Tejeida; Juan Posadas; Hugo Quintana; Grigori Sidorov. Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System. Sensors 2019, 19, 1442 .

AMA Style

Jaime Moreno, Oswaldo Morales, Ricardo Tejeida, Juan Posadas, Hugo Quintana, Grigori Sidorov. Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System. Sensors. 2019; 19 (6):1442.

Chicago/Turabian Style

Jaime Moreno; Oswaldo Morales; Ricardo Tejeida; Juan Posadas; Hugo Quintana; Grigori Sidorov. 2019. "Distributed Learning Fractal Algorithm for Optimizing a Centralized Control Topology of Wireless Sensor Network Based on the Hilbert Curve L-System." Sensors 19, no. 6: 1442.