José J. Rangel-Magdaleno

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• Ph. D.
• Researcher at National Institute of Astrophysics, Optics and Electronics

Nowadays, induction motors are an essential part of industrial development. Faults due to short-circuit turns within induction motors are “incipient faults”. This type of failure affects engine operation through undesirable vibrations. Such vibrations negatively affect the operation of the system or the products with which said motor is in contact....

Pseudorandom number generators (PRNGs) are fundamental components in cryptographic algorithms. The new concept of multi-PRNG introduced in this article consists of a unique generator capable of producing multiple streams of pseudorandom numbers. Multiscroll chaotic systems are known for generating multiple scrolls within a single attractor. With th...

This research presents the design and implementation of an Internet of Things (IoT)-based solution to measure the percentage of Liquefied Petroleum Gas (LPG) inside domestic stationary tanks. The IoT-based sensor, in addition to displaying the percentage of the LPG level in the tank to the user through a mobile application (app), has the advantage...

This paper introduces a method for quickly estimating sinusoidal signal amplitude using only two sampled points and generating an orthogonal component. It permits estimation at various sampling frequencies, with the estimation speed correlating directly with the sampling frequency. However, adding filters to the input signals decreases the estimati...

We are pleased to announce the launch of the Special Issue "Implementations and Applications of Algorithms Based on Fractional Calculus to Engineering Problems". You can submit your research to the open-access journal "Fractal and Fractional". Deadline for manuscript submissions: 31 July 2025 Please select the link below for more information. Th...

This research centers on the application of the discrete-time Taylor-Fourier transform algorithmic implementation for phasor estimation on a field-programmable gate array board. The system employs a finite impulse response structure of a digital Taylor-Fourier filter to extract amplitude and phase information. The hardware description utilizes a mu...

This manuscript introduces a piecewise linear decomposition method devoted to a class of fractional-order dynamical systems composed of piecewise linear (PWL) functions. Inspired by the Adomian decomposition method, the proposed technique computes an approximated solution of fractional-order PWL systems using only linear operators and specific cons...

Induction motors are one of the most used machines because they provide the necessary traction force for many industrial applications. Their easy operation, installation, maintenance, and reliability make them preferred over other electrical motors. Mechanical and electrical failures, as with other machines, can appear at any stage of their service...

The recent advancements in edge computing power are primarily attributable to technological innovations enabling accelerators with extensive hardware parallelism. One practical application is in computer imaging (CI), where GPU acceleration is pivotal, especially in reconstructing 2D images through techniques like Single-Pixel Imaging (SPI). In SPI...

This paper presents a finite-control-set model predictive control (FCS-MPC) with fractional-order proportional-integral (FO-PI) controller to regulate the dc-link voltage of a single–phase cascaded H–bridge (CHB) 5-level inverter working as a shunt active power filter (APF). By using the FCS-MPC scheme in a single–phase CHB multilevel inverter as a...

Nowadays, technological advancements have pushed the growth of cyber-physical ecosystems through wearable and smart devices in the interoperability of the Internet of Things (IoT), cloud computing, and information technology. All these IoT devices are designed to launch multiple services or applications that require identity management systems, i.e...

Emerging vision technology, particularly Single-Pixel Imaging (SPI) cameras, has garnered significant attention in recent years. This work provides an overview of the advancements and applications of this innovative imaging technique. SPI utilizes improved reconstruction algorithms, enabling the reconstruction of images from compressed measurements...

In the signal analysis context, the entropy concept can characterize signal properties for detecting anomalies or non-representative behaviors in fiscal systems. In motor fault detection theory, entropy can measure disorder or uncertainty, aiding in detecting and classifying faults or abnormal operation conditions. This is especially relevant in in...

The extraction of 3D human pose and body shape details from a single monocular image is a significant challenge in computer vision. Traditional methods use RGB images, but these are constrained by varying lighting and occlusions. However, cutting-edge developments in imaging technologies have introduced new techniques such as single-pixel imaging (...

This paper introduces a robust multiplatform artificial intelligence (AI) system designed for real-time emotion classification in service robotics. The primary focus of this study is the development and implementation of an initial phase AI model within a diverse hardware ecosystem, enabling a Service Robot to interact dynamically with users in rea...

This paper proposes a feature-based methodology for early bearing fault detection and classification in induction motors through current signals using the digital Taylor-Fourier transform (DTFT) and statistical methods. The DTFT allows the application of narrow bandwidth digital filters located in the spurious current signal components, wherewith i...

This work presents a hardware-based digital emulator capable of digitally driving a permanent magnet synchronous machine electronic setup. The aim of this work is to present a high-performance, cost-effective, and portable complementary solution when new paradigms of electronic drive design are generated, such as machine early failure detection, fa...

The present work describes the training and subsequent implementation on an FPGA board of an LSTM neural network for the modeling and prediction of the exceedances of criteria pollutants such as nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM10 and PM2.5). Understanding the behavior of pollutants and assessing air quality i...

Three-dimensional (3D) human pose estimation is a fundamental task in computer vision and has important applications in fields such as gaming, sports analysis, and surveillance. Due to their high mobility and ability to capture images from different angles, the use of drones has rapidly increased in various applications in recent years. However, 3...

In challenging scenarios characterized by low-photon conditions or the presence of scattering effects caused by rain, fog, or smoke, conventional silicon-based cameras face limitations in capturing visible images. This often leads to reduced visibility and image contrast. However, using near-infrared (NIR) light within the range of 850–1550 nm offe...

Induction motors are widely used worldwide for domestic and industrial applications. Fault detection and classification techniques based on signal analysis have increased in popularity due to the growing use of induction motors in new technologies such as electric vehicles, automatic control, maintenance systems, and the inclusion of renewable ener...

Gait recognition is an important biometric measure that has been applied in many applications , including medical, social, and security issues [1]. Specifically, it is a useful approach in contactless identification. Under low illumination conditions, the image capture can be limited in some commercial cameras. In these cases, the use of infrared c...

Different space-filling curves (SFCs) are briefly reviewed in this paper, and a new one is proposed. A century has passed between the inception of this kind of curve, and, since then, they have been found useful in computer science, particularly in data storage and indexing due to their clustering properties, being Hilbert curve the most well-known...

An essential part of cloud computing, IoT, and in general the broad field of digital systems, is constituted by the mechanisms which provide access to a number of services or applications. Biometric techniques aim to manage the access to such systems based on personal data; however, some biometric traits are openly exposed in the daily life, and in...

A cataract is a medical condition causing an opacity in the ocular nucleus due to various factors such as age and diseases. Starting from traditional image processing techniques for processing and extracting relevant features, using computational intelligence methods is essential to help experts in the medical pre-diagnosis for automatic classifica...

Broken rotor bars in induction motors make up one of the typical fault types that are challenging to detect. This type of damage can provoke adverse effects on the motors, such as mechanical and electrical stresses, together with an increase in electricity consumption, causing higher operative costs and losses related to the maintenance times or ev...

The capacity to capture images using RGB silicon-based sensors in the visible (VIS) can be limited in outdoor environmental conditions. Due to illumination variations of the scene or scattering effects caused by the interaction of light with micrometer-size particles in the rain, fog, or smoke, limiting the depth of visibility and the level of cont...

This work presents an analysis of predictive control strategies for a permanent magnet synchronous machine and designed initially at the nominal operating regimen. The motivation of this work is based on applications where high-speed requirement and limited supply voltage are needed such as powered by battery-pack. Three control strategies are anal...

In recent years, it had been an evolution in the sensors used by vision systems. Different technologies from RGB cameras, IR cameras, LIDAR, RADAR, or sensor combinations can work in different spectrum bands. A new alternative to the vision system is the single-pixel camera (SPC), an architecture based on the compressive sensing theory for 2D recon...

The hallmark of fractional-order derivatives is a memory kernel to describe real-world phenomena with a better approximation than classical calculus. In fractional-order chaotic systems, the memory kernel improves their complexity, ergodicity, and hidden dynamical behaviors, which become an excellent option to boost applications in data encryption,...

In this work we report the development of different parts of an infrared camera, which includes the fabrication of a microbolometer array based on polymorphous silicon-germanium thermosensing films (pm-SiGe:H) with large values of the Thermal coefficient of resistance (TCR), as large as −6.6 %/K. The array is composed of 4800 pixels, distributed as...

The captured images in scattering scenarios are a challenge to solve for the vision systems for Unmanned Flight Vehicles (UFVs). Currently, research has been conducted on the use of sensors in the near-infrared (NIR) part of the spectra as an option for the RGB camera in scenarios with higher scattering (fog or rain), because to the diameter of wat...

The captured images in scattering scenarios are a challenge to solve for the vision systems for Unmanned Flight Vehicles (UFVs). Currently, research has been conducted on the use of sensors in the near-infrared (NIR) part of the spectra as an option for the RGB camera in scenarios with higher scattering (fog or rain), because to the diameter of wat...

Fractional-order chaotic systems are a hot topic of research due to their applicability in all related fields of science and engineering. For instance, they have been pointed out as a potential solution for security in smart cities and Internet of Things networks through data encryption using random number generators. However, for security applicat...

Different space-filling curves (SFCs) are briefly reviewed in this paper, and a new one is proposed. A century has passed between the inception of this kind of curves, since then they have been found useful in computer science, particularly in data storage and indexing due to their clustering properties, being Hilbert curve the most well-known memb...

In the last decade, the vision systems have improved their capabilities to capture 3D images in bad weather scenarios. Currently, there exist several techniques for image acquisition in foggy or rainy scenarios that use infrared (IR) sensors. Due to the reduced light scattering at the IR spectra it is possible to discriminate the objects in a scene...

e detection of faults related to the optimal condition of induction motors is an important task to avoid the malfunction or loss of the motor, thus avoiding high repair or replacement costs and faults in the efficiency of the process to which they belong. ese faults are not limited to a single area; mechanical and electrical problems can cause a fa...

The optimization of fractional-order (FO) chaotic systems is challenging when simulating a considerable number of cases for long times, where the primary problem is verifying if the given parameter values will generate chaotic behavior. In this manner, we introduce a methodology for detecting chaotic behavior in FO systems through the analysis of P...

Today the industry depends on various types of three-phase induction machines, requiring operating at variable speeds to perform more complex processes. Therefore, it is vital to monitor their operation conditions to maintain the optimal efficiency of the processes they perform and avoid significant economic losses. The proposed work presents the d...

The noise is the most common issue present in all signals. Depending on the process or application, the reduction of the noise is mandatory mainly in areas as signals classification, pattern recognition, and training process among others. In recent years, diverse methodologies for noise reduction have been proposed, but they have left some issues w...

Walsh Hadamard Transform (WHT) is an orthogonal, symmetric, involutional, and linear operation used in data encryption, data compression, and quantum computing. The WHT belongs to a generalized class of Fourier transforms, which allows that many algorithms developed for the fast Fourier transform (FFT) work for fast WHT implementations (FWHT). This...

Sudden Cardiac Death (SCD) is an unexpected sudden death due to a loss of heart function and represents more than 50% of the deaths from cardiovascular diseases. Since cardiovascular problems change the features in the electrical signal of the heart, if significant changes are found with respect to a reference signal (healthy), then it is possible...

In this paper, we propose a method for single-pixel 2D/3D imaging to be applied in hyperspectral camerasoperating in outdoor applications in unmanned aerial vehicles (UAVs). In rain rich environments, if camerasystems operating in the visible range are used, alongside the atmospheric absorption that inevitably takesplace, additional interactions oc...

We present a method to improve the quality of 2D/3D single-pixel reconstructed images using active illumination in the near-infrared (NIR) part of the spectra for outdoor applications in presence or rain. The proposed solution is based on an array of NIR LEDs emitting active illumination patterns in the wavelength 1550 nm to be detected by an InGaA...

In this article, we propose a method to be used for the reconstruction of single-pixel near-infrared (SPI-NIR) low-resolution 2D images using active illumination with a peak wavelength on 1550 nm, that is based on Batch Orthogonal Matching (Batch-OMP) processing algorithms and a region definition in the projection sequence of Hadamard illumination...

One of the most recent applications of compressive sensing is single-pixel cameras, where an image is generated by a reduced set of measurements. This new type of camera has already been implemented in many ways but always relying on a powerful CPU or GPU to run the reconstruction algorithms, limiting the portability and increasing the power consum...

Chaotic systems based on artificial neurons present high randomness levels that are desired for applications like data encryption. In this paper, the chaotic systems based on the Hopfield, Cellular, Aihara, and the Rulkov neural models are synchronized and implemented on Raspberry Pi, which allows connectivity to a Machine to Machine (M2M) broker t...

Different imaging solutions have been proposed over the last few decades, aimed at three-dimensional (3D) space reconstruction and obstacle detection, either based on stereo-vision principles using active pixel sensors operating in the visible part of the spectra or based on active Near Infra-Red (NIR) illumination applying the time-of-flight princ...

Early detection of fault events through electromechanical systems operation is one of the most attractive and critical data challenges in modern industry. Although these electromechanical systems tend to experiment with typical faults, a common event is that unexpected and unknown faults can be presented during operation. However, current models fo...

The early fault detection in the rotary electrical machines, such as Induction motors (IMs), has been growing in modern industry. IMs have been widely used in industrial applications due to its easy installation, reliability and low cost. However, the increasing usage of induction motors also increases the need for timely maintenance in order to en...

In recent years, 3D reconstruction has become a challenging task for navigation systems. Therefore, different technologies such as RGB cameras, LIDARs, or RADAR can capture information from the environment and perform 3D reconstruction. In an environment of high dispersion and low illumination, it is necessary to have a robust solution that operate...

Today, instrumentation plays an essential role within Industry 4.0, integrating elements and technologies at the forefront of the industrial world such as the Internet of Things (IoT), Cloud Computing, Business Intelligence, or Cybersecurity, among others. Thinking about the Industrial Internet of Things (IIoT), it is looking for the highest number...

The visualization and localization of blood vessels is an important task to determine the presence and the health status of microvasculature in the biological tissue. Laser Speckle Contrast Imaging is one of the most widely employed techniques to study blood vessels; even so, it has some drawbacks in analyzing deep blood vessels (>100μm) since the...

This work establishes a review of visualization methods for contrast calculation and improvement in Laser Speckle Contrast Imaging (LSCI). Also, it is presented the localization of blood vessels automatically through k-means clustering. The results suggest that the localization of blood vessels depends largely on the calculation and improvement of...

Induction machines are widely used in several industries around the world; their robust design allows them to operate even under non-optimal conditions; the non-optimal operation can reduce the machine lifetime depending on the anomaly magnitude; this leads to a loss of process efficiency, which eventually generates a considerable operational costs...

This article presents the design, development and implementation of a remote immobilization system for cargo trailers, using Global Positioning System (GPS) technology and a Global Mobile Communications System (GSM) to prevent and track their theft. The immobilization system works minutes after the possible infraction has been committed, this in or...

In this paper, a theoretical analysis of a vision system for 2D/3D single-pixel imaging using principles of compressed sensing and Indirect-Time-of-flight measurements is presented. The goal is to use this system for autonomous drone navigation in environments with adverse conditions where typical sensors used by RGB or RGB-Depth cameras typically...

One of the most powerful tools in image processing solving complex problems is computational intelligence. There are several image classification methods but is uncertain which methods are most helpful for analyzing and classify images like ophthalmic. Particularly in the area of cataract, as a leading cause of blindness around the globe, only a fe...

The visualization and localization of blood vessels in Laser Speckle Contrast Imaging is an important task to determine the presence of blood vessels in the biological tissue. However, Laser Speckle Contrast Imaging has some drawbacks when the depth of the blood vessels increases. This work establishes a methodology based on a wavelet approach to i...

This work reports the development of arrays of infrared sensors (microbolometers) using a hydrogenated polymorphous silicon–germanium alloy (pm-SixGe1-x:H). Basically, polymorphous semiconductors consist of an amorphous semiconductor matrix with embedded nanocrystals of about 2–3 nm. The pm-SixGe1-x:H alloy studied has a high temperature coefficien...

We present a case study for a time-of-flight 3D imaging system using single-pixel imaging (SPI) accompanied by the Time-of-flight (ToF) principle for drone applications involving autonomous navigation. In present, an alternative work present a solution to conventional RGB or RGB-depth sensors , limited when working under poor visibility conditions,...

The visualization and localization of blood vessels in Laser Speckle Contrast Imaging is an important task to determine the presence of blood vessels in the biological tissue. However, Laser Speckle Contrast Imaging has some drawbacks when the depth of the blood vessels increases. This work establishes a methodology based on a wavelet approach to i...

During the last decades the radio detecting and ranging (RADAR) technology underwent an evolution transiting from the linear-frequency-modulated (LFM) systems developed in the 1970s, up to the orthogonal frequency-division multiplexing (OFDM) systems developed in the early 2000s. In mid 2010s, systems were proposed that combined the radar principle...

The compressive sensing (CS) technique is a novel tool used to reconstruct images using fewer samples, normally sparse in the transform domain, than those required by conventional imaging systems. However, the methods applied for signal reconstruction within the CS approach still present some problems in the implementation, mainly due to their inte...

We present a case study for a time-of-flight (ToF) 3D imaging system using single-pixel imaging (SPI) approach based on compressive sensing (CS), accompanied by the Time-of-flight (ToF) principle applied to four reference points of the 2D image created and then mapped to the rest of the SPI generated virtual pixels. In this analysis we have develop...

According to the World Health Organization (WHO), Diabetes Mellitus (DM) is one of the most prevalent diseases in the world. It is also associated with a high mortality index. Diabetic foot is one of its main complications, and it comprises the development of plantar ulcers that could result in an amputation. Several works report that thermography...

Abstract: Silicon Photomultipliers (SiPM) are currently an excellent option to replace the traditional photomultiplier tubes (PMT) due to the fact that they require much lower operational voltages than the PMTs with photon detection efficiencies (PDE) higher than 40% at peak wavelengths (in the blue-green visible part of the spectra), do not requir...

Lyapunov exponents are related to the exponentially fast divergence or convergence of nearby orbits in phase space, and they can be used to evaluate the Kaplan–Yorke dimension. In this manner, since the existence of a positive Lyapunov exponent (LE+) is taken as an indication that chaotic behavior exists, and due to the huge search spaces of the de...

The advances in infrared thermography during recent years have opened new possibilities for its use in medical diagnosis. The detection of complications related to diabetic foot is one of the many uses of this technology. This paper presents a new public plantar thermogram database composed of 334 plantar thermograms from 122 diabetic subjects and...

First performance evaluation of MexSiC - a readout ASIC for analog SiPM based Cherenkov Detectors