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Thermal performance of a low and medium temperature flat plate solar collector when controlling the output-input temperature difference and the tilt angle
(American Society of Mechanical Engineers (ASME), 2022)This work presents a sensitivity analysis of the overall heat loss coefficient UL and the thermal efficiency η in low and medium temperature encapsulated flat plate solar collectors when controlling the output-input ... -
Detailed assessment of modulation strategies for hexverter–based modular multilevel converters
(MDPI, 2022)Modular multilevel converters are playing a key role in the present and future development of topologies for medium–to–high–power applications. Among this category of power converters, there is a direct AC–AC modular ... -
Trade-off analysis of hardware architectures for channel-quality classification mdodels
(MDPI, 2022)The latest generation of communication networks, such as SDVN (Software-defined vehicular network) and VANETs (Vehicular ad-hoc networks), should evaluate their communication channels to adapt their behavior. The quality ... -
Direct output-voltage control of Non-Minimum phase higher-order DC-DC converters
(IEEE Transactions on Industrial Electronics, 2021)This paper addresses a fundamental issue in power converter control. Namely, the direct output-voltage control of power converters with higher-order dynamics. We argue that despite of the burst in the development of new ... -
Enhancement of grayscale image display with amplitude Fourier holograms, employing a limited bandwidth phase
(Optica Publishing Group, 2022)An alternative method is proposed to generate a modified random phase that is able to concentrate the light around a given direction, produces well-contrasted Fourier amplitude holograms, reduces the quantity and the ... -
Fuel-cell power conversion system based on double dual topologies
(Elsevier Ltd, 2022)This article describes (and demonstrates through experiments) the feasible implementation of a power conversion system designed for a Fuel Cell (FC) application in renewable energy generation. The system is designed to be ... -
A mixed integer formulation and an efficient metaheuristic for the unrelated parallel machine scheduling problem: total tardiness minimization
(Elsevier B.V., 2022)In this paper, the unrelated parallel machine scheduling problem with the objective of minimizing the total tardiness is addressed. For such a problem, a mixed-integer linear programming (MILP) formulation, that considers ... -
Neuromarketing in the digital age: the direct relation between facial expressions and website design
(MDPI, 2022)User experience (UX) is key in the immediate and future relationship between the client and business. Achieving a satisfying UX can only be achieved by understanding the wishes and user needs. The following study is carried ... -
Statistical study of user perception of smart homes during vital signal monitoring with an energy-saving algorithm
(NLM (Medline), 2022)Sensor networks are deployed in people's homes to make life easier and more comfortable and secure. They might represent an interesting approach for elderly care as well. This work highlights the benefits of a sensor network ... -
Affective states and virtual reality to improve gait rehabilitation: a preliminary study
(NLM (Medline), 2022)Over seven million people suffer from an impairment in Mexico; 64.1% are gait-related, and 36.2% are children aged 0 to 14 years. Furthermore, many suffer from neurological disorders, which limits their verbal skills to ... -
New wearable technologies and devices to efficiently scavenge energy from the human body: state of the art and future trends
(MDPI, 2022)Wearable technology represents a new technological paradigm for promoting physical activity, enabling monitoring of performances and athletic gestures. In addition, they can be employed for remote health monitoring ... -
Determination of mass properties in floor slabs from the dynamic response using artificial neural networks
(Salehan Institute of Higher Education, 2022)Most of the research on accidental eccentricity is directed at both the evaluation of accidental eccentricity design code recommendations and the study of building torsional response. In contrast, this paper addresses how ... -
Data-Driven Passivity-Based Control Design for Modular DC Microgrids
(IEEE, 2021-03)This paper contains a new passivity-based control design approach for DC microgrids. The design is purely based on experimental data---bypassing the requirement of the network modeling. This approach permits the control ... -
Analysis and correlation between a non-invasive sensor network system in the room and the improvement of sleep quality
(MDPI, 2022)Good sleep quality is essential in human life due to its impact on health. Currently, technology has focused on providing specific features for quality sleep monitoring in people. This work represents a contribution to ... -
Mechanical properties optimization for PLA, ABS and Nylon + CF manufactured by 3D FDM printing
(Elsevier Ltd, 2022)The mechanical characteristics and properties of 3D printed parts are highly influenced by the printing parameters, the printer characteristics, the raw material and the capabilities of the G-code generating software. This ... -
Maintenance 5.0: towards a worker-in-the-loop framework for resilient smart manufacturing
(MDPI, 2022)Due to the global uncertainty caused by social problems such as COVID-19 and the war in Ukraine, companies have opted for the use of emerging technologies, to produce more with fewer resources and thus maintain their ... -
A step-up converter with large voltage gain and low voltage rating on capacitors
(MDPI, 2022)Step-up converters are widely used in many applications, such as renewable energy generation with photovoltaic panels and fuel cell stacks. In many cases, the required voltage gain is larger for those applications than a ... -
Heart Failure Disease Prediction Using Machine Learning Models
(Springer link, 2022)Heart failure disease affects 26 million people worldwide and it has a lower survival rate than breast or prostate cancer. An early diagnostic of the disease is very important for prevention and possible treatment. In this ... -
Machine Learning Techniques in Credit Default Prediction
(Springer, 2022)Digital transformation after the pandemic is a must if a company wants to survive in a highly competitive environment. Machine Learning (ML) applications are no strangers to Digital Transformations, and banks are looking ... -
Credit risk models in the Mexican context using machine learning
(Springer Science and Business Media Deutschland GmbH, 2022)The Default Rate is related to the period of the economic cycle in which they are observed, during expansion periods of the economy the default rate tends to be lower. But in contraction periods, the default rate tends to ...
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