Now showing 1 - 10 of 161
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Optimum Balancing of the Four-Bar Linkage Using Fully Cartesian Coordinates

2019 , Acevedo, Mario , Orvañanos-Guerrero, María T. , Velázquez, Ramiro , Haro-Sandoval, Eduardo

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Wireless Sensor Network Energy Model and Its Use in the Optimization of Routing Protocols

2020 , Del-Valle-Soto, Carolina , Carlos Mex-Perera , Juan Arturo Nolazco-Flores , Velázquez, Ramiro , Rossa Sierra, Alberto

In this study, a Wireless Sensor Network (WSN) energy model is proposed by defining the energy consumption at each node. Such a model calculates the energy at each node by estimating the energy of the main functions developed at sensing and transmitting data when running the routing protocol. These functions are related to wireless communications and measured and compared to the most relevant impact on an energy standpoint and performance metrics. The energy model is validated using a Texas Instruments CC2530 system-on-chip (SoC), as a proof-of-concept. The proposed energy model is then used to calculate the energy consumption of a Multi-Parent Hierarchical (MPH) routing protocol and five widely known network sensors routing protocols: Ad-hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR), ZigBee Tree Routing (ZTR), Low Energy Adaptive Clustering Hierarchy (LEACH), and Power Efficient Gathering in Sensor Information Systems (PEGASIS). Experimental test-bed simulations were performed on a random layout topology with two collector nodes. Each node was running under different wireless technologies: Zigbee, Bluetooth Low Energy, and LoRa by WiFi. The objective of this work is to analyze the performance of the proposed energy model in routing protocols of diverse nature: reactive, proactive, hybrid and energy-aware. Experimental results show that the MPH routing protocol consumes 16%, 13%, and 5% less energy when compared to AODV, DSR, and ZTR, respectively; and it presents only 2% and 3% of greater energy consumption with respect to the energy-aware PEGASIS and LEACH protocols, respectively. The proposed model achieves a 97% accuracy compared to the actual performance of a network. Tests are performed to analyze the consumption of the main tasks of a node in a network.

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An Efficient Point-Matching Method Based on Multiple Geometrical Hypotheses

2021 , Miguel Carrasco , Domingo Mery , Andrés Concha , Velázquez, Ramiro , Roberto De Fazio , Paolo Visconti

Point matching in multiple images is an open problem in computer vision because of the numerous geometric transformations and photometric conditions that a pixel or point might exhibit in the set of images. Over the last two decades, different techniques have been proposed to address this problem. The most relevant are those that explore the analysis of invariant features. Nonetheless, their main limitation is that invariant analysis all alone cannot reduce false alarms. This paper introduces an efficient point-matching method for two and three views, based on the combined use of two techniques: (1) the correspondence analysis extracted from the similarity of invariant features and (2) the integration of multiple partial solutions obtained from 2D and 3D geometry. The main strength and novelty of this method is the determination of the point-to-point geometric correspondence through the intersection of multiple geometrical hypotheses weighted by the maximum likelihood estimation sample consensus (MLESAC) algorithm. The proposal not only extends the methods based on invariant descriptors but also generalizes the correspondence problem to a perspective projection model in multiple views. The developed method has been evaluated on three types of image sequences: outdoor, indoor, and industrial. Our developed strategy discards most of the wrong matches and achieves remarkable F-scores of 97%, 87%, and 97% for the outdoor, indoor, and industrial sequences, respectively.

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Enhancing Elderly Care through Low-Cost Wireless Sensor Networks and Artificial Intelligence: A Study on Vital Sign Monitoring and Sleep Improvement

2024 , Del-Valle-Soto, Carolina , Ramon A. Briseño , Velázquez, Ramiro , Gabriel Guerra-Rosales , Santiago Perez-Ochoa , Isaac H. Preciado-Bazavilvazo , Paolo Visconti , José Varela-Aldás

This research explores the application of wireless sensor networks for the non-invasive monitoring of sleep quality and vital signs in elderly individuals, addressing significant challenges faced by the aging population. The study implemented and evaluated WSNs in home environments, focusing on variables such as breathing frequency, deep sleep, snoring, heart rate, heart rate variability (HRV), oxygen saturation, Rapid Eye Movement (REM sleep), and temperature. The results demonstrated substantial improvements in key metrics: 68% in breathing frequency, 68% in deep sleep, 70% in snoring reduction, 91% in HRV, and 85% in REM sleep. Additionally, temperature control was identified as a critical factor, with higher temperatures negatively impacting sleep quality. By integrating AI with WSN data, this study provided personalized health recommendations, enhancing sleep quality and overall health. This approach also offered significant support to caregivers, reducing their burden. This research highlights the cost-effectiveness and scalability of WSN technology, suggesting its feasibility for widespread adoption. The findings represent a significant advancement in geriatric health monitoring, paving the way for more comprehensive and integrated care solutions.

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Self-powered WiFi-connected monitoring stations for environmental pollution app-based control in urban and industrial areas

2022 , Paolo Visconti , Roberto de Fazio , Velázquez, Ramiro , Bassam Al-Naami , Amir Aminzadeh Ghavifekr

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Predicting PV module characteristics with outdoor measurements: Modeling improvements

2011 , Lay-ekuakille, Aime' , Vergallo, Patrizia , Serrano, Flavio , Velázquez, Ramiro , Trotta, Amerigo

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THE TACTOBOOK: A PORTABLE ELECTRONIC TACTILE READING DEVICE FOR THE BLIND

2007 , Velázquez, Ramiro , Edwige E. Pissaloux

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Passive vibration control in civil structures: Experimental results

2017 , Enríquez-Zárate, J , García Sánchez, Juan Carlos , Velázquez, Ramiro

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On Image Matching and Feature Tracking for Embedded Systems: A State-of-the-Art

2013 , Edwige E. Pissaloux , Steve Maybank , Velázquez, Ramiro

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Multirate Adaptive Inverse Dynamics Control of 5 DOF Industrial Gryphon Robot

2021 , Amir Aminzadeh Ghavifekr , Velázquez, Ramiro , Ashkan Safari