Procedure to Prepare and Model Speed Data Considering the Traffic Infrastructure, as Part of a Cyber-Physical System

This chapter investigates the relationship between traffic control infrastructure (traffic lights and speed bumps) and the vehicles’ travel speeds, for certain hours and days of the week. The authors propose the following procedures: (1) street segmentation, (2) clustering and categorization of speed data, (3) histograms’ comparison analysis, (4) outlier detection, (5) modeling, and (6) delivering info to the users. Comparing speed histograms, segments with matching infrastructure presented similarities, regardless of the day of the week. Two techniques to model data were employed: polynomial regression and multinomial logistic regression. The algorithms to predict the travel speed category were also developed. The first technique yields on average 91.3% of data categorized correctly, and the second gets 90.09%. The traffic lights and speed bumps, located on the street segments under consideration, were identified as variables causing different travel speeds. The procedure allows to incorporate more traffic elements and can also be applied to other geographical locations

The Helicobacter pylori Genome Project : insights into H. pylori population structure from analysis of a worldwide collection of complete genomes

Helicobacter pylori, a dominant member of the gastric microbiota, shares co-evolutionary history with humans. This has led to the development of genetically distinct H. pylori subpopulations associated with the geographic origin of the host and with differential gastric disease risk. Here, we provide insights into H. pylori population structure as a part of the Helicobacter pylori Genome Project (HpGP), a multi-disciplinary initiative aimed at elucidating H. pylori pathogenesis and identifying new therapeutic targets. We collected 1011 well-characterized clinical strains from 50 countries and generated high-quality genome sequences. We analysed core genome diversity and population structure of the HpGP dataset and 255 worldwide reference genomes to outline the ancestral contribution to Eurasian, African, and American populations. We found evidence of substantial contribution of population hpNorthAsia and subpopulation hspUral in Northern European H. pylori. The genomes of H. pylori isolated from northern and southern Indigenous Americans differed in that bacteria isolated in northern Indigenous communities were more similar to North Asian H. pylori while the southern had higher relatedness to hpEastAsia. Notably, we also found a highly clonal yet geographically dispersed North American subpopulation, which is negative for the cag pathogenicity island, and present in 7% of sequenced US genomes. We expect the HpGP dataset and the corresponding strains to become a major asset for H. pylori genomics

Trayectorias para robots móviles de navegación autónoma

Tesis (Doctorado en Tecnología Avanzada), Instituto Politécnico Nacional, CICATA, Unidad Legaria, 2009, 1 archivo PDF, (70 páginas). tesis.ipn.m

Modelo de radio frecuencia por identificación (RFID) de 64 bits tipo 1 adaptable a las necesidades de la cadena de suministros, cada una de etiquetas finitas

Tesis (Maestría en Tecnología Avanzada), Instituto Politécnico Nacional, CICATA, Unidad Legaria, 2006, 1 archivo PDF, (87 páginas). tesis.ipn.m

Evaluación del Curso de Especialidad a Distancia Inteligencia Artificial con Aplicaciones con un Enfoque Basado en Competencias

Este trabajo está enfocado en el desarrollo de una plataforma de educación a distancia para el estudio formal de las redes neuronales artificiales, con la cual, se pretende dar solución a problemas en ingeniería que van desde la salida de un laberinto de un robot hasta la aplicación de técnicas de control neuronal directo por modelo inverso para emular dispositivos de control semiactivo, en la actualidad existen aplicaciones donde destacan por ejemplo amortiguadores magnetoreológicos que son dispositivos no lineales y semiactivos, que se utilizan para el control de vibración de helicópteros y el control de vibración de puentes vehiculares y edificios por mencionar algunas, todo esto es impartido en un entorno de simulación bajo una plataforma basada en competencias sustentada en la creación de un ambiente de aprendizaje a distancia que utiliza el software de aplicación NNSYSID el cual es soportado por MATLAB

Casa para ti

Home4U es una aplicación pensada y diseñada para estudiantes foráneos y sus familias, busca brindarles un acompañamiento personalizado, crear conexiones entre arrendatarios y estudiantes, también lograr ayudar a encontrar personas afines para compartir sus nuevos hogares y con el ayuda de tecnologías avanzadas crear filtros, asegurándonos de brindarle la mayor seguridad a nuestros usuarios, sabemos lo difícil que es confiar, pero Home4U se va a encargar de construir esta confianza y cuidarla en el camino. Nosotros encontramos variables emocionales y funcionales, en las cuales las más importantes son la incertidumbre, el miedo y el temor. Con Home4U vamos a crear una nueva forma de que estas emociones desaparezcan, dejando de lado los procesos tediosos, las horas de búsqueda, los precios elevados y la falta de empatía. Pensamos en los usuarios y sus familias, para ayudarlos a encontrar ese segundo hogar y con quien compartirlo. Para poder llegar a quienes nos necesitan creamos diferentes estrategias de marketing digital, donde buscamos lanzarnos al mercado y generar confianza mediante la trasparencia y claridad hacia nuestros clientes.Home4U is an app thought and designed for foreign students and their families, it seeks to provide them with personalized support, create connections between tenants and students, also help find like-minded people to share their new homes, and with the help of advanced technologies create filters, ensuring of providing the highest security to our users, we know how difficult it is to trust, but Home4U is going to be in charge of building this trust and taking care of it along the way. We find emotional and functional variables, which the most important are uncertainty, fear, and fear. With Home4U we are going to create a new way for these emotions to disappear, leaving aside the tedious processes, the hours of search, the high prices and lack of empathy. We think of users and their families, to help them find that second home and with whom to share it. In order to reach those who need us we create different digital marketing strategies, where we seek to launch ourselves to the market and build trust through transparency and clarity to our customers

Spatial Organization of Five-Fold Morphology as a Source of Geometrical Constraint in Biology

A basic pattern in the body plan architecture of many animals, plants and some molecular and cellular systems is five-part units. This pattern has been understood as a result of genetic blueprints in development and as a widely conserved evolutionary character. Despite some efforts, a definitive explanation of the abundance of pentagonal symmetry at so many levels of complexity is still missing. Based on both, a computational platform and a statistical spatial organization argument, we show that five-fold morphology is substantially different from other abundant symmetries like three-fold, four-fold and six-fold symmetries in terms of spatial interacting elements. We develop a measuring system to determine levels of spatial organization in 2D polygons (homogeneous or heterogeneous partition of defined areas) based on principles of regularity in a morphospace. We found that spatial organization of five-fold symmetry is statistically higher than all other symmetries studied here (3 to 10-fold symmetries) in terms of spatial homogeneity. The significance of our findings is based on the statistical constancy of geometrical constraints derived from spatial organization of shapes, beyond the material or complexity level of the many different systems where pentagonal symmetry occurs

Performance Comparisons of Bio-Micro Genetic Algorithms on Robot Locomotion

This paper presents a comparison of four algorithms and identifies the better one in terms of convergence to the best performance for the locomotion of a quadruped robot designed. Three algorithms found in the literature review: a standard Genetic Algorithm (GA), a micro-Genetic Algorithm ( μ GA), and a micro-Artificial Immune System ( μ AIS); the fourth algorithm is a novel micro-segmented Genetic Algorithm ( μ sGA). This research shows how the computing time affects the performance in different algorithms of the gait on the robot physically; this contribution complements other studies that are limited to simulation. The μ sGA algorithm uses less computing time since the individual is segmented into specific bytes. In contrast, the use of a computer and the high demand in computational resources for the GA are avoided. The results show that the performance of μ sGA is better than the other three algorithms (GA, μ GA and μ AIS). The quadruped robot prototype guarantees the same conditions for each test. The structure of the platform was developed by 3D printing. This structure was used to accommodate the mechanisms, sensors and servomechanisms as actuators. It also has an internal battery and a multicore Embedded System (mES) to process and control the robot locomotion. The computing time was reduced using an mES architecture that enables parallel processing, meaning that the requirements for resources and memory were reduced. For example, in the experiment of a one-second gait cycle, GA uses 700% of computing time, μ GA (76%), μ AIS (32%) and μ sGA (13%). This research solves the problem of quadruped robot’s locomotion and gives a feasible solution (Central Pattern Generators, (CPGs)) with real performance parameters using a μ sGA bio-micro algorithm and a mES architecture

Robust Switched Tracking Control for Wheeled Mobile Robots Considering the Actuators and Drivers

By using the hierarchical controller approach, a new solution for the control problem related to trajectory tracking in a differential drive wheeled mobile robot (DDWMR) is presented in this paper. For this aim, the dynamics of the three subsystems composing a DDWMR, i.e., the mechanical structure (differential drive type), the actuators (DC motors), and the power stage (DC/DC Buck power converters), are taken into account. The proposed hierarchical switched controller has three levels: the high level corresponds to a kinematic control for the mechanical structure; the medium level includes two controls based on differential flatness for the actuators; and the low level is linked to two cascade switched controls based on sliding modes and PI control for the power stage. The hierarchical switched controller was experimentally implemented on a DDWMR prototype via MATLAB-Simulink along with a DS1104 board. With the intention of assessing the performance of the switched controller, experimental results associated with a hierarchical average controller recently reported in literature are also presented here. The experimental results show the robustness of both controllers when parametric uncertainties are applied. However, the performance achieved with the switched controller introduced in the present paper is better than, or at least similar to, performance achieved with the average controller reported in literature