Analysis of the competitiveness of pipeline maintenance service providers in oil wells in the state of Tabasco

In the industrial sector, it is important that companies have a high profitability, with strategies for the provision of services or product development that meet or exceed the demands of the market, this is called competitiveness. Maintaining a holistic approach within organizations requires the analysis and measurement of context variables, as well as the implementation of a culture of quality and continuous improvement. In the oil industry, well pipeline maintenance services are activities of the utmost importance to keep the energy sector productive, therefore it is important that companies engaged in this area be competitive. This study analyzes the impact of context variables on the competitiveness of companies that provide maintenance services to oil well pipelines, seeking that in a comprehensive manner and on the basis of the results obtained, determine the relationship they have with respect to their competitiveness, to propose improvement strategies that lead companies to evolve towards states of improvement with levels of competitiveness that allow them to position themselves at world-class levels.

Automatic cephalometric landmark identification in lateral skull X-Rays using convolutional neural networks

Cephalometric analysis is a study held in orthodontics, based on the identification of certain points in a skull image obtained through an X-ray image or another method in medical imaging. The indicated points are compared with standard values to evaluate and diagnose the patient. The radiograph’s labeling is regularly performed by hand, which makes the labeling process slow and prone to errors due to the visual acuity required. This approach is not much reproducible, because it relies on the domain and expertise of the expert labeler. Many machine learning methods were successfully applied to solve medical imaging tasks, aiming to reduce the health experts’ workload and emit more accurate diagnoses in less time and, avoid a more several clinical case. This work shows the design and development process of a machine learning system based on convolutional neural networks to identify 19 cephalometric landmarks for a lateral skull radiograph image as input. The system used a 400 labeled images dataset, from which, 150 were used for training, 150 for model’s validation and it was tested in the 100 remaining images.

Wall thickness determination study for a plastic injection barrell due to the internal pressure

The use of Plastics is a very common activity nowadays, there are many different types of Injection Machines varying in size, the capacity of the material to inject, one of the main machines classifications is due to the injection pressure. One of the things to consider when the designing process is carried out is the factor of safety, this factor helps designers to avoid possible failures in mechanical elements of mechanisms, it provides a safety margin that aims to protect against any unexpected incident. The advantage of Simulation is that allows us to predict the behavior of elements under stress. In the Injection Process, barrels are elements subject to high pressure. This encourages analyzing wall thickness to find a suitable barrel wall thickness. The present study is focused on the design of the wall thickness, seeking reduce machining time that are required when producing the barrels that may be needed and to select the proper commercial barrel size reducing material waste.

Aplicación móvil para el seguimiento de solicitudes de acceso a la información

Currently, the use of mobile applications is of utmost importance, since it allows the availability of information at all times. The mobile application described in this article was made to follow up on the Requests for Access to Information and is part of a web system, with which an internal control of the Requests for Access to Information that are sent to the Dependencies, Entities, Auxiliary Bodies and Trusts of the State Public Administration. The application will attend to the requests and thus, the times of attention to them are met within the terms established by the Law of Transparency and Access to Public Information for the State of Oaxaca (LGTAIPO). The mobile application allows the monitoring of information requests received, shows the status in which they are through a colored traffic light, meetings can be scheduled, allows the registration of the user's profile, and, has an internal chat so that dependencies can communicate with each other and send notifications. The development methodology used for this project was Extreme Programming using the Dart programming language.

Metodología para el diseño de intercambiadores de calor tipo coraza y tubos

Heat exchangers have been the subject of study for over a century. Its classification has opened various branches of study. Among the equipment called recuperators are those of the casing and tube type. These equipments are used to carry out cooling and heating processes from water circuits. Although water is not the only substance of interest, a large number of research papers address hydrodynamic behavior coupled to heat exchange processes in elements of different sizes, with various flow arrangements and of various types, such that it is desired to characterize them depending on the thermal performance to mainly achieve some target temperature in the fluids involved, even when this involves dealing with large pressure drops. In this way, the generation of computational tools that help the understanding of functionality under certain operating conditions has been proposed, as well as the manufacturing with certainty and low cost. The verified and validated results of an application developed with accessible computing resources establish a contribution in this active field of engineering.

Desarrollo de un algoritmo de programación SIG para estimar la evapotranspiración en los cultivos mediante sensores remotos

A study was conducted to evaluate the feasibility of GIS programming as a potential tool in the automation of image processing obtained by the LANDSAT 8 satellite to estimate evapotranspiration (ET) in crops. The objective was to develop an algorithm in python language implementing the SEBAL model. 35 complex equations were developed, which were automated for the processing of 13 scenes, thus covering the entire vegetative cycle of corn cultivation on the "Rancho Las Mercedes" property. For the validation of the results, the data measured by the INIFAP weather station network was consulted on the dates corresponding to the images. The results obtained show an RMSE ranging from 0.001 for the month of June to 0.013 for the month of April. The instantaneous ET values are between the ranges of 0.01 mm / hr and 0.80 mm / hr. Maps of their spatial distribution were generated, where it can be seen that the lowest ET values, those close to zero, correspond to human settlements and bare soils, while the highest values correspond to sites of vigorous vegetation and bodies of water.

Determinación de profundidad óptima para intercambiadores de calor tierra-aire en Saltillo, Coahuila

Saltillo Coahuila, due to the lack of an adequate architectural design, some homes do not meet the thermal environment conditions required during the winter period, it is estimated that 471,725 habitants are affected by temperatures until - 3.4°C, which causes morbidity problems, so that the need for the use of electromechanical air conditioning systems with electrical energy consumption of high economic and environmental cost arises. The objective of the work was to study the feasibility of applying a geothermal heat exchanger for home heating. Periodic variation of soil temperature at different depths was studied to determine the optimum by experimentally validated equations. An ideal depth of 3 m was determined due to a variation of 25 y 30% and lower excavation cost compared to depths of 6, 9 and 12 m.

Modelo del transformador monofásico en el dominio de la frecuencia

This article presents a model in the frequency domain for the analysis of the transient induced overvoltage transfer to the secondary of a single-phase transformer, as well as the distribution of the transient voltage along both windings. The transformer is modeled as an element of distributed parameters from the telegraphist's equations in the frequency domain. The Laplace Numerical Transform (TNL) is used to obtain the solution in the time domain.

Sistema mecatrónico emulador de movimientos de la ATM

The Temporomandibular Joint (TMJ) of the human being has three basic functions: speaking, chewing and swallowing; and it is formed by bone, muscle and joint structures, it has three degrees of freedom, two are angular and another one linear, during the chewing process the three degrees of freedom that make it up come into function, of which, one of the problems to solve with this project is to create a mechatronic system that has the ability to reproduce the movements of the TMJ, this so that students of the Dentist Surgeon's career, have a didactic tool of an anatomical model in which they can study and observe their movements, this movements will be generated from mechanisms operated with servomotors, this will directly impact the chairs of Prosthodontics, Orthodontics and Periodontics. On the other hand, knowing in detail the anatomy and physiology of TMJ can help the study of treatments and prevention of diseases or dysfunction of the same.

Análisis térmico de una planta de potencia de ciclo combinado utilizando enfriamiento de aire a la entrada

In this article, a combined cycle power station (gas-steam) is analyzed, considering air cooling before entering the compressor. Currently what is sought are higher thermal efficiencies, which is why the combined cycle power plants have been chosen, since they make better use of the fuel, producing greater net power, all of which have led to innovative modifications in the combined cycle power plants, improving the performance of this. In this research work, a 243 MW combined cycle plant is taken as the base, whose air temperature when entering the compressor is 32 ° C. Knowing in advance that one of the factors that affects the operation of this plant is the condition of the air when entering the compressor, which when it cools will increase its density and with it its mass flow, obtaining an increase in the power of the gas turbine. In view of this, this work proposes that through the use of a mechanical refrigeration system, air cooling to 15 °C is carried out at the compressor inlet and with this achieve an increase in plant performance.