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A supervisory control and data acquisition (SCADA) system has been developed for three machines used for the thermal processing of materials: a hot wire cutter, an induction heater and a welding test stand. The cutter uses a transformer with adjustable voltage between 20 V and 32 V, and current of 8 A, measuring the temperature of the wire with thermal expansion. The heater uses a 24 V, 15 A source, and a type K thermocouple embedded in the sample in order to measure temperature. In welding, a temperature control system was implemented for the sample using type K thermocouple and a cooling fan using a 12 V and 20 A source. The SCADA system consists of a PLC and a PC with a graphical interface which serves to select the process to be worked on as it displays the thermal history of the monitored object. The supervisory system uses a PC with a 32-bit Windows 7 operating system and an OPC software package running on the academic LabVIEW platform. It was designed to use a single human-machine interface for different thermal processes. This paper describes the important components of the system, including its architecture, software development and performance testing.

A research is presented to classify the academic news according to 12 academic entities, which represent the programs of 4 faculties: Engineering, Arts and Humanities, Agricultural and Environmental Sciences, Administrative and Economic Sciences. And 12 academic/administrative entities. The purpose is that the news and documents published in the news archive are stored and classified according to the academic entity, which are evaluated by the peer reviewers of the Ministry of Education at the time of requesting relevant information and that has been socialized by each unit. A supervised classification is performed and the results show that the recognition of academic entities allows an adequate classification of all the news by department; however, the news of the academic/administrative processes are not completely classified because it does not identify the corresponding entity, but taking into account that the information requested is of the entities that are only academic, the objective set with the classification is achieved.

This research analyzes the inclusion of the Pseint programming language in educational institutions in South America, as a language for the beginning of programming logic through instructions in Spanish. The institutions with a registered profile that are listed in the Sourceforge platform are analyzed, from the 9 countries that speak the Spanish language, although the language is used by a large number of teachers, they are not taken into account unless they maintain this registered profile. It is shown that the countries with more institutions adopting the language are Colombia at 25.73%, Argentina at 18.93%, and Peru at 17.48%, and the proximity of each country is analyzed to know its influence.

An analysis of the needs in systems that allowed the creation of the research group in Science and Technology is presented, which seeks to promote interdisciplinary between different areas of science, providing the possibility of applying engineering processes to provide solutions to various problems in the academic, public and private sectors. Focusing from the point of view of a scientific-technical classification that encompasses and combines topics such as biology, energy, information technologies, and telecommunications, manufacturing technologies, social and human sciences, among others. The group is based on Systems Engineering, taking into account that it is not only one of the most exciting disciplines within engineering, but it is also essential in the design, development and implementation of countless processes necessary for the solution of different problems. That is why the group focuses on creating new solutions that improve performance, reduce time and deliver products of excellent quality at industrial level, while allowing a teaching-learning at the educational level of these techniques, allowing constant feedback with students of the Universidad Francisco de Paula Santander Ocaña. The group's products will position the University as one of the institutions most committed to the development of the region and the country in general, allowing its projects to be of national and international character.

The opinion of the members of the research seedbeds of a departmental node is very important, because it reflects the confidence about the events, training and planning of the node for their representations. Each departmental node is composed of different institutions at higher, middle and basic levels; and each institution has groups with research groups composed of students, which are led by a teacher. That is why this research analyzes the image that the Norte de Santander Node may have, analyzing the node's own messages as an institution and the opinions of its members as users. The results are totally positive on the part of the users, demonstrating the good functioning of the node with the educational institutions.

This research analyzes the relationship between the frequencies that a keyword appears in the publication, as a reference for the creation of the appropriate metadata of the article. The frequency is taken into account and the weight is analyzed according to the order in which the frequency is higher, as well as in the areas of Mechanical and Electrical Engineering, Business Administration and Accounting and Civil Engineering. The results show that according to the publication, the use of keywords may change, and may affect the search of the area according to its metadata and that the area may not relate the keywords with their frequency of repetition.

The rapid industrial growth has led to the need to create new construction materials from organic wastes and agroindustrial, by-products in order to reduce environmental impacts and raw materials, generating an ecological material. The objective of this article is to determine the physical-mechanical properties of concrete mixtures incorporating sugar cane molasses as an alternative material to retarding and plasticizing agents in dosages of 0% to 1%, in order to determine the optimum dosage of this material to be used as a retarding and plasticizing additive in concrete. The results of mixing the material indicated that at dosages of 0.4% and 1% molasses, results similar to those of a comercial, plasticizer are achieved, In addition, it was identified that the incorporation of molasses causes a substantial improvement in the strength of the concrete. From the results obtained, it is evident that the use of molasses as a plasticizing and retarding agent is a viable alternative considering the physical and mechanical properties of the material.

One of the learning strategies is active learning that requires students to be able to learn independently. For this to be realized, learning must be integrated with simulation software to enrich the teaching and learning processes. This influence is very important especially in the fields of Industrial process control and this is where the concept of Industry 4.0 appears. Consequently, the term Industry 4.0 implies changes in all areas of society. Education is an area affected in two ways, in terms of the need to update the educational curriculum to meet the demands of students, the market and society and, like any other area, to adapt the workforce and infrastructures to the new challenges. In this sense, this article presents the incorporation of Factory I/O software, Tia portal software and Pic SEVI software, to develop a problem given in the subject of Programmable Logic Controllers at UFPSO. With the active learning strategy based on problem solving supported by simulation software.

A new descriptor that allows to classify turned metallic parts based on their superficial roughness is proposed in this paper. The material used for the tests was AISI 6150 steel, regarded as one of the reference steels in the market. The proposed solution is based on a vision system that calculates the actual roughness by analysing texture on images of machined parts. A new developed R5SR5S kernel for quantifying roughness is based on the R5R5 mask presented by Laws. Results from computing standard deviation from images obtained with the proposed R5SR5S kernel allow us to classify the images with a hit rate of 95.87% using linear discriminant analysis and 97.30% using quadratic discriminant analysis. These results show that the proposed technique can be effectively used to evaluate roughness in machining processes.

Objetivos: Desarrollar un sensor de fibra óptica para la medición de CO2, medir las variaciones del índice de refracción de un medio rico en CO2 a través de cambios de presión y de temperatura controlados, y comparar el comportamiento del índice de refracción experimental con respecto al índice de refracción teórico calculado. Materiales y métodos: Se utilizó fibra microestructurada con núcleo hueco con recubrimiento sólido de sílice, con diámetros internos de 48 y 56 micrómetros, y se seleccionó dimetilformamida (DMF) como líquido conductor de luz, para la fabricación del sensor. El llenado de la fibra se hizo por presión; se realizaron los procesos de emenda por fusión, emenda por pegante de alta temperatura y emenda mecánica, para la conectorización de la fibra. Durante el proceso de variación de temperatura y presión de la cámara de CO2, el índice de refracción se midió mediante un refractómetro. Resultados: Se obtuvieron los perfiles de índice de refracción con respecto a la temperatura en los ciclos de enfriamiento y calentamiento, y los registros puntuales de los 5 puntos termodinámicos evaluados; se obtuvo el cálculo del índice para dichos cinco puntos y se calculó el porcentaje de error del índice experimental. El porcentaje de error está dentro del rango de 0,016% a 0,03%. Conclusiones: Fue posible medir la transmisión de luz blanca a través de un fluido en diferentes fases, y se registro un cambio significativo en el índice de refracción en cada cambio de fase mediante el sensor fabricado. Objectives: The present study focused on the development of a optic fiber sensor for carbon dioxide (CO2), the measuring of variations of the refractive index of a CO2 medium undergoing controlled changes of temperature and pressure, and comparing this experimental refractive index with a calculated theoretical refractive index. Materials and methods: For the making of the optical sensor, we used samples of 48 to 56 micrometers inner diameter micro-structured optic fiber with a solid silica covered hollow center; and we selected dimethilformamide as the light conductor fluid. The fiber was filled with pressure; the connectrorization of the fiber was made with the fussion, the high-temperature afhesive, and the mechanical processes. We use a refractometer for measuring the refractive index during the temperature and pressure change processes in the CO2 chamber. Results: Profiles of the refractive index vs. temperature in cooling and heating cycles were obtained, as well as the punctual measures of the refractive index in five fixed thermodynamic points tested; the calculation for the theoretical refractive index for these points was obtained, and was compared with the experimental ones. The percentage of error of the experimental refractive index was estimated between 0.016% and 0.03%. Conclusions: We achieved the measuring of transmission of white light through a fluid in different phases, and we registered significant changes in the refractive index in each phase change using the fabricated optic sensor.