Papers by christian Ovalle
International journal of engineering trends and technology, Mar 20, 2024
Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”
Many industrial sectors seek to improve their management by applying new methods, often implement... more Many industrial sectors seek to improve their management by applying new methods, often implementing innovative procedures since they are forced to adapt to 4.0 technology, of which financial institutions are not far from this reality. This article develops the union of two well-known methodologies, but together, that is, the Lean Management methodology and the Cloud Computing methodology. The union of these two methodologies, Lean Computing is born, which will help to know what its impact is with industry 4.0 to improve the management of internal attentions in terms of a financial institution. The methodology used for the development of this topic is of the applied type, it has a pre-experimental quantitative approach based on a study group, both pretest and posttest. Likewise, it has an application link since it requires a positive transformation of the problem. After the application of this methodology, it was obtained that productivity increased by 52%, the cost gained by 68%, while the invested cost decreased by 38% and the lost cost by 55%, all of these while the invested cost decreased by 38% and the lost cost by 55%, all of these comparing the results of the pretest and posttest taken in a period of time of 30 days. Whit theses results it can be seen that the implementation of this new methodology has positive impacts and is of great help to the entity under study.
Indonesian Journal of Electrical Engineering and Computer Science
The large consumption of electricity worldwide has an impact on the environment which can be said... more The large consumption of electricity worldwide has an impact on the environment which can be said to alter climate change, the degradation of the ozone layer and acid rain. A house has an average daily consumption of 270kWh, this is why solar panels are very useful and can help to have a renewable energy at low costs. To create an intelligent photovoltaic system, different electronic sensors can be applied to follow the sunlight through a series of instructions in some programming software. The article proposes to prototype an intelligent photovoltaic system, based on artificial intelligence with a neural network library "propet" having a positive impact on the optimization of power generation by allowing a more accurate tracking of the sun and a greater collection of photovoltaic energy throughout the day. performing an integration between Arduino and machine learning algorithms such as artificial neural networks in prediction of time series. Different practical experimen...
Procedia Computer Science, 2023
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”, 2022
The present research seeks to offer an extension of Michael Porter's traditional value chain, to ... more The present research seeks to offer an extension of Michael Porter's traditional value chain, to adapt it to the new era of social responsibility awareness in SMEs. Applied research with experimental design was conducted. The applied statistical analysis showed in the results of the variables that there is a strong relationship between value chains and social responsibilitycompetitiveness in 74.5%. Also, in the statistical results of indicators it was obtained that the indicator of digital social marketing reached 63% of the collections by number of observations made in the measurement in SMEs compared to the indicator of sales competitiveness that had a maximum range of 90% and sales growth reached only 1% of the collections by number. Therefore, this research affirms that there was a positive impact on sales due to the preference of customers and increased performance of workers, also producing a differentiation in the image of the company, being a determining factor of advantage.
Journal of physics, Aug 1, 2022
Procedia Computer Science, 2023
IOP conference series, Sep 1, 2022
Evaluating the costs of electricity generation is important to be able to estimate the variable c... more Evaluating the costs of electricity generation is important to be able to estimate the variable costs, characterized by the maintenance costs of the generation, transmission and distribution systems. In this work we evaluate the plants that use Camisea natural gas, which is an alternative to the plants that use fossil fuels, not only in terms of costs, but also in terms of the levels of contamination that they cause. The method presented can be taken as a reference for other evaluation mechanisms with similar characteristics.
Turkish Journal of Computer and Mathematics Education, Apr 16, 2021
The science courses are and will be the basis of the students' knowledge, in this sense the m... more The science courses are and will be the basis of the students' knowledge, in this sense the mathematics course is considered the most important course because in its content it presents topics related to calculus, making their learning of vital importance in the design of educational processes. Finance a review of the state of the art we find a series of works dedicated to being able to enhance the mechanisms used for teaching, from the use of scientific calculators to reaching certain computer programs of common use, in this work a methodology is developed to be able to enhance the programming skills that teachers have in a specific area of programming, where we can consider any programming language but also any computer tool such as Excel spreadsheets. The methodology proposes the organization of topics as specific theories, such as algebra, arithmetic, trigonometry, geometry, where specific functions are developed for each specific topic, with the intention that they can be understood more easily and in turn not complicated. to the teacher in his process of adaptation of the materials and in the development of the classes. The intention is to enhance the knowledge that teachers have instead of presenting a new programming language and that they can learn in order to teach. The results show that by using the knowledge they have regarding some computer tool, we managed to organize the study materials so that it is more understandable at the time of the classes. As a conclusion we can indicate that in these times of the COVID-19 product pandemic, the methodology that is presented becomes more important because the classes are online and can help the learning of mathematics with the help of these mechanisms to organize the study materials and improve the learning processes of the math course. © 2021 Karadeniz Technical University. All rights reserved.
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”, 2022
This research article seeks to offer a new methodology that integrates e-learning and g-learning ... more This research article seeks to offer a new methodology that integrates e-learning and g-learning in order to be applied during the process of education and training of personnel, and, consequently, to obtain greater results in the training of human talent in companies, resulting in the acquisition of skills and knowledge that contribute to their productivity. To present the proposal, the presentation of the components and stages for the implementation of the E-learning and G-learning integration methodology is developed graphically. To verify that the methodology is successful, applied research with a pure experimental design was carried out in a cosmetics distribution company. Based on this, a total of thirty training sessions were carried out with groups of six people, distributing them equally to make comparisons between the results of the training sessions depending on the application of the proposed methodology or the traditional methodology. Among the main findings were that the use of the e+g-learning methodology in the staff training process decreased the training time, increased the approval rate of workers, and increased the attendance rate
International Journal of Social Ecology and Sustainable Development, Dec 16, 2022
Health centers, in recent times, are being considered as important resources to take care of peop... more Health centers, in recent times, are being considered as important resources to take care of people's health, with greater importance with the arrival of the pandemic produced by COVID-19, where one of the main concerns was to be able to increase their medical equipment. These actions are very helpful, but in some cases, the requirement on the consumption of electrical energy is ignored, which can cause a decrease in voltage levels, which would cause a malfunction of the medical equipment and current surges, which would lead to much of the equipment connected to the electrical network being affected. The proposed methodology is based on being able to monitor and evaluate the consumption of electrical energy, organized under an IoT network configuration, to measure by areas and by critical services that may be affected, and to measure the current and voltage at each critical point. To test the methodology, current and voltage sensors will be used. As an IoT interface, the 16-bit PIC-IoT, a module, was made in LabVIEW to monitor and evaluate the measurements.
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”, 2022
In this scientific article, a proposed sales processmaturity model for beauty and personal care p... more In this scientific article, a proposed sales processmaturity model for beauty and personal care products companies, the some one that was used as an instrument to carry out pilot test, where indicators for measuring improvement were taken into consideration. In addition, the objective was to guarantee the realization of the process adapted to the new tendencies, specificallyto the CM M I methodology; all this allowed to obtain as a result an efficient a nd effective sales process model. Finally, it was possible to identify a significant difference in the amount of time of a sale before using the designed maturity model and the time of a sale after the implementation of the Framewo rk : which implies a decrease in the amount of time of a sale for the time of a sale post framework. The results produced were, that in the Pre-Test a value of 3 minutes was obtained, in the Post-Test it was 2 minutes, this shows a decrease in the average time of a sale after implementing the maturity model; also, the maximum average time of a sale in the Pre-Test was 10 minutes and in the Post-Test 7 minutes ha ving implemented the maturity model. Keywords-CMMI methodology, maturity model, sales process.
Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”, 2022
According to current evidence in university research, it was proposed to develop a type of virtua... more According to current evidence in university research, it was proposed to develop a type of virtual assistant tha t uses artificial intelligence to support university students in the development of thesis, determining the influence on scientific production as a support tool. A methodology study was carried o ut in which it is presented as applied research with an experimentalpre-experimental design at an explanatory level with a quantita tive approach. The applied statistical analysis showed that the results of the measurements carried out show that the degree of application is effective, thus indicating that the time dimension has 82.27% , quality 95.83% and knowledge 88.46%. being so that in the comparative results of measurements 1 and 2 of the time dimension they are close to 94% compared to the quality dimension that presents 97% and the third knowledge dimension a percentage result of 90%. Therefore, in the present investigation it was evidenced that the proposal of the generation of a tentative consistency matrix by a virtual assistant based on Artificial Intelligence allowed to clarify the viability of a thesis topic elaborated by university students.
Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”
This article presents the development of an artificial vision system for the recognition of postu... more This article presents the development of an artificial vision system for the recognition of postures focused on remote modality workers, being a suitable model to work with anyone, regardless of their age, race, sexual orientation or size as a target. of this work is to implement remote work to determine the challenges and possibilities of using this type of work and identify factors to consider before implementation. The work is justified because it is essential to determine if this modality is efficient to carry out the correct measurement of the worker's posture. Having as a result that the angle of 120 ° and 60 ° reveals possible causes of back pain and injuries caused by poor posture or incorrect postural hygiene; This means that when the user is sitting in the correct 90° degree posture, it avoids causing serious back injuries in the long term.
Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”
Cocoa is an essential product of Peruvian agriculture since a large number of families depend on ... more Cocoa is an essential product of Peruvian agriculture since a large number of families depend on it. The International Cocoa Organization has suggested carrying out strategies to avoid overproduction and minimize the price crisis. In the research work, the development of a prediction model for the production of Peruvian cocoa was carried out using the techniques of deep learning and lstm, since this will allow estimating production and avoiding the devaluation of the sale price. The PMBOK process guide was used, which has 5 phases, it will also allow control over the risks that may affect the project and greater efficiency in the quality of deliverables. The prediction model for cocoa production was made using a python programming language and the TensorFlow library, which makes it possible to implement models based on deep learning in an easier and faster way. It can be concluded that the prediction model helps to estimate the production of Peruvian cocoa using deep learning and lstm techniques with an accuracy percentage of 99.6%.
Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”
Artificial intelligence has become an increasingly present concept today and terms such as Machin... more Artificial intelligence has become an increasingly present concept today and terms such as Machine Learning or Deep Learning are increasingly used frequently in the development of technological projects and can have an impact on various social problems that, Unfortunately, they are lived day by day in many countries at the Latin American level, which is why the objective of this research was to develop an artificial vision model based on Deep Learning to prevent theft of real estate assets. Likewise, the research is of an applied type and of a quantitative approach, having a preexperimental cross-sectional design. Finally, after processing the data, it was obtained as results that the convolutional neural networks of Deep Learning are capable of distinguishing the curved lines of a face with very exact precision, only having a margin of error of less than 0.5% in the tests carried out. In addition, it is concluded that the proposed artificial vision model obtained a score in the range of 0.94 to 0.97 for both precision, accuracy, memory and F1, thus proving a positive measurement after applying confusion matrix metrics.
Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”
Proceedings of the 3rd International Symposium on Automation, Information and Computing
Proceedings of the 3rd International Symposium on Automation, Information and Computing
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Papers by christian Ovalle