The objective of the paper is to provide a model capable of serving as a basis for retraining a convolutional neural network that can be used to detect COVID-19 cases through spectrograms of coughing, sneezing and other respiratory sounds from infected people. To address this challenge, the methodology was focused on Deep Learning technics worked with a dataset of sounds of sick and non-sick people, and using ImageNet's Xception architecture to train the model to be presented through Fine-Tuning. The results obtained were a precision of 0.75 to 0.80, this being drastically affected by the quality of the dataset at our availability, however, when getting relatively high results for the conditions of the data used, we can conclude that the model can present much better results if it is working with a dataset specifically of respiratory sounds of COVID-19 cases with high quality.
Information and communication technologies produce changes in society as they facilitate access to information. The research seeks to publicize the increase in the use of the Internet in Peruvian homes, covering the percentage of the population with access to the Internet, the frequency of use, and the activities carried out. Making use of the technical report "Statistics of Information and Communication Technologies in homes", and through a documentary review of various sources, including the one prepared by the National Institute of Statistics and Informatics (INEI), with emphasis on the use of the Internet since It is essential to have access to the Internet. A comparative analysis of the evolution of its use was also carried out, considering a range of 5 years, taking as reference the first quarter of 2015 and the first quarter of 2020. The applied research method is descriptive. As a result, it was found that compared to 2015, where for every 100 households, 91 had at least one ICT; In 2020, the number of families that have at least one ICT has increased to 95. The population has considerably increased the daily use of the Internet, obtaining a variation of 26.8.
This paper presents a technical proposal for the application of experimental designs in the construction processes of civil works, specifically in the manufacture of concrete for rigid pavements. Currently is still does not apply these technological advances, or any application of research methods that allows optimizing processes to more satisfactory levels, despite the advantages and benefits they provide in terms of achieving unexpected performance and significant savings of component materials. The experimental design model is a classic statistical model whose objective is to determine if the independent factors influence in a variable of interest in this case the modulus of breakage of the concrete or in another important factor, during the bending test. The answer surface methodology is based on the experimentation in three stages, the results achieved allow locating an optimal area where the adjusted values lead to reduced consumption of them and expanding the strength of the concrete.
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