Enfoque UTE

14 - 28

Authors: Sheyling A. Segobia Muñoz

This research has focused on the use of malted and unmalted rye to brew a Belgian Pale Ale style craft beer. The objective is to innovate and explore the attributes provided by this cereal, in addition to evaluating the physicochemical(color, pH, acidity, alcohol content and turbidity), microbiological (molds and yeasts) and sensory (flavor, odor, color and texture) parameters. An experimental design with a bifactorial A*B arrangement was applied, with 3 replicates per treatment and 1 control, using the Dunnett test. Regarding the sensory test, the Kruskal Wallis test of contrasts was applied using SPSS Statistics software. Thus, it was found that the addition of malted and unmalted rye significantly influenced the characteristics evaluated in the craft beer, giving rise to a profile typical of a Belgian Pale Ale, with the distinctive touch provided by the rye. The most outstanding treatments in terms of flavor and texture were T5 (80% base malt + malted rye); in terms of odor, T1 (90% base malt + malted rye) stood out, and T4 (85% base malt + unmalted rye) stood out in terms of color.

45 - 57

Authors: Johanna Plaza, Cristina Sánchez-Zhunio, María-Inés Acosta-Urigüen, Marcos Orellana, Priscila Cedillo, Jorge Luis Zambrano-Martinez

The objective of the article was to generate an Automatic Speech Recognition (ASR) model based on the translation from human voice to text, being considered as one of the branches of artificial intelligence. Voice analysis allows identifying information about the acoustics, phonetics, syntax, semantics of words, among other elements where ambiguity in terms, pronunciation errors, similar syntax but different semantics can be identified, which represent characteristics of the language. The model focused on the acoustic analysis of words proposing the generation of a methodology for acoustic recognition from speech transcripts from audios containing human voice and the error rate per word was considered to identify the accuracy of the model. The audios were taken from the Integrated Security Service ECU 911 that represent emergency calls registered by the entity. The model was trained with the CMUSphinx tool for the Spanish language without internet connection. The results showed that the word error rate varies in relation to the number of audios; that is, the greater the number of audios, the smaller number of erroneous words and the greater the accuracy of the model. The investigation concluded by emphasizing the duration of each audio as a variable that affects the accuracy of the model.

68 - 82

Authors: Cristian García-Estrella, John C. Santa-Maria, Mirleth Reina Celis Hernandez

The objective of the research is to carry out a review of the literature to establish a theoretical reference framework for the implementation of open data in open government strategies in Peru. For the development of this article, a systematic review of the scientific literature was carried out, articles from the Scopus database between the years 2017 and 2021 were taken into account. As a result of this study, it was determined that there is one regional government and regional governments. That have implemented their open data portals, this represents 0.26 % of the level of compliance, in addition, the level of compliance with the transparency dimension of open government is 38.16 %. It is concluded that the Metropolitan Municipality of Lima complies with all the principles of open data and has a complete implementation in all categories, which can be accessed in different formats.