A study was conducted about the lifespan of the street lamps in the northern area of Metropolitan Lima, in which we considered four types of bulbs: Sodium 70W, Sodium 150W, Sodium 250W and Mercury 125W; with a shorter observation time than the theoretical cycle of 16000 hours stated by the manufacturer. Through the exploratory analysis of the data for the lifespan., discordant values were detected for each type of lamp, and through the goodness-of-fit tests it was determined that the above information came from a population with Weibull distribution. Finally, lifespan charts were created for each type of lamp, and the percentage of failures was estimated for the public set lighting, using an approximation to the Binomial distribution.

En el presente artículo se desarrollan los procesos que generan las series de tiempo como sistemas lineales dinámicos invariantes, con una aplicación al modelamiento del desembarque de anchoveta en el litoral peruano como serie de entrada y la temperatura superficial del mar como serie de salida, para lo cual se hace uso de la función de transferencia. Además, se realiza la aplicación de la coherencia espectral para medir el grado de asociación entre las series del sistema.

This article presents the application of the non-parametric Random Forest method through supervised learning, as an extension of classification trees. The Random Forest algorithm arises as the grouping of several classification trees. Basically it randomly selects a number of variables with which each individual tree is constructed and predictions are made with these variables that will later be weighted through the calculation of the most voted class of these trees that were generated, to finally do the prediction by Random Forest. For the application, we worked with 3168 recorded voices, for which the results of an acoustic analysis are presented, registering variables such as frequency, spectrum, modulation, among others, seeking to obtain a pattern of identification and classification according to gender through a voice identifier. The data record used is in open access and can be do...

This article presents the application of the non-parametric Random Forest method through supervised learning, as an extension of classification trees. The Random Forest algorithm arises as the grouping of several classification trees. Basically it randomly selects a number of variables with which each individual tree is constructed and predictions are made with these variables that will later be weighted through the calculation of the most voted class of these trees that were generated, to finally do the prediction by Random Forest. For the application, we worked with 3168 recorded voices, for which the results of an acoustic analysis are presented, registering variables such as frequency, spectrum, modulation, among others, seeking to obtain a pattern of identification and classification according to gender through a voice identifier. The data record used is in open access and can be do...

En el presente artículo se desarrollan los procesos que generan las series de tiempo como sistemas lineales dinámicos invariantes, con una aplicación al modelamiento del desembarque de anchoveta en el litoral peruano como serie de entrada y la temperatura superficial del mar como serie de salida, para lo cual se hace uso de la función de transferencia. Además, se realiza la aplicación de la coherencia espectral para medir el grado de asociación entre las series del sistema.

A study was conducted about the lifespan of the street lamps in the northern area of Metropolitan Lima, in which we considered four types of bulbs: Sodium 70W, Sodium 150W, Sodium 250W and Mercury 125W; with a shorter observation time than the theoretical cycle of 16000 hours stated by the manufacturer. Through the exploratory analysis of the data for the lifespan., discordant values were detected for each type of lamp, and through the goodness-of-fit tests it was determined that the above information came from a population with Weibull distribution. Finally, lifespan charts were created for each type of lamp, and the percentage of failures was estimated for the public set lighting, using an approximation to the Binomial distribution.

A study was conducted about the lifespan of the street lamps in the northern area of Metropolitan Lima, in which we considered four types of bulbs: Sodium 70W, Sodium 150W, Sodium 250W and Mercury 125W; with a shorter observation time than the theoretical cycle of 16000 hours stated by the manufacturer. Through the exploratory analysis of the data for the lifespan., discordant values were detected for each type of lamp, and through the goodness-of-fit tests it was determined that the above information came from a population with Weibull distribution. Finally, lifespan charts were created for each type of lamp, and the percentage of failures was estimated for the public set lighting, using an approximation to the Binomial distribution.

En el presente artículo se desarrollan los procesos que generan las series de tiempo como sistemas lineales dinámicos invariantes, con una aplicación al modelamiento del desembarque de anchoveta en el litoral peruano como serie de entrada y la temperatura superficial del mar como serie de salida, para lo cual se hace uso de la función de transferencia. Además, se realiza la aplicación de la coherencia espectral para medir el grado de asociación entre las series del sistema.

This article presents the application of the non-parametric Random Forest method through supervised learning, as an extension of classification trees. The Random Forest algorithm arises as the grouping of several classification trees. Basically it randomly selects a number of variables with which each individual tree is constructed and predictions are made with these variables that will later be weighted through the calculation of the most voted class of these trees that were generated, to finally do the prediction by Random Forest. For the application, we worked with 3168 recorded voices, for which the results of an acoustic analysis are presented, registering variables such as frequency, spectrum, modulation, among others, seeking to obtain a pattern of identification and classification according to gender through a voice identifier. The data record used is in open access and can be do...

rguzman@ulima.edu.pe; rmedina@ulima.edu.pe

rguzman@ulima.edu.pe; ebarreno@ulima.edu.pe; rmedina@ulima.edu.pe

This article describes the analysis made about the level of carbon dioxide (CO2) emissions mainly generated by domestic electric energy consumption and wastes produced by households. A district zoning was also made through a cluster analysis according to various characteristics of interest. The results of the statistical processing, estimation, projections, data gathering, among others, were shown in an information system specially elaborated for that purpose and in this system thresholds were established as a reference for the generation of warning signals of CO2 high emission levels that were implemented in a digital tachometer inside the information pyramid proposed.

This article describes the analysis made about the level of carbon dioxide (CO2) emissions mainly generated by domestic electric energy consumption and wastes produced by households. A district zoning was also made through a cluster analysis according to various characteristics of interest. The results of the statistical processing, estimation, projections, data gathering, among others, were shown in an information system specially elaborated for that purpose and in this system thresholds were established as a reference for the generation of warning signals of CO2 high emission levels that were implemented in a digital tachometer inside the information pyramid proposed.    

This article describes the analysis made about the level of carbon dioxide (CO2) emissions mainly generated by domestic electric energy consumption and wastes produced by households. A district zoning was also made through a cluster analysis according to various characteristics of interest. The results of the statistical processing, estimation, projections, data gathering, among others, were shown in an information system specially elaborated for that purpose and in this system thresholds were established as a reference for the generation of warning signals of CO2 high emission levels that were implemented in a digital tachometer inside the information pyramid proposed.