This paper studies the problems of the traditional food industry in Peruvian social programs, and how the Blockchain would serve as a solution that includes the immutable registration of information allowing the tracking of food by each responsible party in the process. It was observed that millions of people become ill or die from eating infected, spoiled, or intoxicated food and that these problems are directly linked to the registration and communication areas of the participants in the supply chain. It was concluded that combining technologies such as the Internet of Things (IoT) and Blockchain is an extremely attractive option for the transparent tracking of food from its production to its sale and consumption; likewise, using smart contracts ensures compliance with all the conditions necessary for its consumption. Finally, it should be mentioned that, by being able to track in seco...

In the present investigation, we use the error histogram analysis as a computational tool to define whether the model resulting from a system identification process should continue to be fitted, and the Hampel filter for the elimination of outliers as a tool that also avoids on model over-parameterization. To do this, we use three data sets from a four-cylinder BMW diesel engine, to identify a linear model, and then, with that model, analyze the error and its histogram in a data set (without noise, with noise and with outliers). The analysis of the histogram of the error was found to be a useful tool for detecting white noise and helps to avoid overfitting, in addition to the fact that the Hampel filter allowed detecting and eliminating atypical samples. The software used was MATLAB. © 2020 IEEE.