Articles — Project / Lab Report

Este trabajo presenta la aplicación de un conjunto de articulos con propias teorías de los robots manipuladores y el modelamiento de pinzas. Para ello el brazo humano se modela como un robot manipulador redundante. En particular se aplica el concepto de índices de desempeño para predecir posturas óptimas del brazo durante la realización de tareas. En el estudio se incluyen tanto estructuras estáticas, como tambien los analisis de estabilidad del brazo y los materiales para su respectiva realizacion. This work presents the application of a set of articles with the own theories of the manipulative robots and the modeling of tweezers. For this, the bearing is modeled as a redundant manipulator robot. In particular, the concept of performance indices is applied to predict the optimal postures of the task during the performance of tasks. The study includes both static structures, as well as safety management analyzes and materials for their respective realization.

Machine learning project report. The project aimed at predicting air quality based on weather and its code is available at https://github.com/annisall/mlproject.

Este artigo tem como objetivo relatar e detalhar a construção de um conversor buck-boost. Cuja a função deste é converter uma tensão cc (corrente contínua) de entrada, em outra tensão cc em sua saída, de valor mais elevado ou inferior dependendo de sua configuração. Destaca-se aqui o uso de um semi condutor MOSFET que funciona como uma chave controladora. Na elabiração deste está destacada o funcionamento, principais características e toda a parte de simulação e comprovação prática deste conversor.

Engineering notebook, outlining the design process of an autonomous robot competing in the 2016 TYESA/ASEE robot parade competition.

La solucion a un problema dado consiste en encontrar un camino desde un nodo representando el estado inicial, hasta el estado final deseado.

This article proposes to obtain a statistical model of the daily peak electricity load of a household located in Austin-TX,USA. The Box-Jenkins methodology was followed to obtain the best fit for the time-series. Four models provided a good fit: ARIMA(0,1,2), ARIMA(1,1,2), SARIMA(0,1,2)(0,1,1) and SARIMA(1,1,2)(0,1,1). The model with the highest Akaike Information Criteria was the ARIMA(1,2,2). However, the model with the highest forecast accuracy was the SARIMA(1,1,2)(0,1,1), which obtained an RMSE of 0.296 and a MAPE Of 15.00.

Minería de datos con Weka para la predicción del precio de automóviles de segunda mano

The use of Customer Relationship Managers to foster customers’ loyalty has become one of the most common business strategies in the past years. However, CRM solutions do not fill the “abundance of happily ever-after relationships” that business needs, and each client's perception is different in the buying process. Therefore, the experience must be precise, in order to extend the loyalty period, of a customer as much as possible. One of the economic sectors in which CRM's have improved this experience is retailing, where the personalized attention to the customer is a key factor among others. However, brick and mortar experiences are not enough to be aware in how environmental changes could affect the industry trends in the long term. A base unified theoretical framework must be taken into consideration, in order to develop an adaptable model for constructing or implementing CRM’s into companies. Thanks to this approximation, the information is complemented and the final outcome will increment the quality in any Marketing/Sales initiative. The goal of this article is to explore the different factors grouped by three main domains within the impact of the service quality, from consumer’s perspective in both on-line and off-line retailing sector. Secondly, we plan to go a step forward and extract base guidelines about previous analysis for designing CRM’s solutions focused on the loyalty of the customers for an specific retailing sector and its product: Sports Running Shoes. Furthermore, we design and develop a structured survey and give it to a diverse group of users, with questions that evaluate the contrast an influence of service quality, customer satisfaction and customer loyalty in both on-line and off-line environments.

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