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The Proceedings of the IEEE Chilecom2015 is presented. The Conference was very successful, held down in Santiago of Chile, from October 28 to 30. The papers came from 17 countries, most of them from Latin America. Accepted papers were 202 of 256 received. This Proceedings includes the Cover Page, Forewards, Table of Contents, Program Committee, the organizations, the Conference Activities and the...
Engineering Faculty of the Universidad Central de Chile considers it a privilege, a pride and a joy to be a host of this important Conference, which brings sciece and technology of interest to the Latin American community. Certainly, IEEE Chilecon2015 has been an excellent opportunity for researchers, academics and professionals from all areas of the work of the Electrical Engineering, Electronics,...
The IEEE Conference Chilecon2015 intends, to follow the guidelines of the IEEE, that is to say, disseminate and show at the national and Latin American community, recent research findings and developments in the areas of electrical engineering, electronics, information technology, biomedical engineering, industrial engineer. It also aims to encourage the advancement and exchange of knowledge and experience...
Users consumption of video grows everyday through many different plataforms. Beyond its role on traditional broadcasting, video transmission is becoming the highest load of Internet traffic both through wired and wireless networks. Video Quality Assessment (VQA) becomes crucial for regulators, broadcasters as well as network operators. The most accurate methods to measure Video Quality are the subjective...
In this article, the implementation of a machine vision algorithm into a mobile navigation robot for object recognition is presented. By using its color and machine vision algorithms, such as Canny and the Hough transform as a complement in order, improves the recognition of the selected object. These algorithms is implemented in a device with Android Operating System as an application (Apps).
Face Recognition is one of the most studied topics in computer vision. But before recognizing, it is necessary to detect a face. Many methods have been developed in order to perform this but the biggest problem they face is the time it takes to detect the object. This was greatly solved with the creation of the Haar Cascade Classifiers, which made possible the real time detection. However, depending...
In Digital Signal Processing, adaptive filtering is capable of dealing with random signal noise or time-varying signal. This paper presents an approach to create a NARX-based adaptive noise filter to remove atmospheric noise from astronomical signals. We use data obtained from the transit spectroscopy exo-planet observation, data was prepare using k-means clustering method of vector quantization,...
In this paper is proposed a method of multivariate pattern recognition applied in a industrial case of statistical process control with two quality characteristics. The essence of functioning of the method is the suitable determination of the values of the weights of the activation function (FA) of the artificial neural network (RNA) perceptron, so that without using the algorithms of this training...
Brassica napus L., is an oilseed species of great economic importance due to its high oil content in the seed, representing the second worldwide source of edible oil after soybean. To measure the seed oil content a destructive chemical analysis (Soxhlet) is typically used. In addition, Soxhlet is an expensive, time consuming and labor intensive methodology. In order to overcome these drawbacks the...
In this work it is described the progresses carried out in the implementation of a wireless sensor network for seismic monitoring with possibility of access to the Internet via modem GSM/GPRS. The network is designed to minimize implementation and localization costs in order to deploy a large number of sensors in mesh topology in areas covering the civil structure to be monitored.
In this work is presented the implementation of a mechatronic system for fault diagnosis under unbalance and misalignment using state observers, based on the mathematical model of a rotor bearing mass system (SRMC), known as Jeffcott rotor. The model signals are obtained by means of two inertial measurement units MPU6050 and for the data acquisition the development board STM32F407VG is used. The state...
This paper presents a model in distributed parameters for a drying plant of cocoa beans. The plant is composed of a combustion chamber, an air fan thrust and a drying chamber integrated by a rotating cylinder. The model was developed in the EcosimPro® platform, in wich the process of simulation, sensitivity analysis and estimation of parameters were implemented. For the optimization and validation...
This paper describes the design and implementation of a system responsible of the automotive monitoring and diagnosis of a vehicle using the standard OBDII (On Board Diagnostics), a mobile application on the Android Platform and the implementation of a Web server developed using PHP (Hypertext Preprocessor). For the development a mobile terminal Samsung Galaxy ACE, a vehicle Kia Rio R 2013 and an...
The industry control solutions are generally base on a Programmable Logic Controller (PLC), however implementations of Fuzzy Controllers for complex systems which control is based on a fuzzy system has been a disadvantage since not all PLC's have specific modules for this purpose. This work proposes a procedure for the implementation of Fuzzy Logic Controller (FLC) on a PLC without the use of any...
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