Expert System Model for Educational Personnel Selection | Author : Héctor A. Tabares-Ospina, Duvan A. Monsalve-Llano, Daniel Diez-Gomez | Abstract | Full Text | Abstract :The staff selection is a difficult task due to the subjectivity that the evaluation means. This process can be complemented using a system to support decision. This paper presents the implementation of an expert system to systematize the selection process of professors. The management of software development is divided into 4 parts: requirements, design, implementation and commissioning. The proposed system models a specific knowledge through relationships between variables evidence and objective. |
| Global Control of the Furuta Pendulum Using Artificial Neural Networks and Feedback of State Variables | Author : Luisa F. Escobar-Dávila, Oscar D. Montoya-Giraldo, Didier Giraldo-Buitrago | Abstract | Full Text | Abstract :This paper presents the mathematical modeling of the Furuta Pendu-lum by power functions, taking into account the non linear own dynamics of the physical systems and considering the existing couplings between the electric and mechanic devices. A control process based on feedback of state variables (FSV) for the equilibrium point is developed and two topics for the non linear zone are addressed. First of all, functions are implemented to represent the energetic states of the plant in a global way and the operation regions are established (“Swing up” zone), and later Artificial Neural Networks (ANN) are employed to simulate the behavior of the energy functions. Finally, it is presented the combination between the control techniques, considering the own constrains of the actuators and sensors used, besides of this, a study is done in a simulated environment of the physical phenomena that may disturb system behavior, and the capacity, sensitivity and robustness of the controller is verified. |
| Functional Characterization of Bean Zaragoza Starch (Phaseolus Lunatus L.) and Quantification of the Resistant Starch | Author : Patricia P. Miranda-Villa, Yesid A. Marrugo-Ligardo, Piedad M. Montero-Castillo | Abstract | Full Text | Abstract :Legumes are a potential source of starch, representing between 30 and 50% of its dry weight, this is an essential energy source for humans. Currently its use is widespread in the food industry as an additive or raw material in food compounds, due to its nutritional, functional properties as a thickening agent and stabilizer of suspensions and dispersions. We evaluated several functional properties of starch variety zaragoza red bean, was obtained initial gelatinization temperature and final (71°C) (81°C) respectively, the solubility was 8.3% at 90°C, swelling power was 6.6% at 80°C, and water retention capacity was 4.4% at 80°C. The apparent viscosity was evaluated between 20 and 75 °C giving as results viscosities between 1.096 and 0.98 Cp respectively. The results showed that the tested temperatures significantly affect the solubility, swelling power, water holding capacity and viscosity of the starch. The amylose and amylopectin content was 21.1% and 78.19%. Finally, was obtained 9,24% resistant starch and compared with other conventional non starchy sources in order to acquire new knowledge about this material native to the Colombian Caribbean coast. |
| Edge Detection Algorithm Based on Fuzzy Logic Theory for a Local Vision System of Robocup Humanoid League | Author : Andrea K. Pérez-Hernández, Andrés Gómez-García, Eyberth R. Rojas-Martínez, Carlos S. Rodríguez-Rojas, Jorge López-Jiménez, Juan M. Calderón-Chavez | Abstract | Full Text | Abstract :At this paper we shown the development of an algorithm to perform edges extraction based on fuzzy logic theory. This method allows recognizing landmarks on the game field for Humanoid League of RoboCup. The proposed algorithm describes the creation of a fuzzy inference system that permit evaluate the existent relationship between image pixels, finding variations on grey levels of related neighbor pixels. Subsequently, it shows an implementation of OTSU method to binarize an image that was obtained from fuzzy process and so generate an image containing only extracted edges, validating the algorithm with Humanoid League images. Later, we analyze obtained results that evidence a good performance of algorithm, considering that this proposal only takes an extra 35% processing time that will be required by traditional methods, whereas extracted edges are 52% less noise susceptible. |
| Rapid Control Prototyping Plataform for Didactic Plant Motor DC | Author : Cristian Bazán-Orobio, Juan F. Flórez-Marulanda | Abstract | Full Text | Abstract :In this paper a design, implementation and validation of a Rapid Control Prototype platform for a plant based on a DC motor is proposed. This low-cost prototype provides of an electronic card (with a motor DC and sensors) manipulated by PC with free software tools using Linux, Scilab / Scicos and RTAI-Lab. This RCP System allows developing speed -position control trainings by using different types of PID industrial controllers with anti – wind up and bump less transfer schemes. We develop a speed control application structured in four steps: identification, controller design, simulation and real time control, where there are pedagogical advantages of a platform that not only allows simulation but also real-time control of a plant. |
| Sound Event Detection for Music Signals Using Gaussian Processes | Author : Pablo A. Alvarado-Durán, Mauricio A. Álvarez-López, Álvaro A. Orozco-Gutiérrez | Abstract | Full Text | Abstract :In this paper we present a new methodology for detecting sound events in music signals using Gaussian Processes. Our method firstly takes a time-frequency representation, i.e. the spectrogram, of the input audio signal. Secondly the spectrogram dimension is reduced translating the linear Hertz frequency scale into the logarithmic Mel frequency scale using a triangular filter bank. Finally every short-time spectrum, i.e. every Mel spectrogram column, is classified as “Event” or “Not Event” by a Gaussian Processes Classifier. We compare our method with other event detection techniques widely used. To do so, we use MATLAB® to program each technique and test them using two datasets of music with different levels of complexity. Results show that the new methodology outperforms the standard approaches, getting an improvement by about 1.66 % on the dataset one and 0.45 % on the dataset two in terms of F-measure. |
| Energy Efficiency Standards of Induction Motors, ¿Are you Prepared Latin America? | Author : Carlos M. Londoño-Parra, José L. Ramírez-Echavarría | Abstract | Full Text | Abstract :In Colombia the regulatory process regarding the energy efficiency of end-use products is emerging with the draft technical regulation product labeling RETIQ, which includes in Annex E, the test methods for determining the efficiency of motors alternating current induction. The goal of this paper is to compare the energy efficiency of induction motors between the countries of Latin America and the countries of the major economies of the globe, considering four aspects: the current state of classification standards and test procedures of induction motors efficiency, multilateral agreements of mutual recognition, the infrastructure to conduct tests of the standard and support programs to improve the efficiency of electric motor-driven systems. The study reveals that Latin America is a considerable delay in the implementation of classification standards and methods for testing the efficiency of electric motors, most widely used in the world: IEC 60034-30:2008, IEC 60034-2-1: 2007 IEEE 112:2004 and EPAct'92, with respect to the countries of the European Union, United States, China, Australia, and other developed countries, in which these standards have been adopted. Furthermore, the region is evident in the absence of programs focused on improving the energy efficiency of electric motors and a limited number of accredited laboratories to evaluate their efficiency, which leads to most Latin American countries to establish agreements mutual recognition for this purpose. |
| Voids by Mechanical Entrapment in Liquid Molding Processes: Mechanism of Formation, Influence in the Mechanical Response and Reduction | Author : Juan D. Vanegas-Jaramillo, Iván D. Patiño-Arcila, Carlos A. Vargas-Isaza | Abstract | Full Text | Abstract :The voids by mechanical entrapment become as one of the most common type of defects in the liquid molding processing of composites. Because of the strong influence of those kind of voids in the general performance of the manufactured part, an important amount of researches have focused on the study of the mechanisms of formation of those voids, of the influence of the those ones on the mechanical properties of the composite and of the strategies for their reduction during the process. The present paper aims to do a review of some relevant investigations that have been done in the topic of voids caused by mechanical entrapment of air in the processing of composites by LCM (Liquid composites molding) with the purpose of generate a reference material addressed to researchers that are interested in this important subject matter related to the areas of processing and mechanical behavior of composites materials. They will be addressed some topics like: the mechanism of void formation by imbalance among macroflow and microflow and its relationship with the modified capillary number and the sink effect; the phenomena of compressibility, dissolution and mobilization of bubbles in dual-scale preforms; the influence of voids on the mechanical properties of the composites and on the damage mechanisms; and the most common strategies that can be implemented in the industry for the reduction of this sort of defects. |
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