Documentos de conferencia

URI permanente para esta colección

https://hdl.handle.net/10784/27881

Examinar

Mostrando 1 - 20 de 46

Combining fuzzy and PID control for an unmanned helicopter
(IEEE Communications Society, 2005-01-01) Sanchez, E.N.; Becerra, H.M.; Velez, C.M.; Sanchez, E.N.; Becerra, H.M.; Velez, C.M.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
This paper reports the synthesis of a controller for the X-Cell mini-helicopter. It is developed on basis of the most realistic mathematical model actually availble ([1]). A combined control structure is proposed: Mamdani controllers keep set points for an altitude/attitude controller. These controllers are designed in the simplest rule base. Altitude/attitude controller is constituted for conventional SISO PID controllers for z-position and roll, pitch and yaw angles. This control scheme mimics the action of an expert pilot. The proposed scheme is tested via simulations; it presents a good performance for hover flight, and control position in slow speed. © 2005 IEEE.
Modeling, simulation and rapid prototyping of an unmanned mini-helicopter
(2006-01-01) Vélez, C.M.; Agudelo, A.; Alvarez, J.; Vélez, C.M.; Agudelo, A.; Alvarez, J.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
This paper presents a rapid software prototyping environment (RSPE) for the design, simulation, and real-time implementation of a control system for an autonomous mini-helicopter. The software prototyping environment consists of diverse modules, including a mini-helicopter simulation model, a navigation filter, different controllers, a ground control station, and linearization and parameter identification tools. The environment is intended to reduce development time and costs, giving the designer more time to focus on mathematical and algorithmic methods. A hardware-in-the-loop (HIL) simulation example is presented to study the use and advantages of the prototyping environment in control design and simulation. Copyright © 2006 by EAFIT University.
Parameter estimation of a predator-prey model using a genetic algorithm
(2010-01-01) Restrepo, J.G.; Sánchez, C.M.V.; Restrepo, J.G.; Sánchez, C.M.V.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
This paper presents the parameter estimation of a biological system with real data extracted from literature, and different model structures: Lotka-Volterra model (basic predator-prey model) and saturation predator-prey model. A third model is proposed and tested in simulation due to lack of appropriated real data; it includes inputs that excite the system and makes the estimation process more manageable. The model parameters were estimated using a genetic algorithm, which gives a combination of parameters used in simulation to compare outputs with real data and decide, using a cost function, which parameters are better. Comparing the models, the Lotka-Volterra model provides better adjustment but with unrealistic assumptions, while saturation model represents a system with real assumptions but the fit is not very high. ©2010 IEEE.
Avionics system for a mini-helicopter robot in a rapid software prototyping environment
(2010-01-01) Vélez S., C.M.; Hernández L., M.; Agudelo T., A.; Vélez S., C.M.; Hernández L., M.; Agudelo T., A.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
This paper describes the hardware and software of the avionics for a mini-helicopter robot called Colibrí, which provides the instrumentation, intelligence, and energy to the autonomous navigation. The paper describes the function of each electronic device in the navigation system and explains the tools for rapid software prototyping. This programming environment uses a high-level graphical language like Simulink® to design a test model, and from it automatically build the executable code in C, which runs in the QNX real-time operating system during each flight. Matlab® Real-Time Workshop is the tool that enables this efficient programming methodology. The tests in pilot assisted flights show that the environment makes easy the development of state estimators, finite state machines, controllers and other subsystems. © 2010 IEEE.
Comparison on the estimation of the biomass of a batch bioreactor through fuzzy systems, neural networks and adaptive neuro-fuzzy inference system
(2011-01-01) Muñoz, A.A.G.; Quintero, O.L.; Muñoz, A.A.G.; Quintero, O.L.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
The estimation of biomass production of d-endotoxins of the Bacillus thuringiensis (Bt) is a major problem in biotechnological processes, as bio-insecticides, which has been addressed with different methodologies such as extended Kalman filters (EKF), phenomenological observers, among others. This paper presents a comparison in the estimation of biomass concentration of d - endotoxins of the Bacillus thuringiensis (Bt), using Mamdani fuzzy inference systems (FIS), neural networks (NN) and adaptive neuro-fuzzy inference system (ANFIS) trained with differents clustering algorithms; and comparing the associated outcomes among these. © 2011 IEEE.
Benchmarking methodology on lean manufacturing in the apparel industry
(Fraunhofer-Verlag, 2011-01-01) Juan Gregorio, A.P.; Victoria Eugenia, B.H.; María Jimena, R.M.; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y Logística
This project provides the methodology to apply a Benchmarking approach between different companies in the apparel sector, the aim of the project is to evaluate the implementation degree of Lean manufacturing in their productive processes, specifically companies that produce blue jeans, T-shirts and polo shirts. This industry sector is very developed in the city of Medellin and it is one of the most dynamic industries, hence the interest in evaluation. For the Benchmarking methodology development, a questionnaire is needed to be constructed and applied in different companies in the city, the most important result was that, the implementation of Lean manufacturing techniques are not widespread among the industry and only those with big experience as exporters or international brands licensees are more advanced in their application and development.
Spreadsheets to teach the (RP,Q) model in an inventory management course
(Production and Operations Management Society (POMS), 2013-05-03) Castro Zuluaga, Carlos A.; Universidad EAFIT. Departamento de Ingeniería de Producción; ccastro@eafit.edu.co; Gestión de Producción y Logística
The use of spreadsheets to support learning processes has become a common practice used by teachers in Operations Management courses -- This paper shows a predesigned spreadsheet used in an Inventory Management course to explain the model (RP,Q) using the decision rule based in the Units Service Level (USL)
Heuristic to allocate intermediate buffer storage capacities in a production line subject to machine breakdowns
(Production and Operations Management Society (POMS), 2013-05-03) Vélez Gallego, Mario César; Jaramillo Jiménez, Jhull Breynner; Universidad EAFIT. Departamento de Ingeniería de Producción; marvelez@eafit.edu.co; Gestión de Producción y Logística
In this research proposal we consider a production line subject to random failures at each workstation and operating under a make-to-stock policy -- Every time a workstation fails, a corrective maintenance activity is triggered to repair the workstation -- In order to palliate the effect of the random failures in the performance of the system, intermediate buffers are placed in-between workstations -- An inventory holding cost is associated to eachbuffer -- The research objective in this work is to allocate capacity to each intermediate buffer in the line so that the average cost per time unit is minimized while the average service level is kept above a minimum pre-specified value -- In this paper we assume that unsatisfied demand is lost and the service level is defined as the long term proportion of satisfied demand -- A greedy simulation–based heuristic is presented to find a feasible solution to the problem
Herramienta para enseñanza del modelo (s, Q) mediante simulación en un curso de gestión de inventarios
(Asociación Colombiana de Facultades de Ingeniería (ACOFI), 2013-09-24) Castro Urrego, Jaime A.; Castro-Zuluaga, Carlos A.; Universidad EAFIT. Departamento de Ingeniería de Producción; ccastro@eafit.edu.co; jcastrou@eafit.edu.co; Gestión de Producción y Logística
In recent years, inventory management has become a critical issue within companies because a suitable management of inventories can drive toward improve their competitive advantages -- This paper presents a simulation tool developed in VBA of Microsoft Excel ®, which has the main purpose to help students in their teaching and learning processes of the inventory management theory, in order to enhance the skills and abilities of them in the decision making process related with an effective management of stocks
Modelación de una situación empresarial para la enseñanza de simulación discreta
(Asociación Colombiana de Facultades de Ingeniería (ACOFI), 2013-09-24) Carmona González, Guillermo L.; Montoya Agudelo, Juan Sebastián; Cano Escobar, María Adelaida; Álvarez Zapata, Daniela; Rodríguez Betancur, María Antonia; Universidad EAFIT. Departamento de Ingeniería de Producción; mrodri23@eafit.edu.co; dalvar35@eafit.edu.co; mcanoes@eafit.edu.co; jmonto41@eafit.edu.co; gcarmona@eafit.edu.co; Gestión de Producción y Logística
Discrete simulation is one of the tools that are used for modeling real systems and for evaluating the impact of certain decisions using the resulting model, improving with this the decisions making on the real system -- Discrete simulation has been taught in the simulation course of the Operations Management and Logistics program at EAFIT University -- However this course only has academic exercises for the modeling processes -- This motivated to the realization of a project for documenting a business scenario on which students can build a simulation supported on a real situation -- This would allow students an approach to the modeling of real industry problems -- The productivity analysis of a production line of the Bakery Company Novapan in Medellin city was elected as the business scenario -- The simulation was made through the discreet simulation software Promodel ® -- This Paper presents the main aspects of the analyzed business scenario, the methodology, the discrete simulation model, some simulation results, the educational proposal and some learned lessons during the development of this research
Diseño de un juego serio como herramienta de apoyo para el curso de programación de operaciones
(Asociación Colombiana de Facultades de Ingeniería (ACOFI), 2013-09-24) Carmona González, Guillermo L.; Trefftz Gómez, Helmuth; Universidad EAFIT. Departamento de Ingeniería de Producción; gcarmona@eafit.edu.co; htrefftz@eafit.edu.co; Gestión de Producción y Logística
The difficulty in applying theoretical concepts in real scenarios, little experience, knowledge and deepening low motivation in students, are some of the problems can be observed in some higher education courses -- One cause of this problem is due, in large part, to the traditional teaching-learning process with a heavy emphasis of theory over practice -- On the other side, one can observe a population increasingly habituated to videogames who dedicate large amounts of time to this activity, and besides many do so with motivation -- Video games provide players with risk-free virtual worlds where their decisions have effects with immediate feedback -- This has generated a growing interest in the application of video games with learning objectives and has been called serious games -- The successful application of serious games has been reported in different fields of knowledge, but especially in military areas, social and health -- However, the best of our knowledge, operation scheduling issues no reports of serious games -- The above mentioned reasons explain our interest on the development, and impact evaluation of a video game used as academic tool to motivate the students for the study of operation scheduling while, at the same time, providing a tool in which they can implement theories covered in class -- This paper presents a description of the serious game in its alpha version, the main considerations taken when designing it, general aspects of the development tool and the methodology used for development -- It also presents the results of a pilot of this first version, seeking game improvement and evaluating the students' perceptions about the potential use of games as academic and motivational tools
Evaluation of wavelet measures on automatic detection of emotion in noisy and telephony speech signals
(IEEE, 2014-01-01) Vasquez-Correa, J. C.; Garcia, N.; Vargas-Bonilla, J. F.; Orozco-Arroyave, J. R.; Arias-Londono, J. D.; Lucia Quintero M, O.; Vasquez-Correa, J. C.; Garcia, N.; Vargas-Bonilla, J. F.; Orozco-Arroyave, J. R.; Arias-Londono, J. D.; Lucia Quintero M, O.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
Detection of emotion in humans from speech signals is a recent research field. One of the scenarios where this field has been applied is in situations where the human integrity and security are at risk. In this paper we are propossing a set of features based on the Teager energy operator, and several entropy measures obtained from the decomposition signals from discrete wavelet transform to characterize different types of negative emotions such as anger, anxiety, disgust, and desperation. The features are measured in three different conditions: (1) the original speech signals, (2) the signals that are contaminated with noise, or are affected by the presence of a phone channel, and (3) the signals that are obtained after processing using an algorithm for Speech Enhancement based on Karhunen-Love Transform. According to the results, when the speech enhancement is applied, the detection of emotion in speech is increased in up to 22% compared to results obtained when the speech signal is highly contaminated with noise. © 2014 IEEE.
Adaptive architecture to support context-aware Collaborative Networked Virtual Surgical Simulators (CNVSS)
(SPRINGER, 2014-01-01) Diaz, C.; Trefftz, H.; Quintero, L.; Acosta, D.; Srivastava, S.; Diaz, C.; Trefftz, H.; Quintero, L.; Acosta, D.; Srivastava, S.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
Stand-alone and networked surgical virtual reality based simulators have been proposed as means to train surgical skills with or without a supervisor nearby the student or trainee. However, surgical skills teaching in medicine schools and hospitals is changing, requiring the development of new tools to focus on: (i) importance of mentors role, (ii) teamwork skills and (iii) remote training support. For these reasons a surgical simulator should not only allow the training involving a student and an instructor that are located remotely, but also the collaborative training session involving a group of several students adopting different medical roles during the training session. Collaborative Networked Virtual Surgical Simulators (CNVSS) allow collaborative training of surgical procedures where remotely located users with different surgical roles can take part in a training session. Several works have addressed the issues related to the development of CNVSS using various strategies. To the best of our knowledge no one has focused on handling heterogeneity in collaborative surgical virtual environments. Handling heterogeneity in this type of collaborative sessions is important because not all remotely located users have homogeneous Internet connections, nor the same interaction devices and displays, nor the same computational resources, among other factors. Additionally, if heterogeneity is not handled properly, it will have an adverse impact on the performance of each user during the collaborative session. In this paper we describe the development of an adaptive architecture with the purpose of implementing a context-aware model for collaborative virtual surgical simulation in order to handle the heterogeneity involved in the collaboration session. © 2014 Springer International Publishing.
Combining LR and 2-opt for scheduling a single machine subject to job ready times and sequence dependent setup times
(Institute of Industrial Engineers, 2014-01-01) Rojas-Santiago, M.; Muthuswamy, S.; Vélez-Gallego, M.C.; Montoya-Torres, J.R.; Universidad EAFIT. Departamento de Ingeniería de Producción; Gestión de Producción y Logística
In this research, the job ready times and sequence-dependent setup times of a single machine scheduling problem are considered with the objective of makespan minimization. As the problem is NP-hard, a Lagrangean Relaxation (LR) approach is proposed to find an initial solution and a heuristic based on 2-opt was implemented to improve it. Extensive computational experiments showed that the proposed combination of LR and 2-opt is effective. Wide range of test problems from 25 to 75 jobs was studied. The performance of the proposed approach was compared with the results from a commercial solver.
An approach to make statistical forecasting of products with stationary/seasonal patterns
(Production and Operations Management Society (POMS), 2014-05-09) Castro-Zuluaga, Carlos A.; Botero-Escobar, Sara C.; Universidad EAFIT. Departamento de Ingeniería de Producción; ccastro@eafit.edu.co; sboter11@eafit.edu.co; Gestión de Producción y Logística
At any company there are hundreds, maybe thousands of products that must be forecasted with the best accuracy, in order to make a good demand management process, which are required at all planning levels in a company -- Statistical forecasting must be done fast and sometimes there are not enough resources to do it well -- In In this paper we make a proposal of an approach to define the parameter of the exponential smoothing model for products with a behavior pattern stationary or seasonal/stationary in the historical data, to obtain “good forecasting" A numerical example is used to show the effectiveness of the proposed method
Lean Health Care, a look through its tools, an approach from the literature
(Production and Operations Management Society (POMS), 2014-05-09) Arrieta-Posada, Juan Gregorio; Giraldo Betancur, Emerson Andrés; Universidad EAFIT. Departamento de Ingeniería de Producción; jarrieta@eafit.edu.co; egirald3@eafit.edu.co; Gestión de Producción y Logística
This paper presents generalities of Lean manufacturing and applications in Healthcare organizations -- A review of the literature was done, identifying applications of Lean tools in this sector -- A questionnaire is going to be developed to be applied in different healthcare institutions in Medellin Colombia, with the objective to make comparisons with the literature review
Measuring Quality Policy Deployment: A Fuzzy Logic Approach
(ATLANTIS PRESS, 2015-01-01) Cogollo-Florez, Juan; Cogollo-Florez, Myladis; Florez-Rendon, Andrea; Cogollo-Florez, Juan; Cogollo-Florez, Myladis; Florez-Rendon, Andrea; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
Global and balanced performance measurement in Quality Policy Deployment is a key element of quality management in public Higher Education Institutions (HEI's). This paper describes the design of a fuzzy linguistic model for measuring Quality Policy Deployment in a Colombian public HEI. The proposed model integrates Balanced Scorecard (BSC) principles with the theory of fuzzy sets for treatment of imprecision associated with quantifying of Quality Policy Deployment. The application of the model allowed to obtain a crisp Quality Policy Deployment Index incorporating imprecision and vagueness on these calculations through a fuzzy rule-based system.
Recognition and regionalization of emotions in the arousal-valence plane
(Institute of Electrical and Electronics Engineers Inc., 2015-01-01) Bustamante, P.A.; Lopez Celani, N.M.; Perez, M.E.; Quintero Montoya, O.L.; Bustamante, P.A.; Lopez Celani, N.M.; Perez, M.E.; Quintero Montoya, O.L.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
The emotion recognition systems have become important for the diversity of its applications. Several methodologies have been proposed based on how emotions are reflected in biological systems, such as facial expressions, the activity of the nervous system or the prosody of voice. The detection of emotions by voice processing is an approach that involves a noninvasive procedure that produces results with an acceptable rate of detection. In this work an algorithm for features extraction was developed, that efficiently classify different emotional states. Thus, emotions that have not been trained can be associated with a trained emotion both belonging to the same region of the valence-arousal plane.
Fuzzy Inference System for Modelling Failure Modes in a Ropeway for Massive Transportation
(ATLANTIS PRESS, 2015-01-01) Villa, Luisa F.; Quintero Montoya, O. L.; Castaneda, L.; Meja, G.; Villa, Luisa F.; Quintero Montoya, O. L.; Castaneda, L.; Meja, G.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
This work uses Fuzzy Inference Systems to model the failure modes of the Metrocable (ropeway massive transportation system in Medellin-Colombia) and to this aim, handle the concept of Condition Based Maintenance (CBM) for the automation of maintenance routine. Maintenance procedures in this massive transportation ropeway system have been designed from manufacturer and improved by expert knowledge trough years of operation, so they can be modeled by fuzzy models. The following work is part of the project ``Diagnostic system of the interface grip-cable of the Metrocable'', developed between the entities COLCIENCIAS, Metro de Medellin and Universidad EAFIT.
An approach to emotion recognition in single-channel EEG signals: A mother child interaction
(IOP PUBLISHING LTD, 2016-01-01) Gómez, A.; Quintero, L.; López, N.; Castro, J.; Gómez, A.; Quintero, L.; López, N.; Castro, J.; Universidad EAFIT. Departamento de Ciencias; Modelado Matemático
In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology. Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains. Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness.

Examinar

Examinando Documentos de conferencia por Fecha de publicación

Resultados por página

Opciones de ordenación