Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00023
I. Ibarra, Jocelyne Rodriguez, E. Pichardo, J. Avalos, G. Avalos
Affine Projection (AP) algorithms offer a relatively good convergence speed which can be increased by augmenting the projection order (L), however, in addition to presenting a high computational complexity, their steady-state misadjustment worsens in direct ratio to the rise of L. Convex combinations of AP algorithms have been devised in an attempt to address the misadjustment issue, albeit at the cost of doubling the aforementioned computational complexity. This work introduces the convex combination of an AP algorithm with an Error Coded Least Mean Square (ECLMS) algorithm, in order to reduce the twofold increase in computational complexity of dual AP combinations while retaining the high convergence speed and improving the steady-state misadjustment level. The proposed algorithm was tested in a system identification application, results demonstrate that the proposal performs as good or better than dual AP solutions, while considerably reducing computational complexity.
{"title":"Convex Combination of Affine Projection and Error Coded Least Mean Square Algorithms","authors":"I. Ibarra, Jocelyne Rodriguez, E. Pichardo, J. Avalos, G. Avalos","doi":"10.1109/ICMEAE.2018.00023","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00023","url":null,"abstract":"Affine Projection (AP) algorithms offer a relatively good convergence speed which can be increased by augmenting the projection order (L), however, in addition to presenting a high computational complexity, their steady-state misadjustment worsens in direct ratio to the rise of L. Convex combinations of AP algorithms have been devised in an attempt to address the misadjustment issue, albeit at the cost of doubling the aforementioned computational complexity. This work introduces the convex combination of an AP algorithm with an Error Coded Least Mean Square (ECLMS) algorithm, in order to reduce the twofold increase in computational complexity of dual AP combinations while retaining the high convergence speed and improving the steady-state misadjustment level. The proposed algorithm was tested in a system identification application, results demonstrate that the proposal performs as good or better than dual AP solutions, while considerably reducing computational complexity.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00009
Amit Kumar, Yuma Sandoval Ibarra, J. N. Núñez Pérez, Esteban Tlelo Cuautle
This paper aims for the secure transmission of RGB image using the Chen system simulated in Matlab-Simulink. The Chen system is implemented with master slave topology. The master end behaves as the chaotic system, whereas the slave system behaves as the stabilized Chen system implemented using the parameter switching methodology. The chaos is added to the image at the transmitter end, i.e. at the master end the chaotic image is transmitted through the system. At the receiver end, i.e. the slave end, which is a stabilized Chen system implemented using the parameter switching method, the chaos is removed from the received image, and hence retrieving the original information. The system helps in encryption of information before transmission, so as to secure the date from stealing of theft, the retrieving the original information back. Finally, the correlation factor value is compared between the original and the received image after removing the chaos, with the different set of parameters used.
{"title":"Chaotic Chen System for RGB Image Transmission by Parameter Switching","authors":"Amit Kumar, Yuma Sandoval Ibarra, J. N. Núñez Pérez, Esteban Tlelo Cuautle","doi":"10.1109/ICMEAE.2018.00009","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00009","url":null,"abstract":"This paper aims for the secure transmission of RGB image using the Chen system simulated in Matlab-Simulink. The Chen system is implemented with master slave topology. The master end behaves as the chaotic system, whereas the slave system behaves as the stabilized Chen system implemented using the parameter switching methodology. The chaos is added to the image at the transmitter end, i.e. at the master end the chaotic image is transmitted through the system. At the receiver end, i.e. the slave end, which is a stabilized Chen system implemented using the parameter switching method, the chaos is removed from the received image, and hence retrieving the original information. The system helps in encryption of information before transmission, so as to secure the date from stealing of theft, the retrieving the original information back. Finally, the correlation factor value is compared between the original and the received image after removing the chaos, with the different set of parameters used.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00020
J. Sánchez V, Sergio Padilla Olvera, A. Caballero
Up to last century, measures for land were made point by point with geodesic instruments, reaching accuracies better than one centimetre; at nineties, coordinate measuring machines reach accuracies better than one micrometer, but constrained to touch one point at once. In this century new instrumentation has arrived, which is able to catch thousands to millions of 3D points. The scanners with coupled cameras and laser curtains are one of them, permitting now to register at the time: shapes, assemblies, buildings, hills, and whole scenarios, giving out files of clouds of points. But these new technologies have however their costs, limitations, and risks. Many applications require measures in site, where coordinate machines do not arrive, nor require so high accuracy, nor heavy files with millions of points. The question is: are the scanners of coupled cameras-curtains of laser, and the files they provide out, able to support geometric analysis with accuracy? Our answer is yes if adequate pre-processing, post processing and tests are made. This paper will deal with principles of 3D accuracy, vectors arrangement, vectors processing in shapes, and principles and methods of validation, to give them public recognition, for recognized metrology purposes.
{"title":"Continuous Information from Cameras-Laser Scanners to Extract Geometric Parameters of Shapes with Accuracy; Validation of Methods","authors":"J. Sánchez V, Sergio Padilla Olvera, A. Caballero","doi":"10.1109/ICMEAE.2018.00020","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00020","url":null,"abstract":"Up to last century, measures for land were made point by point with geodesic instruments, reaching accuracies better than one centimetre; at nineties, coordinate measuring machines reach accuracies better than one micrometer, but constrained to touch one point at once. In this century new instrumentation has arrived, which is able to catch thousands to millions of 3D points. The scanners with coupled cameras and laser curtains are one of them, permitting now to register at the time: shapes, assemblies, buildings, hills, and whole scenarios, giving out files of clouds of points. But these new technologies have however their costs, limitations, and risks. Many applications require measures in site, where coordinate machines do not arrive, nor require so high accuracy, nor heavy files with millions of points. The question is: are the scanners of coupled cameras-curtains of laser, and the files they provide out, able to support geometric analysis with accuracy? Our answer is yes if adequate pre-processing, post processing and tests are made. This paper will deal with principles of 3D accuracy, vectors arrangement, vectors processing in shapes, and principles and methods of validation, to give them public recognition, for recognized metrology purposes.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128716049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00010
Ruben Molgora, Mauricio A. Martínez-García, Adalberto Llarena
Digital Image Processing (DIP) contributes with many advantages to medical diagnostics. Images can be optimized by improving their quality, which allows specialists to better locate tissue damages, or other anomalies. The planning and execution of surgeries, design of prosthesis, monitoring and evaluation of progression of diseases can greatly benefit from DIP. In particular, Magnetic Resonance Imaging (MRI) is a commonly used technique for medical diagnostics. It is highly accepted for its high precision and resolution in anatomical explorations, allowing an accurate analysis of interest area and the behavior of surrounding tissues. The image sequences captured in different three-dimensional (3D) planes by MRI analysis, allow specialists to determine better diagnoses and treatment for patients. However, the data loss caused by commonly used image compression formats could affect results, if the images are used without preprocessing techniques. This paper will evaluate differences between compressed and uncompressed images, proposing a methodology to improve the quality of compressed images recovering information by the uses of bi-linear and bi-cubic interpolations. The obtained results will be measured with Signal-Noise Ratio (SNR) and variance differences for each case to validate the preprocessing techniques applied. According to the obtained results, data lost by compression algorithms could be recovered by the proposed interpolations techniques.
{"title":"Evaluation of Preprocessing Techniques for Brain Analysis Using Compressed and Uncompressed Magnetic Resonance Imaging","authors":"Ruben Molgora, Mauricio A. Martínez-García, Adalberto Llarena","doi":"10.1109/ICMEAE.2018.00010","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00010","url":null,"abstract":"Digital Image Processing (DIP) contributes with many advantages to medical diagnostics. Images can be optimized by improving their quality, which allows specialists to better locate tissue damages, or other anomalies. The planning and execution of surgeries, design of prosthesis, monitoring and evaluation of progression of diseases can greatly benefit from DIP. In particular, Magnetic Resonance Imaging (MRI) is a commonly used technique for medical diagnostics. It is highly accepted for its high precision and resolution in anatomical explorations, allowing an accurate analysis of interest area and the behavior of surrounding tissues. The image sequences captured in different three-dimensional (3D) planes by MRI analysis, allow specialists to determine better diagnoses and treatment for patients. However, the data loss caused by commonly used image compression formats could affect results, if the images are used without preprocessing techniques. This paper will evaluate differences between compressed and uncompressed images, proposing a methodology to improve the quality of compressed images recovering information by the uses of bi-linear and bi-cubic interpolations. The obtained results will be measured with Signal-Noise Ratio (SNR) and variance differences for each case to validate the preprocessing techniques applied. According to the obtained results, data lost by compression algorithms could be recovered by the proposed interpolations techniques.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126457268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00033
Luis A. Curiel-Ramirez, J. Izquierdo-Reyes, Rogelio Bustamante-Bello, R. Ramírez-Mendoza, Javier A. de la Tejera
Advances in the development of autonomous and semi-autonomous driving vehicles in recent years has allowed to dazzle a near future in which the transportation systems will be based on this type of vehicles, especially focused for different types of services and a decrease in the particular use; generating with it the removal of the equation of the human error in road accidents and a reduce up to 90% deaths caused by this type of accident [1]. That is why this paper will generate an analysis and comparison of different architectures currently proposed in the academy as in the industry, and present our proposal and scope currently developed to semi-automate a car with a modular mechatronic system.
{"title":"Analysis and Approach of Semi-Autonomous Driving Architectures","authors":"Luis A. Curiel-Ramirez, J. Izquierdo-Reyes, Rogelio Bustamante-Bello, R. Ramírez-Mendoza, Javier A. de la Tejera","doi":"10.1109/ICMEAE.2018.00033","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00033","url":null,"abstract":"Advances in the development of autonomous and semi-autonomous driving vehicles in recent years has allowed to dazzle a near future in which the transportation systems will be based on this type of vehicles, especially focused for different types of services and a decrease in the particular use; generating with it the removal of the equation of the human error in road accidents and a reduce up to 90% deaths caused by this type of accident [1]. That is why this paper will generate an analysis and comparison of different architectures currently proposed in the academy as in the industry, and present our proposal and scope currently developed to semi-automate a car with a modular mechatronic system.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116645446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00011
Eduardo Acevedo, Arturo Beltrán, Mauricio Castellanos, Luis Chaverra, Guillermo González, Manuel Sarmiento, Hiram Ponce
One of the problems facing autonomous navigation is obstacle sensing and dynamic surroundings. Multi-sensor systems and omni directional vision systems have been implemented to increase the observability of robots. However, these approaches consider several drawbacks: the cost of processing multiple signals, synchronization of data collection, cost of materials and energy consumption, among others. Thus in this paper, we propose a new 360-degree vision system for mobile robot navigation using a static monocular camera. We demonstrate that using our system, it is possible to monitor the complete surroundings of the robot with a single sensor, i.e. the camera. Moreover, it can detect the position and orientation of an object from an egocentric point of view. We also present a low cost prototype of our proposal to validate it.
{"title":"An Implementation of a Monocular 360-Degree Vision System for Mobile Robot Navigation","authors":"Eduardo Acevedo, Arturo Beltrán, Mauricio Castellanos, Luis Chaverra, Guillermo González, Manuel Sarmiento, Hiram Ponce","doi":"10.1109/ICMEAE.2018.00011","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00011","url":null,"abstract":"One of the problems facing autonomous navigation is obstacle sensing and dynamic surroundings. Multi-sensor systems and omni directional vision systems have been implemented to increase the observability of robots. However, these approaches consider several drawbacks: the cost of processing multiple signals, synchronization of data collection, cost of materials and energy consumption, among others. Thus in this paper, we propose a new 360-degree vision system for mobile robot navigation using a static monocular camera. We demonstrate that using our system, it is possible to monitor the complete surroundings of the robot with a single sensor, i.e. the camera. Moreover, it can detect the position and orientation of an object from an egocentric point of view. We also present a low cost prototype of our proposal to validate it.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"97 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131879403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00040
Eduardo Hernández-Márquez, R. Silva-Ortigoza, G. Saldaña-González, José Rafael García-Sánchez, M. Marcelino-Aranda
This paper solves the voltage tracking of the DC/DC Buck-Boost power electronic converter via a robust direct control. The control design is based on an alternative model of the Buck-Boost converter and contains only voltage terms, thus achieving direct manipulation. The control performance is verified on a converter circuit built in the SimPowerSystem toolbox of Matlab-Simulink. The results show a good voltage tracking against parametric disturbances, as well as the viability of the experimental implementation of the control in a prototype.
{"title":"Robust Voltage Control for the DC/DC Buck-Boost Power Electronic Converter","authors":"Eduardo Hernández-Márquez, R. Silva-Ortigoza, G. Saldaña-González, José Rafael García-Sánchez, M. Marcelino-Aranda","doi":"10.1109/ICMEAE.2018.00040","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00040","url":null,"abstract":"This paper solves the voltage tracking of the DC/DC Buck-Boost power electronic converter via a robust direct control. The control design is based on an alternative model of the Buck-Boost converter and contains only voltage terms, thus achieving direct manipulation. The control performance is verified on a converter circuit built in the SimPowerSystem toolbox of Matlab-Simulink. The results show a good voltage tracking against parametric disturbances, as well as the viability of the experimental implementation of the control in a prototype.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126516731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00042
Jun Li, A. Gómez-Espinosa
In this paper, a neural network PID controller is presented, applying neural network and reducing PID configuration in controlling industry process. Two built neural networks are considered as cores to adjust weights which result in the suggested PID parameters. Algorithm program is written in Siemens TIA Portal and tested in Factory I/O. It is verified after analysis that the proposed model has a better performance than conventional PID in terms of steady state, deviations and consistency of control value after tuning time.
{"title":"Improving PID Control Based on Neural Network","authors":"Jun Li, A. Gómez-Espinosa","doi":"10.1109/ICMEAE.2018.00042","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00042","url":null,"abstract":"In this paper, a neural network PID controller is presented, applying neural network and reducing PID configuration in controlling industry process. Two built neural networks are considered as cores to adjust weights which result in the suggested PID parameters. Algorithm program is written in Siemens TIA Portal and tested in Factory I/O. It is verified after analysis that the proposed model has a better performance than conventional PID in terms of steady state, deviations and consistency of control value after tuning time.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114921757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00037
Carlos Alejandro Avila-Rea, Eduardo Hernández-Márquez, R. Silva-Ortigoza, José Rafael García-Sánchez, G. Saldaña-González
In this paper, the modeling and the experimental verification of an alternative mathematical model for the DC/DC Buck-Boost power electronic converter are presented. In order to experimentally validate the alternative model, a prototype of the converter combined with Matlab-Simulink and a DSPACE 1104 board were used. The results show that the response of the proposed model is similar to the one obtained from experiments with the prototype of the converter.
{"title":"Experimental Validation of an Alternative Model for the DC/DC Buck-Boost Power Electronic Converter","authors":"Carlos Alejandro Avila-Rea, Eduardo Hernández-Márquez, R. Silva-Ortigoza, José Rafael García-Sánchez, G. Saldaña-González","doi":"10.1109/ICMEAE.2018.00037","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00037","url":null,"abstract":"In this paper, the modeling and the experimental verification of an alternative mathematical model for the DC/DC Buck-Boost power electronic converter are presented. In order to experimentally validate the alternative model, a prototype of the converter combined with Matlab-Simulink and a DSPACE 1104 board were used. The results show that the response of the proposed model is similar to the one obtained from experiments with the prototype of the converter.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127180672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICMEAE.2018.00012
Carlos Miguel Avendaño López, M. Ibarra-Manzano, R. Castro-Sanchez, D. Almanza-Ojeda, J. Gómez-Carranza, Juan Pablo Amézquita Sánchez, Jesús Rooney Rivera Guillen, José de Jesús Rangel Magdaleno
In this work is proposed an implementation of a bidimensional indoor positioning system based on visible light communications. The system needs at least three led lamps forming a triangle to localize objects. The trilateration is used to calculate the position of the object, and the RSS to estimate the distance between the object and the lights. The estimators used are deterministic and computational models. The deterministic estimator used is a quadratic regression model by least squares. Computational models used are artificial neural networks: one first option includes an ANN for each lamp and a second one a general ANN for the three lamps system. Best results achieved with this system were about 5 cm of accuracy and 2.5 cm of precision, and this can be intended for the positioning of small targets moving in a room.
{"title":"Indoor Positioning System Based on Visible Light Communications","authors":"Carlos Miguel Avendaño López, M. Ibarra-Manzano, R. Castro-Sanchez, D. Almanza-Ojeda, J. Gómez-Carranza, Juan Pablo Amézquita Sánchez, Jesús Rooney Rivera Guillen, José de Jesús Rangel Magdaleno","doi":"10.1109/ICMEAE.2018.00012","DOIUrl":"https://doi.org/10.1109/ICMEAE.2018.00012","url":null,"abstract":"In this work is proposed an implementation of a bidimensional indoor positioning system based on visible light communications. The system needs at least three led lamps forming a triangle to localize objects. The trilateration is used to calculate the position of the object, and the RSS to estimate the distance between the object and the lights. The estimators used are deterministic and computational models. The deterministic estimator used is a quadratic regression model by least squares. Computational models used are artificial neural networks: one first option includes an ANN for each lamp and a second one a general ANN for the three lamps system. Best results achieved with this system were about 5 cm of accuracy and 2.5 cm of precision, and this can be intended for the positioning of small targets moving in a room.","PeriodicalId":138897,"journal":{"name":"2018 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129546214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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