J. Soria-Alcaraz, Raul Santigo-Montero, Carpio-Valadez J. Martin
The Associative Pattern Classifier (CAP) is a novel approach to solve the pattern classification problem. Recent experiments of the behavior of this classifier in different applications have given encouraging results. Due a this evidence, It has been thinking about the existence of a minimum number for which a higher value of samples used in the learning phase of this classifier brings a very low effect over their classification performance. This paper present an empiric way to obtain this minimum number based in the structure of the used database. this method allows us to define a minimum size for the set used in the learning phase of CAP for which the final classification performance will be reasonably stable, optimizing time and computational resources in the process.
{"title":"One Criterion for the Selection of the Cardinality of Learning Set Used by the Associative Pattern Classifier","authors":"J. Soria-Alcaraz, Raul Santigo-Montero, Carpio-Valadez J. Martin","doi":"10.1109/CERMA.2010.20","DOIUrl":"https://doi.org/10.1109/CERMA.2010.20","url":null,"abstract":"The Associative Pattern Classifier (CAP) is a novel approach to solve the pattern classification problem. Recent experiments of the behavior of this classifier in different applications have given encouraging results. Due a this evidence, It has been thinking about the existence of a minimum number for which a higher value of samples used in the learning phase of this classifier brings a very low effect over their classification performance. This paper present an empiric way to obtain this minimum number based in the structure of the used database. this method allows us to define a minimum size for the set used in the learning phase of CAP for which the final classification performance will be reasonably stable, optimizing time and computational resources in the process.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231869","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}
Keita Takahara, K. Yamaguchi, M. Nakano-Miyatake, H. Perez-Meana
In this paper we propose two image watermarking algorithms, which are robust to cropping operation using self-synchronization mechanism. In both algorithms, the watermark sequence is firstly encoded by non-cyclic Low Density Parity Check Codes (LDPC) and then it is embedded into the block-wised Discrete Cosine Transform (DCT) coefficients using the Quantization Index Modulation (QIM) algorithm. In the watermark extraction process, the first algorithm extracts the watermark sequence using self-synchronization of sum-product decoding. While the second one firstly extracts some synchronization code embedded previously in the regions centered by feature points of the image, and using them block segmentation starting position can be calculated. The desirable performance of both algorithms about the watermark imperceptibility and robustness against cropping attack with different cropping rate is shown, together with computer complexity.
{"title":"Image Watermarking Algorithms with Synchronization Mechanism Using Self-Synchronization Decoding and Feature Points","authors":"Keita Takahara, K. Yamaguchi, M. Nakano-Miyatake, H. Perez-Meana","doi":"10.1109/CERMA.2010.63","DOIUrl":"https://doi.org/10.1109/CERMA.2010.63","url":null,"abstract":"In this paper we propose two image watermarking algorithms, which are robust to cropping operation using self-synchronization mechanism. In both algorithms, the watermark sequence is firstly encoded by non-cyclic Low Density Parity Check Codes (LDPC) and then it is embedded into the block-wised Discrete Cosine Transform (DCT) coefficients using the Quantization Index Modulation (QIM) algorithm. In the watermark extraction process, the first algorithm extracts the watermark sequence using self-synchronization of sum-product decoding. While the second one firstly extracts some synchronization code embedded previously in the regions centered by feature points of the image, and using them block segmentation starting position can be calculated. The desirable performance of both algorithms about the watermark imperceptibility and robustness against cropping attack with different cropping rate is shown, together with computer complexity.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127357244","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}
D. Vega-Hernandez, L. García-Valdovinos, O. Dominguez-Ramirez, Arturo Curiel-Anaya
In this paper a PID control applied particularly in robot manipulators. To understand the development of the proposal presents a mathematical preliminary section we used, we explicitly describe relevant aspects of kinematics and dynamics of the haptic device Phantom Premium 1.0, technology and mathematical models, and the design and experimental results of PID control based on passivity, the type of state feedback, variable structure adaptation and sub-optimization. It also presents a test design for stability in the sense of Lyapunov.
{"title":"Kinesthetic Guidance Based on PID Control for Haptic Interaction","authors":"D. Vega-Hernandez, L. García-Valdovinos, O. Dominguez-Ramirez, Arturo Curiel-Anaya","doi":"10.1109/CERMA.2010.77","DOIUrl":"https://doi.org/10.1109/CERMA.2010.77","url":null,"abstract":"In this paper a PID control applied particularly in robot manipulators. To understand the development of the proposal presents a mathematical preliminary section we used, we explicitly describe relevant aspects of kinematics and dynamics of the haptic device Phantom Premium 1.0, technology and mathematical models, and the design and experimental results of PID control based on passivity, the type of state feedback, variable structure adaptation and sub-optimization. It also presents a test design for stability in the sense of Lyapunov.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125144811","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}
Wireless sensor networks (WSN) are an emerging technology based on the progress in digital electronics, micro-electromechanical systems and wireless communication science in the last decade. These advances have made possible the development of low power sensing devices with short range wireless communication capability at low cost. Business Week has stated that “microelectronic sensor networks is one of the 21 most important technologies of the 21st century”. This works presents LiSANDRA (Lightweight Sensor and Actuator Network with Distance Range Auto-adjustable) that is as part of our first experiences in designing and developing WSNs using commercial-off-the-shelf (COTS) components and assembled in-house. LiSANDRA is used in internal institutional projects and as a support tool for teaching in undergraduate and graduate engineering programs in Electronic and Computing, providing students a hands-on experience with emphasis on embedded software design.
{"title":"LiSANDRA: A Low-Cost Experimental Wireless Sensor Network","authors":"Leocundo Aguilar, G. Licea, J. A. García-Macías","doi":"10.1109/CERMA.2010.103","DOIUrl":"https://doi.org/10.1109/CERMA.2010.103","url":null,"abstract":"Wireless sensor networks (WSN) are an emerging technology based on the progress in digital electronics, micro-electromechanical systems and wireless communication science in the last decade. These advances have made possible the development of low power sensing devices with short range wireless communication capability at low cost. Business Week has stated that “microelectronic sensor networks is one of the 21 most important technologies of the 21st century”. This works presents LiSANDRA (Lightweight Sensor and Actuator Network with Distance Range Auto-adjustable) that is as part of our first experiences in designing and developing WSNs using commercial-off-the-shelf (COTS) components and assembled in-house. LiSANDRA is used in internal institutional projects and as a support tool for teaching in undergraduate and graduate engineering programs in Electronic and Computing, providing students a hands-on experience with emphasis on embedded software design.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160716","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}
This document proposes a agent-based decentralisation methodology for the electricity power market. To this end a graph is built where the nodes represent each variable and the values associated to it. The links are those non-diagonal elements within ??(?(z)). Then, a decentralization process is applied based on a multi-agent approach where the system is decomposed by assigning a subset of node variables and links to each one of the agents i.e. generator, nodes, lines. Two basic points are observed in the decomposition procedure. First, the agent model is kept simple. Second, the agents’ private data are not intercommunicated. The application of this decomposition has a positive side effect: The complexity of the system, as a result of the network interconnectivity, is converted into local intercommunication tasks.
{"title":"An Agent-Based Decentralisation Approach for the Electricity Power Market","authors":"J. C. Jacobo, D. D. Roure","doi":"10.1109/CERMA.2010.130","DOIUrl":"https://doi.org/10.1109/CERMA.2010.130","url":null,"abstract":"This document proposes a agent-based decentralisation methodology for the electricity power market. To this end a graph is built where the nodes represent each variable and the values associated to it. The links are those non-diagonal elements within ??(?(z)). Then, a decentralization process is applied based on a multi-agent approach where the system is decomposed by assigning a subset of node variables and links to each one of the agents i.e. generator, nodes, lines. Two basic points are observed in the decomposition procedure. First, the agent model is kept simple. Second, the agents’ private data are not intercommunicated. The application of this decomposition has a positive side effect: The complexity of the system, as a result of the network interconnectivity, is converted into local intercommunication tasks.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"60 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123391602","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}
C. Delgado-Mata, R. Velázquez, R. Pooley, R. Aylett, J. Robertson
This article describes an environment based on the user’s physical location to tell interactive stories on mobile devices. First, the technology to physically locate the user is presented. Thence the project, called MPISTE, is put into context with related projects. The paper continues with the description of the project and its design as part of a project to develop an affective virtual guide. The work described herein consists of two parts. The first one is the client, which was developed (using J2ME) for Smart-phones. The client is connected via bluetooth to devices such as RFID and GPS for locating the user. The second one is the server (web-server), which receives requests from the former and these are answered via serv lets, which relay petitions to a relational database. The communication protocol used to communicate the mobile phone with the server is EDGE/3GSM. Finally, an ongoing application is presented: museum guidance for the severely motor-impaired. MPISTE is mounted on a robotic wheelchair which guides the user among the museum’s rooms while providing location-aware interactive audio stories.
{"title":"MPISTE: A Mobile, Personalised, Interactive Story Telling Environment","authors":"C. Delgado-Mata, R. Velázquez, R. Pooley, R. Aylett, J. Robertson","doi":"10.1109/CERMA.2010.37","DOIUrl":"https://doi.org/10.1109/CERMA.2010.37","url":null,"abstract":"This article describes an environment based on the user’s physical location to tell interactive stories on mobile devices. First, the technology to physically locate the user is presented. Thence the project, called MPISTE, is put into context with related projects. The paper continues with the description of the project and its design as part of a project to develop an affective virtual guide. The work described herein consists of two parts. The first one is the client, which was developed (using J2ME) for Smart-phones. The client is connected via bluetooth to devices such as RFID and GPS for locating the user. The second one is the server (web-server), which receives requests from the former and these are answered via serv lets, which relay petitions to a relational database. The communication protocol used to communicate the mobile phone with the server is EDGE/3GSM. Finally, an ongoing application is presented: museum guidance for the severely motor-impaired. MPISTE is mounted on a robotic wheelchair which guides the user among the museum’s rooms while providing location-aware interactive audio stories.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396247","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}
I. López-García, V. M. Jimenez-Mondragon, E. Campero-Littlewood, G. Espinosa-Pérez
This paper presents the evaluation of a passivity based control (PBC) strategy for doubly-fed induction generators having wind turbines as prime movers and operating connected to a power network. The evaluation is intended to demonstrate that a PBC strategy initially designed to control generation at unity power factor can control power exchange at a fixed active power delivery to the grid with different power factors. The system model assumes a wind flow of constant kinetic energy and hence a constant mechanical torque in the turbine shaft. The power network is modeled as an infinite bus connected through a line-impedance to the generator terminals. The obtained results show that the PBC strategy is simple and effective and that the active and reactive power exchange with the power system can be adequately controlled.
{"title":"Passivity Based Control of Doubly-Fed Induction Generators in Wind Turbines","authors":"I. López-García, V. M. Jimenez-Mondragon, E. Campero-Littlewood, G. Espinosa-Pérez","doi":"10.1109/CERMA.2010.125","DOIUrl":"https://doi.org/10.1109/CERMA.2010.125","url":null,"abstract":"This paper presents the evaluation of a passivity based control (PBC) strategy for doubly-fed induction generators having wind turbines as prime movers and operating connected to a power network. The evaluation is intended to demonstrate that a PBC strategy initially designed to control generation at unity power factor can control power exchange at a fixed active power delivery to the grid with different power factors. The system model assumes a wind flow of constant kinetic energy and hence a constant mechanical torque in the turbine shaft. The power network is modeled as an infinite bus connected through a line-impedance to the generator terminals. The obtained results show that the PBC strategy is simple and effective and that the active and reactive power exchange with the power system can be adequately controlled.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130544923","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}
M. Cabrera, I. L. Juárez, R. Cabrera, R. Osorio, H. Gomez
This paper shows a methodology for on-line recognition and classification of pieces in robotic assembly tasks and its application into an intelligent manufacturing cell. The performance of industrial robots working in unstructured environments can be improved using visual perception and learning techniques The object recognition is accomplished using a neuronal network with FuzzyARTMAP architecture for learning and recognition purposes, which receives a descriptor vector called CFD&POSE as the input. This vector represents an innovative methodology for classification and identification of pieces in robotic tasks, every single stage of the methodology, is described step by step and the proposed algorithms explained. The vector compresses 3D object data from assembly parts and is invariant to scale, rotation and orientation. The approach in combination with the fast learning capability of ART networks indicates the suitability for industrial robot applications as it is shown in experimental results and the possibility to add concatenated information into the descriptor vector to achieve a much more robust methodology.
{"title":"Real Time Object Recognition Methodology","authors":"M. Cabrera, I. L. Juárez, R. Cabrera, R. Osorio, H. Gomez","doi":"10.1109/CERMA.2010.116","DOIUrl":"https://doi.org/10.1109/CERMA.2010.116","url":null,"abstract":"This paper shows a methodology for on-line recognition and classification of pieces in robotic assembly tasks and its application into an intelligent manufacturing cell. The performance of industrial robots working in unstructured environments can be improved using visual perception and learning techniques The object recognition is accomplished using a neuronal network with FuzzyARTMAP architecture for learning and recognition purposes, which receives a descriptor vector called CFD&POSE as the input. This vector represents an innovative methodology for classification and identification of pieces in robotic tasks, every single stage of the methodology, is described step by step and the proposed algorithms explained. The vector compresses 3D object data from assembly parts and is invariant to scale, rotation and orientation. The approach in combination with the fast learning capability of ART networks indicates the suitability for industrial robot applications as it is shown in experimental results and the possibility to add concatenated information into the descriptor vector to achieve a much more robust methodology.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122253773","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}
Demand Management (DM) is a method which can help a firm to sell the right inventory unit to the right type of customer, at the right time, and for the right price. DM guides the decision of how to allocate undifferentiated units of capacity to available demand in such a way to maximize revenue. The problem then becomes one of determining how much to sell at what price and to which market segment. The objective of this research project is to present control system approaches to DM with Dynamic Pricing using Fast Model Predictive Control in the Semiconductor Manufacturing arena. Manufacturers of integrated circuits invest billions of dollars in process equipment, and they are interested in obtaining as rapid a return on their investment as possible. Rapid yield learning is thus becoming an increasingly important source of competitive advantage. The sooner a potentially lucrative circuit yields, the sooner the manufacturer can generate a revenue stream.
{"title":"Demand Management in Semiconductor Manufacturing: A Dynamic Pricing Approach Based on Fast Model Predictive Control","authors":"Y. Davizón, Jorge de J. Lozoya, R. Soto","doi":"10.1109/CERMA.2010.66","DOIUrl":"https://doi.org/10.1109/CERMA.2010.66","url":null,"abstract":"Demand Management (DM) is a method which can help a firm to sell the right inventory unit to the right type of customer, at the right time, and for the right price. DM guides the decision of how to allocate undifferentiated units of capacity to available demand in such a way to maximize revenue. The problem then becomes one of determining how much to sell at what price and to which market segment. The objective of this research project is to present control system approaches to DM with Dynamic Pricing using Fast Model Predictive Control in the Semiconductor Manufacturing arena. Manufacturers of integrated circuits invest billions of dollars in process equipment, and they are interested in obtaining as rapid a return on their investment as possible. Rapid yield learning is thus becoming an increasingly important source of competitive advantage. The sooner a potentially lucrative circuit yields, the sooner the manufacturer can generate a revenue stream.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122268919","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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