http://hdl.handle.net/2117/3351 Sun, 26 May 2013 05:12:21 GMT 2013-05-26T05:12:21Z webmaster.bupc@upc.edu Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació no http://hdl.handle.net/2117/19266 Title: Ranking and selection of unsupervised learning marketing segmentation Authors: Sanchez Hernandez, German; Chiclana, Francisco; Agell Jané, Núria; Aguado Chao, Juan Carlos Abstract: This paper addresses the problem of choosing the most appropriate classification from a given set of classifications of a set of patterns. This is a relevant topic on unsupervised systems and clustering analysis because different classifications can in general be obtained from the same data set. The provided methodology is based on five fuzzy criteria which are aggregated using an Ordered Weighted Averaging (OWA) operator. To this end, a novel multi-criteria decision making (MCDM) system is defined, which assesses the degree up to which each criterion is met by all classifications. The corresponding single evaluations are then proposed to be aggregated into a collective one by means of an OWA operator guided by a fuzzy linguistic quantifier, which is used to implement the concept of fuzzy majority in the selection process. This new methodology is applied to a real marketing case based on a business to business (B2B) environment to help marketing experts during the segmentation process. As a result, a segmentation containing three segments consisting of 35, 98 and 127 points of sale respectively is selected to be the most suitable to endorse marketing strategies of the firm. Finally, an analysis of the managerial implications of the proposed methodology solution is provided. Wed, 15 May 2013 16:10:37 GMT http://hdl.handle.net/2117/19266 2013-05-15T16:10:37Z Sanchez Hernandez, German; Chiclana, Francisco; Agell Jané, Núria; Aguado Chao, Juan Carlos no Fuzzy selection criteria, OWA operator, Classification selection, Market segmentation, Linguistic quantifier This paper addresses the problem of choosing the most appropriate classification from a given set of classifications of a set of patterns. This is a relevant topic on unsupervised systems and clustering analysis because different classifications can in general be obtained from the same data set. The provided methodology is based on five fuzzy criteria which are aggregated using an Ordered Weighted Averaging (OWA) operator. To this end, a novel multi-criteria decision making (MCDM) system is defined, which assesses the degree up to which each criterion is met by all classifications. The corresponding single evaluations are then proposed to be aggregated into a collective one by means of an OWA operator guided by a fuzzy linguistic quantifier, which is used to implement the concept of fuzzy majority in the selection process. This new methodology is applied to a real marketing case based on a business to business (B2B) environment to help marketing experts during the segmentation process. As a result, a segmentation containing three segments consisting of 35, 98 and 127 points of sale respectively is selected to be the most suitable to endorse marketing strategies of the firm. Finally, an analysis of the managerial implications of the proposed methodology solution is provided. http://hdl.handle.net/2117/19156 Title: A study on output normalization in multiclass SVMs Authors: González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio Abstract: The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, are, in general, of various magnitudes. In order to overcome this scaling problem, a normalization process should be applied on the SVMs’ outputs. Thus, a new normalization approach is presented based on the convex hulls that contain the classes to be separated. Furthermore, a theoretical study is developed which justifies the proposed approach, and an interpretation is provided. An empirical study is also carried out to compare this normalization with others found in the literature. Fri, 10 May 2013 10:50:07 GMT http://hdl.handle.net/2117/19156 2013-05-10T10:50:07Z González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio no 1-v-r SVM, Convex hull, Kernel methods, Multiclassification The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, are, in general, of various magnitudes. In order to overcome this scaling problem, a normalization process should be applied on the SVMs’ outputs. Thus, a new normalization approach is presented based on the convex hulls that contain the classes to be separated. Furthermore, a theoretical study is developed which justifies the proposed approach, and an interpretation is provided. An empirical study is also carried out to compare this normalization with others found in the literature. http://hdl.handle.net/2117/16669 Title: Information technologies based questionnaire tool in human-automation systems Authors: Manresa-Yee, Cristina; Ponsa Asensio, Pere; Vilanova, Ramon; Pérez, Àlex Abstract: In this paper we present an Information Technologies (IT) based questionnaire tool in order to support evaluation activities related to industrial automation. We assess the questionnaire tool by giving special attention to teaching activities at different universities and industrial cooperation, all of them within the industrial automation field. In an initial assessment, the use of an evaluation questionnaire tool within an academic platform allows members from different universities to collaborate and to share knowledge. By means of an example, the Barcelona Tech University in Spain provides support for teaching activities in automation to the ESPE University in Quito, Ecuador. A second case study example is presented in order to show how to detect sources of complexity in human supervisory control room tasks in wastewater treatment plants. The first results show that the interface is effective, easy to use and understand and can help engineering students in a training program to play the role of control room operators and the elicitation of sources of complexity can be useful to improve the interaction between humans and safety-critical systems in the industrial domain. Mon, 08 Oct 2012 11:17:51 GMT http://hdl.handle.net/2117/16669 2012-10-08T11:17:51Z Manresa-Yee, Cristina; Ponsa Asensio, Pere; Vilanova, Ramon; Pérez, Àlex no Display design, questionnaire, automation, supervisory control In this paper we present an Information Technologies (IT) based questionnaire tool in order to support evaluation activities related to industrial automation. We assess the questionnaire tool by giving special attention to teaching activities at different universities and industrial cooperation, all of them within the industrial automation field. In an initial assessment, the use of an evaluation questionnaire tool within an academic platform allows members from different universities to collaborate and to share knowledge. By means of an example, the Barcelona Tech University in Spain provides support for teaching activities in automation to the ESPE University in Quito, Ecuador. A second case study example is presented in order to show how to detect sources of complexity in human supervisory control room tasks in wastewater treatment plants. The first results show that the interface is effective, easy to use and understand and can help engineering students in a training program to play the role of control room operators and the elicitation of sources of complexity can be useful to improve the interaction between humans and safety-critical systems in the industrial domain. http://hdl.handle.net/2117/16452 Title: Complexity in safety-critical systems Authors: Ponsa Asensio, Pere Fri, 07 Sep 2012 10:27:00 GMT http://hdl.handle.net/2117/16452 2012-09-07T10:27:00Z Ponsa Asensio, Pere no http://hdl.handle.net/2117/16203 Title: Human factors and ergonomics in engineering curricula Authors: Ponsa Asensio, Pere Mon, 09 Jul 2012 09:58:53 GMT http://hdl.handle.net/2117/16203 2012-07-09T09:58:53Z Ponsa Asensio, Pere no http://hdl.handle.net/2117/16195 Title: An avatar acceptance study for home automation scenarios Authors: Manresa-Yee, Cristina; Ponsa Asensio, Pere; Arellano, Diana; Larrea, Martin Abstract: In this paper we present a graphical user interface (GUI) for home automation which includes an avatar interface as a help-system. The work aims at analysing the user-home automation system interaction to model the user control over the system and the level of assistance required. We have developed high-fi prototypes to test the avatar-based help system with incremental functionalities embedded in the home GUI. Preliminary results suggest the acceptance of the system and its use in share control systems in smart and assistive home scenarios. Mon, 09 Jul 2012 07:49:29 GMT http://hdl.handle.net/2117/16195 2012-07-09T07:49:29Z Manresa-Yee, Cristina; Ponsa Asensio, Pere; Arellano, Diana; Larrea, Martin no Avatar, Emotion, Home Automation, Usability In this paper we present a graphical user interface (GUI) for home automation which includes an avatar interface as a help-system. The work aims at analysing the user-home automation system interaction to model the user control over the system and the level of assistance required. We have developed high-fi prototypes to test the avatar-based help system with incremental functionalities embedded in the home GUI. Preliminary results suggest the acceptance of the system and its use in share control systems in smart and assistive home scenarios. http://hdl.handle.net/2117/14223 Title: The use of role playing in engineering curricula: a case study in human-automation systems Authors: Ponsa Asensio, Pere; Vilanova i Arbós, Ramon; Gomà, Anton; Pérez, Àlex Abstract: This communication presents a collaborative experience between four Spanish centers: the School of Engineering (ETSE) and the Sports Services Area (SAF) both from the Universitat Autónoma de Barcelona (UAB) jointly with two centers of the Technical University ofCatalonia, the Technical school from ViJanova i la GeJtru (EPSEVG) and the Technical school in Terrassa (ETSEIAT). The idea behind this colaboration is to explore the possibility of role playing in engineering ed ucation and project development for engineering students. The basic principie of such projects is the identification ofthe corresponding roles associated wi th the differen t parts that can be found OD current social/industrial activity. In this paper the role playing model is presented: the first part, the role ofthe partners, and the second part the students' role developing applied projects in human-automation systems. Mon, 12 Dec 2011 16:27:44 GMT http://hdl.handle.net/2117/14223 2011-12-12T16:27:44Z Ponsa Asensio, Pere; Vilanova i Arbós, Ramon; Gomà, Anton; Pérez, Àlex no This communication presents a collaborative experience between four Spanish centers: the School of Engineering (ETSE) and the Sports Services Area (SAF) both from the Universitat Autónoma de Barcelona (UAB) jointly with two centers of the Technical University ofCatalonia, the Technical school from ViJanova i la GeJtru (EPSEVG) and the Technical school in Terrassa (ETSEIAT). The idea behind this colaboration is to explore the possibility of role playing in engineering ed ucation and project development for engineering students. The basic principie of such projects is the identification ofthe corresponding roles associated wi th the differen t parts that can be found OD current social/industrial activity. In this paper the role playing model is presented: the first part, the role ofthe partners, and the second part the students' role developing applied projects in human-automation systems. http://hdl.handle.net/2117/13325 Title: Online motion recognition using an accelerometer in a mobile device Authors: Fuentes, Daniel; González Abril, Luis; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio Abstract: This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of a statistical study and machine learning algorithms in order to obtain a classification function. Then, that function is implemented in a mobile phone and online experiments are carried out. Experimental results show that this approach can be used to effectively recognize different human activities with a high-level accuracy. Mon, 26 Sep 2011 10:03:26 GMT http://hdl.handle.net/2117/13325 2011-09-26T10:03:26Z Fuentes, Daniel; González Abril, Luis; Angulo Bahón, Cecilio; Ortega Ramírez, Juan Antonio no This paper introduces a new method to implement a motion recognition process using a mobile phone fitted with an accelerometer. The data collected from the accelerometer are interpreted by means of a statistical study and machine learning algorithms in order to obtain a classification function. Then, that function is implemented in a mobile phone and online experiments are carried out. Experimental results show that this approach can be used to effectively recognize different human activities with a high-level accuracy. http://hdl.handle.net/2117/13182 Title: Analyzing human gait and posture by combining feature selection and kernel methods Authors: Samà Monsonís, Albert; Angulo Bahón, Cecilio; Pardo Ayala, Diego Esteban; Català Mallofré, Andreu; Cabestany Moncusí, Joan Abstract: This paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes limitations for the automatic estimation of relevant properties, like step length and gait velocity, as well as for the detection of standard postures like sitting or standing. Moreover, the exact location and orientation of the sensor is also a common restriction that is relaxed in this study. Based on accelerations provided by a sensor, known as the `9 2', three approaches are presented extracting kinematic information from the user motion and posture. Firstly, a two-phases procedure implementing feature extraction and Support Vector Machine based classi cation for daily living activity monitoring is presented. Secondly, Support Vector Regression is applied on heuristically extracted features for the automatic computation of spatiotemporal properties during gait. Finally, sensor information is interpreted as an observation of a particular trajectory of the human gait dynamical system, from which a reconstruction space is obtained, and then transformed using standard principal components analysis, nally Support Vector Regression is used for prediction. Daily living Activities are detected and spatiotemporal parameters of human gait are estimated using methods sharing a common structure based on feature extraction and kernel methods. The approaches presented are susceptible to be used for medical purposes. Tue, 13 Sep 2011 07:27:39 GMT http://hdl.handle.net/2117/13182 2011-09-13T07:27:39Z Samà Monsonís, Albert; Angulo Bahón, Cecilio; Pardo Ayala, Diego Esteban; Català Mallofré, Andreu; Cabestany Moncusí, Joan no This paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes limitations for the automatic estimation of relevant properties, like step length and gait velocity, as well as for the detection of standard postures like sitting or standing. Moreover, the exact location and orientation of the sensor is also a common restriction that is relaxed in this study. Based on accelerations provided by a sensor, known as the `9 2', three approaches are presented extracting kinematic information from the user motion and posture. Firstly, a two-phases procedure implementing feature extraction and Support Vector Machine based classi cation for daily living activity monitoring is presented. Secondly, Support Vector Regression is applied on heuristically extracted features for the automatic computation of spatiotemporal properties during gait. Finally, sensor information is interpreted as an observation of a particular trajectory of the human gait dynamical system, from which a reconstruction space is obtained, and then transformed using standard principal components analysis, nally Support Vector Regression is used for prediction. Daily living Activities are detected and spatiotemporal parameters of human gait are estimated using methods sharing a common structure based on feature extraction and kernel methods. The approaches presented are susceptible to be used for medical purposes. http://hdl.handle.net/2117/13170 Title: Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement Authors: Angulo Bahón, Cecilio; Cabestany Moncusí, Joan; Rodríguez, Pablo; Batlle, Montserrat; González, Antonio; de Campos, Sergio Abstract: In order to prevent and reduce water pollution, promote a sustainable use, protect the environment and enhance the status of aquatic ecosystems, this article deals with the application of advanced mathematical techniques designed to aid in the management of records of different water quality monitoring networks. These studies include the development of a software tool for decision support, based on the application of fuzzy logic techniques, which can indicate water quality episodes from the behaviour of variables measured at continuous automatic water control networks. Using a few physicalchemical variables recorded continuously, the expert system is able to obtain water quality phenomena indicators, which can be associated, with a high probability of cause-effect relationship, with human pressure on the water environment, such as urban discharges or diffuse agricultural pollution. In this sense, at the proposed expert system, automatic water quality control networks complement manual sampling of official administrative networks and laboratory analysis, providing information related to specific events (discharges) or continuous processes (eutrophication, fish risk) which can hardly be detected by discrete sampling. Thu, 08 Sep 2011 09:21:03 GMT http://hdl.handle.net/2117/13170 2011-09-08T09:21:03Z Angulo Bahón, Cecilio; Cabestany Moncusí, Joan; Rodríguez, Pablo; Batlle, Montserrat; González, Antonio; de Campos, Sergio no In order to prevent and reduce water pollution, promote a sustainable use, protect the environment and enhance the status of aquatic ecosystems, this article deals with the application of advanced mathematical techniques designed to aid in the management of records of different water quality monitoring networks. These studies include the development of a software tool for decision support, based on the application of fuzzy logic techniques, which can indicate water quality episodes from the behaviour of variables measured at continuous automatic water control networks. Using a few physicalchemical variables recorded continuously, the expert system is able to obtain water quality phenomena indicators, which can be associated, with a high probability of cause-effect relationship, with human pressure on the water environment, such as urban discharges or diffuse agricultural pollution. In this sense, at the proposed expert system, automatic water quality control networks complement manual sampling of official administrative networks and laboratory analysis, providing information related to specific events (discharges) or continuous processes (eutrophication, fish risk) which can hardly be detected by discrete sampling. http://hdl.handle.net/2117/12789 Title: Aibo JukeBox : a robot dance interactive experience Authors: Angulo Bahón, Cecilio; Comas-Fernandez, Joan; Pardo Ayala, Diego Esteban Abstract: This paper presents a human-robot interaction system based on the Aibo platform. This robot is both, complex and empathetic enough to generate a high level of interest from the user. The complete system is an interactive JukeBox intending to generate affective participation, i.e., empathy, from the user towards the robot and its behavior. This application is based on a robotic dance control system that generates movements adequate to the music rhythm using a stochastic controller. The user can interact with the system selecting or providing the songs to be danced by the robot. The application has been successfully presented in different non-scientific scenarios. Fri, 17 Jun 2011 10:26:35 GMT http://hdl.handle.net/2117/12789 2011-06-17T10:26:35Z Angulo Bahón, Cecilio; Comas-Fernandez, Joan; Pardo Ayala, Diego Esteban no This paper presents a human-robot interaction system based on the Aibo platform. This robot is both, complex and empathetic enough to generate a high level of interest from the user. The complete system is an interactive JukeBox intending to generate affective participation, i.e., empathy, from the user towards the robot and its behavior. This application is based on a robotic dance control system that generates movements adequate to the music rhythm using a stochastic controller. The user can interact with the system selecting or providing the songs to be danced by the robot. The application has been successfully presented in different non-scientific scenarios. http://hdl.handle.net/2117/12788 Title: Biologically inspired path execution using SURF flow in robot navigation Authors: Perez-Sala, Xavier; Angulo Bahón, Cecilio; Escalera, Sergio Abstract: An exportable and robust system using only camera images is proposed for path execution in robot navigation. Motion information is extracted in the form of optical flow from SURF robust descriptors of consecutive frames, so the method is called SURF flow. This information is used to correct robot displacement when a straight forward path command is sent to the robot, but it is not really executed due to several robot and environmental concerns. The proposed system has been successfully tested on the legged robot Aibo. Fri, 17 Jun 2011 09:59:32 GMT http://hdl.handle.net/2117/12788 2011-06-17T09:59:32Z Perez-Sala, Xavier; Angulo Bahón, Cecilio; Escalera, Sergio no An exportable and robust system using only camera images is proposed for path execution in robot navigation. Motion information is extracted in the form of optical flow from SURF robust descriptors of consecutive frames, so the method is called SURF flow. This information is used to correct robot displacement when a straight forward path command is sent to the robot, but it is not really executed due to several robot and environmental concerns. The proposed system has been successfully tested on the legged robot Aibo. http://hdl.handle.net/2117/12596 Title: Higher education challenges: introduction of active methodologies in engineering curricula Authors: Ponsa Asensio, Pere; Amante García, Beatriz; Román Jiménez, José Antonio; Oliver del Olmo, Sonia; Díaz Boladeras, Marta; Vives i Gràcia, Josep Abstract: The aim of this paper is to develop and implement a progressive project to evaluate the current teaching/learning process in our universities. We will also consider the fact that in order to measure and certify the acquisition of cross curricular competencies, such as being able to search for specific information, working in a group, etc., we will have to identify the roles and responsibilities of the teaching professional in the team involved in the courses: Subject Head, Student Body Tutor, Project Co-ordinator and Head of the Centre's teaching plan. We also include a sample of the teaching/learning process divided into four phases: Reflection, Active methodologies plan, Execution and Assessment. Next, we describe the application of this approach inside the current Engineering Degree curriculum in the Vilanova i la Geltrú's Higher School of Engineering (Technical University of Catalonia). We will include examples of the use of PBL (Problem-/ Project-Based Learning) and Cooperative Learning in subjects in the MsC Engineering curricula Automation and Industrial Electronics Engineering in two High Schools at the Technical University of Catalonia (UPC). Through these experiences we will illustrate the conjoining and coordinating of subjects and how the competencies of our students are measured in order to make academic changes much easier and, therefore, give us more confidence in facing the imminent European Higher Education convergence. Wed, 18 May 2011 10:49:25 GMT http://hdl.handle.net/2117/12596 2011-05-18T10:49:25Z Ponsa Asensio, Pere; Amante García, Beatriz; Román Jiménez, José Antonio; Oliver del Olmo, Sonia; Díaz Boladeras, Marta; Vives i Gràcia, Josep no The aim of this paper is to develop and implement a progressive project to evaluate the current teaching/learning process in our universities. We will also consider the fact that in order to measure and certify the acquisition of cross curricular competencies, such as being able to search for specific information, working in a group, etc., we will have to identify the roles and responsibilities of the teaching professional in the team involved in the courses: Subject Head, Student Body Tutor, Project Co-ordinator and Head of the Centre's teaching plan. We also include a sample of the teaching/learning process divided into four phases: Reflection, Active methodologies plan, Execution and Assessment. Next, we describe the application of this approach inside the current Engineering Degree curriculum in the Vilanova i la Geltrú's Higher School of Engineering (Technical University of Catalonia). We will include examples of the use of PBL (Problem-/ Project-Based Learning) and Cooperative Learning in subjects in the MsC Engineering curricula Automation and Industrial Electronics Engineering in two High Schools at the Technical University of Catalonia (UPC). Through these experiences we will illustrate the conjoining and coordinating of subjects and how the competencies of our students are measured in order to make academic changes much easier and, therefore, give us more confidence in facing the imminent European Higher Education convergence. http://hdl.handle.net/2117/12587 Title: Ergonomic design applied in a sugar mill interface Authors: Ponsa Asensio, Pere; Amante García, Beatriz; Díaz Boladeras, Marta Abstract: In tasks requiring human supervision in an industrial control room there are applied generic disciplines like automatic control and engineering systems. From the point of view of the human computer interaction applied to these disciplines it is necessary to add usability engineering and cognitive ergonomics. This integrated framework is an example of human-centred design on automation systems. The main goal of this work is the application of a cognitive ergonomic guideline for supervisory control in order to improve the efficiency of a sugar mill interface design. Wed, 18 May 2011 07:40:19 GMT http://hdl.handle.net/2117/12587 2011-05-18T07:40:19Z Ponsa Asensio, Pere; Amante García, Beatriz; Díaz Boladeras, Marta no In tasks requiring human supervision in an industrial control room there are applied generic disciplines like automatic control and engineering systems. From the point of view of the human computer interaction applied to these disciplines it is necessary to add usability engineering and cognitive ergonomics. This integrated framework is an example of human-centred design on automation systems. The main goal of this work is the application of a cognitive ergonomic guideline for supervisory control in order to improve the efficiency of a sugar mill interface design. http://hdl.handle.net/2117/12175 Title: Evaluación de la usabilidad para la tarea de supervisión humana en sala de control industrial Authors: Ponsa Asensio, Pere; Amante García, Beatriz; Díaz Boladeras, Marta Abstract: En tareas de supervisión humana de sala de control industrial se aplican de forma genérica disciplinas como la seguridad y la ergonomía física para el diseño de la sala de control. Desde el punto de vista de la interacción persona-ordenador, a estas disciplinas hay que añadir la ingeniería de la usabilidad y la ergonomía cognitiva ya que aportan pautas para el diseño centrado en el usuario. Este artículo presenta una guía ergonómica de diseño para la mejora de la calidad de una interfaz de supervisión industrial. El artículo muestra la aplicación de la guía sobre el simulador de alcance total del Centro de Tecnología Azucarera, para contribuir al programa de formación de operarios en aspectos de mejoras de rendimiento del sistema persona-ordenador en procesos productivos complejos. Wed, 30 Mar 2011 11:04:40 GMT http://hdl.handle.net/2117/12175 2011-03-30T11:04:40Z Ponsa Asensio, Pere; Amante García, Beatriz; Díaz Boladeras, Marta no En tareas de supervisión humana de sala de control industrial se aplican de forma genérica disciplinas como la seguridad y la ergonomía física para el diseño de la sala de control. Desde el punto de vista de la interacción persona-ordenador, a estas disciplinas hay que añadir la ingeniería de la usabilidad y la ergonomía cognitiva ya que aportan pautas para el diseño centrado en el usuario. Este artículo presenta una guía ergonómica de diseño para la mejora de la calidad de una interfaz de supervisión industrial. El artículo muestra la aplicación de la guía sobre el simulador de alcance total del Centro de Tecnología Azucarera, para contribuir al programa de formación de operarios en aspectos de mejoras de rendimiento del sistema persona-ordenador en procesos productivos complejos.