THERE ARE DIFFERENT APPROACHES TO THE TEMPORAL STUDY OF TIME EVOLVING SYSTEMS. THIS PAPER REVIEWS... more THERE ARE DIFFERENT APPROACHES TO THE TEMPORAL STUDY OF TIME EVOLVING SYSTEMS. THIS PAPER REVIEWS PREVIOUS WORKS RELATED TO TIME SERIES AND IT EVALUATES THREE APPROACHES FOCUSED TO THE COMPARISON OF THESE TYPES OF SERIES. TWO APPROACHES ARE BASED ON THE PRINCIPLES OF DYNAMIC TIME WARPING ALGORITHM (DTW) AND ONE OF THEM USES QUALITATIVE REPRESENTATION BASED ON EPISODES. BOTH STRATEGIES ARE DISCUSSED AND APPLIED TO A TANK SYSTEM DIAGNOSIS AND RETRIEVAL OF REGISTERS OF PERTURBATIONS GATHERED IN A ELECTRIC DISTRIBUTION SUBSTATION. THE THIRD APPROACH USES A SIMILARITY INDEX DEFINED BY QUALITATIVE LABELS. EACH LABEL REPRESENTS A RANGE OF VALUES THAT, FROM A QUALITATIVE PERSPECTIVE, WE MAY CONSIDER SIMILAR. THIS APPROACH IS TESTED WITH TWO DATASETS.
There are different approaches to the temporal study of time evolving systems. In this paper, thi... more There are different approaches to the temporal study of time evolving systems. In this paper, this study is car- ried out by means of the comparison of time series. It is proposed as an improvement in the comparison of time series with the inclusion of qualitative knowledge. Taking into account the evolution of the values of the series, our approach uses a similarity index defined by qualitative labels. Every label represents a rank of val- ues that we may consider similar, from a qualitative per- spective. The proposed index is defined by means of the matching of qualitative labels. Let be a time series, a label is obtained with every trans- action of every two adjacent values. This label depends on the magnitude and the sign of the transaction. If ev- ery label is represented by means of a single character, then the evolution of the temporal series is translated into a string. Finally, an index of similarity of the time series is defined according to the similarity of the ob- tain...
The digital twin in health care is the dynamic digital representation of the patient’s anatomy an... more The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination with machine learning technologies, it should help doctors in therapeutic path and in minimally invasive intervention procedures. Confidentiality of medical records is a very delicate issue, therefore some anonymization process is mandatory in order to maintain patients privacy. Moreover, data availability is very limited in some health domains like lung cancer treatment. Hence, generation of synthetic data conformed to real data would solve this issue. In this paper, the use of generative adversarial networks (GAN) for the generation of synthetic data of lung cancer patients is introduced as a tool to solve this problem in the form of anonymized synthetic patients. Generated synthetic patients are validated using both statistical methods, as well as by oncologist...
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2010
Mobile phones and wireless technology and its constant evolution have, in the last years, revolut... more Mobile phones and wireless technology and its constant evolution have, in the last years, revolutionized the way in which we communicate and work. However, one of the main barriers encounter in the use of these technologies is data security. Trojan horses are ...
The use of data represented by intervals can be caused by imprecision in the input information, i... more The use of data represented by intervals can be caused by imprecision in the input information, incompleteness in patterns, discretization procedures, prior knowledge insertion or speed-up learning. All the existing support vector machine (SVM) approaches working on interval data use local kernels based on a certain distance between intervals, either by combining the interval distance with a kernel or by explicitly defining an interval kernel. This article introduces a new procedure for the linearly separable case, derived from convex ...
LECOMP is a mesh network protocol that is focused on minimizing battery consumption of nodes in a... more LECOMP is a mesh network protocol that is focused on minimizing battery consumption of nodes in a Wireless Sensor Network (WSN). This paper is a improvement of a first approach [1] which proposes a method to extend the lifetime and the reliability in a WSN balancing ...
... Javier Andréu Pérez1, Juan Antonio Álvarez2, Alejandro Fernández-Montes2, and Juan Antonio Or... more ... Javier Andréu Pérez1, Juan Antonio Álvarez2, Alejandro Fernández-Montes2, and Juan Antonio Ortega2 1 Department of Communication System, InfoLab21, Lancaster University, Lancaster, United Kingdom j.andreu@lancaster.ac.uk 2 Department of Computer Languages ...
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
... Ronda del Tamarguillo, 29. Sevilla 41006 Spain. E-mail: jose.marquez@telvent.abengoa.com.. Dr... more ... Ronda del Tamarguillo, 29. Sevilla 41006 Spain. E-mail: jose.marquez@telvent.abengoa.com.. Dr. Juan Antonio Ortega Ramírez is with the Department of Computer Systems and Languages of the University of Sevilla. Avda de la Reina Mercedes. Sevilla. 41013 Spain. . ...
The world population is rapidly aging in industrialized countries and at a growing rate. As well ... more The world population is rapidly aging in industrialized countries and at a growing rate. As well as the percentage of elderly people is constantly increasing, so related health costs are augmenting, demanding novel technological solutions that both, enhance elder daily life independence and reduce the social and economic overhead of their hospitalization. The general framework of the presented work is about technological platforms for helping elder and handicapped people in a non-intrusive manner. The research in human motion ...
THERE ARE DIFFERENT APPROACHES TO THE TEMPORAL STUDY OF TIME EVOLVING SYSTEMS. THIS PAPER REVIEWS... more THERE ARE DIFFERENT APPROACHES TO THE TEMPORAL STUDY OF TIME EVOLVING SYSTEMS. THIS PAPER REVIEWS PREVIOUS WORKS RELATED TO TIME SERIES AND IT EVALUATES THREE APPROACHES FOCUSED TO THE COMPARISON OF THESE TYPES OF SERIES. TWO APPROACHES ARE BASED ON THE PRINCIPLES OF DYNAMIC TIME WARPING ALGORITHM (DTW) AND ONE OF THEM USES QUALITATIVE REPRESENTATION BASED ON EPISODES. BOTH STRATEGIES ARE DISCUSSED AND APPLIED TO A TANK SYSTEM DIAGNOSIS AND RETRIEVAL OF REGISTERS OF PERTURBATIONS GATHERED IN A ELECTRIC DISTRIBUTION SUBSTATION. THE THIRD APPROACH USES A SIMILARITY INDEX DEFINED BY QUALITATIVE LABELS. EACH LABEL REPRESENTS A RANGE OF VALUES THAT, FROM A QUALITATIVE PERSPECTIVE, WE MAY CONSIDER SIMILAR. THIS APPROACH IS TESTED WITH TWO DATASETS.
There are different approaches to the temporal study of time evolving systems. In this paper, thi... more There are different approaches to the temporal study of time evolving systems. In this paper, this study is car- ried out by means of the comparison of time series. It is proposed as an improvement in the comparison of time series with the inclusion of qualitative knowledge. Taking into account the evolution of the values of the series, our approach uses a similarity index defined by qualitative labels. Every label represents a rank of val- ues that we may consider similar, from a qualitative per- spective. The proposed index is defined by means of the matching of qualitative labels. Let be a time series, a label is obtained with every trans- action of every two adjacent values. This label depends on the magnitude and the sign of the transaction. If ev- ery label is represented by means of a single character, then the evolution of the temporal series is translated into a string. Finally, an index of similarity of the time series is defined according to the similarity of the ob- tain...
The digital twin in health care is the dynamic digital representation of the patient’s anatomy an... more The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination with machine learning technologies, it should help doctors in therapeutic path and in minimally invasive intervention procedures. Confidentiality of medical records is a very delicate issue, therefore some anonymization process is mandatory in order to maintain patients privacy. Moreover, data availability is very limited in some health domains like lung cancer treatment. Hence, generation of synthetic data conformed to real data would solve this issue. In this paper, the use of generative adversarial networks (GAN) for the generation of synthetic data of lung cancer patients is introduced as a tool to solve this problem in the form of anonymized synthetic patients. Generated synthetic patients are validated using both statistical methods, as well as by oncologist...
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2010
Mobile phones and wireless technology and its constant evolution have, in the last years, revolut... more Mobile phones and wireless technology and its constant evolution have, in the last years, revolutionized the way in which we communicate and work. However, one of the main barriers encounter in the use of these technologies is data security. Trojan horses are ...
The use of data represented by intervals can be caused by imprecision in the input information, i... more The use of data represented by intervals can be caused by imprecision in the input information, incompleteness in patterns, discretization procedures, prior knowledge insertion or speed-up learning. All the existing support vector machine (SVM) approaches working on interval data use local kernels based on a certain distance between intervals, either by combining the interval distance with a kernel or by explicitly defining an interval kernel. This article introduces a new procedure for the linearly separable case, derived from convex ...
LECOMP is a mesh network protocol that is focused on minimizing battery consumption of nodes in a... more LECOMP is a mesh network protocol that is focused on minimizing battery consumption of nodes in a Wireless Sensor Network (WSN). This paper is a improvement of a first approach [1] which proposes a method to extend the lifetime and the reliability in a WSN balancing ...
... Javier Andréu Pérez1, Juan Antonio Álvarez2, Alejandro Fernández-Montes2, and Juan Antonio Or... more ... Javier Andréu Pérez1, Juan Antonio Álvarez2, Alejandro Fernández-Montes2, and Juan Antonio Ortega2 1 Department of Communication System, InfoLab21, Lancaster University, Lancaster, United Kingdom j.andreu@lancaster.ac.uk 2 Department of Computer Languages ...
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
... Ronda del Tamarguillo, 29. Sevilla 41006 Spain. E-mail: jose.marquez@telvent.abengoa.com.. Dr... more ... Ronda del Tamarguillo, 29. Sevilla 41006 Spain. E-mail: jose.marquez@telvent.abengoa.com.. Dr. Juan Antonio Ortega Ramírez is with the Department of Computer Systems and Languages of the University of Sevilla. Avda de la Reina Mercedes. Sevilla. 41013 Spain. . ...
The world population is rapidly aging in industrialized countries and at a growing rate. As well ... more The world population is rapidly aging in industrialized countries and at a growing rate. As well as the percentage of elderly people is constantly increasing, so related health costs are augmenting, demanding novel technological solutions that both, enhance elder daily life independence and reduce the social and economic overhead of their hospitalization. The general framework of the presented work is about technological platforms for helping elder and handicapped people in a non-intrusive manner. The research in human motion ...
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