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Dr. Maria Teresa Signes Pont
Department of Computer Science and Technology, University of Alicante, Carr. de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain
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Representative Publications
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Journal Article
HMHiginio Mora
Higinio MoraMPMaria Teresa Signes Pont
Maria Teresa Signes Pont
David GilMJMagnus Johnsson
Magnus JohnssonThe new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing the computations and outsourcing the work from the IoT devices. This scenario opens new opportunities for designing advanced IoT-based applications, however, there is still much research to be done to properly gear all the systems for working together. This work proposes a collaborative model and an architecture to take advantage of the available computing resources. The resulting architecture involves a novel network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing (MCC) paradigm. An experiment is included to demonstrate that this approach can be used in diverse real applications. The results show the flexibility of the architecture to perform complex computational tasks of advanced applications.
1 February 2017 in Computers and Electrical Engineering
Journal Article
JCJosé Francisco Colom
José Francisco Colom
HMHiginio Mora
Higinio MoraDavid GilMPMaria Teresa Signes Pont
Maria Teresa Signes PontJournal Article
MPMaria Teresa Signes Pont
Maria Teresa Signes PontJCJosé Juan Cortés-Plana
José Juan Cortés-PlanaJBJoan Boters-Pitarch
Joan Boters-PitarchHMHiginio Mora
Higinio MoraThe population decline of small villages is a very serious problem for our society. This situation is not easy to reverse. The challenge is to generate consensus among the inhabitants of small villages to develop projects that have both a link with social and cultural heritage and the aid of the regional and local authorities. This framework can be successful when it also has the capability to provide new lines of development growing from this initial seed that can attract new inhabitants. In this paper, we present research that follows these requirements. Our proposal is based on a traditional agriculture resource, which is the art of building dry stone walls. We study the case of Tàrbena (642 inhabitants in the province of Alicante, Spain). Stone artifacts are recovered: some of them are still useful for agriculture, and others are cataloged and transformed into a product for cultural tourism. This project is expected to develop local, manual, and specialized work through the development of workshops, crafts, and small businesses. This will provide more income for the municipality and the private sector and more opportunities to attract new inhabitants.
Journal Article
MPMaria Teresa Signes Pont
Maria Teresa Signes PontJPJose Juan Cortes Plana
Jose Juan Cortes PlanaHMHiginio Mora
Higinio MoraThis paper presents a discrete compartmental Susceptible–Exposed–Infected–Recovered/Dead (SEIR/D) model to address the expansion of Covid-19. This model is based on a grid. As time passes, the status of the cells updates by means of binary rules following a neighborhood and a delay pattern. This model has already been analyzed in previous works and successfully compared with the corresponding continuous models solved by ordinary differential equations (ODE), with the intention of finding the homologous parameters between both approaches. Thus, it has been possible to prove that the combination neighborhood-update rule is responsible for the rate of expansion and recovering/death of the disease. The delays (between Susceptible and Asymptomatic, Asymptomatic and Infected, Infected and Recovered/Dead) may have a crucial impact on both height and timing of the peak of Infected and the Recovery/Death rate. This theoretical model has been successfully tested in the case of the dissemination of information through mobile social networks and in the case of plant pests.
1 October 2014 in International Journal of Knowledge Society Research
Journal Article
HMHiginio Mora
Higinio MoraMPMaria Teresa Signes Pont
Maria Teresa Signes PontGCGregorio De Miguel Casado
Gregorio De Miguel Casado
New technologies have transformed teaching processes and enabled new ways of study and learning. In these activities, it is suspected that the students don't make good use of new available technologies or, in the best case, they are underused. The analysis of this issue with the design of strategies to correct any defects found is the motivation that supports the development of this work and the main purpose of it. Evaluate information search habits used by the student and analyse their deduct synthesis and processing capabilities of the results found. The researchers of this study are university teachers of first year subjects, which allows them to know the information search performances by students.
8 September 2016 in Cognitive Computation
Journal Article
MPMaria Teresa Signes Pont
Maria Teresa Signes PontHMHiginio Mora Mora
Higinio Mora Mora
JGJuan Manuel García-Chamizo
Juan Manuel García-ChamizoAbout Me
The modeling processes of natural phenomena and the aspects derived from them, such as the operational proposal, are topics dominated by Dr. Signes-Pont as a result of her research career, which began with her PhD in 2005 within the research group Industrial Informatics and Computer Networks (I2RC) of the University of Alicante (parametric model of architectures for the generation of computational primitives (available at https://rua.ua.es/dspace/bitstream/10045/13264/1/Signes-Pont-Maria-Teresa.pdf). These concepts have been widely worked, giving rise to numerous publications and communications to congresses. Dr. Signes-Pont is currently working on modeling the propagation/expansion processes in a discrete space-time frame (grid), with binary update rules following certain neighborhood patterns. It has tackled the spread of malware on mobile devices of information on social networks and has currently expanded the field of application to the spread of plant pests, specifically X. fastidiosa in almond trees. She has collaborated on numerous national and regional research projects and is co-author of
an invention patent and an innovative software component. He has more than 60 publications in high-impact journals and has presented numerous communications at international conferences. Currently, she is the director of two doctoral theses and a TFM related to expansion models, of which two are related to X. fastidiosa.