Papers by Sergio Alvarez-Napagao
Worldwide, sewer networks are designed to transport wastewater to a centralized treatment plant t... more Worldwide, sewer networks are designed to transport wastewater to a centralized treatment plant to be treated and returned to the environment. This is a critical process for preventing waterborne illnesses, providing safe drinking water and enhancing general sanitation in society. To keep a perfectly operational sewer network several inspections are manually performed by a Closed-Circuit Television system to report the obstruction level which may trigger a cleaning operative. In this work, we design a methodology to train a Convolutional Neural Network (CNN) for identifying the level of obstruction in pipes. We gathered a database of videos to generate useful frames to fed into the model. Our resulting classifier obtains deployment ready performances. To validate the consistency of the approach and its industrial applicability, we integrate the Layer-wise Relevance Propagation (LPR) algorithm, which endows a further understanding of the neural network behavior. The proposed system provides higher speed, accuracy, and consistency in the sewer process examination. ď€
arXiv (Cornell University), Jun 9, 2020
This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. ... more This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. as on May 31 2020. COVID-19 has largely impacted on our societies through both direct and indirect effects transmitted by the policy measures to counter the spread of viruses. We quantitatively analysed the multifaceted impacts of the COVID-19 pandemic on our societies including people's mobility, health, and social behaviour changes.
As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restri... more As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among these countries, resulting in extensive social and economic costs. To better understand the situation in a quantitative manner, we analyzed the OpenSky Network data to clarify flight patterns and flight densities around the world. Then we observed relationships between flight numbers with new infection cases and the economy (the unemployment rate) in Barcelona. We found that the number of daily flights gradually decreased and then suddenly dropped 64% during the second half of March in 2020 after the United States and Europe enacted travel restrictions. We also observed a 51% decrease in the global flight network density decreased during this period. Regarding new COVID-19 cases, the United States had an unexpected surge regardless of travel restrictions. Finally, the layoffs for temporary workers in the tourism and airplane business increased by 4.3 fold in the weeks following Spain's decision to close its borders.
Journal of Medical Systems, 2015
Assistive Technologies (AT) are an application area where several Artificial Intelligence techniq... more Assistive Technologies (AT) are an application area where several Artificial Intelligence techniques and tools have been successfully applied to support elderly or impeded people on their daily activities. However, approaches to AT tend to center in the user-tool interaction, neglecting the user's connection with its social environment (such as caretakers, relatives and health professionals) and the possibility to monitor undesired behaviour providing both adaptation to a dynamic environment and early response to potentially dangerous situations. In previous work we have presented COAALAS, an intelligent social and norm-aware device for elderly people that is able to autonomously organize, reorganize and interact with the different actors involved in elderly-care, either human actors This article is part of the Topical Collection on Patient Facing Systems
The term Smart City is tipically applied to urban and metropolitan areas where Information and Co... more The term Smart City is tipically applied to urban and metropolitan areas where Information and Communication Technologies provide ways to enable social, cultural and urban development, improving social and political capacities and/or efficiency. In this paper we will show the potential of Artificial Intelligence techniques for augmenting ICT solutions to both increase the cities competiveness but also the active participation of citizens in those processes, making Smart Cities smarter. As example we will describe the usage of Artificial Intellgence techniques to provide Smart Mobility in the context of the SUPERHUB Project.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009
There is a large body of research on software services, but the issues of communication and dynam... more There is a large body of research on software services, but the issues of communication and dynamic reconfiguration have received little attention, as have adaptation to environment and dynamic combination of service building blocks into new applications. Here, we present the approach of the FP7 ALIVE project to the use of formal models of coordination and organisation mechanisms to deliver a flexible, high-level means to describe the structure of interactions between services in the environment. Our aim is to create a framework for services engineering for "live" open systems of active services. We propose to build on the current activities in service-oriented engineering by defining three levels: (i) An organisational level models the organisational structure of executing and interlinked services and the context around them. (ii) A coordination level provides flexible ways to model interaction between the services. (iii) These two levels connect with existing (semantic) Web services, which contain semantic descriptions to make components aware of their social context and of the rules of engagement with other services.
We implemented two auction frameworks in 3-APL in order to test its capabilities. We provide some... more We implemented two auction frameworks in 3-APL in order to test its capabilities. We provide some criticism, including concerning the IDE, the parser, the lack of more sophisticated data structures. We conclude that experience has been quite good, and we think that, as it is noted before, 3-APL could be a great language for BDI agents if this kind of problems were solved.
In this paper we propose a system for the recommendation of tagged pictures obtained from the Web... more In this paper we propose a system for the recommendation of tagged pictures obtained from the Web. The system, driven by user feedback, executes an abductive reasoning (based on WordNet synset semantic relations) that is able to iteratively lead to new concepts which progressively represent the cognitive creative user state. Furthermore we design a selection mechanism to pick the most relevant abductive inferences by mixing a topological graph analysis together with a semantic similitude measure.
Semiotics is a field where research on Computer Science methodologies has focused, mainly concern... more Semiotics is a field where research on Computer Science methodologies has focused, mainly concerning Syntax and Semantics. These methodologies, however, are lacking of some flexibility for the continuously evolving web community, in which the knowledge is classified with tags rather than with ontologies. In this paper we propose a multi-agent system for the recommendation of tagged pictures obtained from mainstream Web applications. The agents in this system execute a hybrid reasoning based on WordNet ...
The capability of a computational system to deal with unexpected, changing situations and limited... more The capability of a computational system to deal with unexpected, changing situations and limited perception of the environment is becoming more a more relevant, in oder to make systems flexible and more reliable. Multi-agent Systems offer a computing paradigm where properties such as autonomy, adaptability or flexibility are basic in the construction of agent-based solutions. However most of current implementations are not flexible enough to cope with important changes in the environment or information loss. In this paper we propose to ...
VII Workshop on Agents Applied in Health Care, A2HC 2012, 2012
Non-compliance with prescribed medications is a major problem for elder people living alone in de... more Non-compliance with prescribed medications is a major problem for elder people living alone in developed countries. Forgetfulness and confusion can lead to it, specially when multiple pathologies require a cocktail of different medications each delivered at different time intervals during different periods of time. Assistive technologies, a recent application area for a wide range of Artificial Intelligence techniques and tools, have been effectively used for supporting people in their daily activities. This paper introduces ...
Society of situated agents for adaptable eldercare
Assistive technologies are applied to support people in their daily life. Most approaches focus s... more Assistive technologies are applied to support people in their daily life. Most approaches focus solely on the direct interaction between users–in our case, disabled patients-and the assistive tool, but Artificial Intelligence (AI) has the potential to provide innovative mechanisms and methods capable of taking into account more complex interactions. For instance, such an approach can take into account the important role that third parties may have in user activities, and explicitly reflect the social constraints that apply in the ...
Journal of Experimental & Theoretical Artificial Intelligence, 2015
Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio... more Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These networks collect data from users in such a way that they can be seen as a set of collective and distributed sensors of a geographical area. A low rate sampling of user's location information can be obtained during large intervals of time that can be used to discover complex patterns, including mobility profiles, points of interest or unusual events. These patterns can be used as the elements of a knowledge base for different applications in different domains like mobility route planning, touristic recommendation systems or city planning. The aim of this paper is twofold, first to analyze the frequent spatio-temporal patterns that users share when living and visiting a city. This behavior is studied by means of frequent itemsets algorithms in order to establish some associations among visits that can be interpreted as interesting routes or spatio-temporal connections. Second, to analyze how the spatio-temporal behavior of a large number of users can be segmented in different profiles. These behavioral profiles are obtained by means of clustering algorithms that show the different patterns of behavior of visitors and citizens. The data analyzed was obtained from the public data feeds of Twitter and Instagram within an area surrounding the cities of Barcelona and Milan for a period of several months. The analysis of these data shows that these kind of algorithms can be successfully applied to data from any city (or general area) to discover useful patterns that can be interpreted on terms of singular places and areas and their temporal relationships.
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Papers by Sergio Alvarez-Napagao