ICCSA 2022

Producción CientíficaThe process of economic, social, and cultural development leads to relevant changes in urban areas. Urban transformations usually generate a series of public and private real estate compounds which constitute real obstacles to urban walkability. The growing attention towards the sustainable development goals established on a global scale introduced new contents in urban redevelopment policies, aimed at favoring higher levels of accessibility in the consolidated fabric, particularly that of the pedestrian type. In addition, the recent pandemic has recently reassessed the role of pedestrian mobility as a primary way of moving instead of using other means of transport. As a result, urban walkability has moved at the core of the sustainable city paradigm. More precisely, issues related to accessibility and walkability should be considered when addressing the obstacle generated by those sites that can be properly defined ‘urban enclaves’, especially when abandoned or under redevelopment. These conditions may encourage the gradual reopening of these areas for citizens. Within this framework, the Sustainable Urban Mobility Plan (SUMP) can represent a strategic tool for identifying the critical aspects to face for the creation of a new network of pedestrian routes aimed at improving urban walkability. The objective of this study is to define a set of principles and criteria, both tangible and intangible, for calculating the proximity index (PI). The PI may consequently drive urban regeneration projects also through the design of new paths for crossing the enclaves to improve urban permeability and, therefore, the level of walkabilitySardinia Foundation (CUP F74I19001040007

Legacy code support for production grids

In order to improve reliability and to deal with the high complexity of existing middleware solutions, today's production Grid systems restrict the services to be deployed on their resources. On the other hand end-users require a wide range of value added services to fully utilize these resources. This paper describes a solution how legacy code support is offered as third party service for production Grids. The introduced solution, based on the Grid Execution Management for Legacy Code Architecture (GEMLCA), do not require the deployment of additional applications on the Grid resources, or any extra effort from Grid system administrators. The implemented solution was successfully connected to and demonstrated on the UK National Grid Service. © 2005 IEEE

An improved Ant Colony System for the Sequential Ordering Problem

It is not rare that the performance of one metaheuristic algorithm can be improved by incorporating ideas taken from another. In this article we present how Simulated Annealing (SA) can be used to improve the efficiency of the Ant Colony System (ACS) and Enhanced ACS when solving the Sequential Ordering Problem (SOP). Moreover, we show how the very same ideas can be applied to improve the convergence of a dedicated local search, i.e. the SOP-3-exchange algorithm. A statistical analysis of the proposed algorithms both in terms of finding suitable parameter values and the quality of the generated solutions is presented based on a series of computational experiments conducted on SOP instances from the well-known TSPLIB and SOPLIB2006 repositories. The proposed ACS-SA and EACS-SA algorithms often generate solutions of better quality than the ACS and EACS, respectively. Moreover, the EACS-SA algorithm combined with the proposed SOP-3-exchange-SA local search was able to find 10 new best solutions for the SOP instances from the SOPLIB2006 repository, thus improving the state-of-the-art results as known from the literature. Overall, the best known or improved solutions were found in 41 out of 48 cases.Comment: 30 pages, 8 tables, 11 figure

A deep learning approach for automatically generating descriptions of images containing people

Generating image descriptions is a challenging Artificial Intelligence problem with many interesting applications such as robots’ communication or helping visually impaired people. However, it is a complex task for computers: it requires Computer Vision algorithms, to understand what the image depicts, and Natural Language Processing algorithms, to generate a well-formed sentence. Nowadays, deep neural networks are the state-of-the-art in these two Artificial Intelligence fields. Furthermore, we believe that images that contain people are described in a slightly different manner and that restricting an image description generator model to these images may produce better descriptions. Therefore, the main objective of this project is to develop a Deep Learning model that automatically produces descriptions of images containing people and to conclude if it is a good practice the restriction to this kind of images. For this purpose, we have reviewed and studied the literature in the field and we have built, trained and compared four different models using Deep Learning techniques and a GPU to speed-up the computation, as well as a big and complete dataset

Group trust in distributed systems and its relationship with information security and cyber security

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Ingeniería del Software e Inteligencia Artificial, leída el 15-01-2016This thesis describes aspects regarding trust, reputation, information security and cyber security as connected subjects. It is the belief of this research that without trust it is not possible to address security in computational systems properly. One fundamental aspect is to use information systems or to rely on them. One must trust the technology involved and consequently the entire system, without even knowing it in the rst place. Due to human characteristics, there is the tendency to trust that systems will keep our data secure. However, one basic problem is that trust and reputation deals with subjective evaluations. In many situations, information systems nowadays have distributed support. It means that there are a lot of parts that connect everything together, which is unknown to the ordinary users. Depending on the technology, it is even unknown to systems administrators when it comes to for example clusters, cloud and peer-to-peer systems. Considering the rst area of research - trust - from the perspective of this work, a group trust model for distributed systems is presented as an extension applied to conventional trust and reputation mechanisms, extension developed considering groups, which is herein de ned as a collection of entities with particular a nities and capabilities. Broadening this perspective, the formation of groups is very common, but very few trust and reputation models studied deal with trust in the perspective of a collection of entities with common a nities. Thus, group trust is a way of representing the set of trust and reputation of their particular members. One aspect to be aware of is the fact that this set has pre-de ned activities and common objectives....This thesis describes aspects regarding trust, reputation, information security and cyber security as connected subjects. It is the belief of this research that without trust it is not possible to address security in computational systems properly. One fundamental aspect is to use information systems or to rely on them. One must trust the technology involved and consequently the entire system, without even knowing it in the rst place. Due to human characteristics, there is the tendency to trust that systems will keep our data secure. However, one basic problem is that trust and reputation deals with subjective evaluations. In many situations, information systems nowadays have distributed support. It means that there are a lot of parts that connect everything together, which is unknown to the ordinary users. Depending on the technology, it is even unknown to systems administrators when it comes to for example clusters, cloud and peer-to-peer systems. Considering the rst area of research - trust - from the perspective of this work, a group trust model for distributed systems is presented as an extension applied to conventional trust and reputation mechanisms, extension developed considering groups, which is herein de ned as a collection of entities with particular a nities and capabilities. Broadening this perspective, the formation of groups is very common, but very few trust and reputation models studied deal with trust in the perspective of a collection of entities with common a nities. Thus, group trust is a way of representing the set of trust and reputation of their particular members. One aspect to be aware of is the fact that this set has pre-de ned activities and common objectives....Depto. de Ingeniería de Software e Inteligencia Artificial (ISIA)Fac. de InformáticaTRUEunpu