Diseño, Especificación, Validación y Aplicación de una Arquitectura modular de gestión de Redes Inalámbricas de Sensores

Durante los últimos años las redes de sensores inalámbricas han sido objeto, como consecuencia de un creciente interés comercial, de una intensa actividad de investigación que ha determinado relevantes avances tanto en la tecnología base como en los aspectos de ingeniería a todos los niveles. Las redes de sensores inalámbricas se basan en el concepto de nodo sensor autónomo de bajo coste que proporciona recursos limitados en términos de cálculo y capacidad de almacenamiento de información, baja potencia de transmisión y sensorica avanzada. Se caracterizan por el tamaño extremadamente reducido y una ingeniería orientada a la eficiencia energética. A pesar de la disponibilidad de soluciones altamente avanzadas, caracterizadas por la eficiencia y la flexibilidad, la difusión comercial masiva se ha planteado más veces como hipótesis plausible y además parece tardar en concretarse de forma definitiva. Las principales causas están relacionadas, directamente o indirectamente, con dos factores: coste elevado y falta de suficiente fiabilidad/robustez. Una de las consecuencias del desarrollo de arquitecturas "ad-hoc" que caracteriza actualmente las redes de sensores inalámbricas es la de garantizar una gran cantidad de óptimos locales siendo la causa principal de una preocupante ausencia de estándares tanto en términos de protocolos de comunicación como en términos de organización y representación de información. También nuevos modelos de negocio y de explotación dentro de las organizaciones virtuales de última generación son actualmente temas de atención en el seno de la comunidad científica internacional. Este trabajo se sitúa en el marco de las últimas líneas de investigación orientadas a conciliar soluciones avanzadas, caracterizadas por una ingeniería innovadora, con su aplicación efectiva en el mundo realPileggi ., SF. (2011). Diseño, Especificación, Validación y Aplicación de una Arquitectura modular de gestión de Redes Inalámbricas de Sensores [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/10740Palanci

A Semantic layer for Embedded Sensor Networks

Sensor Networks progressively assumed the critical role of bridges between the real world and information systems, through always more consolidated and efficient sensor technologies that enable advanced heterogeneous sensor grids. Sensor data is commonly used by advanced systems and intelligent applications in order to archive complex goals. Processes that build high-level knowledge from sensor data are commonly considered as the key core concept. This paper proposes a semantic layer that would optimally support the knowledge building in sensor systems as well as it enables semantic interaction model at different levels (module, subsystem, system). The semantic layer proposed in the paper is currently used by several architectures and applications in the context of different domains.Pileggi, SF.; Fernández Llatas, C.; Traver Salcedo, V. (2011). A Semantic layer for Embedded Sensor Networks. ARPN Journal of Systems and Software. 1(3):101-107. http://hdl.handle.net/10251/63174S1011071

An Alignment-Based Implementation of a Holistic Ontology Integration Method

Despite the intense research activity in the last two decades, ontology integration still presents a number of challenging issues. As ontologies are continuously growing in number, complexity and size and are adopted within open distributed systems such as the Semantic Web, integration becomes a central problem and has to be addressed in a context of increasing scale and heterogeneity. In this paper, we describe a holistic alignment-based method for customized ontology integration. The holistic approach proposes additional challenges as multiple ontologies are jointly integrated at once, in contrast to most common approaches that perform an incremental pairwise ontology integration. By applying consolidated techniques for ontology matching, we investigate the impact on the resulting ontology. The proposed method takes multiple ontologies as well as pairwise alignments and returns a refactored/non-refactored integrated ontology that faithfully preserves the original knowledge of the input ontologies and alignments. We have tested the method on large biomedical ontologies from the LargeBio OAEI track. Results show effectiveness, and overall, a decreased integration cost over multiple ontologies.•OIAR and AROM are two implementations of the proposed method.•OIAR creates a bridge ontology, and AROM creates a fully merged ontology.•The implementation includes the option of ontology refactoring

IndShaker: A Knowledge-Based Approach to Enhance Multi-Perspective System Dynamics Analysis

Decision making as a result of system dynamics analysis requires, in practice, a straightforward and systematic modeling capability as well as a high-level of customization and flexibility to adapt to situations and environments that may vary very much from each other. While in general terms a completely generic approach could be not as effective as ad hoc solutions, the proper application of modern technology may facilitate agile strategies as a result of a smart combination of qualitative and quantitative aspects. In order to address such complexity, we propose a knowledge-based approach that integrates the systematic computation of heterogeneous criteria with open semantics. The holistic understanding of the framework is described by a reference architecture and the proof-of-concept prototype developed can support high-level system analysis, as well as being suitable within a number of applications contexts—i.e., as a research/educational tool, communication framework, gamification and participatory modeling. Additionally, the knowledge-based philosophy, developed upon Semantic Web technology, increases the capability in terms of holistic knowledge building and re-use via interoperability. Last but not least, the framework is designed to constantly evolve in the next future, for instance by incorporating more advanced AI-powered features

Towards semantic resources in the cloud

During the past years, the cloud vision at distributed systems progressively became the new trend for the next generation platforms. The advance in the technology, both with the broadband availability and the explosion of mobile computing, make the massive migration to cloud solution next to be a fact. The Cloud model assures a new technologic and business environment for services and applications where competitiveness, scalability and sustainability converge. On the other hand, next generation applications have to be able to pervasively meet the needs and requirements deeply different among them. Applications involving complex virtual organizations require a higher level of flexibility. An effective approach is based on the convergence between migration and virtualization. The resource-centric model assumes file systems, DBs, services and any other class of resources available in the "cloud" as Virtual Resources. These heterogeneous resources can be managed in a unique virtual context regardless by the infrastructures on which they are deployed. Semantics play a critical role in order to assure advanced and open solutions in a technologic context featured by a fundamental lack of standardization.Pileggi, SF.; Fernández Llatas, C. (2013). Towards semantic resources in the cloud. En Agents and Artificial Intelligence. Springer Verlag (Germany). 407-416. doi:10.1007/978-3-642-36907-0S40741

Social Networks in Crisis Management: A Literature Review to Address the Criticality of the Challenge

This review proposes a concise literature review aimed at identifying the current body of knowledge on the adoption of Social Networks in crisis management. The major input is a structured research question based on the initial reading about the topic. Before the recent pandemic, most literature focused on local crises, with relatively few exceptions. Additionally, self-organising systems are spontaneously established between people who are affected by a crisis. The fundamental assumption underlying this study is the huge potential of Social Networks in the field of crisis management. That is supported, directly or indirectly, by a number of previous studies, which emphasise how effective adoption leads to better decision-making for crisis managers and local communities. Among the identified challenges is the need to integrate official communication by emergency agencies with citizen-generated content in a contest for credibility and trustworthiness. In certain cases, it has been reported that there is a lack of specific competence, knowledge, and expertise, as well as a lack of sufficient policies and guidelines for the use of Social Networks. Those challenges need to be framed by considering the classic difficulties of providing timely and accurate information to deal with fake news, unverified or misleading information, and information overload. Bridging major gaps through advanced analytics and AI-based technology is expected to provide a key contribution to establishing and safely enabling the practice of effective and efficient communication. This technology can help contrast dissonant mental models, which are often fostered by Social Networks, and enable shared situational awareness. Future research may take a closer look at AI technology and its impact on the role of Social Networks in managing crises

Ambient Assisted Living Spaces Validation by Services and Devices Simulation

The design of Ambient Assisted Living (AAL) products is a very demanding challenge. AAL products creation is a complex iterative process which must accomplish exhaustive prerequisites about accessibility and usability. In this process the early detection of errors is crucial to create cost-effective systems. Computer-assisted tools can suppose a vital help to usability designers in order to avoid design errors. Specifically computer simulation of products in AAL environments can be used in all the design phases to support the validation. In this paper, a computer simulation tool for supporting usability designers in the creation of innovative AAL products is presented. This application will benefit their work saving time and improving the final system functionality