Fuzzy logic-based approximate event notification in sparse MANETs

Mobile Ad-Hoc Networks (MANETs) are an important communication infrastructure to support emergency and rescue operations. To address the frequent disconnections and network partitions that might occur, we have developed a distributed event notification service (DENS) for sparse MANETs. In most event notification solutions, subscriptions are formed with crisp values or crisp value ranges. However, in emergency and rescue operations subscribers may not always have time to give crisp values or crisp value ranges. Moreover, subscriber's interests in queries have gradual nature and subjective measure that calls for computing by words. Therefore, we design and implement a simple fuzzy concept based subscription language allowing more expressive subscriptions and more sophisticated event-filtering. It is built on two new ideas: using features as multi-attribute indexes of the subscription and predicate patterns for processing subscriptions with arbitrary Boolean operators. However, requiring more computational efforts, fuzzy logic introduces performance penalties in the whole network. The proposed services have been evaluated for run-time, space and scalability efficiency. The proposed design framework is extensible to the user- and application-semantics and configurable to the dynamics in data that publish/subscribe paradigm imposes at runtime

The potential of robotics for the development and wellbeing of children with disabilities as we see it

BACKGROUND: Rapid technological development has been opening new possibilities for children with disabilities. In particular, robots can enable and create new opportunities in therapy, rehabilitation, education, or leisure. OBJECTIVE: The aim of this article is to share experiences, challenges and learned lessons by the authors, all of them with experience conducting research in the field of robotics for children with disabilities, and to propose future directions for research and development. METHODS: The article is the result of several consensus meetings to establish future research priorities in this field. RESULTS: Robots have a huge potential to support children with disabilities: they can play the role of a play buddy, of a mediator when interacting with other children or adults, they can promote social interaction, and transfer children from the role of a spectator of the surrounding world to the role of an active participant. To fulfill their potential, robots have to be 'smart', stable and reliable, easy to use and program, and give the just-right amount of support adapted to the needs of the child. Interdisciplinary collaboration combined with user centered design is necessary to make robotic applications successful. Furthermore, real-life contexts to test and implement robotic interventions are essential to refine them according to real needs. CONCLUSIONS: This article outlines a research agenda for the future of robotics in childcare and supports the establishment of R4C - Robots for Children, a network of experts aimed at sharing ideas, promoting innovative research, and developing good practices on the use of robots for children with disabilities.info:eu-repo/semantics/publishedVersio

Cyber-Physical Systems for Pedagogical Rehabilitation from an Inclusive Education Perspective

The paper presents a linear control system framework for design of technology-based games for pedagogical rehabilitation of children with special learning needs as a central component of the proposed cyber-physical system for inclusive education. The novelty is in explicitly addressing the issue of quantitatively estimating the improvement of games in the desired direction during the design process. An advantage of the proposed approach is its applicability to small groups of children playing diverse sets of games without loss of generalisability of the linear system’s model assumptions. Statistically justified experimental results are reported as providing support to the main hypotheses of the present study

Artificial intelligence within the interplay between natural and artificial computation:Advances in data science, trends and applications

Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in artificial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general.BMS - Pfizer(U01 AG024904). Spanish Ministry of Science, projects: TIN2017-85827-P, RTI2018-098913-B-I00, PSI2015-65848-R, PGC2018-098813-B-C31, PGC2018-098813-B-C32, RTI2018-101114-B-I, TIN2017-90135-R, RTI2018-098743-B-I00 and RTI2018-094645-B-I00; the FPU program (FPU15/06512, FPU17/04154) and Juan de la Cierva (FJCI-2017–33022). Autonomous Government of Andalusia (Spain) projects: UMA18-FEDERJA-084. Consellería de Cultura, Educación e Ordenación Universitaria of Galicia: ED431C2017/12, accreditation 2016–2019, ED431G/08, ED431C2018/29, Comunidad de Madrid, Y2018/EMT-5062 and grant ED431F2018/02. PPMI – a public – private partnership – is funded by The Michael J. Fox Foundation for Parkinson’s Research and funding partners, including Abbott, Biogen Idec, F. Hoffman-La Roche Ltd., GE Healthcare, Genentech and Pfizer Inc

Exploiting Mobile Ad Hoc Networking and Knowledge Generation to Achieve Ambient Intelligence

Ambient Intelligence (AmI) joins together the fields of ubiquitous computing and communications, context awareness, and intelligent user interfaces. Energy, fault-tolerance, and mobility are newly added dimensions of AmI. Within the context of AmI the concept of mobile ad hoc networks (MANETs) for "anytime and anywhere" is likely to play larger roles in the future in which people are surrounded and supported by small context-aware, cooperative, and nonobtrusive devices that will aid our everyday life. The connection between knowledge generation and communication ad hoc networking is symbiotic-knowledge generation utilizes ad hoc networking to perform their communication needs, and MANETs will utilize the knowledge generation to enhance their network services. The contribution of the present study is a distributed evolving fuzzy modeling framework (EFMF) to observe and categorize relationships and activities in the user and application level and based on that social context to take intelligent decisions about MANETs service management. EFMF employs unsupervised online one-pass fuzzy clustering method to recognize nodes' mobility context from social scenario traces and ubiquitously learn "friends" and "strangers" indirectly and anonymously

A Fuzzy Shell for Developing an Interpretable BCI Based on the Spatiotemporal Dynamics of the Evoked Oscillations

Researchers in neuroscience computing experience difficulties when they try to carry out neuroanalysis in practice or when they need to design an explainable brain-computer interface (BCI) with quick setup and minimal training phase. There is a need of interpretable computational intelligence techniques and new brain states decoding for more understandable interpretation of the sensory, cognitive, and motor brain processing. We propose a general-purpose fuzzy software system shell for developing a custom EEG BCI system. It relies on the bursts of the ongoing EEG frequency power synchronization/desynchronization at scalp level and supports quick BCI setup by linguistic features, ad hoc fuzzy membership construction, explainable IF-THEN rules, and the concept of the Internet of Things (IoT), which makes the BCI system device and service independent. It has a potential for designing both passive and event-related BCIs with options for visual representation at scalp-source level in response to time. The feasibility of the proposed system has been proven by real experiments and bursts for β and γ frequency power have been detected in real time in response to evoked visuospatial selective attention. The presence of the proposed new brain state decoding can be used as a feasible metric for interpretation of the spatiotemporal dynamics of the passive or evoked neural oscillations

Enhancing Brain Health and Cognitive Development Through Sensorimotor Play in Virtual Reality: Uncovering the Neural Correlates: https://www.doi.org/10.24140/ijgsi.v2.n1.03

Brain health is a critical part of well-being because it is a foundation for the ability to communicate, make decisions and solve real-life problems. Virtual reality games involve motor and sensory activities that can help to improve brain connectivity by providing an immersive and interactive experience that engages multiple brain regions simultaneously. Reinforcing sensorimotor activities influences cognitive skills and improves brain health. Sensorimotor play in virtual reality is a relatively new concept that is gaining attention as a tool for promoting brain health and cognitive abilities. It is believed that this type of play can have positive impact on brain health and cognitive function, such as improving memory, enhancing focus, and reducing stress and anxiety. The aims of the current paper are (1) – to present evidence, based on neuro correlates, of the importance of the sensorimotor play to the brain health and (2) – to propose a conceptual model for a personalized VR game design using neurocognitive feedback obtained through Brain-Computer Interface that assesses brain areas during sensorimotor stimulation.A saúde do cérebro é uma parte essencial do bem-estar, porque é a base da capacidade de comunicar, tomar decisões e resolver problemas da vida real. Os jogos de realidade virtual envolvem actividades motoras e sensoriais que podem ajudar a melhorar a conetividade cerebral, proporcionando uma experiência imersiva e interactiva que envolve várias regiões do cérebro em simultâneo. O reforço das actividades sensório-motoras influencia as competências cognitivas e melhora a saúde do cérebro. O jogo sensório-motor em realidade virtual é um conceito relativamente novo que está a ganhar atenção como ferramenta para promover a saúde do cérebro e as capacidades cognitivas. Acredita-se que este tipo de jogo pode ter um impacto positivo na saúde do cérebro e na função cognitiva, como a melhoria da memória, o aumento da concentração e a redução do stress e da ansiedade. Os objectivos do presente artigo são (1) - apresentar evidências, baseadas em correlatos neurológicos, da importância do jogo sensório-motor para a saúde do cérebro e (2) - propor um modelo concetual para o design de um jogo de RV personalizado utilizando o feedback neurocognitivo obtido através da Interface Cérebro-Computador que avalia as áreas cerebrais durante a estimulação sensório-motora

Fuzzy Logic-Based Event Notification in Sparse MANETs

In the Ad-Hoc InfoWare project, we develop a delay tolerant event notification service for sparse Mobile Ad-Hoc Networks for emergency and rescue operations. In most event notification solutions, subscriptions are formed with crisp values or crisp value ranges. Filtering mechanisms do not take into account more expressive subscriptions in terms of approximate predicates and complex aggregating relations among them. However, in emergency scenarios subscribers ’ interests often have gradual nature and subjective measure. Therefore, we design an intelligent event notification system allowing uncertainties to be modeled and complex matching semantics to be processed by fuzzy reasoning. Requiring more computational efforts, fuzzy logic introduces performance penalties in the whole network. We have developed a new subscription data structure and filtering algorithms, and evaluated and optimized it for runtime and space efficiency