Entornos de ayuda a la vida independiente de personas mayores sobre servicios de redes de próxima generación

El progresivo envejecimiento de la población está produciendo una elevada demanda de servicios socio‐asistenciales por parte de las personas mayores para mantener su vida independiente y el consiguiente “envejecimiento activo”. La iniciativa Ambient Assisted Living (AAL) promueve el “envejecimiento activo” a través de las Tecnologías de la Información y las Comunicaciones (TIC) y es en ella donde se centrará el trabajo de esta tesis doctoral. Una característica fundamental de los servicios AAL es su adaptación y personalización a las características y preferencias del usuario y su contexto. Así, el paradigma “context awareness” presenta una gran relevancia en la provisión de servicios AAL y en el soporte a la vida independiente de las personas mayores. Concretamente, la utilización de ontologías permite crear modelos de usuarios y contexto que pueden ser utilizadas para los mecanismos de razonamiento incluidos en los servicios context‐aware. Por otra parte, los usuarios actualmente precisan acceder a un conjunto de servicios desde cualquier red de acceso y desde cualquier dispositivo. Las redes de próxima generación (Next Generation Networks‐NGN) lo hacen posible pues ofrecen una convergencia dispositivo‐red‐servicio. La tecnología IMS (IP Multimedia Subsystem) es una arquitectura que implementa el paradigma NGN y ofrece una serie de servicios de red genéricos llamados servicios habilitadores o enablers que pueden ser reutilizados en cualquier aplicación, soportando mecanismos de interoperabilidad entre aplicaciones y permitiendo un desarrollo robusto, rápido y sencillo. Además, los servicios enablers permiten mecanismos de gestión de la información de usuario para realizar una provisión adaptada del servicio en función de la información del estado del usuario. El objetivo de esta tesis doctoral se centra en establecer un marco de convergencia entre estos dos campos diseñando y desarrollando un conjunto de servicios enablers soportados en una arquitectura IMS implementada para soportar la provisión de aplicaciones AAL bajo el paradigma context‐awareness y la triple convergencia reddispositivo‐ servicio cubriendo así las necesidades y requisitos de las personas mayores. Entre las aportaciones de la presente tesis se destaca la realización de un modelo de plataforma servicios AAL, denominado Residencia Virtual Asistiva, para su provisión en el domicilio de la persona mayor, así como la propuesta de implementación de sus servicios a través de servicios enablers. Por otra parte se define una ontología destinada a modelar servicios AAL así como sus usuarios (personas mayores) para lograr una provisión personalizada y adaptada de servicios AAL. Esta ontología se ha implementado a través del servicio de presencia de la arquitectura IMS para poder crear perfiles de usuario y así poder realizar dicha provisión personalizada. Además, se desarrolla una aplicación de teleconsulta, como ejemplo de servicio AAL, que utiliza una serie de servicios enablers desarrollados para ofrecer funcionalidades avanzadas a la aplicación. Bajo el paradigma contex‐awareness se ha desarrollado y evaluado técnicamente un servicio enabler para ofrecer soporte a la movilidad y a la independencia de las personas mayores con deterioro cognitivo que sufren episodios de desorientación espacial. ABSTRACT The progressive ageing of the population is making elderly people demand sociohealthcare services to maintain an independent living and therefore an “active ageing”. The initiative Ambient Assisted Living (AAL), on which the current PhD thesis is focused, promotes the “active ageing” by means of Information and Communication Technologies (ICT). Essential features of AAL services are the adaptation and personalization to the user’s characteristics and preferences as well as user’s context. Thus, the “context‐awareness” paradigm implies a great importance in the AAL service provision and the elderly independent living support. In particular, the usage of ontologies allows creating user and contexts models to be employed in the reasoning mechanism of context‐aware services. On the other hand, users currently require accessing to a set of services from anywhere and any device. Next‐Generation Networks (NGN) support this need by offering a service‐network‐device convergence. The IP Multimedia Subsystem (IMS) technology is an architecture that implements the NGN paradigm and offers a generic network services know as service enabler which can be reused by any application supporting application interoperability mechanism as well as allowing a simple, fast and robust application development. Furthermore, the service enablers offer user’s information management procedures to achieve and adapt service provision considering the user’s status. The objective of this PhD thesis is focused on establishing a convergence framework between these two previous fields by designing and developing a group of service enablers that will be deployed in an IMS architecture. The enablers developed will support the AAL applications provision from the context‐awareness paradigm and service‐network‐device convergence in order to cover the elderly people’s requirements and needs. Among the contributions achieved in this PhD thesis, the definition of an AAL platform service model, named as “Assited Virtual Nursing Home”, for being deployed in the older adult home is emphasised. In addition, a proposal of service enablers to support the AAL service defined in the model is made. Otherwise, an ontology is defined to model AAL services as well as their users with the aim at achieve a personalized and adapted AAL service. This ontology has been implemented by means of the IMS service presence in order to create users profiles to be used in the personalized AAL services. As an example of AAL service, a teleconsulting application has been developed to employ a group of service enablers developed using a set of advanced functionalities. Considering the context‐paradigm, a service enabler has been developed and technologically evaluated to support the mobility and independence of elderly people with mild cognitive impairment who suffers spatial disorientation episodes.

A sharing-based approach to supporting adaptation in service compositions

Data-related properties of the activities involved in a service composition can be used to facilitate several design-time and run-time adaptation tasks, such as service evolution, distributed enactment, and instance-level adaptation. A number of these properties can be expressed using a notion of sharing. We present an approach for automated inference of data properties based on sharing analysis, which is able to handle service compositions with complex control structures, involving loops and sub-workflows. The properties inferred can include data dependencies, information content, domain-defined attributes, privacy or confidentiality levels, among others. The analysis produces characterizations of the data and the activities in the composition in terms of minimal and maximal sharing, which can then be used to verify compliance of potential adaptation actions, or as supporting information in their generation. This sharing analysis approach can be used both at design time and at run time. In the latter case, the results of analysis can be refined using the composition traces (execution logs) at the point of execution, in order to support run-time adaptation.

Personalisation of intelligent homecare services adapted to children with motor impairments

Ambient Intelligence could support innovative application domains like motor impairments' detection at the home environment. This research aims to prevent neurodevelopmental disorders through the natural interaction of the children with embedded intelligence daily life objects, like home furniture and toys. Designed system uses an interoperable platform to provide two intelligent interrelated home healthcare services: monitoring of children¿s abilities and completion of early stimulation activities. A set of sensors, which are embedded within the rooms, toys and furniture, allows private data gathering about the child's interaction with the environment. This information feeds a reasoning subsystem, which encloses an ontology of neurodevelopment items, and adapts the service to the age and acquisition of expected abilities. Next, the platform proposes customized stimulation services by taking advantage of the existing facilities at the child's environment. The result integrates Embedded Sensor Systems for Health at Mälardalen University with UPM Smart Home, for adapted services delivery.

Design and technical evaluation of an enhanced location-awareness service enabler for spatial disorientation management of elderly with mild cognitive impairment

The progressive ageing of population has turned the mild cognitive impairment (MCI) into a prevalent disease suffered by elderly. Consequently, the spatial disorientation has become a significant problem for older people and their caregivers. The ambient-assisted living applications are offering location-based services for empowering elderly to go outside and encouraging a greater independence. Therefore, this paper describes the design and technical evaluation of a location-awareness service enabler aimed at supporting and managing probable wandering situations of a person with MCI. Through the presence capabilities of the IP multimedia subsystem (IMS) architecture, the service will alert patient's contacts if a hazardous situation is detected depending on his location. Furthermore, information about the older person's security areas has been included in the user profile managed by IMS. In doing so, the service enabler introduced contribute to “context-awareness” paradigm allowing the adaptation and personalization of services depending on user's context and specific conditions or preferences.

Inter-organizational information systems adoption for service innovation in building sector

The building sector has experienced a significant decline in recent years in Spain and Europe as a result of the financial crisis that began in 2007. This drop accompanies a low penetration of information and communication technologies in inter-organizational oriented business processes. The market decrease is causing a slowdown in the building sector, where only flexible small and medium enterprises (SMEs) survive thanks to specialization and innovation in services, which allow them to face new market demands. Inter-organizational information systems (IOISs) support innovation in services, and are thus a strategic tool for SMEs to obtain competitive advantage. Because of the inherent complexity of IOIS adoption, this research extends Kurnia and Johnston's (2000) theoretical model of IOIS adoption with an empirical model of IOIS characterization. The resultant model identifies the factors influencing IOIS adoption in SMEs in the building sector, to promote further service innovation for competitive and collaborative advantages. An empirical longitudinal study over six consecutive years using data from Spanish SMEs in the building sector validates the model, using the partial least squares technique and analyzing temporal stability. The main findings of this research are the four ways an IOIS might contribute to service innovation in the building sector. Namely: a) improving client interfaces and the link between service providers and end users; b) defining a specific market where SMEs can develop new service concepts; c) enhancing the service delivery system in traditional customer?supplier relationships; and d) introducing information and communication technologies and tools to improve information management.

Service capacity reserve under uncertainty by hospital's ER's analogies: a practical model for car services

El objetivo de esta investigación consiste en definir un modelo de reserva de capacidad, por analogías con emergencias hospitalarias, que pueda ser implementado en el sector de servicios. Este está específicamente enfocado a su aplicación en talleres de servicio de automóviles. Nuestra investigación incorpora la incertidumbre de la demanda en un modelo singular diseñado en etapas que agrupa técnicas ARIMA, teoría de colas y simulación Monte Carlo para definir los conceptos de capacidad y ocupación de servicio, que serán utilizados para minimizar el coste implícito de la reserva capacidad necesaria para atender a clientes que carecen de cita previa. Habitualmente, las compañías automovilísticas estiman la capacidad de sus instalaciones de servicio empíricamente, pero los clientes pueden llegar bajo condiciones de incertidumbre que no se tienen en cuenta en dichas estimaciones, por lo que existe una diferencia entre lo que el cliente realmente demanda y la capacidad que ofrece el servicio. Nuestro enfoque define una metodología válida para el sector automovilístico que cubre la ausencia genérica de investigaciones recientes y la habitual falta de aplicación de técnicas estadísticas en el sector. La equivalencia con la gestión de urgencias hospitalarias se ha validado a lo largo de la investigación en la se definen nuevos indicadores de proceso (KPIs) Tal y como hacen los hospitales, aplicamos modelos estocásticos para dimensionar las instalaciones de servicio de acuerdo con la distribución demográfica del área de influencia. El modelo final propuesto integra la predicción del coste implícito en la reserva de capacidad para atender la demanda no prevista. Asimismo, se ha desarrollado un código en Matlab que puede integrarse como un módulo adicional a los sistemas de información (DMS) que se usan actualmente en el sector, con el fin de emplear los nuevos indicadores de proceso definidos en el modelo. Los resultados principales del modelo son nuevos indicadores de servicio, tales como la capacidad, ocupación y coste de reserva de capacidad, que nunca antes han sido objeto de estudio en la industria automovilística, y que están orientados a gestionar la operativa del servicio. ABSTRACT Our aim is to define a Capacity Reserve model to be implemented in the service sector by hospital's emergency room (ER) analogies, with a practical approach to passenger car services. A stochastic model has been implemented using R and a Monte Carlo simulation code written in Matlab and has proved a very useful tool for optimal decision making under uncertainty. The research integrates demand uncertainty in a unique model which is built in stages by implementing ARIMA forecasting, Queuing Theory and a Monte Carlo simulation to define the concepts of service capacity and occupancy, minimizing the implicit cost of the capacity that must be reserved to service unexpected customers. Usually, passenger car companies estimate their service facilities capacity using empirical methods, but customers arrive under uncertain conditions not included in the estimations. Thus, there is a gap between customer’s real demand and the dealer’s capacity. This research sets a valid methodology for the passenger car industry to cover the generic absence of recent researches and the generic lack of statistical techniques implementation. The hospital’s emergency room (ER) equalization has been confirmed to be valid for the passenger car industry and new process indicators have been defined to support the study. As hospitals do, we aim to apply stochastic models to dimension installations according to the demographic distribution of the area to be serviced. The proposed model integrates the prediction of the cost implicit in the reserve capacity to serve unexpected demand. The Matlab code could be implemented as part of the existing information technology systems (ITs) to support the existing service management tools, creating a set of new process indicators. Main model outputs are new indicators, such us Capacity, Occupancy and Cost of Capacity Reserve, never studied in the passenger car service industry before, and intended to manage the service operation.