Energy Management and Optimization for Video Decoders based on Functional-oriented Reconfiguration

In recent years, the increasing sophistication of embedded multimedia systems and wireless communication technologies has promoted a widespread utilization of video streaming applications. It has been reported in 2013 that youngsters, aged between 13 and 24, spend around 16.7 hours a week watching online video through social media, business websites, and video streaming sites. Video applications have already been blended into people daily life. Traditionally, video streaming research has focused on performance improvement, namely throughput increase and response time reduction. However, most mobile devices are battery-powered, a technology that grows at a much slower pace than either multimedia or hardware developments. Since battery developments cannot satisfy expanding power demand of mobile devices, research interests on video applications technology has attracted more attention to achieve energy-efficient designs. How to efficiently use the limited battery energy budget becomes a major research challenge. In addition, next generation video standards impel to diversification and personalization. Therefore, it is desirable to have mechanisms to implement energy optimizations with greater flexibility and scalability. In this context, the main goal of this dissertation is to find an energy management and optimization mechanism to reduce the energy consumption of video decoders based on the idea of functional-oriented reconfiguration. System battery life is prolonged as the result of a trade-off between energy consumption and video quality. Functional-oriented reconfiguration takes advantage of the similarities among standards to build video decoders reconnecting existing functional units. If a feedback channel from the decoder to the encoder is available, the former can signal the latter changes in either the encoding parameters or the encoding algorithms for energy-saving adaption. The proposed energy optimization and management mechanism is carried out at the decoder end. This mechanism consists of an energy-aware manager, implemented as an additional block of the reconfiguration engine, an energy estimator, integrated into the decoder, and, if available, a feedback channel connected to the encoder end. The energy-aware manager checks the battery level, selects the new decoder description and signals to build a new decoder to the reconfiguration engine. It is worth noting that the analysis of the energy consumption is fundamental for the success of the energy management and optimization mechanism. In this thesis, an energy estimation method driven by platform event monitoring is proposed. In addition, an event filter is suggested to automate the selection of the most appropriate events that affect the energy consumption. At last, a detailed study on the influence of the training data on the model accuracy is presented. The modeling methodology of the energy estimator has been evaluated on different underlying platforms, single-core and multi-core, with different characteristics of workload. All the results show a good accuracy and low on-line computation overhead. The required modifications on the reconfiguration engine to implement the energy-aware manager have been assessed under different scenarios. The results indicate a possibility to lengthen the battery lifetime of the system in two different use-cases.

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.

Business model for healthcare interoperability services

En la situación actual donde los sistemas TI sanitarios son diversos con modelos que van desde soluciones predominantes, adoptadas y creadas por grandes organizaciones, hasta soluciones a medida desarrolladas por cualquier empresa de la competencia para satisfacer necesidades concretas. Todos estos sistemas se encuentran bajo similares presiones financieras, no sólo de las condiciones económicas mundiales actuales y el aumento de los costes sanitarios, sino también bajo las presiones de una población que ha adoptado los avances tecnológicos actuales, y demanda una atención sanitaria más personalizable a la altura de esos avances tecnológicos que disfruta en otros ámbitos. El objeto es desarrollar un modelo de negocio orientado al soporte del intercambio de información en el ámbito clínico. El objetivo de este modelo de negocio es aumentar la competitividad dentro de este sector sin la necesidad de recurrir a expertos en estándares, proporcionando perfiles técnicos cualificados menos costosos con la ayuda de herramientas que simplifiquen el uso de los estándares de interoperabilidad. Se hará uso de especificaciones abiertas ya existentes como FHIR, que publica documentación y tutoriales bajo licencias abiertas. La principal ventaja que nos encontramos es que ésta especificación presenta un giro en la concepción actual de la disposición de información clínica, vista hasta ahora como especial por el requerimiento de estándares más complejos que solucionen cualquier caso por específico que sea. Ésta especificación permite hacer uso de la información clínica a través de tecnologías web actuales (HTTP, HTML, OAuth2, JSON, XML) que todo el mundo puede usar sin un entrenamiento particular para crear y consumir esta información. Partiendo por tanto de un mercado con una integración de la información casi inexistente, comparada con otros entornos actuales, hará que el gasto en integración clínica aumente dramáticamente, dejando atrás los desafíos técnicos cuyo gasto retrocederá a un segundo plano. El gasto se centrará en las expectativas de lo que se puede obtener en la tendencia actual de la personalización de los datos clínicos de los pacientes, con acceso a los registros de instituciones junto con datos ‘sociales/móviles/big data’.---ABSTRACT---In the current situation IT health systems are diverse, with models varying from predominant solutions adopted and created by large organizations, to ad-hoc solutions developed by any company to meet specific needs. However, all these systems are under similar financial pressures, not only from current global economic conditions and increased health care costs, but also under pressure from a population that has embraced the current technological advances, and demand a more personalized health care, up to those enjoyed by technological advances in other areas. The purpose of this thesis is to develop a business model aimed at the provision of information exchange within the clinical domain. It is intended to increase competitiveness in the health IT sector without the need for experts in standards, providing qualified technical profiles less expensively with the help of tools that simplify the use of interoperability standards. Open specifications, like FHIR, will be used in order to enable interoperability between systems. The main advantage found within FHIR is that introduces a shift in the current conception of available clinical information. So far seen, the clinical information domain IT systems, as a special requirement for more complex standards that address any specific case. This specification allows the use of clinical information through existing web technologies (HTTP, HTML, OAuth2, JSON and XML), which everyone can use with no particular training to create and consume this information. The current situation in the sector is that the integration of information is almost nonexistent, compared to current trends. Spending in IT health systems will increase dramatically within clinical integration for the next years, leaving the technical challenges whose costs will recede into the background. The investment on this area will focus on the expectations of what can be obtained in the current trend of personalization of clinical data of patients with access to records of institutions with ‘social /mobile /big data’.

Extending the expressiveness of fuzzy logic languages

En el trabajo que aquí presentamos se incluye la base teórica (sintaxis y semántica) y una implementación de un framework para codificar el razonamiento de la representación difusa o borrosa del mundo (tal y como nosotros, seres humanos, entendemos éste). El interés en la realización de éste trabajo parte de dos fuentes: eliminar la complejidad existente cuando se realiza una implementación con un lenguaje de programación de los llamados de propósito general y proporcionar una herramienta lo suficientemente inteligente para dar respuestas de forma constructiva a consultas difusas o borrosas. El framework, RFuzzy, permite codificar reglas y consultas en una sintaxis muy cercana al lenguaje natural usado por los seres humanos para expresar sus pensamientos, pero es bastante más que eso. Permite representar conceptos muy interesantes, como fuzzificaciones (funciones usadas para convertir conceptos no difusos en difusos), valores por defecto (que se usan para devolver resultados un poco menos válidos que los que devolveríamos si tuviésemos la información necesaria para calcular los más válidos), similaridad entre atributos (característica que utilizamos para buscar aquellos individuos en la base de datos con una característica similar a la buscada), sinónimos o antónimos y, además, nos permite extender el numero de conectivas y modificadores (incluyendo modificadores de negación) que podemos usar en las reglas y consultas. La personalización de la definición de conceptos difusos (muy útil para lidiar con el carácter subjetivo de los conceptos borrosos, donde nos encontramos con que cualificar a alguien de “alto” depende de la altura de la persona que cualifica) es otra de las facilidades incluida. Además, RFuzzy implementa la semántica multi-adjunta. El interés en esta reside en que introduce la posibilidad de obtener la credibilidad de una regla a partir de un conjunto de datos y una regla dada y no solo el grado de satisfacción de una regla a partir de el universo modelado en nuestro programa. De esa forma podemos obtener automáticamente la credibilidad de una regla para una determinada situación. Aún cuando la contribución teórica de la tesis es interesante en si misma, especialmente la inclusión del modificador de negacion, sus multiples usos practicos lo son también. Entre los diferentes usos que se han dado al framework destacamos el reconocimiento de emociones, el control de robots, el control granular en computacion paralela/distribuída y las busquedas difusas o borrosas en bases de datos. ABSTRACT In this work we provide a theoretical basis (syntax and semantics) and a practical implementation of a framework for encoding the reasoning and the fuzzy representation of the world (as human beings understand it). The interest for this work comes from two sources: removing the existing complexity when doing it with a general purpose programming language (one developed without focusing in providing special constructions for representing fuzzy information) and providing a tool intelligent enough to answer, in a constructive way, expressive queries over conventional data. The framework, RFuzzy, allows to encode rules and queries in a syntax very close to the natural language used by human beings to express their thoughts, but it is more than that. It allows to encode very interesting concepts, as fuzzifications (functions to easily fuzzify crisp concepts), default values (used for providing results less adequate but still valid when the information needed to provide results is missing), similarity between attributes (used to search for individuals with a characteristic similar to the one we are looking for), synonyms or antonyms and it allows to extend the number of connectives and modifiers (even negation) we can use in the rules. The personalization of the definition of fuzzy concepts (very useful for dealing with the subjective character of fuzziness, in which a concept like tall depends on the height of the person performing the query) is another of the facilities included. Besides, RFuzzy implements the multi-adjoint semantics. The interest in them is that in addition to obtaining the grade of satisfaction of a consequent from a rule, its credibility and the grade of satisfaction of the antecedents we can determine from a set of data how much credibility we must assign to a rule to model the behaviour of the set of data. So, we can determine automatically the credibility of a rule for a particular situation. Although the theoretical contribution is interesting by itself, specially the inclusion of the negation modifier, the practical usage of it is equally important. Between the different uses given to the framework we highlight emotion recognition, robocup control, granularity control in parallel/distributed computing and flexible searches in databases.

Extracting knowledge through friendsourcing: application to new financial services

Personalization has become a key factor for the success of new ICT services. However, the personal information required is not always available in a single site, but scattered in heterogeneous sources, and extracting knowledge from raw information is not an easy job. As a result, many organizations struggle to obtain knowledge on their users useful enough for their business purposes. This paper introduces a comprehensive personal data framework that opens the knowledge extraction process up to collaboration by the involvement of new actors, while enabling users to monitor and control it. The contributions have been validated in a financial services scenario where socioeconomic knowledge on some users is generated by tapping into their social network and used to assists them in raising money from their friends.

A personal data framework for exchanging knowledge about users in new financial services

Personal data is a key asset for many companies, since this is the essence in providing personalized services. Not all companies, and specifically new entrants to the markets, have the opportunity to access the data they need to run their business. In this paper, we describe a comprehensive personal data framework that allows service providers to share and exchange personal data and knowledge about users, while facilitating users to decide who can access which data and why. We analyze the challenges related to personal data collection, integration, retrieval, and identity and privacy management, and present the framework architecture that addresses them. We also include the validation of the framework in a banking scenario, where social and financial data is collected and properly combined to generate new socio-economic knowledge about users that is then used by a personal lending service.

Filtros na rede: das relações entre discurso e tecnologia

A fim de refletirmos sobre as condições de produção na contemporaneidade, propomos discussões e análises em torno do funcionamento dos recursos de personalização de conteúdos na Internet que impõem filtros aos usuários. Para isso, mobilizamos a teoria de Análise do Discurso de linha francesa, sobretudo a partir dos trabalhos de Michel Pêcheux. Delimitamos a observação do funcionamento de tais recursos no mecanismo de busca do Google, uma vez que ele representa uma das maiores corporações na Internet e detém a maior parte do mercado de buscas. A partir dessa delimitação, selecionamos o corpus de análise oriundo da política de privacidade do buscador, de definições dadas pela empresa sobre o funcionamento de tais recursos e de relatos sobre esse funcionamento postados por usuários e disseminados na rede. Acreditamos que a análise do funcionamento dessas técnicas nos dizem sobre as condições de produção do discurso na contemporaneidade, bem como das materialidades discursivas que lhes são peculiares, compreendendo que é pela influência materialista que se chega, na Análise do Discurso, a noção de materialidade discursiva. Temos, dessa forma, contemplada uma discussão sobre história, sujeito e língua que fundamenta o funcionamento da ideologia. Ainda nesse ínterim, propomos pensar o discurso ressaltando o que concerne à memória, bem como as questões que decorrem ao considerarmos seu funcionamento perpassado pelas Tecnologias de Informação e Comunicação (TIC\'s), o que nos move a refletir sobre o discurso eletrônico e a memória metálica. Tudo isso nos mostra os efeitos discursivos dos filtros que giram em torno do controle na rede, característica que tem marcado as relações de poder no cenário atual.

Modelado de estrategias de personalización en OO-H

The consideration of personalization politics in the context of any web application modelling method obliges to the revision of its different modelling activities, which must be adapted to take into account the information regarding the user (usually gathered in a user model) to define aspects such as navigation or presentation. Additionally, they must provide a set of techniques to populate such user model. Finally, and because of the rapid pace at which personalization politics usually change, the modelling process should provide support not only for static personalization rules (known at design time) but also for the definition or change of these rules once the application has been deployed. This article presents, in the context of the Object Oriented Hypermedia Method (OO-H), a personalization framework that fulfils these requirements, and is organized around four main concepts: (1) a set of design activities that capture the personalization requirements known at design time, (2) a mechanism for the specification of personalization rules, defined by means of an XML template, that decouples the definition of the personalization model from the remaining models, (3) an execution architecture that supports the change at execution time of these rules and (4) an extensible repository that includes a set of register mechanisms for the user activity in the system. The possibility of extension of this repository facilitates its adaptation to the particular characteristics of any particular application.

Modelling adaptive web applications

Conceptual Modelling approaches for the web need extensions to specify dynamic personalization properties in order to design more powerful web applications. Current approaches provide techniques to support dynamic personalization, usually focused on implementation details. This article presents an extension of the OO-H conceptual modeling approach to address the particulars associated with the design and specification of dynamic personalization. The main benefit is that this specification can be modified without recompile the rest of the application modules. We describe how conventional navigation and presentation diagrams are influenced by personalization properties. In order to model the variable part of the interface logic OO-H has a personalization architecture that leans on a rule engine. Rules are defined based on a User Model and a Reference Model.

Collaborative filtering on data streams

Collaborate Filtering is one of the most popular recommendation algorithms. Most Collaborative Filtering algorithms work with a static set of data. This paper introduces a novel approach to providing recommendations using Collaborative Filtering when user rating is received over an incoming data stream. In an incoming stream there are massive amounts of data arriving rapidly making it impossible to save all the records for later analysis. By dynamically building a decision tree for every item as data arrive, the incoming data stream is used effectively although an inevitable trade off between accuracy and amount of memory used is introduced. By adding a simple personalization step using a hierarchy of the items, it is possible to improve the predicted ratings made by each decision tree and generate recommendations in real-time. Empirical studies with the dynamically built decision trees show that the personalization step improves the overall predicted accuracy.

A rough cluster analysis of shopping orientation data

This paper describes the application of a new technique, rough clustering, to the problem of market segmentation. Rough clustering produces different solutions to k-means analysis because of the possibility of multiple cluster membership of objects. Traditional clustering methods generate extensional descriptions of groups, that show which objects are members of each cluster. Clustering techniques based on rough sets theory generate intensional descriptions, which outline the main characteristics of each cluster. In this study, a rough cluster analysis was conducted on a sample of 437 responses from a larger study of the relationship between shopping orientation (the general predisposition of consumers toward the act of shopping) and intention to purchase products via the Internet. The cluster analysis was based on five measures of shopping orientation: enjoyment, personalization, convenience, loyalty, and price. The rough clusters obtained provide interpretations of different shopping orientations present in the data without the restriction of attempting to fit each object into only one segment. Such descriptions can be an aid to marketers attempting to identify potential segments of consumers.

Reforming public services in the UK:Bringing in the third sector

In the UK, the government continues its project to reform public services. Earlier projects have focused on the modernization of public sector organizations; in the latest round of reform, New Labour has focused on widening choice and the personalization of services. To this end, the government has been working with Third Sector (TS) organizations to expand their role in shaping, commissioning and delivering public services. The government's vision is predicated on a normative assertion, that, unlike traditional public sector organizations, TS bodies create public value by being more innovative, are inspired by altruistic aims and values, and have greater commitment to their clients. This paper reviews recent policy and questions whether the government's policy is flawed, contradictory and risks damaging the attributes of the TS admired by New Labour. © 2007 The Author. Journal compilation © 2007 Blackwell Publishing Ltd.

Recent developments in information retrieval:preface

This paper summarizes the scientific work presented at the 32nd European Conference on Information Retrieval. It demonstrates that information retrieval (IR) as a research area continues to thrive with progress being made in three complementary sub-fields, namely IR theory and formal methods together with indexing and query representation issues, furthermore Web IR as a primary application area and finally research into evaluation methods and metrics. It is the combination of these areas that gives IR its solid scientific foundations. The paper also illustrates that significant progress has been made in other areas of IR. The keynote speakers addressed three such subject fields, social search engines using personalization and recommendation technologies, the renewed interest in applying natural language processing to IR, and multimedia IR as another fast-growing area.

The effects of mailing design characteristics on direct mail campaign performance

Designing effective direct mail pieces is considered a key success factor in direct marketing. However, related published empirical research is scarce while design recommendations are manifold and often conflicting. Compared with prior work, our study aims to provide more elaborate and empirically validated findings for the effects of direct mail design characteristics by analyzing 677 direct mail campaigns from non-profit organizations and financial service providers. We investigate the effects of (1) various envelope characteristics and observable cues on opening rates, and (2) characteristics of the envelope content on the keeping rates of direct mail campaigns. We show that visual design elements on the outer envelope – rather than sender-related details – are the predominant drivers of opening rates. Factors such as letter length, provision of sender information in the letter, and personalization positively influence the keeping rate. We also observe that opening and keeping rates are uncorrelated at the campaign level, implying that opening direct mail pieces is only a necessary condition for responding to offers, but not per se a driver of direct mail response.

Highly emotional States:French-US Relations and the Iraq war

Understanding the true nature of the relations between France and the United States is central to an understanding of the diplomatic crisis that broke out between them in 2003 over the War in Iraq. An analysis of the political cultures of France and the US offers considerable explanatory power to this dramatic diplomatic dispute. The inordinately emotional aspects of the Franco-US arguments of 2003 mask the fact that the two countries understand each other little. In the French case, its self-view and related diplomatic comportment in the twentieth century was informed by its relationship to Germany; and from it a range of cultural characteristics emerged, among them: vulnerability, self-regard, a romanticized view of itself, and the personalization of national identity. At the moment France’s response to its cultural heritage was beginning to shift to a different (post-Gaullist) paradigm, the dispute with the US erupted.