VirtualECare: group decision supported by idea generation and argumentation

In the last years there has been a considerable increase in the number of people in need of intensive care, especially among the elderly, a phenomenon that is related to population ageing (Brown 2003). However, this is not exclusive of the elderly, as diseases as obesity, diabetes, and blood pressure have been increasing among young adults (Ford and Capewell 2007). As a new fact, it has to be dealt with by the healthcare sector, and particularly by the public one. Thus, the importance of finding new and cost effective ways for healthcare delivery are of particular importance, especially when the patients are not to be detached from their environments (WHO 2004). Following this line of thinking, a VirtualECare Multiagent System is presented in section 2, being our efforts centered on its Group Decision modules (Costa, Neves et al. 2007) (Camarinha-Matos and Afsarmanesh 2001).On the other hand, there has been a growing interest in combining the technological advances in the information society - computing, telecommunications and knowledge – in order to create new methodologies for problem solving, namely those that convey on Group Decision Support Systems (GDSS), based on agent perception. Indeed, the new economy, along with increased competition in today’s complex business environments, takes the companies to seek complementarities, in order to increase competitiveness and reduce risks. Under these scenarios, planning takes a major role in a company life cycle. However, effective planning depends on the generation and analysis of ideas (innovative or not) and, as a result, the idea generation and management processes are crucial. Our objective is to apply the GDSS referred to above to a new area. We believe that the use of GDSS in the healthcare arena will allow professionals to achieve better results in the analysis of one’s Electronically Clinical Profile (ECP). This attainment is vital, regarding the incoming to the market of new drugs and medical practices, which compete in the use of limited resources.

IGTAI - an Idea Generation Tool for Ambient Inteligence

Today, business group decision making is an extremely important activity. A considerable number of applications and research have been made in the past years in order to increase the effectiveness of decision making process. In order to support the idea generation process, IGTAI (Idea Generation Tool for Ambient Intelligence) prototype was created. IGTAI is a Group Decision Support System designed to support any kind of meetings namely distributed, asynchronous or face to face. It aims at helping geographically distributed (or not) people and organizations in the idea generation task, by making use of pervasive hardware in a meeting room, expanding the meeting beyond the room walls by allowing a ubiquitous access through different kinds of equipment. This paper focus on the research made to build IGTAI prototype, its architecture and its main functionalities, namely the support given in the different phases of the idea generation meeting.

Identity – towards a conceptualization

The development of economical relations increases the interaction between organizations and stakeholders. It is no more acceptable to manage an organization under a transactional perspective where suppliers had a fundamental role. Nowadays organizations are being managed under a relational perspective where relations and relationship management in general have consequences in identity management (Hakansson e Snehota, 1989, 1995). A correct perception and management of identity is necessary to achieve distinctiveness in the competitive environment. This way, identity is influenced by relations with stakeholders in general and particularly with competitors. The ICIG concept states that identity is related with the values of the organization and it helps creating distinctiveness in the competitive environment (Van Riel, Balmer, 1997); Baker and Balmer (1997) state that identity is what the organization is; Suvatjis and de Chernatony (2005) refer that expressing identity is a dynamic process that evolves the use of a management model to face context changes; Kapferer (1991) states that brand identity is the project, the self conception of the brand. After reviewing and confronting literature under the plethora of identities’ concepts and perspectives (He, Balmer, 2007) one can’t find an integrative answer with all the elements that contribute to identity of organizations. The authors are strongly interested to contribute to the elimination of this limitation and to answer to strategic management needs. In a marketing context one can find: - the corporate identity approach that is focused in the distinctive attributes of an organization (Abratt, Balmer, Marwick e Fill, Stuart, Balmer and Gray, Alessandri, Suvatjis and de Chernatony) - the brand identity approach (related with the application of corporate identity studies to brands) - Kapferer, Semprini, Aaker, de Chernatony). Kapferer (1991), one of the most prolific authors in this field was the first author to integrate identity in a brand concept. In his view, identity is an emission concept. This idea is shared also by Aaker (1996). Yet, identity has to be managed in a competitive environment which is constantly changing. After reviewing and confronting literature, authors select concepts that are generally accepted by the investigators in order to design a model to analyze and manage identity: - corporate identity models: personality, image/reputation, culture, philosophy, mission, strategy, structure, communication - some of these concepts derive from identity models and others from identity management models; - brand identity models – Kapferer (1991, 2008) identity prism, witch is basis of literature in this field: culture, physical facet, personality, relationship (between brand and consumer), reflected consumer, consumers` self-concept. After discussion authors decide to include other concept in line with other authors` view: country of origin (Aaker, 1996). A discussion eliminates the twin concepts and the final selection is as follows: personality, image/reputation, culture (including philosophy and mission), strategy, structure, communication, culture, physical facet, relationship (between brand and consumer), reflected consumer, consumers` self-concept and according to authors` reflections “relationships” deriving from competitors` actions in competitive environment. Competitors’ actions and decisions have a stronger influence in the organizations` positioning than any other stakeholder as stated before. This is a work in progress towards a new model in identity analysis and management so an exploratory study will follow inquiring experts on identity in order to evaluate these concepts and correct the theoretical perspectives.

A preliminary idea for an 8-competitive, log2 DMAX + log2 log2 1/U asymptotic-space, interface generation algorithm for two-level hierarchical scheduling of constrained-deadline sporadic tasks on a uniprocessor

Consider a single processor and a software system. The software system comprises components and interfaces where each component has an associated interface and each component comprises a set of constrained-deadline sporadic tasks. A scheduling algorithm (called global scheduler) determines at each instant which component is active. The active component uses another scheduling algorithm (called local scheduler) to determine which task is selected for execution on the processor. The interface of a component makes certain information about a component visible to other components; the interfaces of all components are used for schedulability analysis. We address the problem of generating an interface for a component based on the tasks inside the component. We desire to (i) incur only a small loss in schedulability analysis due to the interface and (ii) ensure that the amount of space (counted in bits) of the interface is small; this is because such an interface hides as much details of the component as possible. We present an algorithm for generating such an interface.

Armazéns de dados em bases de dados NoSQL

Na atualidade, existe uma quantidade de dados criados diariamente que ultrapassam em muito as mais otimistas espectativas estabelecidas na década anterior. Estes dados têm origens bastante diversas e apresentam-se sobre várias formas. Este novo conceito que dá pelo nome de Big Data está a colocar novos e rebuscados desafios ao seu armazenamento, tratamento e manipulação. Os tradicionais sistemas de armazenamento não se apresentam como a solução indicada para este problema. Estes desafios são alguns dos mais analisados e dissertados temas informáticos do momento. Várias tecnologias têm emergido com esta nova era, das quais se salienta um novo paradigma de armazenamento, o movimento NoSQL. Esta nova filosofia de armazenamento visa responder às necessidades de armazenamento e processamento destes volumosos e heterogéneos dados. Os armazéns de dados são um dos componentes mais importantes do âmbito Business Intelligence e são, maioritariamente, utilizados como uma ferramenta de apoio aos processos de tomada decisão, levados a cabo no dia-a-dia de uma organização. A sua componente histórica implica que grandes volumes de dados sejam armazenados, tratados e analisados tendo por base os seus repositórios. Algumas organizações começam a ter problemas para gerir e armazenar estes grandes volumes de informação. Esse facto deve-se, em grande parte, à estrutura de armazenamento que lhes serve de base. Os sistemas de gestão de bases de dados relacionais são, há algumas décadas, considerados como o método primordial de armazenamento de informação num armazém de dados. De facto, estes sistemas começam a não se mostrar capazes de armazenar e gerir os dados operacionais das organizações, sendo consequentemente cada vez menos recomendada a sua utilização em armazéns de dados. É intrinsecamente interessante o pensamento de que as bases de dados relacionais começam a perder a luta contra o volume de dados, numa altura em que um novo paradigma de armazenamento surge, exatamente com o intuito de dominar o grande volume inerente aos dados Big Data. Ainda é mais interessante o pensamento de que, possivelmente, estes novos sistemas NoSQL podem trazer vantagens para o mundo dos armazéns de dados. Assim, neste trabalho de mestrado, irá ser estudada a viabilidade e as implicações da adoção de bases de dados NoSQL, no contexto de armazéns de dados, em comparação com a abordagem tradicional, implementada sobre sistemas relacionais. Para alcançar esta tarefa, vários estudos foram operados tendo por base o sistema relacional SQL Server 2014 e os sistemas NoSQL, MongoDB e Cassandra. Várias etapas do processo de desenho e implementação de um armazém de dados foram comparadas entre os três sistemas, sendo que três armazéns de dados distintos foram criados tendo por base cada um dos sistemas. Toda a investigação realizada neste trabalho culmina no confronto da performance de consultas, realizadas nos três sistemas.