Providing location everywhere

The ability to locate an individual is an essential part of many applications, specially the mobile ones. Obtaining this location in an open environment is relatively simple through GPS (Global Positioning System), but indoors or even in dense environments this type of location system doesn't provide a good accuracy. There are already systems that try to suppress these limitations, but most of them need the existence of a structured environment to work. Since Inertial Navigation Systems (INS) try to suppress the need of a structured environment we propose an INS based on Micro Electrical Mechanical Systems (MEMS) that is capable of, in real time, compute the position of an individual everywhere.

Safety high accuracy Context-Aware Matrix (CAM) making based on X.509 proxy certificate

Human Computer Interaction (HCl) is to interaction between computers and each person. And context-aware (CA) is very important one of HCI composition. In particular, if there are sequential or continuous tasks between users and devices, among users, and among devices etc, it is important to decide the next action using right CA. And to take perfect decision we have to get together all CA into a structure. We define that structure is Context-Aware Matrix (CAM) in this article. However to make exact decision is too hard for some problems like low accuracy, overhead and bad context by attacker etc. Many researcher has been studying to solve these problems. Moreover, still it has weak point HCI using in safety. In this Article, we propose CAM making include best selecting Server in each area. As a result, moving users could be taken the best way.

Context-aware emotion-based model for group decision making

Involving groups in important management processes such as decision making has several advantages. By discussing and combining ideas, counter ideas, critical opinions, identified constraints, and alternatives, a group of individuals can test potentially better solutions, sometimes in the form of new products, services, and plans. In the past few decades, operations research, AI, and computer science have had tremendous success creating software systems that can achieve optimal solutions, even for complex problems. The only drawback is that people don���t always agree with these solutions. Sometimes this dissatisfaction is due to an incorrect parameterization of the problem. Nevertheless, the reasons people don���t like a solution might not be quantifiable, because those reasons are often based on aspects such as emotion, mood, and personality. At the same time, monolithic individual decisionsupport systems centered on optimizing solutions are being replaced by collaborative systems and group decision-support systems (GDSSs) that focus more on establishing connections between people in organizations. These systems follow a kind of social paradigm. Combining both optimization- and socialcentered approaches is a topic of current research. However, even if such a hybrid approach can be developed, it will still miss an essential point: the emotional nature of group participants in decision-making tasks. We���ve developed a context-aware emotion based model to design intelligent agents for group decision-making processes. To evaluate this model, we���ve incorporated it in an agent-based simulator called ABS4GD (Agent-Based Simulation for Group Decision), which we developed. This multiagent simulator considers emotion- and argument based factors while supporting group decision-making processes. Experiments show that agents endowed with emotional awareness achieve agreements more quickly than those without such awareness. Hence, participant agents that integrate emotional factors in their judgments can be more successful because, in exchanging arguments with other agents, they consider the emotional nature of group decision making.

An emotional and context-aware model for adapting RSS news to users and groups

The exhibition of information does not always attend to the preferences and characteristics of the users, nor the context that involves the user. With the aim of overcoming this gap, we propose an emotional context-aware model for adapting information contents to users and groups. The proposed model is based on OCC and Big Five models to handle emotion and personality respectively. The idea is to adapt the representation of the information in order to maximize the positive emotional valences and minimize the negatives. To evaluate the proposed model it was developed a prototype for adapting RSS news to users and group of users.

Ubiquitous ambient intelligence in a flight decision assistance system

In this paper a new free flight instrument is presented. The instrument named FlyMaster distinguishes from others not only at hardware level, since it is the first one based on a PDA and with an RF interface for wireless sensors, but also at software level once its structure was developed following some guidelines from Ambient Intelligence and ubiquitous and context aware mobile computing. In this sense the software has several features which avoid pilot intervention during flight. Basically, the FlyMaster adequate the displayed information to each flight situation. Furthermore, the FlyMaster has its one way of show information.

Derivative-free nonlinear optimization filter simplex

The filter method is a technique for solving nonlinear programming problems. The filter algorithm has two phases in each iteration. The first one reduces a measure of infeasibility, while in the second the objective function value is reduced. In real optimization problems, usually the objective function is not differentiable or its derivatives are unknown. In these cases it becomes essential to use optimization methods where the calculation of the derivatives or the verification of their existence is not necessary: direct search methods or derivative-free methods are examples of such techniques. In this work we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of simplex and filter methods. This method neither computes nor approximates derivatives, penalty constants or Lagrange multipliers.

Processamento de imagem para determina����o de distribui����es granulom��tricas de gotas numa suspens��o

Mestrado em Engenharia Electrot��cnica e de Computadores

Facebook vs moodle : Surveying university students on the use of learning management systems to support learning activities outside the classroom

CISTI'2015 - 10�� Confer��ncia Ib��rica de Sistemas e Tecnologias de Informa����o, 17 a 20 de junho de 2015, ��gueda, Aveiro, Portugal.

Descoberta de conhecimento em Logs de tentativas de intrus��o. Um estudo de caso em Institui����es de Ensino Superior

Perante a evolu����o constante da Internet, a sua utiliza����o �� quase obrigat��ria. Atrav��s da web, �� poss��vel conferir extractos banc��rios, fazer compras em pa��ses long��nquos, pagar servi��os sem sair de casa, entre muitos outros. H�� in��meras alternativas de utiliza����o desta rede. Ao se tornar t��o ��til e pr��xima das pessoas, estas come��aram tamb��m a ganhar mais conhecimentos inform��ticos. Na Internet, est��o tamb��m publicados v��rios guias para intrus��o il��cita em sistemas, assim como manuais para outras pr��ticas criminosas. Este tipo de informa����o, aliado �� crescente capacidade inform��tica do utilizador, teve como resultado uma altera����o nos paradigmas de seguran��a inform��tica actual. Actualmente, em seguran��a inform��tica a preocupa����o com o hardware �� menor, sendo o principal objectivo a salvaguarda dos dados e continuidade dos servi��os. Isto deve-se fundamentalmente �� depend��ncia das organiza����es nos seus dados digitais e, cada vez mais, dos servi��os que disponibilizam online. Dada a mudan��a dos perigos e do que se pretende proteger, tamb��m os mecanismos de seguran��a devem ser alterados. Torna-se necess��rio conhecer o atacante, podendo prever o que o motiva e o que pretende atacar. Neste contexto, prop��s-se a implementa����o de sistemas de registo de tentativas de acesso il��citas em cinco institui����es de ensino superior e posterior an��lise da informa����o recolhida com aux��lio de t��cnicas de data mining (minera����o de dados). Esta solu����o �� pouco utilizada com este intuito em investiga����o, pelo que foi necess��rio procurar analogias com outras ��reas de aplica����o para recolher documenta����o relevante para a sua implementa����o. A solu����o resultante revelou-se eficaz, tendo levado ao desenvolvimento de uma aplica����o de fus��o de logs das aplica����es Honeyd e Snort (respons��vel tamb��m pelo seu tratamento, prepara����o e disponibiliza����o num ficheiro Comma Separated Values (CSV), acrescentando conhecimento sobre o que se pode obter estatisticamente e revelando caracter��sticas ��teis e previamente desconhecidas dos atacantes. Este conhecimento pode ser utilizado por um administrador de sistemas para melhorar o desempenho dos seus mecanismos de seguran��a, tais como firewalls e Intrusion Detection Systems (IDS).

Implementa����o de um sistema seguro, robusto e redundante

Um dos temas mais debatidos na sociedade actual �� a seguran��a. Os n��veis de seguran��a e as ferramentas para os alcan��ar entram em contraponto com os m��todos usados para os quebrar. Como no passado, a raz��o qualidade/servi��o mant��m-se hoje, e manter-se-�� no futuro, assegurando maior seguran��a ��queles que melhor se protejam. Problemas simples da vida real como furtos ou uso de falsa identidade assumem no meio inform��tico uma forma r��pida e por vezes indetect��vel de crime organizado. Neste estudo s��o investigados m��todos sociais e aplica����es inform��ticas comuns para quebrar a seguran��a de um sistema inform��tico gen��rico. Desta forma, e havendo um entendimento sobre o Modus Operandi das entidades mal-intencionadas, poder�� comprovar-se a instabilidade e inseguran��a de um sistema inform��tico, e, posteriormente, actuar sobre o mesmo de tal forma que fique colocado numa posi����o da seguran��a que, podendo n��o ser infal��vel, poder�� estar muito melhorada. Um dos objectivos fulcrais deste trabalho �� conseguir implementar e configurar um sistema completo atrav��s de um estudo de solu����es de mercado, gratuitas ou comerciais, a n��vel da implementa����o de um sistema em rede com todos os servi��os comuns instalados, i.e., um pacote ���chave na m��o��� com servi��os de m��quinas, sistema operativo, aplica����es, funcionamento em rede com servi��os de correio electr��nico, gest��o empresarial, anti-v��rus, firewall, entre outros. Ser�� poss��vel ent��o evidenciar uma inst��ncia de um sistema funcional, seguro e com os servi��os necess��rios a um sistema actual, sem recurso a terceiros, e sujeito a um conjunto de testes que contribuem para o refor��o da seguran��a.

Dependent component analysis: a hyperspectral unmixing algorithm

Linear unmixing decomposes a hyperspectral image into a collection of reflectance spectra of the materials present in the scene, called endmember signatures, and the corresponding abundance fractions at each pixel in a spatial area of interest. This paper introduces a new unmixing method, called Dependent Component Analysis (DECA), which overcomes the limitations of unmixing methods based on Independent Component Analysis (ICA) and on geometrical properties of hyperspectral data. DECA models the abundance fractions as mixtures of Dirichlet densities, thus enforcing the constraints on abundance fractions imposed by the acquisition process, namely non-negativity and constant sum. The mixing matrix is inferred by a generalized expectation-maximization (GEM) type algorithm. The performance of the method is illustrated using simulated and real data.

Signal Subspace Identification in Hyperspectral Linear Mixtures

Chpater in Book Proceedings with Peer Review Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part II

Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?

Chapter in Book Proceedings with Peer Review First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, JUne 4-6, 2003. Proceedings

Vertex component analysis: a fast algorithm to extract endmembers spectra from hyperspectral data

Chapter in Book Proceedings with Peer Review First Iberian Conference, IbPRIA 2003, Puerto de Andratx, Mallorca, Spain, JUne 4-6, 2003. Proceedings

BIT: Biosignal Igniter Toolkit

The study of biosignals has had a transforming role in multiple aspects of our society, which go well beyond the health sciences domains to which they were traditionally associated with. While biomedical engineering is a classical discipline where the topic is amply covered, today biosignals are a matter of interest for students, researchers and hobbyists in areas including computer science, informatics, electrical engineering, among others. Regardless of the context, the use of biosignals in experimental activities and practical projects is heavily bounded by the cost, and limited access to adequate support materials. In this paper we present an accessible, albeit versatile toolkit, composed of low-cost hardware and software, which was created to reinforce the engagement of different people in the field of biosignals. The hardware consists of a modular wireless biosignal acquisition system that can be used to support classroom activities, interface with other devices, or perform rapid prototyping of end-user applications. The software comprehends a set of programming APIs, a biosignal processing toolbox, and a framework for real time data acquisition and postprocessing. (C) 2014 Elsevier Ireland Ltd. All rights reserved.