Sistema de ilumina����o eficiente utilizando a tecnologia LED para espa��os p��blicos interiores

Disserta����o para obten����o do Grau de Mestre em Engenharia Electrot��cnica e de Computadores

Sistema de business intelligence aplicado aos grupos de diagn��stico homog��neos

Disserta����o apresentada como requisito parcial para obten����o do grau de Mestre em Estat��stica e Gest��o de Informa����o

Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment

Disserta����o apresentada para obten����o do Grau de Mestre em Engenharia Electrot��cnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ci��ncias e Tecnologia

Implementa����o de uma solu����o open source de Business Intelligence com metodologia ��gil

A import��ncia dos sistemas de data warehousing e business intelligence �� cada vez mais pronunciada, no sentido de dotar as organiza����es com a capacidade de guardar, explorar e produzir informa����o de valor acrescido para os seus processos de tomada de decis��o. Esta realidade �� claramente aplic��vel aos sectores da administra����o p��blica portuguesa e, muito em particular, aos organismos com responsabilidades centrais no Minist��rio da Sa��de. No caso dos Servi��os Partilhados do Minist��rio da Sa��de (SPMS), que tem como miss��o prover o SNS de sistemas centrais de business intelligence, o apelo dos seus clientes, para que possam contar com capacidades anal��ticas nos seus sistemas centrais, tem sido sentido de forma muito acentuada. Todavia, �� not��rio que, tanto os custos, como a complexidade, de grande parte destes projetos t��m representado uma s��ria amea��a �� sua ado����o e sucesso. Por um lado, a administra����o p��blica tem recebido um forte encorajamento para integrar e adotar solu����es de natureza open source (modelo de licenciamento gratuito), para os seus projetos de sistemas de informa����o. Por outro lado, temos vindo a assistir a uma vaga de aceita����o generalizada de novas metodologias de desenvolvimento de projetos inform��ticos, nomeadamente no que diz respeito ��s metodologias Ag��is, que se assumem como mais flex��veis, menos formais e com maior grau de sucesso. No sentido de averiguar da aplicabilidade do open source e das metodologias ��geis aos sistemas de business intelligence, este trabalho documenta a implementa����o de um projeto organizacional para a SPMS, com recurso a ferramentas open source de licenciamento gratuito e atrav��s de uma metodologia de desenvolvimento de natureza ��gil.

Business Intelligence para apoio �� gest��o das listas de inscritos para cirurgia em Portugal continental

Em Portugal Continental a problem��tica das listas de inscritos para cirurgia e os seus tempos de espera s��o mat��rias que preocupam a sociedade portuguesa desde o in��cio da d��cada de noventa, do s��culo XX. Atualmente as ferramentas de business intelligence ganham cada vez maior import��ncia nas organiza����es inseridas num contexto mais complexo, competitivo e que exige respostas r��pidas, adequadas e em constante mudan��a. O projeto desenvolvido consiste na implementa����o de uma aplica����o de business intelligence, na Unidade Central de Gest��o de Inscritos para Cirurgia, sedeada na Administra����o Central do Sistema de Sa��de, I.P., que apoie a gest��o das listas de inscritos para cirurgia de forma mais atempada, com maior qualidade e rigor, e com benef��cios inquestion��veis para os utentes. Este projeto visa a monitoriza����o de indicadores basilares; melhoria do controlo do desempenho dos hospitais; compara����o entre os valores estabelecidos para determinados indicadores e os desvios verificados; simula����o do impacto de algumas medidas, na lista de inscritos para cirurgia, antes da sua implementa����o; e facultar informa����o que permita adequar, a todo o momento, a oferta �� procura, em determinadas patologias cir��rgicas. Os objetivos do projeto, definidos �� priori, foram concretizados na sua totalidade, tendo sido a aplica����o conclu��da com sucesso. Sugere-se, como a����es futuras, acrescer novos indicadores e mais dimens��es de an��lise �� aplica����o desenvolvida no ��mbito deste projeto, alargando a capacidade de an��lise da Unidade Central de Gest��o de Inscritos para Cirurgia, com inerente aumento da sua compet��ncia de gest��o da Lista de Inscritos para Cirurgia em Portugal Continental.

Policing and planning child and adolescent neuropsychiatry : the reform process in Bologna 2009-2014

Desde a aprova����o do plano de sa��de mental regional em It��lia ... o Departamento Local de Sa��de Mental e Perturba����es aditivas em Bolonha, tem desenvolvido um projeto de reforma cujo objectivo �� inovar o sistema de sa��de mental local. ...ABSTRACT: Since the Regional mental health plan 2009-2011 was approved in Italy the Department of Mental Health and addictions of the Bologna local health trust developed as a laboratory aimed at innovating the mental health systen locally. ...

Using an LED as a sensor and visible light communication device in a smart illumination system

The need for more efficient illumination systems has led to the proliferation of Solid-State Lighting (SSL) systems, which offer optimized power consumption. SSL systems are comprised of LED devices which are intrinsically fast devices and permit very fast light modulation. This, along with the congestion of the radio frequency spectrum has paved the path for the emergence of Visible Light Communication (VLC) systems. VLC uses free space to convey information by using light modulation. Notwithstanding, as VLC systems proliferate and cost competitiveness ensues, there are two important aspects to be considered. State-of-the-art VLC implementations use power demanding PAs, and thus it is important to investigate if regular, existent Switched-Mode Power Supply (SMPS) circuits can be adapted for VLC use. A 28 W buck regulator was implemented using a off-the-shelf LED Driver integrated circuit, using both series and parallel dimming techniques. Results show that optical clock frequencies up to 500 kHz are achievable without any major modification besides adequate component sizing. The use of an LED as a sensor was investigated, in a short-range, low-data-rate perspective. Results show successful communication in an LED-to-LED configuration, with enhanced range when using LED strings as sensors. Besides, LEDs present spectral selective sensitivity, which makes them good contenders for a multi-colour LED-to-LED system, such as in the use of RGB displays and lamps. Ultimately, the present work shows evidence that LEDs can be used as a dual-purpose device, enabling not only illumination, but also bi-directional data communication.

The role of the intelligence service in preventing and combating transnational terrorism

Outrora dominado por amea��as provenientes de Estados-na����o, o cen��rio global actual, dominado por uma r��pida mudan��a de poderes que nos apresenta uma interac����o complexa entre m��ltiplos actores, onde inimigos desconhecidos, anteriormente bem identificados, �� actualmente controlado por grupos terroristas bem preparados e bem organizados. Hezbollah �� reconhecido como um dos grupos terroristas mais capazes, com uma extensa rede fora do L��bano dedicada a tr��fico de droga, armas e seres humanos, tal como o branqueamento de capitais para financiar o terrorismo, representando um grande foco de instabilidade �� seguran��a. Como instrumento de Estado, os servi��os de informa����es det��m a capacidade de estar na linha da frente na preven����o e combate ao terrorismo. Todavia, para compreender este fen��meno �� necess��rio analisar os actores desta amea��a. �� luz desta conjuntura, esta disserta����o est�� dividida em tr��s cap��tulos principais que visam responder ��s seguintes quest��es fundamentais: O que �� o terrorismo? Como opera um grupo terrorista transnacional? Ser�� que os servi��os de informa����es t��m as ferramentas necess��rias para prevenir e combater estas amea��as?

[An editorial to]��Recent Advances on Knowledge Discovery and Business Intelligence

Special issue guest editorial, June, 2015.

Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation

telligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in or- der to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelli- gence domains. Such procedure allowed for the identification of relationships between terms and topics grouping articles, enabling to emerge hypotheses regarding research directions. To confirm such hypotheses, relevant articles were collected and scrutinized, allowing to validate the text mining proce- dure. The results show that credit in banking is clearly the main application trend, particularly predicting risk and thus supporting credit approval or de- nial. There is also a relevant interest in bankruptcy and fraud prediction. Customer retention seems to be associated, although weakly, with targeting, justifying bank offers to reduce churn. In addition, a large number of ar- ticles focused more on business intelligence techniques and its applications, using the banking industry just for evaluation, thus, not clearly acclaiming for benefits in the banking business. By identifying these current research topics, this study also highlights opportunities for future research.

From a NoSQL data source to a business intelligence solution: An experiment

We are living in the era of Big Data. A time which is characterized by the continuous creation of vast amounts of data, originated from different sources, and with different formats. First, with the rise of the social networks and, more recently, with the advent of the Internet of Things (IoT), in which everyone and (eventually) everything is linked to the Internet, data with enormous potential for organizations is being continuously generated. In order to be more competitive, organizations want to access and explore all the richness that is present in those data. Indeed, Big Data is only as valuable as the insights organizations gather from it to make better decisions, which is the main goal of Business Intelligence. In this paper we describe an experiment in which data obtained from a NoSQL data source (database technology explicitly developed to deal with the specificities of Big Data) is used to feed a Business Intelligence solution.

Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational in- telligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two il- lustrative Traffic Engineering methods are described, allowing to attain routing con- figurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

Improving selective collection of urban waste using a business intelligence system

Today recovering urban waste requires effective management services, which usually imply sophisticated monitoring and analysis mechanisms. This is essential for the smooth running of the entire recycling process as well as for planning and control urban waste recovering. In this paper we present a business intelligence system especially designed and im- plemented to support regular decision-making tasks on urban waste management processes. The system provides a set of domain-oriented analytical tools for studying and characterizing poten- tial scenarios of collection processes of urban waste, as well as for supporting waste manage- ment in urban areas, allowing for the organization and optimization of collection services. In or- der to clarify the way the system was developed and the how it operates, particularly in process visualization and data analysis, we also present the organization model of the system, the ser- vices it disposes, and the interface platforms for exploring data.

Step towards of a homemade business intelligence solution: A case study in textile industry

Nowadays, organizations are increasingly looking to invest in business intelligence solutions, mainly private companies in order to get advantage over its competitors, however they do not know what is necessary. Business intelligence allows an analysis of consolidated information in order to obtain more specific outlets and certain indications in order to support the decision making process. You can take the right decision based on the data collected from different information systems present in the organization and outside of them. The textile sector is a sector where concept of Business Intelligence it is not many explored yet. Actually there are few textile companies that have a BI platform. Thus, the article objective is present an architecture and show all the steps by which companies need to spend to implement a successful free homemade Business Intelligence system. As result the proposed approach it was validated using real data aiming assess the steps defined.

Pervasive business intelligence platform to improve the quality of decision process in primary and secondary education ��� A Portuguese case study

Business Intelligence (BI) can be seen as a method that gathers information and data from information systems in order to help companies to be more accurate in their decision-making process. Traditionally BI systems were associated with the use of Data Warehouses (DW). The prime purpose of DW is to serve as a repository that stores all the relevant information required for making the correct decision. The necessity to integrate streaming data became crucial with the need to improve the efficiency and effectiveness of the decision process. In primary and secondary education, there is a lack of BI solutions. Due to the schools reality the main purpose of this study is to provide a Pervasive BI solution able to monitoring the schools and student data anywhere and anytime in real-time as well as disseminating the information through ubiquitous devices. The first task consisted in gathering data regarding the different choices made by the student since his enrolment in a certain school year until the end of it. Thereafter a dimensional model was developed in order to be possible building a BI platform. This paper presents the dimensional model, a set of pre-defined indicators, the Pervasive Business Intelligence characteristics and the prototype designed. The main contribution of this study was to offer to the schools a tool that could help them to make accurate decisions in real-time. Data dissemination was achieved through a localized application that can be accessed anywhere and anytime.