845 resultados para Organization, vision, strategy, learning, monitoring


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The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

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Il presente progetto è incentrato sull’analisi paleografica della scrittura delle carte dei notai bolognesi del secolo XII (dal 1100 al 1164) ed è stata condotta su un totale di circa 730 documenti, quasi totalmente inediti. La ricerca rientra nell’ambito del progetto di edizione critica delle Carte bolognesi del secolo XII, in corso presso la Cattedra di Paleografia e Diplomatica dell’Università di Bologna. Il lavoro ha previsto un’analisi tecnica e puntuale delle abitudini grafiche di ogni notaio, con particolare attenzione al sistema abbreviativo (al fine di fornire una serie di dati di confronto che potranno essere utili al momento dell’edizione). È stata così realizzata una sorta di database delle diverse grafie esistenti sul territorio, organizzate per notaio e in ordine cronologico. Le caratteristiche della documentazione sono state poi prese in esame sul piano sincronico e nel loro sviluppo diacronico, e si è proceduto a un confronto tra la produzione dei diversi notai, verificando la presenza di nessi e parentele “grafiche”, che hanno permesso di ricostruire raggruppamenti di scriventi con caratteristiche affini.L’analisi dei dati ha permesso di indagare a fondo gli sviluppi della minuscola carolina bolognese e di osservare l’organizzazione e le modalità di apprendimento della pratica notarile. È stato così possibile cogliere le dinamiche con cui la carolina, introdotta da alcuni notai “innovatori”, come Angelo e Bonando, si è diffusa dalla città al contado: si è trattato di un processo graduale, in cui accanto a forme già mature, di transizione verso la gotica, sono convissute forme ancora arcaiche. In linea con quanto la storiografia ha evidenziato, anche l’analisi grafica della documentazione privata bolognese conferma che il processo di rinnovamento della corporazione dovette essere successivo all’impresa irneriana, traendo probabilmente alimento anche dai rapporti diretti e documentati tra Irnerio e alcune personalità più avanzate del notariato bolognese.

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Introduction: In the World Health Organization (WHO) MONICA (multinational MONItoring of trends and determinants in CArdiovascular disease) Project considerable effort was made to obtain basic data on non-respondents to community based surveys of cardiovascular risk factors. The first purpose of this paper is to examine differences in socio-economic and health profiles among respondents and non-respondents. The second purpose is to investigate the effect of non-response on estimates of trends. Methods:Socio-economic and health profile between respondents and non-respondents in the WHO MONICA Project final survey were compared. The potential effect of non-response on the trend estimates between the initial survey and final survey approximately ten years later was investigated using both MONICA data and hypothetical data. Results: In most of the populations, non-respondents were more likely to be single, less well educated, and had poorer lifestyles and health profiles than respondents. As an example of the consequences, temporal trends in prevalence of daily smokers are shown to be overestimated in most populations if they were based only on data from respondents. Conclusions: The socio-economic and health profiles of respondents and non-respondents differed fairly consistently across 27 populations. Hence, the estimators of population trends based on respondent data are likely to be biased. Declining response rates therefore pose a threat to the accuracy of estimates of risk factor trends in many countries.

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The primary purpose of boundary spanning has been the information exchange between the organization and its task-environment. With complex, global organizational structures and increased emphasis on outsourcing, organizations today are susceptible to degenerate into ‘silos’ and in turn hampering the synergy and efficiency. Boundary spanning research becomes critical to answer some emerging questions in this area. Organization theorists have considered the boundary spanning construct an important one that explains the boundaries of an organization, inter organizational exchanges, dependence and in general, the concept of an organization. The research in this area seems to fall in two broad streams viz., Organization focused, dealing with issues pertaining to organization system, network, learning and collaboration and Individual focused, exploring issues of actors—and their attitudes, behavior—that traverse the boundaries of organization such as sales person, service workers and public servants. This chapter introduces nine interesting research studies presented in the following chapters of the book and attempt to put them in perspective in light of extant literature in the area of boundary spanning theory.

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Purpose: In golf, the impact of eye-hand dominance on putting performance has long been debated. Eye-hand dominance is thought to impact how golfers judge the alignment of the ball with the target and the club with the ball, as well as how golfers visualize the line of the putt when making decisions about the force needed to hit the ball. Previous studies have all measured ocular dominance in primary gaze only, despite golfers spending a significant amount of their time in a putting stance (bent at the hips, head tilted down). Thus, the purpose of this study was to assess ocular dominance in both primary gaze (aligning the ball with the target) and putting gaze (addressing the ball and aligning the club). Methods: This study investigatedmeasuring pointing oculardominance in both primary and putting gaze positions on 31 golfers (14 amateur, 7 club professionals, and 10 top professionals). All playerswere right-handed golfers, although one reported having no hand dominance and one reported being strongly left hand dominant. Results: The results showed that (1) primary and putting gaze ocular dominances are not equal, nor are they predictive of each other; (2) themagnitude of putting ocular dominance is significantly less than themagnitude of primary gaze ocular dominance; (3) ocular dominance is not correlated with handedness in either primary or putting gaze; and (4) eye-hand dominance is not associated with increased putting skill, although ocular dominance may be associated with increased putting success. Conclusions: It is important that coaches assess golfers' ocular dominance in both primary and putting gaze positions to ensure they have the most accurate information upon which to base their vision strategy decisions.

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INTRODUCTION: The ability to reproducibly identify clinically equivalent patient populations is critical to the vision of learning health care systems that implement and evaluate evidence-based treatments. The use of common or semantically equivalent phenotype definitions across research and health care use cases will support this aim. Currently, there is no single consolidated repository for computable phenotype definitions, making it difficult to find all definitions that already exist, and also hindering the sharing of definitions between user groups. METHOD: Drawing from our experience in an academic medical center that supports a number of multisite research projects and quality improvement studies, we articulate a framework that will support the sharing of phenotype definitions across research and health care use cases, and highlight gaps and areas that need attention and collaborative solutions. FRAMEWORK: An infrastructure for re-using computable phenotype definitions and sharing experience across health care delivery and clinical research applications includes: access to a collection of existing phenotype definitions, information to evaluate their appropriateness for particular applications, a knowledge base of implementation guidance, supporting tools that are user-friendly and intuitive, and a willingness to use them. NEXT STEPS: We encourage prospective researchers and health administrators to re-use existing EHR-based condition definitions where appropriate and share their results with others to support a national culture of learning health care. There are a number of federally funded resources to support these activities, and research sponsors should encourage their use.

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Este trabalho tem por objetivo relatar os resultados preliminares de uma experiência de integração curricular, em andamento na Escola de Informática da UCPel, na área de fundamentos matemáticos da Ciência da Computação. A concepção curricular da experiência está baseada nas idéias de Basil Bernstein sobre currículos de coleção e/ou integração, na idéia de desenvolvimento autônomo do aluno e na organização do ensino em forma semi-presencial (com apoio da Internet) e cooperativa (com apoio de softwares matemáticos).

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Finding rare events in multidimensional data is an important detection problem that has applications in many fields, such as risk estimation in insurance industry, finance, flood prediction, medical diagnosis, quality assurance, security, or safety in transportation. The occurrence of such anomalies is so infrequent that there is usually not enough training data to learn an accurate statistical model of the anomaly class. In some cases, such events may have never been observed, so the only information that is available is a set of normal samples and an assumed pairwise similarity function. Such metric may only be known up to a certain number of unspecified parameters, which would either need to be learned from training data, or fixed by a domain expert. Sometimes, the anomalous condition may be formulated algebraically, such as a measure exceeding a predefined threshold, but nuisance variables may complicate the estimation of such a measure. Change detection methods used in time series analysis are not easily extendable to the multidimensional case, where discontinuities are not localized to a single point. On the other hand, in higher dimensions, data exhibits more complex interdependencies, and there is redundancy that could be exploited to adaptively model the normal data. In the first part of this dissertation, we review the theoretical framework for anomaly detection in images and previous anomaly detection work done in the context of crack detection and detection of anomalous components in railway tracks. In the second part, we propose new anomaly detection algorithms. The fact that curvilinear discontinuities in images are sparse with respect to the frame of shearlets, allows us to pose this anomaly detection problem as basis pursuit optimization. Therefore, we pose the problem of detecting curvilinear anomalies in noisy textured images as a blind source separation problem under sparsity constraints, and propose an iterative shrinkage algorithm to solve it. Taking advantage of the parallel nature of this algorithm, we describe how this method can be accelerated using graphical processing units (GPU). Then, we propose a new method for finding defective components on railway tracks using cameras mounted on a train. We describe how to extract features and use a combination of classifiers to solve this problem. Then, we scale anomaly detection to bigger datasets with complex interdependencies. We show that the anomaly detection problem naturally fits in the multitask learning framework. The first task consists of learning a compact representation of the good samples, while the second task consists of learning the anomaly detector. Using deep convolutional neural networks, we show that it is possible to train a deep model with a limited number of anomalous examples. In sequential detection problems, the presence of time-variant nuisance parameters affect the detection performance. In the last part of this dissertation, we present a method for adaptively estimating the threshold of sequential detectors using Extreme Value Theory on a Bayesian framework. Finally, conclusions on the results obtained are provided, followed by a discussion of possible future work.

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Mestrado em Contabilidade

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Relatório EPE - Relatório de estágio em Educação Pré-Escolar: O presente relatório de estágio tem como propósito principal refletir, criticamente, acerca de todo o percurso realizado no contexto educativo de Educação Pré-Escolar, no âmbito da Unidade Curricular (UC) de Prática Pedagógica Supervisionada (PPS), inserida no Mestrado em Educação Pré-escolar (PE) e Ensino do 1º Ciclo do Ensino Básico (1ºCEB). O trabalho desenvolvido teve como objetivo o desenvolvimento de competências profissionais associadas ao saber agir em ação, exigindo um quadro concetual rigoroso, adaptado às características do nível educativo e do contexto. Para tal, foi necessária uma atitude profissional indagadora e investigativa, critica e reflexiva, que permitisse agir com intencionalidade pedagógica. Neste sentido, os processos educativos e formativos desenvolvidos ao longo de todo o semestre, centraram-se numa metodologia de investigação-ação, caracterizada por uma espiral de ciclos de observação, planificação, ação, avaliação e reflexão, tendo em conta diferentes dimensões pedagógicas. Todos estes processos foram devidamente articulados com referentes teóricos e legais, sendo feito um enquadramento a esse nível, com vista a compreender a base de sustentação das práticas da mestranda. Evidencia-se a conceção de criança e o papel fundamental, não só do educador, mas também de todos os intervenientes do processo educativo, no sentido de estimular e motivar a criança para a construção das suas próprias aprendizagens, destacando-se, assim, uma visão socio construtivista da aprendizagem, transversal a todos os processos referidos. Todas as ações desenvolvidas permitiram analisar o percurso da formanda e o desenvolvimento das suas competências profissionais, não só relacionadas com a prática, mas também direcionadas para quadros concetuais mais alargados.

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Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC has become a popular system for object detection, based on twenty common objects, and has been released with a successful deformable parts model in VOC2007. A hand detection on an image is made when the system gets a bounding box which overlaps with at least 50% of any ground truth bounding box for a hand on the image. The initial average precision of this detector is around 0.215 compared with a state-of-art of 0.104; however, color and frequency features for detected bounding boxes contain important information for re-scoring, and the average precision can be improved to 0.218 with these features. Results show that these features help on getting higher precision for low recall, even though the average precision is similar.

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What does this thesis do? This thesis uses Actor-Network Theory (ANT) to examine how a UK retailer’s organization and strategy, and, in turn, its form of management accounting was shaped by its supply chain. The thesis does this by reporting on four related themes in the form of four inter-connected essays. The first essay undertakes a state-of-the-art review of the literature. It examines how accounting issues within supply chains permeate ‘matters of concern’. In accordance with this idea of ANT, the essay illustrates how issues emerged, controversies developed, and matters evolved through an actor-network of accounting researchers within the supply chain domain. This leads on to the second essay, which exemplifies the nature of the UK’s retailing industry within which the supply chain case organization emerged and developed. The purposes of the essay are twofold: to introduce the contextual ramifications of the case organization; and to illustrate the emergence of a new market logic, which led to the creation of a global supply chain and a new form of management accounting therein. The third essay reports on a qualitative case study. It analyses the dualistic relation between ostensive and performative aspects of supply chain strategy, reveals how accounting numbers act as an obligatory passage point within this dualism, and makes a contribution to the ANT debate around the issue of whether and how a dualism between ostensive and performative aspects exists. The final essay reports on another case analysis of institutionalizing a heterarchical form of management accounting: a distributed form of intelligence that penetrates through lateral accountable relations. The analysis reveals a new form of management accounting characterised by ambiguity; it emphasizes the possibilities of compromises and negotiations, and it thus contributes to knowledge by combining an aspect of ANT with heterarchical tendencies in the world of contemporary organizations. Finally, the thesis concludes that it is the supply chain that organises today’s neoliberal capitalism; and it is management accounting that unites both human and non-human actors within such supply chains, despite that form of management accounting being ambiguous. The thesis comprises the introduction, these four essays, and the conclusion.

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Tämän kandidaatintutkielman tavoitteena on tunnistaa strategiaprosessin eri vaiheet sekä kuvailla, miten prosessi toteutettiin tapausyritys Suominen Oyj:llä. Tavoitteina on myös analysoida, miten Suominen Oyj:n henkilöstö kokee oman suhteensa organisaatioon, sen strategiaan, tavoitteisiin ja arvoihin. Analyysin pohjalta pyritään muodostamaan kuva siitä, kuinka strategian implementoinnissa on onnistuttu. Lisäksi tarkastellaan, eroavatko nämä kokemukset eri maissa tapausyrityksessä. Tutkimuksessa käytetään sekä kvalitatiivisia että kvantitatiivisia tutkimusmenetelmiä. Suominen Oyj:n strategiaprosessista hankitaan informaatiota kahdella laadullisella puolistrukturoidulla teemahaastattelulla. Kvantitatiivisen analyysin kohteena puolestaan on tapausyrityksen yhdeksältäkymmeneltä ylimmässä asemassa työskentelevältä henkilöltä kerätty tilastollinen kyselydata, jota analysoidaan muun muassa Kruskal-Wallisin testillä sekä Spearmanin korrelaatioanalyysillä. Tutkielmassa muodostetaan kuva prosessista, jossa hyvin muotoiltu strategia sekä selkeät tavoitteet luovat pohjan strategian implementoinnille. Onnistuneen implementoinnin keinoja ovat muun muassa kehitysohjelmat, tarkka rekrytointi, tavoitteiden ja palkkioiden sitominen strategiaan, strategian kanssa yhteensopiva organisaatiokulttuuri, useamman eri hierarkiatason osallistuminen ja erilaisten kontrollijärjestelmien sekä implementointityökalujen hyödyntäminen. Havaitaan, että tapausyritys käyttää näistä keinoista useampaa. Yrityksen monikansallisuus vaikuttaa erityisesti organisaatiokulttuuriin sekä sisäiseen viestintään. Tutkielman kvantitatiivisen analyysin tulokset näyttävät, ettei maiden välillä ole tilastollisesti merkittäviä eroja siinä, miten henkilöstö kokee oman suhteensa tapausyritykseen, sen strategiaan, tavoitteisiin ja arvoihin. Kvantitatiivisen analyysin perusteella Suominen Oyj:n strategiaprosessi on onnistunut hyvin. Tutkimuksessa esitellään vielä muutamia kehitysajatuksia yritystä sekä mahdollisia jatkotutkimuksia varten.

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Objetivos: O presente estudo teve como primeiro objetivo estudar Funcionamento Executivo na Perturbação de Hiperatividade e Défice de Atenção (PHDA) e, como segundo, analisar o potencial das vinhetas como instrumento de avaliação ecológica nas Funções Executivas. Métodos: Neste estudo participaram 15 Pais de crianças com PHDA, com idades compreendidas entre o 6 e os 16 anos. As crianças foram avaliadas quantitativamente e qualitativamente pelos Pais. Quantitativamente foram avaliados nos 8 domínios específicos do Funcionamento Executivo: Controlo Inibitório, Flexibilidade, Controlo Emocional, Iniciativa, Memória de Trabalho, Planeamento/Organização, Organização de Materiais e Monitorização e nas subescalas do instrumento de avaliação. Qualitativamente foram avaliados a partir de vinhetas com situações do dia-a-dia. Para a avaliação das Funções Executivas foi utilizado o instrumento de avaliação ICAFE – P - Inventário Comportamental de Avaliação das Funções Executivas – Versão para Pais. Resultados: Os resultados sugerem que as maiores dificuldades no quotidiano se relacionam com vulnerabilidades na Memória de Trabalho. Parecem não existir grandes diferenças nas respostas dos pais em função do género. Já no que refere à faixa etária, os pais apresentam respostas diferentes. Conclusões: Constatou-se que a amostra apresenta, de um modo geral, problemas em todos os domínios presentes nas Funções Executivas. Destacando-se dificuldades acrescidas em situações de memória de trabalho e de planeamento. São necessários mais estudos sobre esta temática e com amostras superiores.

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Os serviços públicos estão confrontados, cada vez mais, com uma envolvente externa e interna mais exigente, o que inevitavelmente obriga à introdução da abordagem estratégica. A avaliação de desempenho na Administração Pública, obriga à integração de metodologias de gestão estratégica, que podem ser monitorizadas com o Balanced Scorecard (BSC), funcionando este como núcleo para alimentar os ciclos anuais de gestão e o sistema de avaliação de desempenho, contribuindo assim para melhorar a gestão dessas organizações. Este trabalho consubstancia uma proposta de projecto de organização e implementação de um BSC num serviço público específico, nomeadamente a Direcção de Serviços do Comércio e Serviços e do Turismo (DSCST) da Direcção Regional da Economia do Alentejo (DRE­ Alentejo). A abordagem estratégica na DRE-Alentejo e na DSCST, apoiada no BSC, constitui uma iniciativa que implica mudanças. Permite simplificar a definição da estratégia e do plano estratégico, apoiar a construção dos planos de actividades, o mapa de pessoal, a carta de missão, facilitar a comunicação da estratégia no interior e exterior da organização. Permite ainda o alinhamento e a articulação dos objectivos em todos os níveis hierárquicos com a estratégia, bem como a medição da eficácia da estratégia. Abstract: Government departments increasingly operate within an ever more demanding environment, in both internal and external terms, and there is therefore a requirement for the adoption of a strategic approach to public administration. Performance evaluation requires the use of strategic management methodologies monitored by means of a Balanced Scorecard (BSC), which provides data for annual management reviews and the performance evaluation system, thereby contributing towards the improved management of government departments. ln this paper a proposal is presented for the organization and implementation of a BSC in a specific public department, the (DRE-Alentejo) Alentejo Regional Department of Economic Affairs (DSCST) Department of Commerce and Tourism. The strategic approach based on BSC adopted by the DRE-Alentejo involves changes in the management system. The process of setting strategy and drawing up a strategic plan is simplified, and the approach helps in the drawing up of activity plans, the official staff plan and the mission statement; it also enables the organization's strategy to be better understood both internally and externally, while bringing it into line with objectives, which can be more coherently pursued at all levels; finally, it allows for the effectiveness of strategy to be gauged.