100 resultados para Money Smart Week 2016
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Smart Cities are designed to be living systems and turn urban dwellers life more comfortable and interactive by keeping them aware of what surrounds them, while leaving a greener footprint. The Future Cities Project [1] aims to create infrastructures for research in smart cities including a vehicular network, the BusNet, and an environmental sensor platform, the Urban Sense. Vehicles within the BusNet are equipped with On Board Units (OBUs) that offer free Wi-Fi to passengers and devices near the street. The Urban Sense platform is composed by a set of Data Collection Units (DCUs) that include a set of sensors measuring environmental parameters such as air pollution, meteorology and noise. The Urban Sense platform is expanding and receptive to add new sensors to the platform. The parnership with companies like TNL were made and the need to monitor garbage street containers emerged as air pollution prevention. If refuse collection companies know prior to the refuse collection which route is the best to collect the maximum amount of garbage with the shortest path, they can reduce costs and pollution levels are lower, leaving behind a greener footprint. This dissertation work arises in the need to monitor the garbage street containers and integrate these sensors into an Urban Sense DCU. Due to the remote locations of the garbage street containers, a network extension to the vehicular network had to be created. This dissertation work also focus on the Multi-hop network designed to extend the vehicular network coverage area to the remote garbage street containers. In locations where garbage street containers have access to the vehicular network, Roadside Units (RSUs) or Access Points (APs), the Multi-hop network serves has a redundant path to send the data collected from DCUs to the Urban Sense cloud database. To plan this highly dynamic network, the Wi-Fi Planner Tool was developed. This tool allowed taking measurements on the field that led to an optimized location of the Multi-hop network nodes with the use of radio propagation models. This tool also allowed rendering a temperature-map style overlay for Google Earth [2] application. For the DCU for garbage street containers the parner company provided the access to a HUB (device that communicates with the sensor inside the garbage containers). The Future Cities use the Raspberry pi as a platform for the DCUs. To collect the data from the HUB a RS485 to RS232 converter was used at the physical level and the Modbus protocol at the application level. To determine the location and status of the vehicles whinin the vehicular network a TCP Server was developed. This application was developed for the OBUs providing the vehicle Global Positioning System (GPS) location as well as information of when the vehicle is stopped, moving, on idle or even its slope. To implement the Multi-hop network on the field some scripts were developed such as pingLED and “shark”. These scripts helped upon node deployment on the field as well as to perform all the tests on the network. Two setups were implemented on the field, an urban setup was implemented for a Multi-hop network coverage survey and a sub-urban setup was implemented to test the Multi-hop network routing protocols, Optimized Link State Routing Protocol (OLSR) and Babel.
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DEWI will provide key solutions for wireless seamless connectivity and interoperability in the everyday physical environment of citizens, thereby significantly contributing to the emerging smart home and smart public space.
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Objectives To evaluate the feasibility and acceptability of an exergame intervention as a tool to promote physical activity in outpatients with schizophrenia. Design Feasibility/Acceptability Study and Quasi-Experimental Trial. Method Sixteen outpatients with schizophrenia received treatment as usual and they all completed an 8-week exergame intervention using Microsoft Kinect® (20 min sessions, biweekly). Participants completed pre and post treatment assessments regarding functional mobility (Timed Up and Go Test), functional fitness performance (Senior Fitness Test), motor neurological soft signs (Brief Motor Scale), hand grip strength (digital dynamometer), static balance (force plate), speed of processing (Trail Making Test), schizophrenia-related symptoms (Positive and Negative Syndrome Scale) and functioning (Personal and Social Performance Scale). The EG group completed an acceptability questionnaire after the intervention. Results Attrition rate was 18.75% and 69.23% of the participants completed the intervention within the proposed schedule. Baseline clinical traits were not related to game performance indicators. Over 90% of the participants rated the intervention as satisfactory and interactive. Most participants (76.9%) agreed that this intervention promotes healthier lifestyles and is an acceptable alternative to perform physical activity. Repeated-measures MANOVA analyses found no significant multivariate effects for combined outcomes. Conclusion This study established the feasibility and acceptability of an exergame intervention for outpatients with schizophrenia. The intervention proved to be an appealing alternative to physical activity. Future trials should include larger sample sizes, explore patients' adherence to home-based exergames and consider greater intervention dosage (length, session duration, and/or frequency) in order to achieve potential effects.
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Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper.
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In this paper, we formulate the electricity retailers’ short-term decision-making problem in a liberalized retail market as a multi-objective optimization model. Retailers with light physical assets, such as generation and storage units in the distribution network, are considered. Following advances in smart grid technologies, electricity retailers are becoming able to employ incentive-based demand response (DR) programs in addition to their physical assets to effectively manage the risks of market price and load variations. In this model, the DR scheduling is performed simultaneously with the dispatch of generation and storage units. The ultimate goal is to find the optimal values of the hourly financial incentives offered to the end-users. The proposed model considers the capacity obligations imposed on retailers by the grid operator. The profit seeking retailer also has the objective to minimize the peak demand to avoid the high capacity charges in form of grid tariffs or penalties. The non-dominated sorting genetic algorithm II (NSGA-II) is used to solve the multi-objective problem. It is a fast and elitist multi-objective evolutionary algorithm. A case study is solved to illustrate the efficient performance of the proposed methodology. Simulation results show the effectiveness of the model for designing the incentive-based DR programs and indicate the efficiency of NSGA-II in solving the retailers’ multi-objective problem.
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The 6loWPAN (the light version of IPv6) and RPL (routing protocol for low-power and lossy links) protocols have become de facto standards for the Internet of Things (IoT). In this paper, we show that the two native algorithms that handle changes in network topology – the Trickle and Neighbor Discovery algorithms – behave in a reactive fashion and thus are not prepared for the dynamics inherent to nodes mobility. Many emerging and upcoming IoT application scenarios are expected to impose real-time and reliable mobile data collection, which are not compatible with the long message latency, high packet loss and high overhead exhibited by the native RPL/6loWPAN protocols. To solve this problem, we integrate a proactive hand-off mechanism (dubbed smart-HOP) within RPL, which is very simple, effective and backward compatible with the standard protocol. We show that this add-on halves the packet loss and reduces the hand-off delay dramatically to one tenth of a second, upon nodes’ mobility, with a sub-percent overhead. The smart-HOP algorithm has been implemented and integrated in the Contiki 6LoWPAN/RPL stack (source-code available on-line mrpl: smart-hop within rpl, 2014) and validated through extensive simulation and experimentation.
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Wireless body area networks (WBANs) are expected to play a significant role in smart healthcare systems. One of the most important attributes of WBANs is to increase network lifetime by introducing novel and low-power techniques on the energy-constrained sensor nodes. Medium access control (MAC) protocols play a significant role in determining the energy consumption in WBANs. Existing MAC protocols are unable to accommodate communication requirements in WBANs. There is a need to develop novel, scalable and reliable MAC protocols that must be able to address all these requirements in a reliable manner. In this special issue, we attracted high quality research and review papers on the recent advances in MAC protocols for WBANs.
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Introduction The association of the Mediterranean diet and exercise appears to have a protective role, reducing cardiovascular risk. This study investigated the effects of education sessions on the Mediterranean diet and an exercise program in modifying eating behaviors, body composition and abdominal fat. Methods An experimental study was performed on 20 subjects with known coronary heart disease randomly assigned to experimental (n=10) and control (n=10) groups. Both groups received education sessions on the Mediterranean diet, but the experimental group also followed an eight-week program of specific exercises. A semiquantitative food frequency questionnaire was administered to analyze food intake, bioimpedance was used to measure weight, fat mass and lean mass, and waist circumference was measured to calculate waist-to-height ratio. Results After eight weeks, protein (p<0.05) and cholesterol (p<0.05) intake in the experimental group had decreased significantly compared with the control group. Between the beginning and end of the study, there were significant decreases in the control group in carbohydrate (p<0.05) and saturated fat intake (p<0.05). In both groups the percentage of total fat (p<0.05) and fat mass (p<0.05) was significantly decreased. In the experimental group the waist-to-height ratio was significantly reduced (p<0.05). Conclusion The Mediterranean diet reduced carbohydrate and saturated fat intake, reflected in reduced fat mass. The association of the exercise program showed additional benefits in reduction of protein and cholesterol intake and abdominal fat.
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Objective: To study the influence of prolonged wearing of unstable shoes on standing postural control in prolonged standing workers. Methods: The participants were divided into two groups: one wore unstable shoes while the other wore conventional shoes for 8 weeks. Stabilometry parameters related to centre of pressure (CoP), rambling (RM) and trembling (TR) as well as the total agonist/antagonist muscle activity, antagonist co-activation and reciprocal activation were evaluated during upright standing, before and after the 8 week period. In both moments, the subjects were evaluated wearing the unstable shoes and in barefoot. Results: The unstable shoe condition presented increased CoP displacement related variables and decreased co-activation command compared to barefoot before and after the intervention. The prolonged wearing of unstable shoes led to: (1) reduction of medial-lateral CoP root mean square and area; (2) decreased anteroposterior RM displacement; (3) increased anteroposterior RM mean velocity and mediolateral RM displacement; (4) decreased anteroposterior TR RMS; and (5) increased thigh antagonist co-activation in the unstable shoe condition. Conclusion: The unstable shoe condition is associated to a higher destabilizing effect that leads to a selection of more efficient and accurate postural commands compared to barefoot. Prolonged wearing of unstable shoes provides increased effectiveness and performance of the postural control system, while wearing of unstable shoes in upright standing, that are reflected by changes in CoP related variables and by a reorganization of postural control commands.
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The vision of the Internet of Things (IoT) includes large and dense deployment of interconnected smart sensing and monitoring devices. This vast deployment necessitates collection and processing of large volume of measurement data. However, collecting all the measured data from individual devices on such a scale may be impractical and time consuming. Moreover, processing these measurements requires complex algorithms to extract useful information. Thus, it becomes imperative to devise distributed information processing mechanisms that identify application-specific features in a timely manner and with a low overhead. In this article, we present a feature extraction mechanism for dense networks that takes advantage of dominance-based medium access control (MAC) protocols to (i) efficiently obtain global extrema of the sensed quantities, (ii) extract local extrema, and (iii) detect the boundaries of events, by using simple transforms that nodes employ on their local data. We extend our results for a large dense network with multiple broadcast domains (MBD). We discuss and compare two approaches for addressing the challenges with MBD and we show through extensive evaluations that our proposed distributed MBD approach is fast and efficient at retrieving the most valuable measurements, independent of the number sensor nodes in the network.
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For efficient planning of waste collection routing, large municipalities may be partitioned into convenient sectors. The real case under consideration is the municipality of Monção, in Portugal. Waste collection involves more than 1600 containers over an area of 220 km2 and a population of around 20,000 inhabitants. This is mostly a rural area where the population is distributed in small villages around the 33 boroughs centres (freguesia) that constitute the municipality. In most freguesias, waste collection is usually conducted 3 times a week. However, there are situations in which the same collection is done every day. The case reveals some general and specific characteristics which are not rare, but are not widely addressed in the literature. Furthermore, new methods and models to deal with sectorization and routing are introduced, which can be extended to other applications. Sectorization and routing are tackled following a three-phase approach. The first phase, which is the main concern of the presentation, introduces a new method for sectorization inspired by Electromagnetism and Coulomb’s Law. The matter is not only about territorial division, but also the frequency of waste collection, which is a critical issue in these types of applications. Special characteristics related to the number and type of deposition points were also a motivation for this work. The second phase addresses the routing problems in each sector: new Mixed Capacitated Arc Routing with Limited Multi-Landfills models will be presented. The last phase integrates Sectoring and Routing. Computational results confirm the effectiveness of the entire novel approach.
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La cal es un material producido a partir de la calcinación de la roca caliza y tiene diversas utilidades en el mundo de la industria como la siderúrgica, papelera, alimentaria, en la construcción, entre otras. Es fundamental conocer todas las características de la caliza para poder determinar su grado de calcinación. Con el presente trabajo se pretende estudiar las propriedades de la caliza para su posterior calcinación y el dimensionamento de una planta de producción de cal desde que el mineral llega de la explotación hasta que sale al mercado.Para determinar los equipos se calularon sus dimensiones para una producción de 600 t/h de cal, sabiendo que la planta principal de machaquero solo trabajará 5 días de la semana en jornadas de 8 horas, mientras que a partir del horno de calcinación estará en funcionamento los 7 dias de la semana, 24 horas al día. A partir de esas consideraciones se obtienen las dimensiones de todos los equipos y se realiza un estudio para la elección de un horno, o un horno de eje vertical y un horno rotativo, así como el combustible empleado, ya que es una parte fundamental para determinar los costes para la producción de cal.Tmbién fue objeto de este trabajo, el estudio ambiental de la instalación de la planta, en función de la mezcla de combustible empleada y del impacto en el entorno de la lisma, así como un estudio de viabilidad de la planta, estimando unos costes de la misma y un precio de mercado "ex Works".
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No atual contexto económico e financeiro, a gestão de tesouraria assume uma importância relevante dentro das organizações. Efetivamente, o dinheiro é a preocupação de qualquer gestor. A obtenção deste recurso escasso, com o mínimo custo e geri-lo de forma a otimizá-lo, é sem dúvida, o objetivo de qualquer gestor financeiro, no contexto de incerteza em que nos movemos. A atual crise proporciona à tesouraria a oportunidade ideal de realçar a sua importância estratégica e o valor acrescentado que pode trazer às organizações. Todas as áreas da organização, direta ou indiretamente, mantêm ligações com a área de tesouraria. O objetivo deste trabalho é enfatizar a relevância da gestão de tesouraria nos processos financeiros, antecipando informações para análise e tomada de decisão dos responsáveis financeiros nas Instituições de Ensino Superior; é demonstrar que a gestão de tesouraria deve fazer parte da cultura da organização e que é uma ferramenta de apoio para o planeamento financeiro, da gestão estratégica, de investimentos e de aproveitamento de oportunidades de crescimento das Instituições de Ensino Superior. Por último, pretendeu-se identificar e sugerir boas práticas e melhorias nos processos existentes, nas Instituições de Ensino Superior, que possam contribuir para a eficiência e eficácia da gestão de tesouraria. A revisão da literatura conduziu-nos à análise das diversas perspetivas da gestão de tesouraria, a importância das boas práticas, do sistema de controlo interno e da auditoria. Mostrou-se pertinente compreender o contexto jurídico das IES. Foi relevante a abordagem dos ciclos financeiros das organizações, para compreender a importância da realização de orçamentos de tesouraria, como um instrumento do controlo dos fluxos financeiros e da tomada de decisões dentro das organizações. Realizou-se ainda uma abordagem à gestão de crédito, às fontes de financiamento e à temática da centralização da gestão de tesouraria nas IES, por se entender que são aspetos fundamentais que contribuem para a eficiência e a eficácia desta área de atuação das instituições. Decorrente da revisão da literatura, identificaram-se as perguntas de investigação e aplicou-se a metodologia de um estudo de caso único de uma instituição de ensino superior, através da elaboração de entrevistas, recolha dos dados, pesquisa documental, observação direta e participativa do investigador. As conclusões finais do nosso estudo revelaram que o modelo de análise aplicado ao IPP, teve uma taxa de confirmação de 53%. As componentes do modelo em análise com os resultados mais significativos e que mais contribuíram para esta confirmação, foram a gestão de tesouraria considerada como um patamar estratégico nesta IES, a elaboração do orçamento de tesouraria e os procedimentos associados ao sistema de controlo interno.
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Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças, sob orientação do Doutor José Amorim
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Numa altura em que o setor da saúde é apontado como uma área crítica de gastos, nunca foi tão pertinente, pela falta de verbas, refletir e discutir o formato de contratação e de gestão dos cuidados de saúde. A sua fundamentação em custo, volume ou diferenciação, bem como, os indicadores que refletem o investimento, a eficiência e eficácia dos cuidados. Pretendeu-se como objetivo principal estudar a criação de valor no mercado da saúde enquanto fator diferenciador para a negociação de preços e competitividade em contexto de crise económica. Com vista a alcançar este objetivo, procedeu-se à revisão dos modelos teóricos, recorrendo a pesquisa bibliográfica. Procedeu-se também à comparação dos resultados operacionais de uma empresa enquanto prestadora de serviços de oxigenoterapia ao domicílio, tendo por base duas estratégias diferentes: redução direta de preços ou manutenção de preços com criação de valor para o cliente. Tendo em vista as duas estratégias, foram elaboradas duas propostas e posteriormente apresentadas para avaliação e votação on-line por um grupo oito gestores hospitalares. O valor em cuidados de saúde é visível nos benefícios clínicos alcançados pelo dinheiro investido. A estrutura dos atuais sistemas de saúde apenas reconhece redução de gastos, fontes de receita, volume de cuidados, sem orientação para a valorização dos resultados clínicos. Os prestadores deviam competir pela focalização na obtenção de melhores resultados clínicos, pois deve ser a essa a preocupação central dos serviços médicos. Uma boa gestão pode levar a que numa negociação de contratos, uma proposta baseada em valor possa garantir a manutenção dos preços.