868 resultados para Gamification Human-Vehicle HCI Energy-management
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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Nowadays, reducing energy consumption is one of the highest priorities and biggest challenges faced worldwide and in particular in the industrial sector. Given the increasing trend of consumption and the current economical crisis, identifying cost reductions on the most energy-intensive sectors has become one of the main concerns among companies and researchers. Particularly in industrial environments, energy consumption is affected by several factors, namely production factors(e.g. equipments), human (e.g. operators experience), environmental (e.g. temperature), among others, which influence the way of how energy is used across the plant. Therefore, several approaches for identifying consumption causes have been suggested and discussed. However, the existing methods only provide guidelines for energy consumption and have shown difficulties in explaining certain energy consumption patterns due to the lack of structure to incorporate context influence, hence are not able to track down the causes of consumption to a process level, where optimization measures can actually take place. This dissertation proposes a new approach to tackle this issue, by on-line estimation of context-based energy consumption models, which are able to map operating context to consumption patterns. Context identification is performed by regression tree algorithms. Energy consumption estimation is achieved by means of a multi-model architecture using multiple RLS algorithms, locally estimated for each operating context. Lastly, the proposed approach is applied to a real cement plant grinding circuit. Experimental results prove the viability of the overall system, regarding both automatic context identification and energy consumption estimation.
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Healthcare in developing countries is affected by severe poverty, political instability and diseases that may be of lesser importance in industrialized countries. The aim of this paper was to present two cases and histories of physicians working in hospitals in developing countries and to discuss the opportunities for clinical investigation and collaboration. Cases of patients in Phnom Penh, Cambodia, with histoplasmosis, cryptococcal meningitis, crusted scabies, cerebral lesions and human immunodeficiency virus and of patients in Kabul, Afghanistan, with liver cirrhosis, nephrotic syndrome and facial ulcer are discussed. Greater developmental support is required from industrialized nations, and mutually beneficial cooperation is possible since similar clinical problems exist on both sides (e.g. opportunistic cardiovascular infections). Examples for possible support of hospital medicine include physician interchange visits with defined objectives (e.g. infection control or echocardiography training) and collaboration with clinical investigations and projects developed locally (e.g. epidemiology of cardiovascular diseases or nosocomial bloodborne infections).
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RESUMO - O decisor hospitalar tem como função decidir os recursos de uma organização de saúde, sejam estes financeiros, materiais ou humanos, sendo decisivo o conhecimento e informação que o apoiem na aplicabilidade nas tomadas de decisão e na solução dos problemas. As tomadas de decisão suportam-se em modelos reproduzidos pelos decisores, em processos, modelos, e em princípios, que podem ou não assumir intuição, objetividade, racionalidade e ética, bem como de técnicas várias que podem ser limitativas ou condicionadas, por força de fatores vários, como: a falta de informação inerente de uma multidisciplinaridade do processo; de condicionalismos organizacionais, internos ou externos, associados à envolvente e cultura organizacional e influências políticas e macroeconómicas; ao fator tempo; a tecnologia; a estrutura e desenho organizacional; a autoridade/poder e a autonomia para decidir; a liderança, e do estatuto jurídico que o hospital possui. Este último ponto será esmiuçado, mais profundamente, neste estudo. Iremos, através do estudo, compreender se os elementos componentes das decisões tomadas nos hospitais, são ou não adaptadas em consonância com diferentes políticas de governação hospitalar, em contextos e dinâmicas organizacionais diferenciadas, por diferentes Estatutos Jurídicos Hospitalares - EPE, SPA, PPP e Privados. Foi realizado um estudo de caráter exploratório, descritivo-correlacional e transversal, baseou-se num questionário aplicado a decisores hospitalares, incidindo nos dois vetores centrais do estudo, na tomada de decisão e no estatuto jurídico hospitalar. A decisão é então, um valiosíssimo veículo na persecução das estratégias e planos formulados pelo hospital, esperando-se destes produzir consequentes resultados eficientes, eficazes e efetivos na sua aplicação.
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Epstein-Barr virus (EBV)-related post-transplant lymphoproliferative disease (PTLD) is one of the most serious complications associated with solid organ and hematopoietic stem cell transplantation. PTLD is most frequently seen with primary EBV infection post-transplant, a common scenario for pediatric solid organ recipients. Risk factors for infection or reactivation of EBV following solid organ transplant are stronger immunosuppressive therapy regimens, and being seronegative for receptor. For hematopoietic stem cell transplantation, the risk factors relate to the type of transplant, human leukocyte antigen disparity, the use of stronger immunosuppressants, T-cell depletion, and severe graft-versus-host disease. Mortality is high, and most frequent in patients who develop PTLD in the first six months post-transplant. The primary goal of this article is to provide an overview of the clinical manifestations, diagnosis, accepted therapies, and management of EBV infection in transplant recipients, and to suggest that the adoption of monitoring protocols could contribute to a reduction in related complications.
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RESUMO: Clostridium difficile é presentemente a principal causa de doença gastrointestinal associada à utilização de antibióticos em adultos. C. difficile é uma bactéria Gram-positiva, obrigatoriamente anaeróbica, capaz de formar endósporos. Tem-se verificado um aumento dos casos de doença associada a C. difficile com sintomas mais severos, elevadas taxas de morbilidade, mortalidade e recorrência, em parte, devido à emergência de estirpes mais virulentas, mas também devido à má gestão do uso de antibióticos. C. difficile produz duas toxinas, TcdA e TcdB, que são os principais fatores de virulência e responsáveis pelos sintomas da doença. Estas são codificadas a partir do Locus de Patogenicidade (PaLoc) que codifica ainda para um regulador positivo, TcdR, uma holina, TcdE, e um regulador negativo, TcdC. Os esporos resistentes ao oxigénio são essenciais para a transmissão do organismo e recorrência da doença. A expressão dos genes do PaLoc ocorre em células vegetativas, no final da fase de crescimento exponencial, e em células em esporulação. Neste trabalho construímos dois mutantes de eliminação em fase dos genes tcdR e tcdE. Mostrámos que a auto-regulação do gene tcdR não é significativa. No entanto, tcdR é sempre necessário para a expressão dos genes presentes no PaLoc. Trabalho anterior mostrou que, com a exceção de tcdC, os demais genes do PaLoc são expressos no pré-esporo. Mostrámos aqui que TcdA é detectada à superfície do esporo maduro e que a eliminação do tcdE não influencia a acumulação de TcdA no meio de cultura ou em associação às células ou ao esporo. Estas observações têm consequências para o nosso entendimento do processo infecioso: sugeremque o esporo possa ser também um veículo para a entrega da toxina nos estágios iniciais da infecção, que TcdA possa ser libertada durante a germinação do esporo, e que o esporo possa utilizar o mesmo receptor reconhecido por TcdA para a ligação à mucosa do cólon.---------------------------ABSTRACT: Clostridium difficile is currently the major cause of antibiotic-associated gastrointestinal diseases in adults. This is a Gram-positive bacterium, endospore-forming and an obligate anaerobe that colonizes the gastrointestinal tract. Recent years have seen a rise in C. difficile associated disease (CDAD) cases, associated with more severe disease symptoms, higher rates of morbidity, mortality and recurrence, which were mostly caused due to the emergence of “hypervirulent” strains but also due to changing patterns of antibiotics use. C. difficile produces two potent toxins, TcdA and TcdB, which are the main virulence factors and the responsible for the disease symptoms. These are codified from a Pathogenicity Locus (PaLoc), composed also by the positive regulator, TcdR, the holin-like protein, TcdE, and a negative regulator, TcdC. Besides the toxins, the oxygen-resistant spores are also essential for transmission of the organism through diarrhea; moreover, spores can accumulate in the environment or in the host, which will cause disease recurrence. The expression of the PaLoc genes occurs in vegetative cells, at the end of the exponential growth phase, and in sporulating cells. In this work, we constructed two in-frame deletion mutants of tcdR and tcdE. We showed that the positive auto regulation of tcdR is not significant. However, tcdR is always necessary for the expression of the PaLoc genes. A previous work showed that, except tcdC, all the PaLoc genes are expressed in the forespore. Here, we detected TcdA at the spore surface. Furthermore, we showed that the in-frame deletion of tcdE does not affect the accumulation of TcdA in the culture medium or in association with cells or spores. This data was important for us to conclude about the infeccious process: it suggests that the spore may be the vehicle for the delivery of TcdA in early stages of infection, that TcdA may be released during spores germination and that this spore may use the same receptor recognized by TcdA to bind to the colonic mucosa.
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The way in which electricity networks operate is going through a period of significant change. Renewable generation technologies are having a growing presence and increasing penetrations of generation that are being connected at distribution level. Unfortunately, a renewable energy source is most of the time intermittent and needs to be forecasted. Current trends in Smart grids foresee the accommodation of a variety of distributed generation sources including intermittent renewable sources. It is also expected that smart grids will include demand management resources, widespread communications and control technologies required to use demand response are needed to help the maintenance in supply-demand balance in electricity systems. Consequently, smart household appliances with controllable loads will be likely a common presence in our homes. Thus, new control techniques are requested to manage the loads and achieve all the potential energy present in intermittent energy sources. This thesis is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in house-hold or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach which also involves a power price auction and an appliance loads allocation scheme. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. Thermal Control Areas are overall thermodynamically connected in the distributed environment and also coupled by energy related constraints. The energy split is performed based on a fixed sequential order established from a previous completed auction wherein the bids are made by each Thermal Control Area, acting as demand side management agents, based on the daily energy price. The developed solutions are explained with algorithms and are applied to different scenarios, being the results explanatory of the benefits of the proposed approaches.
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This paper proposes an on-board Electric Vehicle (EV) battery charger with enhanced Vehicle-to-Home (V2H) operation mode. For such purpose was adapted an on-board bidirectional battery charger prototype to allow the Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G) and V2H operation modes. Along the paper are presented the hardware topology and the control algorithms of this battery charger. The idea underlying to this paper is the operation of the on-board bidirectional battery charger as an energy backup system when occurs a power outages. For detecting the power outage were compared two strategies, one based on the half-cycle rms calculation of the power grid voltage, and another in the determination of the rms value based in a Kalman filter. The experimental results were obtained considering the on-board EV battery charger under the G2V, V2G, and V2H operation modes. The results show that the power outage detection is faster using a Kalman filter, up to 90% than the other strategy. This also enables a faster transition between operation modes when a power outage occurs.
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This paper presents the outcomes of a research work consisting in the development of an Electric Vehicle Assistant (EVA), which creates and stores a driver profile where are contained the driving behaviours related with the EV energy consumption, the EV battery charging information, and the performed routes. This is an application for mobile devices that is able to passively track the driver behaviour and to access several information related with the EV in real time. It is also proposed a range prediction approach based on probability to take into account unpredictable effects of personal driving style, traffic or weather.
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This paper proposes a multifunctional converter to interface renewable energy sources (e.g., solar photovoltaic panels) and electric vehicles (EVs) with the power grid in smart grids context. This multifunctional converter allows deliver energy from the solar photovoltaic panels to an EV or to the power grid, and exchange energy in bidirectional mode between the EV and the power grid. Using this multifunctional converter are not required multiple conversion stages, as occurs with the traditional solutions, where are necessary two power converters to integrate the solar photovoltaic system in the power grid and also two power converters to integrate an off-board EV battery charger in the power grid (dc-dc and dc-ac power converters in both cases). Taking into account that the energy provided (or delivered) from the power grid in each moment is function of the EV operation mode and also of the energy produced from the solar photovoltaic system, it is possible to define operation strategies and control algorithms in order to increase the energy efficiency of the global system and to improve the power quality of the electrical system. The proposed multifunctional converter allows the operation in four distinct cases: (a) Transfer of energy from the solar photovoltaic system to the power grid; (b) Transfer of energy from the solar photovoltaic system and from the EV to the power grid; (c) Transfer of energy from the solar photovoltaic system to the EV or to the power grid; (d) Transfer of energy between the EV and the power grid. Along the paper are described the system architecture and the control algorithms, and are also presented some computational simulation results for the four aforementioned cases. It is also presented a comparative analysis between the traditional and the proposed solution in terms of operation efficiency and estimated cost of implementation.
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The selective collection of municipal solid waste for recycling is a very complex and expensive process, where a major issue is to perform cost-efficient waste collection routes. Despite the abundance of commercially available software for fleet management, they often lack the capability to deal properly with sequencing problems and dynamic revision of plans and schedules during process execution. Our approach to achieve better solutions for the waste collection process is to model it as a vehicle routing problem, more specifically as a team orienteering problem where capacity constraints on the vehicles are considered, as well as time windows for the waste collection points and for the vehicles. The final model is called capacitated team orienteering problem with double time windows (CTOPdTW).We developed a genetic algorithm to solve routing problems in waste collection modelled as a CTOPdTW. The results achieved suggest possible reductions of logistic costs in selective waste collection.
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Security risk management is by definition, a subjective and complex exercise and it takes time to perform properly. Human resources are fundamental assets for any organization, and as any other asset, they have inherent vulnerabilities that need to be handled, i.e. managed and assessed. However, the nature that characterize the human behavior and the organizational environment where they develop their work turn these task extremely difficult, hard to accomplish and prone to errors. Assuming security as a cost, organizations are usually focused on the efficiency of the security mechanisms implemented that enable them to protect against external attacks, disregarding the insider risks, which are much more difficult to assess. All these demands an interdisciplinary approach in order to combine technical solutions with psychology approaches in order to understand the organizational staff and detect any changes in their behaviors and characteristics. This paper intends to discuss some methodological challenges to evaluate the insider threats and its impacts, and integrate them in a security risk framework, that was defined according to the security standard ISO/IEC_JTC1, to support the security risk management process.
Bidirectional battery charger with grid-to-vehicle, vehicle-to-grid and vehicle-to-home technologies
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This paper presents the development of na on-board bidirectional battery charger for Electric Vehicles (EVs) targeting Grid-to-Vehicle (G2V), Vehicle-to-Grid (V2G), and Vehicle-to-Home (V2H) technologies. During the G2V operation mode the batteries are charged from the power grid with sinusoidal current and unitary power factor. During the V2G operation mode the energy stored in the batteries can be delivered back to the power grid contributing to the power system stability. In the V2H operation mode the energy stored in the batteries can be used to supply home loads during power outages, or to supply loads in places without connection to the power grid. Along the paper the hardware topology of the bidirectional battery charger is presented and the control algorithms are explained. Some considerations about the sizing of the AC side passive filter are taken into account in order to improve the performance in the three operation modes. The adopted topology and control algorithms are accessed through computer simulations and validated by experimental results achieved with a developed laboratory prototype operating in the different scenarios.