961 resultados para Scheduled Commercial Banking system


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Il presente lavoro di tesi è stato svolto presso la DTU, Technical University of Denmark, nel Department of Energy Conversion and Storage, Riso Campus. Lo scopo del periodo di soggiorno estero è stato quello di caratterizzare appropriati moduli termoelettrici forniti da aziende del settore, utilizzando un opportuno apparato di caratterizzazione. Quest’ultimo è noto come “module test system” e, nello specifico, è stato fornito dalla PANCO GmbH, azienda anch’essa attiva nel campo delle tecnologie termoelettriche. Partendo da uno studio teorico dei fenomeni fisici interessati (effetto Seebeck per la produzione di potenza termoelettrica), si è cercato in seguito di analizzare le principali caratteristiche, ed elementi, del “module test system”. Successivamente a questa prima fase di analisi, sono stati condotti esperimenti che, con l’aiuto di modelli computazionali implementati attraverso il software Comsol Multiphysics, hanno permesso di studiare l’affidabilità del sistema di caratterizzazione. Infine, una volta acquisite le basi necessarie ad una corretta comprensione dei fenomeni fisici e delle caratteristiche relative alla strumentazione, sono stati analizzati moduli termoelettrici di tipo commerciale. In particolare, sono stati estrapolati dati quali correnti, tensioni, gradienti di temperatura, che hanno permesso di ricavare flussi termici, efficienze, e potenze che caratterizzano il modulo in questione durante le condizioni di funzionamento. I risultati ottenuti sono stati successivamente comparati con dati forniti dal produttore, presenti sul catalogo.

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Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more effcient, hybrid vehicles. Current trends show petroleum is being edged out in favor of electricity as the main vehicular motive force. The proposed methods create an optimized charging control schedule for all participating Plug-in Hybrid Electric Vehicles in a distribution grid. The optimization will minimize daily operating costs, reduce system losses, and improve power quality. This requires participation from Vehicle-to-Grid capable vehicles, load forecasting, and Locational Marginal Pricing market predictions. Vehicles equipped with bidirectional chargers further improve the optimization results by lowering peak demand and improving power quality.

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The central bank of the Philippines (Bangko Sentral ng Pilipinas, BSP) has improved its monetary policy measures since the 2000s. After rationalizing the country's banking sector since late-1990s, its monetary policy and the uniiversal/commercial banks' (UCBs) behavior in allocating their assets has changed since mid-2000s. Though further and more detailed studies are nesessary, based on the results of simple correlation analyses conducted in this paper suggest a possible mixture of the country's monetary policy and their own decision-making in asset allocations, instead of a "follow-through" attitude.

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The ITER CODAC design identifies slow and fast plant system controllers (PSC). The gast OSCs are based on embedded technologies, permit sampling rates greater than 1 KHz, meet stringent real-time requirements, and will be devoted to data acquisition tasks and control purposes. CIEMAT and UPM have implemented a prototype of a fast PSC based on commercial off-the-shelf (COTS) technologies with PXI hardware and software based on EPICS

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The increasing adoption of smartphones by the society has created a new area of research in recommender systems. This new domain is based on using location and context-awareness to provide personalization. This paper describes a model to generate context-aware recommendations for mobile recommender systems using banking data in order to recommend places where the bank customers have previously spent their money. In this work we have used real data provided by a well know Spanish bank. The mobile prototype deployed in the bank Labs environment was evaluated in a survey among 100 users with good results regarding usefulness and effectiveness. The results also showed that test users had a high confidence in a recommender system based on real banking data.