774 resultados para data warehouse tuning aggregato business intelligence performance


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There has been an increased use of the Doubly-Fed Induction Machine (DFIM) in ac drive applications in recent times, particularly in the field of renewable energy systems and other high power variable-speed drives. The DFIM is widely regarded as the optimal generation system for both onshore and offshore wind turbines and has also been considered in wave power applications. Wind power generation is the most mature renewable technology. However, wave energy has attracted a large interest recently as the potential for power extraction is very significant. Various wave energy converter (WEC) technologies currently exist with the oscillating water column (OWC) type converter being one of the most advanced. There are fundemental differences in the power profile of the pneumatic power supplied by the OWC WEC and that of a wind turbine and this causes significant challenges in the selection and rating of electrical generators for the OWC devises. The thesis initially aims to provide an accurate per-phase equivalent circuit model of the DFIM by investigating various characterisation testing procedures. Novel testing methodologies based on the series-coupling tests is employed and is found to provide a more accurate representation of the DFIM than the standard IEEE testing methods because the series-coupling tests provide a direct method of determining the equivalent-circuit resistances and inductances of the machine. A second novel method known as the extended short-circuit test is also presented and investigated as an alternative characterisation method. Experimental results on a 1.1 kW DFIM and a 30 kW DFIM utilising the various characterisation procedures are presented in the thesis. The various test methods are analysed and validated through comparison of model predictions and torque-versus-speed curves for each induction machine. Sensitivity analysis is also used as a means of quantifying the effect of experimental error on the results taken from each of the testing procedures and is used to determine the suitability of the test procedures for characterising each of the devices. The series-coupling differential test is demonstrated to be the optimum test. The research then focuses on the OWC WEC and the modelling of this device. A software model is implemented based on data obtained from a scaled prototype device situated at the Irish test site. Test data from the electrical system of the device is analysed and this data is used to develop a performance curve for the air turbine utilised in the WEC. This performance curve was applied in a software model to represent the turbine in the electro-mechanical system and the software results are validated by the measured electrical output data from the prototype test device. Finally, once both the DFIM and OWC WEC power take-off system have been modeled succesfully, an investigation of the application of the DFIM to the OWC WEC model is carried out to determine the electrical machine rating required for the pulsating power derived from OWC WEC device. Thermal analysis of a 30 kW induction machine is carried out using a first-order thermal model. The simulations quantify the limits of operation of the machine and enable thedevelopment of rating requirements for the electrical generation system of the OWC WEC. The thesis can be considered to have three sections. The first section of the thesis contains Chapters 2 and 3 and focuses on the accurate characterisation of the doubly-fed induction machine using various testing procedures. The second section, containing Chapter 4, concentrates on the modelling of the OWC WEC power-takeoff with particular focus on the Wells turbine. Validation of this model is carried out through comparision of simulations and experimental measurements. The third section of the thesis utilises the OWC WEC model from Chapter 4 with a 30 kW induction machine model to determine the optimum device rating for the specified machine. Simulations are carried out to perform thermal analysis of the machine to give a general insight into electrical machine rating for an OWC WEC device.

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Our research follows a design science approach to develop a method that supports the initialization of ES implementation projects – the chartering phase. This project phase is highly relevant for implementation success, but is understudied in IS research. In this paper, we derive design principles for a chartering method based on a systematic review of ES implementation literature and semi-structured expert interviews. Our analysis identifies differences in the importance of certain success factors depending on the system type. The proposed design principles are built on these factors and are linked to chartering key activities. We specifically consider system-type-specific chartering aspects for process-centric Business Intelligence & Analytics (BI&A) systems, which are an emerging class of systems at the intersection of BI&A and business process management. In summary, this paper proposes design principles for a chartering method – considering specifics of process-centric BI&A.

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We demonstrate a 5-GHz-broadband tunable slow-light device based on stimulated Brillouin scattering in a standard highly-nonlinear optical fiber pumped by a noise-current-modulated laser beam. The noisemodulation waveform uses an optimized pseudo-random distribution of the laser drive voltage to obtain an optimal flat-topped gain profile, which minimizes the pulse distortion and maximizes pulse delay for a given pump power. In comparison with a previous slow-modulation method, eye-diagram and signal-to-noise ratio (SNR) analysis show that this broadband slow-light technique significantly increases the fidelity of a delayed data sequence, while maintaining the delay performance. A fractional delay of 0.81 with a SNR of 5.2 is achieved at the pump power of 350 mW using a 2-km-long highly nonlinear fiber with the fast noise-modulation method, demonstrating a 50% increase in eye-opening and a 36% increase in SNR in the comparison.

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The social and economic benefits of the coastal zone make it one of the most treasured environments on our planet. Yet it is vulnerable to increasing anthropogenic pressure and climate change. Coastal management aims to mitigate these pressures while augmenting the socio-economic benefits the coastal region has to offer. However, coastal management is challenged by inadequate sampling of key environmental indicators, partly due to issues relating to cost of data collection. Here, we investigate the use of recreational surfers as platforms to improve sampling coverage of environmental indicators in the coastal zone. We equipped a recreational surfer, based in the south west United Kingdom (UK), with a temperature sensor and Global Positioning System (GPS) device that they used when surfing for a period of one year (85 surfing sessions). The temperature sensor was used to derive estimates of sea-surface temperature (SST), an important environmental indicator, and the GPS device used to provide sample location and to extract information on surfer performance. SST data acquired by the surfer were compared with data from an oceanographic station in the south west UK and with satellite observations. Our results demonstrate: (i) high-quality SST data can be acquired by surfers using low cost sensors; and (ii) GPS data can provide information on surfing performance that may help motivate data collection by surfers. Using recent estimates of the UK surfing population, and frequency of surfer participation, we speculate around 40 million measurements on environmental indicators per year could be acquired at the UK coastline by surfers. This quantity of data is likely to enhance coastal monitoring and aid UK coastal management. Considering surfing is a world-wide sport, our results have global implications and the approach could be expanded to other popular marine recreational activities for coastal monitoring of environmental indicators.

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This note presents a simple model for prediction of liquid hold-up in two-phase horizontal pipe flow for the stratified roll wave (St+RW) flow regime. Liquid hold-up data for horizontal two-phase pipe flow [1, 2, 3, 4, 5 and 6] exhibit a steady increase with liquid velocity and a more dramatic fall with increasing gas rate as shown by Hand et al. [7 and 8] for example. In addition the liquid hold-up is reported to show an additional variation with pipe diameter. Generally, if the initial liquid rate for the no-gas flow condition gives a liquid height below the pipe centre line, the flow patterns pass successively through the stratified (St), stratified ripple (St+R), stratified roll wave, film plus droplet (F+D) and finally the annular (A+D, A+RW, A+BTS) regimes as the gas rate is increased. Hand et al. [7 and 8] have given a detailed description of this progression in flow regime development and definitions of the patterns involved. Despite the fact that there are over one hundred models which have been developed to predict liquid hold-up, none have been shown to be universally useful, while only a handful have proven to be applicable to specific flow regimes [9, 10, 11 and 12]. One of the most intractable regimes to predict has been the stratified roll wave pattern where the liquid hold-up shows the most dramatic change with gas flow rate. It has been suggested that the momentum balance-type models, which give both hold-up and pressure drop prediction, can predict universally for all flow regimes but particularly in the case of the difficult stratified roll wave pattern. Donnelly [1] recently demonstrated that the momentum balance models experienced some difficulties in the prediction of this regime. Without going into lengthy details, these models differ in the assumed friction factor or shear stress on the surfaces within the pipe particularly at the liquid–gas interface. The Baker–Jardine model [13] when tested against the 0.0454 m i.d. data of Nguyen [2] exhibited a wide scatter for both liquid hold-up and pressure drop as shown in Fig. 1. The Andritsos–Hanratty model [14] gave better prediction of pressure drop but a wide scatter for liquid hold-up estimation (cf. Fig. 2) when tested against the 0.0935 m i.d. data of Hand [5]. The Spedding–Hand model [15], shown in Fig. 3 against the data of Hand [5], gave improved performance but was still unsatisfactory with the prediction of hold-up for stratified-type flows. The MARS model of Grolman [6] gave better prediction of hold-up (cf. Fig. 4) but deterioration in the estimation of pressure drop when tested against the data of Nguyen [2]. Thus no method is available that will accurately predict liquid hold-up across the whole range of flow patterns but particularly for the stratified plus roll wavy regime. The position is particularly unfortunate since the stratified-type regimes are perhaps the most predominant pattern found in multiphase lines.

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This paper presents a surrogate-model based optimization of a doubly-fed induction generator (DFIG) machine winding design for maximizing power yield. Based on site-specific wind profile data and the machine’s previous operational performance, the DFIG’s stator and rotor windings are optimized to match the maximum efficiency with operating conditions for rewinding purposes. The particle swarm optimization (PSO)-based surrogate optimization techniques are used in conjunction with the finite element method (FEM) to optimize the machine design utilizing the limited available information for the site-specific wind profile and generator operating conditions. A response surface method in the surrogate model is developed to formulate the design objectives and constraints. Besides, the machine tests and efficiency calculations follow IEEE standard 112-B. Numerical and experimental results validate the effectiveness of the proposed technologies.

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Background: Serious case reviews and research studies have indicated weaknesses in risk assessments conducted by child protection social workers. Social workers are adept at gathering information but struggle with analysis and assessment of risk. The Department for Education wants to know if the use of a structured decision-making tool can improve child protection assessments of risk.

Methods/design: This multi-site, cluster-randomised trial will assess the effectiveness of the Safeguarding Children Assessment and Analysis Framework (SAAF). This structured decision-making tool aims to improve social workers' assessments of harm, of future risk and parents' capacity to change. The comparison is management as usual.

Inclusion criteria: Children's Services Departments (CSDs) in England willing to make relevant teams available to be randomised, and willing to meet the trial's training and data collection requirements.

Exclusion criteria: CSDs where there were concerns about performance; where a major organisational restructuring was planned or under way; or where other risk assessment tools were in use.

Six CSDs are participating in this study. Social workers in the experimental arm will receive 2 days training in SAAF together with a range of support materials, and access to limited telephone consultation post-training. The primary outcome is child maltreatment. This will be assessed using data collected nationally on two key performance indicators: the first is the number of children in a year who have been subject to a second Child Protection Plan (CPP); the second is the number of re-referrals of children because of related concerns about maltreatment. Secondary outcomes are: i) the quality of assessments judged against a schedule of quality criteria and ii) the relationship between the three assessments required by the structured decision-making tool (level of harm, risk of (re) abuse and prospects for successful intervention).

Discussion: This is the first study to examine the effectiveness of SAAF. It will contribute to a very limited literature on the contribution that structured decision-making tools can make to improving risk assessment and case planning in child protection and on what is involved in their effective implementation.

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Software-programmable `soft' processors have shown tremendous potential for efficient realisation of high performance signal processing operations on Field Programmable Gate Array (FPGA), whilst lowering the design burden by avoiding the need to design fine-grained custom circuit archi-tectures. However, the complex data access patterns, high memory bandwidth and computational requirements of sliding window applications, such as Motion Estimation (ME) and Matrix Multiplication (MM), lead to low performance, inefficient soft processor realisations. This paper resolves this issue, showing how by adding support for block data addressing and accelerators for high performance loop execution, performance and resource efficiency over four times better than current best-in-class metrics can be achieved. In addition, it demonstrates the first recorded real-time soft ME estimation realisation for H.263 systems.

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Multi-carrier index keying (MCIK) is a recently developed transmission technique that exploits the sub-carrier indices as an additional degree of freedom for data transmission. This paper investigates the performance of a low complexity detection scheme with diversity reception for MCIK with orthogonal frequency division multiplexing (OFDM). For the performance evaluation, an exact and an approximate closed form expression for the pairwise error probability (PEP) of a greedy detector (GD) with maximal ratio combining (MRC) is derived. The presented results show that the performance of the GD is significantly improved when MRC diversity is employed. The proposed hybrid scheme is found to outperform maximum likelihood (ML) detection with a substantial reduction on the associated computational complexity.

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Der vorliegende Artikel bezieht sich auf die unterschiedlichen Begrifflichkeiten, die im Umfeld der Wettbewerberforschung in der Literatur Verwendung finden. Neben den Begriffen des angloamerikanischen Sprachraums (Competitive Intelligence, Competitor Intelligence und Competitor Analyse) existieren für den deutschsprachigen Raum (Wettbewerber-, Konkurrenten-, Wettbewerbs- und Konkurrenzanalyse) ebenfalls verschiedenartige Begriffe, denen in der Literatur eine häufig unterschiedliche Verwendung zu Teil wird. Dieser Artikel baut einen Ordnungsansatz auf, der die angesprochenen Begrifflichkeiten in eine Struktur bringt, um somit eine klare inhaltliche Trennung der einzelnen Begriffe sowie eine in Relation bringende Darstellung aufbauen zu können. Dies ermöglicht eine ambiguitätsfreie Verwendung innerhalb der wissenschaftlichen Arbeit durch definitorisch fixierte Begriffsinhalte.

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Especialmente em tempos de crise, como os que se têm vindo a viver atualmente, sobressai ainda mais a necessidade das nossas organizações serem bem geridas, e para que tal aconteça, torna-se importante medir indicadores que ajudem a acompanhar e compreender a evolução, nas diversas áreas. Para além desta conjuntura, nas últimas décadas o setor da Educação em Portugal tem-se deparado com enormes problemas e desa os, como por exemplo o nanciamento ou mais recentemente a (in)disciplina. Com este trabalho pretende-se contribuir com uma solução tecnológica, que visa em último caso a qualidade geral do ensino. Assim, na área da Educação torna-se importante, senão imperioso, dotar os decisores, com Sistemas de Apoio à Decisão que meçam indicadores de desempenho, e aumentem o grau de qualidade da informação disponibilizada a esses decisores, para que a gestão seja o mais pro ssional e rigorosa possível nas diversas vertentes, quer sejam no domínio escolar, nanceiro ou outro. A empresa Codevision tem vindo a implementar em diversas instituições de ensino e formação, o sistema de gestão escolar E-Schooling Server, um sistema de informação que dá suporte aos diversos processos de negócio dessas instituições. Com o objetivo de elevar a fasquia da qualidade na entrega de informação aos decisores da área escolar, decidiu apoiar o desenvolvimento de um sistema que complemente o E-Schooling Server. Nesse âmbito este trabalho aborda o desenvolvimento de um Sistema de Apoio à Decisão Escolar e na primeira fase subdivide-se: no desenvolvimento de um projeto de ETL automatizado, na criação de um DW, e na análise dos dados com ferramentas de BI. Na segunda fase é desenvolvida uma aplicação web, que permite ao utilizador nal a consulta de informação previamente tratada, através de grá cos. Um aspeto importante é o facto de a informação, tratada na primeira fase do trabalho, poder ser acedida e analisada através de qualquer aplicação com acesso a sistemas OLAP, não cando desta forma dependente da aplicação web. Por m, são apresentados e discutidos resultados, através de uma simulação com dados carregados no sistema desenvolvido, e que permite demonstrar a mais-valia que sistemas deste género representam, para os decisores de instituições de ensino e formação.

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Dissertação apresentada ao Instituto Politécnico do Porto para obtenção do Grau de Mestre em Gestão das Organizações, Ramo de Gestão de Empresas Orientado pela Prof.ª Doutora Maria João Martins Ferreira Major, Prof. Associada, ISCTE Business School - IUL

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Projecto para obtenção do grau de Mestre em Engenharia Informática e de computadores

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Um Sistema de Informação consiste num sistema capaz de armazenar, organizar e estruturar dados para ajudar a responder às necessidades das empresas, passando também pela capacidade de resposta às questões diárias das empresas. Assim, um Sistema de Informação pode ser definido como o software que ajuda a organizar e analisar dados, tendo como objetivo fornecer informação útil na altura certa para que possa ser utilizada para a tomada de decisões ou para uma gestão mais eficiente dos diversos fluxos que uma empresa pode conter. Neste sentido, o projeto apresentado centra-se no desenho e construção de um Sistema de Informação capaz de gerir o negócio de uma empresa do setor alimentar, mais propriamente do setor da transformação de carnes. Foi desenvolvido em Oracle ADF, de forma a aproveitar as vantagens inerentes à tecnologia e ao desenvolvimento web. Sendo uma tecnologia relativamente nova no mercado e dominada por poucos, a sua utilização neste momento pode tornar-se uma grande vantagem. Para o desenvolvimento da aplicação foi realizado o levantamento e análise de requisitos, foi criada a base de dados capaz de suportar o funcionamento do software e desenvolvido um sistema de login, capaz de gerir as sessões de cada utilizador. Foi implementado um processo de introdução e edição de informação, nomeadamente o registo de entradas, transformações e saídas. Contemplou-se também uma secção com dados mestre da empresa com a possibilidade de inserção, atualização e/ou remoção. Além disso, foram incorporadas validações em todos os processos que são usados pelos utilizadores, de modo a evitar a existência de dados incoerentes ou duplicados. Relativamente à lógica de negócio, foi embutida na aplicação de forma a permitir consultar a informação de forma clara, rápida e em diversos lugares, reduzindo tempo e tarefas ao colaborador/utilizador, visto que os processos foram automatizados. Com a implementação deste Sistema de Informação, a empresa pode usufruir de um sistema integrado capaz de gerir e controlar todo o seu processo produtivo, reduzindo custos e desperdícios, aumentando a produtividade e eficiência.