In this thesis, the conventional low voltage power line communication methods is investigated in the axis of automated meter reading applications and the classification and experimental verification of common noise types for low voltage power line communication network. The investigated system provides the real time transmission of electricity consumption data recorded by electricity meters, initially to a local computer via a low voltage line through a low speed PLC (Power Line Carrier) environment and subsequently to a corporate network through a high speed data transmission medium. The automated meter system provides a more effective tracking and data acquisition, a more detailed and vigorous knowledge about consumer behavior for subscriber assessment in electricity distribution in association with a brand new management and system supervision concept in electricity distribution control and management technology. The theoretical studies are experimentally verified for the Turkish low voltage power infrastructure through laboratory experiments performed in METU Electrical and Electronics Engineering Department, Electrical Machines and Drives Laboratory and R&amp / D Laboratories of MAKEL facilities in Hadimk&ouml / y. The single phase voltage of the mains line between the phase and neutral is monitored to exhibit the disturbing effects of various noise sources. The resulting voltage spectrum is logged by using digital data acquisition devices in time and frequency domain. The waveforms are converted to frequency domain using the Fast Fourier Transform (FFT) functions of the MATLAB. The experimental results are compared to the theoretical findings obtained through literature survey.

Functional Test of any given system is used to verify that the top level system is performing according to the specifications and all of the sub systems, i.e., hardware, software, inputs, outputs and sensors are operating properly. The term System is used here in context of any device or equipment consisting of hardware, software, sensors, virtual sensors and inputs / outputs. One of the examples of such a system is a semiconductor fabrication equipment. There have only been a few approaches that are used to perform the functional test of a system. Engineers typically develop custom test equipment to interface with the system under test and determine proper functioning of all the sub systems and behavior of overall system. In another method, domain experts, utilize the software of the system under test, and manually actuate / stimulate sub systems and then observe and record outcomes to determine whether the system exhibited correct behavior. A novel solution of a reusable functional test automation framework is developed. The framework interfaces with the system under test via the exposed API, and allow domain experts with minimal or no programming background to create test suites to methodically test overall functionality of the system. / text

A review of the developments within the field of structural reliability theory shows that some gaps still exist in the reliability prediction process and hence there is an urgent desire for improvements such that the estimated structural reliability will be capable of expressing a physical property of the given structure. The current reliability prediction process involves the continuous estimation and use of reliability index as a way of estimating the safety of any given structure. The reliability index β depends on the Probability Density Function (PDF) distribution for the wave force and the corresponding PDF of resistance from respective structural members of the given structure. The PDF for the applied wave force will depend on the PDF of water depth, wave angular velocity and wave direction hence the reliability index as currently practiced is a statistical way of managing uncertainties based on a general probabilistic model. This research on Smart Offshore Structure for Reliability Prediction has proposed the design of a measurement based reliability prediction process as a way of closing the gap on structural reliability prediction process. Structural deflection and damping are some of the measurable properties of an offshore structure and this study aims at suggesting the use of these measurable properties for improvements in structural reliability prediction process. A design case study has shown that a typical offshore structure can deflect to a range of only a few fractions of a millimetre. This implies that if we have a way of monitoring this level of deflection, we could use the results from such measurement for the detection of a structural member failure. This advocated concept is based on the hypothesis that if the original dynamic characteristics of a structure is known, that measurement based modified dynamic properties can be used to determine the onset of failure or failure propagation of the given structure. This technology could reveal the location and magnitude of internal cracks or corrosion effects on any given structure which currently is outside the current probability based approach. A simple economic analysis shows that the recommended process shows a positive net present value and that some $74mln is the Value of Information for any life extension technology that could reveal the possibility of extending the life of a given 10,000bopd production platform from 2025 to 2028.

No description available.

No description available.

Global economic trends suggest that there is a need to generate sustainable renewable energy to meet growing global energy demands. Solar energy harnessed by concentrated photovoltaic (CPV) systems has a potential for strong contributions to future energy supplies. However, as a relatively new technology, there is still a need for considerable research into the relationship between the technology and the solar resource. Research into CPV systems was carried out at the University of Ottawa’s Solar Cells and Nanostructured Device Laboratory (SUNLAB), focusing on the acquisition and assessment of meteorological and local solar resource datasets as inputs to more complex system (cell) models for energy yield assessment. An algorithm aimed at estimating the spectral profile of direct normal irradiance (DNI) was created. The algorithm was designed to use easily sourced low resolution meteorological datasets, temporal band pass filter measurement and an atmospheric radiative transfer model to determine a location specific solar spectrum. Its core design involved the use of an optical depth parameterization algorithm based on a published objective regression algorithm. Initial results showed a spectral agreement that corresponds to 0.56% photo-current difference in a modeled CPV cell when compared to measured spectrum. The common procedures and datasets used for long term CPV energy yield assessment was investigated. The aim was to quantitatively de-convolute various factors, especially meteorological factors responsible for error bias in CPV energy yield evaluation. Over the time period from June 2011 to August 2012, the analysis found that neglecting spectral variations resulted in a ~2% overestimation of energy yields. It was shown that clouds have the dominant impact on CPV energy yields, at the 60% level.

Im Rahmen dieser Arbeit wurde eine Frisch-Gitterionisationskammer zum Messen kleinster spezifischer Alphaaktivitäten realisiert. Im konkreten Fall soll der Detektor dafür genutzt werden, die Halbwertszeit von 144Nd erneut zu bestimmen. Da diese sehr lang (T1/2 = (2,29 ± 0,16) · 10^15 Jahre) und die Reichweite der emittierten Alphateilchen in Feststoffen sehr gering ist, können nur sehr dünne Proben untersucht werden. Die Fläche der Proben sollte sehr groß sein, um die nötige Aktivität zu erhalten. Im Vergleich haben sich Gitterionisationskammern als das geeignetste Detektorkonzept erwiesen. Es wurde eine Kammer realisiert, welche aus zwei Gitterionisationskammern mit geteilter Anode besteht. Mit Hilfe dieses Aufbaus ist es möglich den Detektornulleffekt zu reduzieren. Die Auslese der auf den Detektorelektroden induzierten Ladung erfolgt mit Hilfe eines Analog-Digital-Konverters. Die Auswertung der gewonnenen Daten wird vollständig nach der Messung durchgeführt. Anhand einer Pulsformanalyse können verschiedene Informationen über jedes, im Detektor stattgefundene, Ereignis gewonnen werden. So ist es möglich den Gitterdurchgriff und die damit verbundene Winkelabhängigkeit der Pulshöhen zu korrigieren und somit die Energieauflösung des Detektors zu verbessern. Es wird eine Energieauflösung von 0,86 % bei 5,1 MeV erreicht. Die Charakterisierung der Ereignisse wird außerdem für die Reduktion des Detektornulleffekts herangezogen. Aufgrund verschiedener Bedingungen, die für ein zu erwartendes Alphaereignis notwendig sind, kann ein Großteil der, die Messung störenden Ereignisse, unterdrückt werden. So kann der Nulleffekt im Energiebereich von 1 MeV bis 2,2 MeV von 435 Ereignissen pro Tag ohne Charakterisierung um etwa ein Faktor 20 auf 21,6 Ereignisse pro Tag mit Charakterisierung reduziert werden. Die Nachweiseffizienz wird davon nicht merklich beeinträchtigt. Für ausreichend lange Messzeiten ist eine Nachweisgrenze von weniger als 10 Ereignissen pro Tag zu erwarten. Für eine, für diesen Aufbau geeignete, Targetgeometrie ist mit etwa 50 Alphazerfällen des 144Nd pro Tag zu rechnen. Mit einer Nachweiseffizienz von etwas unter 50 % sollte die Messung am 144Nd gut möglich sein. / The realization of this work was the usage of a Frisch grid ionization chamber for measuring the lowest specific alpha activity. In the practical case the detector should be used to remeasure the half life of 144Nd. Only very thin targets can be used, due to the extreme long half life and the very short range of alpha particles in matter. The area of the samples must be big enough to get the required activity. In comparison gridded ionization chambers are the most practical devices. The chamber was realized in that way, that two gridded chambers shares a common anode. This could be used to minimize the detector background. The charge, which was induced in the detector electrodes, is acquired by an analog to digital converter. The full analysis of the data is done after the measurement. With the pulse form analysis it is possible to extract information about every event occurring in the detector. It is also possible to correct the grid inefficiency and the correlated angle dependence of the pulse height. This improves the energy resolution. A resolution of 0.86 % at 5.1 MeV is possible. The characterization of the events is also used for the suppression of the detector background. Due to different conditions for an assumed alpha event the majority of the events which disturbs the measurement could be removed. So it is possible to suppress the background in the range between 1 MeV to 2.2 MeV of 435 events per day without the characterization to 21.6 events per day with characterization, which is a factor of roughly 20. The detection efficiency is not noticeably effected. For sufficiently long measurements a lowest limit of detection of 10 counts per day is expectable. For a target geometry which can be used with this setup, about 50 alpha decays of 144Nd per day will occur. With a detection efficiency a bit below 50 % the measurement on Nd should be possible.

KISS (Kinematic Support System) is a locally developed gait analysis system at Middle East Technical University (METU), and the performance of the system was evaluated before as a whole. However, such evaluations do not differentiate between the efficacy of the data acquisition system and the model-based gait analysis methodology. In this thesis, kinematic results of the KISS system will be compared with those of the Ankara University based commercial VICON (Oxford Metrics Ltd., Oxford, UK) system, in view of evaluating the performance of data acquisition system and the gait analysis methodology separately. This study is expected to provide guidelines for future developments on the KISS system.

Sistemas elétricos possuem grande influência no desenvolvimento econômico mundial. Dada a importância da energia elétrica para nossa sociedade, os sistemas elétricos frequentemente são alvos de intrusões pela rede causadas pelas mais diversas motivações. Para minimizar ou até mesmo mitigar os efeitos de intrusões pela rede, estão sendo propostos mecanismos que aumentam o nível de segurança dos sistemas elétricos, como novos protocolos de comunicação e normas de padronização. Além disso, os sistemas elétricos estão passando por um intenso processo de modernização, tornando-os altamente dependentes de sistemas de rede responsáveis por monitorar e gerenciar componentes elétricos. Estes, então denominados Smart Grids, compreendem subsistemas de geração, transmissão, e distribuição elétrica, que são monitorados e gerenciados por sistemas de controle e aquisição de dados (SCADA). Nesta dissertação de mestrado, investigamos e discutimos a aplicabilidade e os benefícios da adoção de Redes Definidas por Software (SDN) para auxiliar o desenvolvimento da próxima geração de sistemas SCADA. Propomos também um sistema de detecção de intrusões (IDS) que utiliza técnicas específicas de classificação de tráfego e se beneficia de características das redes SCADA e do paradigma SDN/OpenFlow. Nossa proposta utiliza SDN para coletar periodicamente estatísticas de rede dos equipamentos SCADA, que são posteriormente processados por algoritmos de classificação baseados em exemplares de uma única classe (OCC). Dado que informações sobre ataques direcionados à sistemas SCADA são escassos e pouco divulgados publicamente por seus mantenedores, a principal vantagem ao utilizar algoritmos OCC é de que estes não dependem de assinaturas de ataques para detectar possíveis tráfegos maliciosos. Como prova de conceito, desenvolvemos um protótipo de nossa proposta. Por fim, em nossa avaliação experimental, observamos a performance e a acurácia de nosso protótipo utilizando dois tipos de algoritmos OCC, e considerando eventos anômalos na rede SCADA, como um ataque de negação de serviço (DoS), e a falha de diversos dispositivos de campo. / Power grids have great influence on the development of the world economy. Given the importance of the electrical energy to our society, power grids are often target of network intrusion motivated by several causes. To minimize or even to mitigate the aftereffects of network intrusions, more secure protocols and standardization norms to enhance the security of power grids have been proposed. In addition, power grids are undergoing an intense process of modernization, and becoming highly dependent on networked systems used to monitor and manage power components. These so-called Smart Grids comprise energy generation, transmission, and distribution subsystems, which are monitored and managed by Supervisory Control and Data Acquisition (SCADA) systems. In this Masters dissertation, we investigate and discuss the applicability and benefits of using Software-Defined Networking (SDN) to assist in the deployment of next generation SCADA systems. We also propose an Intrusion Detection System (IDS) that relies on specific techniques of traffic classification and takes advantage of the characteristics of SCADA networks and of the adoption of SDN/OpenFlow. Our proposal relies on SDN to periodically gather statistics from network devices, which are then processed by One- Class Classification (OCC) algorithms. Given that attack traces in SCADA networks are scarce and not publicly disclosed by utility companies, the main advantage of using OCC algorithms is that they do not depend on known attack signatures to detect possible malicious traffic. As a proof-of-concept, we developed a prototype of our proposal. Finally, in our experimental evaluation, we observed the performance and accuracy of our prototype using two OCC-based Machine Learning (ML) algorithms, and considering anomalous events in the SCADA network, such as a Denial-of-Service (DoS), and the failure of several SCADA field devices.

Há décadas pesquisas e diretrizes educacionais no ensino de Física apontam que nós, professores, devemos diversificar as estratégias e metodologias de aprendizagem, nos apropriando e utilizando diferentes recursos didáticos a fim de proporcionar um ensino mais plausível, que conduza a uma aprendizagem significativa por parte dos alunos. Preocupados com essa questão e com a formação dos futuros docentes, desenvolvemos uma proposta didática junto ao curso de Licenciatura em Física da Universidade de Passo Fundo, com o objetivo central de: i) conduzir os licenciandos à reflexão e discussão sobre as tecnologias na sociedade versus seu uso nas escolas e suas potencialidades, como ferramenta, para levar os alunos a atingirem várias das habilidades e competências previstas nas Orientações Educacionais Complementares aos Parâmetros Curriculares Nacionais (PCN+); ii) torná-los ativos na aprendizagem de Física com o uso de computadores; iii) reconhecer a importância do suporte de um modelo teórico na realização de atividades experimentais, assim como para a compreensão das representações dos sistemas físicos em simulações e animações computacionais. Pelo fato de nossas práticas didáticas buscarem promover nos alunos certas habilidades e competências, nos amparamos em fundamentos teóricos e metodológicos, sobre atividades experimentais, computacionais e modelagem de sistemas físicos, para nortear nossas práticas didáticas. Durante sete encontros, os alunos e professores participantes do Programa Institucional de Bolsa de Iniciação à Docência, desenvolveram seis atividades envolvendo o uso de recursos computacionais: simulações e modelagem computacionais, análise de dados com planilhas eletrônicas, aquisição de dados a partir da análise de vídeos e de recursos que fazem parte de qualquer computador como, microfone e a placa de som, e o compartilhamento online de dados. Para a aplicação da proposta, foram elaborados Guias de Atividade para os Alunos, e essas experiências são relatadas em detalhes neste trabalho. Os resultados apresentados indicam grande interesse e engajamento por parte dos alunos. Desta forma, acreditamos ter contribuído para a formação dos participantes da experiência didática, futuros docentes. O produto educacional deste trabalho consiste em um conjunto de Guias de Atividades para os Alunos e Professores que contemplam em detalhes as atividades desenvolvidas. / It’s been decades since researches and guidelines on the teaching of Physics started pointing out that we, teachers, must diversify strategies and methodologies of learning, appropriating and utilizing different didactic resources in order to provide a more plausible teaching, conducing to a meaningful learning by the students. Worried about this question and with formation of Physics teachers, a new didactic proposal was developed , and applied to undergraduate Physics´ student at the University of Passo Fundo, having as main objetives: i) promote reflections and discussions about the technologies in society versus its use in schools, and it potential to help students to reach many of the abilities and competences under the Orientações Educacionais Complementares aos Parâmetros Curriculares Nacionais (PNC+) (Brazilian Guidelines of National Education) ; ii) make the students to be active on the learning of Physics through the use of computers; iii) make them recognize the importance of the support of a theoretical model on the performing of experimental activities, as well as for the comprehension of the physical systems in simulations and computer animations. Because our didactic practices seek to promote certain abilities and competences on students, some theoretical and methodological fundaments were used as axes on experimental, computational and modeling of physical systems activities, to steer the didactical practices. In seven meetings, students and teachers participating on the Programa Institucional de Bolsa de Iniciação à Docência (Institutional Scholarship Program of Initiation on Teaching) developed six activities involving the use of computational resources: simulations and computational modeling, data analyses with electronic spreadsheets, acquisition of data through the analysis of videos and resources on any computer, such as microphones and sound card, and online data sharing. For the application of the proposal, Guides of Activity for the Students were developed, and these experiences are reported in detail on this study. The results presented indicate great interest and engaging from the students. Thus, it is believed that it contributed on the formation of the participants of the didactic experience, the future teachers. The educational product of this study consists of a set of Guides of Activities for the Students and Teachers that contemplate in detail the activities developed.