812 research outputs found

    Pebble Bed Micro Model system identification

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    Linear system identification techniques will be applied to obtain mathematical models of a simulation of the Pebble Bed Micro Model (PBMM). The PBMM is a conceptual model of the Pebble Bed Modular Reactor (PBMR), a new high temperature gas nuclear reactor. The basis of the PBMR and PBMM is a three-phase Brayton Power Generation Cycle. The Brayton cycle will in this paper be simulated by the use of Flownex, a general thermal-fluid network analysis code solver. A description of the Brayton Power Generation Cycle, as well as description of the Flownex modelling program, will also be given

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Development of an online reputation monitor by using existing components

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    Customer opinion about companies are very important and companies often get customer feedback via surveys or other official methods. Some customers prefer to voice their opinion on the internet where they take comfort in anonymity. Currently this form of customer feedback is not closely monitored. This project aims to address this shortcoming by developing a system capable of monitoring various web and social networking sites for customer feedbackhttp://tinyurl.com/os8b74

    Living green: Conference proceedings of the living green scientific conference

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    Presentaties van Livinggreen Scientific Conference: Stimulating energy efficiency in households - Comparison of the Livinggreen.eu methods to theory – Daphne Geelen Engaging households in sustainable renovation – Exploration of a complementary approach - Meijer, S.A., Geelen, D.V., Franken, V., Kersten, W.C., Crul. M.R.M From community resilience towards urban resilience: exploring the grassroot initiatives’ role in cities - Meijer, S.A., van Timmeren, A., Crul, M.R.M., Brezet, H.C. Sense of history: capturing and utilizing immaterial values for sustainable heritage protection - Franken, V., Meijer, S.A.Design EngineeringIndustrial Design Engineerin

    Intrinsic, adaptive and acquired antimicrobial resistance in Gram-negative bacteria

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    Gram-negative bacteria are responsible for a large proportion of antimicrobial-resistant infections in humans and animals. Among this class of bacteria are also some of the most successful environmental organisms. Part of this success is their adaptability to a variety of different niches, their intrinsic resistance to antimicrobial drugs and their ability to rapidly acquire resistance mechanisms. These mechanisms of resistance are not exclusive and the interplay of several mechanisms causes high levels of resistance. In this review, we explore the molecular mechanisms underlying resistance in Gram-negative organisms and how these different mechanisms enable them to survive many different stress conditions.</jats:p

    Digital video shot boundary detector investigation

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    Many algorithms have been proposed and evaluated for the detection of shot boundaries in digital video. Although these techniques have been verified, there remains a lack of standardised data to classify which techniques are best suited for certain applications. The Jensen-Shannon divergence (JSD) is one such technique used for shot boundary detection. In this article the JSD technique was adapted to handle monochromatic and RGB videos. This adaptation made it possible for the JSD technique to be evaluated in the RGB and monochromatic (grayscale) color spaces as well as the effect of video resizing in terms of recall, precision and execution timehttp://tinyurl.com/os8b74

    Parameter analysis of the Jensen-Shannon divergence for shot boundary detection in streaming media applications

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    Shot boundary detection is an integral part of multimedia, be it video management or video processing. Multiple boundary detection techniques have been developed throughout the years, but are only applicable to very specific instances. The Jensen-Shannon divergence (JSD) is one such a technique that can be implemented to detect the shot boundaries in digital videos. This paper investigates the use of the JSD algorithm to detect shot boundaries in streaming media applications. Furthermore, the effects of the various parameters used by the JSD technique, on the accuracy of the detected boundaries, are quantified by the recall and precision metrics all the while keeping track of how they affect the execution tim

    Comparison of two audio fingerprinting algorithms for advertisement identification

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    Thesis (M.Ing. (Computer and Electronical Engineering))--North-West University, Potchefstroom Campus, 2012.Although the identification of humans by fingerprints is a well–known technique in practice, the identification of an audio sample by means of a technique called audio fingerprinting is still under development. Audio fingerprinting can be used to identify different types of audio samples of which music and advertisements are the two most frequently encountered. Different audio fingerprinting techniques to identify audio samples appear seldom in the literature and direct comparisons of the techniques are not always available In this dissertation, the two audio fingerprinting techniques of Avery Wang and Haitsma and Kalker are compared in terms of accuracy, speed, versatility and scalability, with the goal of modifying the algorithms for optimal advertisement identification applications. To start the background of audio fingerprinting is summarised and different algorithms for audio fingerprinting are reviewed. Problems, issues to be addressed and research methodology are discussed. The research question is formulated as follows : “Can audio fingerprinting be applied successfully to advertisement monitoring, and if so, which existing audio fingerprinting algorithm is most suitable as a basis for a generic algorithm and how should the original algorithm be changed for this purpose?” The research question is followed by literature regarding the background of audio fingerprinting and different audio fingerprinting algorithms. Next, the importance of audio fingerprinting in the engineering field is motivated by the technical aspects related to audio fingerprinting. The technical aspects are not always necessary or part of the algorithm, but in most cases, the algorithms are pre–processed, filtered and downsampled. Other aspects include identifying unique features and storing them, on which each algorithm’s techniques differ. More detail on Haitsma and Kalker’s, Avery Wang’s and Microsoft’s RARE algorithms are then presented. Next, the desired interface for advertisement identification Graphical User Interface (GUI) is presented. Different solution architectures for advertisement identification are discussed. A design is presented and implemented which focuses on advertisement identification and helps with the validation process of the algorithm. The implementation is followed by the experimental setup and tests. Finally, the dissertation ends with results and comparisons, which verified and validated the algorithm and thus affirmed the first part of the research question. A short summary of the contribution made in the dissertation is given, followed by conclusions and recommendations for future work.Master

    Executing computation intensive algorithms on digital hardware

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    Thesis (M.Ing. (Computer and Electronical Engineering))--North-West University, Potchefstroom Campus, 2006.Even with the advancement of new technology in the field of digital signal processing, it is some times difficult to implement advanced signal processing algorithms on such technologies. When the implementation of these algorithms fails to be as effective as initially planned, the design of the system becomes an optimisation task. More often then not it is possible to review the implementation of an algorithm to run at the desired effectiveness. This task then saves on total system cost or can reduce the time to market. This dissertation investigates implementation methods for computation intensive algorithms. These methods include optimising the code for a digital signal processor and optimising the application executing the algorithm on the processor. Another method investigated is implementing the algorithm on programmable logic to provide a hardware accelerated algorithm for the system. When optimising the code for the signal processor, certain C code optimisations could be done to improve algorithm performance. When the performance gain reached a maximum while optimising the C code, the way the algorithm receives data can be optimised to further the overall application optimisation. Also by implementing the algorithm on programmable logic, such as a Field Programmable Gate Array, greatly improves the effectiveness of the algorithm since the hardware's intrinsic speed is used. However, implementing the algorithm on programmable logic can be a more tedious task than implementing it on a Digital Signal Processor. Even though significantly optimising the algorithm on the Digital Signal Processor, the desired effectiveness was not achieved. The nature of the algorithm required a constant data stream and this proved difficult to achieve. The Field Programmable Gate Array implementation proved more effective and seems to be the most viable option for this type of algorithm. Even though the programmable logic implementation is the implementation of choice for this algorithm, the research on algorithm implementation on a Digital Signal Processor proves that it is possible to implement an algorithm effectively on cheaper hardware. The hardware accelerated algorithm is always a more effective option, but adds development time to the project.Master
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