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1
Schultz, Steven Peter. "Attentional Window and Global/Local Processing." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6383.
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How does the focus of attention influence the encoding of information? Research has shown that size and allocation of the attentional window has an influence on what information is attended to or missed. The size-scale of features also effects processing of visual information. Previous research involving hierarchical stimuli suggests precedence for global features. In the present experiment, I investigated the influence of attentional window size on accuracy of encoding hierarchical stimuli at the global and local level. Here I introduce a new method for manipulating the size of the attentional window and for collecting unconstrained responses. At the start of each trial, observers tracked a dashed-line rectangular box, which either broadened or narrowed in size after onset. This sequence was immediately followed by a brief presentation of two hierarchical letters presented simultaneously on the left and right sides of the screen. The box preceding the hierarchical letters either broadened to a size large enough to include both letters at the global level, or narrowed to a size small enough to include a maximum of two letters at the local level at either side of the screen. Observers reported all letters they were able to identify. Results from two experiments indicate an overall precedence of global letters. However, a narrow attentional window reduced global precedence, as would be expected with more focused attention. The narrow windows also produced more same-side identifications of both global and local letters. The second experiment also showed that reducing the processing time decreased the global advantage.
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Golab, Lukasz. "Sliding Window Query Processing over Data Streams." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2930.
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Database management systems (DBMSs) have been used successfully in traditional business applications that require persistent data storage and an efficient querying mechanism. Typically, it is assumed that the data are static, unless explicitly modified or deleted by a user or application. Database queries are executed when issued and their answers reflect the current state of the data. However, emerging applications, such as sensor networks, real-time Internet traffic analysis, and on-line financial trading, require support for processing of unbounded data streams. The fundamental assumption of a data stream management system (DSMS) is that new data are generated continually, making it infeasible to store a stream in its entirety. At best, a sliding window of recently arrived data may be maintained, meaning that old data must be removed as time goes on. Furthermore, as the contents of the sliding windows evolve over time, it makes sense for users to ask a query once and receive updated answers over time. This dissertation begins with the observation that the two fundamental requirements of a DSMS are dealing with transient (time-evolving) rather than static data and answering persistent rather than transient queries. One implication of the first requirement is that data maintenance costs have a significant effect on the performance of a DSMS. Additionally, traditional query processing algorithms must be re-engineered for the sliding window model because queries may need to re-process expired data and "undo" previously generated results. The second requirement suggests that a DSMS may execute a large number of persistent queries at the same time, therefore there exist opportunities for resource sharing among similar queries.
The purpose of this dissertation is to develop solutions for efficient query processing over sliding windows by focusing on these two fundamental properties. In terms of the transient nature of streaming data, this dissertation is based upon the following insight. Although the data keep changing over time as the windows slide forward, the changes are not random; on the contrary, the inputs and outputs of a DSMS exhibit patterns in the way the data are inserted and deleted. It will be shown that the knowledge of these patterns leads to an understanding of the semantics of persistent queries, lower window maintenance costs, as well as novel query processing, query optimization, and concurrency control strategies. In the context of the persistent nature of DSMS queries, the insight behind the proposed solution is that various queries may need to be refreshed at different times, therefore synchronizing the refresh schedules of similar queries creates more opportunities for resource sharing.
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Wei, Mingrui. "Multi-Mode Stream Processing For Hopping Window Queries." Digital WPI, 2008. https://digitalcommons.wpi.edu/etd-theses/769.
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Window constraints are mechanisms to bound the tuples processed by continuous queries specified over unbounded data streams. While sliding window queries move the constraint window upon the arrival of each individual tuple, hopping window queries instead move the window by a fixed amount after some period, thus periodically refreshing their results. We observe that for large hops, techniques liked delta result updating may not be efficient -- as large portions of the tuples in the current window will be different from the previous window and thus must be maintained. On the other hand, the complete result updating technique, which has been found to be less suitable for sliding windows queries. Compute the next result based on the complete current window now can be shown to be superior in performance for some hopping windows queries. A trade-off emerges between the complete result method which has a lower per tuple processes cost but potentially processing redundant results versus the delta result method which has no redundant processing but pays a higher per tuple processing cost. On top of that, strict non-monotonic operators such as difference operator, cause premature expiration due to operator semantics. Negative tuples are needed for this kind of special expiration. Such negative tuples added extra burden to the stream engine. Thus, in streaming processing, the difference operator is typically suggested to be placed on top of the query plan despite its potential ability to reduce cardinality of the stream. With this thesis, we introduce a whole solution for hopping window query processing which includes an optimizer for generalized hopping window query optimization that exploits both processing techniques within one integrated query plan alone with query plan rewriting. First, we design the query operators to be multi-mode, that is, to be able to take either a delta or a complete result as input, and produce either a delta result or complete result as output. Then we design a cost model to be able to chose the optimal mode for each operator. Thirdly, our optimizer targets to configure each operator within a query plan to work in the suitable mode to achieve minimum overall processing costs. Last but not least, two query optimization techniques have been adopted. One explores all possibilities of pushing the difference down past joins using dynamic programming and assigning optimal mode at the same time, the other applies heuristic difference push down rule. The proposed techniques has been implemented within the WPI stream query engine, called CAPE. Finally, we show the benefit of our solution with a vast number of experimental results.
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Zhang, Xin. "Developing Image Processing Tools in X Window System." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4571.
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The X Window System is an industry-standard software system which facilitates programmers to develop portable graphical user interfaces. This thesis describes an image processing tool developed under the X Window System. A multiwindow image display software with image editing and improvement functions is developed. The software has four modules: environment generation, image creation, image editing and image improvement. The environment generation module creates working windows, scrollbars, dialogbox and pulldown menu buttons, and tracks mouse cursor positions. The working windows are three adjacent windows allowing display of three different images simultaneously. The dialogbox provides an interface between the user and the program, such as input new image and parameters. The pulldown menus offer various selections of image processing functions. A pair of scrollbars are also added to allow users to move the magnified image up, down, left and right so that the full picture can be viewed. The image creation module can build colormap, load image data file, convert pixel values to screen color values, create image, and display image on the screen of a workstation. The program can read either sun.rasterfile format or a plain data file. If a plain data file is detected, the software can transform it to sun.rasterfile by adding an appropriate header and a colormap. There are two kinds file saving features: screen capture and store. The screen capture allows the user to save that part of image displayed on the screen. The store function saves the entire image which may be either the screen size or bigger size image (e.g. merged or zoomed image). The image editing module is equipped with the functions for zooming (in or out) , merging, rotating and restoring images. The merge function constructs a new image based on the user selected or input image from the dialogbox. The rotation center of an image can be any point selected by user's clicking mouse button, and the rotation angle is supplied by user in the dialogbox. The image improvement module consists of some image point transformation and image enhancement functions. This software package is easier to use than existing tools for image processing. It has been used in the image processing projects and related educational purposes. The software provides a framework and can be easily extended to other potential applications.
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Silva, Asima. "Multiple continuous query processing with relative window predicates "Juggler"." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0527104-223456/.
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Thesis (M.S.)--Worcester Polytechnic Institute.Keywords: reordering predicates; multi-join operator; sliding windows; window predicates; join algorithm; continuous queries. Includes bibliographical references (p. 101-103).
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Spinosa, Vittoria. "Motor auditory interaction: a window towards associative and predictive processing." Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/669916.
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Perception can be considered as the bridge necessary to interact with the surroundings. Indeed, through our senses we are continuously exchanging information between the physical world around us and our internal models, made of prior beliefs and expectations, which allow to constantly create meanings and interpretations about the events caused by external sources or by us. Illusions and cross-modal effects are proofs of the incessant and constructive activity of the human brain. By experience, we learn also to make action-effect associations and to predict the sensory consequences of each motor act. For instance, we learn that by touching a warm object we can get burnt, thus we can predict that this action can be dangerous and avoid making it in the future. Current research is attempting to investigate the mechanisms underlying associative and predictive processing, and how these mechanisms are modulated by the sensory experience. A great deal of this research is carried out with the electroencephalogram (EEG), and some intriguing results have suggested that a dysregulation of associative and predictive processing may underlie some clinical phenomena, such as psychosis. The present PhD thesis focuses on expectation effects arising from motor-auditory interactions, in order to investigate action-effect associative and predictive processing. Two independent studies were carried out in which behavioral (action timing and action force) and electrophysiological (event-related brain potentials, ERPs) measurements were collected while participants were instructed to press different buttons that were associated with either the presentation or the omission of a sound, and with violations of these associations. Study I focused on predictive processing and aimed to investigate the matching- and mismatching-related effects between an event and an established expectation. The findings suggest that these effects are manifestations of a unitary underlying process of prediction. Study II focused on associative processing and aimed to investigate the buildup of action-effect associations, in a context in which there were no stable regularities. The findings suggest that the repetition of an action-effect contingency can foster an expectation, and that the consequences of an action can modify the action itself. Overall, the results from this thesis suggest that associative and predictive processing arising from a motor act modulate behavior and neuronal activity in a close-loop manner. That is, the motor act causes specific consequences which modulate behavior and neuronal processing, and internal action-effect associations and predictions seem to affect, in turn, the neuronal processing and the action itself.La percepción puede considerarse como el puente necesario para interactuar con el entorno. De hecho, estamos continuamente intercambiando información entre el mundo físico que nos rodea y nuestros modelos internos, formados a partir de creencias anteriores y expectativas, que permiten dar constantemente significado e interpretación a los sucesos causados por fuentes externas o por nosotros mismos. Por experiencia, aprendemos también a hacer asociaciones de acción-efecto y a predecir las consecuencias sensoriales de cada acto motor. Actualmente, se están estudiando los mecanismos subyacentes del procesamiento asociativo y predictivo, y la modulación de este procesamiento en la experiencia sensorial. En la presente tesis doctoral, nos centramos en los efectos de la expectativa derivados de la interacción motora-auditiva, con el fin de estudiar los procesos asociativos y predictivos entre acciones - efecto. Para alcanzar este objetivo, realizamos dos estudios independientes en los que registramos medidas de comportamiento (tiempo de acción y fuerza de la acción) y electrofisiológicas (potenciales evocados) mientras los participantes realizaron pulsaciones de botones que estaban asociadas con la presentación o la omisión de un sonido, y con las violaciones de estas asociaciones. El estudio I se centró en procesos predictivos consolidados y tuvo como objetivo investigar los efectos relacionados con la coincidencia y la falta de coincidencia entre un evento y una expectativa. Los resultados sugieren que estos efectos son manifestaciones del mismo proceso subyacente de predicción. El estudio II se centró en el procesamiento asociativo y tuvo como objetivo investigar la construcción de asociaciones de acción-efecto, en un contexto en el que no había regularidades establecidas. Los resultados sugieren que la repetición de una contingencia acción-efecto puede fomentar una expectativa, y que la consecuencia de una acción puede modificar la acción en sí. Los resultados sugieren que el procesamiento asociativo y predictivo que surge de un acto motor modula circularmente el comportamiento y la actividad neuronal. Es decir, el acto motor causa consecuencias específicas que modulan el comportamiento y el procesamiento neuronal, pero también las asociaciones de acción-efecto y las predicciones relacionadas parecen afectar el procesamiento neuronal y la acción en sí.
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Li, Jin. "Window Queries Over Data Streams." PDXScholar, 2008. https://pdxscholar.library.pdx.edu/open_access_etds/2675.
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Evaluating queries over data streams has become an appealing way to support various stream-processing applications. Window queries are commonly used in many stream applications. In a window query, certain query operators, especially blocking operators and stateful operators, appear in their windowed versions. Previous research work in evaluating window queries typically requires ordered streams and this order requirement limits the implementations of window operators and also carries performance penalties. This thesis presents efficient and flexible algorithms for evaluating window queries. We first present a new data model for streams, progressing streams, that separates stream progress from physical-arrival order. Then, we present our window semantic definitions for the most commonly used window operators—window aggregation and window join. Unlike previous research that often requires ordered streams when describing window semantics, our window semantic definitions do not rely on physical-stream arrival properties. Based on the window semantic definitions, we present new implementations of window aggregation and window join, WID and OA-Join. Compared to the existing implementations of stream query operators, our implementations do not require special stream-arrival properties, particularly stream order. In addition, for window aggregation, we present two other implementations extended from WID, Paned-WID and AdaptWID, to improve excution time by sharing sub-aggregates and to improve memory usage for input with data distribution skew, respectively. Leveraging our order-insenstive implementations of window operators, we present a new architecture for stream systems, OOP (Out-of- Order Processing). Instead of relying on ordered streams to indicate stream progress, OOP explicitly communicates stream progress to query operators, and thus is more flexible than the previous in-order processing (IOP) approach, which requires maintaining stream order. We implemented our order-insensitive window query operators and the OOP architecture in NiagaraST and Gigascope. Our performance study in both systems confirms the benefits of our window operator implementations and the OOP architecture compared to the commonly used approaches in terms of memory usage, execution time and latency.
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Zahiri, Saden H. (Saden Heshmatollah) 1966. "Prediction of the processing window and austemperability for austempered ductile iron." Monash University, School of Physics and Materials Engineering, 2002. http://arrow.monash.edu.au/hdl/1959.1/8408.
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Paul, Devashish. "Filterbank implementations of a window based Gabor transform for SAR processing." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/9957.
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In this thesis a Window Based Gabor Transform (WBGT) is presented that is suitable for real time digital signal processing. Other Gabor Transform approaches presented in the literature such as the Orthogonal Like Discrete Gabor Transform (OLGT) are not suitable for real time processing. The reduction in analysis time using the WBGT instead of the OLGT is proportional to the ratio of the analysis window to the signal length. Using the WBGT the number of JTF coefficients required to accurately represent the original signal is far less than when using the STFT. Two filterbank implementations for the WBGT which reduce analysis times are developed, one using serial input and the second using a parallel input, each of which computes the frequency content of the signal using N parallel band pass filters. In the case of the parallel input filterbank, the analysis times are similar to those using a Short Time Fourier Transform with FFT. The parallel input filterbank can be implemented using a matrix formulation for the N band pass filters. This approach is suitable for software implementation and results in analysis times that are lower than when using an STFT or the parallel input implementation with the bank of band pass filters. The WBGT, along with the filterbank implementations result in very accurate JTF spectra. Near perfect reconstruction of the original signal from the JTF spectra was obtained for several cases for the Gabor Transform techniques presented in this thesis. Finally, the use of the parallel input filterbank in the context of SAR processing is presented and the hardware requirements are derived and shown to be achievable using commercially available products. (Abstract shortened by UMI.)
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Henderson, Drake Hall. "Accelerated partial window imaging in an integrated vision unit." Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/16630.
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Kawakami, Sayaka. "Atypical Multisensory Integration and the Temporal Binding Window in Autism Spectrum Disorder." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263586.
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Glotfelty, Joseph Edmund. "Automatic selection of optimal window size and shape for texture analysis." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=898.
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Thesis (M.A.)--West Virginia University, 1999.Title from document title page. Document formatted into pages; contains vii, 59 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 55-59).
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Mayer, Ruben [Verfasser], and Kurt [Akademischer Betreuer] Rothermel. "Window-based data parallelization in complex event processing / Ruben Mayer ; Betreuer: Kurt Rothermel." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2018. http://d-nb.info/1156604192/34.
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McGuire, Stephanie N. "Some aspects of the auditory processing of sinusoidally rippled spectra in humans." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269304.
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Hawkins, Mikhel E. "High speed target tracking using Kalman filter and partial window imaging." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/16709.
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Teljega, Marijana. "Automatic Control of a Window Blind using EEG signals." Thesis, Högskolan Kristianstad, Avdelningen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19184.
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This thesis uses one of Brain Computer Interface (BCI) products, NeuroSky headset, to design a prototype model to control window blind by using headset’s single channel electrode. Seven volunteers performed eight different exercises while the signal from the headset was recorded. The dataset was analyzed, and exercises with strongest power spectral density (PSD) were chosen to continue to work with. Matlabs spectrogram function was used to divide the signal in time segments, which were 0.25 seconds. One segment from each of these eight exercises was taken to form different combinations which were later classified.The classification result, while using two of proposed exercises (tasks) was successful with 97.0% accuracy computed by Nearest Neighbor classifier. Still, we continued to investigate if we could use three or four thoughts to create three or four commands. The result presented lower classification accuracy when using either 3 or 4 command thoughts with performance accuracy of 92% and 76% respectively.Thus, two or three exercises can be used for constructing two or three different commands.
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Stone, David Joseph. "Optimal Composition Window of Type 410 Welding Consumables and Base Metals for Hydro-processing Applications." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149270477418846.
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Catelli, Ezio. "Representation functions in Signal Processing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13530/.
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Scopo dell'elaborato è presentare la trasformata windowed seguendo un approccio di modellizzazione matematica. La parte di teoria verte sui contenuti fondamentali e di specifico interesse per la trattazione nel capo della signal analysis di short-time Fourier transform e Wigner-Ville distribution. La parte di pratica presenta esempi svolti al calcolatore.
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Hsieh, Chao-Ho. "Implementation of graph manipulation under X Window system environment." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/834634.
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In graph theory graphs are mathematical objects that can be used to model networks, data structures, process scheduling, computations and a variety of other systems where the relations between the objects in the system play a dominant role.We will now consider graphs as mathematically self-contained units with rich structure and comprehensive theory; as models for many phenomena, particularly those arising in computer systems; and as structures which can be processed by a variety of sophisticated and interesting algorithms.For graph theory presentation, we need a very good graphical user interface(GUI) to approach the goal. X Window system is ideally suited for such a purpose. This package program is based on X Window system environment. With this package, we can manipulate graphs by special functions which can put nodes, put edges, delete nodes, delete edges, change the whole graph size, move graph location, and modify edge weights.Department of Computer Science
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McCloy, John S. "Properties and Processing of Chemical Vapor Deposited Zinc Sulfide." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194010.
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The structure and properties of chemical vapor deposited zinc sulfide (CVD ZnS) were assessed before and after heat treatments, involving different annealing and hot isostatic pressing (HIPing) profiles. Samples were characterized using optical microscopy, SEM, TEM, electron diffraction, polycrystalline and powder x-ray diffraction, x-ray chemical microanalysis, photoluminescence, ultraviolet through longwave infrared transmission, and mechanical testing. Before heat treatment, CVD ZnS consists of lamellar twinned structures in 10 to 100 nm layers aggregated into domains which compose grains typically 5 to 10 μm in diameter with an overall crystallographic texture on the {100} planes. The scattering behavior of CVD ZnS was investigated and described by a surface scattering model based on internal surface roughness and refractive index variations due to onedimensional stacking disorder. The two to five percent hexagonality measured by x-ray diffraction is believed to form due to oxygen impurities at the twin boundaries which cause nanostructural polytypism and result in differential refractive index and scattering. CVD ZnS variants in low temperature deposited red ZnS and sulfur precursor elemental ZnS are examined as well. Color in CVD ZnS is believed to be due to band edge position, probably due to oxygen content, and not directly related to the hydride absorption at 6 μm. After annealing or hot isostatic pressing above 850 °C for sufficient time, CVD ZnS recrystallizes and becomes strongly textured on the {111} planes. This recrystallization is required to remove stacking disorder, resulting in a structure with less than half a percent hexagonality and low visible scattering. The recrystallization is believed to proceed by diffusing the oxygen at the nano-twin boundaries back into the lattice, thus unpinning the boundaries and allowing them to move and grow into the tabular recrystallized morphology by polytype induced exaggerated grain growth. The presence of active metals like platinum, silver, copper, or nickel during hot isostatic pressing causes a reaction with sulfur and lowers the temperature required for recrystallization. The optical scattering model is consistent in describing standard CVD ZnS, elemental ZnS, and multispectral recrystallized ZnS as having successively lower birefringence at internal surfaces.
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Tye, Thomas N. "Application of digital signal processing methods to very high frequency omnidirectional range (VOR) signals in the design of an airborne flight measurement system." Ohio University / OhioLINK, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1177702951.
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Dittinger, Eva Maria. "From auditory perception to memory : musicianship as a window into novel word learning." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0513/document.
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Les avantages liés à la formation musicale transfèrent au traitement du langage, et à certaines fonctions perceptives et cognitives. Nous examinons si cette formation facilite aussi l'apprentissage de mots nouveaux au long de la vie. Les enfants «musiciens» et les jeunes musiciens professionnels surpassent les participants de contrôle dans une série d’expériences, avec une plasticité cérébrale plus rapide, et une connectivité fonctionnelle plus forte, mesurées par électroencéphalographie. Les résultats des musiciens plus âgés sont moins clairs, suggérant un impact limité de la formation musicale sur le déclin cognitif. Enfin, les jeunes musiciens ont une meilleure mémoire à long terme des nouveaux mots, ce qui contribuerait à expliquer l’avantage observé. Ces effets de transfert de la formation musicale au niveau sémantique et de la mémoire à long terme révèlent l’importance des fonctions cognitives générales et ouvrent de nouvelles perspectives pour l’éducation et la rééducationBased on results evidencing music training-related advantages on speech processing, perceptive and cognitive functions, we examine whether music training facilitates novel word learning throughout the lifespan. We show that musically-trained children and young professional musicians outperform controls in a series of experiments, with faster brain plasticity and stronger functional connectivity, as measured by electroencephalography. By contrast, advantages for old adult musicians are less clear-cut, suggesting a limited impact of music training to counteract cognitive decline. Finally, young musicians show better long-term memory for novel words, which possibly contributes, along with better auditory perception and attention, to their advantage in word learning. By showing transfer effects from music training to semantic processing and long-term memory, results reveal the importance of domain-general cognitive functions and open new perspectives for education and rehabilitation
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Bahmann, Helge. "A network transparent, retained mode multimedia processing framework for the Linux operating system environment." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2009. http://nbn-resolving.de/urn:nbn:de:bsz:105-967869.
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Die Arbeit präsentiert ein Multimedia-Framework für Linux, das im Unterschied zu früheren Arbeiten auf den Ideen "retained-mode processing" und "lazy evaluation" basiert: Statt Transformationen unmittelbar auszuführen, wird eine abstrakte Repräsentation aller Medienelemente aufgebaut. "renderer"-Treiber fungieren als Übersetzer, die diese Darstellung zur Laufzeit in konkrete Operationen umsetzen, wobei das Datenmodell zahlreiche Optimierungen zur Reduktion der Anzahl der Schritte oder der Minimierung von Kommunikation erlaubt. Dies erlaubt ein stark vereinfachtes Programmiermodell bei gleichzeitiger Effizienzsteigerung. "renderer"-Treiber können zur Ausführung von Transformationen den lokalen Prozessor verwenden, oder können die Operationen delegieren. In der Arbeit wird eine Erweiterung des X Window Systems um Mechanismen zur Medienverarbeitung vorgestellt, sowie ein "renderer"-Treiber, der diese zur Delegation der Verarbeitung nutzt.
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Pyon, Okmin. "The data processing to detect correlated movement of Cerebral Palsy patient in early phase." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/64776.
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The early diagnosis of CP (Cerebral Palsy) in infants is important for developing meaningful interventions. One of the major symptoms of the CP is lack of the coordinated movements of a baby. The bilateral coordinated movement (BCM) is that a baby shows in the early development stage. Each limb movement shows various ranges of speed and angle with fluency in a normal infant. When a baby has CP the movements are cramped and more synchronized.
A quantitative method is needed to diagnose the BCM. Data is collected from 3-axis accelerometers, which are connected, to each limb of the baby. Signal processing the collected data using short time Fourier transforms, along with the formation of time-dependent transfer functions and the coherence property is the key to the diagnostic approach. Combinations of each limb's movement and their relationship can represent the correlated movement. Data collected from a normal baby is used to develop the technique for identifying the fidgety movement. Time histories and the resulting diagnostic tool are presented to show the regions of the described movement. The evaluation of the transduction approach and the analysis is discussed in detail.
The application of the quantitative tool for the early diagnosis of CP offers clinicians the opportunity to provide interventions that may reduce the debilitating impact this condition has on children. Tools such as this can also be used to assess motor development in infants and lead to the identification and early intervention for other conditions.Master of Science
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Garai, Szabolcs. "Variabilní segmentace pro zpracování zvukových signálů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218560.
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This paper describes the methods used mainly in the filtration of audio signals -- noise reduction. It realizes segmentation with variable lenght of segment, constant overlap add and segmentation with variable lenght of segment and overlap add. These methods are then compared with comon methods of segmentation in dependance of the lenght of segment and used window function by the thresholding method. For this purpose it uses the database of audio records. In the first part it desrcibes the technique of audio signal processing with comon method of segmentation. According to this method it continues in design of signal processing by variable segmentation method, in which it is needed to modify the shape of window function, which influences and attributes are explained in next chapter. In practical part it describes the implemented methods in MATLAB programming language with each steps of testing. It continues with chart of enclosed files and the evaluation of the results of hearing tests.
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Löfgren, Isabelle. "Interharmonic Analysis of Sustainable Energy Sources and Loads : Comparing two signal processing methods for estimation of interharmonics." Thesis, Högskolan Dalarna, Energiteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34236.
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In this report, studies on interharmonics from three different measurement sites are performed. The first site is a wind park with three turbines, where the measurements are performed at the point of common coupling of these three. The second site is a network which consists of a PV inverter and two types of EV chargers – a DC charger or an AC charger. Measurements are performed with three different set-ups in this site – only AC charger connected, only DC charger connected, and AC charger and PV inverter connected simultaneously. The third site where measurements were made is a microgrid using frequency control in order to signal how the microgrid should operate at the moment. The interharmonic analysis was conducted using desynchronized processing technique (DP) and Sliding-Window Estimation of Signal Parameters via Rotational Invariance Techniques (SlidingWindow ESPRIT or SWESPRIT). The result from the wind park is that closely and evenly spaced interharmonics can be seen when the current suddenly increases (could be fast variations in wind speed). It is however uncertain if these interharmonics are caused by spectral leakage or not since SWESPRIT estimates the fundamental frequency to vary drastically when wind speed varies. It is observed that the SWESPRIT estimation of fundamental frequency could be caused by sudden changes in phase angle as the current varies. Further investigation and analysis are needed. The result from the measurements on the site with EV chargers and a PV inverter is that eight distinct patterns can be observed. Some patterns appear to come from the upstream grid, while some appear to be caused by either one of the EV chargers or the PV inverter, or interaction between them. Further studies are needed. The result from the microgrid measurements is that two distinct patterns at high frequencies (above 1000 Hz) can be observed during grid connected mode and island mode, respectively. During transitions between grid connection and island mode or vice versa, the fundamental frequency varies drastically, and it is therefore hard to analyse potential interharmonics and draw inferences. Further studies are needed. Advantages and disadvantages, as well as ideas for improvements, of the two applied signal processing methods are discussed throughout the different case-studies.
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KHALIDUZZAMAN. "Non-destructive Classification of Chick Embryos Based on Heartbeat, Body Motility and Growth Using Signal Processing of Near-infrared Light." Kyoto University, 2019. http://hdl.handle.net/2433/244555.
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Kyoto University (京都大学)0048
新制・課程博士
博士(農学)
甲第22074号
農博第2366号
新制||農||1072(附属図書館)
学位論文||R1||N5228(農学部図書室)
京都大学大学院農学研究科地域環境科学専攻
(主査)教授 近藤 直, 准教授 小川 雄一, 教授 飯田 訓久
学位規則第4条第1項該当
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Rankine, Luke. "Newborn EEG seizure detection using adaptive time-frequency signal processing." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16200/.
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Dysfunction in the central nervous system of the neonate is often first identified through seizures. The diffculty in detecting clinical seizures, which involves the observation of physical manifestations characteristic to newborn seizure, has placed greater emphasis on the detection of newborn electroencephalographic (EEG) seizure. The high incidence of newborn seizure has resulted in considerable mortality and morbidity rates in the neonate. Accurate and rapid diagnosis of neonatal seizure is essential for proper treatment and therapy. This has impelled researchers to investigate possible methods for the automatic detection of newborn EEG seizure. This thesis is focused on the development of algorithms for the automatic detection of newborn EEG seizure using adaptive time-frequency signal processing. The assessment of newborn EEG seizure detection algorithms requires large datasets of nonseizure and seizure EEG which are not always readily available and often hard to acquire. This has led to the proposition of realistic models of newborn EEG which can be used to create large datasets for the evaluation and comparison of newborn EEG seizure detection algorithms. In this thesis, we develop two simulation methods which produce synthetic newborn EEG background and seizure. The simulation methods use nonlinear and time-frequency signal processing techniques to allow for the demonstrated nonlinear and nonstationary characteristics of the newborn EEG. Atomic decomposition techniques incorporating redundant time-frequency dictionaries are exciting new signal processing methods which deliver adaptive signal representations or approximations. In this thesis we have investigated two prominent atomic decomposition techniques, matching pursuit and basis pursuit, for their possible use in an automatic seizure detection algorithm. In our investigation, it was shown that matching pursuit generally provided the sparsest (i.e. most compact) approximation for various real and synthetic signals over a wide range of signal approximation levels. For this reason, we chose MP as our preferred atomic decomposition technique for this thesis. A new measure, referred to as structural complexity, which quantifes the level or degree of correlation between signal structures and the decomposition dictionary was proposed. Using the change in structural complexity, a generic method of detecting changes in signal structure was proposed. This detection methodology was then applied to the newborn EEG for the detection of state transition (i.e. nonseizure to seizure state) in the EEG signal. To optimize the seizure detection process, we developed a time-frequency dictionary that is coherent with the newborn EEG seizure state based on the time-frequency analysis of the newborn EEG seizure. It was shown that using the new coherent time-frequency dictionary and the change in structural complexity, we can detect the transition from nonseizure to seizure states in synthetic and real newborn EEG. Repetitive spiking in the EEG is a classic feature of newborn EEG seizure. Therefore, the automatic detection of spikes can be fundamental in the detection of newborn EEG seizure. The capacity of two adaptive time-frequency signal processing techniques to detect spikes was investigated. It was shown that a relationship between the EEG epoch length and the number of repetitive spikes governs the ability of both matching pursuit and adaptive spectrogram in detecting repetitive spikes. However, it was demonstrated that the law was less restrictive forth eadaptive spectrogram and it was shown to outperform matching pursuit in detecting repetitive spikes. The method of adapting the window length associated with the adaptive spectrogram used in this thesis was the maximum correlation criterion. It was observed that for the time instants where signal spikes occurred, the optimal window lengths selected by the maximum correlation criterion were small. Therefore, spike detection directly from the adaptive window optimization method was demonstrated and also shown to outperform matching pursuit. An automatic newborn EEG seizure detection algorithm was proposed based on the detection of repetitive spikes using the adaptive window optimization method. The algorithm shows excellent performance with real EEG data. A comparison of the proposed algorithm with four well documented newborn EEG seizure detection algorithms is provided. The results of the comparison show that the proposed algorithm has significantly better performance than the existing algorithms (i.e. Our proposed algorithm achieved a good detection rate (GDR) of 94% and false detection rate (FDR) of 2.3% compared with the leading algorithm which only produced a GDR of 62% and FDR of 16%). In summary, the novel contribution of this thesis to the fields of time-frequency signal processing and biomedical engineering is the successful development and application of sophisticated algorithms based on adaptive time-frequency signal processing techniques to the solution of automatic newborn EEG seizure detection.
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Ren, Peng. "Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/838.
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Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet.
In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment (“relaxation” vs. “stress”) are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90.
For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation).
In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the “relaxation” vs. “stress” states.
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Weise, Annekathrin, Sabine Grimm, Nelson J. Trujillo-Barreto, and Erich Schröger. "Timing matters." Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-146962.
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The human central auditory system can automatically extract abstract regularities from a variant auditory input. To this end, temporarily separated events need to be related. This study tested whether the timing between events, falling either within or outside the temporal window of integration (~350 ms), impacts the extraction of abstract feature relations. We utilized tone pairs for which tones within but not across pairs revealed a constant pitch relation (e.g., pitch of second tone of a pair higher than pitch of first tone, while absolute pitch values varied across pairs). We measured the mismatch negativity (MMN; the brain’s error signal to auditory regularity violations) to second tones that rarely violated the pitch relation (e.g., pitch of second tone lower). A Short condition in which tone duration (90 ms) and stimulus onset asynchrony between the tones of a pair were short (110 ms) was compared to two conditions, where this onset asynchrony was long (510 ms). In the Long Gap condition, the tone durations were identical to Short (90 ms), but the silent interval was prolonged by 400 ms. In Long Tone, the duration of the first tone was prolonged by 400 ms, while the silent interval was comparable to Short (20 ms). Results show a frontocentral MMN of comparable amplitude in all conditions. Thus, abstract pitch relations can be extracted even when the within-pair timing exceeds the integration period. Source analyses indicate MMN generators in the supratemporal cortex. Interestingly, they were located more anterior in Long Gap than in Short and Long Tone. Moreover, frontal generator activity was found for Long Gap and Long Tone. Thus, the way in which the system automatically registers irregular abstract pitch relations depends on the timing of the events to be linked. Pending that the current MMN data mirror established abstract rule representations coding the regular pitch relation, neural processes building these templates vary with timing.
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Zhu, Yali. "Dynamic optimization and migration of continuous queries over data streams." Link to electronic dissertation, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-082306-133807/.
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Dissertation (Ph.D.)--Worcester Polytechnic Institute.Keywords: Query optimization, data streams, runtime query adaptations, continuous queries, plan migration, distributed query processing, window constraints. Includes bibliographical references (p. 313 - 319 ).
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Gross, Lara M. "Wordperfect 6.1 for Windows work sample /." Online version, 1998. http://www.uwstout.edu/lib/thesis/1998/1998grossl.pdf.
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Jbantova, Mariana G. "State spill policies for state intensive continuous query plan evaluation." Link to ETD, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-050207-222839/.
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George, Kiranraj. "Design and Performance Evaluation of 1 Giga Hertz Wideband Digital Receiver." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1183662240.
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Draisbach, Uwe, Felix Naumann, Sascha Szott, and Oliver Wonneberg. "Adaptive windows for duplicate detection." Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/5300/.
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Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively. This task is difficult, because (i) representations might differ slightly, so some similarity measure must be defined to compare pairs of records and (ii) data sets might have a high volume making a pair-wise comparison of all records infeasible. To tackle the second problem, many algorithms have been suggested that partition the data set and compare all record pairs only within each partition. One well-known such approach is the Sorted Neighborhood Method (SNM), which sorts the data according to some key and then advances a window over the data comparing only records that appear within the same window.
We propose several variations of SNM that have in common a varying window size and advancement. The general intuition of such adaptive windows is that there might be regions of high similarity suggesting a larger window size and regions of lower similarity suggesting a smaller window size. We propose and thoroughly evaluate several adaption strategies, some of which are provably better than the original SNM in terms of efficiency (same results with fewer comparisons).Duplikaterkennung beschreibt das Auffinden von mehreren Datensätzen, die das gleiche Realwelt-Objekt repräsentieren. Diese Aufgabe ist nicht trivial, da sich (i) die Datensätze geringfügig unterscheiden können, so dass Ähnlichkeitsmaße für einen paarweisen Vergleich benötigt werden, und (ii) aufgrund der Datenmenge ein vollständiger, paarweiser Vergleich nicht möglich ist. Zur Lösung des zweiten Problems existieren verschiedene Algorithmen, die die Datenmenge partitionieren und nur noch innerhalb der Partitionen Vergleiche durchführen. Einer dieser Algorithmen ist die Sorted-Neighborhood-Methode (SNM), welche Daten anhand eines Schlüssels sortiert und dann ein Fenster über die sortierten Daten schiebt. Vergleiche werden nur innerhalb dieses Fensters durchgeführt. Wir beschreiben verschiedene Variationen der Sorted-Neighborhood-Methode, die auf variierenden Fenstergrößen basieren. Diese Ansätze basieren auf der Intuition, dass Bereiche mit größerer und geringerer Ähnlichkeiten innerhalb der sortierten Datensätze existieren, für die entsprechend größere bzw. kleinere Fenstergrößen sinnvoll sind. Wir beschreiben und evaluieren verschiedene Adaptierungs-Strategien, von denen nachweislich einige bezüglich Effizienz besser sind als die originale Sorted-Neighborhood-Methode (gleiches Ergebnis bei weniger Vergleichen).
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Alhashim, Fadhel. "Seismic data processing with the parallel windowed curvelet transform." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/14179.
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The process of obtaining high quality seismic images is very challenging when exploring new areas that have high complexities. The to be processed seismic data comes from the field noisy and commonly incomplete. Recently, major advances were accomplished in the area of coherent noise removal, for example, Surface Related Multiple Elimination (SRME). Predictive multiple elimination methods, such as SRME, consist of two steps: The first step is the prediction step, in this step multiples are predicted from the seismic data. The second step is the separation step in which primaries and multiples are separated. A recent robust Bayesian wavefield separation method have been recently introduced to improve on the separation by matching methods. This method utilizes the effectiveness of using the curvelet transform in processing seismic images. A considerable problem in the seismic processing field is the fact that seismic data are large and require a correspondingly large memory size and processing time. The fact that curvelets are redundant also increases the need for large memory to process seismic data. In this thesis we propose a parallel aproach based windowing operator that divides large seismic data into smaller more managable datasets that can fit in memory so that it is possible to apply the Bayesian separation process in parallel with minimal harm to the image quality and data integrity. However, by dividing the data, we introduce discontinuities. We take these discontinuities into account and compare two ways that different windows may communicate. The first method is to communicate edge information at only two steps, namely, data scattering and gathering processes while applying the multiple separation on each window separately. The second method is to define our windowing operator as a global operator, which exchanges window edge information at each forward and inverse curvelet transform. We discuss the tradeoff between the two methods trying to minimize complexity and I/O time spent in the process. We test our windowing operator on a seismic denoising problem and then apply the windowing operator on our sparse-domain Bayesian primary-multiple separation.
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PINTO, LUCIO C. M. "Quantikov um analisador microestrutural para o ambiente windows sup (TM)." reponame:Repositório Institucional do IPEN, 1996. http://repositorio.ipen.br:8080/xmlui/handle/123456789/10475.
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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
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Williamson, Lance K. "ROPES : an expert system for condition analysis of winder ropes." Master's thesis, University of Cape Town, 1990. http://hdl.handle.net/11427/15982.
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Includes bibliographical references.This project was commissioned in order to provide engineers with the necessary knowledge of steel wire winder ropes so that they may make accurate decisions as to when a rope is near the end of its useful life. For this purpose, a knowledge base was compiled from the experience of experts in the field in order to create an expert system to aid the engineer in his task. The EXSYS expert system shell was used to construct a rule-based program which would be run on a personal computer. The program derived in this thesis is named ROPES, and provides information as to the forms of damage that may be present in a rope and the effect of any defects on rope strength and rope life. Advice is given as to the procedures that should be followed when damage is detected as well as the conditions which would necessitate rope discard and the urgency with which the replacement should take place. The expert system program will provide engineers with the necessary expertise and experience to assess, more accurately than at present, the condition of a winder rope. This should lead to longer rope life and improved safety with the associated cost savings. Rope assessment will also be more uniform with changes to policy being able to be implemented quickly and on an ongoing basis as technology and experience improves. The program ROPES, although compiled from expert knowledge, still requires the further input of personal opinions and inferences to some extent. For this reason, the program cannot be assumed infallible and must be used as an aid only.
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Thomson, Darren, Gilles Hennenfent, Henryk Modzelewski, and Felix J. Herrmann. "A parallel windowed fast discrete curvelet transform applied to seismic processing." Society of Exploration Geophysicists, 2006. http://hdl.handle.net/2429/544.
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We propose using overlapping, tapered windows to process seismic data in parallel. This method consists of numerically tight linear operators and adjoints that are suitable for use in iterative algorithms. This method is also highly scalable and makes parallel processing of large seismic data sets feasible. We use this scheme to define the Parallel Windowed Fast Discrete Curvelet Transform (PWFDCT), which we apply to a seismic data interpolation algorithm. The successful performance of our parallel processing scheme and algorithm on a two-dimensional synthetic data is shown.
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Leichner, Ted, Stephen J. Nicolo, Ed Snyder, Mark Stacy, and Charles Ziegler. "ADVANCED TELEMETRY PROCESSING AND DISPLAY SYSTEM (ATPDS)." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608270.
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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, CaliforniaThis paper describes a PC-based Advanced Telemetry Processing and Display System (ATPDS)- a highend, real-time telemetry processing and display system implemented on a COTS PC platform. for A network-centric architecture was chosen from candidate architectures as the most viable for the ATPDS. The network-centric architecture is Windows NT-based, client/server based, supporting clients and servers on both local or remote PC workstations. The architecture supports distributing processing loads across multiple workstations, optimizing mission processing requirements. The advantage of this system is its flexibility and expandability with low acquisition and life-cycle support costs. The ATPDS allows the user to configure one or more small systems into a larger high-end system based on varying mission requirements.
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Easwaran, Gopalakrishnan. "Design and development of a vehicle routing system under capacity, time-windows and rush-order reloading considerations." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/1143.
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The purpose of this research is to present the design and development of a routing system, custom developed for a fence manufacturing company in the continental US. The objective of the routing module of the system is to generate least cost routes from the home-center of the company to a set of delivery locations. Routes are evolved for a set of customer locations based on the sales order information and are frequently modified to include rush orders. These routes are such that each delivery is made within a given time window. Further, total truckload of all delivery locations over any particular route is not allowed to exceed the weight and volume capacities of the truck.
The basic system modules such as user interface functions and database are designed using MS Access 2000. An interface module to retrieve data from existing ERP system of the company is developed to import pick-ticket information. A customer inter-distance maintenance module is designed with the abilities of a learning tool to reduce information retrieval time between the routing system and the GIS server. The Graphical User Interface with various screen forms and printable reports is developed along with the routing module to achieve complete system functionality and to provide an efficient logistics solution.
This problem, formulated as a mixed-integer program, is of particular interest due to its generality to model problem scenarios in the production shop such as job-shop scheduling, material handling, etc. This problem is coded and solved for instances with different input parameters using AMPL/CPLEX. Results of test runs for the company data show that the solution time increases exponentially with the number of customers. Hence, a heuristic approach is developed and implemented. Sample runs with small instances are solved for optimality using AMPL/CPLEX and are used to compare the performance of the heuristics. However, test runs solved using the heuristics for larger instances are compared with the manual routing costs. The comparison shows a considerable cost savings for heuristic solutions. Further, a what-if analysis module is implemented to aid the dispatcher in choosing input parameters based on sensitivity analysis. In conclusion, further improvement of the routing system and future research directions are proposed.
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Samandari, Rohan. "Integration of Bluetooth Sensors in a Windows-Based Research Platform." Thesis, Malmö universitet, Institutionen för datavetenskap och medieteknik (DVMT), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43037.
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This thesis describes how to build a solution for transmitting data from an Electroencephalography (EEG) device to a server in real-time while guiding the user through a number of predefined exercises. This solution will be used by Spinal Cord Injury (SCI) patients suffering from neuropathic pain, in order to understand if it is possible to predict such pain from EEG. The collected data will help clinicians analyze the brain activity data from patients who can submit the data from their home. To accomplish this development task, an application was built that connects to a portable EEG device, gather brain activity data from patients, guides patients through a set of imaginary tasks and sends the data to a server. This project made use of a Software Development Kit (SDK) for the Python programming language and a web sockets server written in JavaScript. The application was tested both in terms of usability and end-to-end latency, showing high usability and low latency. The proposed solution will support a clinical trial in Spain with 40 SCI patients.
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Schumacher, Gary A. "A modular Network Architecture for Lower Cost, High Performance Telemetry Processing." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/607526.
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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, NevadaThere is a continuing need in the aerospace industry for lower cost and more maintainable telemetry data processing systems that can deliver a high level of performance. While systems based on the Intel family of x86 processors and Microsoft operating systems have seen increasing use in lower performance and portable applications, UNIX/VME based systems have been necessary to achieve required performance in higher end, multi-stream applications. Recent developments in the computer industry now promise lower cost alternative to these systems. With currently available technology, it is now possible to provide a powerful distributed processor architecture based entirely on commercial products. The system takes advantage of the latest of Intel Pentium processors, the PCI bus, 100BaseT Fast Ethernet, Microsoft Windows NT, ActiveX technology and NT servers. The architecture offers both current and future cost advantages for test facilities which must support a diverse set of requirements and which must maintain and support systems for many years.
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Lindell, David. "Process Mapping for Laser Metal Deposition of Wire using Thermal Simulations : A prediction of material transfer stability." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85474.
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Additive manufacturing (AM) is a quickly rising method of manufacturing due to its ability to increase design freedom. This allows the manufacturing of components not possible by traditional subtractive manufacturing. AM can greatly reduce lead time and material waste, therefore decreasing the cost and environmental impact. The adoption of AM in the aerospace industry requires strict control and predictability of the material deposition to ensure safe flights. The method of AM for this thesis is Laser Metal Deposition with wire (LMD-w). Using wire as a feedstock introduces a potential problem, the material transfer from the wire to the substrate. This requires all process parameters to be in balance to produce a stable deposition. The first sign of unbalanced process parameters are the material transfer stabilities; stubbing and dripping. Stubbing occurs when the energy to melt the wire is too low and the wire melts slower than required. Dripping occurs when too much energy is applied and the wire melts earlier than required. These two reduce the predictability and stability that is required for robust manufacturing. Therefore, the use of thermal simulations to predict the material transfer stability for LMD-w using Waspaloy as the deposition material has been studied. It has been shown that it is possible to predict the material transfer stability using thermal simulations and criterions based on preexisting experimental data. The criterion for stubbing checks if the completed simulation result produces a wire that ends below the melt pool. For dripping two criterions shows good results, the dilution ratio is a good predictor if the tool elevation remains constant. If there is a change in tool elevation the dimensionless slenderness number is a better predictor. Using these predictive criterions it is possible to qualitatively map the process window and better understand the influence of tool elevation and the cross-section of the deposited material.Additiv tillverkning (AT) är en kraftigt växande tillverkningsmetod på grund av sin flexibilitet kring design och möjligheten att skapa komponenter som inte är tillverkningsbara med traditionell avverkande bearbetning. AT kan kraftigt minska tid- och materialåtgång och på så sett minskas kostnader och miljöpåverkan. Införandet av AT i flyg- och rymdindustrin kräver strikt kontroll och förutsägbarhet av processen för att försäkra sig om säkra flygningar. Lasermetalldeponering av tråd är den AT metod som hanteras i denna uppsats. Användandet av tråd som tillsatsmaterial skapar ett potentiellt problem, materialöverföringen från tråden till substratet. Detta kräver att alla processparametrar är i balans för att få en jämn materialöverföring. Är processen inte balanserad syns detta genom materialöverföringsstabiliteterna stubbning och droppning. Stubbning uppkommer då energin som tillförs på tråden är för låg och droppning uppkommer då energin som tillförs är för hög jämfört med vad som krävs för en stabil process. Dessa två fenomen minskar möjligheterna för en kontrollerbar och stabil tillverkning. På grund av detta har användandet utav termiska simuleringar för att prediktera materialöverföringsstabiliteten för lasermetalldeponering av tråd med Waspaloy som deponeringsmaterial undersökts. Det har visat sig vara möjligt att prediktera materialöverföringsstabiliteten med användning av termiska simuleringar och kriterier baserat på tidigare experimentell data. Kriteriet för stubbning kontrolleras om en slutförd simulering resulterar i en tråd som når under smältan. För droppning finns två fungerande kriterier, förhållandet mellan svetshöjd och penetrationsdjup om verktygshöjden är konstant, sker förändringar i verktygshöjden är det dimensionslös ”slenderness” talet ett bättre kriterium. Genom att använda dessa kriterier är det möjligt att kvalitativt kartlägga processfönstret och skapa en bättre förståelse för förhållandet mellan verktygshöjden och den deponerade tvärsnittsarean.
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Hart, Dennis L., Johnny J. Pappas, and John E. Lindegren. "Desktop GPS Analyst Standardized GPS Data Processing and Analysis on a Personal Computer." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611424.
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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, CaliforniaIn the last few years there has been a proliferation of GPS receivers and receiver manufacturers. Couple this with a growing number of DoD test programs requiring high accuracy Time-Space-Position-Information (TSPI) with diminishing test support funds and/or needing a wide area, low altitude or surface tracking capability. The Air Force Development Test Center (AFDTC) recognized the growing requirements for using GPS in test programs and the need for a low cost, portable TSPI processing capability which sparked the development of the Desktop GPS Analyst. The Desktop GPS Analyst is a personal computer (PC) based software application for the generation of GPS-based TSPI.
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Carvalho, Danilo Codeco. "Obtenção de padrões sequenciais em data streams atendendo requisitos do Big Data." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8280.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
The growing amount of data produced daily, by both businesses and individuals in the web, increased the demand for analysis and extraction of knowledge of this data. While the last two decades the solution was to store and perform data mining algorithms, currently it has become unviable even to supercomputers. In addition, the requirements of the Big Data age go far beyond the large amount of data to analyze. Response time requirements and complexity of the data acquire more weight in many areas in the real world. New models have been researched and developed, often proposing distributed computing or different ways to handle the data stream mining. Current researches shows that an alternative in the data stream mining is to join a real-time event handling mechanism with a classic mining association rules or sequential patterns algorithms. In this work is shown a data stream mining approach to meet the Big Data response time requirement, linking the event handling mechanism in real time Esper and Incremental Miner of Stretchy Time Sequences (IncMSTS) algorithm. The results show that is possible to take a static data mining algorithm for data stream environment and keep tendency in the patterns, although not possible to continuously read all data coming into the data stream.
O crescimento da quantidade de dados produzidos diariamente, tanto por empresas como por indivíduos na web, aumentou a exigência para a análise e extração de conhecimento sobre esses dados. Enquanto nas duas últimas décadas a solução era armazenar e executar algoritmos de mineração de dados, atualmente isso se tornou inviável mesmo em super computadores. Além disso, os requisitos da chamada era do Big Data vão muito além da grande quantidade de dados a se analisar. Requisitos de tempo de resposta e complexidade dos dados adquirem maior peso em muitos domínios no mundo real. Novos modelos têm sido pesquisados e desenvolvidos, muitas vezes propondo computação distribuída ou diferentes formas de se tratar a mineração de fluxo de dados. Pesquisas atuais mostram que uma alternativa na mineração de fluxo de dados é unir um mecanismo de tratamento de eventos em tempo real com algoritmos clássicos de mineração de regras de associação ou padrões sequenciais. Neste trabalho é mostrada uma abordagem de mineração de fluxo de dados (data stream) para atender ao requisito de tempo de resposta do Big Data, que une o mecanismo de manipulação de eventos em tempo real Esper e o algoritmo Incremental Miner of Stretchy Time Sequences (IncMSTS). Os resultados mostram ser possível levar um algoritmo de mineração de dados estático para o ambiente de fluxo de dados e manter as tendências de padrões encontrados, mesmo não sendo possível ler todos os dados vindos continuamente no fluxo de dados.
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Zhang, Junbo. "EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES." Oxford, Ohio : Miami University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1145385180.
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Penna, Sergio D., and Domingos B. Rios. "MIGRATING FROM A VAX/VMS TO AN INTEL/WINDOWS-NT BASED GROUND STATION." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608310.
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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, NevadaUpgrading or replacing production systems is always a very resource-consuming task, in particular if the systems being replaced are quite specialized, such as those serving any Flight Test Ground Station. In the recent past a large number of Ground Station systems were based in Digital’s VAX/VMS architecture. The computer industry then expanded very fast and by 1990 realtime PCM data processing systems totally dependent on hardware and software designed for IBM-PC compatible micro-computers were becoming available. A complete system replacement in a typical Ground Station can take from one to several years to become a reality. It depends on how complex the original system is, how complex the resulting system needs to be, how much resources are available to support the operation, how soon the organization needs it, etc. This paper intends to review the main concerns encountered during the replacement of a typical VAX/VMS-based by an Intel-Windows NT-based Ground Station. It covers the transition from original requirements to totally new requirements, from mini-computers to micro-computers, from DMA to high-speed LAN data transfers, while conserving some key architectural features. This 8-month development effort will expand EMBRAER’s capability in acquiring, processing and archiving PCM data in the next few years at a lower cost, while preserving compatibility with old legacy flight test data.
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Kaidis, Christos. "Wind Turbine Reliability Prediction : A Scada Data Processing & Reliability Estimation Tool." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-221135.
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This research project discusses the life-cycle analysis of wind turbines through the processing of operational data from two modern European wind farms. A methodology for SCADA data processing has been developed combining previous research findings and in-house experience followed by statistical analysis of the results. The analysis was performed by dividing the wind turbine into assemblies and the failures events in severity categories. Depending on the failure severity category a different statistical methodology was applied, examining the reliability growth and the applicability of the “bathtub curve” concept for wind turbine reliability analysis. Finally, a methodology for adapting the results of the statistical analysis to site-specific environmental conditions is proposed.
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Lindsley, Richard D. "Enhanced-Resolution Processing and Applications of the ASCAT Scatterometer." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5739.
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The ASCAT scatterometer measures the Earth surface microwave radar backscatter in order to estimate the near-surface winds over the oceans. While the spatial resolution of the conventional applications is sufficient for many purposes, other geoscience applications benefit from an improved spatial resolution. Specialized algorithms may be applied to the scatterometer data in order to reconstruct the radar backscatter on a high-resolution grid. Image reconstruction requires the spatial response function (SRF) of each measurement, which is not reported with the measurement data. To address this need, I precisely model the SRF incorporating (1) the antenna beam response, (2) the processing performed onboard ASCAT before telemetering to the ground, and (3) the Doppler shift induced by a satellite orbiting the rotating Earth. I also develop a simple parameterized model of the SRF to reduce computational complexity. The accuracy of both models is validated.Image reconstruction of the ASCAT data is performed using the modeled SRF. I discuss the spatial resolution of the reconstructed ASCAT images and consider the first- and second-order statistics of the reconstructed data. Optimum values for the parameters of the reconstruction algorithms are also considered. The reconstructed radar backscatter data may be used for enhanced-resolution wind retrieval and for geoscience applications. In this dissertation, the reconstructed backscatter data is used to map the surface extent of the 2010 Deepwater Horizon oil spill and in a study to quantify the azimuth angle anisotropy of backscatter in East Antarctica. Near-coastal ocean wind retrieval is also explored in this dissertation. Because near-coastal ocean measurements of backscatter may be “contaminated” from nearby land and introduce errors to wind retrieval, they must be discarded. The modeled SRF is used to quantify the land contamination, enabling enhanced-resolution wind retrieval much closer to the coasts. The near-coastal winds are validated against buoy measurements.