Rozprawy doktorskie na temat „GPU pipeline”
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Bexelius, Tobias. "HaGPipe : Programming the graphics pipeline in Haskell". Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6234.
Pełny tekst źródła
In this paper I present the domain specific language HaGPipe for graphics programming in Haskell. HaGPipe has a clean, purely functional and strongly typed interface and targets the whole graphics pipeline including the programmable shaders of the GPU. It can be extended for use with various backends and this paper provides two different ones. The first one generates vertex and fragment shaders in Cg for the GPU, and the second one generates vertex shader code for the SPUs on PlayStation 3. I will demonstrate HaGPipe's many capabilities of producing optimized code, including an extensible rewrite rule framework, automatic packing of vertex data, common sub expression elimination and both automatic basic block level vectorization and loop vectorization through the use of structures of arrays.
PESSOA, Saulo Andrade. "Um pipeline para renderização fotorrealística em aplicações de realidade aumentada". Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2337.
Pełny tekst źródłaConselho Nacional de Desenvolvimento Científico e Tecnológico
A habilidade de interativamente mesclar o mundo real com o virtual abriu um leque de novas possibilidades na área de sistemas multimídia. O campo de pesquisa que trata desse problema é chamado de Realidade Aumentada. Em Realidade Aumentada, os elementos virtuais podem aparecer destacados dos objetos reais ou fotorrealisticamente inseridos no mundo real. Dentro desse segundo tipo de aplicação, pode-se citar: ferramentas de auxílio ao projeto de interiores, jogos eletrônicos aumentados e aplicações para visualização de sítios históricos. Na literatura pesquisada existe uma lacuna para ferramentas que auxiliem a criação desse tipo de aplicação. Na tentativa de contornar isso, esta dissertação propõe um pipeline para renderização fotorrealística em aplicações de Realidade Aumentada que leva em consideração aspectos como: a iluminação, as propriedades de refletância dos materiais, o sombreamento, a composição do mundo real com o mundo virtual e os efeitos de câmera. Esse pipeline foi implementado como uma API, permitindo a realização de dois estudos de caso: uma ferramenta de edição de materiais e uma ferramenta de auxílio ao projeto de interiores. Para obter taxas interativas de renderização, os gargalos do pipeline foram implementados em GPU. Os resultados obtidos mostram que o pipeline proposto oferece ganhos consideráveis de realismo com relação à visualização dos objetos virtuais
Cui, Xuewen. "Directive-Based Data Partitioning and Pipelining and Auto-Tuning for High-Performance GPU Computing". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/101497.
Pełny tekst źródłaDoctor of Philosophy
Over the past decade, parallel accelerators have become increasingly prominent in this emerging era of "big data, big compute, and artificial intelligence.'' In more recent supercomputers and datacenter clusters, we find multi-core central processing units (CPUs), many-core graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and co-processors (e.g., Intel Xeon Phi) being used to accelerate many kinds of computation tasks. While many new programming models have been proposed to support these accelerators, scientists or developers without domain knowledge usually find existing programming models not efficient enough to port their code to accelerators. Due to the limited accelerator on-chip memory size, the data array size is often too large to fit in the on-chip memory, especially while dealing with deep learning tasks. The data need to be partitioned and managed properly, which requires more hand-tuning effort. Moreover, performance tuning is difficult for developers to achieve high performance for specific applications due to a lack of domain knowledge. To handle these problems, this dissertation aims to propose a general approach to provide better programmability, performance, and data management for the accelerators. Accelerator users often prefer to keep their existing verified C, C++, or Fortran code rather than grapple with the unfamiliar code. Since 2013, OpenMP has provided a straightforward way to adapt existing programs to accelerated systems. We propose multiple associated clauses to help developers easily partition and pipeline the accelerated code. Specifically, the proposed extension can overlap kernel computation and data transfer between host and device efficiently. The extension supports memory over-subscription, meaning the memory size required by the tasks could be larger than the GPU size. The internal scheduler guarantees that the data is swapped out correctly and efficiently. Machine learning methods are also leveraged to help with auto-tuning accelerator performance.
Doran, Andra. "Occlusion culling et pipeline hybride CPU/GPU pour le rendu temps réel de scènes complexes pour la réalité virtuelle mobile". Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2131/.
Pełny tekst źródłaNowadays, 3D real-time rendering has become an essential tool for any modeling work and maintenance of industrial equipment, for the development of serious or fun games, and in general for any visualization application in the domains of industry, medical care, architecture,. . . Currently, this task is generally assigned to graphics hardware, due to its specific design and its dedicated rasterization and texturing units. However, in the context of industrial applications, a wide range of computers is used, heterogeneous in terms of computation power. These architectures are not always equipped with high-end hardware, which may limit their use for this type of applications. Current research is strongly oriented towards modern high performance graphics hardware-based solutions. On the contrary, we do not assume the existence of such hardware on all architectures. We propose therefore to adapt our pipeline according to the computing architecture in order to obtain an efficient rendering. Our pipeline adapts to the computer's capabilities, taking into account each computing unit, CPU and GPU. The goal is to provide a well-balanced load on the two computing units, thus ensuring a real-time rendering of complex scenes, even on low-end computers. This pipeline can be easily integrated into any conventional rendering system and does not require any precomputation step
Crassin, Cyril. "GigaVoxels : un pipeline de rendu basé Voxel pour l'exploration efficace de scènes larges et détaillées". Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00650161.
Pełny tekst źródłaSchertzer, Jérémie. "Exploiting modern GPUs architecture for real-time rendering of massive line sets". Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT037.
Pełny tekst źródłaIn this thesis, we consider massive line sets generated from brain tractograms. They describe neural connections that are represented with millions of poly-line fibers, summing up to billions of segments. Thanks to the two-staged mesh shader pipeline, we build a tractogram renderer surpassing state-of-the-art performances by two orders of magnitude.Our performances come from fiblets: a compressed representation of segment blocks. By combining temporal coherence and morphological dilation on the z-buffer, we define a fast occlusion culling test for fiblets. Thanks to our heavily-optimized parallel decompression algorithm, surviving fiblets are swiftly synthesized to poly-lines. We also showcase how our fiblet pipeline speeds-up advanced tractogram interaction features.For the general case of line rendering, we propose morphological marching: a screen-space technique rendering custom-width tubes from the thin rasterized lines of the G-buffer. By approximating a tube as the union of spheres densely distributed along its axes, each sphere shading each pixel is retrieved relying on a multi-pass neighborhood propagation filter. Accelerated by the compute pipeline, we reach real-time performances for the rendering of depth-dependant wide lines.To conclude our work, we implement a virtual reality prototype combining fiblets and morphological marching. It makes possible for the first time the immersive visualization of huge tractograms with fast shading of thick fibers, thus paving the way for diverse perspectives
He, Yiyang. "A Physically Based Pipeline for Real-Time Simulation and Rendering of Realistic Fire and Smoke". Thesis, Stockholms universitet, Numerisk analys och datalogi (NADA), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160401.
Pełny tekst źródłaAngalev, Mikhail. "Energy saving at gas compressor stations through the use of parametric diagnostics". Thesis, KTH, Energiteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101061.
Pełny tekst źródłaSand, Victor. "Dynamic Visualization of Space Weather Simulation Data". Thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112092.
Pełny tekst źródłaTjia, Andrew Hung Yao. "Adaptive pipelined work processing for GPS trajectories". Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43288.
Pełny tekst źródłaEs, S. Alphan. "Accelerated Ray Tracing Using Programmable Graphics Pipelines". Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609307/index.pdf.
Pełny tekst źródłaZhang, Jianwei, Dave Kudrna, Ting Mu, Weiming Li, Dario Copetti, Yeisoo Yu, Jose Luis Goicoechea, Yang Lei i Rod A. Wing. "Genome puzzle master (GPM): an integrated pipeline for building and editing pseudomolecules from fragmented sequences". OXFORD UNIV PRESS, 2016. http://hdl.handle.net/10150/621468.
Pełny tekst źródłaMalenta, Mateusz. "Exploring the dynamic radio sky with many-core high-performance computing". Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/exploring-the-dynamic-radio-sky-with-manycore-highperformance-computing(fe86c963-e253-48c0-a907-f8b59c44cf53).html.
Pełny tekst źródłaAyala, Cabrera David. "Characterization of components of water supply systems from GPR images and tools of intelligent data analysis". Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/59235.
Pełny tekst źródła[ES] Con el paso del tiempo, y debido a múltiples actividades operacionales y de mantenimiento, las redes de los sistemas de abastecimiento de agua (SAAs) sufren intervenciones, modificaciones o incluso, son clausuradas, sin que, en muchos casos, estas actividades sean correctamente registradas. El conocimiento de los trazados y características (estado y edad, entre otros) de las tuberías en los SAAs es obviamente necesario para una gestión eficiente y dinámica de tales sistemas. A esta problemática se suma la detección y el control de las fugas de agua. El acceso a información fiable sobre las fugas es una tarea compleja. En muchos casos, las fugas son detectadas cuando los daños en la red son ya considerables, lo que trae consigo altos costes sociales y económicos. En este sentido, los métodos no destructivos (por ejemplo, ground penetrating radar - GPR), pueden ser una respuesta a estas problemáticas, ya que permiten, como se pone de manifiesto en esta tesis, localizar los trazados de las tuberías, identificar características de los componentes y detectar las fugas de agua cuando aún no son significativas. La selección del GPR, en este trabajo se justifica por sus características como técnica no destructiva, que permite estudiar tanto objetos metálicos como no metálicos. Aunque la captura de información con GPR suele ser exitosa, la configuración de la captura, el gran volumen de información, y el uso y la interpretación de la información requieren de alto nivel de habilidad y experiencia por parte del personal. Esta tesis doctoral se plantea como un avance hacia el desarrollo de herramientas que permitan responder a la problemática del desconocimiento de los activos enterrados de los SAAs. El objetivo principal de este trabajo doctoral es, pues, generar herramientas y evaluar la viabilidad de su aplicación en la caracterización de componentes de un SAA, a partir de imágenes GPR. En este trabajo hemos realizado ensayos de laboratorio específicamente diseñados para plantear, elaborar y evaluar metodologías para la caracterización de los componentes enterrados de los SAAs. Adicionalmente, hemos realizado ensayos de campo, que han permitido determinar la viabilidad de aplicación de tales metodologías bajo condiciones no controladas. Las metodologías elaboradas están basadas en técnicas de análisis inteligentes de datos. El principio básico de este trabajo ha consistido en el tratamiento adecuado de los datos obtenidos mediante el GPR, a fin de buscar información de utilidad para los SAAs respecto a sus componentes, con especial énfasis en las tuberías. Tras la realización de múltiples actividades, se puede concluir que es viable obtener más información de las imágenes de GPR que la que actualmente se obtiene con la típica identificación de hipérbolas. Esta información, además, puede ser observada directamente, de manera más sencilla, mediante las metodologías planteadas en este trabajo doctoral. Con estas metodologías se ha probado que también es viable la identificación de patrones (especialmente el pre-procesado con el algoritmo Agent race) que proporcionan aproximación bastante acertada de la localización de las fugas de agua en los SAAs. También, en el caso de las tuberías, se puede obtener otro tipo de características tales como el diámetro y el material. Como resultado de esta tesis se han desarrollado una serie de herramientas que permiten visualizar, identificar y localizar componentes de los SAAs a partir de imágenes de GPR. El resultado más interesante es que los resultados obtenidos son sintetizados y reducidos de manera que preservan las características de los diferentes componentes registrados en las imágenes de GPR. El objetivo último es que las herramientas desarrolladas faciliten la toma de decisiones en la gestión técnica de los SAAs y que tales herramientas puedan ser operadas incluso por personal con una experiencia limitada en el manejo
[CAT] Amb el temps, a causa de les múltiples activitats d'operació i manteniment, les xarxes de sistemes d'abastament d'aigua (SAAs) se sotmeten a intervencions, modificacions o fins i tot estan tancades. En molts casos, aquestes activitats no estan degudament registrats. El coneixement dels camins i característiques (estat i edat, etc.) de les canonades d'aigua i sanejament fa evident la necessitat d'una gestió eficient i dinàmica d'aquests sistemes. Aquest problema es veu augmentat en gran mesura tenint en compte la detecció i control de fuites. L'accés a informació fiable sobre les fuites és una tasca complexa. En molts casos, les fugues es detecten quan el dany ja és considerable, el que porta costos socials i econòmics. En aquest sentit, els mètodes no destructius (per exemple, ground penetrating radar - GPR) poden ser una resposta constructiva a aquests problemes, ja que permeten, com s'evidencia en aquesta tesi, per determinar rutes de canonades, identificar les característiques dels components, i detectar les fuites d'aigua quan encara no són significatives. La selecció del GPR en aquest treball es justifica per les seves característiques com a tècnica no destructiva que permet estudiar tant objectes metàl·lics i no metàl·lics. Tot i que la captura d'informació amb GPR sol ser reeixida, aspectes com ara la configuració de captura, el gran volum d'informació que es genera, i l'ús i la interpretació d'aquesta informació requereix alt nivell d'habilitat i experiència. Aquesta tesi pot ser vista com un pas endavant cap al desenvolupament d'eines capaces d'abordar el problema de la manca de coneixement sobre els actius d'aigua i sanejament enterrat. L'objectiu principal d'aquest treball doctoral és, doncs, generar eines i avaluar la seva factibilitat d'aplicació a la caracterització dels components de los SAAs, a partir d'imatges GPR. En aquest treball s'han dut a terme proves de laboratori específicament dissenyats per proposar, desenvolupar i avaluar mètodes per a la caracterització dels components d'aigua i sanejament soterrat. A més, hem dut a terme proves de camp, que ens han permès determinar la viabilitat de la implementació d'aquestes metodologies en condicions no controlades. Les metodologies desenvolupades es basen en tècniques d'anàlisi intel·ligent de dades. El principi bàsic d'aquest treball ha consistit en el tractament de dades obtingudes a través del GPR per buscar informació útil sobre els components d'SAA, amb especial èmfasi en la canonades. Després de realitzar nombroses activitats, es pot concloure que, amb l'ús d'imatges de GPR, és factible obtenir més informació que la identificació típica d'hipèrboles realitzat actualment. A més, aquesta informació pot ser observada directament, per exemple, més simplement, utilitzant les metodologies proposades en aquest treball doctoral. Aquestes metodologies també demostren que és factible per identificar patrons (especialment el pre-processat amb l'algoritme Agent race) que proporcionen bastant bona aproximació de la localització de fuites en SAAs. També, en el cas de tubs, es pot obtenir altres característiques com ara el diàmetre i el material. Els principals resultats d'aquesta tesi consisteixen en una sèrie d'eines que hem desenvolupat per localitzar, identificar i visualitzar els components dels SAAS a partir d'imatges GPR. El resultat més interessant és que els resultats obtinguts són sintetitzats i reduïts de manera que preserven les característiques dels diferents components registrats en les imatges de GPR. L'objectiu final és que les eines desenvolupades faciliten la presa de decisions en la gestió tècnica de SAA, i que tals eines poden fins i tot ser operades per personal amb poca experiència en el maneig de metodologies no destructives, específicament GPR.
Ayala Cabrera, D. (2015). Characterization of components of water supply systems from GPR images and tools of intelligent data analysis [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/59235
TESIS
Premiado
Chen, Chi-Chung, i 陳啟中. "Efficient and Robust Pipeline Design for Multi-GPU DNN Training through Model Parallelism". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4s7avh.
Pełny tekst źródła國立臺灣大學
資訊工程學研究所
106
The training process of Deep Neural Network (DNN) is compute-intensive, often taking days to weeks to train a DNN model. Therefore, parallel execution of DNN training on GPUs is a widely adopted approach to speed up process nowadays. Due to the implementation simplicity, data parallelism is currently the most commonly used parallelization method. Nonetheless, data parallelism suffers from excessive inter-GPU communication overhead due to frequent weight synchronization among GPUs. Another approach is model parallelism, which partitions model among GPUs. This approach can significantly reduce inter-GPU communication cost compared to data parallelism, however, maintaining load balance is a challenge. Moreover, model parallelism faces the staleness issue; that is, gradients are computed with stale weights. In this thesis, we propose a novel model parallelism method, which achieves load balance by concurrently executing forward and backward passes of two batches, and resolves the staleness issue with weight prediction. The experimental results show that our proposal achieves up to 15.77x speedup compared to data parallelism and up to 2.18x speedup compared to the state-of-the-art model parallelism method without incurring accuracy loss.
Lu, Chia-Hao, i 陸佳壕. "A neural network model based on OpenGL pipeline parameters for GPU rendering power estimation". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/pud486.
Pełny tekst źródła國立中山大學
資訊工程學系研究所
107
Nowadays, as technology is getting progress, power consumption becomes a non-ignore feature for modern computer development. Too much power consumption cause problems such as thermal collapse, less endurance, and wasted energy …etc. Therefore, when designing a computer system, there must be a power estimation model to help us manage and evaluate power consumption. The GPU is the most power-consuming component, so there is much research to build power estimation model for the GPU. However, in the GPU graphic rendering power estimation, most of the study is only suitable for embedded systems and not for desktop computers. Therefore, this paper proposes a GPU power estimation neural network model based on OpenGL pipeline parameters, which makes use of OpenGL compatibility. So this power model can use in all embedded or desktop computers supporting OpenGL. Moreover, more power-related features have considered than in previous researches. An advanced machine learning method called neural networks is used to train our power model. So our power model has more accurate power estimation results. Also, this paper proposed a series of methods for extracting rendering data from OpenGL specifications and converting them into OpenGL pipeline parameters.
楊宗寶. "The Study of GPR in the Underground Pipeline Investigation". Thesis, 2009. http://ndltd.ncl.edu.tw/handle/76011984096132465560.
Pełny tekst źródła明新科技大學
營建工程與管理研究所
97
In recent years because city of the development quick、the population is intensive, according to security consideration and under the view consideration, with the result that use underground pipeline engineering gradually numerous complicated. However being newly set up engineering or routine maintenance pipeline has to want to renew to often need the opening of the work area big area to dig, and all of the position of the construction ex underground pipeline rely on an old pipeline construction diagram, therefore the mistake digs a pipeline to make the engineering delayed、the loss of the wealth and properties even all slightly has to smell. Ground Penetrating Radar (GPR) is a new nondestructive method in the 21st Century, the usage nondestructive examination method is already the trend of future development, The engineering carries on front with can take type the instrument is having never needed to open to dig、 Under the premise of perturbation earth's surface or structure thing material, detect underground pipeline position and tube path, for Water pipeline、gas pipe、 electric power pipe 、telecommunication pipeline and the sewer etc maintenance of appearance, all is great to help. Through make use of Ground Penetrating Radar of probe into a technique, in now pipeline the construction is inside the scope carry on probing into a ratio rightness, will be able to reduce a mistake to dig, reduce to open to dig amount of homework in the meantime, then promote to open to dig security and quality of the engineering. In this study use Minghsin University of Science and Technology in 93 academic years through the Ministry of Education 「 promote the project of the university competition ability 」 particularly the style subsidizes purchase of SIR-20 Ground Penetrating Radar, and carry on an underground pipeline to probe into in school, will be laying an underground pipeline to be in front and back carry on probing into to do a comparison, also store deeply land mine to attain history data and sorting, Can immediately know after laying the position of underground pipeline have already made no difference while laying with actual construction, finally probe into a result can be said to be rather accurate, all can probe into the position of the pipeline place. Expecting this study result can contribute to in the days to come probe into an underground pipeline can effectively reduce a mistake to dig risk, reduce baffling transportation on the construction or Bother the people's number of times.
Cheng, An-Ting, i 鄭安庭. "A GPU Accelerated, Pipelined and Multi-Thread Framework for Long Noisy Genome Sequence". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/6ert9e.
Pełny tekst źródła國立交通大學
電子研究所
107
Compared with traditional DNA sequencing technologies, Third generation sequencing(TGS) such as Oxford Nanopore can generate relatively long reads within a short amount of time using a portable device. However, these reads generated often have a high error rate which ranges from 15\% to 35\%. Among the existing popular alignment algorithms, only very few are designed to handle long reads with such a high error rate. The speed of these algorithms also tends to be slower, suggesting their efficiency could be further improved. We modify the COSINE algorithm in and effectively accelerate its overall computation by taking advantage of the power of Nvidia GPGPU, optimizing data sharing, and managing the pipeline between CPU and GPGPU. As a result, we provide a fast DNA sequence alignment framework that supports various input formats including FASTQ, FASTA, SAM, with both single-end and pair-end reads. Compared with the original COSINE algorithm, we achieve a higher throughput rate of 1.5 to 5.5 times faster, while maintaining its accuracy.
Hsieh, Ginger, i 謝鈞傑. "A Pipelined Sequence Alignment Algorithm on Multiple GPUs". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3bu7zf.
Pełny tekst źródła國立臺灣科技大學
電子工程系
106
In recent years, DNA sequencing techniques and the management of bioinformatics have been developed prosperously. Sequence alignment is usually solved by heuristic methods due to the excessive computation times of the exact methods. Smith-Waterman(SW) is an exact algorithm to search local alignment. GPUs are highly parallel architectures which are suitable for executing data parallel problems. Thus it is worthwhile to develop parallel algorithms on multiple GPUs to accelerate SW computation. The aim of this thesis is to propose a pipelined sequence alignment algorithm on multiple GPUs for speeding up the sequence alignment of huge sequences. Consecutive rows of the DP matrix are grouped as an execution-bank, which is assigned to a block for execution. Thus, the DP matrix can be regarded as a sequence of execution-banks. The current block writes the state of the last row of its own execution-bank into a pipeline for the reading of the next block. The manager process in the host is only in charge of streamlining kernel invocations and storing of the special rows. Thus this pipelined fashion of proposed algorithm can have as little synchronization as possible, resulting in speeding up the system performance significantly.
Liu, Thou-Chieh, i 劉守傑. "Study On the Feasibility of Applying GPR to Quality Control for Pipeline Construction". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/es6nvk.
Pełny tekst źródła國立臺北科技大學
土木與防災研究所
101
In recent years, in order to enhance people''s quality of life, the Taipei City Government to promote the project through the road level and positive handling road construction and maintenance management operations, the lack of reason from the past to review and actively improve the quality of service to improve the road. Under the current city and county roads pipelines laid intricate, accompanied by the growing number of cases also apply to dig people and caused inconvenience to road users, after all, industrial and consumer use pipelines variety and volume, so when performing pipeline laying, maintenance or migration action must be excavated for road construction. However, the construction unit of varying quality have tended to backfill compaction is not real, human (hand) around the hole caused by the elevation difference uneven pavement, making the existing road pavement cracks, rutting and potholes and other circumstances occur, seriously affecting the smooth road reduced to the condition that at the standard of services and the public road traffic of inconvenience. In this study, through non-destructive testing complement existing mechanisms for the construction of the missing after checking in advance underground pipeline detection position detection time from the point of view requires only 8% of the original, about 20 minutes or so that you can test is completed, the test results are with 95% confidence that the error is detected in the allowable error within. Therefore, this study suggests that penetrating radar detection of the pipeline on the road is feasible.
Chien-Ting, Wu, i 吳建廷. "A Study of The Use of INS/GPS in Positioning Pipelines". Thesis, 2000. http://ndltd.ncl.edu.tw/handle/23985134988059092927.
Pełny tekst źródła國立交通大學
土木工程系
88
There are many successful examples in using of INS/GPS in the world, mostly apply to military and navigation. In short baseline, the precision of Kinematic GPS and Real-time kinematic (RTK) have already reached to the level of centimeter. The price of high precision INS instrument is expensive. To use cheaper INS instrument for positioning when GPS surveying is not work. So the integrating GPS with INS avoid the defects of each system, and raise the accuracy of positioning results. In this study, two simulative INS data and data collected from the Center for Mapping at the Ohio State University is applied for positioning. In addition, the decentralized Kalman Filter and 15 parameters INS model for data processing is used. Moreover, the data processing procedure of the Kalman Filter is modified to get automatic and real time positioning object. From the results, it was found that using divide data and adjust the Kalman Filter system noise covariance matrix automatically can combine both system into the optimum state. During the intentional gaps of GPS observation of the OSU practical data, the difference of INS position and KGPS solution reaches 35cm within 20 seconds. But it use more time to compute. On the other hand, use two different system noise covariance matrix which has GPS signal or not, the result batter then use a system noise covariance matrix with GPS signal or not.
Chun-HaoYang i 楊濬豪. "Detect the Crack of Wood Structure and Identify the Materials of Underground pipeline Using GPR". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8nn5py.
Pełny tekst źródłaTiwari, Manasi. "Communication Overlapping Krylov Subspace Methods for Distributed Memory Systems". Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5990.
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