3 resultados para PC-algorithm

em Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul


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Audio coding is used to compress digital audio signals, thereby reducing the amount of bits needed to transmit or to store an audio signal. This is useful when network bandwidth or storage capacity is very limited. Audio compression algorithms are based on an encoding and decoding process. In the encoding step, the uncompressed audio signal is transformed into a coded representation, thereby compressing the audio signal. Thereafter, the coded audio signal eventually needs to be restored (e.g. for playing back) through decoding of the coded audio signal. The decoder receives the bitstream and reconverts it into an uncompressed signal. ISO-MPEG is a standard for high-quality, low bit-rate video and audio coding. The audio part of the standard is composed by algorithms for high-quality low-bit-rate audio coding, i.e. algorithms that reduce the original bit-rate, while guaranteeing high quality of the audio signal. The audio coding algorithms consists of MPEG-1 (with three different layers), MPEG-2, MPEG-2 AAC, and MPEG-4. This work presents a study of the MPEG-4 AAC audio coding algorithm. Besides, it presents the implementation of the AAC algorithm on different platforms, and comparisons among implementations. The implementations are in C language, in Assembly of Intel Pentium, in C-language using DSP processor, and in HDL. Since each implementation has its own application niche, each one is valid as a final solution. Moreover, another purpose of this work is the comparison among these implementations, considering estimated costs, execution time, and advantages and disadvantages of each one.

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O objetivo deste estudo foi analisar o papel do polimorfismo de I/D do gene da Enzima Conversora de Angiotensina (ECA) e o polimorfismo K121Q da PC-1 nas modificações das taxas de filtração glomerular (TFG), excreção urinária de albumina (EUA) e pressão arterial em uma coorte de pacientes diabéticos tipo 1 normoalbuminúricos (EUA<20μg/min) em um estudo com seguimento de 10,2 ± 2,0anos (6,5 a 13,3 anos). A EUA (imunoturbidimetria), TFG (técnica da injeção única de 51Cr-EDTA), HbA1c (cromatografia de troca iônica) e pressão arterial foram medidas no início do estudo e a intervalos de 1,7 ± 0,6 anos. O polimorfismo I/D e K121Q foram determinados através da PCR e restrição enzimática. Onze pacientes apresentaram o genótipo II, 13 o ID e 6 apresentaram o genótipo DD. Pacientes com o alelo D (ID/DD) desenvolveram mais freqüentemente hipertensão arterial e retinopatia diabética. Os 3 pacientes do estudo que desenvolveram nefropatia diabética apresentaram o alelo D. Nos pacientes ID/DD (n=19) ocorreu maior redução da TFG quando comparados com os pacientes II (n=11) (-0,39 ± 0,29 vs – 0,12 ± 0,37 ml/min/mês; P=0,035). A presença do alelo D, em análise de regressão múltipla linear (R2=0,15; F=4,92; P=0,035) foi o único fator associado à redução da TFG (-0,29 ± 0,34 ml/min/mês; P<0,05). Já o aumento da EUA (log EUA = 0,0275 ± 0,042 μg/min/mês; P=0,002) foi associado somente aos níveis iniciais de EUA (R2=0,17; F=5,72; P=0,024). Um aumento significativo (P<0,05) no desenvolvimento de hipertensão arterial e de novos casos de retinopatia diabética foi observado somente nos pacientes com os genótipos ID/DD. Vinte e dois pacientes apresentaram genótipo KK, 7 KQ e 1 apresentou genótipo QQ. Pacientes com os genótipos KQ/QQ apresentaram um aumento significativo (P=0,045) de novos casos de retinopatia diabética. Em conclusão a presença do alelo D nesta amostra de pacientes DM tipo 1 normoalbuminúricos e normotensos está associada com aumento na proporção de complicações microvasculares e hipertensão arterial.

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In the last years the number of industrial applications for Augmented Reality (AR) and Virtual Reality (VR) environments has significantly increased. Optical tracking systems are an important component of AR/VR environments. In this work, a low cost optical tracking system with adequate attributes for professional use is proposed. The system works in infrared spectral region to reduce optical noise. A highspeed camera, equipped with daylight blocking filter and infrared flash strobes, transfers uncompressed grayscale images to a regular PC, where image pre-processing software and the PTrack tracking algorithm recognize a set of retro-reflective markers and extract its 3D position and orientation. Included in this work is a comprehensive research on image pre-processing and tracking algorithms. A testbed was built to perform accuracy and precision tests. Results show that the system reaches accuracy and precision levels slightly worse than but still comparable to professional systems. Due to its modularity, the system can be expanded by using several one-camera tracking modules linked by a sensor fusion algorithm, in order to obtain a larger working range. A setup with two modules was built and tested, resulting in performance similar to the stand-alone configuration.