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Performance analysis of parallel programs using prober as a single aid tool 14

Performance analysis of parallel programs using prober as a ...

引用

14th Symposium on Computer Architecture and High Performance Computing

作者： Góes, LFW Ramos, LES Martins, CAPS Informatics Institute Post-Graduation Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

ISBN: (纸本)0769517722

Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments;built a set of scripts to specify the performance tests;ran the set of scripts in batch mode;used Prober to generate graphics and statistics based on the collected performance data;and analyzed the results rising Prober as an aid tool.

关键词： Convolution Graphics Image analysis Image segmentation Performance analysis Radio access networks Software libraries Software tools Testing User interfaces

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Passive RFID tag for respiratory frequency monitoring 3

Passive RFID tag for respiratory frequency monitoring

引用

3rd International Symposium on Instrumentation Systems, Circuits and Transducers: Chip in the Pampa, INSCIT 2018

作者： Araujo, Jessyca Iasmyn Lucena Morais, Samuel Medeiros Araujo De Freitas Serres, Georgina Karla De Albuquerque, Camila Caroline Rodrigues Serres, Alexandre Jean Rene De Souza Santos, Danilo Freire De Carvalho, Joabson Nogueira Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Post-Graduation Program in Electrical Engineering Federal Institute of Paraiba Joao Pessoa Brazil

ISBN: (纸本)9781538672983

Continuous monitoring of vital signals provides relevant information about a patient health status, which is essential in situations of risk. There is a need for practical and efficient systems to obtain these parameters and the RFID technology is presented here as a solution. In this work, a passive RFID tag is developed for respiratory rate monitoring. The RFID tag is a wireless solution for the subject and provides comfort due to its flexibility. Simulations and measurements were performed. To carry out the simulations, it was necessary to characterize the dielectric materials. The principle of operation of the technology in this application is based on the variations of the Received Signal Strength Indicator (RSSI) caused by the respiratory movements. As a result of the measurements performed with the tag placed on the abdomen of a person, during which forced inhalations and slow expirations were made, these variations of the RSSI could be noticed and, based on the respiratory cycles detected, it was possible to estimate the respiratory rate. © 2018 IEEE.

关键词： Dielectric materials

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Flexible UHF RFID Tag for Human Body Motion Detection 2

Flexible UHF RFID Tag for Human Body Motion Detection

引用

2nd IEEE MTT-S Latin America Microwave Conference, LAMC 2018

作者： Morais, Samuel Medeiros Araújo Araújo, Jéssyca Iasmyn Lucena Serres, Alexandre Jean René De Albuquerque, Camila Caroline Rodrigues Dos Santos, Maraiza Prescila De Carvalho, Joabson Nogueira Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Post-Graduation Program in Electrical Engineering Federal Institute of Paraíiba João Pessoa Brazil

ISBN: (纸本)9781538673331

With the growing diffusion of the Internet of Things concept and the advances in low-power electronics, the RFID (Radio Frequency Identification) technology has gained attention in various fields, from entertainment to medicine, for example. Its sensing and signal processing capability allows us to highlight this technology as one of the main solutions in reducing cost and complexity in such applications. This work presents the design and test of a flexible RFID tag operating in the American UHF frequency of 915 MHz, for human body motion detection. Through the analysis of the Received Signal Strength Indicator (RSSI) variation with time and its Fast Fourier Transform (FFT) it was possible to ensure the tag's applicability. © 2018 IEEE.

关键词： Fast Fourier transforms

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Aperture-Coupled Koch Fractal on-Chip Antennas for 60 GHz ISM Band 2

Aperture-Coupled Koch Fractal on-Chip Antennas for 60 GHz IS...

引用

2nd IEEE MTT-S Latin America Microwave Conference, LAMC 2018

作者： Morais, Samuel Medeiros Araújo Serres, Alexandre Jean Rene Guarany, Ivana Soares Da Silverio Freire, Raimundo Carlos Da Silva, Paulo Fernandes Santana, Ewaldo Elder Carvalho Da Fonseca Silva, Paulo Henrique Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Post-Graduation Program in Computer Engineering and Systems State University of Maranhão São Luis Brazil Post-Graduation Program in Electrical Engineering Federal Institute of Education Science and Technology of Paraíba João Pessoa Brazil

ISBN: (纸本)9781538673331

This paper presents Koch fractal aperture-coupled patch antennas operating in industrial scientific and medical band at 60 GHz (57 GHz to 64 GHz), for on-chip application. This work is the continuation of the development of aperture-coupled antennas with aperture and patch element built in 2 μm-thick aluminum lying on two layers of silicon with a height of 200 μm. The use of Koch fractal allowed the development of aperture-coupled antennas of greater perimeter with more metal in the patch elements, which promoted an increase in the gain. The observed gain for Koch fractal level 2 was of 10.55 dBi, with a bandwidth of 7.23 GHz, covering the ISM 60 GHz Band, and an increase of less than 10% in total patch dimension. For Koch fractal levels 0 (square), a polarization close to circular was achieved, with an axial ratio less than 6 at resonant frequencies. © 2018 IEEE.

关键词： Natural frequencies

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Flexible UHF RFID tag gain enhancement using metamaterial structure 4

Flexible UHF RFID tag gain enhancement using metamaterial st...

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4th International Symposium on Instrumentation Systems, Circuits and Transducers, INSCIT 2019

作者： Araujo, Jessyca Iasmyn Lucena Morais, Samuel Medeiros Araujo Serres, Alexandre Jean Rene De Albuquerque, Camila Caroline Rodrigues De Freitas Serres, Georgina Karla De Souza Santos, Danilo Freire E Silva, Carolina Cavalcanti Pedrosa De Oliveira, Alexandre M. Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Maxwell Laboratory of Microwaves and Applied Electromagnetism Federal Institute of São Paulo Cubatão Brazil

ISBN: (纸本)9781728121093

In this paper, we propose a flexible passive RFID tag using a Complementary Split Ring Resonator (CSRR) structure for antenna gain enhancement. The tag is based on a folded dipole antenna and 8 CSRR cells in the same layer, on a polyamide substrate. Simulation results performed in the ANSYS Electronics Desktop software are presented. It has been shown that with the insertion of the metamaterial structure there is a considerable improvement in some parameters of the antenna, such as directivity, efficiency and, consequently, gain. The gain of the antenna increased, approximately, from -6.8 dB to 5.3 dB. In addition, a read range of approximately 24.21 m was obtained at the operating frequency (915 MHz) with the metamaterial-based antenna. © 2019 IEEE.

关键词： Metamaterials

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Performance analysis of parallel programs using Prober as a single aid tool

Performance analysis of parallel programs using Prober as a ...

引用

International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： L.F.W. Goes L.E.S. Ramos C.A.P.S. Martins Informatics Institute Post-Graduation Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library, the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments; built a set of scripts to specify the performance tests; ran the set of scripts in batch mode; used Prober to generate graphics and statistics based on the collected performance data; and analyzed the results using Prober as an aid tool.

关键词： Performance analysis Graphics Testing Software tools Software libraries User interfaces Image analysis Convolution Image segmentation Radio access networks

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Empirical ARMA Outdoor Propagation Model for Amazon Cities

Empirical ARMA Outdoor Propagation Model for Amazon Cities

引用

European Conference on Antennas and Propagation

作者： Ramz L. Fraiha Lopes Allan B. Costa Allan S. Braga Herminio S. Gomes Simone G. C. Fraiha Josiane C. Rodrigues Jasmine P. L. Araujo Bruno S. L. Castro Gervasio P. S. Cavalcante Institute of Technology - Electrical Engineering Post Graduation Program Federal University of Para - UFPA

In this work is proposed an empirical Autoregressive Moving-Average (ARMA) model for signal strength prediction in outdoor environments. A Genetic Algorithm (GA) was employed to calibrate the model (finding coefficien... 详细信息

ISBN: (纸本)9781467321877

关键词： ARMA model Outdoor Propagation Genetic Algorithm Genetic Algorithm (GA) Source code city Outdoors OUTDOOR ENVIRONMENT Signal Intensity

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Flexible UHF RFID Tag for Human Body Motion Detection

Flexible UHF RFID Tag for Human Body Motion Detection

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IEEE MTT-S Latin America Microwave Conference (LAMC)

作者： Samuel Medeiros Araújo Morais Jéssyca Iasmyn Lucena Araujo Alexandre Jean René Serres Camila Caroline Rodrigues de Albuquerque Maraiza Prescila dos Santos Joabson Nogueira de Carvalho Post-Graduation Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Post-Graduation Program in Electrical Engineering Federal Institute of Paraíıba João Pessoa Brazil

ISBN: (纸本)9781538673348;9781538673331

关键词： Antennas Antenna measurements Resonant frequency RFID tags Geometry

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Analyses of Photovoltaic Systems Performance with Fuzzy Inference Systems and Bayesian Networks

Analyses of Photovoltaic Systems Performance with Fuzzy Infe...

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Power Electronics and Control (SEPOC), Seminar on

作者： Nicole Polityto Cremasco Myriam Regattieri De Biase da Silva Delgado Jair Urbanetz Junior Luiz Ledo Mota Melo Jorge Assade Leludak Keiko Verônica Ono Fonseca Program of Post-Graduation of Electrical Engineering and Industrial Informatics(CPGEI) of Federal University of Technology of Paraná(UTFPR) Program of Post-Graduation of Electrical Engineering and Industrial Informatics(CPGEI) of the Federal University of Technology of Paraná(UTFPR) Program of Post-Graduation in Energy Systems of Federal University of Technology of Paraná(UTFPR Department of Electrical Engineering (DAELT)) Federal University of Technology of Paraná(UTFPR) Curitiba Brazil

Renewable energy sources have been increasingly targeted as an alternative for reducing fossil fuel emissions. This scenario requires a better understanding of energy systems' performance and limitations, notably using photovoltaic setups under diverse meteorological conditions and determining device measurement uncertainties. Accordingly, this study conducts a performance evaluation of a photovoltaic system of copper, indium, and gallium (di)selenide technology. It compares the results provided by a reference normalized equation with two interpretable artificial intelligence techniques, Fuzzy Inference System and Bayesian Networks, when temperature is also considered. In the experiments, the study found significant percentage differences between the normalization procedure and the fuzzy system on days with lower irradiation values. On the other hand, the results provided by Bayesian networks presented lower difference percentages in relation to the normalization equation values.

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A Study of the Effect of Illumination Conditions and Color Spaces on Skin Segmentation

A Study of the Effect of Illumination Conditions and Color S...

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Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI)

作者： Diogo Kuiaski Hugo Vieira Neto Gustavo Borba Humberto Gamba Post-graduation Program in Electrical Engineering and Industrial Informatics Federal University of Technology of Paraná (UTFPR) Curitiba Parana Brazil

This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG, HSI, HS, YCbCr and CbCr) and tested in a task of automatic pixel classification into skin and non-skin. Analyses of classification performance were done by presenting an illumination controlled image database containing images acquired in four different illumination conditions (shadow, sun, incandescent and fluorescent lights) to these classifiers. Our experiments show that building probabilistic skin color models using the CbCr color space generally improves performance of the classifiers and that best performance is achieved in shadow illumination.

关键词： Lighting Skin Image segmentation Bayesian methods Humans Pixel Digital images Roentgenium Automatic testing Image analysis

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