A Fast Centroiding Algorithm for Digital Sun Sensors for Nanosatellite Applications

Coutinho, Diego Anestor; Ferreira, Antônio Alves; Boas, Evandro César Vilas

doi:10.1109/lsens.2022.3154349

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…The ADCS subsystem is responsible for determining the orientation of the CubeSat using data from several sensors to keep the satellite stabilized and perform the pointing correction by the set of actuators (Coutinho et al 2021;2022b). The OBSAT organization has ruled out the inclusion of this subsystem in the CubeSat design since the stratospheric launch is accomplished by fixing the satellite on a platform.…”

Section: Subsystems Designmentioning

confidence: 99%

Design, Prototyping and Stratospheric Launch of CubeSats for University Competition

Coutinho

Paulino

Vilela

et al. 2023

J. Aerosp. Technol. Manag.

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This work presents the design and prototyping of two 1U standard CubeSats for the First Brazilian MCTI Satellite Olympiad, launching one in a stratospheric helium-filled balloon. The nanosatellites were designed for two missions: Internet of Things connectivity in remote areas based on CubeSat (IoSat) and low-orbit harmful gamma radiation mapping (LOHGRM). The IoSat mission aimed to provide server connectivity for a remote sensor network. The LOHGRM CubeSat was designed for sensing and mapping gamma radiation power levels in the satellite's orbit to construct a heat map to study the gamma radiation effect on the equipment. The prototype's performance was evaluated based on physical, mechanical, magnetic, thermal, and transmission characterization, with satisfactory results under test conditions. The LOHGRM mission test was carried out on the ground as proof of concept without flying while a stratospheric balloon launched the IoSat prototype. Due to restrictions imposed by the competition, the IoSat nanosatellite only captured and registered altitude, pressure, and temperature data without testing the communication payload. Instead, this data was sent to the ground station through the competition communication system and stored in a memory card to assess its operation during the flying. The satellite's maximum altitude was 22.6 km, operating under -23.5 °C.

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Section: Subsystems Designmentioning

confidence: 99%

Design, Prototyping and Stratospheric Launch of CubeSats for University Competition

Coutinho

Paulino

Vilela

et al. 2023

J. Aerosp. Technol. Manag.

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“…O subsistema de determinação e controle de atitude é responsável por determinar a orientação do CubeSat utilizando dados de vários sensores para manter o satélite estabilizado e realizar a correção de apontamento pelo conjunto de atuadores [9], [10]. Dentro do escopo de projeto, incluiu parcialmente esse subsistema considerando apenas os sensores inerciais e não inerciais para coleta de dados de estado do CubeSat durante o voo, atendendo aos requisitos de projeto.…”

Section: Subsistema De Determinação E Controle De Atitudeunclassified

Desenvolvimento de um CubeSat para Mapeamento de Radiação Gama em Órbita Baixa

Coutinho¹,

Vilela²,

Conceição³

et al. 2022

Anais Do XL Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Resumo-Esse trabalho apresenta o desenvolvimento de um pequeno satélite do tipo CubeSat padrão 1U para missão de sensoriamento e mapeamento dos níveis de potência de radiação gama em órbita baixa. Objetiva-se a captura dos dados em diferentes posições dentro da órbita do satélite para a construção de um mapa de calor. Relata-se a fase de prototipação, desenvolvimento e testes com os subsistemas integrados em uma estrutura mecânica em padrão 1U. Realizou-se a caracterização física, mecânica, magnética, térmica e de transmissão como forma de avaliar o desempenho do protótipo final, sendo os resultados satisfatórios com as condições de testes.Palavras-Chave-CubeSat universitários, pequenos satélites, órbita baixa, radiação gama.

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The improved strategy of BOA algorithm and its application in multi-threshold image segmentation

Wang,

Hung

2024

IFS

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In response to the low efficiency and poor quality of current seed optimization algorithms for multi-threshold image segmentation, this paper proposes the utilization of the normal distribution in the cluster distribution mathematical model, the Levy flight mechanism, and the differential evolution algorithm to address the deficiencies of the seed optimization algorithm. The main innovation lies in applying the BBO algorithm to image multi threshold segmentation, providing a new perspective and method for image segmentation tasks. The second significant progress is the combination of Levy flight dynamics and differential evolution algorithm (DEA) to improve the BBO algorithm, thereby enhancing its performance and image segmentation quality. Therefore, a multi-threshold image segmentation model based on the optimized seed optimization algorithm is developed. The experimental results showed that on the function f1, the iteration of the improved seed optimization algorithm was 53, the Generational Distance value was 0.0020, the Inverted Generational Distance value was 0.098, and the Spacing value was 0.051. Compared with the other two algorithms, the improved seed optimization algorithm has better image segmentation performance and clearer image segmentation details. In summary, compared with existing multi-threshold image segmentation methods, the proposed multi-threshold image segmentation model based on the improved seed optimization algorithm has a better image segmentation effect and higher efficiency, can significantly improve the quality of image segmentation, has positive significance for the development of image processing technology, and also provides references for the improvement and application of optimization algorithms.

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A Fast Centroiding Algorithm for Digital Sun Sensors for Nanosatellite Applications

Cited by 3 publications

References 18 publications

Design, Prototyping and Stratospheric Launch of CubeSats for University Competition

Design, Prototyping and Stratospheric Launch of CubeSats for University Competition

Desenvolvimento de um CubeSat para Mapeamento de Radiação Gama em Órbita Baixa

The improved strategy of BOA algorithm and its application in multi-threshold image segmentation

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