A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy

Hamano, Shota; Ogawa, Takahiro; Haseyama, Miki

doi:10.1109/access.2017.2786218

Cited by 3 publications

(1 citation statement)

References 65 publications

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“…The tilting vector (Pal et al, 2019) G α ( a ) mainly focuses on averaging closely related similar gradients and it ignores nearby dissimilar gradient potential outliers. User-specified parameter for preventing hand-tuned parameters; it enhances the effectiveness of advanced trilateral filter, and the neighbourhood size ( β kα ) are utilized to gradient smoothing (Hamano et al, 2018).…”

Section: Literature Surveymentioning

confidence: 99%

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

Raja

Naveen

Palaniswamy

et al. 2021

Transactions of the Institute of Measurement and Control

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Filtering is one of the essential tools utilized to remove undesirable features in biomedical images. Most biomedical image denoising systems are used for clinical diagnosis. So, in this paper, we use the advanced trilateral filter in the field programmable gate array (FPGA) for removing noise in the biomedical image. Generally, the trilateral filter is used as an edge preserving smoothing filter. This advanced approach of trilateral filter gives the best noise diminution and enhances the image quality. This paper also proposes the hardware implementation of an efficient FPGA-based advanced trilateral filter on real time execution. In this manuscript, we intend to design and implement the FPGA architecture using an advanced trilateral filter. Biomedical images with different noises are used during implementation and compared with the existing bilateral and trilateral architecture to assess the proposed architecture performance. For evaluating the performance metrics of the proposed advanced trilateral filter on MATLAB platform, peak signal-to-noise ratio (PSNR), mean squared error (MSE) and structured similarity index (SSIM) are calculated for different biomedical images – such as brain (MRI), chest (x-ray) and lungs (CT) – with different noises – such as salt and pepper, Gaussian, Poisson and Speckle noises – compared with existing bilateral filter and trilateral filter, respectively. The proposed advanced trilateral filter implementations are checked on Virtex-6, Virtex-7 and Zynq FPGA development board using Verilog programming language in Xilinx ISE 14.5 design tools. The simulation outcomes display that the FPGA execution of the advanced trilateral filter contains better noise removal efficiency in biomedical images compared with the existing bilateral and trilateral filter.

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Section: Literature Surveymentioning

confidence: 99%

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

Raja

Naveen

Palaniswamy

et al. 2021

Transactions of the Institute of Measurement and Control

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Fuzzy Semantic Agent Based on Ontology Model for Chinese Lyrics Classification

Lee

Wang

Chen

et al. 2018

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Folksonomias: estrutura e aplicações

Barros¹,

Sales²,

Rosa³

2022

Inf.Inf.

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Objetivo: Dessa pesquisa é sistematizar, com base na literatura, uma compreensão dos aspectos fundamentais das folksonomias. Caracteriza-se como pesquisa bibliográfica com análise quali-quantitativa de dados. Foram analisados 56 artigos de periódicos revisados por pares, publicados no período de 2009 a 2019, em português e inglês. A maior quantidade de publicações ocorreu em 2018 e tem o primeiro autor vinculado a instituições chinesas. Metodologia:Quatro principais linhas de abordagem da temática foram mapeadas, foco nos usuários, foco na recuperação da informação, foco na recomendação de informação e foco em testes de modelos de construção e avaliação de folksonomia. A estrutura da folksonomia consiste basicamente de termos e expressões fornecidos pelos usuários, mas diferentes pontos de vista podem ser observados pelo maior ou menor controle terminológico e definição do público que poderá incluir novos termos.Conclusão: Que as folksonomias podem ser aprimoradas qualitativamente com o uso de uma estrutura semântica mínima, como a categorização de termos, como forma de manter a consistência e contribuir para a interoperabilidade de diferentes aplicações.

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A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy

Cited by 3 publications

References 65 publications

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

A field programmable gate array-based biomedical noise reduction framework using advanced trilateral filter

Fuzzy Semantic Agent Based on Ontology Model for Chinese Lyrics Classification

Folksonomias: estrutura e aplicações

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