scholarly journals Sistematização de técnicas de visualização da informação para a modelagem de domínios

2021 ◽  
Vol 26 (3) ◽  
pp. 327
Author(s):  
Tainá Regly ◽  
Maria Luiza de Almeida Campos ◽  
Linair Campos
Keyword(s):  

Objetivo: Busca elencar e caracterizar técnicas de visualização de informação aplicáveis a sistemas e softwares relacionados com a modelagem de domínios do conhecimento que sejam voltados para representação e recuperação da informação.Metodologia: Utiliza abordagem qualitativa, com objetivo exploratório e procedimento bibliográfico de natureza aplicada para identificar técnicas de visualização da informação presentes na literatura da Ciência da Informação e Ciência da Computação e estabelecer categorias de análise para realizar a sistematização dessas técnicas. Resultados:Na categoria Estrutura linear foram alocadas as técnicas Fish-eye e Perspective Wall. Na segunda categoria, temos as técnicas Coordenadas Paralelas e Table Lens classificadas como Estruturas multidimensionais. Na categoria em que consistem as Estruturas hierárquicas, foram classificadas as técnicas Cone Tree, Treemap e Árvore Hiperbólica. A quarta e última categoria abordada é a de Estrutura em redes na qual consiste a técnica de Grafos. Conclusões: Quando o tratamento, a representação e a recuperação da informação com os SOCs não são pensados em conjunto com as formas de representação gráfica, torna-se costumeiro encontrarmos sistemas falhos que não apresentam subordinações e relações entre os conceitos de forma clara e coesa para seu usuário. As técnicas de visualização da informação manifestam-se como recursos que permitem uma representação interativa das informações, de modo que haja melhoria no seu processo cognitivo, busca e recuperação em um sistema.

2019 ◽  
Vol 2019 (9) ◽  
pp. 374-1-374-6
Author(s):  
Yen-Chou Tai ◽  
Yu-Hsiang Chiu ◽  
Yi-Yu Hsieh ◽  
Yong-Sheng Chen ◽  
Jen-Hui Chuang

2021 ◽  
Vol 13 (9) ◽  
pp. 1852
Author(s):  
Yiren Wang ◽  
Dong Liu ◽  
Wanyi Xie ◽  
Ming Yang ◽  
Zhenyu Gao ◽  
...  

The formation and evolution of clouds are associated with their thermodynamical and microphysical progress. Previous studies have been conducted to collect images using ground-based cloud observation equipment to provide important cloud characteristics information. However, most of this equipment cannot perform continuous observations during the day and night, and their field of view (FOV) is also limited. To address these issues, this work proposes a day and night clouds detection approach integrated into a self-made thermal-infrared (TIR) all-sky-view camera. The TIR camera consists of a high-resolution thermal microbolometer array and a fish-eye lens with a FOV larger than 160°. In addition, a detection scheme was designed to directly subtract the contamination of the atmospheric TIR emission from the entire infrared image of such a large FOV, which was used for cloud recognition. The performance of this scheme was validated by comparing the cloud fractions retrieved from the infrared channel with those from the visible channel and manual observation. The results indicated that the current instrument could obtain accurate cloud fraction from the observed infrared image, and the TIR all-sky-view camera developed in this work exhibits good feasibility for long-term and continuous cloud observation.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2776
Author(s):  
Kang Hyeok Choi ◽  
Changjae Kim

The fish-eye lens camera has a wide field of view that makes it effective for various applications and sensor systems. However, it incurs strong geometric distortion in the image due to compressive recording of the outer part of the image. Such distortion must be interpreted accurately through a self-calibration procedure. This paper proposes a new type of test-bed (the AV-type test-bed) that can effect a balanced distribution of image points and a low level of correlation between orientation parameters. The effectiveness of the proposed test-bed in the process of camera self-calibration was verified through the analysis of experimental results from both a simulation and real datasets. In the simulation experiments, the self-calibration procedures were performed using the proposed test-bed, four different projection models, and five different datasets. For all of the cases, the Root Mean Square residuals (RMS-residuals) of the experiments were lower than one-half pixel. The real experiments, meanwhile, were carried out using two different cameras and five different datasets. These results showed high levels of calibration accuracy (i.e., lower than the minimum value of RMS-residuals: 0.39 pixels). Based on the above analyses, we were able to verify the effectiveness of the proposed AV-type test-bed in the process of camera self-calibration.


Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2554
Author(s):  
Oleg Naimark ◽  
Vladimir Oborin ◽  
Mikhail Bannikov ◽  
Dmitry Ledon

An experimental methodology was developed for estimating a very high cycle fatigue (VHCF) life of the aluminum alloy AMG-6 subjected to preliminary deformation. The analysis of fatigue damage staging is based on the measurement of elastic modulus decrement according to “in situ” data of nonlinear dynamics of free-end specimen vibrations at the VHCF test. The correlation of fatigue damage staging and fracture surface morphology was studied to establish the scaling properties and kinetic equations for damage localization, “fish-eye” nucleation, and transition to the Paris crack kinetics. These equations, based on empirical parameters related to the structure of the material, allows us to estimate the number of cycles for the nucleation and advance of fatigue crack.


Author(s):  
Walter C. Dunlap ◽  
David McB. Williams ◽  
Bruce E. Chalker ◽  
Anastazia T. Banaszak
Keyword(s):  

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