91 research outputs found
Texture feature coding method for SAR automatic target recognition with adaptive boosting
No full textIn this paper, the applicability of texture feature coding method (TFCM) to synthetic aperture radar (SAR) automatic target recognition (ATR) is studied. The TFCM cooccurrence matrix (CM) is used as an additional image feature for adaptive boosting (AdaBoost) algorithm which uses originally 2D-DFT coefficients as an image feature. The TFCM CM extracts the connected texture information from the image while 2D-DFT gives the value of the spatial frequency components. The TFCM CM is invariant under the rotation of images. With these characteristics, the TFCM CM can discriminate a confused target which is not classified properly using 2D-DFT. The TFCM CM is combined with 2D-DFT in fusion process of the AdaBoost algorithm. In experimental results, it is shown that the correct-classification probability of the proposed scheme is larger than that of the conventional scheme which uses only 2D-DFT and raw image as image features
Hydrophobic Particle Effects on Hydrate Crystal Growth at the Water-Oil Interface
No full textThis study introduced hydrophobic silica nanoparticles (SiNPs) into an interface of aqueous and hydrate-forming oil phases and analyzed the inhibition of hydrate crystal growth after seeding the hydrate slurry. The hydrate inhibition performance was quantitatively identified by micro-differential scanning calorimetry (micro-DSC) experiments. Through the addition of 1.0 wt % of SiNPs into the water-oil interface, the hydrate crystal growth only occurred around the seeding position of cyclopentane (CP) hydrate slurry, and the growth of hydrate crystals was retarded. Upon a further increase in the SiNP concentration up to 2.0 wt %, the SiNP-laden interface completely prevented hydrate growth. We observed a hollow conical shape of hydrate crystals with 0.0 and 1.0 wt % of SiNPs, respectively, but the size and shape of the conical crystals was shrunken at 1.0 wt % of silica nanoparticles. However, the conical shape did not appear with an increased nanoparticle concentration of 2 wt %. These findings can provide insight into hydrate inhibition in oil and gas delivery lines, possibly with nanoparticles
Thermodynamic Stability of Binary (Thiophene + CH4) Hydrate and Its Guest-Distribution Analysis for Methane Storage
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AI-based Ger detection reveals post-pandemic delay in informal housing progress in Mongolia
No full textMongolia is among the countries undergoing rapid urbanization, and its temporary nomadic dwellings-known as Ger-have expanded into urban areas. Newly formed ger communities in cities are potentially recognized as informal settlements, or slums. The distinctive circular, tent-like shape of gers enables their detection through very-high-resolution satellite imagery. We develop a computer vision algorithm to detect gers in Ulaanbaatar, the capital of Mongolia, utilizing satellite images collected from 2015 to 2025. Results reveal that ger settlements have relocated towards the capital's peripheral areas. The predicted ger household ratio based on our results exhibits a significant correlation (r = 0.85) with the World Bank's district-level poverty data. Our nationwide extrapolation suggests that housing improvements in informal settlements have fallen short of official projections by an average of 2.8% since the COVID-19 pandemic. We discuss the potential of machine learning on satellite imagery in providing insights into urbanization patterns and sustainable development.
Experimental determination of hydrate phase equilibrium without visual observation at isothermal conditions
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Recovery of Methane Intercalated in Natural Gas Hydrate Sediments Using a Carbon Dioxide and Flue Gas Mixture
No full textInvestigation on the Adhesive Behaviors and Growth Inhibition Strategies between Clathrate Hydrate and Aqueous Phase
No full textIntercalated methane production in natural gas hydrate sediments using a carbon dioxide and flue gas mixture
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