D
Dong Liu
Researcher at Nanjing University of Science and Technology
Publications - 499
Citations - 9899
Dong Liu is an academic researcher from Nanjing University of Science and Technology. The author has contributed to research in topics: Chemistry & Combustion. The author has an hindex of 39, co-authored 412 publications receiving 7618 citations. Previous affiliations of Dong Liu include Indian Ministry of Environment and Forests & Purdue University.
Papers
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Journal ArticleDOI
Experimental and numerical study on sooting transition process in iso-octane counterflow diffusion flames: Diagnostics and combustion chemistry
TL;DR: In this article, a series of iso-octane flames ranging from sooting-free to heavy-sooting were investigated by stepwise increasing the oxygen concentration (XO) in the oxidizer stream, and two different algorithms based on the three wavelengths distribution of flame images captured by digital single lens reflex (DSLR) camera was proposed to identify the critical condition for the sooting transition process.
Patent
Unmanned aerial vehicle autonomous landing guidance system based on solar-blind region ultraviolet imaging
TL;DR: In this paper, an unmanned aerial vehicle (UAV) autonomous landing guidance system based on solar-blind region ultraviolet imaging (SUBUVAE) was proposed. But the UAV was not equipped with a landing platform, and the two-channel imaging module, the data processing module and the data storage module were arranged on an UAV.
Patent
Microfluidic pumping based on dielectrophoresis
Dong Liu,Suresh V. Garimella +1 more
TL;DR: In this article, a traveling-wave dielectrophoresis (two-DEP) of microparticles is used to induce electromechanical effects in the fluid using microelectrodes.
Proceedings ArticleDOI
Sparse microdefect evaluation system for large fine optical surfaces based on dark-field microscopic scattering imaging
TL;DR: In this article, a dark-field microscopic scattering imaging system for microdefects evaluation is introduced and the principle of the proposed surface micro-defect evaluation system is presented and the experiment results on evaluating numerous of test samples are given.
Journal ArticleDOI
Denoising the space-borne high-spectral-resolution lidar signal with block-matching and 3D filtering.
TL;DR: A novel method to reduce the signal noise level of ACHSRL is proposed and a state-of-the-art algorithm for imaging denoising, block matching 3D filtering (BM3D), is employed, which not only achieves denoised, but also preserves aerosol/cloud feature details.