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Institution

Harbin Engineering University

EducationHarbin, Heilongjiang, China
About: Harbin Engineering University is a education organization based out in Harbin, Heilongjiang, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 31149 authors who have published 27940 publications receiving 276787 citations. The organization is also known as: HEU.


Papers
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Journal ArticleDOI
TL;DR: In this article, Li-ion intercalated compound λ-MnO 2 was used as positive electrode in asymmetric supercapacitor with activated carbon used as negative electrode in 1 ǫ L − 1 Li 2 SO 4 aqueous electrolyte solution.

75 citations

Journal ArticleDOI
TL;DR: The main purpose of this paper is to design an observer and a state feedback controller ensuring that the resulting closed-loop error system is singular finite-time bounded via observer-based state feedback and satisfies a prescribed H ∞ performance level in a finite- time interval.

75 citations

Journal ArticleDOI
TL;DR: In this article, the effects of different properties of interphase within the representative volume element (RVE) on both the transverse effective properties and damage behavior of the composites have been studied.

75 citations

Journal ArticleDOI
TL;DR: A method based on particle swarm optimization is proposed as post-processing on the SPM results obtained with SPSAM, which searches the most likely spatial distribution of classes in each coarse pixel to improve the SPS AM.
Abstract: Mixed pixels are widely existent in remote-sensing imagery. Although the proportion occupied by each class in mixed pixels can be determined by spectral unmixing, the spatial distribution of classes remains unknown. Sub-pixel mapping SPM addresses this problem and a sub-pixel/pixel spatial attraction model SPSAM has been introduced to realize SPM. However, this algorithm fails to adequately consider the correlation between sub-pixels. Consequently, the SPM results created by SPSAM are noisy and the accuracy is limited. In this article, a method based on particle swarm optimization is proposed as post-processing on the SPM results obtained with SPSAM. It searches the most likely spatial distribution of classes in each coarse pixel to improve the SPSAM. Experimental results show that the proposed method can provide higher accuracy and reduce the noise in the results created by SPSAM. When compared with the available modified pixel-swapping algorithm, the proposed method often yields higher accuracy results.

75 citations


Authors

Showing all 31363 results

NameH-indexPapersCitations
Peng Shi137137165195
Lei Zhang130231286950
Yang Liu1292506122380
Tao Zhang123277283866
Wei Zhang104291164923
Wei Liu102292765228
Feng Yan101104141556
Lianzhou Wang9559631438
Xiaodong Xu94112250817
Zhiguo Yuan9363328645
Rong Wang9095032172
Jun Lin8869930426
Yufeng Zheng8779731425
Taihong Wang8427925945
Mao-Sheng Cao8131424046
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022408
20212,476
20202,484
20192,402
20182,173