Institution
Harbin Engineering University
Education•Harbin, 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 & Computer science. The organization has 31149 authors who have published 27940 publications receiving 276787 citations. The organization is also known as: HEU.
Topics: Control theory, Computer science, Nonlinear system, Artificial neural network, Microstructure
Papers published on a yearly basis
Papers
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TL;DR: The results indicate that the CNTs-HA nanocomposite is believed to be very useful for the development of novel BFC device.
78 citations
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TL;DR: Waste glass-based cellular geopolymers with total porosity about 55vol%, thermal conductivity of 0.21 W/mK, and compression strength of 7.3 MPa were successfully produced by a direct foaming technique using hydrogen peroxide (chemical pore-forming agent) in combination with Triton X-100 (stabilizing agent) as discussed by the authors.
78 citations
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TL;DR: A prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor, which outperforms some state-of-the-art anomaly detection methods.
Abstract: The key to hyperspectral anomaly detection is to effectively distinguish anomalies from the background, especially in the case that background is complex and anomalies are weak. Hyperspectral imagery (HSI) as an image-spectrum merging cube data can be intrinsically represented as a third-order tensor that integrates spectral information and spatial information. In this article, a prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise-smooth prior on spatial dimension can be embedded by a linear total variation-norm regularization. For anomaly tensor, it is unfolded along spectral dimension coupled with spatial group sparse prior that can be represented by the l2,1-norm regularization. In the designed method, all the priors are integrated into a unified convex framework, and the anomalies can be finally determined by the anomaly tensor. Experimental results validated on several real hyperspectral data sets demonstrate that the proposed algorithm outperforms some state-of-the-art anomaly detection methods.
78 citations
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TL;DR: In this article, a finite impulse response (FIR) filter-based online secondary path identification algorithm is proposed to eliminate the interactive disturbances between the operation of the active noise control system and the identification of the secondary path.
78 citations
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01 Sep 2018
TL;DR: Different characteristics and properties of SI-based algorithms and their links with self-organization are analyzed here from both mathematical and qualitative perspectives.
Abstract: Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems. Some significant developments have been made in recent years, though there are still many open problems in this area. This paper provides a short but timely analysis about SI-based algorithms and their links with self-organization. Different characteristics and properties are analyzed here from both mathematical and qualitative perspectives. Future research directions are outlined, and open questions are also highlighted.
77 citations
Authors
Showing all 31363 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peng Shi | 137 | 1371 | 65195 |
Lei Zhang | 130 | 2312 | 86950 |
Yang Liu | 129 | 2506 | 122380 |
Tao Zhang | 123 | 2772 | 83866 |
Wei Zhang | 104 | 2911 | 64923 |
Wei Liu | 102 | 2927 | 65228 |
Feng Yan | 101 | 1041 | 41556 |
Lianzhou Wang | 95 | 596 | 31438 |
Xiaodong Xu | 94 | 1122 | 50817 |
Zhiguo Yuan | 93 | 633 | 28645 |
Rong Wang | 90 | 950 | 32172 |
Jun Lin | 88 | 699 | 30426 |
Yufeng Zheng | 87 | 797 | 31425 |
Taihong Wang | 84 | 279 | 25945 |
Mao-Sheng Cao | 81 | 314 | 24046 |