Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 4

Year

2023 1

2020 1

2015 1

2007 1

Keywords

Adaptive boosting 1

Bag-of-words 1

Dense connection pyramid 1

Filter-cluster attention 1

Low-light enhancement 1

Multangular-Pyramid Concave Friction System 1

Probabilistic latent semantic analysis 1

Recursive network 1

Scene category recognition 1

accuracy 1

assembly 1

calibration 1

near-fault earthquake 1

numerical study 1

pyramid 1

seismic isolation 1

variable frequency 1

volumetric 1

open ︾

Search scope:

排序： Display mode:

Parametric study on the Multangular-Pyramid Concave Friction System (MPCFS) for seismic isolation

Wei XIONG, Shan-Jun ZHANG, Li-Zhong JIANG, Yao-Zhuang LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1152-1165 doi: 10.1007/s11709-020-0659-7

Abstract: parametric studies are conducted on a steel-frame structure Finite-Element (FE) model with the Multangular-Pyramid

Keywords： seismic isolation variable frequency near-fault earthquake numerical study Multangular-Pyramid Concave

HTML PDF Collect

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: The proposed feature introduces spatial information among the latent topics by means of spatial pyramid

Keywords： Scene category recognition Probabilistic latent semantic analysis Bag-of-words Adaptive boosting

HTML PDF Collect

Error measurement and assemble error correction of a 3D-step-gauge

MAO Xinyong, LI Bin, SHI Hanmin, LIU Hongqi, LI Xi, LI Peigen

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4, Pages 388-393 doi: 10.1007/s11465-007-0067-x

Abstract: A new artifact called 3D-step-gauge consisting of a pyramid array and a compound, is proposed to calculateOnly one point on each profile of the pyramid in the array is probed, and its center coordinate can be

Keywords： volumetric pyramid assembly accuracy calibration

HTML PDF Collect

Filter-cluster attention based recursive network for low-light enhancement Research Article

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7, Pages 1028-1044 doi: 10.1631/FITEE.2200344

Abstract: The poor quality of images recorded in low-light environments affects their further applications. To improve the visibility of low-light images, we propose a recurrent network based on (FCA), the main body of which consists of three units: difference concern, gate recurrent, and iterative residual. The network performs multi-stage recursive learning on low-light images, and then extracts deeper feature information. To compute more accurate dependence, we design a novel FCA that focuses on the saliency of feature channels. FCA and self-attention are used to highlight the low-light regions and important channels of the feature. We also design a (DenCP) to extract the color features of the low-light inversion image, to compensate for the loss of the image’s color information. Experimental results on six public datasets show that our method has outstanding performance in subjective and quantitative comparisons.

Keywords： Low-light enhancement Filter-cluster attention Dense connection pyramid Recursive network