中国科学院机构知识库网格系统: 检索

An improved rock typing method for tight sandstone based on new rock typing indexes and the weighted fuzzy kNN algorithm 期刊论文 OAI收割
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 卷号: 210, 页码: 16
作者: Ji LL(姬莉莉); Lin M(林缅); Jiang WB(江文滨); Cao GH(曹高辉); Xu ZP(徐志朋)

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收藏 | 浏览/下载：67/0 | 提交时间：2022/02/17

New rock typing indexes The weighted fuzzy kNN algorithm Tight sandstone Non-Darcy flow

A novel addition to the Pezizellaceae (Rhytismatales, Ascomycota) 期刊论文 OAI收割
PHYTOTAXA, 2021, 卷号: 480, 期号: 3, 页码: 251-261
作者: Karunarathna,Anuruddha; Dzialak,Pawel; Jayawardena,Ruvishika S.; Karunarathna,Samantha Chandranath; Kuo,Chang-Hsin

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收藏 | 浏览/下载：91/0 | 提交时间：2022/04/02

1 new species coelomycetes graminicolous fungi Leotiomycetes FUNGI ALGORITHM

Design and realization of a new agorithm of calculating the absolute positon angle based on the incremental encoder 会议论文 OAI收割
Nanjing, PEOPLES R CHINA, 2017-10-24
作者: Liu, Peng; Yang, Yong-qing; Li, Zhi-guo; Han, Jun-feng; Wei, Yu

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收藏 | 浏览/下载：44/0 | 提交时间：2018/07/05

Incremental Encoder New Algorithm Mechanical Zero Coordinates Electrical Zero Coordinate

A case study of the role of climate, humans, and ecological setting in Holocene fire history of northwestern Europe SCI/SSCI论文 OAI收割
2015
作者: Cui Q. Y.; Gaillard, M. J.; Olsson, F.

收藏 | 浏览/下载：44/0 | 提交时间：2015/12/09

fire history land-use history charcoal analysis Landscape Reconstruction Algorithm (LRA) Holocene Smaland Sweden landscape reconstruction algorithm new-south-wales fagus-sylvatica forest history reveals-model quantitative reconstructions regional vegetation charcoal analyses plant abundance land-use

A novel algorithm for action landmarks extraction (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Advanced Materials and Computer Science, ICAMCS 2012, December 27, 2012 - December 28, 2012, Xiamen, China
作者: Zhao J.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

In this work we present a new algorithm for extracting action landmarks from proposition landmarks graph. Compared to published approaches the action landmarks extraction algorithm we proposed can find more disjunctive action landmarks and single action landmarks. We illustrate our ideas with experiments among benchmark domains. The experiments show that the new algorithm is competitive with traditional algorithm for finding action landmarks from relaxed plan graph. (2013) Trans Tech Publications Switzerland.

A new algorithm for solving the best-fit sphere of optical aspherical surface (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Advances in Materials and Manufacturing, ICAMMP 2011, December 16, 2011 - December 18, 2011, Guilin, China
作者: Lin J.; Lu M.

收藏 | 浏览/下载：50/0 | 提交时间：2013/03/25

To solve the best-fit sphere (BFS) accurately is one of the technological keys for the generating and testing of optical aspherical surfaces. This paper presents a new algorithm for solving the BFS of aspherical surfaces to suppress some deficiencies in the existing BFS algorithms. In the proposed approach it is not only suitable for the conic surface a BFS is constructed but also for higher order aspheres. The obtained asphericity and material removal function is more suitable for the machining and test. (2012) Trans Tech Publications which passes through both sides of endpoints in the section o -?xy of the aspherical surfaces Switzerland. the center of the BFS is shifted along the x-axis and its radius of curvature is automatically computed. The variable step size method is proposed to speed up the convergence of the iteration. Through numerically solving the BFS of conic and cubic surface the advantages of the proposed approach are verified. The results show that the proposed approach is of rapid convergence and high accuracy

A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China
作者: Wang Y.; Liu G.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

This paper presents a new fast target recognition algorithm the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm it is also robust to affine transform light projective transform noise thin fog occlusion and illumination change. the performed experiments show that it has fast searching speed and can accurately recognize and locate target in real scenes. 2012 IEEE.

Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE) 会议论文 OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
Zhang M.-H.; Zhang Y.-Y.

收藏 | 浏览/下载：53/0 | 提交时间：2013/03/25

Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography which can not reveal bone and soft tissue position deficiency in one exposing and reduces the Xray radiation dose. Meanwhile various factors cause the decline of image quality and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect SNR was high as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications Switzerland.

On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文 OAI收割
2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China
作者: Yu P.; Yu P.; Gao X.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

As an effective statistical learning tool AdaBoosting has been widely used in the field of pattern recognition. In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality whilst to remove noise bands simultaneously. Then we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.

An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者: Yu P.; Yu P.

收藏 | 浏览/下载：43/0 | 提交时间：2013/03/25

In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA) genetic algorithm (GA) and artificial neural networks (ANNs). First some characteristics of the hyperspectral remotely sensed data such as high correlation high redundancy etc. are investigated. Based on the above analysis we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.