中国科学院机构知识库网格系统: 检索

Evaluating methods for quality of laser shock processing 期刊论文 OAI收割
Optik, 2020, 卷号: 200, 页码: 1-10
作者: Wu JJ(吴嘉俊); Zhao JB(赵吉宾); Qiao HC(乔红超); Zhang YN(张旖诺); Hu XL(胡宪亮)

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收藏 | 浏览/下载：16/0 | 提交时间：2019/10/10

Laser shock processing Surface modification Development status Evaluating methods

A new evil waveforms evaluating method for new BDS navigation signals 期刊论文 OAI收割
GPS SOLUTIONS, 2018, 卷号: 22, 期号: 2, 页码: 13
作者: He, Chengyan; Guo, Ji; Lu, Xiaochun; Wang, Xue; Rao, Yongnan

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收藏 | 浏览/下载：19/0 | 提交时间：2021/11/29

GNSS Satellite navigation signal Evil waveform Evaluating Threat model

Spring Snow-Albedo Feedback Analysis Over the Third Pole: Results From Satellite Observation and CMIP5 Model Simulations 期刊论文 OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 卷号: 123, 期号: 2, 页码: 750-763
作者: Guo, H (Guo, Hui); Wang, XY (Wang, Xiaoyi); Wang, T (Wang, Tao); Ma, YM (Ma, Yaoming); Ryder, J (Ryder, James)

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收藏 | 浏览/下载：44/0 | 提交时间：2019/06/25

TIBETAN PLATEAU EVALUATING BIASES SURFACE ALBEDO CLIMATE-CHANGE COVER TEMPERATURE VARIABILITY MONSOON SPREAD

A Track Initiation Method for the Underwater Target Tracking Environment 期刊论文 OAI收割
CHINA OCEAN ENGINEERING, 2018, 卷号: 32, 期号: 2, 页码: 206-215
作者: Zhang Y(张瑶); Li DD(李冬冬); Lin Y(林扬); Lv JF(吕进锋)

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收藏 | 浏览/下载：19/0 | 提交时间：2018/06/17

track initiation track splitting track evaluating track pruning track merging large measurement errors heavy clutter harsh underwater environment TSEPM

阿尔泰柯鲁木特-吉得克矿集区 Li-Be-Nb-Ta 成矿作用 学位论文 OAI收割
新疆乌鲁木齐: 中国科学院大学, 2017
作者: 王春龙

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收藏 | 浏览/下载：101/0 | 提交时间：2018/01/24

阿尔泰地区柯鲁木特-吉得克伟晶岩区富 Li 伟晶岩矿物学铌钽矿物u-pb 年代学母体花岗岩伟晶岩含矿性评价 Chinese Altai Kelumute-jideke Pegmatite Field Li-enriched Pegmatite Mineralogy Columbite-group Mineral U-pb Geochronology Parental Granite EvaluatIng Of Rare-metal MIneralization In Pegmatite

Parameterized characterization for rotating-bending fatigue strength of high-strength metal components 会议论文 OAI收割
International Conference on Airworthiness ＆ Fatigue-7th ICSAELS Series Conference, 中国北京/Beijing, China, 2013-03-25
作者: Zhang JF(张均锋); Bian XD(卞祥德); Mu D(穆丹)

收藏 | 浏览/下载：33/0 | 提交时间：2014/04/02

fatigue surface modification layer parameterized characterization evaluating model

An auto-focus algorithm of fast search based on combining rough and fine adjustment (EI CONFERENCE) 会议论文 OAI收割
3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China
作者: Zhang S.; Zhang Y.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

A coarse and fine combined fast search and auto-focusing algorithm was suggested in this paper. This method can automatically search and find the focal plane by evaluating the image definition. The Krisch operator based edge energy function was used as the big-step coarse focusing and then the wavelet transform based image definition evaluation function which is sensitivity to the variation in image definition was used to realize the small-step fine focusing in a narrow range. The un-uniform sampling function of the focusing area selection used in this method greatly reduces the workload and the required time for the data processing. The experimental results indicate that this algorithm can satisfy the requirement of the optical measure equipment for the image focusing. (2012) Trans Tech Publications.

一种基于分组自适应的网络环境快速构建方法 期刊论文 OAI收割
中国科学院研究生院学报, 2012, 卷号: 29, 期号: 4, 页码: 536-542
王佳宾; 连一峰; 陈恺

收藏 | 浏览/下载：19/0 | 提交时间：2012/11/12

security evaluating network environment common software adaptive grouping

新型推流式膜生物反应器技术研究 学位论文 OAI收割
硕士, 北京: 中国科学院研究生院, 2011
王琦

收藏 | 浏览/下载：71/0 | 提交时间：2011/08/26

膜生物反应器（MBR）能耗污水处理推流器膜污染 Membrane Bioreactor High energy consumption evaluating indicator propeller Membrane fouling control

Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.

收藏 | 浏览/下载：78/0 | 提交时间：2013/03/25

Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.