中国科学院机构知识库网格系统: 检索

Numerical heat transfer of non-similar ternary hybrid nanofluid flow over linearly stretching surface 期刊论文 OAI收割
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2023
作者: Riaz, Saman; Afzaal, MuhammadF; Wang Z(王展); Jan, Ahmed; Farooq, Umer

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收藏 | 浏览/下载：24/0 | 提交时间：2023/09/26

Thermal radiation and chemically reactive aspects of mixed convection flow using water base nanofluids: Tiwari and Das model 期刊论文 OAI收割
WAVES IN RANDOM AND COMPLEX MEDIA, 2021, 页码: 31
作者: Elkotb, Mohamed Abdelghany; Hamid, Aamir; Khan, M. Riaz; Khan, Muhammad Naveed; Galal, Ahmed M.

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收藏 | 浏览/下载：39/0 | 提交时间：2022/04/02

An Improved Real-time Visual Tracking Method for Space Non-cooperate Target 会议论文 OAI收割
International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control, Beijing, May 9-11, 2016
作者: Zhang LM(张丽敏); Zhu F(朱枫); Hao YM(郝颖明)

收藏 | 浏览/下载：26/0 | 提交时间：2016/09/13

visual tracking space non-cooperate target 3D model false matches sampled points local region similarity

A non-local approach to crack process modeling in ceramic materials subjected to thermal shock 期刊论文 OAI收割
ENGINEERING FRACTURE MECHANICS, 2015, 卷号: 133, 页码: 85-98
作者: Li J; Song F(宋凡); Jiang CP; Song F(宋凡)

收藏 | 浏览/下载：123/0 | 提交时间：2015/03/17

Non-local model Multiple cracking Thermal shock Finite element analysis Ceramics

A three-dimensional transient model for EGS subsurface thermo-hydraulic process 期刊论文 OAI收割
energy, 2014, 卷号: 72, 页码: 300-310
作者: Jiang, Fangming; Chen, Jiliang; Huang, Wenbo; Luo, Liang

收藏 | 浏览/下载：36/0 | 提交时间：2016/11/03

Hot dry rock technology Enhanced or engineered geothermal systems Local thermal non-equilibrium Numerical model Porous heat reservoir

Direct numerical simulations on crack formation in ceramic materials under thermal shock by using a non-local fracture model 期刊论文 OAI收割
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY, 2013, 卷号: 33, 期号: 13-14, 页码: 2677-2687
作者: Li J; Song F(宋凡); Jiang CP

收藏 | 浏览/下载：35/0 | 提交时间：2013/09/27

Thermal shock Crack patterns Non-local fracture model Numerical simulations

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：59/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

New Strain Gradient Theory And Analysis 期刊论文 OAI收割
Acta Mechanica Solida Sinica, 2009, 卷号: 22, 期号: 1, 页码: 45-52
作者: Yi DK(易大可); Wang ZQ(王自强); Chen SH(陈少华)

收藏 | 浏览/下载：911/90 | 提交时间：2009/08/03

Non-Local Model Micro-Indentation Strain Gradient Theory Size Effect Plasticity Crack

Non-parametric time series models for hydrological forecasting SCI/SSCI论文 OAI收割
2007
作者: Xia J.

收藏 | 浏览/下载：26/0 | 提交时间：2012/06/08

averaged method backfitting technique forecasting functional-coefficient autoregression model transfer function model local polynomial method non-parametric and functional-coefficient autoregression model periodic autoregressive model Semi-parametric regression model neural-networks runoff

Application of a k-ε Model to Heat Transfer in Impinging Flows 期刊论文 OAI收割
JOURNAL OF THERMAL SCIENCE, 2004, 卷号: 13, 期号: 1, 页码: 62,66
Bart Merci; Chris De Langhe; Koen Lodefier; Erik Dick

收藏 | 浏览/下载：13/0 | 提交时间：2013/03/11

local heat transfer impinging jets non-linear k-ε model.