中国科学院机构知识库网格系统: 检索

Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System 期刊论文 OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 2022, 卷号: 10, 10, 期号: 10, 页码: 16, 16
作者: Luo, Peng; Song, Yuanjie; Xu, Xiaoyang; Wang, Chen; Zhang, Shaowei

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收藏 | 浏览/下载：19/0 | 提交时间：2022/11/21

real-time communication real-time communication satellite communication buoy hydrodynamic analysis data recovery strategy satellite communication buoy hydrodynamic analysis data recovery strategy

A real-time multiagent strategy learning environment and experimental framework 会议论文 OAI收割
Shanghai, China, June 17-22, 2018
作者: Yang LY(杨丽英); Gu F(谷丰); He YQ(何玉庆); Zhang HD(张宏达); Li DC(李德才)

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收藏 | 浏览/下载：25/0 | 提交时间：2018/07/30

Multiagent Reinforcement learning Real-time strategy

A novel ellipse detection method for real-Time applications 会议论文 OAI收割
Beijing, China, May 22-24, 2018
作者: Zhang LM(张丽敏); Zhu F(朱枫); Hao YM(郝颖明); Pan W(潘旺)

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收藏 | 浏览/下载：49/0 | 提交时间：2019/01/13

Ellipse detection real-time ellipse fitting arc selection strategy

Revenue Models for Demand Side Platforms in Real Time Bidding Advertising 会议论文 OAI收割
Banff, Canada, Oct. 5-8, 2017
作者: Qin, Rui; Ni, Xiaochun; Yuan, Yong; Li, Juanjuan; Wang, Fei-Yue

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收藏 | 浏览/下载：31/0 | 提交时间：2017/12/29

Real Time Bidding Demand Side Platform Revenue Model Two-stage Resale Strategy Optimization

Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
作者: Shi, Guang; Liu, Derong; Wei, Qinglai

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收藏 | 浏览/下载：20/0 | 提交时间：2017/02/23

Recurrent Neural Nets Neurocontrollers Learning (Artificial Intelligence) Office Environment Optimal Control Solar Power Energy Consumption Time Series Secondary Cells Energy Management Systems Function Approximation Echo State Network-based Q-learning Method Optimal Battery Control Renewable Energy Optimal Energy Management Solar Energy Energy Consumption Energy Demand Time Series Real-time Electricity Rate Periodic Functions Q-function Optimal Charging Strategy Optimal Discharging Strategy Optimal Idle Strategy Numerical Analysis

Hybridization chain reaction engineered dsDNA for Cu metallization: an enzyme-free platform for amplified detection of cancer cells and microRNAs 期刊论文 OAI收割
chemical communications, 2015, 卷号: 51, 期号: 57, 页码: 11496-11499
作者: Zhang,Yan; Chen,Zhaowei; Tao,Yu; Wang,Zhenzhen; Ren,Jinsong

收藏 | 浏览/下载：108/0 | 提交时间：2016/05/04

TEMPLATED COPPER NANOPARTICLES REAL-TIME PCR LABEL-FREE REACTION AMPLIFICATION FLUORESCENCE PROBES DNA METALLIZATION GRAPHENE OXIDE NANOCLUSTERS EXPRESSION STRATEGY

Day-Ahead Real-Time Pricing Strategy Based on the Price-Time-Type Elasticity of Demand 会议论文 OAI收割
2013 15th IEEE International Conference on Communication Technology (ICCT 2013) , Guilin, China, November 17-19, 2013
作者: Li ZW(李忠文); Yu HB(于海斌); Huang HX(黄海新); Zang CZ(臧传治)

收藏 | 浏览/下载：22/0 | 提交时间：2013/12/26

demand response real-time price particle swarm optimization electricity pricing strategy demand side management

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：56/0 | 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).

Research on computer control strategy for optical electric tracking system (EI CONFERENCE) 会议论文 OAI收割
2011 IEEE International Conference on Mechatronics and Automation, ICMA 2011, August 7, 2011 - August 10, 2011, Beijing, China
作者: Li M.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

In this paper mathematic model and computer control strategy for optical electrical tracking system have been researched and discussed. First the system's structure and its work process have been analyzed. Second according to the system's moving law the system's mathematic model has been built. As to the computer control strategy trigger guiding two closed loop PID control method as well as compound control method have been applied to satisfy the tracking accuracy. Third we apply the bilinear transformation to get the digital system and the sample time is 800Hz. The simulation results indicate that the maximum tracking error can be limited to less than 0.5 and the regulator time can be 0.04s. Then the control project resonance frequency should be more than 200Hz and the sample frequency should be more than 400Hz to meet the control accuracy requirement. So we can conclude that the system indexes such as swiftness high accuracy as long as real time have been satisfied. And the requirement of mechanical property has been present which is very useful to mechanical working. 2011 IEEE.

Real-time adjusting of yaw angle of space camera based on General Image-Quality Equation (EI CONFERENCE) 会议论文 OAI收割
2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China
作者: Wang J.; He X.; Xu S.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

A Strategy of Real-Time Adjusting of Yaw Angle (SRTAYA) of space camera was proposed base on General Image-Quality Equation (GIQE). During space camera imaging yaw angle which is caused by rotation of the earth and the gesture changing of satellite impacts integral aspect of TDI (Time Delay and Integration) CCD (Charge Couple Device) so that the image quality degrades. For extending imaging time of space camera and enhancing image quality yaw angle must be adjusted. The descending value of GIQE reflects the degrading quantity of image quality. The SRTAYA calculated an acceptable augmenting value of yaw angle according with a specific value of GIQE which the degrading of image quality can't be neglected no longer. The example which actualized a practical orbit of satellite illuminated that the SRTAYA could limit the value of yaw angle less than 318.45". 2009 IEEE.