中国科学院机构知识库网格系统: 检索

How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation 期刊论文 OAI收割
SENSORS, 2022, 卷号: 22, 期号: 22, 页码: 24
作者: Peng, Peng; Claramunt, Christophe; Cheng, Shifen; Lu, Feng

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收藏 | 浏览/下载：37/0 | 提交时间：2022/12/23

global oil transportation ports vessel trajectory data direct influence diffusion indirect influence diffusion

How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation 期刊论文 OAI收割
SENSORS, 2022, 卷号: 22, 期号: 22, 页码: 24
作者: Peng, Peng; Claramunt, Christophe; Cheng, Shifen; Lu, Feng

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收藏 | 浏览/下载：42/0 | 提交时间：2022/12/23

global oil transportation ports vessel trajectory data direct influence diffusion indirect influence diffusion

IM2Vec: Representation learning-based preference maximization in geo-social networks 期刊论文 OAI收割
INFORMATION SCIENCES, 2022, 卷号: 604, 页码: 170-196
作者: Jin, Ziwei; Shang, Jiaxing; Ni, Wancheng; Zhao, Liang; Liu, Dajiang

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收藏 | 浏览/下载：55/0 | 提交时间：2022/07/25

Influence maximization Representation learning Location-based social networks Diffusion model Reverse influence sampling

Global oil traffic network and diffusion of influence among ports using real time data 期刊论文 OAI收割
ENERGY, 2019, 卷号: 172, 页码: 333-342
作者: Peng, Peng; Poon, Jessie P. H.; Yang, Yu; Lu, Feng; Cheng, Shifen

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收藏 | 浏览/下载：54/0 | 提交时间：2019/05/22

Global oil traffic networks Automatic identification system Ports Modified liner threshold model Influence diffusion

Global oil traffic network and diffusion of influence among ports using real time data 期刊论文 OAI收割
ENERGY, 2019, 卷号: 172, 页码: 333-342
作者: Peng, Peng; Poon, Jessie P. H.; Yang, Yu; Lu, Feng; Cheng, Shifen

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收藏 | 浏览/下载：26/0 | 提交时间：2019/05/22

Global oil traffic networks Automatic identification system Ports Modified liner threshold model Influence diffusion

Global oil traffic network and diffusion of influence among ports using real time data 期刊论文 OAI收割
ENERGY, 2019, 卷号: 172, 页码: 333-342
作者: Peng, Peng; Poon, Jessie P. H.; Yang, Yu; Lu, Feng; Cheng, Shifen

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收藏 | 浏览/下载：15/0 | 提交时间：2019/05/22

Global oil traffic networks Automatic identification system Ports Modified liner threshold model Influence diffusion

Study on Information Diffusion Analysis in Social Networks and Its Applications 期刊论文 OAI收割
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 377-401
作者: Biao Chang; Tong Xu, Qi Liu; En-Hong Chen

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收藏 | 浏览/下载：28/0 | 提交时间：2021/02/23

Information diffusion influence evaluation influence maximization information source detection social network.

Maximizing Time-discounted Influential Sustainability in Social Networks 会议论文 OAI收割
Banff, Canada, Oct. 5-8, 2017
作者: Zeng, Shuai; Ni, Xiaochun; Li, Juanjuan; Yuan, Yong; Wang, Shuai

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收藏 | 浏览/下载：41/0 | 提交时间：2018/01/04

Social Marketing Influence Sustainability Information Diffusion Seeding Strategy

在线社交网络中的社会影响力分析 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2015
作者: 罗川

收藏 | 浏览/下载：283/0 | 提交时间：2015/09/02

社会影响力分析在线社交网络非线性动态系统多维Hawkes过程信息传播影响力最小化 social influence analysis online social network nonlinear dynamic system multi-dimensional Hawkes process information diffusion influence minimization

A sensitive solid-phase time-resolved fluorescence immunoassay apparatus (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, June 17, 2009 - June 19, 2009, Beijing, China
作者: Song K.-F.; Li J.-L.; Zhang W.-L.; Wang Y.-L.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

In the device a He-Ne laser of flash frequency 1-20 Hz was adopted as exciting light source and three key technical problems have been solved successfully in order to enhance the detecting sensitivity and measuring stability of the device for time-resolved fluorimmunoassays(TRFIA) [1]. The first one is to design optimum exciting optical system so that the exciting light beam excite the sample most effectively. The second one is to have a project spectrum filter which can reduce the affection of the background light to the photomultiplier tube and also ensure influence of the stray light and mixed diffusion light to the sample fluorescence to the least the sample fluorescence through the integrating sphere and come to the grating monochromator The right wavelength will be chosed through changing the angle of incidence of the grating monochromator. The third one is to simulate the principle of sample averaging of BOXCAR averager. In the device SCM was used as primary controller and CPLD was used as timing controller. Through the preparation process signal-to-noise ratio(SNR) will be improved also adjust delay time ampling frequency and sampling number arbitrarily. By testing the sensitivity is 10-12mol/L(substance marked by Eu3+) examination repeat is &le2.5% examination linearity is from 10 -8mol/L to 10-12mol/L correlation coefficient is 99.98%(p&le0.01). The instrument is advanced for ultrasensitive detection of antigen and antibody and solve the tumor genetic variation the virus protein detection. 2009 SPIE.