搜索结果: 1-13 共查到“信息处理技术 Network”相关记录13条 . 查询时间(0.109 秒)
HISTORICAL SDI, THEMATIC MAPS AND ANALYSIS OF A COMPLEX NETWORK OF MEDIEVAL TOWERS (13TH–15TH CENTURY) IN THE MOORISH STRIP
GIS, Historical SDI, Spatial Data Analysis, Visibility, Medieval heritage, Towers of Moorish Strip
2018/9/19
This work is part of an investigation into the use of GIS for the documentation and comprehension of medieval architectural heritage in the ancient Kingdom of Seville. The research was done in the fra...
OPEN NETWORK FOR LOCAL SELF SUSTAINABILITY, BOOSTING BIOREGIONAL DEVELOPMENT THROUGH AN OPEN DATA SHARING SYSTEM
Self sustainability Spatial Data Sharing Systems geo-referenced LCA data
2018/7/11
The paper presents an online geodatabase currently under development. Its name is Open NETwork for Local Self Sustainability and the website address is www.oloss.net.The goal of this platform is to pu...
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
Deep Event Network Multimedia Event Detection
2016/1/22
In this paper, we focus on complex event detection in internet videos while also providing the key evidences of the detection results. Convolutional Neural Networks (CNNs)have achieved promising perfo...
Wavelet analysis of the LF radio signals collected by the European VLF/LF network from July 2009 to April 2011
Radio Network Wavelet precursors
2015/8/24
In 2008, a radio receiver that works in very low frequency (VLF; 20-60 kHz) and LF (150-300 kHz) bands was developed by an Italian factory. The receiver can monitor 10 frequencies distributed in these...
Noisy network coding naturally combines two parallel lines of work on network information flow — network coding over noiseless networks by Ahlswede, Cai, Li, and Yeung, and compress–forward codi...
Object Tracking in the Presence of Occlusions via a Camera Network
Tracking occlusion auxiliary particle filter camera network noisy perspective camera model
2015/8/17
Object Tracking in the Presence of Occlusions via a Camera Network.
A skywave signal is one has propagated by reflecting off the ionosphere. These signals are common in low frequency (LF) broadcast. However, in Loran, these signals are nuisances since they interfere w...
ROAD NETWORK EXTRACTION FROM SAR IMAGERY SUPPORTED BY CONTEXT INFORMATION
Mapping SAR Object Extraction
2015/6/1
This paper deals with automatic road extraction from SAR imagery. In general, automatically extracted road networks are not complete,
i.e., gaps remain in the erxtracted network. Especially in SAR im...
Semantic Service Integration & Metropolitan Medical Network
Semantic Service Integration Medical Network
2015/5/27
Patel, Nikeshbhai. M.S., Purdue University, August, 2005. Semantic Service Integration & Metropolitan Medical Network. Major Professor: Dr. Chung-Kuo Chang. Medical health partners use heterogeneous d...
a new urban road detection method in high-resolution images basedon bayesian network
High Resolution Image Road Detection Bayesian Network GIS Guidance
2009/4/11
In view of the fact that road network detection effect in high-resolution image is not satisfying, an approach for road network detection based on Bayesian Network is put forward in this paper. First,...
Real-time smoothing for network adaptive video streaming
Real-time scheduling Scalable streaming Fine granularity scalable Smoothing
2005/12/31
Real-time streaming delivery over the Internet with bandwidth variation is a very challenging
task. It is important to smooth the quality variability and improve the utilization of the
available net...
Fast Moving Region Detection Scheme in Ad Hoc Sensor Network
Detection Scheme Ad Hoc Sensor Network
2004/12/31
In this paper we present a simple yet effective temporal differencing based moving region detection scheme which can be used in limited resource condition such as in ad-hoc sensor network. Our objecti...
Neural Network Based Steganalysis in Still Images
Neural Network Based Steganalysis Still Images
2003/12/31
Seganalysis has recently attracted researchers’ interests with the development of information hiding techniques.
In this paper we propose a new method based neural network to get statistics features ...