University’s Information Image as a Result of University Web Communities’ Activities

2016 ◽  
pp. 115-127 ◽  
Author(s):  
Roman Korzh ◽  
Andriy Peleshchyshyn ◽  
Yuriy Syerov ◽  
Solomia Fedushko
Keyword(s):  
Web Communities ◽  
Information Image

The DBin Platform: A Complete Environment for Semantic Web Communities

2008 ◽  
Author(s):  
Giovanni Tummarello ◽  
Christian Morbidoni
Keyword(s):  
Semantic Web ◽  
Web Communities

scholarly journals “Go eat a bat, Chang!”: On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19

2021 ◽  
Author(s):  
Fatemeh Tahmasbi ◽  
Leonard Schild ◽  
Chen Ling ◽  
Jeremy Blackburn ◽  
Gianluca Stringhini ◽  
...  
Keyword(s):  
The Face ◽  
Web Communities

Land conversion regulates the effects of long-term climate warming on soil micro-food web communities

2021 ◽  
Vol 314 ◽  
pp. 107426
Author(s):  
Pingting Guan ◽  
Mohammad Mahamood ◽  
Yurong Yang ◽  
Donghui Wu
Keyword(s):  
Food Web ◽  
Climate Warming ◽  
Land Conversion ◽  
Web Communities

Geography and Web Communities

2017 ◽  
pp. 1-3
Author(s):  
James Caverlee ◽  
Zhiyuan Cheng
Keyword(s):  
Web Communities

scholarly journals VIRTUAL TOUR ENVIRONMENT OF CUBA’S NATIONAL SCHOOL OF ART

2017 ◽  
Vol XLII-2/W5 ◽  
pp. 547-551 ◽  
Author(s):  
R. K. Napolitano ◽  
I. P. Douglas ◽  
M. E. Garlock ◽  
B. Glisic
Keyword(s):  
The Political ◽  
Political Climate ◽  
Virtual Tour ◽  
Heritage Sites ◽  
National School ◽  
Imaging Camera ◽  
Pertinent Information ◽  
Information Image ◽  
A Site ◽  
Art Schools

Innovative technologies have enabled new opportunities for collecting, analyzing, and sharing information about cultural heritage sites. Through a combination of two of these technologies, spherical imaging and virtual tour environment, we preliminarily documented one of Cuba’s National Schools of Art, the National Ballet School.The Ballet School is one of the five National Art Schools built in Havana, Cuba after the revolution. Due to changes in the political climate, construction was halted on the schools before completion. The Ballet School in particular was partially completed but never used for the intended purpose. Over the years, the surrounding vegetation and environment have started to overtake the buildings; damages such as missing bricks, corroded rebar, and broken tie bars can be seen. We created a virtual tour through the Ballet School which highlights key satellite classrooms and the main domed performance spaces. Scenes of the virtual tour were captured utilizing the Ricoh Theta S spherical imaging camera and processed with Kolor Panotour virtual environment software. Different forms of data can be included in this environment in order to provide a user with pertinent information. Image galleries, hyperlinks to websites, videos, PDFs, and links to databases can be embedded within the scene and interacted with by a user. By including this information within the virtual tour, a user can better understand how the site was constructed as well as the existing types of damage. The results of this work are recommendations for how a site can be preliminarily documented and information can be initially organized and shared.

scholarly journals Adaptation of the Diagnostic Artificial Neural Network Structure When New Training Examples Appear

2020 ◽  
Vol 6 (4) ◽  
pp. 120-126
Author(s):  
A. Malikov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Information Security ◽  
Classification Problem ◽  
Data Set ◽  
Neural Network Structure ◽  
Artificial Neural ◽  
Training Examples ◽  
Information Image

In this paper we can see that identified computer incidents are subject for diagnostics, during which the characteristics of information security violations are clarified (purpose, causes, consequences, etc.). To diagnose computer incidents, we can use methods of automation while collection and processing the events that occur as a result of the implementation of scenarios for information security violations. Artificial neural networks can be used to solve the classification problem of assigning diagnostic data set (information image of a computer incident) to one of the possible values of the violation characteristic. The purpose of this work is to adapt the structure of an artificial neural network that allows the accuracy diagnostics of computer incidents when new training examples appear.

scholarly journals INFORMATION IMAGE MODEL

2016 ◽  
pp. 32-37
Author(s):  
Evgeniy V. Yurkevich
Keyword(s):  
Image Model ◽  
Information Image

scholarly journals DESIGN AND CONSTRUCTION OF MASSIVE DIGITAL ORTHOPHOTO MAP DATABASE IN CHINA

2016 ◽  
Vol XLI-B4 ◽  
pp. 103-106
Author(s):  
Mei Yang ◽  
Jianjun Liu ◽  
Yuanjie Zhang ◽  
Xuemei Li
Keyword(s):  
Spatial Data ◽  
Image Data ◽  
Remotely Sensed ◽  
Storage Management ◽  
Data Infrastructure ◽  
Exponential Order ◽  
Remotely Sensed Images ◽  
Digital Orthophoto ◽  
Information Image ◽  
Th 1

Digital orthophoto maps have great advantages of high precision, plentiful information, fine intuition and visualization and convenient acquisition, as one of the most important part of national spatial data infrastructure (NSDI), and a type of required data resources in geo-spatial industry.Within last few years, large volume of high-resolution remotely sensed images have become available, obtained by various remotely sensed platforms. The acquired remotely sensed images continuously increasing by exponential order have brought a series of problems about storage, management, distribution and applications of massive image data. The objectives of the following research is to investigate how to design and construct national digital orthophoto map database which is mainly constituted by domestic remotely sensed images. In this paper, according to technical characteristics of national fundamental geo-information image database, we analyzed and then put forward the demands and functions of multi-source and massive database of digital orthophoto maps, and constructed an example of DOM database primarily on the basis of domestic remoted images such as ZY-3 and TH-1.

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