scholarly journals Cognitive Based Authentication Protocol for Distributed Data and Web Technologies

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7265
Author(s):  
Natalia Krzyworzeka ◽  
Lidia Ogiela ◽  
Marek R. Ogiela
Keyword(s):  
Personal Experience ◽  
Authentication Protocol ◽  
Distributed Data ◽  
Google Street View ◽  
Web Technologies ◽  
Street View ◽  
Business User ◽  
Verification Process ◽  
Personal Accounts ◽  
Verification Model

The objective of the verification process, besides guaranteeing security, is also to be effective and robust. This means that the login should take as little time as possible, and each time allow for a successful authentication of the authorised account. In recent years, however, online users have been experiencing more and more issues with recalling their own passwords on the spot. According to research done in 2017 by LastPass on its employees, the number of personal accounts assigned to one business user currently exceeds 191 profiles and keeps growing. Remembering these many passwords, especially to applications which are not used every week, seems to be impossible without storing them either on paper, in a password manager, or saved in a file somewhere on a PC. In this article a new verification model using a Google Street View image as well as the user’s personal experience and knowledge will be presented. The purpose of this scheme is to assure secure verification by creating longer passwords as well as delivering a ‘password reminder’ already embedded into the login scheme.

scholarly journals Domain Adaptation Deep Attention Network for Automatic Logo Detection and Recognition in Google Street View

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ervin Yohannes ◽  
Chih-Yang Lin ◽  
Timothy K. Shih ◽  
Chen-Ya Hong ◽  
Avirmed Enkhbat ◽  
...  
Keyword(s):  
Domain Adaptation ◽  
Attention Network ◽  
Google Street View ◽  
Street View ◽  
Detection And Recognition

Adaptation and testing of a microscale audit tool to assess liveability using google street view: MAPS-liveability

2021 ◽  
Vol 22 ◽  
pp. 101226
Author(s):  
Claire L. Cleland ◽  
Sara Ferguson ◽  
Frank Kee ◽  
Paul Kelly ◽  
Andrew James Williams ◽  
...  
Keyword(s):  
Audit Tool ◽  
Google Street View ◽  
Street View

scholarly journals STATISTICAL ANALYSIS VIA GOOGLE STREET VIEW OF SHOP FACADE DESIGN

2012 ◽  
Vol 18 (39) ◽  
pp. 693-698
Author(s):  
Eisuke TABATA ◽  
Kazemitsu FUKAMATSU ◽  
Kazuhisa TSUNEKAWA ◽  
Gen TANIGUCHI
Keyword(s):  
Statistical Analysis ◽  
Google Street View ◽  
Street View

Something that Disturbs: Encounters between Animals and Optical Machines

2020 ◽  
Vol 11 (2020) ◽  
Author(s):  
Pauline Chasseray-Peraldi
Keyword(s):  
Digital Images ◽  
Google Street View ◽  
Media Technologies ◽  
Street View ◽  
Semiotic Approach ◽  
The Web

Images of encounters between animals and drones or Google Street View cars are quite viral on the web. This article focuses on the different regimes of animacy and conflicts of affects in these images using an anthropo- semiotic approach. It investigates how other- ness reveals something that exceeds us, from the materiality of the machine to systems of values. It suggests that the disturbance of ani- mal presence in contemporary digital images helps us to read media technologies.

scholarly journals Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression

2018 ◽  
Vol 52 (21) ◽  
pp. 12563-12572 ◽  
Author(s):  
Kyle P. Messier ◽  
Sarah E. Chambliss ◽  
Shahzad Gani ◽  
Ramon Alvarez ◽  
Michael Brauer ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Mobile Monitoring ◽  
Land Use Regression ◽  
Google Street View ◽  
Street View

scholarly journals Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Chris Clews ◽  
Roza Brajkovich-Payne ◽  
Emily Dwight ◽  
Ayob Ahmad Fauzul ◽  
Madeleine Burton ◽  
...  
Keyword(s):  
Google Street View ◽  
Street View

scholarly journals Application of Method for Calculating Sky View Factor Using Google Street View: Relation Between Sky View Factor and Physical Elements in Urban Space

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Shoko Nishio ◽  
Fumiko Ito
Keyword(s):  
Urban Space ◽  
Computation Method ◽  
View Factor ◽  
Statistical Process ◽  
Google Street View ◽  
Sky View Factor ◽  
Street View ◽  
The Difference ◽  
Physical Elements

<p><strong>Abstract.</strong> We applied a computation method of calculating the sky view factor (SVF) using Google Street View to Shibuya area, Tokyo, for the purpose of examining the relation between the SVF/SVF change and physical elements. The distribution of the SVF calculated by the above method was visualized, and the statistical process showed the tendency of a high SVF in quasi-residential districts and roadsides of high-graded trunk roads. The difference in the SVF change was small at 10-m intervals. The SVF change tended to be more apparent near an intersection and at different elevations.</p>

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