User-Space Network Tunneling Under a Mobile Platform: A Case Study for Android Environments

Author(s):  
Dario Bruneo ◽  
Salvatore Distefano ◽  
Kostya Esmukov ◽  
Francesco Longo ◽  
Giovanni Merlino ◽  
...  
Author(s):  
Paul Emmerich ◽  
Maximilian Pudelko ◽  
Simon Bauer ◽  
Stefan Huber ◽  
Thomas Zwickl ◽  
...  
Keyword(s):  

Author(s):  
Paul Emmerich ◽  
Maximilian Pudelko ◽  
Simon Bauer ◽  
Georg Carle
Keyword(s):  

2016 ◽  
Vol 22 (3) ◽  
pp. 676-690 ◽  
Author(s):  
Arturo Henry Torres Zenteno ◽  
Francisco Fernández ◽  
Alfredo Palomino-García ◽  
Francisco Moniche ◽  
Irene Escudero ◽  
...  
Keyword(s):  

2011 ◽  
Vol 368-373 ◽  
pp. 3280-3283
Author(s):  
Xiao Long Li ◽  
Wu Kui Zheng ◽  
Peng Wei ◽  
Yang Li

This paper mainly discussed the relation between human behave and space configuration, in order to analysis and optimize the space of urban commercial pedestrian street. In this paper, Xi'an Shu-Yuan-Men commercial pedestrian space has been chosen as a case study. Firstly, a model has been built by using space syntax on the basis of the space network, and an analysis and optimization has been offered from the technical level. Secondly, combined with space network, by recording and analysis of the human behavior, a feedback has been offered to the model according to the actual needs. At last, a final comprehensive optimization plan has been carried out. The purpose of this plan is trying to improve the shopping and leisure environment of the mall and comprehensive Land use efficiency.


2014 ◽  
Vol 6 (3) ◽  
pp. 52-68 ◽  
Author(s):  
Giordano Lanzola ◽  
Germana Ginardi ◽  
Paola Russo ◽  
Silvana Quaglini

Gquest is a mobile platform for administering interviewing and learning material. It relies on a model that supports adaptivity in the dialog with its users and enforces consistency rules to constrain their input. Gquest downloads its modules over the air making them available to the users, then a synchronization engine collects any input provided and sends it to a server for evaluation purposes. Thus, Gquest supports learning about user behaviors or preferences by administering interviewing material and collecting answers. However, by reversing the conversation paradigm it also supports the delivery of learning material. In this paper we illustrate a case study in which both paradigms have been exploited. First we implemented a guide for training patients on a rare disease called amyloidois, and second we integrated a plain questionnaire at the end of that guide to assess the quality of learning perceived by the user.


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