An intelligent interface for supporting coaches in providing running feedback

Author(s):  
Federico Maria Cau ◽  
Mattia Samuel Mancosu ◽  
Fabrizio Mulas ◽  
Paolo Pilloni ◽  
Lucio Davide Spano
Author(s):  
Nyoman Bogi Aditya Karna ◽  
Iping Supriana ◽  
Ulfa Maulidevi

2021 ◽  
Author(s):  
Minjae Lins Chung ◽  
Vitor Bremgartner da Frota ◽  
Priscila Silva Fernandes ◽  
Luis Rivero

Considering the imbalance between economic development andthe environment, there is a concern with the preservation of theplanet’s natural resources and the use of renewable and sustainableenergies. In this context, new systems have emerged to assist in themanagement of photovoltaic energy. This paper presents a proposalfor an intelligent interface for a Web system to monitor, report andconsult on the production of energy and health of photovoltaic panels.To raise the requirements and propose the system’s graphicalinterface, the following techniques were used: (a) benchmarking, inwhich the functionalities of the largest competitors in the marketwere compared; and (b) document analysis, where comments oncompeting systems on their social networks were analyzed. Theprototype presented allows to observe the production of energy indifferent periods, besides allowing to check the health of a panel,as well as its individual performance.


Author(s):  
Aarti Singh ◽  
Anu Sharma

This chapter explores the synergy between Semantic Web (SW) technologies and Web Personalization (WP) for demonstrating an intelligent interface for Personalized Information Retrieval (PIR) on web. Benefits of adding semantics to WP through ontologies and Software Agents (SA) has already been realized. These approaches are expected to prove useful in handling the information overload problem encountered in web search. A brief introduction to PIR process is given, followed by description of SW, ontologies and SA. A comprehensive review of existing web technologies for PIR has been presented. Although, a huge contribution by various researchers has been seen and analyzed but still there exist some gap areas where the benefits of these technologies are still to be realized in future personalized web search.


Author(s):  
P. Guidotti ◽  
L. Lucchesi ◽  
P. Mariani ◽  
M. Ragona ◽  
D. Tiscornia

Sign in / Sign up

Export Citation Format

Share Document