Wyniki wyszukiwania - Biblioteka Nauki

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Ograniczanie wyników

2 Annals of Computer Science and Information Systems

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: mobile computing

Sortuj według:

Ogranicz wyniki do:

Exploring determinants of m-Government services: a study from the citizens’ perspective in Saudi Arabia

100%

Alonazi M. , Beloff N. , White M.

2019

tom Vol. 18

627--631

The government of Saudi Arabia has adopted M-Government for the effective delivery of services. One advantage that it offers is unique opportunities for real-time and personalized access to government information and services. However, a low adoption rate of m-Government services by citizens is a common problem in Arab countries, including Saudi Arabia, despite the best efforts of the Saudi government. Therefore, this paper explores the determinants of citizens' intention to adopt and use m-Government services, in order to increase the adoption rate. This study was based on the Mobile Government Adoption and Utilization Model (MGAUM) that was developed for the purpose. Data was collected, and the final sample consisted of 1,286 valid responses. The descriptive analysis presented in this paper indicates that all the proposed factors in our MGAUM model were statistically significant in influencing citizens' intention to adopt and use m-Government services.

Integrated Human Tracking Based on Video and Smartphone Signal Processing within the Arahub System

67%

Ludziejewski J. , Grad Ł. , Przebinda Ł. , Tajmajer T.

tom Vol. 21

105--114

Embedded platforms with GPU acceleration, designed for performing machine learning on the edge, enabled the creation of inexpensive and pervasive computer vision systems. Smartphones are nowadays widely used for profiling and tracking in marketing, based on WiFi data or beacon-based positioning systems. We present the Arahub system, which aims at integrating world of computer vision systems with smartphone tracking for delivering data useful in interactive applications, such as interactive advertisements. In this paper we present the architecture of the Arahub system and provide insight about its particular elements. Our preliminary results, obtained from real-life test environments and scenarios, show that the Arahub system is able to accurately assign smartphones to their owners, based on visual and WiFi/Bluetooth positioning data. We show the commercial value of such system and its potential applications.