Enhancing the Sustainability of a Location-Aware Service through Optimization

Enhancing the Sustainability of a Location-Aware Service through Optimization

A location-aware service (LAS) is an imperative topic in ambient intelligence; an LAS recommends suitable utilities to a user based on the user’s location and context. However, current LASs have several problems, and most of these services do not last. This study proposes an optimization-based approach for enhancing the sustainability of an LAS. In this paper, problems related to optimizing an ...

Business Intelligence Through Personalised Location-Aware Service Delivery

Supporting Mobile Learning with Location-aware Printing Service Supporting Mobile Learning with Location-aware Printing Service

Learning and studying are very often connected with reading printed materials. In this paper we describe some implementation issues of a common task – printing a document, when applied in a mobile environment. In a non-mobile context this task is simple and is usually taken for granted, but the introduction of a palmtop/laptop equipped with a wireless-LAN card makes the task less trivial. To fu...

A Fuzzy Parallel Processing Scheme for Enhancing the Effectiveness of a Dynamic Just-in-time Location-aware Service System

Location-aware service systems are a hot topic in diverse research fields including mobile commerce, ambient intelligence, remote sensing and ubiquitous computing. However, the timeliness and efficiency of such systems are two issues that have rarely been emphasized. For this reason, this study tries to establish a location-aware service system in which both the timeliness and efficiency of ser...

Location-Aware Quality of Service Measurements for Service-Level Agreements

We add specifications of location-aware measurements to performance models in a compositional fashion, promoting precision in performance measurement design. Using immediate actions to send control signals between measurement components we are able to obtain more accurate measurements from our stochastic models without disturbing their structure. A software tool processes both the model and the...