Showing papers in "Pervasive and Mobile Computing in 2010"

TL;DR: The requirements that context modelling and reasoning techniques should meet are discussed, including the modelling of a variety ofcontext information types and their relationships, of situations as abstractions of context information facts, of histories of contextInformation, and of uncertainty of context Information.

TL;DR: This paper provides an analysis of human mobility data in an urban area using the amount of available bikes in the stations of the community bicycle program Bicing in Barcelona to detect temporal and geographic mobility patterns within the city.

TL;DR: The proposed incentive mechanism focuses on minimizing and stabilizing the incentive cost while maintaining adequate level of participants by preventing users from dropping out of participatory sensing applications and improves the fairness of incentive distribution and social welfare.

TL;DR: This paper develops a KeyExtract algorithm for activity recognition and two algorithms, MaxGap and MaxGain, for activity segmentation with linear time complexities and results indicate that the proposed algorithms achieve high accuracy in the presence of different noise levels indicating their good potential in real-world deployment.

TL;DR: An approach to predict both the intended destination and the future route of a person by exploiting personal movement data collected by GPS, and implemented a prototype running on mobile phones, which can extract patterns from a user's historical movement data and predict the destination and future route.

TL;DR: A Model Driven Development method is introduced for developing context-aware pervasive systems at a high level of abstraction by means of a set of models, which describes both the system functionality and the context information.

TL;DR: This paper provides a complete framework, Mobility Profiler, for discovering mobile cell phone user profiles starting from cell based location data, and presents formal definitions to capture the cell phone users' mobility patterns and profiles.

TL;DR: This work ran a large number of automated tests using Google Android G1, Magic, Hero and Nexus handsets and present results for the average energy consumption of connection and data transmission over 802.11 wireless networks.

TL;DR: Experimental results in a real-world setting suggest that the proposed solution is a promising approach to provide user context to local mobile applications as well as to network-level applications such as social networking services.

TL;DR: The bubble-sensing system is described, a new sensor network abstraction that allows mobile phone users to create a binding between sensing tasks and the physical world at locations of interest, that remains active for a duration set by the user.

TL;DR: This study investigates how much advantage can be achieved by using sophisticated and complex classification methods compared with a simple method that can easily be implemented in mobile devices and reports superior performance for the Minimum-distance classifier from the view point of computational load and power consumption of a smart phone.

TL;DR: This paper proposes a model-driven approach that facilitates the creation of a context modelling framework and simplifies the design and implementation of pervasive services.

TL;DR: Until the field of pervasive computing can attain Weiser's vision, the very users of ubiquitous computing need infrastructure to be visible, and the implications for a design to support nomadic work are discussed.

TL;DR: This paper discusses and experimentally evaluates instance-based algorithms to infer user activities on the basis of data acquired from body-worn accelerometer sensors that can classify simple and specific activities with high accuracy.

TL;DR: This paper proposes a resource optimized quality assured context mediation framework based on efficient context-aware data fusion and semantic-based context delivery that demonstrates the promise of this approach.

TL;DR: This paper presents Scavenger-a cyber foraging system supporting easy development of mobile cyber foraged applications, while still delivering efficient, mobile use of remote computing resources through the use of a custom built mobile code execution environment and a new adaptive, dual-profiling scheduler.

TL;DR: This paper explores the fundamental characteristics of RFID applications, and classify applications into a set of basic scenarios based on these characteristics, and develops constructs for modeling each scenario which can be integrated to model most complexRFID applications in the real world.

TL;DR: A comparison of FM versus Wi-Fi positioning systems and a combination of both systems, exploiting their strengths for indoors positioning is presented and the problem of recalibration is addressed by introducing a novel concept of spontaneous recalIBration.

TL;DR: Preliminary results suggest that an agent incorporating valence-based emotional data into its input array can model user behaviour in a more accurate way than agents using no emotion-based data or raw data based on physiological changes.

TL;DR: This paper proposes an incremental approach to building context-aware pervasive systems, with a particular emphasis on systematically extending over time the contexts and situations a system can be aware of, and creating a formalism in which these systems can be composed.

TL;DR: This paper uses semi-Markov models (SMM), a formalism for labeling and segmenting sequential data, trained in a max-margin setting, to perform a precise segmentation and labeling of swimming sessions and introduces a grammar into the SMM framework.

TL;DR: This work studies how in-car navigation technology changed the practice of a massive community of its early adopters, the taxi drivers of Barcelona (Spain), and their exploitation of pervasive geoinformation to inform the design of next-generation location-based services.

TL;DR: This paper proposes a method for the prediction in time of the next occurrence of an event of interest, such as 'arriving at a certain location' or 'meeting with another person', with a focus on the prediction of network visibility events as observed through the wireless network interfaces of the device.

TL;DR: This work proposes an interpolation-based fingerprinting technique utilizing user feedback which does not require an exhaustive training phase typically seen in the indoor localization solutions and shows that user feedback-based positioning system adapts quite well when surroundings change.

TL;DR: Data analysis provides both qualitative and quantitative evidence which suggest strongly that such a system can provide support for availability, coordination, reassurance and affection for this group of busy couples.

TL;DR: A wearable pedestrian indoor localization system with dynamic position correction that uniquely combines dead reckoning and fiducial marker-based localization schemes, exclusively using widely available, low end and low power consumer hardware components is introduced.

TL;DR: An approach to combine the power of BDI practical reasoning and OWL/SWRL theoretical reasoning in order to improve the intelligence of pervasive middleware is presented, supported by a set of Self-Management Pervasive Service (SeMaPS) ontologies featuring dynamic context, complex context, and self-management rules modeling.

TL;DR: This paper presents SARA, a unified, overlay-based service architecture to support large-scale service and application deployment in pervasive and ubiquitous environments and discusses the main functionalities and presents the algorithms for object registration and discovery.

TL;DR: Situvis is presented, an interactive visualisation tool for representing sensor data and creating higher-level abstractions from the data that can be used to complete the key tasks in the development process of situation specifications in over 50% less time than an improvised alternative toolset.

TL;DR: This article addresses the use of spatial relations between technology-rich artifacts as well as their changes over time and focuses on qualitatively represented spatial relations, which are used as the basic building blocks for the development of spatially aware applications.