Social Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The stems from the view that attributes of an individual network are less important than their ties (relationships) with other individuals network. Exploring nature strength these can help understand structure dynamics social networks explain real-world phenomena, ranging organizational efficiency to spread disease.

Power consumption on mobile phones is a painful obstacle towards adoption of continuous sensing driven applications, e.g., continuously inferring individual's locomotive activities (such as 'sit', 'stand' or 'walk') using the embedded accelerometer sensor. To reduce energy overhead such activity sensing, we first investigate how choice sampling frequency & classification features affects, separately for each activity, "energy overhead" vs. "classification accuracy" tradeoff. We find that...

With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by moving objects (e.g., vehicles, people, animals) are being easily collected. Such typically modeled as streams spatio-temporal (x,y,t) points, called trajectories . In recent years trajectory management research has progressed significantly towards efficient storage and indexing techniques, well suitable knowledge discovery. These works focused on geometric aspect raw mobility data. We now...

A new smart meeting room system called EasyMeeting explores the use of multi-agent systems, Semantic Web ontologies, reasoning, and declarative policies for security privacy. Building on an earlier pervasive computing system, provides relevant services information to participants based their situational needs. The also exploits context-aware support provided by Context Broker Architecture (Cobra). Cobra's intelligent broker agent maintains a shared context model all entities in space...

The paper proposes a novel distributed service discovery protocol for pervasive environments. is based on the concepts of peer-to-peer caching advertisements and group-based intelligent forwarding requests. It does not require to be registered with registry or lookup server. Services are described using Web Ontology Language (OWL). We exploit semantic class/subClass hierarchy OWL describe groups use this information selectively forward OWL-based description also enables increased flexibility...

This paper proposes a novel distributed service discovery protocol for mobile ad hoc networks. The is based on the concept of peer-to-peer caching advertisements and group-based intelligent forwarding requests. It does not require to register registry or lookup server. Services are described using an ontology DARPA agent markup language (DAML+OIL). We exploit semantic class/subclass hierarchy DAML describe groups use this information selectively forward requests respective nodes. DAML-based...

GPS devices allow recording the movement track of moving object they are attached to. This data typically consists a stream spatio-temporal (x,y,t) points. For application purposes is transformed into finite subsequences called trajectories. Existing knowledge extraction algorithms defined for trajectories mainly assume specific context (e.g. vehicle movements) or analyze parts trajectory stops), in association with from chosen geographic sources points-of-interest, road networks). We...

With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence offer the right incentives their customers. Toward this end, existing approaches almost solely focussed individual behaviour of Call graphs, that is, graphs induced by people calling each other, can allow telecom better understand interaction customers, and potentially provide major insights for designing effective incentives.In paper, we use Detail Records a mobile...

Static directory based service discovery is unsuitable for m-commerce in ad-hoc environments. In this paper, we present Allia: a peer-to-peer caching and policy-driven agent-service framework to facilitate cross-platform environments mobile electronic commerce applications. Our approach removes the problems associated with structured compound formation of agent communities environment achieves high degree flexibility adapting itself changes environment. takes into consideration device...

This paper outlines a vision for community-driven sensing of our environment. At its core, community is dynamic new form mobile geosensor network. We believe that networks, in order to be widely deployable and sustainable, need follow utilitarian approaches towards data management. Current projects exploring have paid less attention these underlying fundamental principles. illustrate this through OpenSense -- large project aims explore driven by air pollution monitoring.

Social Network Analysis has emerged as a key paradigm in modern sociology, technology, and information sciences. The stems from the view that attributes of an individual network are less important than their ties (relationships) with other individuals network. Exploring nature strength these can help understand structure dynamics social networks explain real-world phenomena, ranging organizational efficiency to spread disease.

Accurate occupancy information in commercial buildings can enable several useful applications such as energy management and dynamic seat allocation. Most prior efforts this space depend on deploying an additional network of deeply coupled sensors to gather details. This paper presents a novel approach for detection using only context sources that are commonly available area access badges, Wi-Fi points, Calendar Instant Messaging clients. We present models conduct situation-centric profiling...

In pervasive and ubiquitous computing systems, human activity recognition has immense potential in a large number of application domains. Current techniques (i) do not handle variations sequence, concurrency interleaving complex activities; (ii) incorporate context; (iii) require amounts training data. There is lack unifying theoretical framework which exploits both domain knowledge data-driven observations to infer activities. this article, we propose, develop validate novel Context-Driven...

Recent Molecular Dynamics simulations of glass-forming liquids revealed superdiffusive fluctuations associated with the position a tracer particle (TP) driven by an external force. Such anomalous response, whose mechanism remains elusive, has been observed up to now only in systems close their glass transition, suggesting that this could be one its hallmarks. Here, we show presence superdiffusion is actual fact much more general, provided system crowded and geometrically confined. We present...

The World Wide Web (WWW) enabled quick and easy information dissemination brought about fundamental changes to various aspects of our lives. However, a very large number people, mostly in developing regions, are still untouched by this revolution. Compared PCs, the primary access mechanism WWW, mobile phones have made phenomenal penetration into population segment. Low cost ownership, simple user interface consisting small keyboard, limited menu voice-based contribute success with less...

With the ever-growing competition in telecommunications markets, operators have to increasingly rely on business intelligence offer right incentives their customers. Existing approaches for telecom almost solely focused individual behavior of In this paper, we use call detail records a mobile operator construct graphs, that is, graphs induced by people calling each other. We determine structural properties these and also introduce Treasure-Hunt model describe shape graphs. Moreover, how...

Many electricity suppliers around the world are deploying smart meters to gather fine-grained spatiotemporal consumption data and effectively manage collective demand of their consumer base. In this paper, we introduce a structured framework discriminative index that can be used segment along multiple contextual dimensions such as locations, communities, seasons, weather patterns, holidays, etc. The generated segments enable various higher-level applications usage-specific tariff structures,...

Abstract Nanoporous silicon produced by electrochemical etching of highly B-doped p-type wafers can be prepared with tubular pores imbedded in a matrix. Such materials have found many technological applications and provide useful model system for studying phase transitions under confinement. This paper reports joint experimental simulation study diffusion such materials, covering displacements from molecular dimensions up to tens micrometers carefully selected probe molecules. In addition...