Context awareness

About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.

Context-Aware Staged Configuration of Process Variants@Runtime

Abstract: Process-based context-aware applications are increasingly becoming more complex and dynamic. Besides the large sets of process variants to be managed in such dynamic systems, process variants need to be context sensitive in order to accommodate new user requirements and intrinsic complexity. This paradigm shift forces us to defer decisions to runtime where process variants must be customized and executed based on a recognized context. However, there exists a lack of deferral of the entire process variant configuration and execution to perform an automated decision of subsequent variation points at runtime. In this paper, we present a holistic methodology to automatically resolve process variability at runtime. The proposed solution performs a staged configuration considering static and dynamic context data to accomplish effective decision making. We demonstrate our approach by exemplifying a storage operation process in a smart logistics scenario. Our evaluation demonstrates the performance and scalability results of our methodology.

A Calculus for Context-Awareness

Abstract: In order to answer the challenge of pervasive computing, we propose a new process calculus, whose aim is to describe dynamic systems composed of agents able to move and react differently depending on their location. This Context-Aware Calculus features a hierarchical structure similar to mobile ambients, and a generic multi-agent synchronization mechanism, inspired from the join-calculus. After general ideas and introduction, we review the full calculus' syntax and semantics, as well as some motivating examples, study its expressiveness, and show how the notion of computation itself can be made context-dependent.

Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service

Abstract: Although temporal context may significantly affect the popularity of items and user preference over items, traditional information filtering techniques such as recommender systems have not sufficiently considered temporal factors. Modeling temporal dynamics in user behavior is not trivial, and it is challenging to study its effect in order to provide better recommendation results to users. To incorporate temporal effects into information filtering systems, we analyze a large sized real-world usage log data gathered from Bugs Music, which is one of the well-known online music service in Korea, and study temporal dynamics in users' music listening behaviors considering periodicity of time dimension and popularity change. We insist that the result of our analysis can be a useful guideline to the industry which delivers music items to users and tries to consider temporal context in their recommendations.

Implementation of Ubiquitous Learning System Using Sensor Technologies

Abstract: Electronic learning(e-learning) is used to access the learning content using desktop computers. But the limitation with e-learning is its immobility. Mobile learning(mlearning) is an advanced stage of e-learning where in the learner is equipped with handheld mobile device to access the learning content using various wireless technologies. Though m-learning provides mobility, it is not context sensitive. A new mode of learning mechanism called ubiquitous learning(u-learning) is context aware and also provides learning content anywhere, anytime using various mobile devices and sensor technologies. The real challenge in u-learning is the delivery of learning content to mobile devices depending upon surrounding context. Context plays an important role in delivering the right content to the right person, in the right place and at the right time. Though there are various contextual parameters that can be considered, here we deal with location context in particular. In this paper, various mobile computing technologies, context awareness and its relevance to u-learning are discussed. Also, the usage of RFID for u-learning is explained by implementing two different models 1. RFID based Content Presentation and 2. Location Based Services(LBS) using RFID. A pilot experiment was conducted with students to evaluate the functionality of the proposed models and results are analysed for further improvements.

Ncash: nfc phone-enabled personalized context awareness smart-home environment

Abstract: Near Field Communication (NFC) is a two-way communication technology based on radio frequency identification (RFID), which in recent years has become one of the most popular devices in a great variety of applications. The NFC-equipped phone (NFC phone) that embeds NFC technology into a cellular phone makes it increasing attractive for business uses, such as for making payments or ticketing. This paper presents a novel architecture for NFC phone-driven, personalized, context-aware smart spaces. With this architecture, users can employ the phone, which carries predefined personal desires, to control devices, such as home appliances. The appliances are automatically controlled and driven in response to a request sent from the phone by using predefined ontology and rule-based reasoning. We also implement a prototype to demonstrate the feasibility of the architecture, evaluate its performance, and show its efficiency.