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Journal articles on the topic 'Context-aware pervasive computing'

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Published: 4 June 2021

Last updated: 25 May 2024

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Abowd, G. D., M. R. Ebling, H. W. Gellersen, G. Hunt, and Hui Lei. "Context-aware pervasive computing [Guest Editorial]." IEEE Wireless Communications 9, no. 5 (2002): 8–9. http://dx.doi.org/10.1109/mwc.2002.1043848.

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Mcheick, Hamid. "Modeling Context Aware Features for Pervasive Computing." Procedia Computer Science 37 (2014): 135–42. http://dx.doi.org/10.1016/j.procs.2014.08.022.

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CHEN, HARRY, TIM FININ, and ANUPAM JOSHI. "An ontology for context-aware pervasive computing environments." Knowledge Engineering Review 18, no. 3 (2003): 197–207. http://dx.doi.org/10.1017/s0269888904000025.

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This document describes COBRA-ONT, an ontology for supporting pervasive context-aware systems. COBRA-ONT, expressed in the Web Ontology Language OWL, is a collection of ontologies for describing places, agents and events and their associated properties in an intelligent meeting-room domain. This ontology is developed as a part of the Context Broker Architecture (CoBrA), a broker-centric agent architecture that provides knowledge sharing, context reasoning and privacy protection supports for pervasive context-aware systems. We also describe an inference engine for reasoning with information expressed using the COBRA-ONT ontology and the ongoing research in using the DAML-Time ontology for context reasoning.

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Chen, Guanling, Ming Li, and David Kotz. "Data-centric middleware for context-aware pervasive computing." Pervasive and Mobile Computing 4, no. 2 (2008): 216–53. http://dx.doi.org/10.1016/j.pmcj.2007.10.001.

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Black, Darren, Nils Jakob Clemmensen, and Mikael B. Skov. "Pervasive Computing in the Supermarket." International Journal of Mobile Human Computer Interaction 2, no. 3 (2010): 31–43. http://dx.doi.org/10.4018/jmhci.2010070103.

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Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.

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Abdulrazak, Bessam, Patrice Roy, Charles Gouin-Vallerand, Yacine Belala, and Sylvain Giroux. "Micro Context-Awareness for Autonomic Pervasive Computing." International Journal of Business Data Communications and Networking 7, no. 2 (2011): 48–68. http://dx.doi.org/10.4018/jbdcn.2011040104.

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Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.

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Syukur, Evi, and Seng Wai Loke. "Implementing context-aware regulation of context-aware mobile services in pervasive computing environments." International Journal of Web and Grid Services 2, no. 3 (2006): 260. http://dx.doi.org/10.1504/ijwgs.2006.011357.

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El Khaddar, Mehdia Ajana, Mhammed Chraibi, Hamid Harroud, Mohammed Boulmalf, Mohammed Elkoutbi, and Abdelilah Maach. "A policy-based middleware for context-aware pervasive computing." International Journal of Pervasive Computing and Communications 11, no. 1 (2015): 43–68. http://dx.doi.org/10.1108/ijpcc-07-2014-0039.

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Purpose – This paper aims to demonstrate that a policy-based middleware solution which facilitates the development of context-aware applications and the integration of the heterogeneous devices should be provided for ubiquitous computing environments. Ubiquitous computing targets the provision of seamless services and applications by providing an environment that involves a variety of devices having different capabilities. These applications help transforming the physical spaces into computationally active and smart environments. The design of applications in these environments needs to consider the heterogeneous devices, applications preferences and rapidly changing contexts. The applications, therefore, need to be context-aware so that they can adapt to different situations in real-time. Design/methodology/approach – In this paper, we argue that a policy-based middleware solution that facilitates the development of context-aware applications and the integration of the heterogeneous devices should be provided for ubiquitous computing environments. The middleware allows applications to track items and acquire contextual information about them easily, reason about this information captured using different logics and then adapt to changing contexts. A key issue in these environments is to allow heterogeneous applications to express their business rules once, and get the preferred data once they are captured by the middleware without any intervention from the application side. Findings – Our middleware tackles this problem by using policies to define the different applications’ rules and preferences. These policies can specify rules about the middleware services to be used, type of data captured, devices used, user roles, context information and any other type of conditions. Originality/value – In this paper, we propose the design of a flexible and performant ubiquitous computing, and context-aware middleware called FlexRFID along with its evaluation results.

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Henricksen, Karen, and Jadwiga Indulska. "Developing context-aware pervasive computing applications: Models and approach." Pervasive and Mobile Computing 2, no. 1 (2006): 37–64. http://dx.doi.org/10.1016/j.pmcj.2005.07.003.

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Gollagi, S. G., M. M. Math, and A. A. Daptardar. "A survey on pervasive computing over context-aware system." CCF Transactions on Pervasive Computing and Interaction 2, no. 2 (2020): 79–85. http://dx.doi.org/10.1007/s42486-020-00030-6.

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Zhang, Jing, Li Wei Zhang, and Guang Yu Wang. "Research on Context-Ware Technology in Ubiquitous Learning." Applied Mechanics and Materials 670-671 (October 2014): 1659–62. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1659.

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Ubiquitous learning in pervasive computing is the future way of learning environment. This paper briefly introduces the pervasive learning and its characteristics, through the analysis of a typical ubiquitous learning system, on how to implement context aware technology research, and proposed a general pervasive learning context aware model.

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Jiang, Dai You. "Pervasive Computing Architecture, Key Technologies and Issues Facing." Applied Mechanics and Materials 135-136 (October 2011): 684–87. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.684.

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This paper introduces the concept of pervasive computing, architecture, outlines the key technology of pervasive computing, including: middleware, context-aware technology, database technology, user interface technology, embedded systems technology and adaptive Technology, points out the major issues facing pervasive computing.

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Chien, Been-Chian, and Shiang-Yi He. "A Generic Context Interpreter for Pervasive Context-Aware Systems." International Journal of Handheld Computing Research 2, no. 2 (2011): 65–77. http://dx.doi.org/10.4018/jhcr.2011040105.

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Developing pervasive context-aware systems to construct smart space applications has attracted much attention from researchers in recent decade. Although many different kinds of context-aware computing paradigms were built of late years, it is still a challenge for researchers to extend an existing system to different application domains and interoperate with other service systems due to heterogeneity among systems This paper proposes a generic context interpreter to overcome the dependency between context and hardware devices. The proposed generic context interpreter contains two modules: the context interpreter generator and the generic interpreter. The context interpreter generator imports sensor data from sensor devices as an XML schema and produces interpretation scripts instead of interpretation widgets. The generic interpreter generates the semantic context for context-aware applications. A context editor is also designed by employing schema matching algorithms for supporting context mapping between devices and context model.

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Miraoui, Moeiz, Chakib Tadj, Jaouhar Fattahi, and Chokri Ben Amar. "Dynamic Context-Aware and Limited Resources-Aware Service Adaptation for Pervasive Computing." Advances in Software Engineering 2011 (February 2, 2011): 1–11. http://dx.doi.org/10.1155/2011/649563.

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A pervasive computing system (PCS) requires that devices be context aware in order to provide proactively adapted services according to the current context. Because of the highly dynamic environment of a PCS, the service adaptation task must be performed during device operation. Most of the proposed approaches do not deal with the problem in depth, because they are either not really context aware or the problem itself is not thought to be dynamic. Devices in a PCS are generally hand-held, that is, they have limited resources, and so, in the effort to make them more reliable, the service adaptation must take into account this constraint. In this paper, we propose a dynamic service adaptation approach for a device operating in a PCS that is both context aware and limited resources aware. The approach is then modeled using colored Petri Nets and simulated using the CPN Tools, an important step toward its validation.

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Khalfi, Mohammed Fethi, and Sidi Mohamed Benslimane. "Meta Model Context Based Space for Ubiquitous Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 2 (2015): 51–66. http://dx.doi.org/10.4018/ijapuc.2015040105.

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Pervasive computing is a paradigm that focuses on the availability of computer resources anytime anywhere for any application and supports integration of computing services into everyday life. Context awareness is the core feature of pervasive computing. High-level context awareness can be enhanced by situation awareness that represents the ability to detect and reason about the real-life situations. In this paper, in order to deal with the problem in context-aware modeling in pervasive computing environments, the authors present a comprehensive and integrated approach for context modeling. They first propose a Meta model context based on ontology for Pervasive Computing aiming firstly to overcome the limitations of the existing ontologies, and secondly extend its capabilities by adding new environmental aspects. They divide the context model into Meta Ontology level and Domain-specific Ontology level according to the abstraction hierarchy. The Meta Ontology is the high abstract level which extracting the basic elements of the context knowledge. The Domain-specific Ontology is the lower abstract lever which focusing on different domains knowledge, directed by the Meta Ontology. The advantage is that it can provide a flexible modeling mechanism for multiple applications of context-aware pervasive computing. A case study of HealthCare domain is given to illustrate the practicality of the authors' Model.

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Xu, Dong, Gang Zhu, and De Zhen Xu. "Towards Checking Bigraphical Context-Aware Models." Applied Mechanics and Materials 411-414 (September 2013): 545–48. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.545.

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Context-aware computing is an important aspect of Pervasive Computing, Cyber-physical Systems (CPS), Cloud computing, etc. Recently, few works have been reported on formal approaches for this area. Bigraph was proposed as a mathematical structure that is consist of two graphs, a place graph and a link graph, intended for modeling distributed, mobile systems, etc. Bigraphs and its corresponding Bigraphical Reactive Systems (BRSs) present a modern, graphical structure, algebra calculus for the description of the syntax and semantics of systems in accordance with the orthogonal notions of connectivity and locality. Bigraphs and BRSs have been applied in various areas. Bigraph is used to formalize context-aware models in this paper. Then, we present an approach to check the formal context-aware models. The formalisms and checking are explicitly depicted through a simple but non-trivial example.

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Udayan J, Divya. "ARCHITECTURAL ANALYSIS OF CONTEXT-AWARE SYSTEMS IN PERVASIVE COMPUTING ENVIRONMENT." Journal of the HCI Society of Korea 8, no. 1 (2013): 11. http://dx.doi.org/10.17210/jhsk.2013.05.8.1.11.

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Madhusudanan, J., S. Geetha, V. Prasanna Venkatesan, U. Vignesh, and P. Iyappan. "Hybrid Aspect of Context-Aware Middleware for Pervasive Smart Environment: A Review." Mobile Information Systems 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/6546501.

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Pervasive computing has made almost every device we see today to be communicated and function in collaboration with one another. Since the portable devices have become a part of our everyday life, people are more involved in a pervasive computing environment. They engage with many computational devices simultaneously without knowing the availability of their existence. The current world is being filled with more and more smart environments. These smart environments make them to be attracted towards the new technological emergence in the field of pervasive computing. Various researches are being carried out to improve the smart environment and their applications. Middleware plays a vital role in building the pervasive applications. The pervasive devices act based on the context of the situation, that is, they do their actions according to the environment of the application. They react to the situations smartly as they can take their own decisions based on the context developed for that specific application. Most of the pervasive applications were using its own middleware that is specific towards their need. As today, most of the applications are using their own middleware with their specific requirement, which leads us to unearth out their common features and their scope of using it. In this paper, a survey on the various hybrid aspects of the different context-aware middleware has been done. This middleware is classified based on service, context, and device aspects. Merits and demerits are identified from the existing smart environments, and future perspective of their development such as generic context-aware middleware need has been discussed.

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LOKE, SENG W. "Representing and reasoning with situations for context-aware pervasive computing: a logic programming perspective." Knowledge Engineering Review 19, no. 3 (2004): 213–33. http://dx.doi.org/10.1017/s0269888905000263.

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Context-aware pervasive systems are emerging as an important class of applications. Such systems can respond intelligently to contextual information about the physical world acquired via sensors and information about the computational environment. A declarative approach to building context-aware pervasive systems is presented, and the notion of the situation program is introduced, which highlights the primacy of the situation abstraction for building context-aware pervasive systems. There is also a demonstration of how to manipulate situation programs using meta-programming within an extension of the Prolog logic programming language which is called LogicCAP. Such meta-reasoning enables complex situations to be described in terms of other situations. Furthermore, a discussion is given on how the design of situation programs can affect the properties of a context-aware system. The approach encourages a high-level of abstraction for representing and reasoning with situations, and supports building context-aware systems incrementally by providing modularity and separation of concerns.

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Librelotto, Giovani, Iara Augustin, Jonas Gassen, et al. "OntoHealth." International Journal of Advanced Pervasive and Ubiquitous Computing 2, no. 3 (2010): 33–45. http://dx.doi.org/10.4018/japuc.2010070103.

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In the last years ontologies are being used in the development of pervasive computing applications. It is habitual their use for facilitating the interoperability among context-aware applications and the entities that may enter in the context at any time. This chapter presents OntoHealth: an ontology applied to health pervasive environment and a tool to its processing. The main idea is that a hospital could be seen as this pervasive environment, where someone, through ubiquitous computing, engages a range of computational devices and systems simultaneously, in the course of ordinary activities, and may not necessarily even be aware that they are doing so. With the proposed ontology and the tool for its processing, the medical tasks can be shared by all components of this pervasive environment.

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Arabo, Abdullahi, Qi Shi, and Madjid Merabti. "Context-Aware Identity Management in Pervasive Ad-hoc Environments." International Journal of Advanced Pervasive and Ubiquitous Computing 1, no. 4 (2009): 29–42. http://dx.doi.org/10.4018/japuc.2009100103.

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Contextual information and Identity Management (IM) is of paramount importance in the growing use of portable mobile devices for sharing information and communication between emergency services in pervasive ad-hoc environments. Mobile Ad-hoc Networks (MANets) play a vital role within such a context. The concept of ubiquitous/pervasive computing is intrinsically tied to wireless communications. Apart from many remote services, proximity services (context-awareness) are also widely available, and people rely on numerous identities to access these services. The inconvenience of these identities creates significant security vulnerability as well as user discomfort, especially from the network and device point of view in MANet environments. In this article, the authors address how contextual information is represented to facilitate IM and present a User-centered and Context-aware Identity Management (UCIM) framework for MANets.

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Roussaki, Ioanna G., Maria A. Strimpakou, and Miltiades E. Anagnostou. "Designing next generation middleware for context-aware ubiquitous and pervasive computing." International Journal of Ad Hoc and Ubiquitous Computing 2, no. 3 (2007): 197. http://dx.doi.org/10.1504/ijahuc.2007.012420.

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Zhang, Xiuguo, Jiatong Li, and Zhiqing Chen. "Behaviour adaptation of context-aware web services in pervasive computing environment." International Journal of Wireless and Mobile Computing 5, no. 2 (2012): 184. http://dx.doi.org/10.1504/ijwmc.2012.046785.

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Khalfi, Mohammed Fethi, and Sidi Mohamed Benslimane. "Spontaneous Service-Providing using WS4D in Smart Environments." International Journal of Advanced Pervasive and Ubiquitous Computing 6, no. 4 (2014): 71–87. http://dx.doi.org/10.4018/ijapuc.2014100106.

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Pervasive environments are characterized by a large number of embedded devices offering their services to the user. Which of the available services are of most interest to the user considerably depends on the user's current context. Spontaneous service discovery and selection is one of the most important fields of research in pervasive computing. In this paper the authors will present an enhancement of ubiquitous computing discovery mechanisms adding context handling capabilities to Web Services for Devices in Pervasive Computing using UPnP as an infrastructure to address these implicit requests. User preferences, network and location are described by a formal context model ontology that is based on two levels: a generic level and a domain specific level. As compared with previous research, the authors' method uses location aware, UPnP infrastructure, web service for devices and the notion of proactivity in pervasive computing to continuously present the Spontaneous most relevant services to the user or device in response to changes of context, services or user preferences.

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Cherfia, Taha Abdelmoutaleb, and Faïza Belala. "Bigraphical Reactive Systems Based Approaches for Modeling Context-Aware Systems." International Journal of Adaptive, Resilient and Autonomic Systems 5, no. 4 (2014): 1–19. http://dx.doi.org/10.4018/ijaras.2014100101.

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In the past few years, context-aware computing has become one of the most promising topics of ubiquitous (pervasive) computing where computers are integrated and vanish in the background of users everyday activities. A context-aware system is a ubiquitous system, which is able to adapt its behavior automatically according to the gathered context information. However, due to the increasing complexity and diversity of such systems, the modeling process has become a major challenge for the ubiquitous computing community. In order to address this critical issue, different bigraphical reactive systems based approaches have been proposed to ease the modeling of some aspects of context-aware systems. Therefore, this paper presents a study attempting to show how bigraphs work under these approaches, and to illustrate the efficiency of our proposed approach in terms of addressing various aspects of context-aware systems.

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Lakehal, Abderrahim, Adel Alti, and Philippe Roose. "Context-Aware Multi-layered Ontology for Composite Situation Model in Pervasive Computing." Ingénierie des systèmes d information 25, no. 5 (2020): 543–58. http://dx.doi.org/10.18280/isi.250501.

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With the rapid advancement of technologies and analysis tools in the smart systems, enabling real-time context monitoring of user's living conditions and quality services delivery is increasing. Current studies in this area are focused on developing mobile applications with specific services, based on toolkit that allow developers to obtain context information from sensors. However, there exists a notable lack of ontology able to represent all the necessary context information starting from distributed users, and constantly changing environment. The modeling of user’s domains to represent diverse mobile and IoT devices, and finalizing with the description of user’s composite situations in smart-*(health, home, cities, car, office, etc.) domains. Considering interoperability, reusability, and flexibility, a new context composite situation ontology for smart systems is proposed with better representation of heterogeneous context. The ontology enables to sense, reason, and infer composite situations in various smart domains, prioritizes critical situations and facilitates the delivery of smart mobile service. Proposed ontology is formalized and validated on different smart environments with different user’s situations. Several experiments were carried out with a real-life motivating scenario. Experimental results showed that the proposed approach has reduced queries times and improved flexibility.

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G.S., Thyagaraju, and U. P. Kulkarni. "Algorithms to Resolve Conflict in Multiuser Context Aware Ubiquitous Environment." International Journal of Advanced Pervasive and Ubiquitous Computing 4, no. 3 (2012): 42–62. http://dx.doi.org/10.4018/japuc.2012070103.

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Conflict resolution in context-aware computing is getting more significant attention from researchers as pervasive/ubiquitous computing environments take into account multiple users and multiple applications. In multi-user ubiquitous computing environments, conflicts among user’s contexts need to be detected and resolved. Conflicts arise when multiple users try to access or try to have a control on an application. In this paper, the authors propose a series of algorithms to resolve conflict which can be embedded in different context aware applications like context aware devices (say TV, Mobile, AC, and Fan) and Context Aware Ambient (like Meeting Room, Living Room, Restaurant, Coffee Shop, etc.). The algorithms discussed in this paper make use of different tools like Probability, Fuzzy Logic, Bayesian Network and Rough set theory. In addition the algorithms utilize various factors like social, personal and environmental. The motto of this paper is to enable context aware applications to offer socialized and personalized services to multiple users by resolving service conflicts among users.

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Ahmed, Ali, and Ning Zhang. "Towards the realisation of context-risk-aware access control in pervasive computing." Telecommunication Systems 45, no. 2-3 (2009): 127–37. http://dx.doi.org/10.1007/s11235-009-9240-3.

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Ettazi, Widad, Mahmoud Nassar, and Hatim Hafiddi. "CATS-CAE Reflective Middleware Framework for Adapting Context-Aware Transactional Services." International Journal of Web Services Research 17, no. 2 (2020): 40–58. http://dx.doi.org/10.4018/ijwsr.2020040103.

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Pervasive environments are characterized by limited computing resources and wireless connectivity. In parallel, current application domains have variable transactional requirements that do not fit the traditional ACID model. As a result, the pervasive environment characteristics are compelling and cannot be supported by conventional solutions that are typically dedicated to a specific application domain and support a limited set of context parameters. This article aims at providing a complete solution that addresses the challenges of the adaptability of context-aware transactional services “CATS” in pervasive environments. Thus, a new framework CATS-CAE was designed, which offers a comprehensive structure of multiple component chains. The adaptation strategy in CATS-CAE is based on a hybrid approach combining the use of adaptation policies, alternative strategy and behavioral adaptation of composite services through the “Profiled Task Class” concept. A probabilistic model is also presented to support the efficiency of the proposed approach.

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Manolakos, Elias S., and Demetris G. Galatopoullos. "Service-Oriented Architectures for Pervasive Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 2, no. 4 (2010): 39–62. http://dx.doi.org/10.4018/ijapuc.2010100103.

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The vision of pervasive computing is to create and manage computational spaces where large numbers of heterogeneous devices collaborate transparently to serve the user tasks all the time, anywhere. The original utility of a computer is now changing from a stand-alone tool that runs software applications to an environmentaware, context-aware tool that can enhance the user experience by executing services and carrying out his/ her tasks in an efficient manner. However, the heterogeneity of devices and the user’s mobility are among the many issues that make developing pervasive computing applications a very challenging task. A solution to the programmability of pervasive spaces is adopting the service-oriented architecture (SOA) paradigm. In the SOA model, device capabilities are exposed as software services thus providing the programmer with a convenient abstraction level that can help to deal with the dynamicity of pervasive spaces. In this chapter the authors review the state of the art in SOA-based pervasive computing, identify existing open problems, and contribute ideas for future research.

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Padovitz, A., S. W. Loke, and A. Zaslavsky. "Multiple-Agent Perspectives in Reasoning About Situations for Context-Aware Pervasive Computing Systems." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 38, no. 4 (2008): 729–42. http://dx.doi.org/10.1109/tsmca.2008.918589.

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Vlachostergiou, Aggeliki, Georgios Stratogiannis, George Caridakis, George Siolas, and Phivos Mylonas. "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies." Journal of Electrical and Computer Engineering 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/4789803.

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Ubiquitous Computing is moving the interaction away from the human-computer paradigm and towards the creation of smart environments that users and things, from the IoT perspective, interact with. User modeling and adaptation is consistently present having the human user as a constant but pervasive interaction introduces the need for context incorporation towards context-aware smart environments. The current article discusses both aspects of the user modeling and adaptation as well as context awareness and incorporation into the smart home domain. Users are modeled as fuzzy personas and these models are semantically related. Context information is collected via sensors and corresponds to various aspects of the pervasive interaction such as temperature and humidity, but also smart city sensors and services. This context information enhances the smart home environment via the incorporation of user defined home rules. Semantic Web technologies support the knowledge representation of this ecosystem while the overall architecture has been experimentally verified using input from the SmartSantander smart city and applying it to the SandS smart home within FIRE and FIWARE frameworks.

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Bertolli, Carlo, Daniele Buono, Gabriele Mencagli, and Marco Vanneschi. "An Approach to Mobile Grid Platforms for the Development and Support of Complex Ubiquitous Applications." International Journal of Advanced Pervasive and Ubiquitous Computing 2, no. 4 (2010): 24–38. http://dx.doi.org/10.4018/ijapuc.2010100102.

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Several complex and time-critical applications require the existence of novel distributed, heterogeneous and dynamic platforms composed of a variety of fixed and mobile processing nodes and networks. Such platforms, that can be called Pervasive Mobile Grids, aim to merge the features of Pervasive Computing and Highperformance Grid Computing onto a new emerging paradigm. In this Chapter we study a methodology for the design and the development of high-performance, adaptive and context-aware applications. We describe a programming model approach, and we compare it with other existing research works in the field of Pervasive Mobile Computing, discussing the rationales of the requirements and the features of a novel programming model for the target platforms and applications. In order to exemplify the proposed methodology we introduce our programming framework ASSISTANT, and we provide some interesting future directions in this research field.

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Zhang, Jing, Li Wei Zhang, and Bing Liu. "A Design of Ubiquitous Learning Environment with the Support of Pervasive Computing." Applied Mechanics and Materials 397-400 (September 2013): 2483–86. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2483.

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Application of pervasive computing in education is attracting more and more attention. Wireless communication technology and context-aware technology is widely applied in ubiquitous learning environment. This paper discussed the function, characteristics and component of ubiquitous learning environment, aims to build a campus integrated learning environment and provide adaptive learning contents and service in an intelligent way for learners.

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Coronato, Antonio, Luigi Gallo, and Giuseppe De Pietro. "Medical Data Visualization via a Pervasive Multi-Agent Platform." International Journal of Healthcare Delivery Reform Initiatives 1, no. 4 (2009): 68–81. http://dx.doi.org/10.4018/jhdri.2009100105.

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Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that provides users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his or her physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.

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Khalfi, Mohammed Fethi, and Sidi Mohamed Benslimane. "PS4PCSim." International Journal of Advanced Pervasive and Ubiquitous Computing 6, no. 4 (2014): 63–70. http://dx.doi.org/10.4018/ijapuc.2014100105.

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Web Service for Devices (WSFD) sees a perspective of being able to build service-oriented and event-driven applications on top of these devices with Web service capabilities and a seamless integration into existing World Wide Web infrastructure. The authors introduce in this paper PS4PCSim, a proactive simulator toolkit for pervasive computing applications and environments. It has been implemented and used to test and simulate various context-aware pervasive systems in different application areas using UPnP infrastructure and the WSFD technology like a smart office or house with ambient sensors, actuators and physical devices.

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Et.al, Yitayish Lema. "A Context Aware Job Information Real-Time Delivery Framework for Pervasive Environment." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4224–37. http://dx.doi.org/10.17762/turcomat.v12i3.1713.

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Context-aware systems are getting rapid popularity towards enabling a pervasive computing environment over hand-held mobile devices, wearable devices, and Tablets. These systems deliver services tailored to the specific needs and user’s context. The context-aware system services can utilize information about the user’s context to adapt services based on the user’s location. The prime aim of this research paper is to investigate and analyse the critical issues and challenges while delivering the job information to the job seekers when they migrate from one place to another in search of jobs. In addition, the research also tries to investigate the challenges faced by employers/ job providers when they search and recruit the right person for the right jobs. In this paper the issues and challenges investigated and analysed were timeliness of information dissemination, opportunity missing, fake/genuine information, anywhere, anytime accessibility over small handheld devices. After rigorous analysis of the investigated issues and challenges in the existing state of art employment/job information dissemination systems, a real-time context-aware employment information delivery system framework for the pervasive environment is proposed. The research parameters considered are Preference of Job seekers, Location of Jobs, Context, Qualification, CGPA, Experience, everywhere access at any time, and Identity. The paper used both the quantitative and qualitative approaches for proposing a research-based applied solution. Survey of job seekers, Interview of recruiters, and technical observation of the researcher are used for collecting the relevant facts to check the researchability of the issues and challenges. Protégé version 4.3 is used for modelling, Edraw-Max for designing the framework, Google Form for Survey, and Justin mind tool for Prototype design and testing. The framework and its Prototype was examined using a user acceptance test. The acceptance test indicated that 84.6% of target stakeholders accepted the proposed system framework as a new knowledge solution for the aforementioned issues and challenges in the employment sectors

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Shen, Hai Bo, and Yu Cheng. "A Semantic-Aware Context-Based Access Control Framework for Mobile Web Services." Applied Mechanics and Materials 195-196 (August 2012): 498–503. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.498.

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As computing technology becomes more pervasive and mobile services are deployed, applications will need flexible access control mechanisms. Unlike traditional approaches based on the identity/role for access control, access decisions for these applications will depend on the combination of the required attributes of users and the contextual information. This paper proposes a semantic-aware context-based access control framework (called SA_CBAC) to be applied in mobile web services environment by combining semantic web technologies with context-based access control mechanism. In order to handle context information in the framework, this paper proposes a context ontology to represent contextual information and employ it in the inference engine. This paper also focuses on access control policies and addresses these issues by representing context, user attributes and resource attributes in knowledge base and extending XACML to incorporate the knowledge base.

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Sylla, Tidiane, Mohamed Aymen Chalouf, Francine Krief, and Karim Samaké. "SETUCOM: Secure and Trustworthy Context Management for Context-Aware Security and Privacy in the Internet of Things." Security and Communication Networks 2021 (April 14, 2021): 1–24. http://dx.doi.org/10.1155/2021/6632747.

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IoT technologies facilitate the development and the improvement of pervasive computing by enabling effective context-awareness features. These features enable the IoT applications to detect the user’s situation and adapt their behavior. They also enable context-aware security and privacy, which consist in adapting security and privacy mechanisms’ deployment to the user’s situation. Research studies on context-aware security and privacy focus on security and privacy mechanisms’ implementation but do not consider the secure and trustworthy context management. In this paper, we introduce a new secure and trustworthy context management system for context-aware security and privacy in the smart city: “SETUCOM.” SETUCOM is the implementation of the DTM (Device Trust Management) module of the CASPaaS (Context-Aware Security and Privacy as a Service) architecture. It secures context information exchange by using a lightweight hybrid encryption system adapted to IoT devices and manages trust through artificial intelligence techniques such as Bayesian networks and fuzzy logic. A detailed description of the proposed system is provided, and its main performances are evaluated. The results prove SETUCOM feasibility in context-aware security and privacy for the smart city.

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Bardram, J. E. "Pervasive Healthcare as a Scientific Discipline." Methods of Information in Medicine 47, no. 03 (2008): 178–85. http://dx.doi.org/10.3414/me9107.

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Summary Objective: The OECD countries are facing a set of core challenges; an increasing elderly population; increasing number of chronic and lifestyle-related diseases; expanding scope of what medicine can do; and increasing lack of medical professionals. Pervasive healthcare asks how pervasive computing technology can be designed to meet these challenges. The objective of this paper is to discuss ‘pervasive healthcare’ as a research field and tries to establish how novel and distinct it is, compared to related work within biomedical engineering, medical informatics, and ubiquitous computing. Methods: The paper presents the research questions, approach, technologies, and methods of pervasive healthcare and discusses these in comparison to those of other related scientific disciplines. Results: A set of central research themes are presented; monitoring and body sensor networks; pervasive assistive technologies; pervasive computing for hospitals; and preventive and persuasive technologies. Two projects illustrate the kind of research being done in pervasive healthcare. The first project is targeted at home-based monitoring of hypertension; the second project is designing context-aware technologies for hospitals. Both projects approach the healthcare challenges in a new way, apply a new type of research method, and come up with new kinds of technological solutions. ‘Clinical proof-of-concept’ is recommended as a new method for pervasive healthcare research; the method helps design and test pervasive healthcare technologies, and in ascertaining their clinical potential before large-scale clinical tests are needed. Conclusion: The paper concludes that pervasive healthcare as a research field and agenda is novel; it is addressing new emerging research questions, represents a novel approach, designs new types of technologies, and applies a new kind of research method.

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Siewe, François. "Towards the modelling of secure pervasive computing systems: A paradigm of Context-Aware Secure Action System." Journal of Parallel and Distributed Computing 87 (January 2016): 121–44. http://dx.doi.org/10.1016/j.jpdc.2015.09.008.

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Ai, Dan Xiang, Hui Zuo, and Jun Yang. "Personalized Mobile Catering Recommender System Based on Context Ontology Model and Rule Inference." Advanced Materials Research 717 (July 2013): 708–13. http://dx.doi.org/10.4028/www.scientific.net/amr.717.708.

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With the development of smart mobile terminals and pervasive computing, mobile recommender systems are proposed to realize context-aware personalized recommendation services. A context model plays a key role in a mobile recommender. We discussed the context ontology modeling approach specific for mobile recommendation, and developed a two-level context model including a upper ontology and a domain ontology. We also designed a personalized mobile catering recommender system based on the context ontology model and rule inference. The framework of the system is depicted. And the process of rule generation and rule inference based on the context ontologies is demonstrated.

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Siolas, Giorgos, George Caridakis, Phivos Mylonas, Giorgos Stratogiannis, Stefanos Kollias, and Andreas Stafylopatis. "Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments." International Journal of Virtual Communities and Social Networking 7, no. 3 (2015): 17–50. http://dx.doi.org/10.4018/ijvcsn.2015070102.

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The current paper provides an overview on how user modeling, context awareness and content adaptation in Smart Home environments may be handled formally in order to capture the semantics that emerge from a newly introduced user experience: SandS is in fact a complete ecosystem of users within a social network, creating and exchanging content in the form of so-called recipes and developing a collective intelligence which adapts its operation through appropriate feedback provided by the user. The authors will approach SandS from the user's perspective and illustrate how users and their relationships can be modeled through a number of fuzzy stereotypical profiles. Additionally, context modeling in pervasive computing systems and especially in the Smart Home paradigm will be examined through appropriate representation of context cues in the overall interaction. Finally, the authors will investigate how users and system services although using languages of different semantic expressiveness can inter-operate successfully thanks to appropriate knowledge-based expert mappings.

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Chen, Ming-Zhi, Bo-Gang Lin, and Shui-Li Chen. "Research on Proactive Services Based on Context Rules in Virtual Environment." New Mathematics and Natural Computation 10, no. 02 (2014): 177–85. http://dx.doi.org/10.1142/s1793005714500094.

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The issues of Human–Machine Interface (HMI) of Virtual Environment (VE) are discussed in view of users' potential application requirements in VE. The Human-centered HMI containing rich context information is proposed by taking the advantage of the abundant research findings of artificial intelligence and pervasive computing. The technology of context-aware computing is introduced in this study for providing initiative services mode as well. First, in view of the characteristics of VE, the Web Ontology Language (OWL) is adopted to model the context information. Second, the modified ID3 decision-tree algorithm is applied to automatically generate the context rules of VE. Third, the polymorphic proactive services model based on context rules is designed. Finally, an example is given to illustrate how to apply context rule-inference to realize proactive services. The experiment demonstrates the correctness and effectiveness of the above mentioned algorithm and model.

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Aljawarneh, Mahmoud Mohammad, Shahid Munir Shah, Lachhman Das Dhomeja, Yasir Arfat Malkani, and Mahmoud Saleh Jawarneh. "Multi-user conflict resolution mechanisms for smart home environments." PeerJ Computer Science 9 (June 23, 2023): e1443. http://dx.doi.org/10.7717/peerj-cs.1443.

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Context-awareness is a pervasive computing enabling technology that allows context-aware applications to respond to multiple contexts such as activity, location, temperature, and so on. When many users attempt to access the same context-aware application, user conflicts may emerge. This issue is emphasized, and a conflict resolution approach is presented to address it. Although there are other conflict resolution approaches in the literature, the one presented here is unique in that it considers the users’ special cases such as their sickness, examinations, and so on when resolving conflicts. The proposed approach is helpful when several users with different special cases try to access the same context-aware application. To demonstrate the usefulness of the proposed approach, a conflict manager is integrated with the UbiREAL simulated context-aware home environment. The integrated conflict manager resolves conflicts by taking users special cases into account and employing either automated, mediated, or hybrid conflict resolution approaches. The evaluation of the proposed approach demonstrates that users are satisfied with it and that it is critical and essential to employ users’ special cases in detecting and resolving users conflicts.

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PERTSELAKIS, MINAS, CHRISTOS FERLES, KOSTAS TSIOLIS, and ANDREAS STAFYLOPATIS. "WIRELESS DISTRIBUTED IMPLEMENTATION OF A FUZZY NEURAL CLASSIFICATION SYSTEM." International Journal on Artificial Intelligence Tools 14, no. 04 (2005): 661–82. http://dx.doi.org/10.1142/s0218213005002314.

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Recent years have seen a surge of interest in the field of pervasive context-aware computing. In this framework we propose a novel real implementation of an adaptive self-configurable system, applied within the scope of wireless ad-hoc networks. WiDFuNC is an integrated system that consists of an intelligent unit implemented on a real PDA, a number of sensors and a remote server device to form an efficient prototype system that can be applied in various domains. This implementation of WiDFuNC focuses on pure classification problems with satisfactory experimental results, presenting great adaptability and context-awareness.

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Mcheick, Hamid, and John Sayegh. "A Self-Adaptive and Efficient Context-Aware Healthcare Model for COPD Diseases." Informatics 8, no. 3 (2021): 41. http://dx.doi.org/10.3390/informatics8030041.

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The emergence of pervasive computing technology has revolutionized all aspects of life and facilitated many everyday tasks. As the world fights the coronavirus pandemic, it is necessary to find new ways to use technology to fight diseases and reduce their economic burden. Distributed systems have demonstrated efficiency in the healthcare domain, not only by organizing and managing patient data but also by helping doctors and other medical experts to diagnose diseases and take measures to prevent the development of serious conditions. In the case of chronic diseases, telemonitoring systems provide a way to monitor patients’ states and biomarkers in the course of their everyday routines. We developed a Chronical Obstructive Pulmonary Disease (COPD) healthcare system to protect patients against risk factors. However, each change in the patient context initiated the execution of the system’s entire rule base, which diminished performance. In this article, we use separation of concerns to reduce the impact of contextual changes by dividing the context, rules and services into software modules (units). We combine healthcare telemonitoring with context awareness and self-adaptation to create an adaptive architecture model for COPD patients. The model’s performance is validated using COPD data, demonstrating the efficiency of the separation of concerns and adaptation techniques in context-aware systems.

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Zon, Michael, Guha Ganesh, M. Jamal Deen, and Qiyin Fang. "Context-Aware Medical Systems within Healthcare Environments: A Systematic Scoping Review to Identify Subdomains and Significant Medical Contexts." International Journal of Environmental Research and Public Health 20, no. 14 (2023): 6399. http://dx.doi.org/10.3390/ijerph20146399.

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Context awareness is a field in pervasive computing, which has begun to impact medical systems via an increasing number of healthcare applications that are starting to use context awareness. The present work seeks to determine which contexts are important for medical applications and which domains of context-aware applications exist in healthcare. A systematic scoping review of context-aware medical systems currently used by patients or healthcare providers (inclusion criteria) was conducted between April 2021 and June 2023. A search strategy was designed and applied to Pub Med, EBSCO, IEEE Explore, Wiley, Science Direct, Springer Link, and ACM, articles from the databases were then filtered based on their abstract, and relevant articles were screened using a questionnaire applied to their full texts prior to data extraction. Applications were grouped into context-aware healthcare application domains based on past reviews and screening results. A total of 25 articles passed all screening levels and underwent data extraction. The most common contexts used were user location (8 out of 25 studies), demographic information (6 out of 25 studies), movement status/activity level (7 out of 25 studies), time of day (5 out of 25 studies), phone usage patterns (5 out of 25 studies), lab/vitals (7 out of 25 studies), and patient history data (8 out of 23 studies). Through a systematic review process, the current study determined the key contexts within context-aware healthcare applications that have reached healthcare providers and patients. The present work has illuminated many of the early successful context-aware healthcare applications. Additionally, the primary contexts leveraged by these systems have been identified, allowing future systems to focus on prioritizing the integration of these key contexts.

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TENTORI, MONICA, and JESUS FAVELA. "COLLABORATION AND COORDINATION IN HOSPITAL WORK THROUGH ACTIVITY-AWARE COMPUTING." International Journal of Cooperative Information Systems 17, no. 04 (2008): 413–42. http://dx.doi.org/10.1142/s0218843008001919.

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Collaborative applications enhanced with pervasive technology are gradually being introduced in hospitals to support the intense collaboration and coordination experienced by hospital workers. However, an environment filled with many different systems introduces an extra burden for hospital workers in selecting those services that are adequate to the task at hand. Activity-Based Computing has emerged as a new interaction and design paradigm to reorganize the way humans interact with computers by emphasizing the activity being executed rather than the technologies required to perform such activity. This is done by allowing users to handle activities as a basic computational unit instead of documents and applications. The problem of this paradigm is that humans must explicitly define computational activities and they often have trouble labeling and delimiting tasks. To cope with this, we propose to take this vision one step further by binding the physical, computing and user's context into the activity being executed by a user towards the design of activity-aware applications. Based on a workplace study conducted in a hospital, we propose an agent-based architecture and a set of design principles to let human activities be mirrored in computational activities associating resources and adapting the computational infrastructure based on the activity being executed. To exemplify the architecture and the principles proposed, we implemented an activity-aware map that personalizes the information shown to hospital workers, enforces availability, and sends collaboration and coordination warnings to the users.

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Li, Zheng Mao, Jun Wang, and Di Zheng. "Research of Recognition Management System for Noise, Temperature and Humidity Based on ZigBee." Advanced Materials Research 753-755 (August 2013): 2390–95. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2390.

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In order to reduce the acoustics material loss caused by the temperature and humidity varying of theatre environment as well as monitoring the noise changes, we have built a ZigBee technology based wireless sensor network. By using the temperature sensor, humidity sensor and the noise sensor we can get the environment information efficiently. Moreover, with the help of the context-aware concept in pervasive computing we build up the noise and temperature humidity cognitive management system. Experimental results show that, the system can effectively locate and recognize the noise source. At the same time it can complete effective early warning and propose according to different materials temperature and humidity characters so as to prolong the service life of the materials and improve their performance effectively.

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