Relevant bibliographies by topics / Context-aware architecture

Academic literature on the topic 'Context-aware architecture'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Context-aware architecture"

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Augusto, Juan C., Mario J. Quinde, Chimezie L. Oguego, and José Giménez Manuel. "Context-Aware Systems Architecture (CaSA)." Cybernetics and Systems 53, no. 4 (October 16, 2021): 319–45. http://dx.doi.org/10.1080/01969722.2021.1985226.

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Ganguly, Sukanta. "CADRA: context aware data retrieval architecture." International Journal of Advanced Intelligence Paradigms 3, no. 1 (2011): 82. http://dx.doi.org/10.1504/ijaip.2011.038117.

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Adel, Alti, Sébastien Laborie, and Philippe Roose. "Semantic Context-aware Adaptation Platform Architecture." Procedia Computer Science 32 (2014): 959–64. http://dx.doi.org/10.1016/j.procs.2014.05.518.

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Devarakonda, G. K. Mohan. "DEVICE ENABLED ARCHITECTURE FOR CONTEXT AWARE APPLICATIONS." International Journal of Advanced Research in Computer Science 8, no. 8 (August 30, 2017): 214–16. http://dx.doi.org/10.26483/ijarcs.v8i8.4600.

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Shakshuki, Elhadi M., Wael Alghamdi, and Tarek Sheltami. "Integrated Context-Aware Driver Assistance System Architecture." Mobile Information Systems 9, no. 3 (2013): 225–40. http://dx.doi.org/10.1155/2013/205426.

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Recently, significant improvements have been made in the area of vehicular communication systems. Furthermore, vehicle-to-vehicle communication is considered a key concept for keeping roads safe. An efficient implementation of these systems is necessary to ensure the safety of driving situations and to reduce the collision rates. This paper proposes a Context-Aware Driver Assistance System that links drivers with the physical environment surrounding them using multiple types of sensors and traffic systems as well as considering the senior driver's difficulties and the system processing time. This is achieved by developing a warning system that assists drivers to avoid collisions and improve their response times. The proposed system architecture consists of a set of components to process the user's request such as parking assistance, and to provide responses and advices when needed. These components include communication, knowledge exchange, knowledge update, and context-history. Also, it includes other processes such as context-history manipulation, hazard detection, and hazard detection control. The main goal of the proposed system is to reduce the number of car accidents and improve driver's decisions. The NXT Robotic environment is used to demonstrate the feasibility of the proposed system.
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Rehman, Kasim, Frank Stajano, and George Coulouris. "An Architecture for Interactive Context-Aware Applications." IEEE Pervasive Computing 6, no. 1 (January 2007): 73–80. http://dx.doi.org/10.1109/mprv.2007.5.

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Zaragoza, Mechelle Grace, and Haeng-Kon Kim. "Intelligent Agent Architecture for Context Aware Service." International Journal of Control and Automation 11, no. 10 (October 31, 2018): 45–54. http://dx.doi.org/10.14257/ijca.2018.11.10.05.

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Gochhayat, Sarada Prasad, Pallavi Kaliyar, Mauro Conti, Prayag Tiwari, V. B. S. Prasath, Deepak Gupta, and Ashish Khanna. "LISA: Lightweight context-aware IoT service architecture." Journal of Cleaner Production 212 (March 2019): 1345–56. http://dx.doi.org/10.1016/j.jclepro.2018.12.096.

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Han, Jialong, Aixin Sun, Haisong Zhang, Chenliang Li, and Shuming Shi. "CASE: Context-Aware Semantic Expansion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7871–78. http://dx.doi.org/10.1609/aaai.v34i05.6293.

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In this paper, we define and study a new task called Context-Aware Semantic Expansion (CASE). Given a seed term in a sentential context, we aim to suggest other terms that well fit the context as the seed. CASE has many interesting applications such as query suggestion, computer-assisted writing, and word sense disambiguation, to name a few. Previous explorations, if any, only involve some similar tasks, and all require human annotations for evaluation. In this study, we demonstrate that annotations for this task can be harvested at scale from existing corpora, in a fully automatic manner. On a dataset of 1.8 million sentences thus derived, we propose a network architecture that encodes the context and seed term separately before suggesting alternative terms. The context encoder in this architecture can be easily extended by incorporating seed-aware attention. Our experiments demonstrate that competitive results are achieved with appropriate choices of context encoder and attention scoring function.
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Anusha, D. J., R. Anandan, and P. Venkata Krishna. "Modified Context Aware Middleware Architecture for Precision Agriculture." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 7 (July 31, 2022): 112–20. http://dx.doi.org/10.17762/ijritcc.v10i7.5635.

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The opportunities for researchers are enhanced with the progression in the technology of communication and computing. The ease in life of many people like farmers, educators, administers, managers, etc., is increased with more inventions of the researchers using this new technology. The progressive technology for data management is providing more amount of information. However, is the user able to access the needed information when required? This question rises to the more questions like, how to identify whether the information is as per the requirement? Whether a user is authorized or not? The answer for all the questions is to make the support aware of the context. Therefore, the present technology needs to be modified to make the system aware about the context. The process of demonstrating the services based on the context using Wireless Sensor Networks (WSN) with the help of illustration on mango crop is emphasized in this paper. There are many serious problems like unsuitable fertilizer use, wrong selection of crops in wrong seasons, water waste, poor publicizing in the case of farming. These problems are addressed using the ubiquitous context aware middleware architecture for precision agriculture in mango crop.
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Dissertations / Theses on the topic "Context-aware architecture"

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Daruwala, Yohann. "A Constructive Memory Architecture for Context Awareness." University of Sydney, 2008. http://hdl.handle.net/2123/2250.

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Master of Philosophy (Architecture)
Context-aware computing is a mobile computing paradigm in which applications can discover, use, and take advantage of contextual information, such as the location, tasks and preferences of the user, in order to adapt their behaviour in response to changing operating environments and user requirements. A problem that arises is the inability to respond to contextual information that cannot be classified into any known context. Many context-aware applications require all discovered contextual information to exactly match a type of context, otherwise the application will not react responsively. The ability to learn and recall contexts based on the contextual information discovered has not been very well addressed by previous context-aware applications and research. The aim of this thesis is to develop a component middleware technology for mobile computing devices for the discovery and capture of contextual information, using the situated reasoning concept of constructive memory. The research contribution of this thesis lies in developing a modified architecture for context-aware systems, using a constructive memory model as a way to learn and recall contexts from previous experiences and application interactions. Using a constructive memory model, previous experiences can be induced to construct potential contexts, given a small amount of learning and interaction. The learning process is able to map the many variations of contextual information currently discovered by the user with a predicted type of context based on what the application has stored and seen previously. It only requires a small amount of contextual information to predict a context, something common context-aware systems lack, as they require all information before a type of context is assigned. Additionally, some mechanism to reason about the contextual information being discovered from past application interactions will be beneficial to induce contexts for future experiences.
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Marmasse, Natalia 1962. "comMotion : a context-aware communication system." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/61841.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1999.
Includes bibliographical references (p. 83-84).
How many times have you gone to the grocery store but left your shopping list on the refrigerator door? Wouldn't it be more efficient to have a reminder to buy groceries and the shopping list delivered to you when you were in the vicinity of the store? How many times have you suddenly thought of something you must do or have just had a great idea that you want to write down, or record, for future reference? Wouldn't it be useful to record that thought and be reminded of it when in the relevant place and time? Information delivery utopia would be to receive the exact amount of data we need (no more, no less), when and where we need it, and in a gratifying format, for example, in a pleasant voice or well-structured text. Although we are still far away from this goal, a partial solution to the information overload is to create systems which deliver timely information when the user is in the relevant context. This thesis describes comMotion, a context-aware communication system for a mobile or wearable computing platform. A behaviour-learning agent automatically learns the salient locations in the user's life. Once these places have been determined, location specific to-do lists, electronic Post-it notes or reminders, and subscription requested information can be delivered to the user at the right place and time. The user interacts with the system through a visual and/or speech interface.
by Natalia Marmasse.
S.M.
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Kaenampornpan, Manasawee. "A context model, design tool and architecture for context-aware systems designs." Thesis, University of Bath, 2009. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512315.

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Fracchia, Charles (Charles Victor). "Language & tools for context-aware biology." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100890.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 95-100).
Current biological research workflows make use of disparate, poorly integrated systems that cause large mental burden on the scientist leading to mistakes on often long, complex and costly experimental procedures. The lack of open tools to assist in the collection of distributed experimental conditions and data is largely responsible making protocols difficult to debug and laboratory practice hard to learn. In this thesis, we describe an open Protocol Descriptor Language (PDL) and system to enable a context-rich, quantitative approach to biological research. We detail the development of a closed-loop pipetting technology and a wireless, sample temperature sensor that integrate with our Protocol Description platform enabling novel, real-time experimental feedback to the researcher thereby reducing mistakes and increasing overall scientific reproducibility.
by Charles Fracchia.
S.M.
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Dargie, Waltenegus. "A Distributed Architecture for Computing Context in Mobile Devices." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2006. http://nbn-resolving.de/urn:nbn:de:swb:14-1151308912028-83795.

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Context-aware computing aims at making mobile devices sensitive to the social and physical settings in which they are used. A necessary requirement to achieve this goal is to enable those devices to establish a shared understanding of the desired settings. Establishing a shared understanding entails the need to manipulate sensed data in order to capture a real world situation wholly, conceptually, and meaningfully. Quite often, however, the data acquired from sensors can be inexact, incomplete, and/or uncertain. Inexact sensing arises mostly due to the inherent limitation of sensors to capture a real world phenomenon precisely. Incompleteness is caused by the absence of a mechanism to capture certain real-world aspects; and uncertainty stems from the lack of knowledge about the reliability of the sensing sources, such as their sensing range, accuracy, and resolution. The thesis identifies a set of criteria for a context-aware system to capture dynamic real-world situations. On the basis of these criteria, a distributed architecture is designed, implemented and tested. The architecture consists of Primitive Context Servers, which abstract the acquisition of primitive contexts from physical sensors; Aggregators, to minimise error caused by inconsistent sensing, and to gather correlated primitive contexts pertaining to a particular entity or situation; a Knowledge Base and an Empirical Ambient Knowledge Component, to model dynamic properties of entities with facts and beliefs; and a Composer, to reason about dynamic real-world situations on the basis of sensed data. Two additional components, namely, the Event Handler and the Rule Organiser, are responsible for dynamically generating context rules by associating decision events ? signifying a user?s activity ? with the context in which those decision events are produced. Context-rules are essential elements with which the behaviour of mobile devices can be controlled and useful services can be provided. Four estimation and recognition schemes, namely, Fuzzy Logic, Hidden Markov Models, Dempster-Schafer Theory of Evidence, and Bayesian Networks, are investigated, and their suitability for the implementation of the components of the architecture of the thesis is studied. Subsequently, fuzzy sets are chosen to model dynamic properties of entities. Dempster-Schafer?s combination theory is chosen for aggregating primitive contexts; and Bayesian Networks are chosen to reason about a higher-level context, which is an abstraction of a real-world situation. A Bayesian Composer is implemented to demonstrate the capability of the architecture in dealing with uncertainty, in revising the belief of the Empirical Ambient Knowledge Component, in dealing with the dynamics of primitive contexts and in dynamically defining contextual states. The Composer could be able to reason about the whereabouts of a person in the absence of any localisation sensor. Thermal, relative humidity, light intensity properties of a place as well as time information were employed to model and reason about a place. Consequently, depending on the variety and reliability of the sensors employed, the Composer could be able to discriminate between rooms, corridors, a building, or an outdoor place with different degrees of uncertainty. The Context-Aware E-Pad (CAEP) application is designed and implemented to demonstrate how applications can employ a higher-level context without the need to directly deal with its composition, and how a context rule can be generated by associating the activities (decision events) of a mobile user with the context in which the decision events are produced.
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Mukherjee, Niloy 1978. "Spontaneous speech recognition using visual context-aware language models." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/62380.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2003.
Includes bibliographical references (p. 83-88).
The thesis presents a novel situationally-aware multimodal spoken language system called Fuse that performs speech understanding for visual object selection. An experimental task was created in which people were asked to refer, using speech alone, to objects arranged on a table top. During training, Fuse acquires a grammar and vocabulary from a "show-and-tell" procedure in which visual scenes are paired with verbal descriptions of individual objects. Fuse determines a set of visually salient words and phrases and associates them to a set of visual features. Given a new scene, Fuse uses the acquired knowledge to generate class-based language models conditioned on the objects present in the scene as well as a spatial language model that predicts the occurrences of spatial terms conditioned on target and landmark objects. The speech recognizer in Fuse uses a weighted mixture of these language models to search for more likely interpretations of user speech in context of the current scene. During decoding, the weights are updated using a visual attention model which redistributes attention over objects based on partially decoded utterances. The dynamic situationally-aware language models enable Fuse to jointly infer spoken language utterances underlying speech signals as well as the identities of target objects they refer to. In an evaluation of the system, visual situationally-aware language modeling shows significant , more than 30 %, decrease in speech recognition and understanding error rates. The underlying ideas of situation-aware speech understanding that have been developed in Fuse may may be applied in numerous areas including assistive and mobile human-machine interfaces.
by Niloy Mukherjee.
S.M.
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Gui, Feng. "Development of a New Client-Server Architecture for Context Aware Mobile Computing." FIU Digital Commons, 2009. http://digitalcommons.fiu.edu/etd/202.

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This dissertation studies the context-aware application with its proposed algorithms at client side. The required context-aware infrastructure is discussed in depth to illustrate that such an infrastructure collects the mobile user’s context information, registers service providers, derives mobile user’s current context, distributes user context among context-aware applications, and provides tailored services. The approach proposed tries to strike a balance between the context server and mobile devices. The context acquisition is centralized at the server to ensure the usability of context information among mobile devices, while context reasoning remains at the application level. Hence, a centralized context acquisition and distributed context reasoning are viewed as a better solution overall. The context-aware search application is designed and implemented at the server side. A new algorithm is proposed to take into consideration the user context profiles. By promoting feedback on the dynamics of the system, any prior user selection is now saved for further analysis such that it may contribute to help the results of a subsequent search. On the basis of these developments at the server side, various solutions are consequently provided at the client side. A proxy software-based component is set up for the purpose of data collection. This research endorses the belief that the proxy at the client side should contain the context reasoning component. Implementation of such a component provides credence to this belief in that the context applications are able to derive the user context profiles. Furthermore, a context cache scheme is implemented to manage the cache on the client device in order to minimize processing requirements and other resources (bandwidth, CPU cycle, power). Java and MySQL platforms are used to implement the proposed architecture and to test scenarios derived from user’s daily activities. To meet the practical demands required of a testing environment without the impositions of a heavy cost for establishing such a comprehensive infrastructure, a software simulation using a free Yahoo search API is provided as a means to evaluate the effectiveness of the design approach in a most realistic way. The integration of Yahoo search engine into the context-aware architecture design proves how context aware application can meet user demands for tailored services and products in and around the user’s environment. The test results show that the overall design is highly effective,providing new features and enriching the mobile user’s experience through a broad scope of potential applications.
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Martinez, Araiza Jorge Ulisses 1976. "Wireless transmission of power for sensors in context aware spaces." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/28249.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002.
Includes bibliographical references (leaves 116-120).
In the present thesis I create and use wireless power as an alternative to replace wiring and batteries in certain new scenarios and environments. Two specific scenarios will be highlighted and discussed that motivated this research: The Interactive Electromechanical Necklace and the Wireless-Batteryless Electronic Sensors. The objective is to wirelessly gather energy from one RF source and convert it into usable DC power that is further applied to a set of low-power-demanding electronic circuits. This idea improves the accomplishments of Radio Frequency Identification (RFID) tags systems. The RF-to-DC conversion objective is accomplished by designing and characterizing an element commonly known as a Rectenna, which consists of an antenna and an associated rectification circuitry. The rectenna is fully characterized in this dissertation and it is used for powering electronic lights, sounds, transmitters, and different types of sensors as well. The wireless power transmission system is presented in the first place with the development of a special set of wearable beads for an interactive necklace. These beads allow physical interaction between the necklace and electronic elements placed in the environment. This scenario demonstrates that passive electronics without batteries are possible. Next I also design and implement low-power sensors that will use the energy delivered from the rectennas to perform active tasks. The switching sensor provides visual/audio feedback to the user when there's a change in the state of the sensed object (i.e. LEDs lit when a stapler runs out of staples); the humidity sensor permits monitoring the humidity in the soil of a flower pot. The sensor actively transmits the information of any of two possible stages (dry soil/humid soil) to its environment. This scenario extends the capabilities of common RFID tags, where not only they transmit information but also can react to their environment in an active fashion.
by Jorge Ulises Martinez Araiza.
S.M.
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Meng, Zhaozong. "Investigation of a hierarchical context-aware architecture for rule-based customisation of mobile computing service." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/23419/.

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The continuous technical progress in mobile device built-in modules and embedded sensing techniques creates opportunities for context-aware mobile applications. The context-aware computing paradigm exploits the relevant context as implicit input to characterise the user and physical environment and provide a computing service customised to the contextual situation. However, heterogeneity in techniques, complexity of contextual situation, and gap between raw sensor data and usable context keep the techniques from truly integration for extensive use. Studies in this area mainly focus on feasibility demonstration of the emerging techniques, and they lack general architecture support and appropriate service customisation strategy. This investigation aims to provide general system architecture and technical approaches to deal with the heterogeneity problem and efficiently utilise the dynamic context towards proactive computing service that is customised to the contextual situation. The main efforts of this investigation are the approaches to gathering, handling, and utilising the dynamic context information in an efficient way and the decision making and optimisation methods for computing service customisation. In brief, the highlights of this thesis cover the following aspects: (1) a hierarchical context-aware computing architecture supporting interoperable distribution and further use of context; (2) an in-depth analysis and classification of context and the corresponding context acquisition methods; (3) context modelling and context data representation for efficient and interoperable use of context; (4) a rule-based service customisation strategy with a rule generation mechanism to supervise the service customisation. In addition, feasibility demonstration of the proposed system and contribution justification of this investigation are conducted through case studies and prototype implementations. One case study uses mobile built-in sensing techniques to improve the usability and efficiency of mobile applications constrained by resource limitation, and the other employs the mobile terminal and embedded sensing techniques to predict users’ expectations for home facility automatic control. Results demonstrate the feasibility of the proposed context handling architecture and service customisation methods. It shows great potential for employing the context of the computing environment for context-aware adaptation in pervasive and mobile applications but also indicates some underlying problems for further study.
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Baloch, Raheel Ali. "Context dependency analysis in ubiquitous computing." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00714129.

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To provide users with personalized adaptive services only using the accessible computing resources in a cloud environment, context aware applications need to assimilate both the accessed and derived context, i.e. a combination of more than one sensed data and information in the environment. Context data dependency, dependency that arises between the context data producer and consumer, may get introduced in a system due to numerous reasons. But as the number of context dependencies for a service increases, the more complex the system becomes to manage. The thesis addresses issues of how to identify context dependencies, represent such context dependencies and then reduce them in a system. In the first part of the thesis, we present two efficient approaches to determine context dependency relations among various services in ubiquitous computing environment to help better analyse the pervasive services. One approach is based on graph theory, and we have used the topological sort to determine the context dependencies. The second approach is based on solving constraint networks which determines whether an entity is affected when the state of a certain other entity has its state changed, i.e. determining the dynamic nature of context dependency. In the second part of the thesis, we present a mode for representation of context dependencies within a system. Our model that represents context dependencies is based on set theory and first-order predicate logic. The context dependency representation model also represents alternative sources for context acquisition that can be utilized in a case in which the preferred context producers are not available to service the desired context to the relevant context consumer any more. Further, we try to reduce the context dependencies by presenting the idea of profile context, which is based on the proposal of an open framework for context acquisition, management and distribution. This heuristic approach is based on the idea of utilizing mobile nodes in an ad hoc overlay network with more resources than the context producer itself to store various contextual information under the banner of profile context, and further, provide profile context instead of each context individually based on the queries the nodes receive from the context consumers. Bringing together the context information and context updates from various sources, support for context aware decisions can be implemented efficiently in a mobile environment by addressing the issues of context dependency using profile context
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Books on the topic "Context-aware architecture"

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Context-aware pervasive systems: Architectures for a new breed of applications. Boca Raton, FL: Auerbach Publications, 2007.

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Building service-aware networks. Indianapolis, Ind: Cisco Press, 2010.

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Danny, Raz, ed. Fast and efficient context-aware services. Chichester, England: Wiley, 2006.

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Z, Sheng Quan, Yu Jian 1974-, and Dustdar Schahram, eds. Enabling context-aware web services: Methods, architectures, and technologies. Boca Raton: Taylor & Francis, 2010.

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Khan, Muhammad Afaq. Building service-aware networks. Indianapolis, Ind: Cisco Press, 2010.

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Khan, Muhammad Afaq. Building service-aware networks: The next-generation WAN/MAN. Indianapolis, IN: Cisco Press, 2010.

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Loke, Seng. Context-Aware Pervasive Systems. Taylor & Francis Group, 2019.

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Conrad, Jan. Flexible User Interface - FLUSI: An architecture for a context-aware user interface. VDM Verlag Dr. Mueller e.K., 2007.

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Raz, Danny, Arto Tapani Juhola, Joan Serrat-Fernandez, and Alex Galis. Fast and Efficient Context-Aware Services. Wiley & Sons, Incorporated, John, 2006.

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Raz, Danny, Arto Tapani Juhola, Joan Serrat-Fernandez, and Alex Galis. Fast and Efficient Context-Aware Services. Wiley & Sons, Incorporated, John, 2007.

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Book chapters on the topic "Context-aware architecture"

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Kale, Vivek. "Context-Aware Computing." In Digital Transformation of Enterprise Architecture, 395–412. Boca Raton, Florida : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9781351029148-21.

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Pantsar-Syväniemi, Susanna. "Adaptable Context-Aware Micro-architecture." In Grid and Pervasive Computing Workshops, 125–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27916-4_14.

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Mahalle, Parikshit N., and Prashant S. Dhotre. "Architecture for Context-Aware Systems." In Intelligent Systems Reference Library, 91–107. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9952-8_5.

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Cherfia, Taha Abdelmoutaleb, and Faïza Belala. "Towards a Bigraph-Based Model for Context-Aware Adaptive Systems." In Software Architecture, 340–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39031-9_34.

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del Carmen Rodríguez-Hernández, María, and Sergio Ilarri. "Towards a Context-Aware Mobile Recommendation Architecture." In Mobile Web Information Systems, 56–70. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10359-4_5.

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Lee, Keon Myung, Bong Ki Sohn, Jong Tae Kim, Seung Wook Lee, Ji Hyong Lee, Jae Wook Jeon, and Jundong Cho. "An SoC-Based Context-Aware System Architecture." In Lecture Notes in Computer Science, 573–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30134-9_77.

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Wan, Kaiyu, Vasu Alagar, and Joey Paquet. "An Architecture for Developing Context-Aware Systems." In Lecture Notes in Computer Science, 48–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11740674_4.

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Sabagh, Angham A., and Adil Al-Yasiri. "An Extensible Framework for Context-Aware Smart Environments." In Architecture of Computing Systems - ARCS 2011, 98–109. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19137-4_9.

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Musumba, George Wamamu, and Ruth Diko Wario. "Towards a Context-Aware Adaptive e-Learning Architecture." In Communications in Computer and Information Science, 191–206. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05813-5_13.

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Fernández, José M., Rubén Fuentes-Fernández, and Juan Pavón. "A Dynamic Context-Aware Architecture for Ambient Intelligence." In Advances in Computational Intelligence, 637–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21498-1_80.

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Conference papers on the topic "Context-aware architecture"

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"CONTEXT-AWARE SEARCH ARCHITECTURE." In 12th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002968300710078.

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Seidel, Martin, and Sebastian Zug. "Context aware architecture for distributed robotics." In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2016. http://dx.doi.org/10.1109/etfa.2016.7733646.

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Zhang, N., and C. Todd. "A privacy-respecting context-aware architecture." In IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061584.

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"CONTEXT-AWARE AGENTS - The 6Ws Architecture." In 1st International Conference on Agents and Artificial Intelligence. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001745305910594.

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"Role-based Multi-purposeWorkflow Engine Architecture." In International Workshop on Technologies for Context-Aware Business Process Management. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003011300450054.

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Macías, Aurora, and Elena Navarro. "An integrated approach for context-aware development." In ECSA '18: 12th European Conference on Software Architecture. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3241403.3241452.

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Reale, Anna, Melinda Tóth, and Zoltán Horváth. "Towards context aware computations offloading in 5G." In ECSA '17: 11th European Conference on Software Architecture. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129790.3129794.

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Iftikhar, Nadeem, Humaira Liaquat, and Muhammad Abdul Qadir. "Profile based Context-Aware Query Processing Architecture." In 2006 IEEE International Multitopic Conference. IEEE, 2006. http://dx.doi.org/10.1109/inmic.2006.358172.

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Sholla, Sahil, Roohie Naaz, and Mohammad Ahsan Chishti. "Semantic Smart City: Context Aware Application Architecture." In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2018. http://dx.doi.org/10.1109/iceca.2018.8474777.

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Choi, Jongmyung. "Software Architecture for Extensible Context-Aware Systems." In 2008 International Conference on Convergence and Hybrid Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/ichit.2008.236.

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Reports on the topic "Context-aware architecture"

1

Chen, Harry, Tim Finin, and Anupam Joshi. Semantic Web in a Pervasive Context-Aware Architecture. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439730.

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