A Middleware Architecture for Context-Aware and Location-Based Mobile Applications

Viterbo, José; Sacramento, Vagner; Rocha, Ricardo Couto Antunes da; Baptista, Gustavo; Malcher, Marcelo; Endler, Markus

doi:10.1109/sew.2008.7

Cited by 13 publications

(3 citation statements)

References 22 publications

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“…In [30], the authors elaborated a novel mobile collaboration architecture (MoCA), a service oriented middleware architecture which support the development and deployment of distributed context-aware applications for mobile users. Authors explained the compatibility of proposed MoCA with existing software engineering principles responsible for design and implementation of context aware applications.…”

Section: Middleware In Ieee 80211 Environmentmentioning

confidence: 99%

Middleware Architecture - History and Adaptation with IEEE 802.11

Bajpai¹,

Bansal²,

Tripathi³

et al. 2021

Middleware Architecture

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Communication, which intends to provide a link between any two people, is now moving towards man-to-machine and machine-to-machine connection for transferring different types of data. This transmission scenario, with and ever expanding number of active and passive users, lays the foundation to variety of communication protocols owing to the different types of data which is involved in the process. Within this ever expanding communication arena, Middle-ware can be thought of as a set of hardware and software which is used to connect different platforms with the end-users that are increasing in number day-by-day, with a possible wide spread over any region spanning from few meters to several kilometers. IEEE 802.11 is the set of standards which guides the wireless technology for device implementation and demands seamless integration across the entire protocol stack. This in turn demands an overview of the middleware architecture in broader perspective. This chapter explores the concept of middleware in the existing communication scenario, current trends and future scope.

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Section: Middleware In Ieee 80211 Environmentmentioning

confidence: 99%

Middleware Architecture - History and Adaptation with IEEE 802.11

Bajpai¹,

Bansal²,

Tripathi³

et al. 2021

Middleware Architecture

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“…Context is an alternative term for the state of an agent's environment. Context-awareness or situational-awareness is the ability of an agent to sense, interpret and adapt to the current context of its environment [13][14][15].…”

Section: Attributes Of Machine Autonomymentioning

confidence: 99%

Machine Autonomy: Definition, Approaches, Challenges and Research Gaps

Ezenkwu

Starkey

2019

Advances in Intelligent Systems and Computing

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The processes that constitute the designs and implementations of AI systems such as self-driving cars, factory robots and so on have been mostly hand-engineered in the sense that the designers aim at giving the robots adequate knowledge of its world. This approach is not always efficient especially when the agent's environment is unknown or too complex to be represented algorithmically. A truly autonomous agent can develop skills to enable it to succeed in such environments without giving it the ontological knowledge of the environment a priori. This paper seeks to review different notions of machine autonomy and presents a definition of autonomy and its attributes. The attributes of autonomy as presented in this paper are categorised into low-level and high-level attributes. The low-level attributes are the basic attributes that serve as the separating line between autonomous and other automated systems while the high-level attributes can serve as a taxonomic framework for ranking the degrees of autonomy of any system that has passed the low-level autonomy. The paper reviews some AI techniques as well as popular AI projects that focus on autonomous agent designs in order to identify the challenges of achieving a true autonomous system and suggest possible research directions.

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“…KAON2 has been compared with other systems and it was found that it provides better performance for ontologies with a large number of individuals and facts and a small number of classes and properties, which we believe to be the case for inferring situations in ubiquitous environments. To implement synchronous and asynchronous communication we used MoCA communication APIs [15].…”

Section: The Decentralized Reasoning Servicementioning

confidence: 99%

Decentralized Reasoning in Ambient Intelligence

Viterbo

Endler

2009

2009 33rd Annual IEEE Software Engineering Workshop

Self Cite

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In Ambient Intelligence (AmI), reasoning is fundamental for identifying specific situations that may be meaningful and relevant to some applications. As in such systems usually not all context data is readily available to all reasoners within a system, these reasoning operations may need to evaluate context data collected from distributed sources and stored on different devices. This work proposes a middleware service for performing decentralized rule-based reasoning about context data targeting AmI systems in which we assume that there are two main interacting parties in the reasoning process, each having access to different context information.

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A Middleware Architecture for Context-Aware and Location-Based Mobile Applications

Cited by 13 publications

References 22 publications

Middleware Architecture - History and Adaptation with IEEE 802.11

Middleware Architecture - History and Adaptation with IEEE 802.11

Machine Autonomy: Definition, Approaches, Challenges and Research Gaps

Decentralized Reasoning in Ambient Intelligence

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