An Embedded Middleware Platform for Pervasive and Immersive Environments for-All

Baldoni, Roberto; Ciccio, Claudio Di; Mecella, Massimo; Patrizi, Fabio; Querzoni, Leonardo; Santucci, Giuseppe; Dustdar, Schahram; Li, F.; Truong, Hong-Linh; Albornos, L.; Milagro, F.; Rafael, P. Antolin; Ayani, Rassul; Rasch, Katharina; Lozano, Marianela García; Aiello, Marco; Lazovik, Alexander; Denaro, A.; Lasala, Gerald; Pucci, Paolo; Holzner, Clemens; Cincotti, Febo; Aloise, Fabio

doi:10.1109/sahcnw.2009.5172921

Cited by 9 publications

(5 citation statements)

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“…In user configuration category inhabitants configure their own space by programming languages or through natural languages [4,5]. In predefined rules category the designers may monitor users for a specific period of time [6], ask them about their preferences [7], or even depend on expert's knowledge. In this case user may be unable to express his needs exactly, or he may forget different details.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

Action Prediction in Smart Home Based on Reinforcement Learning

Hassan

Atieh

2014

Smart Homes and Health Telematics

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Abstract. This paper presents an "intelligent" environment that can be occupied by an elderly or handicapped person. It is characterized by its online learning and continuous adaptation based on a new algorithm called "Planning Q-learning Algorithm (PQLA)". The user can make feedback promptly which simulates an algorithm that reconfigures the existing plans. The software adaptation is run under middleware "WCOMP" based on the aspect of assembly concept to adapt to the environmental changes.

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Section: Problem Statement and Related Workmentioning

confidence: 99%

Action Prediction in Smart Home Based on Reinforcement Learning

Hassan

Atieh

2014

Smart Homes and Health Telematics

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“… Non-functional attributes: Each middleware system satisfies some of the nonfunctional requirements that have been stated in the previous section. From many projects related to context-aware middleware, we survey some wellknown research studies including Context Toolkit [4], Gaia [13], Cobra [19], SOCAM [20] [21] [22], Awareness [23] [24] [25] [26] [27], SM4ALL [28] [29] [30], Feel@home [31] [14], Open [32], and CAMEO [33].…”

Section: -1 Reviewing Frameworkmentioning

confidence: 99%

Context-Aware Middleware: A Review

Vahdat-Nejad

2014

Context in Computing

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During previous years several studies have introduced the concept of "context-aware middleware" and also proposed solutions under this title; however, these systems are different in functionality. In this chapter, context-aware middleware is investigated from the standpoint of functional and non-functional requirements. Afterward, some well-known middleware systems are reviewed and, finally, open research directions as well as conclusion remarks are presented.

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“…In [4] and [5] the presented platforms use these technologies, but only to integrate different bio-medical devices in a home. Huang et al [6] proposes an OSGi-based platform that uses inference to dynamically choose among available services in the system.…”

Section: State Of the Artmentioning

confidence: 99%