1,721,281 research outputs found
Domotica, partire dalle esigenze delle persone
No full textEditoriale del numero 01/2015, dedicato al tema della domotic
An extensible platform for semantic classification and retrieval of multimedia resources
No full textWhat Would You Ask to Your Home if It Were Intelligent? Exploring User Expectations about Next-Generation Homes
Full text linkAmbient Intelligence (AmI) research is giving birth to a multitude of futuristic home scenarios and applications; however a clear discrepancy between current installations and research-level designs can be easily noticed. Whether this gap is due to the natural distance between research and engineered applications or to mismatching of needs and solutions remains to be understood. This paper discusses the results of a survey about user expectations with respect to intelligent homes. Starting from a very simple and open question about what users would ask to their intelligent homes, we derived user perceptions about what intelligent homes can do, and we analyzed to what extent current research solutions, as well as commercially available systems, address these emerging needs. Interestingly, most user concerns about smart homes involve comfort and household tasks and most of them can be currently addressed by existing commercial systems, or by suitable combinations of them. A clear trend emerges from the poll findings: the technical gap between user expectations and current solutions is actually narrower and easier to bridge than it may appear, but users perceive this gap as wide and limiting, thus requiring the AmI community to establish a more effective communication with final users, with an increased attention to real-world deploymen
A Threat Model for Extensible Smart Home Gateways
Full text linkThis paper proposes a threat model for a specific class of components of IoT infrastructures: smart home gateways extensible through plug-ins.
The purpose of the proposed model is twofold. From one side, it helps to understand some possible issues that could be generated from a malicious or defective implementation of a plug-in and affect the gateway itself or other smart home devices. Consequently, the model could help programmers of gateway applications, plug-ins, and devices think about possible countermeasures and develop more resilient
solutions.
On the other side, the model could be regarded as a set of guidelines. Indeed, plug-in developers should not create plug-ins acting like the threats reported in the paper.
To provide a first validation of the model, the paper presents a use case based on Home Assistant, an open-source smart home gateway application
Rule-based Intelligence for Domotic Environments
No full textIn the last years Home Automation systems gained new momentum, permeating many human-related environments, from homes to hospitals. The rapid evolution of such systems showed several interoperability pitfalls and a generally insufficient support for advanced user-home interaction. To tackle these emerging issues, recent research works defined the concept of Intelligent Domotic Environments (IDEs) where different automation systems, appliances and devices are integrated into a single powerful environment, capable of providing Ambient Intelligence (AmI) functionalities. IDEs represent one of the first attempts to define a framework for AmI environments based on off-the-shelf domotic systems. This paper contributes to extend IDE capabilities by supporting basic intelligence requirements through a rule-based reasoning mechanism. Starting from a formal model of IDE elements (DogOnt), rules are defined to evaluate environment properties. Property checking is done both off-line, for structural properties, i.e., properties involving the physical structure and configuration of the IDE, and on-line for properties dependent on current IDE states. Two rule languages, SWRL and JenaRules, are considered for rule formalization and their reasoning performance is evaluated by comparing two different rule engines, namely Jess and Jena. Results show that rule-based reasoning can deal with quite complex property checking, effectively addressing basic intelligence for IDEs and providing the basis for more advanced behaviors such as user adaptation and proactive interactio
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