Towards an agent-based architecture for managing uncertainty in situation awareness

Furno, D.; Loia, Vincenzo; Veniero, Mario; Anisetti, Marco; Bellandi, Valerio; Ceravolo, Paolo; Damiani, Ernesto

doi:10.1109/ia.2011.5953605

Cited by 10 publications

(4 citation statements)

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“…An adaptive fuzzy control system reported in [33] has made an attempt to propose an adaptive home to adapt to its inhabitants' living style. Similar applications using embedded agents are reported in [34] and [35].…”

Section: Related Worksupporting

confidence: 68%

Behavioural pattern identification and prediction in intelligent environments

Mahmoud

Lotfi

Langensiepen

2013

Applied Soft Computing

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In this paper, the application of soft computing techniques in prediction of an occupant's behaviour in an inhabited intelligent environment is addressed. In this research, daily activities of elderly people who live in their own homes suffering from dementia are studied. Occupancy sensors are used to extract the movement patterns of the occupant. The occupancy data is then converted into temporal sequences of activities which are eventually used to predict the occupant behaviour. To build the prediction model, different dynamic recurrent neural networks are investigated. Recurrent neural networks have shown a great ability in finding the temporal relationships of input patterns. The experimental results show that non-linear autoregressive network with exogenous inputs model correctly extracts the long term prediction patterns of the occupant and outperformed the Elman network. The results presented here are validated using data generated from a simulator and real environments.

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Section: Related Worksupporting

confidence: 68%

Behavioural pattern identification and prediction in intelligent environments

Mahmoud

Lotfi

Langensiepen

2013

Applied Soft Computing

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“…The research has attempted to propose an adaptive home to adapt to its inhabitants' living style. Similar applications using embedded agents are reported in [9] [10].…”

Section: Related Workmentioning

confidence: 58%

Fuzzy ambient intelligence for intelligent office environments

Puteh

Langensiepen

Lotfi

2012

2012 IEEE International Conference on Fuzzy Systems

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Abstract-In this paper we present an ambient intelligence system for modelling and control of power use within an office environment. We define a multi-scale model of the office worker, consisting of a coarse grained office user profile, together with a fine grained characteristics model to summarise their behaviours. Sensor data gathered from individual offices are used to create these models. Collected data are fuzzified to produce meaningful and understandable descriptions of the worker's daily activities. These models of the individuals form the basis of a Dynamic Power Usage Scheme (DPUS) to control individual offices. A trial version of the system has been implemented using individual academic staff offices in a university campus. Experiments have shown that even a simplistic user profile can lead to significant power savings from appropriate control of computers in an office environment.

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“…A nice survey on uncertainty in data integration is [95]. In essence, the idea is to model all kinds of data quality problems as uncertainty in the data [96,117]. This way, uncertain data can be stored and managed in a probabilistic database [118], or by aggregating metadata in the form of possibilistic assertions [119].…”

Section: Data Preparation and Cleaningmentioning

confidence: 99%

Big Data Semantics

et al. 2018

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Big Data technology has discarded traditional data modelling approaches as no longer applicable to distributed data processing. It is, however, largely recognised that Big Data impose novel challenges in data and infrastructure management. Indeed, multiple components and procedures must be coordinated to ensure a high level of data quality and accessibility for the application layers, e.g. data analytics and reporting. In this paper, the third of its kind co-authored by mem-

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Towards an agent-based architecture for managing uncertainty in situation awareness

Cited by 10 publications

References 10 publications

Behavioural pattern identification and prediction in intelligent environments

Behavioural pattern identification and prediction in intelligent environments

Fuzzy ambient intelligence for intelligent office environments

Big Data Semantics

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