Achieving consensus in self-organizing multi agent systems for smart microgrids computing in the presence of interval uncertainty

Formato, Giuseppina; Troiano, Luigi; Vaccaro, Alfredo

doi:10.1007/s12652-014-0231-1

Cited by 7 publications

(6 citation statements)

References 35 publications

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“…Multimedia applications though composed of numerical computing aspects are usually accessed via non-numerical modes by end users. A linguistic framework enabling system decision making has also been presented in [31]. However, a multimedia case study has not been presented in the discussion in [30,31].…”

Section: Existing Work-network Systems and Support For Multimedia Con...mentioning

confidence: 99%

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Stratospheric platform applications: reduced cognitive load for multimedia and education

Periola

2024

Wireless Netw

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The proliferation of computing solutions in future communication networks leads to the occurrence of cognitive visual overstimulation (CVO). CVO occurrence arises in multimedia content editing and provisioning of Science, Technology, Engineering, and Mathematics (STEM) education. The presented research proposes a high-altitude platform-based architecture that enable multimedia content editing related to space themes, and insertion in the edge of space i.e., the stratosphere (space horizon) environment. The use of the proposed architecture in content editing and STEM education contexts reduces the CVO by an average of (22–84.1) % and (13.6–31.7) %, respectively. Investigations show that the proposed architecture reduces the latency by an average of 30.3%, and 49.4% considering individual, and multiple content access, respectively. The use of the proposed architecture also reduces the power consumption associated with multimedia content editing by (8.05–42.9) % on average.

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Section: Existing Work-network Systems and Support For Multimedia Con...mentioning

confidence: 99%

“…A linguistic framework enabling system decision making has also been presented in [31]. However, a multimedia case study has not been presented in the discussion in [30,31].…”

Section: Existing Work-network Systems and Support For Multimedia Con...mentioning

confidence: 99%

Stratospheric platform applications: reduced cognitive load for multimedia and education

Periola

2024

Wireless Netw

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“…The F-transform algorithm is a technique used to approximate an original function "f", of which a priori only a finite number values is known, but the expression of the function itself is unknown. The F-transform concept has been used in image processing (Di Martino and Sessa 2007, 2019a, b, 2020Di Martino et al 2008), data analysis (Di Martino et al 2010Martino et al , 2011Di Martino and Sessa 2017a, b, 2019a, b, 2020Novak et al 2014;Formato et al 2014;Perfilieva et al 2008)…”

Section: The Mfc Algorithmmentioning

confidence: 99%

A classification algorithm based on multi-dimensional fuzzy transforms

Martino

Sessa

2021

J Ambient Intell Human Comput

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We present a new classification algorithm for machine learning numerical data based on direct and inverse fuzzy transforms. In our previous work fuzzy transforms were used for numerical attribute dependency in data analysis: the multi-dimensional inverse fuzzy transform was used to approximate the regression function. Also here the classification method presented is based on this operator. Strictly speaking, we apply the K-fold cross-validation algorithm for controlling the presence of over-fitting and for estimating the accuracy of the classification model: for each training (resp., testing) subset an iteration process evaluates the best fuzzy partitions of the inputs. Finally, a weighted mean of the multi-dimensional inverse fuzzy transforms calculated for each training subset (resp., testing) is used for data classification. We compare this algorithm on well-known datasets with other five classification methods.

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“…The applicability of the agent metaphor for problems related to smart grid infrastructures or electric vehicles is commonly agreed (see e.g., Formato et al 2014). Yet, we decided to apply an agent-oriented view because both domains-the energy domain as well as the traffic and transport domain-comprise a number of loosely coupled devices (e.g., vehicles, charging stations, cell phones, batteries, laptops, backend servers, desktop computers, to name but a few), which frequently have to act autonomously, that is, without any human interaction.…”

Section: Agent-based Transport Managementmentioning

confidence: 99%

A common approach to intelligent energy and mobility services in a smart city environment

Lützenberger

Masuch

Küster

et al. 2015

J Ambient Intell Human Comput

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Due to the fact that electric vehicles have not broadly entered the vehicle market there are many attempts to convince producers to integrate technologies that utilise embedded batteries for purposes different from driving. The vehicle-to-grid technology, for instance, literally turns electric vehicles into a mobile battery, enabling new areas of applications (e.g., to provide regulatory energy, to do grid-load balancing, or to buffer surpluses of energy) and business perspectives. Utilising a vehicle's battery, however is not without a price-in this case: the driver's mobility. Given this dependency, it is interesting that most available works consider the application of electric vehicles for energy and grid-related problems in isolation, that is, detached from mobility-related issues. The distributed artificial intelligence laboratory, or DAI-Lab, is a thirdparty funded research lab at Technische Universität Berlin and integrates the chair for agent technologies in business applications and telecommunication. The DAI-Lab has engaged in a large number of both, past and upcoming projects concerned with two aspects of managing electric vehicles, namely: energy and mobility. This article aims to summarise experiences that were collected during the last years and to present developed solutions which consider energy and mobility-related problems jointly.

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Achieving consensus in self-organizing multi agent systems for smart microgrids computing in the presence of interval uncertainty

Cited by 7 publications

References 35 publications

Stratospheric platform applications: reduced cognitive load for multimedia and education

Stratospheric platform applications: reduced cognitive load for multimedia and education

A classification algorithm based on multi-dimensional fuzzy transforms

A common approach to intelligent energy and mobility services in a smart city environment

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