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Andrea Cirigliano

dblp:185/5031 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0003-1762-1164ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Computer networks
1 paper
Wireless sensing and localization · 50% Internet of things and sensor networks · 50%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
smart buildings
0.112018
Toward Smart Building Design Automation: Extensible CAD Framework for Indoor Localization Systems Deployment · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2018
Internet of things and sensor networks › wireless sensor network › sensor deployment
deployment optimization
0.112018
Toward Smart Building Design Automation: Extensible CAD Framework for Indoor Localization Systems Deployment · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2018
Wireless sensing and localization
indoor localization
0.112018
Toward Smart Building Design Automation: Extensible CAD Framework for Indoor Localization Systems Deployment · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2018

Methods — techniques the papers use, named apart from their topics

site-specific deployment algorithm · 1.0CAD framework · 1.0
YearPublicationVenuePosition
2018 Toward Smart Building Design Automation: Extensible CAD Framework for Indoor Localization Systems Deployment
abstract
Over the last years, many smart buildings applications, such as indoor localization or safety systems, have been subject of intense research. Smart environments usually rely on several hardware nodes equipped with sensors, actuators, and communication functionalities. The high level of heterogeneity and the lack of standardization across technologies make design of such environments a very challenging task, as each installation has to be designed manually and performed ad-hoc for the specific building. On the other hand, many different systems show common characteristics, like the strict dependency with the building floor plan, also sharing similar requirements such as a nodes allocation that provides sensing coverage and nodes connectivity. This paper provides a computer-aided design application for the design of smart building systems based on the installation of hardware nodes across the indoor space. The tool provides a site-specific algorithm for cost-effective deployment of wireless localization systems, with the aim to maximize the localization accuracy. Experimental results from real-world environment show that the proposed site-specific model can improve the positioning accuracy of general models from the state-of-the-art. The tool, available open-source, is modular and extensible through plug-ins allowing to model building systems with different requirements.
Andrea Cirigliano, Roberto Cordone, A. A. Nacci, Marco D. Santambrogio
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1