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Andrew Whittle

dblp:79/8068 · also Andrew J. Whittle · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0001-5358-4140ORCID · corroborated

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

Artificial intelligence and machine learning · 1Computer networks · 1Software engineering, systems software and programming languages · 1

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 networks
1 paper
Network measurement and analytics · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Smart cities and intelligent transportation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics › anomaly detection
burst detection
0.112010
Real-time burst event detection in water distribution systems · IPSN 2010
Smart cities and intelligent transportation › urban infrastructure
urban infrastructure monitoring
0.012010
Real-time burst event detection in water distribution systems · IPSN 2010

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

real-time monitoring · 0.2
YearPublicationVenuePosition
2013 Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network
abstract
Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable data to understand and detect water losses due to leaks or burst events, anomalies in the control of water quality and the impacts of operational activities (such as pipe isolation, maintenance or repair) on water supply to customers. Water Wise is a platform that manages and analyses data from a network of wireless sensor nodes, continuously monitoring hydraulic, acoustic and water quality parameters. Water Wise supports many applications including rolling predictions of water demand and hydraulic state, online detection of events such as pipe bursts, and data mining for identification of longer-term trends. This paper illustrates the advantage of the Water Wise platform in resolving operational decisions.
Ami Preis, Mudasser Iqbal, Andrew Whittle
SNPD4
2010 Real-time burst event detection in water distribution systems
abstract
In this paper, we present an overview of a system that we are developing for the continuous monitoring of water distribution systems in Singapore. We discuss the design and implementation of the system that enables real-time detection of pipe burst events.
Seshan Srirangarajan, Mudasser Iqbal, Ami Preis, Cheng Fu 0001, Lewis Girod, Kai Juan Wong, Hock-Beng Lim, Andrew Whittle
IPSN9