46,046 research outputs found
Age of Information in Multicast Networks with Multiple Update Streams
We consider the age of information in a multicast network where there is a
single source node that sends time-sensitive updates to receiver nodes.
Each status update is one of two kinds: type I or type II. To study the age of
information experienced by the receiver nodes for both types of updates, we
consider two cases: update streams are generated by the source node at-will and
update streams arrive exogenously to the source node. We show that using an
earliest and transmission scheme for type I and type II updates,
respectively, the age of information of both update streams at the receiver
nodes can be made a constant independent of . In particular, the source node
transmits each type I update packet to the earliest and each type II
update packet to the earliest of receiver nodes. We determine the
optimum and stopping thresholds for arbitrary shifted exponential
link delays to individually and jointly minimize the average age of both update
streams and characterize the pareto optimal curve for the two ages
Leveraging Node Attributes for Incomplete Relational Data
Relational data are usually highly incomplete in practice, which inspires us
to leverage side information to improve the performance of community detection
and link prediction. This paper presents a Bayesian probabilistic approach that
incorporates various kinds of node attributes encoded in binary form in
relational models with Poisson likelihood. Our method works flexibly with both
directed and undirected relational networks. The inference can be done by
efficient Gibbs sampling which leverages sparsity of both networks and node
attributes. Extensive experiments show that our models achieve the
state-of-the-art link prediction results, especially with highly incomplete
relational data.Comment: Appearing in ICML 201
Warranty Data Analysis: A Review
Warranty claims and supplementary data contain useful information about product quality and reliability. Analysing such data can therefore be of benefit to manufacturers in identifying early warnings of abnormalities in their products, providing useful information about failure modes to aid design modification, estimating product reliability for deciding on warranty policy and forecasting future warranty claims needed for preparing fiscal plans. In the last two decades, considerable research has been conducted in warranty data analysis (WDA) from several different perspectives. This article attempts to summarise and review the research and developments in WDA with emphasis on models, methods and applications. It concludes with a brief discussion on current practices and possible future trends in WDA
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