Heterogeneous partitioning is a key step for efficient mapping and scheduling of data parallel applications on multi-core computing platforms involving both CPUs and GPUs. Over th...
Performance analysis of distributed systems with tiered software architecture has popularly entailed mean response time as the commonly used metric. It must be noted however that ...
Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ...
Purpose – In this study, we examined the influence of one or more information security breaches on an organization’s stock market value as a way to benchmark the wider economi...
Clustering is a fundamental property of complex networks and it is the mathematical expression of a ubiquitous phenomenon that arises in various types of self-organized networks su...
Abstract We propose a novel semi-supervised learning scheme using adaptive interpolation on multiple one-dimensional (1-D) embedded data. For a give high dimensional data set, we s...
— This paper deals with the problem of set-membership identification and fault detection using a Bayesian framework. The paper presents how the setmembership model estimation pro...
— An online survey for 600 Japanese participants from 20’s to 50’s was conducted to reveal who expect rapport to what robots. In concrete, the survey was based on hypothetica...
: Threshold-based fall detection has been widely adopted in conventional fall detection systems. In this paper, we argue that a fixed threshold is not flexible enough for differe...