We consider bounded occurrence (degree) instances of a minimum constraint satisfaction problem MIN-LIN2 and a MIN-BISECTION problem for graphs. MIN-LIN2 is an optimization problem for a given system of linear equations mod 2 to construct a solution that sat-isses the minimum number of them. E3-OCC-MIN-E3-LIN2 is the bounded occurrence (degree) problem restricted as follows: each equation has ex...

Motivated by the imminent growth of massive, highly redundant genomic databases, we study the problem of compressing a string database while simultaneously supporting fast random access, substring extraction and pattern matching to the underlying string(s). Bille et al. (2011) recently showed how, given a straight-line program with r rules for a string s of length n, we can build an O(r)-word d...

Optimal performance of future adaptive restraint systems will require an accurate assessment of occupant characteristics including physical properties and pre-collision behavior of the occupant. This study is aimed at evaluating the sensitivity of frontal collision induced injuries to occupant state parameters: stature, mass, and pre-collision postural orientation. A numerically modeled restrai...

AbstmctA red-time stereo-based head detection algorithm i s presented and evaluated as an occupant posture analysis system for ”smart” airbag deployment. The algorithm uses several constraints to limit the number of head ellipse ”candidates” found in the image. These constraints are based on shape, size and depth of the occupant’s head. Results of ground truth experiments show $at the bead dete...

Main-memory multicore transactional systems have achieved excellent performance using single-version optimistic concurrency control (OCC), especially on uncontended workloads. Nevertheless, based other protocols, such as hybrid OCC/ locking and variations multiversion (MVCC), are reported to outperform the best OCC systems, with increasing contention. This paper shows that implementation choice...

Robust detection of vehicle occupant posture is necessary for intelligent airbag deployment. This paper presents a vision-based method of estimating the size, posture and pose of the occupant. Utilizing raw reflectance and stereo disparity images, this algorithm presents a mixed-mode approach to finding occupant features. Extensive experiments show the robustness of this mixed-mode method in id...

Abstract One-class classification (OCC) is a fundamental problem in pattern recognition with wide range of applications. This work presents semi-supervised quantum machine learning algorithm for such problem, which we call variational one-class classifier (VQOCC). The suitable noisy intermediate-scale computing because the VQOCC trains fully-parameterized autoencoder normal dataset and does not...

BACKGROUND Increases in the incidence of squamous cell oropharyngeal cancer (OPC) have been reported from some countries, but have not been assessed in Australia or New Zealand. This study examines trends for squamous cell OPC and squamous cell oral cavity cancer (OCC) in two similarly sized populations, New Zealand and Queensland, Australia. METHODS Incidence data for 1982-2010 were obtained...

BACKGROUND Recent studies have demonstrated an elevated risk of oral cavity cancers (OCC) among socioeconomically deprived populations, whose increasing presence in suburban neighbourhoods poses unique challenges for equitable health service delivery. The majority of studies to date have utilised aspatial methods to identify OCC. In this study, we use high-resolution geographical analyses to id...