The interactions of quarks and gluons are strong in the non-perturbative regime. equation state (EoS) a strongly-interacting quantum chromodynamics (QCD) medium can only be studied using first-principle lattice QCD calculations. However, complicated EoS reproduced simple statistical formula by treating as free parton gas whose fundamental degrees freedom dressed called quasi-particles, with tem...

A new era of computers with solid state memory (SSDs) chips providing petabytes of storage area is coming. Nonetheless database systems (DBSs) were designed presupposing that databases are persisted in hard disk drives (HDDs) for storing databases. Over the years, DBS components have been optimized based on performance characteristics of HDDs. Simply replacing HDDs by faster SSDs may not fully ...

Program state-space exploration is central to software security, testing, and verification. In this paper, we propose a novel technique for state-space exploration of software that maintains an ongoing interaction with its environment. Our technique uses a combination of symbolic and concrete execution to build an abstract model of the analyzed application, in the form of a finite-state automat...

This paper proposes a new method for calculating joint-state posteriors of mixed-audio features using deep neural networks to be used in factorial speech processing models. The joint-state posterior information is required in factorial models to perform joint-decoding. The novelty of this work is its architecture which enables the network to infer joint-state posteriors from the pairs of state ...

The development of two new classes of commercial underwater robotic vehicles – deep diving work-class remotely operated vehicles and survey-class autonomous vehicles – is being driven by the needs of deep water oil production and deep ocean telecommunication cable operations. This paper presents a survey of the present state and future directions of commercial underwater robotics, examines prin...

Deep neural networks have advanced the state of the art in named entity recognition. However, under typical training procedures, advantages over classical methods emerge only with large datasets. As a result, deep learning is employed only when large public datasets or a large budget for manually labeling data is available. In this work, we show that by combining deep learning with active learn...

In awake rats a single recurrent larger tidal volume (deep breaths) occurs at regular intervals, followed by oscillations in arterial pressure and heart rate. In the present study we recorded the changes in blood pressure, heart rate and ventilation during the wakefulness-sleep cycle identified by electrocorticographic records in order to determine whether the deep breaths and cardiovascular os...

In recent years, deep neural networks have yielded state-of-the-art performance on several tasks. Although some recent works have focused on combining deep learning with recommendation, we highlight three issues of existing works. First, most works perform deep content feature learning and resort to matrix factorization, which cannot effectively model the highly complex user-item interaction fu...