7,720 research outputs found
Beyond Caption To Narrative: Video Captioning With Multiple Sentences
Recent advances in image captioning task have led to increasing interests in
video captioning task. However, most works on video captioning are focused on
generating single input of aggregated features, which hardly deviates from
image captioning process and does not fully take advantage of dynamic contents
present in videos. We attempt to generate video captions that convey richer
contents by temporally segmenting the video with action localization,
generating multiple captions from multiple frames, and connecting them with
natural language processing techniques, in order to generate a story-like
caption. We show that our proposed method can generate captions that are richer
in contents and can compete with state-of-the-art method without explicitly
using video-level features as input.Comment: accepted to ICIP 201
Belief Propagation for Linear Programming
Belief Propagation (BP) is a popular, distributed heuristic for performing
MAP computations in Graphical Models. BP can be interpreted, from a variational
perspective, as minimizing the Bethe Free Energy (BFE). BP can also be used to
solve a special class of Linear Programming (LP) problems. For this class of
problems, MAP inference can be stated as an integer LP with an LP relaxation
that coincides with minimization of the BFE at ``zero temperature". We
generalize these prior results and establish a tight characterization of the LP
problems that can be formulated as an equivalent LP relaxation of MAP
inference. Moreover, we suggest an efficient, iterative annealing BP algorithm
for solving this broader class of LP problems. We demonstrate the algorithm's
performance on a set of weighted matching problems by using it as a cutting
plane method to solve a sequence of LPs tightened by adding ``blossom''
inequalities.Comment: To appear in ISIT 201
Transfer and Development Length of Prestressing Tendons in Full-Scale AASHTO Prestressed Concrete Girders Using Self-Consolidating Concrete
Self-consolidating concrete (SCC) is a highly workable concrete that flows through densely reinforced or
complex structural elements under its own weight. The benefits of using SCC include: a) Reducing labor costs
by eliminating the need for mechanical vibration, b) Improving constructability, c) Providing a virtually flawless
finish, d) Providing uniform and homogenous concrete, and e) Easily filling a complex shape formwork. Even
though SCC is comparable to conventional concrete in terms of strength, the comparability of its bond to steel is
less well-defined. This disparity of knowledge becomes more critical when using SCC in prestressed members
due to the impact that bond strength has on the transfer and development lengths of prestressing tendons.
The increasing interest among Illinois precasters in using SCC in bridge girders has motivated the Illinois
Department of Transportation (IDOT) and the Illinois Center for Transportation (ICT) to sponsor this synthesis
study, which reviews and combines information from literature discussing the impact of using SCC on the
transfer and development lengths of prestressing tendons in AASHTO bridge girders. The primary objectives of
this study include: (1) Utilizing the results of previous research to evaluate the effect of using SCC on the
transfer and development lengths of prestressing tendons and evaluate how SCC compares with conventional
concrete, (2) Investigating the feasibility of using SCC in AASHTO bridge girders without the need for changing
current design provisions recommended by the ACI and AASHTO, and (3) Providing IDOT with
recommendations regarding the application of SCC in prestressed bridge girders.
17. KeyICT-R27-36published or submitted for publicationis peer reviewe
Self-similar Properties of Decelerating Turbulent Jets
The flow in a decelerating turbulent round jet is investigated using direct numerical simulation. The simulations are initialised with a flow field from a statistically-stationary turbulent jet. Upon stopping the inflow, a deceleration wave passes through the jet, behind which the velocity field evolves towards a new statistically-unsteady self-similar state. Assumption of unsteady self-similar behaviour leads to analytical relations concern-ing the evolution of the centreline mean axial velocity and the shapes of the radial profiles of the velocity statistics. Consistency between these predictions and the simulation data supports the use of the assumption of self-similarity. The mean radial velocity is predicted to reverse in direction near to the jet centreline as the deceleration wave passes, contributing to an approximately three-fold increase in the normalised mass entrainment rate. The shape of the mean axial velocity profile undergoes a relatively small change across the deceleration transient, and this observation provides direct evidence in support of previous models that have assumed that the mean axial velocity profile, and in some cases also the jet spreading angle, remain approximately constant within unsteady jets.<br/
Size tunable visible and near-infrared photoluminescence from vertically etched silicon quantum dots
Corrugated etching techniques were used to fabricate size-tunable silicon quantum dots that luminesce under photoexcitation, tunable over the visible and near infrared. By using the fidelity of lithographic patterning and strain limited, self-terminating oxidation, uniform arrays of pillar containing stacked quantum dots as small as 2 nm were patterned. Furthermore, an array of pillars, with multiple similar sized quantum dots on each pillar, was fabricated and tested. The photoluminescence displayed a multiple, closely peaked emission spectra corresponding to quantum dots with a narrow size distribution. Similar structures can provide quantum confinement effects for future nanophotonic and nanoelectronic devices
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