6,974 research outputs found
A study of heat transfer and inlet flow behavior in molten polymer systems
Two separate studies have been done in the present work: one to study the entrance effects in flow in molten polymer systems and the other to investigate the heat transfer to thermally softened flowing polymer.
The equipment for the entrance effect was designed to study the isothermal flow behavior of a polymer melt in the entrance region. The main object of this investigation was to find the entrance length for the melt to relax and to separate the pressure drop into viscous and elastic effect. Due to the failure in developing a proper pressure measuring device the experiment was not conclusive.
In addition to the entrance flow study the heat transfer to thermally softened flowing polymer was studied: A depression in temperature in the central region of the tube and a peak in temperature near the wall when heating the flowing polymer was observed. When cooling the polymer melt the effect of viscous dissipation was greatly reduced due to the alteration of the velocity profile heat transfer to the cold wall.
In general aspects the results of heat transfer study were in good agreement with the previous theoretical and experimental works
DeepStory: Video Story QA by Deep Embedded Memory Networks
Question-answering (QA) on video contents is a significant challenge for
achieving human-level intelligence as it involves both vision and language in
real-world settings. Here we demonstrate the possibility of an AI agent
performing video story QA by learning from a large amount of cartoon videos. We
develop a video-story learning model, i.e. Deep Embedded Memory Networks
(DEMN), to reconstruct stories from a joint scene-dialogue video stream using a
latent embedding space of observed data. The video stories are stored in a
long-term memory component. For a given question, an LSTM-based attention model
uses the long-term memory to recall the best question-story-answer triplet by
focusing on specific words containing key information. We trained the DEMN on a
novel QA dataset of children's cartoon video series, Pororo. The dataset
contains 16,066 scene-dialogue pairs of 20.5-hour videos, 27,328 fine-grained
sentences for scene description, and 8,913 story-related QA pairs. Our
experimental results show that the DEMN outperforms other QA models. This is
mainly due to 1) the reconstruction of video stories in a scene-dialogue
combined form that utilize the latent embedding and 2) attention. DEMN also
achieved state-of-the-art results on the MovieQA benchmark.Comment: 7 pages, accepted for IJCAI 201
Classical dynamics near the triple collision in a three-body Coulomb problem
We investigate the classical motion of three charged particles with both
attractive and repulsive interaction.The triple collision is a main source of
chaos in such three body Coulomb problems.By employing the McGehee scaling
technique, we analyse here for the first time in detail the three-body dynamics
near the triple collision in 3 degrees of freedom.We reveal surprisingly simple
dynamical patterns in large parts of the chaotic phase space. The underlying
degree of order in the form of approximate Markov partitions may help in
understanding the global structures observed in quantum spectra of two-electron
atoms.Comment: 4 pages, 3 figure
A Study to Verify the Practicality of Introducing an Arson Dog (K-9) Unit in Field Investigations
Combustion improvers are often found in acts of arson. Until recently, in fire investigations in Korea, these substances have been identified only by the olfactory sense of the fire inspectors or conventional gas detectors. These methods are neither efficient nor feasible in damaged buildings or large areas. Research on the canine sense of smell has shown that a dog can distinguish the remains of combusted hydrocarbon compounds, even in a large, open area. Field tests confirmed that arson dogs can find combustion improvers at fire sites in about five to 77 s. Therefore, this study verified the practicality of introducing arson dog units in field investigations of fire sites to identify combustion improvers sprayed for committing arson
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