10,585 research outputs found
Application of Multi-Agent Systems and Simulation to Harbor Supply Chain: The Order Fulfillment Perspective
Singlet Fermionic Dark Matter with Dark
We present a fermionic dark matter model mediated by the hidden gauge boson.
We assume the QED-like hidden sector which consists of a Dirac fermion and
U(1) gauge symmetry, and introduce an additional scalar electroweak doublet
field with the U(1) charge as a mediator. The hidden U(1) symmetry is
spontaneously broken by the electroweak symmetry breaking and there exists a
massive extra neutral gauge boson in this model which is the mediator between
the hidden and visible sectors. Due to the U(1) charge, the additional
scalar doublet does not couple to the Standard Model fermions, which leads to
the Higgs sector of type I two Higgs doublet model. The new gauge boson couples
to the Standard Model fermions with couplings proportional to those of the
ordinary boson but very suppressed, thus we call it the dark boson. We
study the phenomenology of the dark boson and the Higgs sector, and show
the hidden fermion can be the dark matter candidate.Comment: 10 pages, 3 figure
Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
As we move closer to real-world AI systems, AI agents must be able to deal
with multiparty (group) conversations. Recognizing and interpreting multiparty
behaviors is challenging, as the system must recognize individual behavioral
cues, deal with the complexity of multiple streams of data from multiple
people, and recognize the subtle contingent social exchanges that take place
amongst group members. To tackle this challenge, we propose the
Multiparty-Transformer (Multipar-T), a transformer model for multiparty
behavior modeling. The core component of our proposed approach is the
Crossperson Attention, which is specifically designed to detect contingent
behavior between pairs of people. We verify the effectiveness of Multipar-T on
a publicly available video-based group engagement detection benchmark, where it
outperforms state-of-the-art approaches in average F-1 scores by 5.2% and
individual class F-1 scores by up to 10.0%. Through qualitative analysis, we
show that our Crossperson Attention module is able to discover contingent
behavior.Comment: 7 pages, 4 figures, IJCA
Development of Pd Alloy Hydrogen Separation Membranes with Dense/Porous Hybrid Structure for High Hydrogen Perm-Selectivity
For the commercial applications of hydrogen separation membranes, both high hydrogen selectivity and permeability (i.e., perm-selectivity) are required. However, it has been difficult to fabricate thin, dense Pd alloy composite membranes on porous metal support that have a pore-free surface and an open structure at the interface between the Pd alloy films and the metal support in order to obtain the required properties simultaneously. In this study, we fabricated Pd alloy hydrogen separation membranes with dense/porous hybrid structure for high hydrogen perm-selectivity. The hydrogen selectivity of this membrane increased owing to the dense and pore-free microstructure of the membrane surface. The hydrogen permeation flux also was remarkably improved by the formation of an open microstructure with numerous open voids at the interface and by an effective reduction in the membrane thickness as a result of the porous structure formed within the Pd alloy films
- …