6,248 research outputs found
Unipotent representations of real classical groups
Let be a complex orthogonal or complex symplectic group, and let
be a real form of , namely is a real orthogonal group, a
real symplectic group, a quaternionic orthogonal group, or a quaternionic
symplectic group. For a fixed parity , we
define a set of nilpotent
-orbits in (the Lie algebra of ). When
is the parity of the dimension of the standard module of , this is the set of the stably trivial special nilpotent orbits, which
includes all rigid special nilpotent orbits. For each , we construct all unipotent
representations of (or its metaplectic cover when is a real symplectic
group and is odd) attached to via the method of theta
lifting and show in particular that they are unitary
Heat Transfer by Numerical Solution for a Class of Radiating Fins
It has long been known that the heat transfer from a solid body to an ambient fluid can be increased by increasing the surface area of the solid body. Extended surfaces, or fins, are indispensable for compact heat exchangers. Geometrically, fins may be classified as straight fins, annular fins, and rod fins or spines. In most applications of fins, a fluid is circulating inside the fin-supporting pipe while the outside is exposed to another ambient fluid. The purpose of fin analysis is to find the temperature distribution in the fin and the heat transfer from the fin to the ambient fluid, i.e., the fin efficiency, which is the basis of comparing various fin designs. Conduction is the heat transfer mechanism in the fin and convection and radiation occur at the surface. The amount of radiation heat transfer, in accordance with Stefan-Boltzmann\u27s law, is proportional to the difference between the fourth power of the temperature of the fin and the ambient fluid. The fourth-power term makes the fin equation non-linear and difficult to solve analytically. Earlier researchers linearized the radiation term by replacing the fourth power law by an equivalent convection coefficient times the difference of the temperature in order to obtain an analytical solution. (See more in text
MeshAdv: Adversarial Meshes for Visual Recognition
Highly expressive models such as deep neural networks (DNNs) have been widely
applied to various applications. However, recent studies show that DNNs are
vulnerable to adversarial examples, which are carefully crafted inputs aiming
to mislead the predictions. Currently, the majority of these studies have
focused on perturbation added to image pixels, while such manipulation is not
physically realistic. Some works have tried to overcome this limitation by
attaching printable 2D patches or painting patterns onto surfaces, but can be
potentially defended because 3D shape features are intact. In this paper, we
propose meshAdv to generate "adversarial 3D meshes" from objects that have rich
shape features but minimal textural variation. To manipulate the shape or
texture of the objects, we make use of a differentiable renderer to compute
accurate shading on the shape and propagate the gradient. Extensive experiments
show that the generated 3D meshes are effective in attacking both classifiers
and object detectors. We evaluate the attack under different viewpoints. In
addition, we design a pipeline to perform black-box attack on a photorealistic
renderer with unknown rendering parameters.Comment: Published in IEEE CVPR201
Mass effect in polarization investigation at BEPC/BES and the B-factory
We consider the annihilation process of an electron-positron pair into a pair
of heavier fermions when the initial electron and position beams are polarized.
By calculating the polarization of the final-state particles, we discuss in
detail the effect due to the produced particle masses in the -charm
energy region at BEPC/BES, and also compare the effect with that at the
B-factory. Such a study is useful for the design of possible polarization
investigation at the BEPC/BES facility and the B-factory.Comment: 7 latex pages, 4 figure
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