13,025 research outputs found
BENEFIT AUDIT OF R&D INVESTMENT MANAGEMENT
Long time before , it is mostly blank about study of Benefit Audit Of R&D Investment Management for R&D incertitude of active in my country. This article be discuss by benefit audit of R&D investment management form three aspect, namely it is about testing basic Assumptions ămeasuring the cost of nonconformance and analyzing the complete colligate of R&D investment management .That is study for change of lag estate of R&D investment management in my country almost corporation. Key words: R&D, Investment Management, Benefit, Audi
Superfluid and magnetic states of an ultracold Bose gas with synthetic three-dimensional spin-orbit coupling in an optical lattice
We study ultracold bosonic atoms with the synthetic three-dimensional
spin-orbit (SO) coupling in a cubic optical lattice. In the superfluidity
phase, the lowest energy band exhibits one, two or four pairs of degenerate
single-particle ground states depending on the SO-coupling strengths, which can
give rise to the condensate states with spin-stripes for the weak atomic
interactions. In the deep Mott-insulator regime, the effective spin Hamiltonian
of the system combines three-dimensional Heisenberg exchange interactions,
anisotropy interactions and Dzyaloshinskii-Moriya interactions. Based on Monte
Carlo simulations, we numerically demonstrate that the resulting Hamiltonian
with an additional Zeeman field has a rich phase diagram with spiral, stripe,
vortex crystal, and especially Skyrmion crystal spin-textures in each xy-plane
layer. The obtained Skyrmion crystals can be tunable with square and hexagonal
symmetries in a columnar manner along the z axis, and moreover are stable
against the inter-layer spin-spin interactions in a large parameter region.Comment: 9 pages, 4 figures; title modified, references and discussions added;
accepted by PR
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
To imitate the ability of keeping learning of human, continual learning which
can learn from a never-ending data stream has attracted more interests
recently. In all settings, the online class incremental learning (CIL), where
incoming samples from data stream can be used only once, is more challenging
and can be encountered more frequently in real world. Actually, the CIL faces a
stability-plasticity dilemma, where the stability means the ability to preserve
old knowledge while the plasticity denotes the ability to incorporate new
knowledge. Although replay-based methods have shown exceptional promise, most
of them concentrate on the strategy for updating and retrieving memory to keep
stability at the expense of plasticity. To strike a preferable trade-off
between stability and plasticity, we propose a Adaptive Focus Shifting
algorithm (AFS), which dynamically adjusts focus to ambiguous samples and
non-target logits in model learning. Through a deep analysis of the
task-recency bias caused by class imbalance, we propose a revised focal loss to
mainly keep stability. By utilizing a new weight function, the revised focal
loss can pay more attention to current ambiguous samples, which can provide
more information of the classification boundary. To promote plasticity, we
introduce a virtual knowledge distillation. By designing a virtual teacher, it
assigns more attention to non-target classes, which can surmount overconfidence
and encourage model to focus on inter-class information. Extensive experiments
on three popular datasets for CIL have shown the effectiveness of AFS. The code
will be available at \url{https://github.com/czjghost/AFS}.Comment: 12 pages,15 figure
A High-Isolation Dual-Polarization Substrate-Integrated Fabry-PĂ©rot Cavity Antenna
A dual-polarization substrate-integrated Fabry-PĂ©rot cavity (SI-FPC) antenna is presented in this paper. The patch embedded in SI-FPC is excited with a near-field coupled feeding structure for V-polarization and with a slot-coupled feeding structure for H-polarization. The feeding structures are separated by a ground plane to improve the isolation between the ports. As a design example, an antenna operating at 10.0âGHz is fabricated and measured. A high degree of port isolation (<â40âdB) over the whole operating bandwidth (9.5â10.2âGHz) and good cross-polarization level (>25âdB) can be achieved
An Efficient Framework for Image Matching
AbstractThe goal of this paper is to present an efficient framework for non-rigid medical image matching. Previous non-rigid matching often produces unpredictable deformation field and unwanted stretching in the images. The as-rigid-as-possible nature of the Moving-LS technique thus makes it a new candidate by providing transformation that maintains the rigidity of structures for underlying physical reasons, while producing local deformations. In addition, it is very suitable for parallel computation, and the performance can be accelerated by multi-core processors through employment of multiple threads. The results demonstrate that the proposed matching method has good balance between accuracy and speed, and has potential in many medical applications
H.264/SVC parameter optimization based on quantization parameter, MGS fragmentation, and user bandwidth distribution
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