119 research outputs found
Situational Appropriateness in Global Politics: A Yijing Correlative Theory of Infinite Games.
Ph.D. Thesis. University of Hawaiʻi at Mānoa 2017
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A Bloom of Love? How Saffron Crocus Took Root in Japan
"Synapsis: A Health Humanities Journal" was founded in 2017 by Arden Hegele, a literary scholar, and Rishi Goyal, a physician. Its mission is to develop conversations among diverse people thinking about medical and humanistic ways of knowing ... as a “Department Without Walls” that connects scholars and thinkers from different spheres
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for Video
Frame Interpolation (VFI). Many recent flow-based VFI methods first estimate
the bi-directional optical flows, then scale and reverse them to approximate
intermediate flows, leading to artifacts on motion boundaries and complex
pipelines. RIFE uses a neural network named IFNet that can directly estimate
the intermediate flows from coarse-to-fine with much better speed. We design a
privileged distillation scheme for training IFNet, resulting in a large
performance improvement. RIFE does not rely on pre-trained optical flow models
and can support arbitrary-timestep frame interpolation with the temporal
encoding input. Experiments demonstrate that RIFE achieves state-of-the-art
performance on several public benchmarks. Compared with the popular SuperSlomo
and DAIN methods, RIFE is 4--27 times faster and produces better results. The
code is available at https://github.com/hzwer/arXiv2020-RIFE.Comment: 12 pages, 12 figures, preprin
Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm
As a typical self-paced brain-computer interface (BCI) system, the motor
imagery (MI) BCI has been widely applied in fields such as robot control,
stroke rehabilitation, and assistance for patients with stroke or spinal cord
injury. Many studies have focused on the traditional spatial filters obtained
through the common spatial pattern (CSP) method. However, the CSP method can
only obtain fixed spatial filters for specific input signals. Besides, CSP
method only focuses on the variance difference of two types of
electroencephalogram (EEG) signals, so the decoding ability of EEG signals is
limited. To obtain more effective spatial filters for better extraction of
spatial features that can improve classification to MI-EEG, this paper proposes
an adaptive spatial filter solving method based on particle swarm optimization
algorithm (PSO). A training and testing framework based on filter bank and
spatial filters (FBCSP-ASP) is designed for MI EEG signal classification.
Comparative experiments are conducted on two public datasets (2a and 2b) from
BCI competition IV, which show the outstanding average recognition accuracy of
FBCSP-ASP. The proposed method has achieved significant performance improvement
on MI-BCI. The classification accuracy of the proposed method has reached
74.61% and 81.19% on datasets 2a and 2b, respectively. Compared with the
baseline algorithm (FBCSP), the proposed algorithm improves 11.44% and 7.11% on
two datasets respectively. Furthermore, the analysis based on mutual
information, t-SNE and Shapley values further proves that ASP features have
excellent decoding ability for MI-EEG signals, and explains the improvement of
classification performance by the introduction of ASP features.Comment: 25 pages, 8 figure
A Dual-Band Dual-Polarized Base Station Antenna Using a Novel Feeding Structure for 5G Communications
A Novel Compact Quadruple-Band Indoor Base Station Antenna for 2G/3G/4G/5G Systems
This paper presents a quadruple-band indoor base station antenna for 2G/3G/4G/5G mobile communications, which covers multiple frequency bands of 0.8 - 0.96 GHz, 1.7 - 2.7 GHz, 3.3 - 3.8 GHz and 4.8 - 5.8 GHz and has a compact size with its overall dimensions of 204 × 175 × 39 mm 3 . The lower frequency bands over 0.8 - 0.96 GHz and 1.7 - 2.7 GHz are achieved through the combination of an asymmetrical dipole antenna and parasitic patches. A stepped-impedance feeding structure is used to improve the impedance matching of the dipole antenna over these two frequency bands. Meanwhile, the feeding structure also introduces an extra resonant frequency band of 3.3 - 3.8 GHz. By adding an additional small T-shaped patch, the higher resonant frequency band at 5 GHz is obtained. The parallel surrogate model-assisted hybrid differential evolution for antenna optimization (PSADEA) is employed to optimize the overall quadruple-band performance. We have fabricated and tested the final optimized antenna whose average gain is about 5.4 dBi at 0.8 - 0.96 GHz, 8.1 dBi at 1.7 - 2.7 GHz, 8.5 dBi at 3.3 - 3.8 GHz and 8.1 dBi at 4.8 - 5.0 GHz respectively. The proposed antenna has high efficiency and is of low cost and low profile, which makes it an excellent candidate for 2G/3G/4G/5G base station antenna systems
Use one-bit technique to measure the coherence in the time, frequency and space domain in a reverberation chamber
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