Birefringence of GaN/AlGaN optical waveguides

This is the published version. Copyright © 2003 American Institute of PhysicsWe have experimentally studied the birefringence of wurtzite GaNgrown on a sapphire substrate. The measurements were done with single-mode GaN/AlGaN planar optical waveguides on c-plane grownheterostructure films. The refractive indices were found to be different for signal optical field perpendicular or parallel to the crystal c axis (n⊥≠n∥). More importantly, we found an approximately 10% change in index difference Δn=n∥−n⊥ with variation of the waveguide orientation in the a–b plane, and a 60° periodicity was clearly observed. This is attributed to the hexagonal structure of nitride materials

An Anchor-Point Based Image-Model for Room Impulse Response Simulation with Directional Source Radiation and Sensor Directivity Patterns

The image model method has been widely used to simulate room impulse responses and the endeavor to adapt this method to different applications has also piqued great interest over the last few decades. This paper attempts to extend the image model method and develops an anchor-point-image-model (APIM) approach as a solution for simulating impulse responses by including both the source radiation and sensor directivity patterns. To determine the orientations of all the virtual sources, anchor points are introduced to real sources, which subsequently lead to the determination of the orientations of the virtual sources. An algorithm is developed to generate room impulse responses with APIM by taking into account the directional pattern functions, factional time delays, as well as the computational complexity. The developed model and algorithms can be used in various acoustic problems to simulate room acoustics and improve and evaluate processing algorithms.Comment: 19 pages, 8 figure

GaN-based waveguide devices for long-wavelength optical communications

This is the published version. Copyright © 2003 American Institute of PhysicsRefractive indices of AlxGa1−xN with different Al concentrations have been measured in infrared wavelength regions. Single-mode ridged optical waveguidedevices using GaN/AlGaN heterostructures have been designed, fabricated, and characterized for operation in 1550 nm wavelength window. The feasibility of developing photonic integrated circuits based on III-nitride wide-band-gap semiconductors for fiber-optical communications has been discussed

Efficient Pyramid Channel Attention Network for Pathological Myopia Detection

Pathological myopia (PM) is the leading ocular disease for impaired vision and blindness worldwide. The key to detecting PM as early as possible is to detect informative features in global and local lesion regions, such as fundus tessellation, atrophy and maculopathy. However, applying classical convolutional neural networks (CNNs) to efficiently highlight global and local lesion context information in feature maps is quite challenging. To tackle this issue, we aim to fully leverage the potential of global and local lesion information with attention module design. Based on this, we propose an efficient pyramid channel attention (EPCA) module, which dynamically explores the relative importance of global and local lesion context information in feature maps. Then we combine the EPCA module with the backbone network to construct EPCA-Net for automatic PM detection based on fundus images. In addition, we construct a PM dataset termed PM-fundus by collecting fundus images of PM from publicly available datasets (e.g., the PALM dataset and ODIR dataset). The comprehensive experiments are conducted on three datasets, demonstrating that our EPCA-Net outperforms state-of-the-art methods in detecting PM. Furthermore, motivated by the recent pretraining-and-finetuning paradigm, we attempt to adapt pre-trained natural image models for PM detection by freezing them and treating the EPCA module and other attention modules as the adapters. The results show that our method with the pretraining-and-finetuning paradigm achieves competitive performance through comparisons to part of methods with traditional fine-tuning methods with fewer tunable parameters.Comment: 12 page