Experimental validation of a distortion removal technique for multi-chip free-space optical shuffle interconnections is presented. The free-space fabric links dense two-dimensional arrays of vertical cavity surface emitting laser(s) (VCSEL)(s) and detectors and must achieve full field registration on the order of 10 microns across the entire array. The new hybrid micro-macro optical concept realizes the required high-registration accuracy by simultaneously eliminating distortion in each of the interleaved off-axis imaging systems that comprise the complete fabric. This is achieved by exploiting the typically low numerical aperture of VCSELs. Individually tailored beam-deflecting micro-optical elements were used to create symmetry about a central aperture for VCSEL beams in the optical system. Experiments were developed to quantify the registration accuracy, the VCSEL images, and the associated spot sizes. The experimental results show that beam steering can be implemented to remove distortion in off-axis free-space optical-interconnection systems.

Download full-text PDF

Source
http://dx.doi.org/10.1364/ao.41.007480DOI Listing

Publication Analysis

Top Keywords

experimental validation
8
hybrid micro-macro
8
micro-macro optical
8
distortion removal
8
free-space optical-interconnection
8
optical-interconnection systems
8
validation hybrid
4
optical
4
optical method
4
distortion
4

Similar Publications

Robust text-dependent speaker verification system using gender aware Siamese-Triplet Deep Neural Network.

Network

December 2024

Department of Electronics and Communication Engineering, Dronacharya Group of Institutions, Greater Noida, UP, India.

Speaker verification in text-dependent scenarios is critical for high-security applications but faces challenges such as voice quality variations, linguistic diversity, and gender-related pitch differences, which affect authentication accuracy. This paper introduces a Gender-Aware Siamese-Triplet Network-Deep Neural Network (ST-DNN) architecture to address these challenges. The Gender-Aware Network utilizes Convolutional 2D layers with ReLU activation for initial feature extraction, followed by multi-fusion dense skip connections and batch normalization to integrate features across different depths, enhancing discrimination between male and female speakers.

View Article and Find Full Text PDF

The Zika virus (ZIKV), an arbovirus within the Flavivirus genus, is associated with severe neurological complications, including Guillain-Barré syndrome in affected individuals and microcephaly in infants born to infected mothers. With no approved vaccines or antiviral treatments available, there is an urgent need for effective therapeutic options. This study aimed to identify new natural compounds with inhibitory potential against the NS2B-NS3 protease (PDB ID: 5LC0), an essential enzyme in viral replication.

View Article and Find Full Text PDF

Study on jet dynamic impact performance under the influence of standoff.

Sci Rep

December 2024

School of Mechanical and Electrical Engineering, North University of China, Taiyuan, 030051, Shanxi, China.

Due to the sensitivity of the shaped charge jet to standoff and the complexity of its impact under lateral disturbances, this study aims to investigate the dynamic impact evolution of the jet influenced by standoff and lateral disturbances. A finite element model for the dynamic impact of shaped charge jets was established. Dynamic impact experiments were designed and conducted to validate the effectiveness of the numerical simulations.

View Article and Find Full Text PDF

Identification and validation of up-regulated TNFAIP6 in osteoarthritis with type 2 diabetes mellitus.

Sci Rep

December 2024

Division of Joint Surgery and Sports Medicine, Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.

Lines of evidence have indicated that type 2 diabetes mellitus (T2DM) is an independent risk factor for osteoarthritis (OA) progression. However, the study focused on the relationship between T2DM and OA at the transcriptional level remains empty. We downloaded OA- and T2DM-related bulk RNA-sequencing and single-cell RNA sequencing data from the Gene Expression Omnibus (GEO) dataset.

View Article and Find Full Text PDF

Moving beyond word frequency based on tally counting: AI-generated familiarity estimates of words and phrases are an interesting additional index of language knowledge.

Behav Res Methods

December 2024

ETSI de Telecomunicación, Universidad Politécnica de Madrid, Avenida Complutense, 30, 28040, Madrid, Spain.

This study investigates the potential of large language models (LLMs) to estimate the familiarity of words and multi-word expressions (MWEs). We validated LLM estimates for isolated words using existing human familiarity ratings and found strong correlations. LLM familiarity estimates performed even better in predicting lexical decision and naming performance in megastudies than the best available word frequency measures.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!