Electronics Letters最新文献_第9页

256-level honey memristor-based in-memory neuromorphic system 基于 256 级蜜糖忆阻器的内存神经形态系统

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-13 DOI: 10.1049/ell2.70029

Harshvardhan Uppaluru, Zoe Templin, Mohammed Rafeeq Khan, Md Omar Faruque, Feng Zhao, Jinhui Wang

{"title":"256-level honey memristor-based in-memory neuromorphic system","authors":"Harshvardhan Uppaluru, Zoe Templin, Mohammed Rafeeq Khan, Md Omar Faruque, Feng Zhao, Jinhui Wang","doi":"10.1049/ell2.70029","DOIUrl":"https://doi.org/10.1049/ell2.70029","url":null,"abstract":"Promising synaptic behaviour has been exhibited by memristors based on natural organic materials. Such memristor-based neuromorphic systems offer notable benefits, including environmental sustainability, low production and disposal costs, non-volatile storage capability, and bio/Complementary Metal-Oxide-Semiconductor (CMOS) compatibility. Here, a 256-level honey memristor-based neuromorphic system is experimentally evaluated for image recognition. In detail, first, 256-level honey memristors are manufactured and tested based on in-house technology; next, the non-linear characteristics and inherent variation of honey memristor devices, which lead to imprecise weight updates and limit the inference accuracy, are investigated. Experimental results indicate that the inference accuracy of the 256-level honey memristor-based neuromorphic system is greater than 88% without cycle-to-cycle variations and 87% with cycle-to-cycle variations for different optimization algorithms. The overall performance of optimization algorithms with and without variation is compared in terms of energy and latency, where the momentum algorithm consistently outperforms the rest of the algorithms. This 256-level honey memristor is a promising alternative enabling sustainable neuromorphic systems, encouraging further research into natural organic materials for neuromorphic computing.","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 17","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis. M3NetFlow：用于综合多原子数据分析的新型多尺度多跳图人工智能模型。

4区工程技术

Electronics Letters Pub Date : 2024-09-11 DOI: 10.1101/2023.06.15.545130

Heming Zhang, S Peter Goedegebuure, Li Ding, David DeNardo, Ryan C Fields, Yixin Chen, Philip Payne, Fuhai Li

{"title":"M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis.","authors":"Heming Zhang, S Peter Goedegebuure, Li Ding, David DeNardo, Ryan C Fields, Yixin Chen, Philip Payne, Fuhai Li","doi":"10.1101/2023.06.15.545130","DOIUrl":"10.1101/2023.06.15.545130","url":null,"abstract":"Multi-omic data-driven studies, characterizing complex disease signaling system from multiple levels, are at the forefront of precision medicine and healthcare. The integration and interpretation of multi-omic data are essential for identifying molecular targets and deciphering core signaling pathways of complex diseases. However, it remains an open problem due the large number of biomarkers and complex interactions among them. In this study, we propose a novel Multi-scale Multi-hop Multi-omic graph model, M3NetFlow, to facilitate generic multi-omic data analysis to rank targets and infer core signaling flows/pathways. To evaluate M3NetFlow, we applied it in two independent multi-omic case studies: 1) uncovering mechanisms of synergistic drug combination response (defined as anchor-target guided learning), and 2) identifying biomarkers and pathways of Alzheimer 's disease (AD). The evaluation and comparison results showed M3NetFlow achieves the best prediction accuracy (accurate), and identifies a set of essential targets and core signaling pathways (interpretable). The model can be directly applied to other multi-omic data-driven studies. The code is publicly accessible at: https://github.com/FuhaiLiAiLab/M3NetFlow.","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11398409/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80591026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A lightweight transformer with linear self-attention for defect recognition 用于缺陷识别的线性自保持轻型变压器

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-10 DOI: 10.1049/ell2.13292

Yuwen Zhai, Xinyu Li, Liang Gao, Yiping Gao

引用次数: 0

Efficient visual transformer transferring from neural ODE perspective 从神经 ODE 角度看高效视觉转换器的转移

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-10 DOI: 10.1049/ell2.70015

Hao Niu, Fengming Luo, Bo Yuan, Yi Zhang, Jianyong Wang

{"title":"Efficient visual transformer transferring from neural ODE perspective","authors":"Hao Niu, Fengming Luo, Bo Yuan, Yi Zhang, Jianyong Wang","doi":"10.1049/ell2.70015","DOIUrl":"https://doi.org/10.1049/ell2.70015","url":null,"abstract":"Recently, the Visual Image Transformer (ViT) has revolutionized various domains in computer vision. The transfer of pre-trained ViT models on large-scale datasets has proven to be a promising method for downstream tasks. However, traditional transfer methods introduce numerous additional parameters in transformer blocks, posing new challenges in learning downstream tasks. This article proposes an efficient transfer method from the perspective of neural Ordinary Differential Equations (ODEs) to address this issue. On the one hand, the residual connections in the transformer layers can be interpreted as the numerical integration of differential equations. Therefore, the transformer block can be described as two explicit Euler method equations. By dynamically learning the step size in the explicit Euler equation, a highly lightweight method for transferring the transformer block is obtained. On the other hand, a new learnable neural memory ODE block is proposed by taking inspiration from the self-inhibition mechanism in neural systems. It increases the diversity of dynamical behaviours of the neurons to transfer the head block efficiently and enhances non-linearity simultaneously. Experimental results in image classification demonstrate that the proposed approach can effectively transfer ViT models and outperform state-of-the-art methods.","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 17","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sparse representation for massive MIMO satellite channel based on joint dictionary learning 基于联合字典学习的大规模 MIMO 卫星信道稀疏表示法

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-08 DOI: 10.1049/ell2.70021

Qing yang Guan, Shuang Wu

{"title":"Sparse representation for massive MIMO satellite channel based on joint dictionary learning","authors":"Qing yang Guan, Shuang Wu","doi":"10.1049/ell2.70021","DOIUrl":"https://doi.org/10.1049/ell2.70021","url":null,"abstract":"A constrained joint dictionary learning (CJDL) algorithm for high-precision channel representation in massive multiple input multiple output (MIMO) satellite systems is proposed. Furthermore, taking into account the angular reciprocity of massive MIMO satellite systems, joint dictionary learning can establish a common support basis for both uplink and downlink. Previous deterministic dictionary has utilized deterministic basis, such as discrete Fourier transform (DFT) or orthogonal DFT (ODFT) basis, which tend to represent noise interference as part of channel characteristics. Furthermore, this deterministic dictionary is not able to adapt to dynamic communication environments. However, dictionary learning has shown the potential to significantly improve the accuracy of channel representation. Nevertheless, current research on training dictionary lacks analysis regarding constraints and boundary requirements, resulting in a suboptimal basis. To address this issue, conditional constraints associated with joint dictionary for channel representation are analysed. To screen for optimal basis, the joint dictionary is subject to constraints, including uplink and downlink constraints. Furthermore, the authors aim to quantify the maximum boundary of joint dictionary learning. Additionally, a joint dictionary updating method with singular value decomposition under constraint boundary conditions is proposed. Simulation results demonstrate that the proposed CJDL algorithm provides a more accurate and robust channel representation.","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 17","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-complexity algorithms for generating frequency hopping sequences with good aperiodic hamming correlation property 生成具有良好非周期性汉明相关特性的跳频序列的低复杂度算法

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-08 DOI: 10.1049/ell2.70006

Shifu Yang, Zhe Xu, Kaichuang Jiang, Xing Liu

引用次数: 0

Wireless quantum optical communications with uncorrelated scattering multipath reception 具有非相关散射多径接收功能的无线量子光通信

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-08 DOI: 10.1049/ell2.70022

Peter Jung, Guido Horst Bruck

引用次数: 0

A novel security-based adaptive reconfigurable intelligent surfaces assisted clustering strategy 基于安全的新型自适应可重构智能表面辅助聚类策略

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-04 DOI: 10.1049/ell2.70008

Yue Tian, Xiaofan Zheng

{"title":"A novel security-based adaptive reconfigurable intelligent surfaces assisted clustering strategy","authors":"Yue Tian, Xiaofan Zheng","doi":"10.1049/ell2.70008","DOIUrl":"https://doi.org/10.1049/ell2.70008","url":null,"abstract":"Reconfigurable intelligent surfaces (RISs) have attracted a great deal of interest due to the potential contributions to the next-generation wireless networks. This letter proposes an enhancement to the physical layer security (PLS) of a multi-hop RIS-assisted underwater optical wireless communication (UOWC) system. Owing to the complexity of the underwater environment, a security-based adaptive RIS (SA-RIS) clustering strategy, which aims to reflect optical signals among clusters to improve the performance of the overall system, is evaluated. By combining the underwater channel model, the closed-form expressions of probability density function (PDF) and cumulative distribution function (CDF) are derived. Moreover, by increasing the numbers of RIS clusters, the performance metrics such as secrecy outage probability (SOP) and average secrecy capacity (ASC) are evaluated under different scenarios. The obtained results demonstrated that, in contrast to the case without preventing the eavesdropper, the proposed strategy in evasion scenarios could improve the SOP significantly. It can be concluded that the system secrecy performances are further improved by assigning different RIS clusters with proper channel quality.","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 17","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tomographic SAR imaging via generative adversarial neural network with cascaded U-Net architecture 采用级联 U-Net 架构的生成对抗神经网络进行断层合成孔径雷达成像

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-04 DOI: 10.1049/ell2.13211

Jie Li, Kun Wang, Zhiyuan Li, Bingchen Zhang, Yirong Wu

引用次数: 0

STFormer: Spatio-temporal former for hand–object interaction recognition from egocentric RGB video STFormer：用于从自我中心 RGB 视频中识别手与物体交互的时空前器

IF 0.7 4区工程技术

Electronics Letters Pub Date : 2024-09-04 DOI: 10.1049/ell2.70010

Jiao Liang, Xihan Wang, Jiayi Yang, Quanli Gao

引用次数: 0