IEEE Embedded Systems Letters最新文献_第10页

A New Switching MVC Algorithm for Active Impulsive Noise Control 用于主动脉冲噪声控制的新型切换 MVC 算法

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-12-14 DOI: 10.1109/LES.2023.3343293

Xochitl Maya;Adrián E. Soto;Ángel A. Vázquez;Juan G. Avalos;Giovanny Sanchez;Juan C. Sánchez

引用次数: 0

An End-to-End Workflow to Efficiently Compress and Deploy DNN Classifiers on SoC/FPGA 在 SoC/FPGA 上高效压缩和部署 DNN 分类器的端到端工作流程

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-12-14 DOI: 10.1109/LES.2023.3343030

Romina Soledad Molina;Iván René Morales;Maria Liz Crespo;Veronica Gil Costa;Sergio Carrato;Giovanni Ramponi

引用次数: 0

Software Synthesis From High-Level Specification for Swarm Robotic Applications 针对蜂群机器人应用的高级规范软件合成

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-12-05 DOI: 10.1109/LES.2023.3339159

Woosuk Kang;EunJin Jeong;Kyonghwan Yoon;Soonhoi Ha

引用次数: 0

Design and Development of Deep Learning-Aided Vision Guidance System for AUV Homing Applications 设计和开发用于自动潜航器寻航应用的深度学习辅助视觉制导系统

IF 1.6 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-12-05 DOI: 10.1109/LES.2023.3339145

V. Bala Naga Jyothi;S. Jai Akash;G. Ananda Ramadass;N. Vedachalam;Hrishikesh Venkataraman

{"title":"Design and Development of Deep Learning-Aided Vision Guidance System for AUV Homing Applications","authors":"V. Bala Naga Jyothi;S. Jai Akash;G. Ananda Ramadass;N. Vedachalam;Hrishikesh Venkataraman","doi":"10.1109/LES.2023.3339145","DOIUrl":"https://doi.org/10.1109/LES.2023.3339145","url":null,"abstract":"In the current subsea industry scenario, autonomous underwater vehicles (AUVs) are widely used for expeditions and explorations. However, the mission duration is limited due to the limitations in the battery capacity. To increase the endurance, there is a need for a submerged docking station (DS) to charge the battery, also to update the next mission profile. In this letter, deep learning (DL) technique aided short-range vision guidance is envisaged for a reliable and precise AUV homing operation. Intelligent control algorithms with an efficient DL-based you only look once (YOLO) v5-image processing techniques are used for DS detection and tracking and deployed in an edge computer integrated into AUV prototype. The developed illuminated DS and AUV prototype with high-definition camera has been demonstrated in test tank at depth of 2 m. An analysis was conducted on the DS data set, which comprised 132 images of clear and turbid water, 13 were designated for testing, 40 for validation, and 79 for training purposes. The results were observed that the probability of detecting the DS is 95%, detection range is 5 m, the probability of homing toward the DS is CEP 90 with the position error of 5% in less-turbid waters and in high-turbid waters, 60% is the probability of DS detection with position error up to 25%, detectable range is 1 m. The proposed embedded hardware is extremely useful for underwater reliable homing applications.","PeriodicalId":56143,"journal":{"name":"IEEE Embedded Systems Letters","volume":"16 2","pages":"198-201"},"PeriodicalIF":1.6,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141182041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ML-Based Trojan Classification: Repercussions of Toxic Boundary Nets 基于 ML 的木马分类：有毒边界网的影响

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-12-04 DOI: 10.1109/LES.2023.3338543

Saleh Mulhem;Felix Muuss;Christian Ewert;Rainer Buchty;Mladen Berekovic

引用次数: 0

Cost-Effective Indoor Surveillance System With Multihop Router Network 利用多跳路由器网络的经济型室内监控系统

IF 1.6 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-12-01 DOI: 10.1109/LES.2023.3337432

Debajyoti Biswas;Suvankar Barai

引用次数: 0

IEEE Embedded Systems Letters Publication Information IEEE嵌入式系统通讯出版信息

IF 1.6 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-11-28 DOI: 10.1109/LES.2023.3328491

引用次数: 0

Multistage Multirate Filterbank for FPGA Resource Optimization 用于 FPGA 资源优化的多级多态滤波器库

IF 1.7 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-11-28 DOI: 10.1109/LES.2023.3337323

L. H. Arnaldi

引用次数: 0

Detecting Vulnerability in Hardware Description Languages: Opcode Language Processing 检测硬件描述语言中的漏洞：操作码语言处理

IF 1.6 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-11-21 DOI: 10.1109/LES.2023.3334728

Alaaddin Goktug Ayar;Abdullah Sahruri;Sercan Aygun;Mehran Shoushtari Moghadam;M. Hassan Najafi;Martin Margala

{"title":"Detecting Vulnerability in Hardware Description Languages: Opcode Language Processing","authors":"Alaaddin Goktug Ayar;Abdullah Sahruri;Sercan Aygun;Mehran Shoushtari Moghadam;M. Hassan Najafi;Martin Margala","doi":"10.1109/LES.2023.3334728","DOIUrl":"https://doi.org/10.1109/LES.2023.3334728","url":null,"abstract":"Detecting vulnerable code blocks has become a highly popular topic in computer-aided design, especially with the advancement of natural language processing (NLP). Analyzing hardware description languages (\u0000<monospace>HDLs</monospace>\u0000), such as Verilog, involves dealing with lengthy code. This letter introduces an innovative identification of attack-vulnerable hardware by the use of \u0000<monospace>opcode</monospace>\u0000 processing. Leveraging the advantage of architecturally defined \u0000<monospace>opcodes</monospace>\u0000 and expressing all operations at the beginning of each code line, the word processing problem is efficiently transformed into \u0000<monospace>opcode</monospace>\u0000 processing. This research converts a benchmark dataset into an intermediary code stack, subsequently classifying secure and fragile codes using NLP techniques. The results reveal a framework that achieves up to 94% accuracy when employing sophisticated convolutional neural networks (CNNs) architecture with extra embedding layers. Thus, it provides a means for users to quickly verify the vulnerability of their \u0000<monospace>HDL</monospace>\u0000 code by inspecting a supervised learning model trained on the predefined vulnerabilities. It also supports the superior efficacy of \u0000<monospace>opcode</monospace>\u0000-based processing in Trojan detection by analyzing the outcomes derived from a model trained using the \u0000<monospace>HDL</monospace>\u0000 dataset.","PeriodicalId":56143,"journal":{"name":"IEEE Embedded Systems Letters","volume":"16 2","pages":"222-226"},"PeriodicalIF":1.6,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DSCAM: Latency-Guaranteed and High-Capacity Content-Addressable Memory on FPGAs DSCAM：FPGA 上的延迟保证和大容量内容可寻址存储器

IF 1.6 4区计算机科学

IEEE Embedded Systems Letters Pub Date : 2023-11-20 DOI: 10.1109/LES.2023.3334288

Shervin Vakili;Amirhossein Zarei

引用次数: 0