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Reliable Methodology to FPGA Design Verification and Noise Analysis for Digital Lock-In Amplifiers 数字锁相放大器 FPGA 设计验证和噪声分析的可靠方法
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-18 DOI: 10.1109/LES.2024.3415651
Jose Alejandro Galaviz-Aguilar;Cesar Vargas-Rosales;Francisco Falcone
The lock-in amplifier (LIA) instruments are designed to provide signal conditioning for precision measurement systems to extract signals from extremely noisy environments. The digital LIAs design often requires a verification process to ensure hardware performance. Thus, hardware description language (HDL) with functional verification strategies offers a powerful tool to provide an field-programmable gate array (FPGA) integrated solution. In this letter, we propose a methodology of design and verification of all-digital LIA and an additive white Gaussian noise (AWGN) module able to measure extremely lower levels of signal-to-noise ratio (SNR) of $approx $ ${10}^{-{15}}$ or down to −37 dB while a wide reserve of spurious-free dynamic range (SFDR) up to 90 dB on FPGA is ensured. To this end, the designed and implemented FPGA framework for quick, accurate, and comprehensive characterization of a given digital LIA is used to leverage the capabilities of the design under controllable AWGN noise patterns stimulus.
锁相放大器(LIA)仪器的设计目的是为精密测量系统提供信号调节,以便从极度嘈杂的环境中提取信号。数字 LIA 设计通常需要验证过程,以确保硬件性能。因此,具有功能验证策略的硬件描述语言(HDL)为提供现场可编程门阵列(FPGA)集成解决方案提供了强有力的工具。在这封信中,我们提出了一种全数字 LIA 和加性白高斯噪声(AWGN)模块的设计和验证方法,该模块能够测量 ${10}^{-{15}}$ 或低至 -37 dB 的极低水平信噪比(SNR),同时确保 FPGA 具有高达 90 dB 的宽储备无杂散动态范围(SFDR)。为此,设计并实现了 FPGA 框架,用于快速、准确、全面地鉴定给定的数字 LIA,以充分利用设计在可控 AWGN 噪声模式刺激下的能力。
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引用次数: 0
Virtually Contiguous Memory Allocation in Embedded Systems: A Performance Analysis 嵌入式系统中的虚拟连续内存分配:性能分析
IF 1.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-18 DOI: 10.1109/les.2024.3416192
Yacine Hadjadj, Chakib Mustapha Anouar Zouaoui, Nasreddine Taleb
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引用次数: 0
76.5-Gbps Viterbi Decoder for Convolutional Codes on GPU GPU 上用于卷积码的 76.5-Gbps Viterbi 译码器
IF 1.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-18 DOI: 10.1109/les.2024.3416401
Zhanxian Liu, Chufan Liu, Haijun Zhang, Ling Zhao
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引用次数: 0
Wireless Tag Sensor Network for Apnea Detection and Posture Recognition Using LSTM 利用 LSTM 进行呼吸暂停检测和姿势识别的无线标签传感器网络
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-14 DOI: 10.1109/LES.2024.3410024
Rafik Saddaoui;Massine Gana;Hamid Hamiche;Mourad Laghrouche
We have developed a low-cost, high-accuracy, and energy-efficient wearable tag sensor for apnea detection. The sensor can detect different types of breathing problems by monitoring the small movements of the chest wall compartments during each respiration cycle. This tag sensor sends also apnea events, digital respiration rate, and patient posture data using an ultra high radio frequency identification (UHF RFID) reader. The reader is based on the recent AS3993 chip connected to a Raspberry Pi 4 controller, which acts as a local server and is connected to the cloud to share acquired data with the treating doctor. A sleep disorder detection and classification with several positions using a long short-term memory (LSTM) network algorithm is implemented in real-time on the embedded arm microcontroller STM32F407. The proposed apnea detection method exhibits low error, enabling it to meet clinical requirements. The accuracy of apnea events and position detection were triggered in over 93% of cases. We have also evaluated six different classification techniques optimized by considering the proposed feature extraction and regularization of classifier parameters.
我们开发了一种低成本,高精度,节能的可穿戴标签传感器,用于呼吸暂停检测。该传感器可以通过监测每个呼吸周期中胸壁隔室的微小运动来检测不同类型的呼吸问题。该标签传感器还使用超高射频识别(UHF RFID)阅读器发送呼吸暂停事件、数字呼吸率和患者姿势数据。读卡器基于最新的AS3993芯片,连接到树莓派4控制器,作为本地服务器,并连接到云,与治疗医生共享获取的数据。在嵌入式arm微控制器STM32F407上实现了一种基于LSTM网络算法的多位置睡眠障碍实时检测与分类。所提出的呼吸暂停检测方法误差小,能够满足临床要求。超过93%的病例触发了呼吸暂停事件和位置检测的准确性。我们还评估了六种不同的分类技术,通过考虑所提出的特征提取和分类器参数的正则化来优化。
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引用次数: 0
Evaluating NTT/INTT Implementation Styles for Post-Quantum Cryptography 评估后量子密码学的 NTT/INTT 实现风格
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-06 DOI: 10.1109/LES.2024.3410516
Malik Imran;Safiullah Khan;Ayesha Khalid;Ciara Rafferty;Yasir Ali Shah;Samuel Pagliarini;Muhammad Rashid;Máire O’Neill
Unifying the forward and inverse operations of the number theoretic transform (NTT) into a single hardware module is a common practice when designing polynomial coefficient multiplier accelerators as used in the post-quantum cryptographic algorithms. This letter experimentally evaluates that this design unification is not always advantageous. In this context, we present three NTT hardware architectures: 1) a forward NTT (FNTT) architecture; 2) an inverse NTT (INTT) architecture; and 3) a unified NTT (UNTT) architecture for computing the FNTT and INTT computations on a single design. We benchmark our throughput/area and energy/area evaluations on Xilinx Virtex-7 field-programmable gate array (FPGA) and 28-nm application-specific integrated circuit (ASIC) platforms. The standalone FNTT and INTT designs, on average on FPGA, exhibit $4.66times $ and $3.75times $ higher throughput/area and energy/area values, respectively, than the UNTT design. Similarly, the individual FNTT and INTT designs, on average on ASIC, achieve $1.25times $ and $1.09times $ higher throughput/area and energy/area values, respectively, compared to the UNTT design.
将数论变换(NTT)的正反操作统一到一个硬件模块中是设计后量子加密算法中使用的多项式系数乘法器加速器时的常见做法。这封信实验评估,这种设计统一并不总是有利的。在此背景下,我们提出了三种NTT硬件架构:1)前向NTT (FNTT)架构;2)逆NTT (INTT)架构;3)统一的NTT (UNTT)架构,用于在单个设计上计算FNTT和INTT计算。我们在Xilinx Virtex-7现场可编程门阵列(FPGA)和28nm专用集成电路(ASIC)平台上对吞吐量/面积和能量/面积进行基准评估。独立的FNTT和INTT设计在FPGA上的平均吞吐量/面积和能量/面积值分别比UNTT设计高4.66倍和3.75倍。同样,单个FNTT和INTT设计在ASIC上的平均吞吐量/面积和能量/面积值分别比UNTT设计高1.25倍和1.09倍。
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引用次数: 0
FEARLESS: A Federated Reinforcement Learning Orchestrator for Serverless Edge Swarms 无畏:无服务器边缘群的联合强化学习协调器
IF 1.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-06 DOI: 10.1109/les.2024.3410892
Christos Sad, Dimosthenis Masouros, Kostas Siozios
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引用次数: 0
Speed Record of AES-CTR and AES-ECB Bit-Sliced Implementation on GPUs 在 GPU 上实现 AES-CTR 和 AES-ECB 比特切分的速度记录
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-06-05 DOI: 10.1109/LES.2024.3409725
Wai-Kong Lee;Seog Chung Seo;Hwajeong Seo;Dong Cheon Kim;Seong Oun Hwang
The advanced encryption standard (AES) has been widely used to protect digital data in various applications, such as secure IoT communication, files encryption, and pseudorandom number generation. The efficient implementation of AES on parallel architecture, such as graphics processing unit (GPU), has attracted considerable interest over the past decade. These prior studies mainly implemented the AES electronics code book (ECB) and counter (CTR) mode using the table-based approach. In this brief, we set a new speed record of AES-ECB and AES-CTR on GPU based on the proposed bit-sliced implementation techniques. Our implementation achieved 2.6% (ECB) and 9% (CTR) faster than the state-of-the-art table-based implementation on a RTX3080 GPU. Our work evaluated on an embedded GPU (Jetson Orin Nano) can also achieve high throughput at 60 Gb/s, which is 1.9% (ECB) and 7% (CTR) faster than state-of-the-art.
高级加密标准AES (advanced encryption standard)已被广泛用于保护各种应用中的数字数据,如安全的物联网通信、文件加密和伪随机数生成。AES在并行架构(如图形处理单元(GPU))上的高效实现在过去十年中引起了相当大的兴趣。这些先前的研究主要使用基于表的方法实现AES电子码本(ECB)和计数器(CTR)模式。在本文中,我们基于所提出的位切片实现技术,在GPU上创造了AES-ECB和AES-CTR的新的速度记录。我们的实现比RTX3080 GPU上最先进的基于表的实现快2.6% (ECB)和9% (CTR)。我们在嵌入式GPU (Jetson Orin Nano)上评估的工作也可以实现60 Gb/s的高吞吐量,比最先进的速度快1.9% (ECB)和7% (CTR)。
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引用次数: 0
Marine Monitoring System Powered by Flexible Solar Panel 由柔性太阳能电池板供电的海洋监测系统
IF 1.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-05-09 DOI: 10.1109/les.2024.3396061
C. Antonio-Hernández, F. López-Huerta, J. Figueroa-Moo, L.N. Acquaroli, E. Osorio-de-la-Rosa
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引用次数: 0
LoRa, Sigfox, and NB-IoT: An Empirical Comparison for IoT LPWAN Technologies in the Agribusiness LoRa、Sigfox 和 NB-IoT:农业综合企业物联网 LPWAN 技术的经验比较
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-04-29 DOI: 10.1109/LES.2024.3394446
Juan Pablo Becoña;Marcel Grané;Matías Miguez;Alfredo Arnaud
In this letter, three battery-powered, custom Internet of Things (IoT) sensor nodes for the agribusiness, are presented: first, a Sigfox-based temperature-humidity index (THI) sensor to monitor the impact of heat stress in livestock, then a LoRaWAN version of an estrus detection collar for dairy farms, and finally a NB-IoT low-power A-GPS geolocation device for animals. Detailed power consumption measurements are presented and compared to highlight the benefits of each low-power wide-area network technology for the industry. The measured energy to transmit a single 10Byte payload packet was 90, 20, and 90 mJ for Sigfox, LoRa, and NB-IoT, respectively. With an adequate power management strategy, the nodes could operate up to 10 years in the case of the THI and estrus detector, and >1 yr in the case of the GPS tracker, powered by a single 1900 mA $cdot mathrm {h}~mathrm {LiSOCl}_{2}$ battery.
在这封信中,介绍了三个由电池供电的定制物联网(IoT)传感器节点:首先是一个基于 Sigfox 的温湿度指数(THI)传感器,用于监测牲畜热应激的影响;然后是一个 LoRaWAN 版本的发情检测项圈,用于奶牛场;最后是一个 NB-IoT 低功耗 A-GPS 动物地理定位设备。详细的功耗测量和比较突出了每种低功耗广域网技术在行业中的优势。Sigfox、LoRa 和 NB-IoT 传输单个 10 字节有效载荷数据包的实测能量分别为 90、20 和 90 mJ。采用适当的电源管理策略,在单节 1900 mA 电池供电的情况下,THI 和发情检测器的节点可运行长达 10 年,GPS 跟踪器的节点可运行 >1 年。
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引用次数: 0
Improving Netlist Transformation-Based Approximate Logic Synthesis Through Resynthesis 通过重合成改进基于网表转换的近似逻辑合成
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2024-04-18 DOI: 10.1109/LES.2024.3391220
Roger Morales-Monge;Jorge Castro-Godínez;Guilherme Paim
To address the challenges of efficient hardware design for error-tolerant applications, several techniques of applied approximate computing have been proposed. Pruning algorithms aim to approximate circuits with reduced design requirements at the cost of an acceptable degradation of their quality of result. In this letter, we present the effects of resynthesis, an iterative application of logic synthesis along with pruning algorithms, into a state-of-the-art approximate design flow, AxLS. Resynthesis strategy improves the approximation, achieving up to 70% area-power savings for the same error in the output, and reducing the number of iterations, and hence the time required to explore the design space in up to $30times $ , to obtain an approximated design.
为了应对容错应用的高效硬件设计挑战,人们提出了几种应用近似计算技术。剪枝算法旨在以可接受的结果质量下降为代价,用更低的设计要求实现近似电路。在这封信中,我们介绍了重合成(一种逻辑合成与剪枝算法的迭代应用)对最先进的近似设计流程 AxLS 的影响。重合成策略改善了近似效果,在输出误差相同的情况下,最多可节省 70% 的面积-功耗,并减少了迭代次数,从而减少了探索设计空间所需的时间,最多可减少 30 次。
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引用次数: 0
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IEEE Embedded Systems Letters
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