2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)最新文献_第8页

A Memristive Circuit for Gait Pattern Classification Based on Self-Organized Axon Growth 基于自组织轴突生长的步态模式分类记忆电路

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531806

Dennis Michaelis, K. Ochs, S. Jenderny

引用次数: 1

Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators 基于代理模型的深度神经网络硬件加速器协同优化

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531708

Hendrik Wöhrle, M. D. L. Alvarez, Fabian Schlenke, A. Walsemann, M. Karagounis, F. Kirchner

{"title":"Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators","authors":"Hendrik Wöhrle, M. D. L. Alvarez, Fabian Schlenke, A. Walsemann, M. Karagounis, F. Kirchner","doi":"10.1109/MWSCAS47672.2021.9531708","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531708","url":null,"abstract":"In this paper, we present an ASIC based on 22FDX/FDSOI technology for the detection of atrial fibrillation in human electrocardiograms using neural networks. The ASIC consists of a RISC-V core for supporting software components and an application-specific machine learning IP core (ML-IP), which is used to implement the computationally intensive inference. The ASIC was designed for maximum energy efficiency. A special feature of the ML-IP is its modular, generic and scalable design of the ML-IP which allows to specify the quantization of each computational operation, the degree of parallelization and the architecture of the neural network. This in turn allows the use of ML-based optimization techniques to perform co-optimization for hardware design and architecture of the neural network (NNs). Here, a multi-objective optimization of the overall system is performed with respect to computational efficiency at a given classification accuracy and speed by using a multi-objective optimization, which is carried out using a probabilistic surrogate model. This model tries to find the optimal neural network architecture with a minimum number of training, simulation and evaluation steps.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"28 1","pages":"40-45"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78525140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Machine Learning Based Smart Contact-less pH Sensing and Classification 基于机器学习的智能非接触式pH值传感与分类

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531918

M. Saberi, S. Gardner, M. Haider

{"title":"A Machine Learning Based Smart Contact-less pH Sensing and Classification","authors":"M. Saberi, S. Gardner, M. Haider","doi":"10.1109/MWSCAS47672.2021.9531918","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531918","url":null,"abstract":"With the ever increasing world population, there is a critical need for healthy food resources. Fish are the most environmentally-friendly animal protein to produce, efficiently converting feed into meat while generating a fraction of the greenhouse gasses of livestock production. Therefore, fish farming is one of the most important fields for a sustainable future. Since there is no way for fishes in fish farming pools to migrate into healthier water, a key factor in this industry is to maintain the water quality in standard conditions. Out of different key measurements used to quantify water quality, pH is among the essentials. In this study a portable, cheap, non contact, reusable, and machine learning-based pH sensing system is introduced. This helps farmers to quantify the pH quality of their pools without spending significant amounts of money on measurement equipment. This work introduces a sensitive, non-invasive and reflection-based optical sensor along with an Autoencoder-ESN framework for pH sensing. Using the Autoencoder guarantees at least 5 percent better classification in comparison with simple Echo State Networks. Long lifetimes of the sensor along with high sensitivity of the machine learning algorithm makes this system valuable for local farmers.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"12 1","pages":"1049-1052"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78804837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bootstrapping Techniques for Energy-Efficient SAR ADCs : A State-of-the-Art Review 高能效SAR adc的自启动技术研究进展

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531736

F. Yuan

引用次数: 3

A Proposed Software Protection Mechanism for Autonomous Vehicular Cloud Computing 一种自动驾驶汽车云计算的软件保护机制

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531682

Muhammad Hataba, Ahmed B. T. Sherif, Reem Elkhouly

{"title":"A Proposed Software Protection Mechanism for Autonomous Vehicular Cloud Computing","authors":"Muhammad Hataba, Ahmed B. T. Sherif, Reem Elkhouly","doi":"10.1109/MWSCAS47672.2021.9531682","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531682","url":null,"abstract":"Cars are becoming smarter every day. They are being equipped with sensors, communications interfaces, and more powerful processing capabilities. The primary purpose was to enable these cars to drive themselves without any human interventions and become so-called Autonomous Vehicles (AVs). But why stop there, why not harness all that computing power for a greater collective purpose. That’s how the idea of Autonomous Vehicular Cloud Computing (AVCC) was born. Nonetheless, this is not a trivial task, the mobile and dynamic nature of vehicles poses a significant challenge in the formation and management of this cloud computing model and yet a more substantial challenge in terms of security and privacy of all the parties involved in this system. In this paper, we focus on protecting software running on AVCC. We use dynamic obfuscated compilation to complicate programs’ execution paths and hinder information leakage via side channels attacks. Relying on compilers offers advantages, such as the independence of architecture and support for a variety high-level programming languages and application simplicity with minimal set-up cost. Here, we introduce our system in the realm of ARM processor, which power AVCC. Then, we present execution statistics for simple standard programs. The results show tangible timing variations in diversified code versions for the same program, which may disrupt side-channel attacks.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"60 1","pages":"878-881"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84519506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Real-Time Analog Event-Detection for Event-Based Synchronous Sampling of Sparse Sensor Signals 稀疏传感器信号基于事件同步采样的实时模拟事件检测

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531687

Saleh Bunaiyan, Feras Al-Dirini

{"title":"Real-Time Analog Event-Detection for Event-Based Synchronous Sampling of Sparse Sensor Signals","authors":"Saleh Bunaiyan, Feras Al-Dirini","doi":"10.1109/MWSCAS47672.2021.9531687","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531687","url":null,"abstract":"The unprecedented rise of the internet-of-things (IoT) has led to an enormous rate of data generation from sensors and IoT devices, calling for an urgent need for more intelligent approaches of data acquisition from such sensors. This paper proposes an event-based sampling technique for selective acquisition of event-data from sparse sensor signals, produced by remote sensors and IoT devices. The proposed technique simultaneously combines advantageous features of uniform (synchronous) and non-uniform (asynchronous) techniques. In the proposed approach, event-detection is achieved in real-time in the analog domain, prior to analog-to-digital conversion (ADC) and digital processing, by means of an analog event-detection (AED) circuit. A proof-of-concept design for the AED circuit is implemented and analyzed through experiments and extensive SPICE simulations, demonstrating its capability of detecting the onset of an event in real-time; with speeds on the order of microseconds. Such rapid analog event-detection can enable the real-time control of the sampling process, such that no sampling would occur unless there is an event, giving rise to a richer information content in the acquired data. Moreover, the proposed technique allows all system blocks to remain in sleep-mode until an event is detected, dramatically reducing their overall power consumption. The impact of the proposed technique is further demonstrated on an important industrial application; seismic data acquisition, by testing the design - through SPICE simulation – on real seismic data obtained from seismic surveys for oil and gas exploration.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"485 1","pages":"1053-1057"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88199236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Inductive Noise Coupling in Superconductive Passive Transmission Lines 超导无源传输线中的电感噪声耦合

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531837

G. Krylov, E. Friedman

引用次数: 2

LEnS: Lifetime Enhancement Coding Scheme for Non-volatile Memory Processors LEnS:非易失性存储器处理器的寿命增强编码方案

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531891

Swatilekha Majumdar

引用次数: 0

Programable Bandwidth Bio-medical Amplifier for Multiple Bio-potential Signals Detection Systems 多生物电位信号检测系统的可编程带宽生物医学放大器

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531898

Israa Y. AbuShawish, S. Mahmoud

{"title":"Programable Bandwidth Bio-medical Amplifier for Multiple Bio-potential Signals Detection Systems","authors":"Israa Y. AbuShawish, S. Mahmoud","doi":"10.1109/MWSCAS47672.2021.9531898","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531898","url":null,"abstract":"This work presents a tunable bandwidth bio-medical amplifier controlled by controlling the gain bandwidth of highly linear rail-to-rail operational amplifier. The proposed bio-medical amplifier capable to accommodate frequencies starts from 50 Hz up to 10 kHz to detect multiple bio-potential signals: EEG, ECG, EMG, PCG and Aps, using fixed and small load capacitance. The proposed bio-medical amplifier simply consists of two stages bio-amplifier each designed with constant Tera ohm MOS pseudo-resistors used as feedback resistors which also provides controllability to the lower cutoff frequency of the overall two stages bio-medical amplifier thus allowing the detection of the small frequency range. Simulations in LT-spice using the 90 nm CMOS model, BSIM4 level = 54 version 4.3 under +1 V supply voltage are performed to validate the performance of the proposed amplifier. High stability is maintained (phase margin ≥ 60°) over the whole frequency ranges and the overall power consumption of the bio-medical amplifier is not exceeding the 3.28 μW. The used op-amp facilitates reaching both rails of the supply voltage.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"17 1","pages":"762-765"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85440599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Thermo-mechanical Analysis and Fatigue Life Prediction for Integrated Circuits (ICs) 集成电路热力学分析与疲劳寿命预测

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531747

A. Oukaira, Touati Djallel eddine, Ahmad Hassan, Mohamed Ali, Y. Savaria, A. Lakhssassi

引用次数: 4