2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)最新文献_第7页

Practical Approach to Cell Replacement for Resolving Pin Inaccessibility 解决引脚不可接近问题的实用电池替换方法

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531691

Suwan Kim, Taewhan Kim

{"title":"Practical Approach to Cell Replacement for Resolving Pin Inaccessibility","authors":"Suwan Kim, Taewhan Kim","doi":"10.1109/MWSCAS47672.2021.9531691","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531691","url":null,"abstract":"We propose a practical approach to the cell replacement problem for resolving the pin inaccessibility in the ECO (engineering-change-order) routing stage. The prior cell replacement method performs in two steps: (i) it prepares a subsidiary (i.e., alternative) cell library that includes for each cell type a set of diverse cell layouts. Then, (ii) it iteratively tries to replace the cells of routing failures with some cells in the subsidiary library during ECO routing in order to fix the routing failures. In this work, we downsize the subsidiary library produced in step (i) to speed up the sequential and time-consuming process of step (ii). Precisely, we propose a function based on the well-known formulation of Levenshtein distance to measure the degree of the pin topology difference between the layout of a cell type in the target library and a layout of the same type in the subsidiary library. Then, we update the subsidiary library to include, for each cell type, exactly one layout that has the biggest pin topology difference. Through experiments with benchmark circuits, it is shown that using the subsidiary library produced by our topology difference formulation enables to reduce the number of trials of cell replacements significantly over the conventional method while fixing almost the same amount of routing violations.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"34 1","pages":"224-227"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90809799","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

Using Machine Learning to Objectively Determine Colorimetric Assay Results from Cell Phone Photos Taken Under Ambient Lighting 利用机器学习客观地确定在环境照明下拍摄的手机照片的比色分析结果

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531902

Rachel Fisher, Karen S. Anderson, J. Christen

{"title":"Using Machine Learning to Objectively Determine Colorimetric Assay Results from Cell Phone Photos Taken Under Ambient Lighting","authors":"Rachel Fisher, Karen S. Anderson, J. Christen","doi":"10.1109/MWSCAS47672.2021.9531902","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531902","url":null,"abstract":"Colorimetric assays are an important tool in point-of-care testing that offers several advantages such as rapid response times and inexpensive costs. A factor that currently limits their use is objective measures to determine results. Current solutions consist of creating a test reader that standardizes the conditions the strip is under before measuring. However, this increases the cost and decreases the portability of these assays. The focus of this study is to train a convolutional neural network (CNN) that can objectively determine results of colorimetric assays under varying conditions. To ensure the flexibility of the model to several types of colorimetric assays, three models are trained on the same CNN. The images these models are trained on consist of positive and negative images of ETG (99.87% positive classification, 99.96% negative classification), fentanyl (99.60% positive classification, 99.56% negative classification), and HPV antibody (99.86% positive classification, 100% negative classification) strips taken under different lighting and background conditions. A fourth model is trained on an image set composed of all three strip types with the lowest classification accuracy being 99.11%.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"96 1","pages":"467-470"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87519563","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

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

Designing Convolutional Neural Networks Using Neuroevolution for Traffic Sign Datasets 基于神经进化的交通标志数据集卷积神经网络设计

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531782

Genevieve Sapijaszko, W. Mikhael

引用次数: 0

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

Review Paper on Transform Domains Techniques for Face Recognition 人脸识别中的变换域技术综述

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531795

Taif Alobaidi, W. Mikhael

引用次数: 0

A Dual-Band Low-Noise CMOS Switched-Transconductance Mixer with Current-Source Switch Driven by Sinusoidal LO Signals 一种电流源开关驱动的双频低噪声CMOS开关跨导混频器

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531696

Benqing Guo, Jing Gong

引用次数: 3

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

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