2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)最新文献_第5页

Implementation of High Speed and Low Power Carry Select Adder with BEC 用BEC实现高速低功耗进位选择加法器

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531750

Nikhil Advaith Gudala, T. Ytterdal, John J. Lee, M. Rizkalla

{"title":"Implementation of High Speed and Low Power Carry Select Adder with BEC","authors":"Nikhil Advaith Gudala, T. Ytterdal, John J. Lee, M. Rizkalla","doi":"10.1109/MWSCAS47672.2021.9531750","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531750","url":null,"abstract":"One of the most substantial areas of research in VLSI is the design of power-efficient and high-speed data path logic systems. The speed of addition is constrained in digital adders by the time taken to propagate a carry through the adder. When the previous bit has been added and the carry generated from this addition is propagated onto the next bit, the sum for each bit in an elementary adder is generated sequentially in this manner. In several computer systems, the Carry Select Adder (CSLA) is used to mitigate the issue of carry propagation delay by generating multiple carry bits and then selecting a carry for the desired output. The CSLA, however, is not area-efficient since it utilizes several Ripple Carry Adders (RCA) pairs to produce partial sum and carry by considering carry data, and then multiplexers pick the final sum and carry (mux). The core concept of this study is to use the Binary to Excess-1 Converter (BEC) to achieve high speed and low-power consumption instead of the RCA in the regular CSLA. The results have been analyzed and compared for implementation of three adders (conventional CSA, CSA with RCA, CSA with BEC). The results from the performance evaluations of the adders are compared with each other. All the simulation is carried out in 45nm technology. The delay of CSA and CSA with RCA are same, but the main difference is in reduction of area and power. Similarly when CSA(BEC) and CSA(RCA) are compared, the area has been reduced by approximately 18.67% and power has been reduced by 25.85%.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"5 1","pages":"377-381"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83716626","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: 3

Reliability Assessment of Tiny Machine Learning Algorithms in the Presence of Control Flow Errors 存在控制流误差的微型机器学习算法的可靠性评估

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531793

B. Eubanks, A. Patooghy, Olcay Kursun

引用次数: 1

Digital Realization of Ca2+ Oscillation With Impact of Amyloid-β 受淀粉样蛋白-β影响的Ca2+振荡的数字化实现

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531702

Mahsasadat Seyedbarhagh, A. Ahmadi, M. Ahmadi

引用次数: 1

A Hybrid Deep Learning Cyber-Attacks Intrusion Detection System for CAV Path Planning 基于CAV路径规划的混合深度学习网络攻击入侵检测系统

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531858

M. Moussa, Lubna K. Alazzawi

{"title":"A Hybrid Deep Learning Cyber-Attacks Intrusion Detection System for CAV Path Planning","authors":"M. Moussa, Lubna K. Alazzawi","doi":"10.1109/MWSCAS47672.2021.9531858","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531858","url":null,"abstract":"Mobility has become synonymous with the safety of connected and autonomous vehicles (CAVs). This implies both the welfare of the driver and, hence, the protection of the high amount of data exchanged in the internet framework, starting from the cloud down to the dew devices. Path planning, in an autonomous car, is not granted security-wise when data is constantly updated back and forth between the cloud and the physical system. In this article, we generate a velocity profile of an autonomous car-generated path using the Frenet frame technique. The obtained data is used to be transferred into the cloud for update purposes, taking into consideration new traffic information, and sent back to the vehicle to adapt. The extreme variability of the data could be vulnerable to cyber-attacks and could alter the path planning process, by modifying the intended path or even block the transaction. We consider this exchange as a streaming service due to its high flux. After identifying the adequate cyber-attacks, we used a time-series approach to design our cyber-attacks Intrusion Detection System (IDS), which is a hybrid deep learning model using Long Short-Term Memory (LSTM) Autoencoder (AE). We compare the performance of our model, using specific metrics, with other models to put in evidence its adaptability with autonomous systems, as a time-series application, on the road. Our proposed model achieves a high accuracy of 98.7%, compared to other models.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"79 1","pages":"607-610"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91240722","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: 3

Reliability Analysis Of Autonomous UAV Communication Using Statistical Model Checking 基于统计模型检验的自主无人机通信可靠性分析

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531675

M. Abdelhamid, Ayman A. Atallah, Marwan Ammar, O. Mohamed

引用次数: 3

High Linearity Vector Matrix Multiplier using Bootstrapping and Pre-Emphasis Charging of Non-linear Charge-Trap Synaptic Devices 利用非线性电荷阱突触器件的自举和预强调充电的高线性向量矩阵乘法器

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531895

Se-Won Yun, Young-Taek Ryu, K. Kwon

引用次数: 2

A 32Gb/s NRZ Wireline Transmitter with CMFB- Based CML Driver in 28nm CMOS Technology 基于CMFB的CML驱动的32Gb/s NRZ有线发射机

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531814

Youzhi Gu, Junkun Chen, Xiaolin Li, Yongzhen Chen, Jiangfeng Wu

引用次数: 1

A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy 一种基于混合胶囊网络的深度学习框架用于罕见注释的古代文字解密——以腓尼基铭文为例

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531798

Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Ashok Kumar

{"title":"A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy","authors":"Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Ashok Kumar","doi":"10.1109/MWSCAS47672.2021.9531798","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531798","url":null,"abstract":"A hybrid capsule network-based deep learning framework for deciphering ancient scripts with scarce annotations is presented. To verify the feasibility of our proposed framework, the Phoenician epigraphy is used as a case study. A corpus of labeled data of Phoenician alphabets that covers all different styles and stages is presented. This corpus can help in contributing to the digitization process of the Phoenician culture. This dataset is preprocessed by performing conventional pre-processing techniques and then processed and augmented using a hybrid architecture of autoencoders that preserves its human-like nature. The augmented dataset is fed to a custom capsule network in order to decipher the Phoenician character and classify it into one of the 22 alphabets. Our model achieves state-of-the-art performance in recognizing handwritten characters with an overall accuracy of 0.9891 and a loss of 0.021. Therefore, our model can help develop an automated deciphering system to save epigraphists' valuable time and effort in deciphering the Phoenician epigraphy in a short period. Moreover, this work can be replicated for any other ancient scripts with minor modifications considering the systematic methodology that we proposed since it has proven its effectiveness in deciphering the Phoenician epigraphy. Our model can be employed as a transfer learning backbone for recognizing other existing alphabets which suffer from a lack of annotated data.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"46 1","pages":"617-620"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87796665","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: 3

About the Advantages of Balanced Switching in Switched Capacitor Converters 关于开关电容变换器中平衡开关的优点

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531710

Yerzhan Mustafa, Yan Lu, A. Ruderman

引用次数: 0

Eco-CMB: A Hardware-Accelerated Band-Power Feature Extractor for Tactile Embedded Systems 生态- cmb:一种用于触觉嵌入式系统的硬件加速带功率特征提取器

2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531685

Joshua Osborne, A. Patooghy, Beiimbet Sarsekeyev, Olcay Kursun

{"title":"Eco-CMB: A Hardware-Accelerated Band-Power Feature Extractor for Tactile Embedded Systems","authors":"Joshua Osborne, A. Patooghy, Beiimbet Sarsekeyev, Olcay Kursun","doi":"10.1109/MWSCAS47672.2021.9531685","DOIUrl":"https://doi.org/10.1109/MWSCAS47672.2021.9531685","url":null,"abstract":"Real-time and energy efficient signal feature extraction has become increasingly important for machine-learning-enabled smart sensor systems in mobile and Edge applications. As considerable scientific and technological efforts have been devoted to developing tactile sensing with prospective applications in many fields, such as smart prosthetics, remote palpation, and robotic surgery with the sense of touch; in this paper, we develop a parallel hardware-software signal feature extraction method and apply it to a dataset of tactile texture classification. Being easily parallelizable, a set of passband-power feature extraction blocks compute signal power in various passbands and can be clock gated for accuracy-energy trade-offs controlled by a proposed feature summarization algorithm. Our experimental results on the tactile dataset have shown that the proposed method works at high levels of parallelization and realtimeness, performs with lower computational complexity, and achieves accuracy levels comparable to those of convolutional neural networks.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"28 2 1","pages":"198-203"},"PeriodicalIF":0.0,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80000092","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