2023 IEEE International Symposium on Circuits and Systems (ISCAS)最新文献_第9页

Natural Outlier Rejection with Shepherd's Psychometric Similarity Metric 用Shepherd的心理测量相似性度量法拒绝自然离群值

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10182174

Dibyasha Mahapatra, Alex James

引用次数: 0

Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution 基于核主成分分析和几何加权卷积的旋转不变点云分割

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10182102

Yuqi Li, Qin Yang, Wenrui Dai, Chenglin Li, Junni Zou, H. Xiong

{"title":"Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution","authors":"Yuqi Li, Qin Yang, Wenrui Dai, Chenglin Li, Junni Zou, H. Xiong","doi":"10.1109/ISCAS46773.2023.10182102","DOIUrl":"https://doi.org/10.1109/ISCAS46773.2023.10182102","url":null,"abstract":"Learning a rotation-invariant (RI) representation is of significant importance for real-world point cloud segmentation that is perturbed by arbitrary rotations. Recent principal component analysis (PCA)-based methods provide an effective alternative to align point clouds and produce the RI representation under the preservation of global information. However, conventional PCA with 3-D coordinates cannot fully represent high-dimensional geometric structures like surfaces and curves and cannot uniformly align these structures for learning RI representation. In this paper, we propose a novel rotation-invariant method for point cloud segmentation, which leverages kernel PCA (KPCA) for aligning point clouds in a projected high-dimensional space via non-linear mapping and develops a Geometry-based Weighted Convolution (GWConv) to distinguish part boundaries during segmentation. Specifically, the KPCA produces a RI representation with polynomial kernels for effectively representing complicated geometric structures in point clouds. Moreover, the GWConv incorporates geometric structures into convolution and enhances neighboring points with similar geometry for fine-grained segmentation based on the RI representation. Experimental results demonstrate that the proposed method can achieve competitive performance with the state-of-the-arts and outperforms existing PCA-based methods in part segmentation on ShapeNet. Furthermore, it achieves evident performance gains on complicated 3-D shapes such as Earphone and Car and facilitates segmentation around the part boundaries.","PeriodicalId":177320,"journal":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"1944 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129262085","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

tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI tuGEMM:用于低精度边缘人工智能的面积-功率效率时间一元GEMM架构

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181357

Harideep Nair, P. Vellaisamy, Albert Chen, Joseph Finn, Anna Li, Manav Trivedi, J. Shen

引用次数: 0

A 18-22GHz, 13.2mW, 0.22mm2, 5 bit VGA with 15.5dB linear in dB gain control in 130nm SiGe for Satcom on the Move (SOTM) applications 18-22GHz, 13.2mW, 0.22mm2, 5位VGA，在130nm SiGe下具有15.5dB线性增益控制，适用于移动卫星通信(SOTM)应用

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181876

Chan Kuen Sim, R. Kumarasamy

引用次数: 2

Towards Next Generation Video Coding: from Neural Network Based Predictive Coding to In-Loop Filtering 迈向新一代视频编码:从基于神经网络的预测编码到环内滤波

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181462

Yanchen Zhao, Suhong Wang, Kai Lin, Meng Lei, Chuanmin Jia, Shanshe Wang, Siwei Ma

{"title":"Towards Next Generation Video Coding: from Neural Network Based Predictive Coding to In-Loop Filtering","authors":"Yanchen Zhao, Suhong Wang, Kai Lin, Meng Lei, Chuanmin Jia, Shanshe Wang, Siwei Ma","doi":"10.1109/ISCAS46773.2023.10181462","DOIUrl":"https://doi.org/10.1109/ISCAS46773.2023.10181462","url":null,"abstract":"Audio Video Coding Standard (AVS) Intelligent Coding Group mainly studies video coding tools based on neural network technology and its potential benefit for next generation video coding. Extensive efforts have been dedicated to the research on neural network (NN) based coding tools. In this paper, we present a novel NN based video coding framework by leveraging the supervised trained NN models for multiple modules in the hybrid coding framework, from the predictive coding to the in-loop filtering. Specifically, NN based intra prediction models the non-linear mapping from contextual pixels to the predictions. The inter prediction efficiency is enhanced by introducing a virtual reference frame (VRF) network. The convolutional neural network based loop filtering (CNNLF) with discriminative model selection exploits the texture adaptivity. The experimental results show that the CNNLF, NN Intra, and VRF models can bring 8.60%, 1.02%, and 2.26% luma BD-rate reduction under random access (RA) configuration compared with AVS reference software HPM13.0. Additional experiments with the combined three NN coding tools reveal that around 13% YUV BD-rate reduction could be obtained. The proposed framework opens novel sights for next generation video coding from the intelligent coding perspective.","PeriodicalId":177320,"journal":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121303932","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

Wearable Multiple Body Signal Monitoring System with Single Biocompatible AlN Piezoelectric Sensor 单生物相容性AlN压电传感器可穿戴多体信号监测系统

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181333

S. M. Demir, Lorenzo Marzano, P. Ros, L. Fachechi, D. Demarchi, M. Vittorio

{"title":"Wearable Multiple Body Signal Monitoring System with Single Biocompatible AlN Piezoelectric Sensor","authors":"S. M. Demir, Lorenzo Marzano, P. Ros, L. Fachechi, D. Demarchi, M. Vittorio","doi":"10.1109/ISCAS46773.2023.10181333","DOIUrl":"https://doi.org/10.1109/ISCAS46773.2023.10181333","url":null,"abstract":"Remote monitoring of vital body signals has drawn the attention of late, particularly with the burst of COVID-19. Wearable devices are started to be widely used for non-invasive health monitoring tasks. This work presents a wearable system for multiple body signal monitoring using only one biocompatible aluminum nitride piezoelectric sensor and a custom wireless electronic device for data acquisition and transmission. The proposed sensor has been customized for the suprasternal notch, where we can simultaneously extract heart rate, respiration rate, and deglutition events. These parameters are helpful for the remote diagnosis of multiple diseases like cardiac arrhythmia, asthma, and dysphagia. Moreover, heart sound components have been derived from the same signal, providing critical information about heart health and insight into possible heart diseases. The preliminary experimental results show that the proposed wearable system can be used for personalized healthcare applications and offers a promising solution for unobtrusive remote health monitoring.","PeriodicalId":177320,"journal":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121305865","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

A Low-power ASK Demodulator for Wireless Power and Data Transfer Systems Supporting Ultra-low Modulation Depth of 0.03% 一种支持0.03%超低调制深度的无线电源和数据传输系统的低功耗ASK解调器

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10182191

Qingbing Zhang, Songping Mai, Ruolin Zhou, Xincheng Yang

引用次数: 0

A side-channel resistant implementation of AES combining clock randomization with duplication 结合时钟随机化和重复的AES抗侧信道实现

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181621

M. Moraitis, Martin Brisfors, E. Dubrova, Niklas Lindskog, Håkan Englund

引用次数: 1

HEBGS: Homomorphic Encryption-based Background Subtraction Using a Fast-Converging Numerical Method HEBGS:基于同态加密的背景减法的快速收敛数值方法

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181453

Justin Shyi, Sunwoong Kim

{"title":"HEBGS: Homomorphic Encryption-based Background Subtraction Using a Fast-Converging Numerical Method","authors":"Justin Shyi, Sunwoong Kim","doi":"10.1109/ISCAS46773.2023.10181453","DOIUrl":"https://doi.org/10.1109/ISCAS46773.2023.10181453","url":null,"abstract":"Recent advances in cloud services provide greater computing ability to edge devices on cyber-physical systems (CPS) and internet of things (IoT) but cause security issues in cloud servers and networks. This paper applies homomorphic encryption (HE) to background subtraction (BGS) in CPS/IoT. Cheon et al. 's numerical methods are adopted to implement the non-linear functions of BGS in the HE domain. In particular, square- and square root-based HE-based BGS (HEBGS) designs are proposed for the input condition of the numerical comparison operation. In addition, a fast-converging method is proposed so that the numerical comparison operation outputs more accurate results with lower iterations. Although the outer loop of the numerical comparison operation is removed, the proposed square-based HEBGS with the fast-converging method shows an average peak signal-to-noise ratio value of 20dB and an average structural similarity index measure value of 0.89 compared to the non-HE-based conventional BGS. On a PC, the execution time of the proposed design for each $128times 128$-sized frame is 0.34 seconds.","PeriodicalId":177320,"journal":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126377470","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

A Mini-Living Lab Project as a Pedagogical Approach to AI-driven Autonomous Systems in Undergraduate Engineering and CS+[X] Education 人工智能自主系统在工程与计算机科学+教学中的应用[X]

2023 IEEE International Symposium on Circuits and Systems (ISCAS) Pub Date : 2023-05-21 DOI: 10.1109/ISCAS46773.2023.10181481

Y. Massoud, Xianyong Yi, Muhammad Zubair

{"title":"A Mini-Living Lab Project as a Pedagogical Approach to AI-driven Autonomous Systems in Undergraduate Engineering and CS+[X] Education","authors":"Y. Massoud, Xianyong Yi, Muhammad Zubair","doi":"10.1109/ISCAS46773.2023.10181481","DOIUrl":"https://doi.org/10.1109/ISCAS46773.2023.10181481","url":null,"abstract":"We present the living lab methodology as a pedagogical approach to artificial intelligence (AI) based autonomous systems under the framework of place-based learning. Due to time, location, weather, traffic safety, and other issues, performing road testing on autonomous cars is challenging. Autonomous driving testing has been made easier by the virtual test platform, which can partly replace road testing. To improve the system-designed skills of the students and to validate autonomous driving ideas in real life settings to further refine solutions proposed, we proposed Mini-Living Lab system. The platform may also give a significant number of test scenarios for the driver during early verification of the autonomous driving control approach. We provide the detailed system design and implement an artificial intelligence based autonomous driving model on our proposed system. For the neural network model, we adopt PointNet++ and improve its design to process the lidar point cloud data, then further to perform the autonomous steering control tasks. The proposed project provides an opportunity for students to actively participate in co-creation of knowledge and innovation in real-life contexts, thus leading to an enhanced understanding of complex engineering problems and development of required skills for their innovative solutions.","PeriodicalId":177320,"journal":{"name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122274502","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