2023 International Conference on Electronics, Information, and Communication (ICEIC)最新文献_第10页

Radiation-Hardened Processing-In-Memory Crossbar Array With Hybrid Synapse Devices for Space Application 用于空间应用的具有混合突触器件的抗辐射内存处理交叉棒阵列

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049920

Shin-Uk Kang, Jin-Woo Han, Min-Seong Choo

{"title":"Radiation-Hardened Processing-In-Memory Crossbar Array With Hybrid Synapse Devices for Space Application","authors":"Shin-Uk Kang, Jin-Woo Han, Min-Seong Choo","doi":"10.1109/ICEIC57457.2023.10049920","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049920","url":null,"abstract":"This paper presents a multilayer perceptron (MLP) that offers excellent accuracy for classifying MNIST handwritten images considering radiation-induced bit failures. By introducing a stochastic model for radiation effect on ideal error-free MLP, the performance degradation of the neural network on space application is inevitable. Radiation-hardened processing in memory (PIM) should be developed with minimum hardware additives to utilize edge devices more practically in space. In the previous studies on digital synaptic devices to overcome radiation-related side effects, as the number of transistors in the unit storage device increases, more tolerance to radiation is expected. However, when all weight devices are replaced with bulky ones, the overall volume of the processor increases. This work proposes a digital hybrid synaptic device that only uses a larger device on the most significant bit (MSB) when the radiation effect is considered. With minimum hardware overhead for synapses, improved performance in the classification of MNIST is obtained. From the Neurosim framework with a single hidden layer, the accuracy is dramatically improved while sacrificing 1-bit weight information.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994332","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 Review on Current-Steering DAC Design 电流导向DAC设计综述

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049912

Xian Yang Lim, Wu Cong Lim, Boon Chiat Terence Teo, V. Navaneethan, Chong Boon Tan, Nardi Utomo, L. Siek, A. Alvandpour

引用次数: 0

High Dynamic Range Image Recovery by Use of Lens Flare Events Detection Algorithm 基于镜头光晕事件检测算法的高动态范围图像恢复

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049895

Bobaro Chang, H. Ryu, Hyuk-Jae Lee

{"title":"High Dynamic Range Image Recovery by Use of Lens Flare Events Detection Algorithm","authors":"Bobaro Chang, H. Ryu, Hyuk-Jae Lee","doi":"10.1109/ICEIC57457.2023.10049895","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049895","url":null,"abstract":"Event cameras are novel vision sensors that asynchronously output per-pixel events by measuring brightness changes. Event cameras have advantages such as high speed and high dynamic range compared to conventional cameras. To leverage the advantages and apply prior algorithms, event-based image reconstruction has been developed. With the development of neural networks, state-of-the-art reconstruction methods are introduced. However, high dynamic range reconstructions still suffer from lens flare-based artefacts, which makes the intensity estimation incorrect. To address this problem, this work presents a computational approach to detect ill-posed events caused by lens flare. Under the examination that lens flare elements of event cameras mainly consist of glow and starburst, we derive two bivariate Gaussian distributions from targets in the compressed stream of events. By operating convolution, the detector reduces the sparsity of events, which makes the surface fitting more precise. We show that the proposed method effectively eliminates dark stain in high dynamic range reconstruction, while preserving detail on the other region at the same time.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125303597","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

Transistor Sizing Scheme for DICE-Based Radiation-Resilient Latches 基于dice的辐射弹性锁存器的晶体管尺寸方案

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049983

Jung-Jin Park, Young-Min Kang, Geon-Hak Kim, I. Chang, Jinsang Kim

引用次数: 0

Fast Virtual Keyboard Typing Using Vowel Hand Gesture Recognition 使用元音手势识别的快速虚拟键盘输入

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049889

Su-Jin Park, Tae-Ho Lee, Vidura Munasinghe, Tae-Sung Kim, Hyuk-Jae Lee

引用次数: 0

Human Group Clustering in a Crowded Public Place Using Multiple Object Detection and Tracking 基于多目标检测与跟踪的拥挤公共场所人群聚类

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049978

Donggoo Kang, Yeongheon Mok, Yeong-Jun Kim, Sunkyu Kwon, J. Paik

引用次数: 0

Nanospeckle Illumination Microscopy of Extracellular Vesicles on Chip 芯片上细胞外囊泡的纳米斑点照明显微镜研究

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049929

Hongki Lee, H. Yoo, Gwang Myeong Seo, Kyungnam Kang, Seung Ah Lee, K. Toh, J. Sung, Donghyun Kim

引用次数: 0

Image Enhancement for High-Resolution Visual Contents 高分辨率视觉内容的图像增强

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049957

Heunseung Lim, Jaehee Lee, Hyuncheol Kim, Heungmin Oh, J. Paik

引用次数: 0

UCR-SSL: Uncertainty-Based Consistency Regularization for Semi-Supervised Learning UCR-SSL:基于不确定性的半监督学习一致性正则化

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049938

Seungil Lee, Hyun Kim, Dayoung Chun

{"title":"UCR-SSL: Uncertainty-Based Consistency Regularization for Semi-Supervised Learning","authors":"Seungil Lee, Hyun Kim, Dayoung Chun","doi":"10.1109/ICEIC57457.2023.10049938","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049938","url":null,"abstract":"Recently, semi-supervised learning methods are being actively developed to increase the performance of neural networks by using large amounts of unlabeled data. Among these techniques, pseudo-labeling methods have the advantage of low computational complexity, but are vulnerable to missing annotations. To solve this problem, we propose a method called uncertainty-based consistency regularization (UCR). UCR models a detection head to obtain different outputs for input images and computes a feature map of each. Subsequently, these feature maps are matched with the original and filtered ground truth (GT), and are classified as positive and negative samples, respectively. In this process, missing samples are generated by the filtered GT; therefore, we use a specialized loss function designed to reduce the logit difference of the samples for robustness against missing annotations. We also use the uncertainty extracted through Gaussian modeling as a criterion for annotation filtering to train the network to focus on reliable results. As a result of experiments with an SSD model on the Pascal VOC dataset, the proposed approach achieved an improvement of 0.7% in terms of mAP compared to a baseline method.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127929562","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

Deep-Clustering Based Plant Disease Segmentation Network 基于深度聚类的植物病害分割网络

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049898

Seong-Eui Lee, Sang-Ho Lee, Jong-Ok Kim

引用次数: 1