2024 International Conference on Electronics, Information, and Communication (ICEIC)最新文献

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Compute-in-Memory with SAR ADC and 2T1C DRAM for MAC Operations 利用 SAR ADC 和 2T1C DRAM 进行 MAC 运算的内存计算

2024 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457128

Tae Eun Jang, Kyu Hyun Lee, Gi Yeol Kim, Su Yeon Yun, Da-Hyeon Youn, Hyunggu Choi, Jihyang Kim, Soo Youn Kim, Minkyu Song

引用次数: 0

A Simplified Feature Alignment Strategy for Image Classification Across Domains 跨域图像分类的简化特征对齐策略

2024 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457222

Jin Shin, Hyun Kim

{"title":"A Simplified Feature Alignment Strategy for Image Classification Across Domains","authors":"Jin Shin, Hyun Kim","doi":"10.1109/ICEIC61013.2024.10457222","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457222","url":null,"abstract":"Recently, in deep learning research, the importance of domain generalization (DG) for unseen domains has been emphasized. Most of the baseline methodologies for this focus on generating adversarial representations or separating content and style information from intermediate features for learning. However, these approaches inevitably increase the time complexity for both training and inference. In this study, we propose an approach to improve DG performance without excessive bottleneck points. We suggest an auxiliary network structure that places a mapping layer for feature alignment after the stem layer, a generative model based on an adaptive instance normalization that can adjust mean and standard deviation. This structure consistently adjusts the output feature maps of the stem layer to follow a Gaussian distribution regardless of the domain used as the input image. Moreover, both training and inference are possible without iterative routines, making their complexity nearly identical to training without the DG strategies. Experimental results show that our model outperforms the existing DG baseline with the highest performance in image classification tasks by an average accuracy of 0.71% higher on the PACS benchmarking dataset.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"39 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530402","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

Development of A Pressure-Sensitive Triboelectric Self-Powered Sensor Using Protruded Hemispherical Array Structures 利用突起半球阵列结构开发压敏三电自供电传感器

2024 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457228

Jie-Wei Gim, Lei-Jun Siau, Jen-Hahn Low, E. Lim, P. Chee

{"title":"Development of A Pressure-Sensitive Triboelectric Self-Powered Sensor Using Protruded Hemispherical Array Structures","authors":"Jie-Wei Gim, Lei-Jun Siau, Jen-Hahn Low, E. Lim, P. Chee","doi":"10.1109/ICEIC61013.2024.10457228","DOIUrl":"https://doi.org/10.1109/ICEIC61013.2024.10457228","url":null,"abstract":"Rapid advances in sensing technologies have led to the rapid development of wearable electronics for biomedical applications. Among these, the triboelectric nanogenerator (TENG) is a promising technology for harvesting energy from the environment. TENG can be used as a self-powered wearable sensor to generate electricity by converting mechanical energy into electrical energy. In this context, a pressure-sensitive single-electrode triboelectric nanogenerator (SE-TENG) is developed. A $4times 4$ array of deformable protruded hemispherical structures is constructed on the elastomer to enhance the contact surface area. This design also allows for the energy harvesting from different magnitudes of hand tapping forces. In our experiments, the output voltage is proportional to the hand tapping forces. Three different diameters of protruded hemispherical structures were compared, and the larger diameter shows a larger output voltage. This proposed SE-TENG has been demonstrated for ball bouncing game, which is useful for rehabilitation applications.","PeriodicalId":518726,"journal":{"name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"76 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530222","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

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