2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)最新文献_第6页

Design of Efficient In-Hand Network (IHN) Architecture for Humanoid 面向人形机器人的高效手持网络(IHN)体系结构设计

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082824

Jae-Ho Lee, Sungkwon Park

引用次数: 0

0.3 V Fully Differential Current Conveyor Using MIBD-DT MOST technique 0.3 V全差动电流输送机采用MIBD-DT MOST技术

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082798

M. Kumngern, U. Torteanchai, Natapong Wongprommoon, W. Jongchanachavawat, S. Tooprakai, S. Lerkvaranyu

引用次数: 0

Analysis of Machine Learning Techniques for Predictive Maintenance in Cooler Condition 低温条件下预测性维护的机器学习技术分析

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082814

Mirza Rayana Sanzana, Mostafa Osama Mostafa Abdulrazic, Jing Ying Wong, T. Maul, Chun-Chieh Yip

引用次数: 2

A Preliminary Study of Employing Lowpass-Filtered and Time-Reversed Feature Sequences as Data Augmentation for Speech Enhancement Deep Networks 采用低通滤波和时间反转特征序列作为语音增强深度网络数据增强的初步研究

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082819

Che-Wei Liao, Ping-Chen Wu, J. Hung

引用次数: 0

Zero-shot Learning on Gesture Movement for Interactive Dashboard Control 交互式仪表板控制手势运动的零射击学习

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082836

Wen Lin Yong, Y. Tew, J. Chaw

{"title":"Zero-shot Learning on Gesture Movement for Interactive Dashboard Control","authors":"Wen Lin Yong, Y. Tew, J. Chaw","doi":"10.1109/ISPACS57703.2022.10082836","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082836","url":null,"abstract":"Human-computer interaction (HCI), is always the mainstream in computer technology that concentrates on the communication between humans and computer. Gesture-based HCI, which sounded so modern and zippy at the time, sounds retro now. Although the idea of gesture based HCI is nothing new, this topic is still in vogue. HCI studies continually emphasize the user experience especially when it is implemented in a real-world environment. As known that every individual acts differently and more uncontrollable environmental variables might affect the performance to detect and react to the gesture performed. Even though there are many solutions and datasets proposed in the market, not each of them perfectly fitted to our needs. Hence, to propose a more tailored made gesture detection for own use, the existing zeroshot learning model will be tested on the gesture dataset introduced in this work to fine tune to own needs. The result shows that our proposed I2Hub dataset has higher accuracy compared to EgoGesture dataset (~1.01), but the elapsed time takes longer due to the higher average number of videos in each gesture action.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126629232","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

Detection For Non-Genuine Identification Documents 非真实身份证件的检测

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082800

C. Yap, Koksheik Wong, Ganesh Krishnasamy, Ian K. T. Tan

引用次数: 0

Nuclei Segmentation in ER-IHC Stained Histopathology Images using Mask R-CNN 利用掩膜R-CNN对ER-IHC染色的组织病理学图像进行细胞核分割

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082832

Md. Jahid Hasan, Wan Siti Halimatul Munirah wan Ahmad, M. F. A. Fauzi, J. T. H. Lee, S. Y. Khor, L. Looi, F. S. Abas

{"title":"Nuclei Segmentation in ER-IHC Stained Histopathology Images using Mask R-CNN","authors":"Md. Jahid Hasan, Wan Siti Halimatul Munirah wan Ahmad, M. F. A. Fauzi, J. T. H. Lee, S. Y. Khor, L. Looi, F. S. Abas","doi":"10.1109/ISPACS57703.2022.10082832","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082832","url":null,"abstract":"Breast cancer is the leading cause of mortality among women in both developing and underdeveloped countries. The nuclei segmentation in digital histopathology image analysis plays a crucial role in breast cancer in the early stages of its development and may allow patients to have proper treatment. Nuclei overlap and complex structural organisation of the breast tissue in biopsy images make nuclei segmentation and feature extraction challenging. To mitigate the aforementioned problems, this paper employed a mask region-based convolution neural network (Mask R-CNN) to segment immunohistochemistry breast cancer images. The mask R-CNN algorithm introduces advanced Regional Proposal Network architecture that precisely addresses the object location to generate candidate regions. The Mask R-CNN used resnet50 as the backbone and applied Feature Pyramid Network (FPN) to fully explore multiscale feature maps. And then, Region Proposal Network (RPN) was used to propose candidate bounding boxes. The robustness of the Mask R-CNN model is enhanced by training the model with our collected dataset. The proposed architecture has the average of 72% precision, 84.2% recall, 77.62% F1-score, and Jaccard Index overall score of 0.59. The proposed model can be beneficial in assisting pathologist for a routine exam, as well as a second opinion for breast cancer segmentation from whole slide images. Since the process is fully automated, it can be done without supervision and only the final result will be attended by the pathologists.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128465579","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

Single Image Super-Resolution Using Inverted Residual and Channel-Wise Attention 使用反向残差和通道明智注意的单幅图像超分辨率

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082788

Md. Imran Hosen, Md Baharul Islam

{"title":"Single Image Super-Resolution Using Inverted Residual and Channel-Wise Attention","authors":"Md. Imran Hosen, Md Baharul Islam","doi":"10.1109/ISPACS57703.2022.10082788","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082788","url":null,"abstract":"Single-image super-resolution (SISR) is the task of reconstructing a high-resolution image from a low-resolution image. Convolutional neural network (CNN)-based SISR techniques have demonstrated promising results. However, most CNN-based models cannot discriminate between different forms of information and treat them identically, which limits the models' ability to represent information. On the other hand, when a neural network's depth increases, the long-term information from earlier layers is more likely to degrade in later levels, which leads to poor image SR performance. This research presents a single image super-resolution strategy employing inverted residual connection with channel-wise attention (IRCA) to preserve meaningful information and keep long-term features while balancing performance and computational cost. The inverted residual block achieves long-term information persistence with fewer parameters than traditional residual networks. Meanwhile, by explicitly modeling inter-dependencies between channels, the attention block progressively adjusts channel-wise feature responses, enhancing essential information and suppressing unnecessary information. The efficacy of our suggested approach is demonstrated in three publicly accessible datasets. Code is available at https://github.com/mdhosen/SISR_IResBlock","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426919","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

Joint Channel Estimation and Signal Detection using Latent Space Representations in VAE 基于潜空间表示的联合信道估计和信号检测

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082835

W. IanWongC., M. Jaward, Vishnu Monn Baskaran, Chong Hin Chee, M. L. Sim

引用次数: 0

Deep Neural Networks based Soft-Information Improvement for Two-head/Two-track Bit-Patterned Magnetic Recording 基于深度神经网络的双头/双轨位模式磁记录软信息改进

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2022-11-22 DOI: 10.1109/ISPACS57703.2022.10082796

Anawin Khametong, N. Rueangnetr, C. Warisarn, S. Koonkarnkhai, P. Kovintavewat

引用次数: 0