Pub Date : 2026-01-21DOI: 10.1109/TCAD.2025.3650328
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Pub Date : 2026-01-06DOI: 10.1109/TCAD.2025.3641269
{"title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems publication information","authors":"","doi":"10.1109/TCAD.2025.3641269","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3641269","url":null,"abstract":"","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"45 1","pages":"C3-C3"},"PeriodicalIF":2.9,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11329508","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145904278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-25DOI: 10.1109/TCAD.2025.3637444
{"title":"2025 Index IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","authors":"","doi":"10.1109/TCAD.2025.3637444","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3637444","url":null,"abstract":"","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"44 12","pages":"4842-4927"},"PeriodicalIF":2.9,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11268960","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145612167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-21DOI: 10.1109/TCAD.2025.3629792
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Pub Date : 2025-10-21DOI: 10.1109/TCAD.2025.3613885
{"title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems publication information","authors":"","doi":"10.1109/TCAD.2025.3613885","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3613885","url":null,"abstract":"","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"44 11","pages":"C3-C3"},"PeriodicalIF":2.9,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11211510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-16DOI: 10.1109/TCAD.2025.3590127
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Pub Date : 2025-09-10DOI: 10.1109/TCAD.2025.3590129
{"title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems publication information","authors":"","doi":"10.1109/TCAD.2025.3590129","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3590129","url":null,"abstract":"","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"44 10","pages":"C3-C3"},"PeriodicalIF":2.9,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11155108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-21DOI: 10.1109/TCAD.2025.3590121
{"title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems society information","authors":"","doi":"10.1109/TCAD.2025.3590121","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3590121","url":null,"abstract":"","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"44 9","pages":"C2-C2"},"PeriodicalIF":2.9,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11133575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-21DOI: 10.1109/TCAD.2025.3590123
{"title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems publication information","authors":"","doi":"10.1109/TCAD.2025.3590123","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3590123","url":null,"abstract":"","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"44 9","pages":"C3-C3"},"PeriodicalIF":2.9,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11133583","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-25DOI: 10.1109/TCAD.2025.3592582
Yunpeng Yang;Feng Gao;Xiaopeng Yang;Runze Zhang;Zhipeng Li;Hua Xia;Qifeng Li;Xiangyun Ma
Infrared imaging is a valuable technology for gas leakage detection due to its high sensitivity, long detection range, and high efficiency. Conventional target detection methods depend on manually extracting image features, which often leads to limited accuracy, low adaptability, and slow detection speeds. Deep learning technology offers a potential solution to these challenges; however, the increasing depth of neural networks imposes significant computational demands, posing challenges to real-time detection. This article presents a compact and energy-efficient gas detection system, implemented with a ZYNQ platform and an infrared camera. We propose a ZYNQ-based convolution accelerator to enhance gas plume detection from images captured by the infrared camera. Operating at a clock frequency of 130 MHz, the accelerator is capable of reaching a peak performance of 37.44 Gop/s, with power consumption of only 4.12 W. The system achieves a processing speed of 0.235 s per image, enabling real-time gas leakage detection.
{"title":"Gas Leakage Detection Using YOLO Accelerator Based on ZYNQ","authors":"Yunpeng Yang;Feng Gao;Xiaopeng Yang;Runze Zhang;Zhipeng Li;Hua Xia;Qifeng Li;Xiangyun Ma","doi":"10.1109/TCAD.2025.3592582","DOIUrl":"https://doi.org/10.1109/TCAD.2025.3592582","url":null,"abstract":"Infrared imaging is a valuable technology for gas leakage detection due to its high sensitivity, long detection range, and high efficiency. Conventional target detection methods depend on manually extracting image features, which often leads to limited accuracy, low adaptability, and slow detection speeds. Deep learning technology offers a potential solution to these challenges; however, the increasing depth of neural networks imposes significant computational demands, posing challenges to real-time detection. This article presents a compact and energy-efficient gas detection system, implemented with a ZYNQ platform and an infrared camera. We propose a ZYNQ-based convolution accelerator to enhance gas plume detection from images captured by the infrared camera. Operating at a clock frequency of 130 MHz, the accelerator is capable of reaching a peak performance of 37.44 Gop/s, with power consumption of only 4.12 W. The system achieves a processing speed of 0.235 s per image, enabling real-time gas leakage detection.","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"45 2","pages":"1021-1027"},"PeriodicalIF":2.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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