Pub Date : 2024-07-12DOI: 10.1142/s0218126625500057
Hua Deng, Haiying Huang, Osama Alfarraj, Amr M. Tolba
{"title":"A Visual Transformer and Convolution Neural Network-based Intelligent Recommender System for E-Commerce Scenes","authors":"Hua Deng, Haiying Huang, Osama Alfarraj, Amr M. Tolba","doi":"10.1142/s0218126625500057","DOIUrl":"https://doi.org/10.1142/s0218126625500057","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141653821","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}
Pub Date : 2024-07-12DOI: 10.1142/s0218126625500033
Pengfei Zheng, Jiazhou Li, Zhikun Cui, Abdullah Alharbi, Amr M. Tolba
{"title":"An Improved SEIR Dynamics Model For Actual Infection Scale Estimation of COVID-19","authors":"Pengfei Zheng, Jiazhou Li, Zhikun Cui, Abdullah Alharbi, Amr M. Tolba","doi":"10.1142/s0218126625500033","DOIUrl":"https://doi.org/10.1142/s0218126625500033","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"57 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654757","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}
Pub Date : 2024-07-12DOI: 10.1142/s0218126625500069
Ruo Han Chen, Boon Sim Ng, S. Paramasivam, Li Ren
{"title":"An Automatic Grading Model for Semantic Complexity of English Texts Using Bidirectional Attention-Based Autoencoder","authors":"Ruo Han Chen, Boon Sim Ng, S. Paramasivam, Li Ren","doi":"10.1142/s0218126625500069","DOIUrl":"https://doi.org/10.1142/s0218126625500069","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"20 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141653637","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}
Pub Date : 2024-07-12DOI: 10.1142/s0218126624502931
Li Zhang, Junmiao Deng
The financial transaction relationships between existing entities are complex and diverse. In this situation, traditional risk control methods mainly ignored such complex and implicit relationship characteristics, remaining difficult to cope with complex and ever-changing financial risks. To address this issue, this paper proposes a novel relational graph convolution network (GCN)-based smart risk recognition model for financial transactions. Firstly, the classic GCN is simplified based on spatiotemporal effect. Then, feature extraction is conducted for financial transaction data, and a transformer encoder-based GCN model is proposed for risk recognition. The proposed model in this work is named as graph transformer graph convolutional network (GT-GCN) for short. In addition, fuzzy evaluation method is added into it. Finally, some experiments are conducted on real-world financial transaction data to make validation for the proposed GT-GCN. The research results indicate that the GT-GCN can not only effectively identify risks in financial transactions, but also has high accuracy and predictive ability. The application of GT-GCN to actual datasets also has good scalability and adaptability, and it can be resiliently extended into many other fields.
{"title":"A Relational Graph Convolution Network-Based Smart Risk Recognition Model for Financial Transactions","authors":"Li Zhang, Junmiao Deng","doi":"10.1142/s0218126624502931","DOIUrl":"https://doi.org/10.1142/s0218126624502931","url":null,"abstract":"The financial transaction relationships between existing entities are complex and diverse. In this situation, traditional risk control methods mainly ignored such complex and implicit relationship characteristics, remaining difficult to cope with complex and ever-changing financial risks. To address this issue, this paper proposes a novel relational graph convolution network (GCN)-based smart risk recognition model for financial transactions. Firstly, the classic GCN is simplified based on spatiotemporal effect. Then, feature extraction is conducted for financial transaction data, and a transformer encoder-based GCN model is proposed for risk recognition. The proposed model in this work is named as graph transformer graph convolutional network (GT-GCN) for short. In addition, fuzzy evaluation method is added into it. Finally, some experiments are conducted on real-world financial transaction data to make validation for the proposed GT-GCN. The research results indicate that the GT-GCN can not only effectively identify risks in financial transactions, but also has high accuracy and predictive ability. The application of GT-GCN to actual datasets also has good scalability and adaptability, and it can be resiliently extended into many other fields.","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"17 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654005","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}
Pub Date : 2024-07-12DOI: 10.1142/s0218126625500082
Kaushik Das, S. Pradhan, Abhishek Bhattacharjee
{"title":"Efficient Hardware Architecture Design of Radix-22 Fast Fourier Transform Using Coordinate Rotation Digital Computer","authors":"Kaushik Das, S. Pradhan, Abhishek Bhattacharjee","doi":"10.1142/s0218126625500082","DOIUrl":"https://doi.org/10.1142/s0218126625500082","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"2 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652167","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}
Pub Date : 2024-07-10DOI: 10.1142/s0218126624300083
Xiaoyu Zhong, Zhi-guo Yu, Xiaofeng Gu
Event-based cameras, also known as biologically inspired visual sensors, are capable of capturing real-time scene changes efficiently. Unlike traditional frame-based cameras, event cameras solely report triggered pixel-level brightness changes which are referred to as events. Event-based cameras show many advantages such as high temporal resolution, low latency, and high dynamic range, making them very attractive in robotics and computer vision, especially in challenging scenarios that are too demanding for traditional cameras. In this paper, we provide a comprehensive overview of the emerging field of event-based vision, focusing on the operation principle, sampling mechanisms, and algorithms that take advantage of their superior features. We also delve into the various tasks for which event cameras are utilized, such as object tracking, optical flow estimation, 3D reconstruction, SLAM, image reconstruction, and recognition. Additionally, we highlight the challenges and future opportunities for event cameras, seeking a more efficient way for machines to perceive and interact with the world.
{"title":"Recent Advances in Bio-Inspired Vision Sensor: A Review","authors":"Xiaoyu Zhong, Zhi-guo Yu, Xiaofeng Gu","doi":"10.1142/s0218126624300083","DOIUrl":"https://doi.org/10.1142/s0218126624300083","url":null,"abstract":"Event-based cameras, also known as biologically inspired visual sensors, are capable of capturing real-time scene changes efficiently. Unlike traditional frame-based cameras, event cameras solely report triggered pixel-level brightness changes which are referred to as events. Event-based cameras show many advantages such as high temporal resolution, low latency, and high dynamic range, making them very attractive in robotics and computer vision, especially in challenging scenarios that are too demanding for traditional cameras. In this paper, we provide a comprehensive overview of the emerging field of event-based vision, focusing on the operation principle, sampling mechanisms, and algorithms that take advantage of their superior features. We also delve into the various tasks for which event cameras are utilized, such as object tracking, optical flow estimation, 3D reconstruction, SLAM, image reconstruction, and recognition. Additionally, we highlight the challenges and future opportunities for event cameras, seeking a more efficient way for machines to perceive and interact with the world.","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"8 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659393","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}
Pub Date : 2024-07-05DOI: 10.1142/s0218126624503146
Futao Zhou, Youli Wu, Xiaoyong Zeng, Zixi Zhang, Silu Wang, Peng Huang, Zhiliang Kang
{"title":"Authenticity Verification of Alcoholic Beverages in IoT Environment through Fluorescence Hyperspectral Technology and Machine Learning","authors":"Futao Zhou, Youli Wu, Xiaoyong Zeng, Zixi Zhang, Silu Wang, Peng Huang, Zhiliang Kang","doi":"10.1142/s0218126624503146","DOIUrl":"https://doi.org/10.1142/s0218126624503146","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674854","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}
Pub Date : 2024-07-05DOI: 10.1142/s021812662450316x
Kebing Wen, Qinghuai Liang
{"title":"TM-Informer-based Prediction for Railway Ground Surface Settlement","authors":"Kebing Wen, Qinghuai Liang","doi":"10.1142/s021812662450316x","DOIUrl":"https://doi.org/10.1142/s021812662450316x","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675082","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}
Pub Date : 2024-07-05DOI: 10.1142/s0218126624503158
Zhengrong Tong, Sibo Li, Peng Li
{"title":"Study of Large Strain OFDR Sensor Based on Inclined Transfer Structure","authors":"Zhengrong Tong, Sibo Li, Peng Li","doi":"10.1142/s0218126624503158","DOIUrl":"https://doi.org/10.1142/s0218126624503158","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":" 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675949","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}
Pub Date : 2024-07-05DOI: 10.1142/s0218126624503122
M. Gupta, R. K. Chauhan
{"title":"Reconfigurable Image Confusion Scheme using Large Period Pseudo-Random Bit Generator based on Coupled- Variable Input LCG and Clock Divider","authors":"M. Gupta, R. K. Chauhan","doi":"10.1142/s0218126624503122","DOIUrl":"https://doi.org/10.1142/s0218126624503122","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674266","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}
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