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Multi-focus image fusion based on fully convolutional networks Research Articles
Rui Guo, Xuan-jing Shen, Xiao-yu Dong, Xiao-li Zhang,zhangxiaoli@jlu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7, Pages 963-1118 doi: 10.1631/FITEE.1900336
Keywords: 多焦距图像融合;全卷积网络;跳层;性能评估
Video summarization with a graph convolutional attention network Research Articles
Ping Li, Chao Tang, Xianghua Xu,patriclouis.lee@gmail.com
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 902-913 doi: 10.1631/FITEE.2000429
Keywords: 时序学习;自注意力机制;图卷积网络;上下文融合;视频摘要
Marine target detection based on Marine-Faster R-CNN for navigation radar plane position indicator images Research Article
Xiaolong CHEN, Xiaoqian MU, Jian GUAN, Ningbo LIU, Wei ZHOU,cxlcxl1209@163.com,guanjian_68@163.com
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4, Pages 630-643 doi: 10.1631/FITEE.2000611
Keywords: Marine target detection Navigation radar Plane position indicator (PPI) images Convolutional neural network (CNN) Faster R-CNN (region convolutional neural network) method
Amultimodal dense convolution network for blind image quality assessment Research Article
Nandhini CHOCKALINGAM, Brindha MURUGAN
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1601-1615 doi: 10.1631/FITEE.2200534
Keywords: No-reference image quality assessment (NR-IQA) Blind image quality assessment Multimodal dense convolution network (MDSC-Net) Deep learning Visual quality Perceptual quality
Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks Research Article
Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1848-1861 doi: 10.1631/FITEE.2200035
Keywords: Power systems Vulnerability Cascading failures Multi-graph convolutional networks Weighted line graph
A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG Regular Papers
Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3, Pages 405-413 doi: 10.1631/FITEE.1700413
Reconstruction of a 12-lead electrocardiogram (ECG) from a serial 3-lead ECG has been researched in the past to satisfy the need for more wearing comfort and ambulatory situations. The accuracy and real-time performance of traditional methods need to be improved. In this study, we present a novel method based on convolutional neural networks (CNNs) for the synthesis of missing precordial leads. The results show that the proposed method receives better similarity and consumes less time using the PTB database. Particularly, the presented method shows outstanding performance in reconstructing the pathological ECG signal, which is crucial for cardiac diagnosis. Our CNN-based method is shown to be more accurate and time-saving for deployment in non-hospital situations to synthesize a standard 12-lead ECG from a reduced lead-set ECG recording. This is promising for real cardiac care.
Keywords: Convolutional neural networks (CNNs) Electrocardiogram (ECG) synthesis E-health
Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrent unit Research Articles
Dewen Seng, Fanshun Lv, Ziyi Liang, Xiaoying Shi, Qiming Fang,sengdw@hdu.edu.cn,172050041@hdu.edu.cn,liangziyi2020@163.com,shixiaoying@hdu.edu.cn,fangqiming@hdu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9, Pages 1179-1193 doi: 10.1631/FITEE.2000243
Keywords: 交通流量预测;多图卷积网络;门控循环单元;不规则区域
Emergency and Response for Cyberspace Security
Yu Quan,Yang Lifeng and Gao Guijun、Kou Ziming、Zhai Lidong
Strategic Study of CAE 2016, Volume 18, Issue 6, Pages 79-82 doi: 10.15302/J-SSCAE-2016.06.016
Based on the current situation and main problems with cyberspace security in China, this paper proposes that cyberspace security should shift its focus from emergency to response. Some transformation strategies are proposed, including three aspects: network security-monitoring capacity, network security guarantee capacity, and talents construction capacity.
Keywords: cyberspace security emergency for cyberspace security response for cyberspace security transformation strategy
De-scattering and edge-enhancement algorithms for underwater image restoration Research Papers
Pan-wang PAN, Fei YUAN, En CHENG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6, Pages 862-871 doi: 10.1631/FITEE.1700744
Image restoration is a critical procedure for underwater images, which suffer from serious color deviation and edge blurring. Restoration can be divided into two stages: de-scattering and edge enhancement. First, we introduce a multi-scale iterative framework for underwater image de-scattering, where a convolutional neural network is used to estimate the transmission map and is followed by an adaptive bilateral filter to refine the estimated results. Since there is no available dataset to train the network, a dataset which includes 2000 underwater images is collected to obtain the synthetic data. Second, a strategy based on white balance is proposed to remove color casts of underwater images. Finally, images are converted to a special transform domain for denoising and enhancing the edge using the non-subsampled contourlet transform. Experimental results show that the proposed method significantly outperforms state-of-the-art methods both qualitatively and quantitatively.
Keywords: Image de-scattering Edge enhancement Convolutional neural network Non-subsampled contourlet transform
Li Dan, Zhu Di, Shen Juan
Strategic Study of CAE 2021, Volume 23, Issue 2, Pages 30-38 doi: 10.15302/J-SSCAE-2021.02.005
Future networks demand ubiquitous and interconnected information services in a full-dimensional space. However, the infrastructure and the deriving technology system of the existing satellite Internet still face unprecedented challenges in terms of heterogeneous collaboration, resource efficiency, precision on demand, stability, and reliability. In this article, we analyze the development demand for satellite Internet in China and discuss the development status and trend of satellite Internet worldwide. Subsequently, we elaborate on a typical space–ground cooperative networking architecture and full-dimension definable network nodes. Ultimately, we propose the key intelligent-slicing technologies for a space–ground cooperative network in terms of network intelligent slicing, data analysis and forwarding, and the resource coordination and control mechanism. Furthermore, a development route is proposed for the intelligent slicing technology. Breakthroughs should be made on key technologies such as the businesson-demand intelligent slicing, data analysis and forwarding with full-dimension definability, and the global source coordination and control technologies; these breakthroughs should rely on the space–ground cooperative network architecture and supported by technologies such as network resource management and control, network intelligence, and full-dimension definability of the network architecture. This will ultimately provide continuous impetus for the innovation of the global dynamic optimization technology of the space–ground cooperative network resources.
Deep 3D reconstruction: methods, data, and challenges Review Article
Caixia Liu, Dehui Kong, Shaofan Wang, Zhiyong Wang, Jinghua Li, Baocai Yin,lcxxib@emails.bjut.edu.cn,wangshaofan@bjut.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5, Pages 615-766 doi: 10.1631/FITEE.2000068
Keywords: 深度学习模型;三维重建;循环神经网络;深度自编码器;生成对抗网络;卷积神经网络
Recent advances in efficient computation of deep convolutional neural networks Review
Jian CHENG, Pei-song WANG, Gang LI, Qing-hao HU, Han-qing LU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 64-77 doi: 10.1631/FITEE.1700789
Keywords: Deep neural networks Acceleration Compression Hardware accelerator
Aggregated context network for crowd counting
Si-yue Yu, Jian Pu,51174500148@stu.ecnu.edu.cn,jianpu@fudan.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11, Pages 1535-1670 doi: 10.1631/FITEE.1900481
Keywords: 人群计数;卷积神经网络;密度估计;语义分割;多任务学习
Shot classification and replay detection for sports video summarization Research Article
Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5, Pages 790-800 doi: 10.1631/FITEE.2000414
Keywords: Extreme learning machine Lightweight convolutional neural network Local octa-patterns Shot classification Replay detection Video summarization
Innovative Development Strategy of New Network Technologies
Li Dan, Hu Yuxiang, Wu Jiangxing
Strategic Study of CAE 2021, Volume 23, Issue 2, Pages 15-21 doi: 10.15302/J-SSCAE-2021.02.003
The ever-increasing demand for new businesses and the continuous development of the Internet economy have increasingly demanded network communications and service capabilities, and the infrastructure and the deriving technology system of the existing network still face a series of major challenges. New network architectures and key technologies have become the core of a new round of technological revolution and industrial upgrading in the world. Therefore, studying the strategic conception and development paths of new network technology innovation becomes an urgent need for China. In this article, we analyze the challenges faced by the current network technology, discuss the development status of new network fields in China and abroad, and summarize the development trend of new network technologies. Subsequently, we summarize the gaps and development goals of China in the new network field. Finally we propose the key technologies for the new network development in China, including new network architecture, network fulldimension definable technology, polymorphic addressing and routing technology, network intelligence technology, and endogenous security structure. From the aspect of technology roadmap, we suggest that an open, integrated, and secure new architecture should be established to build a new network environment that is intelligent, diversified, personalized, robust, and efficient. From the aspect of national policy, we suggest that support policies should be formulated regarding technology research and development, industrial ecology construction, and market access.
Title Author Date Type Operation
Multi-focus image fusion based on fully convolutional networks
Rui Guo, Xuan-jing Shen, Xiao-yu Dong, Xiao-li Zhang,zhangxiaoli@jlu.edu.cn
Journal Article
Video summarization with a graph convolutional attention network
Ping Li, Chao Tang, Xianghua Xu,patriclouis.lee@gmail.com
Journal Article
Marine target detection based on Marine-Faster R-CNN for navigation radar plane position indicator images
Xiaolong CHEN, Xiaoqian MU, Jian GUAN, Ningbo LIU, Wei ZHOU,cxlcxl1209@163.com,guanjian_68@163.com
Journal Article
Amultimodal dense convolution network for blind image quality assessment
Nandhini CHOCKALINGAM, Brindha MURUGAN
Journal Article
Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutional networks
Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN
Journal Article
A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG
Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU
Journal Article
Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrent unit
Dewen Seng, Fanshun Lv, Ziyi Liang, Xiaoying Shi, Qiming Fang,sengdw@hdu.edu.cn,172050041@hdu.edu.cn,liangziyi2020@163.com,shixiaoying@hdu.edu.cn,fangqiming@hdu.edu.cn
Journal Article
Emergency and Response for Cyberspace Security
Yu Quan,Yang Lifeng and Gao Guijun、Kou Ziming、Zhai Lidong
Journal Article
De-scattering and edge-enhancement algorithms for underwater image restoration
Pan-wang PAN, Fei YUAN, En CHENG
Journal Article
Networking Architecture and Slicing Technology of Space–Ground Cooperative Network Based on Full-Dimension Definability
Li Dan, Zhu Di, Shen Juan
Journal Article
Deep 3D reconstruction: methods, data, and challenges
Caixia Liu, Dehui Kong, Shaofan Wang, Zhiyong Wang, Jinghua Li, Baocai Yin,lcxxib@emails.bjut.edu.cn,wangshaofan@bjut.edu.cn
Journal Article
Recent advances in efficient computation of deep convolutional neural networks
Jian CHENG, Pei-song WANG, Gang LI, Qing-hao HU, Han-qing LU
Journal Article
Aggregated context network for crowd counting
Si-yue Yu, Jian Pu,51174500148@stu.ecnu.edu.cn,jianpu@fudan.edu.cn
Journal Article
Shot classification and replay detection for sports video summarization
Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk
Journal Article