2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)最新文献_第3页

Pointing Accuracy Test Practice of Airborne Active Phased Array Radar 机载有源相控阵雷达指向精度测试实践

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00087

Huang Zhiqiang, Liu Shangguang

引用次数: 0

Video Infrared Small Target Detection Combining Hybrid Attention with Cross-Scale Feature Fusion 混合注意与跨尺度特征融合的视频红外小目标检测

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00095

Zaiping Lin, Yihang Luo, Qi Ling, Tianhao Wu, Chao Xiao, Boyang Li

{"title":"Video Infrared Small Target Detection Combining Hybrid Attention with Cross-Scale Feature Fusion","authors":"Zaiping Lin, Yihang Luo, Qi Ling, Tianhao Wu, Chao Xiao, Boyang Li","doi":"10.1109/ICFEICT57213.2022.00095","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00095","url":null,"abstract":"Infrared small target detection is widely used in marine resource utilization, high-precision navigation, ecological environment monitoring, and other fields. Traditional detection methods rely on manual feature templates and prior knowledge, which are not robust in complex scenarios. Although achieving promising results, existing deep learning-based methods mainly focus on single-frame target detection. They heavily rely on spatial information of small targets, which cannot generalize well on visually non-salient scenarios. This paper aims at fully fusing temporal and spatial information with a newly designed hybrid-attention and cross-layer feature fusion module. Specifically, we take continual infrared small target frames as input and sequentially process the frames with 3D feature extraction and a 3D hybrid attention module. 3D cross-scale and fusion module (3D-CFM) can ensure the interactive fusion between the underlying structural information and the deep high-level semantic information, both in the spatial and temporal dimensions. Based on the 3D hybrid attention module (3D-HAM), we can enhance the response of target features in the deep layer of the network, and thus further increase the response of the target. To prove the effectiveness of our method, we developed a video infrared small target dataset, which contains 19 infrared small target sequences. They are synthesized by real infrared background scenes with various, moving virtual infrared targets. Experimental results demonstrate the superiority of our method on the probability of detection (Pd) and false alarm (Fa).","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125292705","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

Contextual Attention Enhanced Network for Salient Object Detection in Optical Remote Sensing Images 基于上下文注意增强的光学遥感图像显著目标检测网络

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00107

Lulu Liu, Ronglei Xie, Jiahui Zhang, Z. Meng

{"title":"Contextual Attention Enhanced Network for Salient Object Detection in Optical Remote Sensing Images","authors":"Lulu Liu, Ronglei Xie, Jiahui Zhang, Z. Meng","doi":"10.1109/ICFEICT57213.2022.00107","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00107","url":null,"abstract":"Salient object Detection (SOD) have witnessed huge success in nature scene images (NSIs), however, they are unable to deal with SOD for optical remote sensing images (ORSIs). Although recent efforts on SOD for optical RSIs have achieved impressive results, we still face significant challenges due to cluttered backgrounds, multi-scale objects, and complex imaging conditions. To remedy the issue, we propose an original contextual attention enhanced network (CoAENet) for SOD in ORSIs, including contextual attention enhancer and detail refinement module. Specifically, contextual attention enhancer can mine the contextual attention information from the coarse-grained feature maps, which can improve the expressiveness of the fine-grained feature maps. The detail refinement module can learn the specific information of salient objects to refine the predicted results. Meanwhile, to improve the performance of the model from two perspectives of pixel and region, a hybrid loss is designed. Experimental results on two baseline datasets prove CoAENet successes to improve the detection results compared with existing methods. It reveals CoAENet provides an effective solution for SOD in ORSIs.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123638","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: 1

Intelligent CFAR detector against interference of multiple targets 抗多目标干扰的智能CFAR探测器

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00021

Dongsheng Zhu, Xiaojing Su, ZhiXun Ma, Yingjie Shi

引用次数: 0

Efficient and Privacy-Preserving Outsourced Calculation with Multiple Keys Using Chinese Remainder Theorem 基于中国剩余定理的多密钥高效保密外包计算

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00084

Zhengkai Li, Zhenfu Cao, Jiachen Shen, Xiaolei Dong

{"title":"Efficient and Privacy-Preserving Outsourced Calculation with Multiple Keys Using Chinese Remainder Theorem","authors":"Zhengkai Li, Zhenfu Cao, Jiachen Shen, Xiaolei Dong","doi":"10.1109/ICFEICT57213.2022.00084","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00084","url":null,"abstract":"We propose a new scheme for privacy-preserving outsourced calculation. With the help of this scheme, a user on a local host can securely transfer his sensitive information to a cloud platform for processing and storage avoiding disclosing the original information to the unreliable cloud and prying eyes. In addition, the Cloud Platform (CP) can carry out specifical operations on ciphertexts with the help of a Cryptographic Service Provider (CSP) according to the user's requests and send the results to user in the form of ciphertext. Furthermore, data encrypted with multiple keys can also be calculated together, and the computed results will be decrypted by an authorized receiver. We not only implement addition and multiplication operations on ciphertexts, but also design an efficient comparison protocol on ciphertexts (the operations are all in encrypted domain). We then show the security of our encryption and the suggested secure computation sub-protocols. We use a one-way trapdoor permutation and a symmetric somewhat homomorphic encryption as the framework's building blocks rather than the fully homomorphic encryption (FHE) technique. Finally, we use simulations to show the effectiveness and extraordinary efficiency of our suggested scheme.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131741298","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

Research on Contactless Power Transmission Technology of Radar Antenna Based on Electromagnetic Resonance Coupling 基于电磁共振耦合的雷达天线非接触输电技术研究

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00014

Yawei Song, Kai Yan, Wei Han, Hao Tu, Zehao Ye, Pei Zhu

引用次数: 0

Parallel Computing Based on FPGA for 3D Edge Routing Optimization 基于FPGA的并行计算三维边缘路由优化

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00085

Xue Xiaohong, Z. Chao, Wu Chunchun, Li Jiatong, Wang Jiarun, Chen Yuping

{"title":"Parallel Computing Based on FPGA for 3D Edge Routing Optimization","authors":"Xue Xiaohong, Z. Chao, Wu Chunchun, Li Jiatong, Wang Jiarun, Chen Yuping","doi":"10.1109/ICFEICT57213.2022.00085","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00085","url":null,"abstract":"In the three-dimensional image display, which is used for simulated war, the visualization of military targets' relationship needs to have both authenticity and real-time. However, due to the influence of the curvature of the earth and the undulation of the terrain, the connection between military targets will appear the phenomenon of “the edges pierce through the model of the terrain”, In addition, the domestic CPU has low computation performance, which can not meet the real-time requirements of visual computing. In order to solve these problems, firstly, a terrain constrained 3D Edge Routing optimization method is proposed, which effectively solves the problem of mountain perforation in the process of network situation rendering; At the same time, in view of the large number of network computing needs, FPGA is used to accelerate parallel computing, the processing performance is 57.45 times higher than that of CPU computing, which greatly reduces the display delay and effectively ensures the authenticity and high real-time of three-dimensional target relationship visualization.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132112202","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

HMM Inception-Restnet Network Classifier for Manchu Word Recognition 满语词识别的HMM Inception-Restnet网络分类器

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00098

Min Yang, Dadong Wang, Zhaoyi Li, XiaoPen Yu

引用次数: 0

A Linear Array Optimization Method Based on Near-Field Manifold 基于近场流形的线性阵列优化方法

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00068

Jiaqi Song, Lu Wang

引用次数: 0

A Latency-resource Aware FPGA Implementation of TCAM-based FIB 基于tcam的FIB延迟资源感知FPGA实现

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00025

Keran Zhang, Nailiang Kuang, Sheng Zhong, Hangzai Luo

引用次数: 1