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

Research and Experiment on Dynamic Multi-agility Waveform of Radar in Anti-main-lobe Jamming 雷达抗主瓣干扰动态多敏捷波形研究与实验

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00011

Yifei Yan, Yingjun Li

{"title":"Research and Experiment on Dynamic Multi-agility Waveform of Radar in Anti-main-lobe Jamming","authors":"Yifei Yan, Yingjun Li","doi":"10.1109/ICFEICT57213.2022.00011","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00011","url":null,"abstract":"With the gamble of electronic warfare updating and the development of both modern radar system and electronic jammer, application of multi-domain agility waveform, especially Frequency-agile coherent (FAC) radar has been obtaining more attraction for its advantages in low probability of intercept. Therefore, research on waveform design of agile pattern among multi domain and its fast coherent signal processing are of great value for practical application, especially for defense radar which is faced with fatal main lobe jamming and strong clutters. In order to solve the issues above, a method on jamming detection and anti-jamming strategy decision is raised up first. Then, the method on phase-coherent accumulation by estimating the phase variation steer caused by frequency agility between inter-pulse is proposed. At the same time, establishment and use of adaptive clutter rejection weight is appended after target parameter searching, thus achieving the clutter suppression and target echo phase-coherent accumulation. The efficiency of the method above is demonstrated by both simulation and real field test in this paper, and the conclusion can be made that the method which runs through jamming environment perception, multi-agility waveform dispatching and coherent accumulation detection is significantly enhanced.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"26 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":"130470015","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

Real-time Self-damage Sensing of CFRP Laminates under Static Three Points Bending CFRP层合板静态三点弯曲自损伤实时感知

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00026

Danqi Zhang, Ronghua Zhang, Honoré Hn Nyembwe, Junhua Cheng

{"title":"Real-time Self-damage Sensing of CFRP Laminates under Static Three Points Bending","authors":"Danqi Zhang, Ronghua Zhang, Honoré Hn Nyembwe, Junhua Cheng","doi":"10.1109/ICFEICT57213.2022.00026","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00026","url":null,"abstract":"In this paper an in-situ self-damage sensing of a bi-directional carbon fiber reinforced polymer (CFRP) composites using electrical resistance measurement is presented. Three configurations of Four probes: surface, through-thickness, and oblique probes was used for data collection while the composite is subjected in quasi-static three points bending loading. Upon loading, composite realtime monitored electrical resistance increased continuously until complete failure for all electrodes configurations. Oblique electrodes configuration proved to be more suitable and sensitive for damage investigation due to good agreement between measured load-deflection and simulated results obtained from a developed COMSOL Multiphysics Numerical model. On this consideration, three mains stages have been retained for the composite damage process characterization: No significant damages stage due to fibers elasticity behavior, minor damages stage where partial fiber breakage, inter-ply delamination and fiber buckling occurs and finally the major damages stage denoted by an abrupt electrical resistance due to the composite sudden and complete failure.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"128 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":"134268782","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

End-to-end Modeling for Chinese Dialect Speech Recognition 汉语方言语音识别的端到端建模

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00057

Lin Liu, Si-an Fang, Junhua Liu, Jing-Yi Xu, Lirong Dai

引用次数: 0

An Integrated Service Bus Based on Microservice 基于微服务的集成服务总线

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00101

Jin Zhang, Ming Shu, Cheng Sun, Yiqi Huang

{"title":"An Integrated Service Bus Based on Microservice","authors":"Jin Zhang, Ming Shu, Cheng Sun, Yiqi Huang","doi":"10.1109/ICFEICT57213.2022.00101","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00101","url":null,"abstract":"The traditional ESB brings great complexity to the enterprise information construction and digital transformation due to its centralized design, which is difficult to meet the flexible service iteration and demand delivery. In this paper, an integrated service bus model based on micro-service (ISB-MS) is proposed. The service management and monitoring routing are realized through the micro-service architecture, and the unified management of enterprise information system interfaces is realized through two data interaction methods. The model uses Kafka as the message communication middleware, provides asynchronous message interaction interfaces, and increases the reliable transmission mechanism of identity authentication and data backup. The throughput of the ISB-MS model is maintained at about 40000Byte. At the same time, it can reduce the time overhead of data interaction, shorten the response time, and reduce the error rate of data interaction. The model has been running stably in a hospital information construction for three months, achieving the goal of high reliability, high efficiency and high scalability of data interaction.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"81 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":"132171663","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

EFP-Net: High-Precision Remote Sensing Image Object Detection EFP-Net:高精度遥感图像目标检测

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00091

Lin Weihao, Pingbo Wu, Qian Pan, Jingwen Yan

{"title":"EFP-Net: High-Precision Remote Sensing Image Object Detection","authors":"Lin Weihao, Pingbo Wu, Qian Pan, Jingwen Yan","doi":"10.1109/ICFEICT57213.2022.00091","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00091","url":null,"abstract":"Due to its advantages of high resolution and wide capturing range, satellite remote sensing images have been widely used in object detection nowadays. Nevertheless, the multi-scale character of satellite remote sensing images poses difficulties to our research and applications. To solve this problem, most people choose to use a convolution neural network (CNN) for feature extraction. However, the existing methods are not able to extract useful information efficiently and accurately. This paper proposes a new feature extraction network based on ResNet50, which introduces an Atrous convolution module to enhance the feature extraction of the object. On this basis, we propose an Enhanced Feature Pyramid Network (EFPN), which can effectively extract the multi-scale information by Bi-directional feature fusion. Furthermore, experiments were conducted in three datasets, Dota, NWPU VHR-10, and UCAS-AOD, in which the detection accuracy on NWPU VHR-10 reached 98.2%. The experiments show that our method not only improve the efficiency of multi-scale detection, but also greatly promote detection accuracy.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"68 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":"124414207","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

Lightweight of Intelligent Real-Time Detection Model Based on YOLO-v4 基于YOLO-v4的智能实时检测模型轻量化

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00052

Junfeng Cui, Donglin Wang, Haibing Li, Wenbin Zhang, Junming Zhang, Guoliang Zhang

{"title":"Lightweight of Intelligent Real-Time Detection Model Based on YOLO-v4","authors":"Junfeng Cui, Donglin Wang, Haibing Li, Wenbin Zhang, Junming Zhang, Guoliang Zhang","doi":"10.1109/ICFEICT57213.2022.00052","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00052","url":null,"abstract":"With the gradual maturation of smart power grids and modern image processing technology, intelligent detection system based on substation is widely used. For the real-time requirements of substation intelligent inspection, this paper proposes the model of intelligent inspection of substation with light weight target detection. Firstly, the MobileNet network is introduced to build the lightweight backbone feature extraction network. Secondly, the module of multi-scale feature fusion is constructed to obtain more feature information. Finally, the scaling factor pruning model channel is introduced to build the model for lightweight target recognition. The proposed algorithm is compared with an existing algorithm in the simulation of the three datasets of Safety helmet (hardhat) wearing detect dataset, Hard Hat Workers dataset, Safety Helmet Detection dataset. Extensive experiments show that the proposed algorithm is more effective. The average recognition accuracy of the proposed algorithm is 0.932, and up to 38 frames per second are processed.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"25 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":"128811329","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

A Broadband Power Divider Based on SISL Platform 一种基于SISL平台的宽带分配器

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00040

Zhenyu Wang, Yongqiang Wang, Kaixue Ma

引用次数: 0

A Credible and Lightweight Blockchain for IOT's Data Storage and Access 物联网数据存储和访问的可信和轻量级区块链

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00072

Yuhang Wu, Zhenfu Cao, Jiachen Shen, Xiaolei Dong

引用次数: 0

A High-performance MIMO-OFDM VLC System Based on OCT Precoding 基于OCT预编码的高性能MIMO-OFDM VLC系统

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00042

Chuxian Wang, Ning Xin, Zhiyong Luo

{"title":"A High-performance MIMO-OFDM VLC System Based on OCT Precoding","authors":"Chuxian Wang, Ning Xin, Zhiyong Luo","doi":"10.1109/ICFEICT57213.2022.00042","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00042","url":null,"abstract":"Superposed constellation modulation schemes combined with spatial multiplexing (SMP) have been proposed for multiple-input multiple-output (MIMO) visible light communication (VLC) system to achieve multiplexing gain and eliminate the influence of high correlated channels. However, it always needs a strict power ratio between transmitters. As the luminous efficiency of light-emitting diodes (LED) is affected by working time and temperature, it is difficult to ensure that the power ratio between transmitters is always constant. In this paper, a high-performance MIMO VLC system based on orthogonal circulant matrix transform (OCT) precoding is proposed to relax the strict requirements for power ratio between LEDs, where constellation collaborated space-time block coding (CC-STBC) is considered and orthogonal frequency division multiplexing (OFDM) is applied to combat frequency selective fading of channels. Simulation results indicate that the performance of the proposed system is the best when compared with the Zadoff-Chu matrix transform-based precoding STBC (ZCT-CC-STBC) and CC-STBC systems. Considering the 7% pre-forward error correction (pre-FEC) bit error ratio (BER) threshold of 3.8×10−3, the proposed system obtains a larger region of power ratio as compared to the optimal power ratio CC-STBC system. It indicates that the strict requirements for power ratio between LEDs can be re-laxed, as is simultaneously a solution for performance loss caused by the LED emission power reduction.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"31 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":"121328076","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

Acceptance of Chatbot based on Emotional Intelligence through Machine Learning Algorithm 通过机器学习算法实现基于情绪智能的聊天机器人

2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT) Pub Date : 2022-08-01 DOI: 10.1109/ICFEICT57213.2022.00111

Akter Rokaya, Shuvo Md Touhidul Islam, Haotian Zhang, Liming Sun, Ming Zhu, Lianjun Zhao

{"title":"Acceptance of Chatbot based on Emotional Intelligence through Machine Learning Algorithm","authors":"Akter Rokaya, Shuvo Md Touhidul Islam, Haotian Zhang, Liming Sun, Ming Zhu, Lianjun Zhao","doi":"10.1109/ICFEICT57213.2022.00111","DOIUrl":"https://doi.org/10.1109/ICFEICT57213.2022.00111","url":null,"abstract":"In Artificial Intelligence, machine learning involves analyzing data and algorithms to improve accuracy and make human life more comfortable. In recent years, Artificial Intelligence strategies have been successfully applied to a wide range of educational purposes, including chatbots. Chatbot is an Artificial Intelligence tool that helps to improve academic strategies through its automated and intelligent features which enable the educational industry to develop students' learning abilities. Hence, the current study's goal is to combine the technology acceptance model (TAM) and emotional intelligence (EI) theory to evaluate the elements influencing the adoption of chatbot applications by implementing the proposed theoretical model. The qualitative result was evaluated through a questionnaire survey and data was collected from international students who have already experienced using chatbot applications in their university. Here, to examine the data and comprehend the relationship between the study models, machine learning method was used. After the investigation, according to the study's findings, Simple Logistic, Iterative Classifier Optimizer, and LMT classification classifiers had higher accuracy in predicting users' intention to use chatbots than 97.95% of the other classification classifiers. It is believed that the findings of the research will provide direction for students to promote chatbots better within educational activities in the future.","PeriodicalId":175659,"journal":{"name":"2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)","volume":"45 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114111713","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