2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)最新文献_第7页

Pursuit-Evasion Game of Unmanded Surface Vehicles Based on Deep Reinforcement Learning 基于深度强化学习的无人水面车辆追逃博弈

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176487

Xin Wang, Yue-ying Wang, Weixiang Zhou, Jiaming Zhang

引用次数: 0

The Function of Crop pest and disease identification based on the improved ConvNeXt Network model 基于改进ConvNeXt网络模型的作物病虫害识别功能研究

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176546

Hailang Chen, Yuan-Hau Liao

{"title":"The Function of Crop pest and disease identification based on the improved ConvNeXt Network model","authors":"Hailang Chen, Yuan-Hau Liao","doi":"10.1109/ICECAI58670.2023.10176546","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176546","url":null,"abstract":"A ConvNeXt-ECA network model based on the improved ConvNeXt network is designed for the problem that the pest identification method based on traditional machine learning and simple neural network is not ideal for crop pest identification with unbalanced data, unclear features and multiple categories. The model is based on the ConvNeXt network model as the backbone network, using migration learning to achieve the sharing of pre-trained weight parameters and combining with the attention mechanism to enhance the feature fusion capability. Finally, 16 plant species with a total of 27 types of diseases were studied with a total of 34,200 images, and the training set, validation set and test set were divided in the ratio of 6:2:2. The model converged significantly faster during the experimental training compared with VGG19, GoogLeNet, ResNet50 and ConvNeXt networks. The experimental results show that the accuracy of the improved ConvNeXt network-based crop pest and disease intelligent recognition model reaches 96.73%, while the ablation experiments demonstrate the improvement of the model performance by the optimization method proposed in this paper.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127988427","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

Multicarrier NOMA Power Allocation Strategy Based on Adaptive Particle Swarm Optimization Algorithm 基于自适应粒子群优化算法的多载波NOMA功率分配策略

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176543

Xinghu Jin, Shaopei Ji, Yanhong Liu, Weibing Zhu, Liang Jin, Xinyu Ming

{"title":"Multicarrier NOMA Power Allocation Strategy Based on Adaptive Particle Swarm Optimization Algorithm","authors":"Xinghu Jin, Shaopei Ji, Yanhong Liu, Weibing Zhu, Liang Jin, Xinyu Ming","doi":"10.1109/ICECAI58670.2023.10176543","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176543","url":null,"abstract":"As non-orthogonal multiple access technology can achieve higher system throughput, spectrum efficiency and energy efficiency than traditional orthogonal access technology, it has become a research hotspot of 5G multiple access technology. In this paper, a power allocation strategy based on adaptive particle swarm optimization is proposed to optimize the energy efficiency of NOMA downlink system. Firstly, aiming at the defects of conventional particle swarm optimization algorithm, an adaptive particle swarm optimization algorithm based on diversity driven (PDD-APSO) is proposed; Then an optimization model based on energy efficiency maximization is established, and PDD-APSO algorithm is used to solve the objective function of maximizing system energy efficiency. The research results show that the PDD-APSO algorithm improves the convergence speed and precision, and the global search ability is significantly improved compared with other existing PSO algorithms; At the optimal power distribution point, the PDD-APSO algorithm can significantly improve the system energy efficiency.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134109249","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 single target jamming parameter optimization based on particle swarm optimization 基于粒子群算法的单目标干扰参数优化研究

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176864

Zhixun Zhang, Rengang Li, Yiming Wang, Yuandong Shi

{"title":"Research on single target jamming parameter optimization based on particle swarm optimization","authors":"Zhixun Zhang, Rengang Li, Yiming Wang, Yuandong Shi","doi":"10.1109/ICECAI58670.2023.10176864","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176864","url":null,"abstract":"In order to achieve effective jamming, it is often necessary to select jamming patterns according to expert experience in radar electronic countermeasures. However, different jamming patterns correspond to a large number of variable parameters a large range of parameters, a large space of inverted parameters, and it is difficult to set the optimal jamming parameters. The application of particle swarm optimization in single target jamming parameter optimization is studied in this work. Construct jamming income function according to jamming incentives of different jamming patterns. The particle swarm optimization algorithm is used to optimize the jamming parameters of different jamming styles and output the optimal parameters and corresponding jamming signals. The research shows that the algorithm model can be quickly optimized in multi-dimensional apace by designing a reasonable jamming revenue function, which can realize the rapid the threat jamming target, and can significantly improve the adaptive jamming waveform generation ability of the jamming to various types of radars.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132401563","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

Intermediate pressure analysis of cascade heat pump system based on characteristic variable selection 基于特征变量选择的梯级热泵系统中间压力分析

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176726

Dongfang Yang, Zhixin Li, Weiqing Zhou, Jilong Zhang

引用次数: 0

Density Peak Clustering Based on Global Density 基于全局密度的密度峰值聚类

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176471

Min Li, William Zhu

引用次数: 0

CIPTA: Contrastive-based Iterative Prompt-tuning Using Text Annotation from Large Language Models 使用大型语言模型的文本注释的基于对比的迭代提示调优

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176586

Yuan Yan, Wenzhuo Du, Di Yang, Dechun Yin

{"title":"CIPTA: Contrastive-based Iterative Prompt-tuning Using Text Annotation from Large Language Models","authors":"Yuan Yan, Wenzhuo Du, Di Yang, Dechun Yin","doi":"10.1109/ICECAI58670.2023.10176586","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176586","url":null,"abstract":"In recent years, public opinion analysis has become increasingly important due to the widespread use of social media platforms and the growing influence of online information on public security. Prompt tuning, a typical few-shot learning method, ensures that the model quickly adapts to opinion analysis with different classification rules. However, existing prompt tuning for opinion analysis cannot guarantee the effectiveness of the model in zero-shot or one-shot cases. In this study, we propose the Contrastive-based Iterative Prompt-tuning method using Text-Annotation from Large Language Models (LLMs), CIPTA, for low-resource public opinion analysis. Specifically, with a small amount of manually labeled data, CIPTA leverages the knowledge from LLMs to text annotation and utilizes unsupervised contrastive embedding training to optimize text representation. Based on the prompt tuning method and the iterative training over unlabeled data, the model further utilizes the knowledge from the pre-training stage. Experiment results on tweet data show that our CIPTA achieves encouraging performance in public opinion analysis.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124495338","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

Evaluation criterion of space surveillance sensor scheduling based on relative orbit analysis 基于相对轨道分析的空间监视传感器调度评价准则

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176684

Jiakang Shen, Junling Wang, Mengqi Zhao, Peng Lv

{"title":"Evaluation criterion of space surveillance sensor scheduling based on relative orbit analysis","authors":"Jiakang Shen, Junling Wang, Mengqi Zhao, Peng Lv","doi":"10.1109/ICECAI58670.2023.10176684","DOIUrl":"https://doi.org/10.1109/ICECAI58670.2023.10176684","url":null,"abstract":"The rapid growth of the number of space targets leads to the shortage of sensor observation resources in the space surveillance network. Improving the efficiency of sensor scheduling helps to alleviate the observation pressure of the space surveillance network. In this paper, a unified observation model of space-based sensors and ground-based sensors for space targets is established based on the relative orbit of space targets. Based on the covariance matrix, a criterion function for calculating the scheduling efficiency of space surveillance network sensors is proposed, and the analytical solution of the scheduling criterion function under the assumption of plane circular orbit is given. The analytical solution can be used to analyze the influence of observation geometry, observation accuracy, observation times and other factors on scheduling efficiency. Finally, the influence of observation geometry on radar sensor scheduling efficiency is simulated and analyzed. The simulation results show that the orbit uncertainty decreases with the increase of the observation geometric angle under the same observation resources, therefore the radar sensor scheduling efficiency increases with the increase of the observation geometric angle. This conclusion is applicable to both space-based and ground-based radar sensors.","PeriodicalId":189631,"journal":{"name":"2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124552702","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

Access Latency Minimization for Aerial Data Collection Networks with NOMA 基于NOMA的航空数据采集网络接入延迟最小化

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176633

Zihan Zhou, D. Zhai, Wenxin Tang, Caina Qin, Zhangjie Cai

引用次数: 0

Design and Development of Emotional Analysis System for Chinese Online Comment Text 中文网络评论文本情感分析系统的设计与开发

2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI) Pub Date : 2023-05-12 DOI: 10.1109/ICECAI58670.2023.10176889

J. Yao, Q. Hu, Tianyi Zhou, Yilin Wang

引用次数: 0