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2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)最新文献

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Implementation of GraphFrames-Based Parallelized Label Propagation Algorithm in Clusters 基于graphframe的并行标签传播算法在集群中的实现
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00053
Jianxia Wang, Yu Shi, Yunfeng Xu
{"title":"Implementation of GraphFrames-Based Parallelized Label Propagation Algorithm in Clusters","authors":"Jianxia Wang, Yu Shi, Yunfeng Xu","doi":"10.1109/ICCEAI55464.2022.00053","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00053","url":null,"abstract":"In the era of big data, the number of network users has exploded, the number of network nodes has increased, and the association relationships between nodes have become more intricate. Ordinary university students who lack a big data experimental environment have been unable to use the traditional label propagation algorithm to deal with large-scale complex network data efficiently. To solve these problems, this paper proposes a parallelized label propagation algorithm based on GraphFrames. Firstly, a multi-node big data cluster environment is built by using the existing computer room resources of universities, and GraphFrames is used to parallelize the label propagation algorithm in the cluster environment. Experiments show that the parallelized label propagation algorithm based on GraphFrames can easily cope with large-scale complex networks with millions of data nodes. The relationship between the running time of the algorithm and the number of nodes in the cluster is explored by varying the number of nodes in the cluster; In terms of the community division effect of the algorithm, the F _Measure value of the large-scale complex network with one million levels can be stably maintained at about 60%, and the F _Measure value of the small-scale real social network is improved by 20% compared with other traditional community discovery algorithm.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123903214","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 new multiple targets tracking algorithm based on improved MHT algorithm 一种基于改进MHT算法的多目标跟踪算法
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00015
Wei Sun, Yu Han
{"title":"A new multiple targets tracking algorithm based on improved MHT algorithm","authors":"Wei Sun, Yu Han","doi":"10.1109/ICCEAI55464.2022.00015","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00015","url":null,"abstract":"In this paper, a bearing pretreatment method suitable for passive sonar tracking is proposed, when the ocean background noise fluctuation is large, the weak target can also be detected and tracked through the adaptive adjustment of the threshold. The principle and characteristics of the conventional multi-hypothesis tracking algorithm is explored in this paper, we propose a bearing information pre-processing method suitable for passive sonar tracing and an improved MHT method based on Kalman prediction framework. Finally, automatic tracking problem with multi-targets based on bearing crossing and ocean background fluctuations can be achieved. The simulation data proves that this method is reliable and practical.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129081906","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
Image Enhancement Method Based on Dark Channel Prior 基于暗通道先验的图像增强方法
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00050
Dan Li, Hanqin Shi, Hong Wang, Weiwei Liu, Likai Wang
{"title":"Image Enhancement Method Based on Dark Channel Prior","authors":"Dan Li, Hanqin Shi, Hong Wang, Weiwei Liu, Likai Wang","doi":"10.1109/ICCEAI55464.2022.00050","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00050","url":null,"abstract":"According to the characteristics of foggy images, such as high noise, low resolution and uneven illumination, an improved foggy image enhancement method based on dark channel priority is proposed, which solves the problems of that the color of large area is uneven and the overall color of the image is dark when the traditional dark channel prior method is used to remove fog. Firstly, the new algorithm refines the transmittance and optimizes the atmospheric light value, and converts the restored image to HSV space. Secondly, the brightness V component is enhanced by MSRCR algorithm improved by bilateral filtering, and the saturation S is improved by adaptive stretching algorithm. Finally, the image is converted from HSV space to RGB space to complete image enhancement. The experimental results show that from subjective evaluation and quantitative analysis the new algorithm overcomes the shortcomings of noise amplification and edge blur when the conventional enhancement algorithm enhances the image. It can improve image darkening and avoid image distortion. It has a good effect on preserving the edge information and has good adaptability and stability for fog image enhancement.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127582991","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
Eye-tracking-based robotic arm control system 基于眼动追踪的机械臂控制系统
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00141
Zichen Kong, S. Rao, Hui Yang, Wenli Lan, Y. Leng, S. Ge
{"title":"Eye-tracking-based robotic arm control system","authors":"Zichen Kong, S. Rao, Hui Yang, Wenli Lan, Y. Leng, S. Ge","doi":"10.1109/ICCEAI55464.2022.00141","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00141","url":null,"abstract":"People with severe speech and motor impairments are unable to actively use their muscles, with the result being that they have difficulty communicating with the external world. In this study, we developed a non-invasive robot-arm control system based on eye tracking. We conducted a user-centered design process with eight commands and an intermediate real-time video transmission user interface after fully considering the spatial characteristics of the robotic arm. Additionally, we evaluated three eye-gaze point processing algorithms. Among them, density-based spatial clustering applied with a noise algorithm achieved an average accuracy of 99.3%. On this basis, we designed and conducted offline experiments, in which all five participants were able to send commands with accuracy higher than 99% for a total of 80 random commands.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120967238","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 Unilateral Compensation Network With Any Constant Current Output in WPT System WPT系统中具有任意恒流输出的单边补偿网络
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00119
Feng Fan, Qingbin Chen
{"title":"A Unilateral Compensation Network With Any Constant Current Output in WPT System","authors":"Feng Fan, Qingbin Chen","doi":"10.1109/ICCEAI55464.2022.00119","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00119","url":null,"abstract":"The compensation network in the wireless power transfer (WPT) system directly affects the performance of the system and is one of the research focuses in the WPT technology. Considering that the transmitter side and the receiver side are challenging to resonate simultaneously in the existing compensation network, the compensation capacitance of the transmitter side cannot be used in some special applications. Based on the multi-solvability of the transformer T-network model, this paper deduces the principle of unilateral compensation to achieve constant voltage or constant current output. It proposes a series-parallel (/SP) compensation network structure that can realize any stable current output characteristics. The structure obtains different transfer admittance characteristics by compensating and controlling the leakage inductance impedance on the receiver side. The experimental results verify the correctness and feasibility of the theoretical analysis.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927383","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
Exploring Hierarchical Language Knowledge in Graph Neural Networks for Fake News Detection 基于图神经网络的分层语言知识在假新闻检测中的应用
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00137
Fan Xu, Minghao Li, Shuixiu Wu, Qi Huang, Keyu Yan, Mingwen Wang
{"title":"Exploring Hierarchical Language Knowledge in Graph Neural Networks for Fake News Detection","authors":"Fan Xu, Minghao Li, Shuixiu Wu, Qi Huang, Keyu Yan, Mingwen Wang","doi":"10.1109/ICCEAI55464.2022.00137","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00137","url":null,"abstract":"Fake news can be propagated quickly across online microblogs, resulting in a series of adverse impacts on our daily lives. Traditional fake news detection models focus on incorporating writing styles, or world knowledge (e.g., triples). Nevertheless, writing styles are easy to imitate. Different from world knowledge, in this paper, we propose a novel hierarchical language knowledge-driven fake news detection (HLKFND) framework. More specifically, we first conduct entity linking to obtain the entity words for a given news text after removing stop words. We also extract the specific topic words through the LDA (Latent Dirichlet Allocation) for the news text. Then, we acquire the extended entities context through an external knowledge base for the extracted entity words. Next, we extract language context (the sememe of a Chinese word based on the HowNet) for the extracted topic words. After that, we construct a powerful language-entity graph that includes the previous words in the news text, the extended entity context, and the extended language context. Finally, we successfully combined the language context and the entity context under a graph convolutional networks framework. Our experimental results demonstrate that our HLKFND outperforms strong recent baselines on Chinese benchmark dataset in fake news detection.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122738398","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
Language learning system based on big data word segmentation and public opinion detection 基于大数据分词和舆情检测的语言学习系统
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00058
Zhaofu Lin, Zhang Lihang
{"title":"Language learning system based on big data word segmentation and public opinion detection","authors":"Zhaofu Lin, Zhang Lihang","doi":"10.1109/ICCEAI55464.2022.00058","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00058","url":null,"abstract":"Based on the in-depth study of language learning and the full understanding of the rules of memory, we design a language learning system, which aims to solve the problems that people have difficulty in memory and can not get reasonable evaluation in the process of language learning. This system is based on big data word segmentation and public opinion monitoring technology, combined with language synthesis system and computer evaluation system. In terms of learning style, it is more efficient than the current traditional language learning; In the aspect of reading evaluation, it is more objective and stable than manual evaluation results, and can generate detailed evaluation report quickly. Experimental results show that the design scheme achieves the expected goal.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131469676","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
Mitigation of Non-stationary Jammings with Missing Samples for GNSS Using Sparse Representation 基于稀疏表示的GNSS缺失样本非平稳干扰抑制
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00059
Yuetao Ren, Yongfeng Zhi, Jun Zhang
{"title":"Mitigation of Non-stationary Jammings with Missing Samples for GNSS Using Sparse Representation","authors":"Yuetao Ren, Yongfeng Zhi, Jun Zhang","doi":"10.1109/ICCEAI55464.2022.00059","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00059","url":null,"abstract":"Global navigation satellite systems (GNSS) are widely used in most civil and military applications. However, GNSS receivers suffer from severe performance degradation when jammed by electromagnetic interference. This paper considers the mitigation problem of non-stationary jammings with missing samples for GNSS. We propose to reconstruct the interference by sparse representation utilizing the sparsity of jammings in the time-frequency (TF) domain. The GNSS signal is recovered by eliminating the reconstructed interference from the received signal. First, the instantaneous frequencies (IFs) of jammings are extracted from adaptive directional TF distributions. Then, we construct the over-complete atomic dictionary based on the estimated IFs. The interference is reconstructed by orthogonal matching pursuit (OMP) algorithm. The proposed method can achieve the mitigation of non-stationary jamming and the acquisition of GNSS signals in the presence of missing samples. We confirm the effectiveness of the algorithm by simulations.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130954822","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
Calibration of the initial position angle by back EMF zero crossing method based on DA chip 基于DA芯片的反电动势过零法标定初始位置角
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00036
Qiangqiang Lin, Tao Jiang, Dongge Zhang, Zongshuai Yue, Yu Li
{"title":"Calibration of the initial position angle by back EMF zero crossing method based on DA chip","authors":"Qiangqiang Lin, Tao Jiang, Dongge Zhang, Zongshuai Yue, Yu Li","doi":"10.1109/ICCEAI55464.2022.00036","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00036","url":null,"abstract":"To obtain the accurate rotor position is the key to vector control of permanent magnet synchronous motor in relation to whether motor rotation and the rotation of the motor efficiency, The initial position angle can be observed directly by the zero crossing method of back EMF, the absolute position sensor gets accurately position angle of the rotor of the rotary transformer. and reuse Y-connected three resistance to obtain the back EMF signal of the motor, the oscilloscope to observe the position difference between the time when the rotor position for the decoding circuit is 0° and A phase back EMF over the zero, which can get permanent magnet synchronous motor rotor initial position. In the permanent magnet synchronous motor drive control system, the experimental verification and application of the method is verified, which proves that the method is, accurate and intuitive, simple programming, Reliable engineering application.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131105422","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 student academic precaution model based on IWPA-BP neural network algorithm 基于IWPA-BP神经网络算法的学生学业防范模型研究
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00161
Xin Jing, Hao Gao
{"title":"Research on student academic precaution model based on IWPA-BP neural network algorithm","authors":"Xin Jing, Hao Gao","doi":"10.1109/ICCEAI55464.2022.00161","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00161","url":null,"abstract":"In this paper, a Back Propagation (BP) neural network prediction method based on improved wolf swarm algorithm (IWPA) is proposed to study students' academic early warning. The improved wolf pack algorithm has strong search ability, excellent solution ability and fast convergence speed. It can optimize the initial weight and threshold of BP neural network and improve the nonlinear fitting ability of prediction model. The simulation results illustrates that the prediction algorithm has better effectiveness in optimizing accuracy and improving convergence speed in student academic precaution based on UCI data set.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128605657","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
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