Yinsong Kong, Congwei Liao, Shengxiang Huang, Leilei Qiu, L. Deng
{"title":"A camouflage generation algorithm based on modified K-means clustering","authors":"Yinsong Kong, Congwei Liao, Shengxiang Huang, Leilei Qiu, L. Deng","doi":"10.1117/12.2685733","DOIUrl":"https://doi.org/10.1117/12.2685733","url":null,"abstract":"The advent of high-tech means of detection posed a huge challenge to traditional camouflage imaging. It is important to develop a more efficient and better performing digital camouflage algorithm to improve the poor camouflage effects. The performance of camouflage generation is mainly affected by the camouflage color and camouflage texture. In this paper, we propose a novel design of digital camouflage based on he K-means clustering optimized by genetic algorithm. First, we randomly call the plaque of the target neighborhood to retain texture details, and then smooth the removal of abrupt boundaries. Then, we extract primary colors from the background and precisely reduce the influence of randomization of the initial cluster center using a clustering method. By comparing with the other reported camouflage patterns, we find that the output camouflage patterns generated by our proposed method greatly match the background and have good camouflage effect.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132253128","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}
{"title":"A noise reduction method based on PSR-fastICA for spectrum-induced polarization data","authors":"Wei Cen, Zhihua Li","doi":"10.1117/12.2685458","DOIUrl":"https://doi.org/10.1117/12.2685458","url":null,"abstract":"Spectrum-induced polarization (SIP) is a widely used geophysical exploration approach, but it is prone to noise. To address this issue, this paper proposes a noise reduction method that combines phase space reconstruction (PSR) and fast independent component analysis (fastICA). The proposed approach enhances the signal-to-noise ratio of SIP data by effectively removing noise. Experimental results show that the PSR-fastICA method significantly reduces noise in SIP signals.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124849489","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}
Wenming Huang, Yaowei Zhou, Yannan Xiao, Yayuan Wen, Zhenrong Deng
{"title":"Chinese text summarization generation based on transformer and temporal convolutional network","authors":"Wenming Huang, Yaowei Zhou, Yannan Xiao, Yayuan Wen, Zhenrong Deng","doi":"10.1117/12.2685723","DOIUrl":"https://doi.org/10.1117/12.2685723","url":null,"abstract":"The recurrent neural network model based on attention mechanism has achieved good results in the text summarization generation task, but such models have problems such as insufficient parallelism and exposure bias. In order to solve the above problems, this paper proposes a two-stage Chinese text summarization generation method based on Transformer and temporal convolutional network. The first stage uses a summary generation model that fuses Transformer and a temporal convolutional network, and generates multiple candidate summaries through beam search at the decoding end. In the second stage, contrastive learning is introduced, and the candidate summaries are sorted and scored using the Roberta model to select the final summary. Through experiments on the Chinese short text summarization dataset LCSTS, ROUGE was used as the evaluation method to verify the effectiveness of the proposed method on Chinese text summarization.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"37 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132436926","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}
{"title":"A method for aggregating the features of bullet screen","authors":"Zijian Chen, Shaoshuai Li, Wenbin Yu","doi":"10.1117/12.2685628","DOIUrl":"https://doi.org/10.1117/12.2685628","url":null,"abstract":"Bullet screen is a new type of comment appearing on video websites. When the video is played, it will be displayed in real time. Through sentimental analysis of the screen, we can quickly understand the sentimental types of the current video. However, it is unrealistic to deal with all the bullet screens of the whole video at one time with traditional methods. This paper proposes a method of aggregating all text content in video to represent very long video content to achieve video feature extraction. The method proposed in this paper is more effective than PCA and scalable methods in reducing dimension and achieving aggregation.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"604 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134333132","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}
{"title":"Digitized status evaluation of secondary equipment in traction substation","authors":"Lei Xue, Wei Song, Haibo Zhao, W. Gao, Chao Wang","doi":"10.1117/12.2685887","DOIUrl":"https://doi.org/10.1117/12.2685887","url":null,"abstract":"The traction substation is responsible for the power supply to the traction load, and it is very important to ensure the safe operation of the equipment in the traction substation. At present, the research on status estimation of primary equipment in the substation is mature, but there is still no unified evaluation standard and diagnostic process for secondary equipment. Therefore, an improved fuzzy algorithm model based on variable weight theory and membership correction is proposed to estimate the status of secondary equipment in the substation. The example analysis verifies that the improved fuzzy algorithm can improve the accuracy of state estimation and effectively avoid a series of problems caused by constant weights and fixed membership of the traditional fuzzy algorithm. The light transmission power decreases from -14.68 dBm to -19.74 dBm, while the temperature decreases from 23 °C to 28 °C. The health status of both indicators decreased by a level consistent with the observations.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134514570","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}
{"title":"Research on virtual flower shape generation based on data mapping","authors":"Qiao Feng, Zhibin Pan","doi":"10.1117/12.2685547","DOIUrl":"https://doi.org/10.1117/12.2685547","url":null,"abstract":"This paper proposes a virtual flower pattern generation method based on data mapping. By analyzing real plants and flowers, a virtual flower structure system is constructed in the node-based visual programming tool Touchdesigner. The concept of data mapping is used to convert picture color data into digital information, which is connected to the virtual flower structure system to generate virtual flowers with diverse forms and rich colors. Finally, combined with the diverse presentation media of new media art, it creates a sense of experience, substitution, and integrity of the work.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"96 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116646505","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}
{"title":"Design and verification of enhancement algorithm for small sample data of power grid meteorology based on neural network","authors":"Xiangzhou Chen, Lingchao Gao","doi":"10.1117/12.2685698","DOIUrl":"https://doi.org/10.1117/12.2685698","url":null,"abstract":"The purpose of this paper is to extract the effective information of power grid operation by using various meteorological monitoring and forecasting information. In all meteorological disasters, considering that the damage to power facilities caused by strong wind accounts for 68% of the total disasters, and considering that the snow and ice disasters in 2008 caused serious losses in large areas, this paper makes prediction for meteorological disasters and derivative disasters such as strong wind, ice, snow in a certain area, studies the probability of grid failure caused by ice and estimates the severity of snow to estimate the probability of grid failure caused by ice. Finally, a decision support system for comprehensive prevention of power grid faults is established. The research and application of this system can scientifically arrange the planning and operation of power grid dispatching, and effectively realize the disaster prevention and reduction of power grid facilities and the refined management of power grid safe operation.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"727 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116061669","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}
{"title":"A hybrid approach for developer recommendation based on social network","authors":"Huilin Liang, Qingjie Wei","doi":"10.1117/12.2685505","DOIUrl":"https://doi.org/10.1117/12.2685505","url":null,"abstract":"Bug fixing requires collaboration among developers, however, most of current studies recommend developers based on the textual content and similarity of bug reports, ignoring the implicit social relationships generated by developers when they collaborate on fixing tasks. This paper proposes a hybrid approach for bug developer recommendation to address this problem. The method constructs a developer social network, extracts developer social relationships implicitly modeled in bug report history records and comment, and uses Graph Convolutional Neural Network (GCN) to learn the closeness between developers. In addition, Convolutional Neural Networks (CNN) are used to learn the bug report text content, suitable developers are recommended by fusing the collaborative relationships between developers and the textual content of bug reports. According to experimental findings, the method's accuracy is significantly better than that of other methods.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115335092","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}
ZhengTao Dai, P. Li, Biaokai Zhu, Chongbo Dong, Zhao L. Lv
{"title":"Improving the liquid sensing resolution via multiple transceiver pairs","authors":"ZhengTao Dai, P. Li, Biaokai Zhu, Chongbo Dong, Zhao L. Lv","doi":"10.1117/12.2685477","DOIUrl":"https://doi.org/10.1117/12.2685477","url":null,"abstract":"Many studies have shown that wireless sensing would be a promising method for liquid identification, but existing methods still have limitations for fine-grained liquid sensing. In this paper, we propose a liquid identification method based on multiple transceiver pairs, which effectively improves the sensing resolution of liquid identification. We implement our method with a commercially FMCW millimeter wave radar and evaluate its performance. Our result shows that for concentrations as low as 0.5% in alcohol solutions, our method can achieve an accuracy of more than 95%.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121625469","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}
{"title":"FNCSE: contrastive learning for unsupervised sentence embedding with false negative samples","authors":"Guiqiang Wu","doi":"10.1117/12.2685528","DOIUrl":"https://doi.org/10.1117/12.2685528","url":null,"abstract":"In recent years, contrastive learning has gradually been applied to the field of natural language processing from the explosion of the computer vision community. Generally speaking, for a given sentence, the original sentence is used as the anchor point, the current model uses a special data enhancement method to generate positive samples, and the remaining sentences in the batch are used as negative samples for the sentence. Although this approach effectively improves sentence embedding, we believe that in the process of constructing negative samples, negative samples will also have information similar to the current anchor point, and should not be mistakenly attributed to negative samples, which will confuse the learning ability of the model, and The increase in the number of negative pairs during training is beneficial to the training of the model. In this paper, we propose methods to identify false negatives in the text domain, and two strategies to mitigate the impact of false negatives: masking false negatives and adding to the set of positives. In addition, we propose an optimized version of momentum contrast to expand the number of negative pairs. Our method is based on the improvement made on SimCSE called FNCSE. We evaluate FNCSE on multiple benchmark datasets in the semantic similarity (STS) task. The experimental results show that in the Bert base, FNCSE averages 1.29% Spearman Correlation is better than SimCSE.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123346661","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}