Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering最新文献_第5页

Infrared and visible image fusion algorithm based on multi-scale transform 基于多尺度变换的红外与可见光图像融合算法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501488

Chengxiang Liu, Lixia Du, Ruihong Liu

{"title":"Infrared and visible image fusion algorithm based on multi-scale transform","authors":"Chengxiang Liu, Lixia Du, Ruihong Liu","doi":"10.1145/3501409.3501488","DOIUrl":"https://doi.org/10.1145/3501409.3501488","url":null,"abstract":"For the conventional infrared and visible image fusion algorithm with poor contrast, blurred target outline, and loss of texture detail information under low illumination conditions, an infrared and visible image fusion algorithm based on multi-scale transform is proposed. Firstly, the adaptive enhancement method based on guided filtering with dynamic range compression and contrast recovery is utilized to improve the visibility of the dark region part of the visible image. Secondly, the cross-bilateral filtering multi-scale decomposition is performed on the image to be fused to obtain the base layer image and the multi-layer detail layer image. The fusion method combining the absolute value taking larger strategy and guided filtering is used to fuse the base layer images. A method based on constructing a saliency map and weight map are proposed to fuse detailed images of each layer. Finally, the fused base and detail layers are summed to obtain the final fused images. The experimental results show that the method generates fused images with clear targets and essential details and has better visual effects and fusion accuracy than other methods.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"50 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126003034","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 FPGA Implementation Method of Symbol Timing Synchronization in OFDM System OFDM系统中符号时序同步的FPGA实现方法研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501542

Shuaiquan Jiang, Yanli Zhao, Yi-tong Xin

引用次数: 1

Domain Named Entity Recognition and Applications in Test and Evaluation 域名实体识别及其在测试与评估中的应用

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501595

Ding-xuan Zhao, Shuai Jiang, Wen Wang, Jing Zhang, Ruixue Luan

引用次数: 0

Near-field Mesh Space Focusing Method of Large-scale Broadband Array Radar 大型宽带阵列雷达近场网格空间聚焦方法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501473

Jinyang Chen, Jing Yang, Xian Chen, Xiaojie Meng

引用次数: 0

Pose Estimation of Six-axis Industrial Robots Based on Deep Learning 基于深度学习的六轴工业机器人姿态估计

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501559

Yichen Yang, Wei Wei, Deng Chen

引用次数: 0

Melody Generation with Emotion Constraint 情感约束下的旋律生成

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501691

Ren-ge Huang, Yin Li, Da Kang, Yujie Chen, Chunyan Yu, Xiu Wang

{"title":"Melody Generation with Emotion Constraint","authors":"Ren-ge Huang, Yin Li, Da Kang, Yujie Chen, Chunyan Yu, Xiu Wang","doi":"10.1145/3501409.3501691","DOIUrl":"https://doi.org/10.1145/3501409.3501691","url":null,"abstract":"At present, most of the melody generation models consider the introduction of chord, rhythm and other constraints in the melody generation process to ensure the quality of the melody generation. While all of them ignore the importance of emotion in melody generation. Music is an emotional art. As the primary part of a piece of music, melody usually has a clear emotional expression. Therefore, it is necessary to introduce emotion information and constraints to generate a melody with clear emotional expression, which means the model should have the ability to learn the relevant characteristics of emotions according to the given information and constraints. To this end, we propose a melody generation model ECMG with emotion constraints. The model takes Generative Adversarial Network (GAN) as the main body, and adds emotion encoder and emotion classifier to introduce emotion information and emotional constraints. We conducted quality evaluation and emotion evaluation of the melody generated by ECMG. In the evaluation of quality, the quality score difference between the melody generated by ECMG and the real melody in the training set is within 0.2, and the quality score of the melody generated by PopMNet is also relatively close. In the evaluation of emotion, the accuracy of emotion classification for both four-category and two-category is much higher than that of completely random probability. These evaluation results show that ECMG can generate melody with specific emotions while ensuring a high quality of generation.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126699813","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: 2

Study on the influence of pressure on the characteristics of IGBT 压力对IGBT特性影响的研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501440

Y. Wang, Rui Jin, Li Li, Jiang Liu, Mingchao Gao

引用次数: 0

A Judgment Method of Network News Value Orientation Based on Sentiment Analysis 基于情感分析的网络新闻价值取向判断方法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501551

Z. Zhang, Ying Li

引用次数: 0

Research on Intelligent Question Answering algorithm based on machine learning 基于机器学习的智能问答算法研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501582

Lei Sun, Xiwei Feng, Pengcheng Hua, Chi Zhao, Chaoqi Wang, Wei Hou

引用次数: 0

The removal of Pb (II) by La-MgFe2O4 and its phosphorus-removal waste from aqueous solution La-MgFe2O4及其除磷废液对铅(II)的去除

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501704

Runying Bai, Xiaomin Kong, Bowen Song, Shuailing Wang, Bo Wu, Ruzhuang Zhang

{"title":"The removal of Pb (II) by La-MgFe2O4 and its phosphorus-removal waste from aqueous solution","authors":"Runying Bai, Xiaomin Kong, Bowen Song, Shuailing Wang, Bo Wu, Ruzhuang Zhang","doi":"10.1145/3501409.3501704","DOIUrl":"https://doi.org/10.1145/3501409.3501704","url":null,"abstract":"Adsorption is an economical and effective method to remove heavy metal ions in polluted sewage. This study investigates the Pb(II) removal performance, mechanism, environmental safety and magnetic separation from aqueous solution by the lanthanum-supported magnesium ferrite (La@MgFe2O4) and its phosphorus-removal waste (La-P@MgFe2O4). The results show that at 25°C and pH 5 the maximum adsorption capacity of La@MgFe2O4 and La-P@MgFe2O4 are 326.18 mg/g and 28.74 mg/g respectively. When the dosage of the two adsorbents is 1.0g/L separately and the concentration of Pb(II) is 10mg/L, Pb(II) is absorbed completely within 60min and 120min respectively. The adsorption capacity is positively correlated with the amount of -OH on the adsorbents surface. The complexation of La@MgFe2O4 and Pb(II) overcomes their electrostatic repulsion, while La-P@MgFe2O4 remove Pb(II) by electrostatic attraction and complexation. The experiment with beneficiation wastewater confirms the removal performance of heavy metals ions related to the two adsorbents. The study shows that both La@MgFe2O4 and La-P@MgFe2O4 are stable recyclable adsorbents without secondary pollution and are easy to separate from aqueous solution in an external magnetic field.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121362522","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