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A camouflage generation algorithm based on modified K-means clustering 基于改进k均值聚类的伪装生成算法
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685733
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}
引用次数: 0
A hybrid approach for developer recommendation based on social network 一种基于社交网络的开发者推荐混合方法
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685505
Huilin Liang, Qingjie Wei
{"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}
引用次数: 0
KBMQA: medical question and answering model based on Knowledge Graph and BERT KBMQA:基于知识图谱和BERT的医学问答模型
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685841
Zhangkui Liu, Tao Wu
{"title":"KBMQA: medical question and answering model based on Knowledge Graph and BERT","authors":"Zhangkui Liu, Tao Wu","doi":"10.1117/12.2685841","DOIUrl":"https://doi.org/10.1117/12.2685841","url":null,"abstract":"The emergence of BERT and Knowledge Graph (KG) has promoted the development of Question Answering (QA), however, existing QA systems are still inadequate in terms of the accuracy of relational reasoning and the interpretability of answers. In this paper, we combine BERT and KG, following and optimizing existing methods to build a medical QA system with better performance - KBMQA. The final experimental results show that KBMQA performs better on both MedQA and MedNLI datasets compared with previous biomedical baseline models and MOP models.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"103 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":"114579889","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
Design and verification of enhancement algorithm for small sample data of power grid meteorology based on neural network 基于神经网络的电网气象小样本数据增强算法设计与验证
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685698
Xiangzhou Chen, Lingchao Gao
{"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}
引用次数: 0
FNCSE: contrastive learning for unsupervised sentence embedding with false negative samples FNCSE:假阴性样本无监督句子嵌入的对比学习
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685528
Guiqiang Wu
{"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}
引用次数: 0
Modulation technology in ultra-wideband wireless communication 超宽带无线通信中的调制技术
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685469
Haoyuan Yao, Huijun Huang, Jinyong Fang
{"title":"Modulation technology in ultra-wideband wireless communication","authors":"Haoyuan Yao, Huijun Huang, Jinyong Fang","doi":"10.1117/12.2685469","DOIUrl":"https://doi.org/10.1117/12.2685469","url":null,"abstract":"As a new technology, UWB technology has great development prospect. In this paper, the basic principle of UWB technology is briefly described, several common UWB technologies are emphatically expounded, and the characteristics of each technology and their advantages and disadvantages are compared, and the development trend of UWB technology in the future is proposed.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"36 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":"123486188","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
Virtual network mapping algorithms based on multi-level reliability sorting in multiple domain networks 多域网络中基于多级可靠性排序的虚拟网络映射算法
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685791
Hua Qu, Lin Mao, Ji-hong Zhao, Siyan Wang, Siying Wu, Yayun Ren
{"title":"Virtual network mapping algorithms based on multi-level reliability sorting in multiple domain networks","authors":"Hua Qu, Lin Mao, Ji-hong Zhao, Siyan Wang, Siying Wu, Yayun Ren","doi":"10.1117/12.2685791","DOIUrl":"https://doi.org/10.1117/12.2685791","url":null,"abstract":"Multi-domain network is a large-scale underlying network, which is connected to each other through links but independent of each other, and network virtualization methods are used for virtual network mapping in a multi-domain network environment. How to better allocate physical resources to virtual networks and ensure that the average failure rate of the network is minimized is the focus of the current network virtualization research field. Most of the existing research on multi-domain network environment aims to improve the resource utilization of the network, ignoring the generation of network fragmentation and the failure rate of nodes and links in the network, and does not consider the differences between each network domain. Based on the current research, we propose a virtual network mapping algorithm based on multilevel reliable ordering in multi-domain networks (MRS-VNE). First, we adopt a hierarchical collaborative multi-domain network mapping framework, then propose a multi-level reliable ordering of network domains and physical nodes, prioritize intra-domain virtual network mapping, and finally, adopt heuristic inter-domain virtual network mapping for VNRs that fail intra-domain mapping. Simulation results show that the algorithm can improve the request acceptance rate and reduce the overall average failure rate.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"97 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":"124676905","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 noise reduction method based on PSR-fastICA for spectrum-induced polarization data 基于PSR-fastICA的谱致极化降噪方法
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685458
Wei Cen, Zhihua Li
{"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}
引用次数: 0
Evolution of GPU virtualization to resource pooling GPU虚拟化到资源池的演进
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685490
Gui Liang, Siti Norbaya binti Daud, N. Ismail
{"title":"Evolution of GPU virtualization to resource pooling","authors":"Gui Liang, Siti Norbaya binti Daud, N. Ismail","doi":"10.1117/12.2685490","DOIUrl":"https://doi.org/10.1117/12.2685490","url":null,"abstract":"With the rapid development of artificial intelligence, the demand for Graphics Processing Unit (GPU) resources is also increasing rapidly. To improve the efficiency and utilization of GPU resources, virtualization technology has been widely used in the field of GPUs. This article reviews the evolution from GPU virtualization to resource pooling, including device simulation, GPU pass-through, hardware-assisted virtualization, GPU full virtualization, GPU remote-sharing, and GPU resource pools. The advantages and disadvantages of each stage and the challenges faced during the evolution process are also analyzed. This article discusses the difficulties and solutions of GPU resource pool construction, as well as the construction steps and framework, providing a reference for the research and application of GPU resource pooling.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"884 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":"130062583","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
Improving the liquid sensing resolution via multiple transceiver pairs 通过多收发器对提高液体传感分辨率
International Conference on Electronic Information Technology Pub Date : 2023-08-15 DOI: 10.1117/12.2685477
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}
引用次数: 0
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