Third International Seminar on Artificial Intelligence, Networking, and Information Technology最新文献_第4页

Heterogeneous database integration method of electric power enterprise based on XML 基于XML的电力企业异构数据库集成方法

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667278

Shuhui Li, Botao Wu, Jiayi Lang, Lin Cheng, Wenjian Yao

{"title":"Heterogeneous database integration method of electric power enterprise based on XML","authors":"Shuhui Li, Botao Wu, Jiayi Lang, Lin Cheng, Wenjian Yao","doi":"10.1117/12.2667278","DOIUrl":"https://doi.org/10.1117/12.2667278","url":null,"abstract":"Since the conventional integration methods cannot distinguish the useful data when there is much heterogeneous data with the same semantic, the data integration time is long and the utilization rate of power resources is low. Based on this, an XML-based heterogeneous database integration method for electric power enterprises is designed. Firstly, the same semantic objects of heterogeneous databases are identified to reflect the integration conflicts of the same semantics of heterogeneous data in power enterprises, and then the integration framework of heterogeneous data exchange in power enterprises is constructed by using XML, and finally the similarity value of numerical attribute data in power enterprises is refined. Thus, the efficient integration of heterogeneous databases in power enterprise is realized. The experimental results show that the proposed method has a relatively high utilization rate of heterogeneous data resources in power enterprises, all above 98%, and its integration time is short, less than 4s, which is better than the comparison method. The proposed method can help power enterprises to quickly manage complex business data and improve their automation and informatization levels.","PeriodicalId":128051,"journal":{"name":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134254931","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 simple semantic ranking approach for entity linking 实体链接的简单语义排序方法

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667421

Tingting Wei, Aimin Yang, Sunjie Huang, Shiling Song

引用次数: 0

Research on marketing intelligence inspection based on RPA technology 基于RPA技术的营销智能检测研究

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667648

Libin Xie, Guoyi Zhao, Ji Lu, Beini Jiang

{"title":"Research on marketing intelligence inspection based on RPA technology","authors":"Libin Xie, Guoyi Zhao, Ji Lu, Beini Jiang","doi":"10.1117/12.2667648","DOIUrl":"https://doi.org/10.1117/12.2667648","url":null,"abstract":"As the quality controller of the marketing business of power grid enterprises, marketing audit has realized the management support of the information system to the core business. With the continuous expansion of the business scope and the continuous advancement of the data depth, on the basis of the gradual improvement and optimization of the marketing audit management system, it is necessary to carry out digital intelligence transformation according to its own business characteristics. RPA, as a software automation tool, can replace the original labor-consuming and labor-intensive repetitive low value-added work, and plays an important role in improving the business digitization level. Based on the application characteristics of RPA technology, this paper combs the characteristics of the marketing audit business. By constructing typical business application scenarios, refining the RPA simulation operation process of the business scenarios, this paper presents the intelligent transformation process of the audit business management, and provides experience for the intelligent application of robot process automation in other professional fields of marketing.","PeriodicalId":128051,"journal":{"name":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115058759","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 labeling algorithm to solve the shortest path problem with additional constraints 一种求解带附加约束的最短路径问题的标注算法

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667230

Nan Xu, Xiang Wu

引用次数: 0

Signal recognition methods in motor imagery BCI 运动意象脑机接口的信号识别方法

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667874

Weiheng Liu, Fengge Bao

{"title":"Signal recognition methods in motor imagery BCI","authors":"Weiheng Liu, Fengge Bao","doi":"10.1117/12.2667874","DOIUrl":"https://doi.org/10.1117/12.2667874","url":null,"abstract":"Brain computer interface constructs the direct connection between human brain and external devices, which is becoming a promising method in reconstructing human’s motor abilities who suffered from body disability. Among several kinds of BCI technologies, Motor Imagery based Brain-computer Interface (MI-BCI) has attracted more and more attentions since it’s a more intuitive method. In the procedure of MI-BCI, the signal recognition methods play a significant role. Therefore, this paper would search into the classification techniques utilized in the processing procedure in MI-BCI systems, including machine learning techniques, naïve bayes classifier (NB), support vector machines (SVM) and linear discriminant analysis (LDA). For deep learning techniques, sparse autoencoder (SAE), convolutional neural network (CNN), recurrent neural network (RNN) was introduced. Then the paper would compare them in terms of accuracy, classification speed and data requirement. This paper would give an overview on the commonly seen classification method used in MI-BCI, and also present researchers who are selecting classification methods the most suitable choice.","PeriodicalId":128051,"journal":{"name":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology","volume":" 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120831934","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

Target high precision horizontal region detection based on improved faster R-CNN 基于改进的更快R-CNN的目标高精度水平区域检测

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667441

Yu Liu, Dejun Li, Xiao Sun, Jian Chen, Zhaohong Xu

引用次数: 0

Effect of two typical wing forms on aerodynamic characteristics of mid-cylindrical airship 两种典型翼型对中圆柱形飞艇气动特性的影响

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667699

Yuan Liu, Yongdong Zhang, Hu Ye, Baogang Geng, Ziwei Wang, Jiaqi Zhai

引用次数: 0

Research on image captioning based on LSTM and YOLOv5 fusion attention mechanism 基于LSTM和YOLOv5融合注意机制的图像字幕研究

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667667

Xiaoliang Zhang, Qingtao Zeng, Yeli Li, Likun Lu, Weichun Yang

{"title":"Research on image captioning based on LSTM and YOLOv5 fusion attention mechanism","authors":"Xiaoliang Zhang, Qingtao Zeng, Yeli Li, Likun Lu, Weichun Yang","doi":"10.1117/12.2667667","DOIUrl":"https://doi.org/10.1117/12.2667667","url":null,"abstract":"Humans can easily learn to recognize every object in life, every landscape, and describe the things around them in detail from the process of growing up, but computers cannot. How to make computers learn to describe things in pictures has become the research direction of many scholars. If this technology is mature, it will bring great boon to people with visual impairments. They can understand the things around them and the beautiful earth through hearing. Robots recognize objects and understand their surroundings. With the development of artificial intelligence, the power of convolutional neural networks is more and more comparable to that of the human brain. In recent years, many scholars have proposed different methods to seek better solutions to this problem, including generative adversarial networks. Based on the classic structure of Encoder-Decoder, this paper first compares the code implementation and results of ResNet101 as an Encoder on the COCO dataset, and then proposes a new solution that integrates YOLOv5 and LSTM, aiming to improve the model inference speed and inference accuracy.","PeriodicalId":128051,"journal":{"name":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126642372","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 the design technology of mobile Mix-YOLOv5s model 移动Mix-YOLOv5s模型设计技术研究

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667786

Lu Yu, B. Zhang, Jingzhu Zhang

{"title":"Research on the design technology of mobile Mix-YOLOv5s model","authors":"Lu Yu, B. Zhang, Jingzhu Zhang","doi":"10.1117/12.2667786","DOIUrl":"https://doi.org/10.1117/12.2667786","url":null,"abstract":"Because the memory resources and computing resources of embedded devices are very limited, it is very difficult to deploy deep learning models on embedded devices. Therefore, how to efficiently and conveniently extract more feature maps from the limited feature maps in convolutional neural network has become a mainstream research direction. In the era of epidemic normalization, in order to deploy a mask face detection system more suitable for the actual scene in densely populated places such as communities, shopping malls, airports, railway stations and so on. This paper proposes the Mix-YOLOv5s model, which mainly combines the YOLOv5s model with the lightweight Ghost module, the CBAM attention module, Bidirectional Feature Pyramid Network(BiFPN), Mish activation function and Alpha-IoU loss function. They are used to promote the object detection ability of the model. We make quantitative and qualitative comparison between Mix-YOLOv5s and YOLOv5s. Compared with the YOLOv5s model, this model is able to improve the comprehensive performance by a small amount on the basis of greatly reducing Parameters and GFLOPs. Therefore, Mix-YOLOv5s model has great significance and advantages in the design of mobile terminal deep learning model, which can correctly judge whether the subjects wear masks, and has strong research value and broad application prospects.","PeriodicalId":128051,"journal":{"name":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114241487","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

BMSAD: behavior feature and multi-scenario-based Sybil attack detection method in vehicular networks BMSAD:车联网行为特征及基于多场景的Sybil攻击检测方法

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI: 10.1117/12.2667662

Jie Luo, Z. Li

{"title":"BMSAD: behavior feature and multi-scenario-based Sybil attack detection method in vehicular networks","authors":"Jie Luo, Z. Li","doi":"10.1117/12.2667662","DOIUrl":"https://doi.org/10.1117/12.2667662","url":null,"abstract":"Vehicular networks improve traffic safety and efficiency by wireless communications among vehicles and infrastructures. However, security has always been a challenge to vehicular networks, which may cause severe harm to the intelligent transportation systems. Sybil attack is considered as a serious security threat to vehicular networks since the attacker can disseminate false messages with multiple forged identities. In this paper, we designed a behavior feature and multi-scenario-based Sybil attack detection method, named BMSAD in vehicular networks. In BMSAD, we propose solutions for two scenarios: normal traffic and traffic congestion. A node is allowed to verify the authenticity of another node by estimating their geographic distance based on received signal strength, and compare them to its claimed localizations. Then we design long- and short-term pattern to analyze the similarity of vehicles’ behavior features and trajectory for Sybil nodes detection, which act as the second line of defense in normal traffic scenario. At last, the Sybil nodes of the traffic congestion scenario are detected by logical inference based on kinematics theory. And experiment results demonstrate that the proposed scheme achieves high detection rate and low false positive rate.","PeriodicalId":128051,"journal":{"name":"Third International Seminar on Artificial Intelligence, Networking, and Information Technology","volume":"49 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114348613","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