International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)最新文献_第2页

A 3D streamline selection algorithm based on comprehensive similarity 一种基于综合相似度的三维流线选择算法

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671191

Xiaomei Hu, Jiahong Weng, Jianfei Chai, Mingnan Zhang, Yilin Li

引用次数: 0

Feature point matching algorithm based on metric learning 基于度量学习的特征点匹配算法

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671321

Changjiang Jiang, Tong Lin, Yuhang Zhang, Changhao Zhao

引用次数: 0

Design of digital intelligent flight test comment system 数字智能试飞评语系统的设计

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671330

Guowang Zhang, Hao Wang, Yongling Guo

引用次数: 0

Learning facial details for high-resolution face anti-spoofing 学习面部细节，实现高分辨率人脸防欺骗

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671328

Yan Zhou, Haohai Wu, Xiangyu Liu, Fanzhi Zeng, Yuexia Zhou

{"title":"Learning facial details for high-resolution face anti-spoofing","authors":"Yan Zhou, Haohai Wu, Xiangyu Liu, Fanzhi Zeng, Yuexia Zhou","doi":"10.1117/12.2671328","DOIUrl":"https://doi.org/10.1117/12.2671328","url":null,"abstract":"With face recognition playing a crucial role in biometric identification technology, Face Anti-Spoofing (FAS) has powerful effects on finding out whether a presented face is live or spoof. As the most common attacks such as photo attacks, print attacks, and video replay attacks can be effectively resolved, high-resolution attacks are easy to occur but still challenging for effective face spoofing because of the rich local facial details. In this paper, a Diagonal-Fusion Transformer network (DFT) which adds self-attention from the vision transformer is proposed. It is designed to learn the facial context information and relation between the local features of the face, and thus enhance the discriminative features of the real face and the fake face to improve the classification efficiency. Furthermore, a Spoofing Region Detection network (SRD) parallel with the DFT network is proposed for fine- grained spoof detection through the enlargement of local facial details. Through comprehensive experiments, the model achieves state-of-the-art results on public benchmark datasets such as OULU and CelebA-Spoof.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366002","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

An efficient fair exchange privacy-preserving protocol for V2G based on blockchain 一种基于区块链的V2G高效公平交换隐私保护协议

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671437

Jiejie Jia, Xiaolei Dong, Jiachen Shen, Zhenfu Cao

{"title":"An efficient fair exchange privacy-preserving protocol for V2G based on blockchain","authors":"Jiejie Jia, Xiaolei Dong, Jiachen Shen, Zhenfu Cao","doi":"10.1117/12.2671437","DOIUrl":"https://doi.org/10.1117/12.2671437","url":null,"abstract":"With the continuous progress of new energy technology, new energy vehicles have gradually become the mainstream. More and more new Energy Vehicles (EV) are put into use, which not only brings challenges to the current Smart Grid (SG) system, but also brings brand new opportunities. Vehicle-to-grid (V2G) is a new technology, which not only realizes the power transmission from the grid to the Vehicle, but also realizes the auxiliary power transmission ability from the vehicle to the grid. But the privacy problem and the fairness of the transaction are still an urgent problem to be solved. Privacy issues can lead to the user's privacy being obtained and analyzed by malicious participants, resulting in the user's property being threatened. Fair exchange means that in the transaction process, if one party is malicious, the honest party has no loss or the loss is negligible, or if both parties are malicious or honest, there is no loss for either party. This paper proposes a Vehicle-to-grid privacy protection fair exchange system based on blockchain. Homomorphic commitment and hash chain are introduced to achieve privacy protection and fair exchange.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125610075","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

3D visualization information system for water quality detection unmanned ship based on virtual reality technology 基于虚拟现实技术的无人船水质检测三维可视化信息系统

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671141

Ye Jiang, Anxi Cao, Jie Ren

引用次数: 0

Road network information extraction from high-resolution remote sensing images based on improved U-Net 基于改进U-Net的高分辨率遥感影像道路网信息提取

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671228

Liang Zhao, Dudu Guo, Q. Xu

{"title":"Road network information extraction from high-resolution remote sensing images based on improved U-Net","authors":"Liang Zhao, Dudu Guo, Q. Xu","doi":"10.1117/12.2671228","DOIUrl":"https://doi.org/10.1117/12.2671228","url":null,"abstract":"In order to solve the problem of low accuracy of road network information extraction in high-resolution remote sensing images due to complex ground object environment, this paper proposes an improved deep learning semantic segmentation model CP-Unet. In this model, the CBAM full-connection layer module is used to enhance the feature fusion of the model. At the same time, the subpixel convolution up sampling module is introduced to reduce the loss of definition caused by the amplification of the dimension of the feature map in the up sampled convolution. Finally, the model is more suitable for road network extraction in high-resolution remote sensing images. In order to verify the reliability of CP-Unet model, an area of Xinjiang Road network was taken as the object of the experiment. The overall extraction accuracy index IoU score of the model in this paper is 81.73%, which is 6.66% higher than that of U-Net. It can better overcome the complex environmental interference and extract the road network in a more complete way. It provides method reference for road network information checking and updating.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130272563","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

Coaxiality error compensation and experimental verification of RV reducer test system based on laser displacement sensor 基于激光位移传感器的RV减速器测试系统同轴度误差补偿及实验验证

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671243

Yongming Liu, Qiang Ma, Lei Fu, Zhuanzhe Zhao, Zhibo Liu, Zhijian Tu

{"title":"Coaxiality error compensation and experimental verification of RV reducer test system based on laser displacement sensor","authors":"Yongming Liu, Qiang Ma, Lei Fu, Zhuanzhe Zhao, Zhibo Liu, Zhijian Tu","doi":"10.1117/12.2671243","DOIUrl":"https://doi.org/10.1117/12.2671243","url":null,"abstract":"Due to the confidentiality of RV reducer's performance indicators and other issues, it is difficult to obtain its technical data and bring some difficulties to its theoretical calculation. At the same time, the performance indicators calculated theoretically are often limited by various factors and can only be used as reference values. Transmission efficiency is one of the most important performance indicators of RV reducer. Therefore, this paper takes the transmission efficiency of RV reducer as an example, aiming at the problem that the coaxiality error of the traditional RV reducer testing system is lack of compensation and adjustment, based on the error compensation principle, a coaxiality error compensation mechanism is proposed to adjust the coaxiality error of the RV reducer to reach the allowable range. Finally, the prototype experiment shows that this mechanism can realize the coaxiality error compensation, and the average transmission efficiency in the steady state is 31.98%, which verifies the accuracy of the compensation mechanism. This research has certain theoretical significance and practical value for improving the performance detection accuracy of RV reducer.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078138","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 power grid investment decision model based on constraints of key factors of transmission and distribution price 基于输配电价关键因素约束的电网投资决策模型研究

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671310

Wei Xie, Haishun Du, Wenming Pan, Helong Wang, Hongxin Liu, Mingxing Zhang, J. Wang

{"title":"Research on power grid investment decision model based on constraints of key factors of transmission and distribution price","authors":"Wei Xie, Haishun Du, Wenming Pan, Helong Wang, Hongxin Liu, Mingxing Zhang, J. Wang","doi":"10.1117/12.2671310","DOIUrl":"https://doi.org/10.1117/12.2671310","url":null,"abstract":"With the promulgation of the notice of market-oriented reform of coal-fired power generation, the reform of transmission and distribution electricity price has entered a substantive reform stage. General industry and Commerce have all entered the market, the proportion of electricity marketization has increased significantly, and the profit space of power grid companies has been further narrowed. Facing the dual pressure of performance assessment of state-owned assets management commission and verification of transmission and distribution electricity price, investment, as an important driver of business growth, the scientific value of its front-end decision-making has an important impact on stabilizing transmission and distribution electricity price and improving the company's business performance. However, the current investment plan arrangement of front-end infrastructure projects is not effectively connected with the key elements of transmission and distribution electricity price verification, and there is still great uncertainty about the supporting role of transmission and distribution electricity price. There is a lack of overall arrangement in advance, which is not conducive to improving the company's operating performance. Therefore, this paper excavates the investment and asset formation laws of infrastructure projects, makes the linkage relationship between investment, asset formation rate, transmission and distribution price and business performance smoother, studies and builds a power grid investment decision-making model based on the constraints of key elements of transmission and distribution price, provides quantitative reference for investment arrangement, and improves the scientific value and rationality of investment arrangement at the source.","PeriodicalId":227528,"journal":{"name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134242710","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 design of transcendental function accelerator 一种超越函数加速器的设计

International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) Pub Date : 2023-04-28 DOI: 10.1117/12.2671394

Minte Song, Nan Liu, Zhanqiang Ru, Zhizhen Yin, Peng Ding, Zhengguang Wang, Suzhen Cheng, Xiaofang Meng, Helun Song

引用次数: 0