2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)最新文献_第3页

Design of side lobe cancellation and anti-jamming of unified carrier measurement and control system based on FPGA 基于FPGA的统一载波测控系统旁瓣对消与抗干扰设计

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988173

Mingxin Kou

引用次数: 0

Research of Online Teaching System Based on PAR Platform and Cross-Media Algorithm Programming 基于PAR平台和跨媒体算法编程的在线教学系统研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988406

Linlin Niu

引用次数: 0

Research on solar-storage-DC hybrid energy storage based on park distributed grid 基于园区分布式电网的太阳能-直流混合储能研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987950

Lu Tianqi, Yang Bo, Gao Jing, Yang Guochen, Liang Jiaxin

引用次数: 0

Parameters Identification Research of Stylized Car-following Models Based on Behavior Clustering 基于行为聚类的程式化跟车模型参数识别研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988196

Zhichao Xing, Xingliang Liu, Dong Cui, Jingyan Zhou, Huitong Fu

{"title":"Parameters Identification Research of Stylized Car-following Models Based on Behavior Clustering","authors":"Zhichao Xing, Xingliang Liu, Dong Cui, Jingyan Zhou, Huitong Fu","doi":"10.1109/ICDSCA56264.2022.9988196","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988196","url":null,"abstract":"Aiming at the problem that intelligent vehicle decision-making planning in heterogeneous traffic flow does not consider the differences of driving styles, this paper builds a driving behavior data acquisition system to obtain the natural driving data of drivers with multi-attribute characteristics, and excavates the car-following behavior of multi-source heterogeneous data based on multi-constraint extraction method. The time-frequency domain feature parameters of car-following association are extracted and the radical, conservative and calm categories are separated based on PCA and K-means methods. Three classical theoretical car-following models, Gipps, FVD and IDM, are selected. Based on genetic algorithm, the data of stylized labeling behavior are input for parameter identification, and finally three stylized car-following models are obtained. In order to evaluate the stylized identification models, the conventional single identification car following models are compared. By inputting the test set data and calculating the MSE values of the models, it can be obtained that the MSE value of IDM is smaller than that of Gipps and FVD, which has the best prediction effect. The MSE value of the stylized IDM is reduced by 31.3% compared with the non-style identification IDM, and the behavior prediction accuracy is higher.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121693014","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

Mid-term Forecast of Electricity Consumption of Enterprises Based on Bi-Directional LSTM and Nonpooling CNN 基于双向LSTM和非池化CNN的企业用电量中期预测

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987811

Bin Zou, Jian Sun

引用次数: 0

Research on Full Chain Construction Intelligent Control System and Return Evaluation Model Mathematical Optimization 全链施工智能控制系统及收益评估模型数学优化研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988347

Y. Wu

{"title":"Research on Full Chain Construction Intelligent Control System and Return Evaluation Model Mathematical Optimization","authors":"Y. Wu","doi":"10.1109/ICDSCA56264.2022.9988347","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988347","url":null,"abstract":"Aiming at various problems existing in construction projects, this paper constructs a whole-chain intelligent control system for construction projects, and studies the optimal path of the intelligent control system return evaluation model. By collecting a large amount of data generated in the construction management process, in order to improve the control efficiency and accuracy, the construction process data is classified and organically linked with the control process, and a data-driven model is constructed. Describe and model the internal structure and construction process of the whole chain of heterogeneous data of the construction project, and generalize the effect of heterogeneous data to each sub-process, design the UML fusion mechanism, and embed the data-driven UML fusion into the control The whole chain intelligent control system of process and construction projects. Finally, the general return evaluation model is optimized and improved, in order to more accurately evaluate the performance of the whole chain construction intelligent control system in terms of control effect and control income.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313892","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 Extraction Technology of Earth Remote Sensing Images Based on Computer BP Neural Network 基于计算机BP神经网络的地球遥感图像提取技术研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988453

Yuanyuan He

引用次数: 0

Research on the Professional Development of Leisure Sports under Computer Big Data Technology 计算机大数据技术下休闲体育专业发展研究

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987880

Aiping Zhang

引用次数: 0

Multi-loss Function-based GAN for Cross-view Gait Recognition 基于多损失函数的GAN横视步态识别

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9987927

Yi Xia, Xicheng Ling, Jin Zhou, Qianz Ye

{"title":"Multi-loss Function-based GAN for Cross-view Gait Recognition","authors":"Yi Xia, Xicheng Ling, Jin Zhou, Qianz Ye","doi":"10.1109/ICDSCA56264.2022.9987927","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987927","url":null,"abstract":"Gait is a very promising biometrics. However, a great challenge in this area is how to improve the recognition accuracy in cross-view settings. In this study, a multi-loss-based GAN (MLF-GAN) was proposed for gait transformation between arbitrary views and then for view-consistent identity recognition. The generation of gaits was regularized using an identity preserver together with a discriminator. The discriminator comprises of two components, whose network structures are the same except the last layer. One component is for judging whether the generated images are realistic, and the other one is used for ensuring the view consistency between the generated and the target gaits. To better retain identity information during gaits transformation, the identity preserver also utilize two stacked components, where one is optimized by triplet loss and the other one is optimized by cross-entropy loss. The distribution of the latent gait features from the global perspective is regularized by the cross-entropy loss, while the fine-grained local features that are beneficial for classification are learned by way of the triplet loss. Experimental results on CASIA-B gait database demonstrate the effectiveness of the proposed method, and the comparison with the state-of-the-art indicates that our method contributes to the accuracy improvement of cross-view gait recognition.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132971033","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

Computer Simulation in the Analysis of Hydration Heat of Large-Volume Composite Pier 大体积复合桥墩水化热分析中的计算机模拟

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI: 10.1109/ICDSCA56264.2022.9988234

Shiwei Cui, Lipeng Qin, Xu Min, Yong Zhang

{"title":"Computer Simulation in the Analysis of Hydration Heat of Large-Volume Composite Pier","authors":"Shiwei Cui, Lipeng Qin, Xu Min, Yong Zhang","doi":"10.1109/ICDSCA56264.2022.9988234","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988234","url":null,"abstract":"To study the possible excess heat of hydration during the pouring process of the large-volume concrete of the steel-concrete joint section of the main pier of a bridge, this paper used Midas/FEA finite element software to simulate the internal hydration heat temperature field after concrete pouring and analyze the law of temperature change at different positions inside the concrete and the influencing factors of the heat of hydration. Theoretical analysis and actual measurement results show that the finite element simulation temperature data fits well with the actual measurement data, indicating that the finite element model can simulate the temperature field of hydration heat within the concrete well. Ambient temperature, steel box shape, steel box cross-sectional area ratio, and steel box depth ratio have an impact on the heat of hydration of concrete in the pier. A temperature control scheme for appropriately arranging cooling pipes in the steel-concrete joint section to reduce the heat of hydration inside the concrete is proposed. It can be seen that this article provides a reference for the design and construction of the mass concrete of the steel-concrete joint section of the bridge pier. The construction conditions, steel box parameters, and appropriate arrangement of cooling pipes should be determined according to the specific conditions of the project to reduce the heat of hydration inside the concrete, advance the temperature peak time and prevent cracks in concrete piers.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133115010","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