Conference on Electronic Information Engineering and Data Processing最新文献_第5页

Analysis of the spatial-temporal characteristics of residents' commuting trips under the impact of COVID-19: a case study in Shenzhen 新冠肺炎疫情影响下居民通勤出行时空特征分析——以深圳市为例

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682316

Jiasong Zhu, Pengyu Hong, Chunmei Zhao, Xiang Lin, Bowen Zhao

{"title":"Analysis of the spatial-temporal characteristics of residents' commuting trips under the impact of COVID-19: a case study in Shenzhen","authors":"Jiasong Zhu, Pengyu Hong, Chunmei Zhao, Xiang Lin, Bowen Zhao","doi":"10.1117/12.2682316","DOIUrl":"https://doi.org/10.1117/12.2682316","url":null,"abstract":"During the outbreak of COVID-19, many cities adopted strict travel measures to quickly cut off the transmission chain. However, these measures hindered the development of the urban economy as time passed. In the face of the possible recurrence of the epidemic, how to develop reasonable operational measures to ensure commute trips and guarantee the normal operation of the urban economy has become an important issue facing the current transportation system. Therefore, this paper is based on the smart card data to explore the spatial-temporal characteristic changes of residents' commuting under the influence of the epidemic. Firstly, the temporal characteristics of each epidemic period are described from three dimensions. Then, travel hotspots are identified and the spatial distribution changes of them in each epidemic period are explored. Next, the correlation coefficient between hotspot metro stations and surrounding land use is calculated. Finally, the rules are summarized, and operational suggestions are proposed. This article analyzes the commuting characteristics of residents based on smart card data, which can provide data support for optimizing metro operation measures.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250488","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 evaluation of English teaching quality based on grey relational analysis 基于灰色关联分析的英语教学质量评价研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682361

Zijun Huang

引用次数: 0

Method of uncertainty analysis and error evaluation of wind-wind output 风电输出的不确定性分析与误差评定方法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682251

Canjie Wu

引用次数: 0

Multi-feature Chinese semantic role labeling combined with global information 结合全局信息的多特征汉语语义角色标注

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682493

Ning Ma, Jiahao Wang, Ao Zhu

{"title":"Multi-feature Chinese semantic role labeling combined with global information","authors":"Ning Ma, Jiahao Wang, Ao Zhu","doi":"10.1117/12.2682493","DOIUrl":"https://doi.org/10.1117/12.2682493","url":null,"abstract":"Semantic role labeling serves as a crucial approach to obtaining semantic information and enabling shallow semantic analysis. Currently, the BiLSTM-CRF model is the primary method used for semantic role labeling. However, this model has many network parameters and is unable to effectively capture semantic information in long sentences. To address these issues, this paper proposes a CNN-BiLSTM-MaxPool-CRF fusion model for Chinese semantic role labeling. The model utilizes MaxPool to sample and extract the output of the BiLSTM network to optimize the network structure. Convolution kernels of differing sizes are utilized to capture local features of sentences, and these features are then combined through average pooling to form new feature vectors. These new features incorporate semantic information of the sentence context and are inputted into the model alongside multi-level linguistic feature groups such as part of speech and sentence phrase structure. Through multiple sets of experimental demonstrations, the method proposed in this paper has demonstrated significant improvements in the performance of the semantic role labeling model.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133960726","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

The research on irregular volume measurement is based on image gray normalization method and brightness restoration method 基于图像灰度归一化方法和亮度恢复方法对不规则体积测量进行了研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682594

Xiangang Luo, Wenguang Hu, Feng Li, feixiang yuan, X. Gao, Chengfang Qiao, Chunyan Zhou

引用次数: 0

On the design of decentralized control of linear time-varying interconnected systems with unmeasurable states via Riccati equations 基于Riccati方程的状态不可测线性时变互联系统分散控制设计

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682572

Zheng-Ji Mao, Zhenzhen Lin

引用次数: 0

Research on pricing mechanism of data products based on game theory 基于博弈论的数据产品定价机制研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682302

Siyao Qin, Yaqing Si, B. He, Hongyan Yan, Wen Li, Xuemei Shi

{"title":"Research on pricing mechanism of data products based on game theory","authors":"Siyao Qin, Yaqing Si, B. He, Hongyan Yan, Wen Li, Xuemei Shi","doi":"10.1117/12.2682302","DOIUrl":"https://doi.org/10.1117/12.2682302","url":null,"abstract":"At the beginning of the formation of the online data trading market, the value recognition of a data product and the transaction are often inseparable from the online game process between the buyers and the sellers. This research focuses on the study of the online efficient pricing mechanism of the whole life cycle of the data product, and on this basis focuses on the formation mechanism of two types of prices. First, it involves the internal benefit distribution of the supply side, and the production and circulation of data products are jointly completed by multiple parties. In this paper, the cooperative game model which of data resource providers, data derivative processors and data exchange platforms is built, and the benefit distribution mechanism based on Shapley value method is designed. The calculation proves the rationality and feasibility of profit distribution. The second is the determination of the transaction price of data products on the supply side and the demand side. This paper designs a set of two-stage online bargaining mechanism. The first stage is the bargaining of the value dimension factor, the second stage is the bargaining of pure price, and both stages can set multiple rounds of dynamic game according to the actual situation of the transaction.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121254045","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

Causality between violations and failure factors in cloud service and its analysis methods: a survey 云服务中违规与失效因素的因果关系及其分析方法研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682441

Huang Liang, Cuiping Zhang, Fu Liao, Cheng-Zhuan Huang, Xiaojian Li, Mingzhi Huang, QinYue Su, Junxian Fan

引用次数: 0

Design of data acquisition and monitoring system for motor battery of new energy site test vehicle based on CAN 基于CAN的新能源试验车电机蓄电池数据采集与监测系统设计

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682260

Rongfei Ji, Dongri Shan, D. He

引用次数: 0

Four-channel convolutional Chinese handwriting recognition based on MobileNetV2 基于MobileNetV2的四通道卷积中文手写识别

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682349

Taibing Chen, Gang Li, Pengbo Li, Ling Zhang, Zhibo Yang, Qiyang Wang

{"title":"Four-channel convolutional Chinese handwriting recognition based on MobileNetV2","authors":"Taibing Chen, Gang Li, Pengbo Li, Ling Zhang, Zhibo Yang, Qiyang Wang","doi":"10.1117/12.2682349","DOIUrl":"https://doi.org/10.1117/12.2682349","url":null,"abstract":"Handwriting Chinese Character Recognition (HCCR) is the foundation of document digitization. It is a challenging subject in the field of image classification and recognition for a series of reasons such as the large number of Chinese characters, the diversification of writing style and numerous similar characters. To solve the above problems, this paper designs a four-channel convolution recognition model based on MobileNetV2. First, the input image is sent to four-channel convolution with different receptive fields, and feature maps of different scales are extracted respectively to improve the accuracy of the model. Then the feature maps are combined to enrich the diversity of features. Afterwards, the combined features are weighted by SE Block, and more useful feature maps are screened by this means to accelerate the model convergence. Finally, the lightweight network mobilenetv2 is used to classify the weighted features. The experimental results show that the recognition accuracy of the four-channel convolution recognition model based on mobilenetv2 on the offline handwritten Chinese character set CASIA-HWDB1.1 has reached 96.05%, and the convergence speed of the model is extremely fast. Also, the memory occupation and parameter quantity are far lower than other Chinese handwriting character recognition models.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117132261","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