2022 International Conference on Culture-Oriented Science and Technology (CoST)最新文献_第3页

Playlabor: an Exploratory Study on Labor Control of E-Sports Boosters 游戏劳动:电子竞技助推器劳动控制的探索性研究

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00048

Xinzhu Pu, Xinyue Xu

引用次数: 0

Performance comparison of deep learning methods on hand bone segmentation and bone age assessment 深度学习方法在手部骨分割和骨龄评估中的性能比较

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00083

Yingying Lv, Jingtao Wang, Wenbo Wu, Yun Pan

{"title":"Performance comparison of deep learning methods on hand bone segmentation and bone age assessment","authors":"Yingying Lv, Jingtao Wang, Wenbo Wu, Yun Pan","doi":"10.1109/CoST57098.2022.00083","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00083","url":null,"abstract":"Bone age is the biological age that reflects the growth and development of human body. Bone age assessment has been applied and plays an important role in clinical medicine, sports science and justice. Reasonable convolution neural network (CNN) models can greatly improve the accuracy and efficiency of bone age assessment. By comparing various hand bone segmentation models trained by classical convolutional neural networks, we found that with intersection over inion (IoU) and dice similarity coefficient (Dice) as evaluation indexes, the segmentation model trained by U-Net had the best performance. Its IoU reached 0.9746, and its Dice reached 0.9871. This is contrary to our inherent recognition that the U-Net++ model is superior to the U-Net model. Based on the images segmented by U-Net, we applied five kinds of common convolutional neural networks to bone age prediction, with mean absolute error (MAE) and error accuracy within two years as evaluation indexes. The results showed that the MAE of Xception was 7.635 and the accuracy of errors within two years reached 97.59%. In this paper, we provide an optimal scheme for bone age image segmentation and bone age assessment, and provide a theoretical basis for the design of bone age assessment system.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114734140","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 Prediction Method for Dimensional Sentiment Analysis of the Movie and TV Drama based on Variable-length Sequence Input 基于变长序列输入的影视剧多维情感分析预测方法

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00010

Chunxiao Wang, Jingiing Zhang, Lihong Gan, Wei Jiang

{"title":"A Prediction Method for Dimensional Sentiment Analysis of the Movie and TV Drama based on Variable-length Sequence Input","authors":"Chunxiao Wang, Jingiing Zhang, Lihong Gan, Wei Jiang","doi":"10.1109/CoST57098.2022.00010","DOIUrl":"https://doi.org/10.1109/CoST57098.2022.00010","url":null,"abstract":"Time continuous emotion prediction problem has always been one of the difficulties in affective video content analysis. The current research mainly designs a temporally continuous long video emotion prediction method by dividing the long video into short video segments of fixed duration. These methods ignore the time dependencies between short video clips and the mood changes in short video clips. Therefore, combined with the related concepts of film and television narrative structure in cinematic language, this paper defines a prediction method for dimensional sentiment analysis of the movie and TV drama based on variable sequence length inputs. First, this paper defines a method for partitioning variable-length audiovisual sequences that set subunits of dimensional emotion prediction as variable sequence-length inputs. Then, a method for extracting and combining audio and visual features of each variable-length audiovisual sequence is proposed. Finally, a prediction network for dimensional emotion is designed based on variable sequence length inputs. This paper focuses on dimensional sentiment prediction and evaluates the proposed method on the extended COGNIMUSE dataset. The method achieves comparable performance to other methods while increasing the prediction speed, with the Mean Square Error (MSE) reduced from 0.13 to 0.11 for arousal and from 0.19 to 0.13 for valence.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116708025","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

Beam Hopping for LEO Satellite:Challenges and Opportunities 低轨卫星的波束跳变:挑战与机遇

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00072

Qi Zhao, Yiqing Hu, Zhenyu Pang, Derong Ren

引用次数: 2

Analysis and application of reservation of scenic spot based on relationship graph 基于关系图的景区预约分析与应用

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00092

Yubo Deng, Jiachuan He, Fangping Yang, Yi Yang, Zihan Ke

引用次数: 0

CT-DA: A Knowledge Extraction Method for Cultural Industry Big Data CT-DA:一种面向文化产业大数据的知识抽取方法

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00026

Shouzhi Sun, Jiali Wang, Zheng Gong, Aiping Tan, Yan Wang

引用次数: 0

Research on the Influence of Beauty Live Stream on Consumers’ Purchase Intention 美容直播对消费者购买意愿的影响研究

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00076

Luqing Wang, Ruicheng Liu

引用次数: 0

Research and Implementation of Interaction Design on Dunhuang Culture 敦煌文化交互设计的研究与实现

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/CoST57098.2022.00070

Ling Lei, Y. Liang, Xiaojian Zhang

引用次数: 1

Design and Implementation of Text Processing System Based on Summarization Algorithm 基于摘要算法的文本处理系统的设计与实现

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00018

Haoqi Sun, Ning Luo, Li-juan Zhou, Songwei Wei

{"title":"Design and Implementation of Text Processing System Based on Summarization Algorithm","authors":"Haoqi Sun, Ning Luo, Li-juan Zhou, Songwei Wei","doi":"10.1109/cost57098.2022.00018","DOIUrl":"https://doi.org/10.1109/cost57098.2022.00018","url":null,"abstract":"With the popularization and development of the Internet, text information has shown an exponential growth trend. This information overload phenomenon affects the ability of users to receive critical information, and people’s demand for quick access to information is increasing. Text summarization technology uses computers to automatically extract the key information of text, which helps to grasp the text content accurately and quickly, so it has a good application prospect. The traditional rule-based method simply counts the word frequency and lacks the consideration of the semantic information of the text, so the results are not accurate enough. To this end, this paper proposes an extractive text summarization algorithm based on multiple feature weighting, which comprehensively considers the global information, surface information, structural information, and semantic information of the text by weighting the sentence position, the total amount of keyword information, keyword distribution, and semantic similarity. This method retains the advantages of the rule-based approach from not requiring data annotation and saving computational resources while improving the text understanding capability of the model. Experimental results show that the model improves the evaluation results of the datasets, improving the quality and accuracy of text summarization. And when the model is applied to the text processing system, the user can quickly obtain the required information, effectively speeding up the process of obtaining and processing information.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115399965","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

Analysis of Emotional Influencing Factors of Online Travel Reviews Based on BiLSTM-CNN 基于BiLSTM-CNN的在线旅游评论情感影响因素分析

2022 International Conference on Culture-Oriented Science and Technology (CoST) Pub Date : 2022-08-01 DOI: 10.1109/cost57098.2022.00024

Wenheng Sun, Wan Qiu, Xiaojia Huang, Jianming Hu, Tianyuan Wu

引用次数: 0