发布求助
文献互助 智能选刊 最新文献

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)最新文献

筛选
英文 中文
Research on Guilin Cultural and Creative Products Development Based on Clustering Algorithm 基于聚类算法的桂林市文创产品开发研究
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00012
Denghui Chai
{"title":"Research on Guilin Cultural and Creative Products Development Based on Clustering Algorithm","authors":"Denghui Chai","doi":"10.1109/ISAIAM55748.2022.00012","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00012","url":null,"abstract":"At present, the clustering algorithm in big data is widely used in pattern extraction and cultural and creative design. Guilin is a city with rich regional context, and its urban color has high representativeness and research value. This paper aims to explore the use of clustering method to extract the color information and patterns of Guilin, and guide the design and development of cultural and creative products in Guilin. Use clustering algorithm to identify the visual perception of urban color, and then use k-means clustering method to scientifically extract the color of the picture, and establish a color network model to find out the relationship between the main color, auxiliary color and color matching of urban style, so as to bring enlightenment to the color matching scheme of Guilin urban cultural and creative products.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132194906","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
Simulation of sandcastle lifetime based on cellular automata 基于元胞自动机的沙堡寿命仿真
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/isaiam55748.2022.00031
Xiaolong Xu, Jiacheng Guo, Meng Wang
{"title":"Simulation of sandcastle lifetime based on cellular automata","authors":"Xiaolong Xu, Jiacheng Guo, Meng Wang","doi":"10.1109/isaiam55748.2022.00031","DOIUrl":"https://doi.org/10.1109/isaiam55748.2022.00031","url":null,"abstract":"Every day, we look forward to vocations. During vocations, we can go to beach and enjoy interest that sea wave, sunshine and sand take to us. On almost every beach, there are people who make sandcastles out of the sand. These sandcastles are full of their enjoyment, happiness and imagination. In this paper, we discuss what 3-dimentional geometric shape of sand foundation can last longer on the beach, allowing those pleasures last longer. We discuss the optimal three-dimensional geometry of the sand base at the same sand-to-water mixture proportion using the same amount of sand. We set up a spatial rectangular coordinate system, and set up a surface equation to describe the top surface of the sand foundation. By integrating the surface function and restricting the sand volume, the relationship between the parameters in the equation is obtained. We use trigonometric models to describe the shape of waves. After discretize the space, a 3-dimensional cellular automata sandcastle simulation model is established by analyzing the stress of each cell. The computer program is used for analogue simulation and solving the model.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128902346","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 and Implementation of Fire Warning Algorithm Based on Deep Learning 基于深度学习的火灾预警算法研究与实现
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00017
Xue Li, Song Wang, Zheng Yu, T. Liu, Hong Yan
{"title":"Research and Implementation of Fire Warning Algorithm Based on Deep Learning","authors":"Xue Li, Song Wang, Zheng Yu, T. Liu, Hong Yan","doi":"10.1109/ISAIAM55748.2022.00017","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00017","url":null,"abstract":"For residential buildings, factories, gas stations, roads, forests and other fire scenarios with high incidence, intelligent fire prediction and early warning system will be realized by using cloud computing, Internet of Things computing, communication technology, artificial intelligence and other technologies to improve the intelligent level of fire prevention. This project intends to use the object detection technology of flying oar deep learning to automatically detect smoke and fire in the monitoring area and help relevant personnel to deal with it in time, so as to minimize casualties and property losses. This study can help users solve practical problems in fire and smoke detection applications more efficiently.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126609010","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
Lightweight Real-Time Polyp Segmentation Network Based on Factorized Convolution Unit 基于分解卷积单元的轻量级实时多边形分割网络
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00025
Chen Yang, Jianghai Yang
{"title":"Lightweight Real-Time Polyp Segmentation Network Based on Factorized Convolution Unit","authors":"Chen Yang, Jianghai Yang","doi":"10.1109/ISAIAM55748.2022.00025","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00025","url":null,"abstract":"The current polyp segmentation network generally uses ResNet and Res2Net as the backbone extraction network, which improves segmentation accuracy. However, due to its high computational burden and hundreds or thousands of feature channels, it limits the deployment of the network on devices with limited computing power, such as embedded devices and mobile devices. Based on the above requirements, a lightweight real-time polyp segmentation network is proposed, which uses factorized convolution unit as the basic extraction unit of the backbone network, which dramatically reduces the computational complexity and the number of parameters while maintaining the segmentation accuracy. Specifically, the proposed model has only 679,000 parameters and runs at 73FPS in a single RTX 3060 GPU to achieve real-time segmentation. Experiments show that the method in this paper achieves the trade-off of speed, network size, and accuracy in Kvasir-SEG and ClinicDB datasets, with IoU reaching 81.72% and 80.41%, respectively","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131328611","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
Data mining design for development job recruitment in Wuhan 武汉开发岗位招聘的数据挖掘设计
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00028
Q. Miao
{"title":"Data mining design for development job recruitment in Wuhan","authors":"Q. Miao","doi":"10.1109/ISAIAM55748.2022.00028","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00028","url":null,"abstract":"Due to the important strategic position of Wuhan City and the serious brain drain and asymmetry of talent recruitment information in Wuhan, this paper, from the perspective of data mining, takes the recruitment information of development positions in Wuhan published on lagou.com as the research data, using the C5.0 decision tree model and Bayesian network model for classification prediction, predicting the importance of variables, and generating some prediction rule sets to help job seekers and recruiters in the IT field to match job intentions and job requirements. The model evaluation results show that the use of decision tree model and Bayesian network model for prediction has high reference.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717065","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
Visual Analysis of Social Robots in Twitter on China Agenda Setting 社交机器人在推特上对中国议程设置的视觉分析
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00045
Zhengming Si, Haitong Li, Yuwei Ding
{"title":"Visual Analysis of Social Robots in Twitter on China Agenda Setting","authors":"Zhengming Si, Haitong Li, Yuwei Ding","doi":"10.1109/ISAIAM55748.2022.00045","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00045","url":null,"abstract":"With the development and progress of intelligent algorithms, more and more social robots are used to interfere with the information transmission and direction of international public opinion. This paper takes the agenda of COVID-19 in Twitter as the breakthrough point, and through the methods of web crawler, Twitter robot detection, data processing and analysis, aims at the agenda setting of social robots for China issues, that is, to carry out data visualization analysis for the stigmatized China image. Through case analysis, concrete and operable countermeasures for building the international communication system of China image were provided.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133292286","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
Application Research of Recommendation Algorithm Based on K-Means Clustering and Feature Tree in Human Resource Information System 基于k均值聚类和特征树的推荐算法在人力资源信息系统中的应用研究
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00008
Xiaoyan Chen
{"title":"Application Research of Recommendation Algorithm Based on K-Means Clustering and Feature Tree in Human Resource Information System","authors":"Xiaoyan Chen","doi":"10.1109/ISAIAM55748.2022.00008","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00008","url":null,"abstract":"In order to improve the efficiency of the human resources recommendation system, a K-means clustering algorithm based on the Spark platform is proposed to complete the human resources recommendation. Clustering speed; studied the information system development technology under the current big data background, and used SpringBoot, Mybatis and other technologies to build a human resource management system under the big data background.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132208177","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 Data Mining Mode of Art History Course Based onFNN 基于fnn的艺术史课程数据挖掘模式分析
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00024
Iialin Li
{"title":"Analysis of Data Mining Mode of Art History Course Based onFNN","authors":"Iialin Li","doi":"10.1109/ISAIAM55748.2022.00024","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00024","url":null,"abstract":"With the continuous development of information technology, the teaching of art history courses is also changing quietly. In recent years, the museum field teaching method that emphasizes “original works” in the teaching of art history courses has great room for improvement. This paper firstly analyzes the teaching design, teaching content and other issues by sorting out the development background of the art history MOOC course, and puts forward some research and educational view-points on the MOOC course. Teaching workers should focus on the reform of information application teaching in art history teaching, and advocate making full use of modern information technology to establish an art history teaching environment that is convenient for teachers and students to to communicate and interact. Finally, based on the fuzzy neural network technology, the data mining of the art history course is carried out, and it is concluded that FNN, as a nonlinear adaptive dynamic system, has the advantage of extracting the internal characteristics of information through self-learning, and can approximate any real situation on any closed subset with arbitrary precision. Continuous function. Through the learning of the neural network system, the knowledge contained in a large amount of data is compressed into the weights between nodes. On the basis of theoretical and image research, teachers and students should contact a large number of original works, conduct field inspections, and deeply understand the essence of Western art. and the cultural drivers behind it.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129984601","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 Application of Video Recommendation Algorithm Based on DeepFM 基于深度调频的视频推荐算法应用研究
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00014
Heng Wei, Bo Gui
{"title":"Research on The Application of Video Recommendation Algorithm Based on DeepFM","authors":"Heng Wei, Bo Gui","doi":"10.1109/ISAIAM55748.2022.00014","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00014","url":null,"abstract":"This paper studies the application of video recommendation algorithm based on DeepFM, studies the specific application of DeepFM algorithm in the field of video recommendation, and analyzes its performance. In this paper, the MovieLens video dataset is selected for experiments, and a simple video recommendation system is implemented by using UserCF, ItemCF and DeepFM. After recalling and sorting the dataset, the conclusion is drawn. The DeepFM model has superior performance in the sorting stage, and the loss is reduced by 0.55 % compared with the use of only FM model.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126287015","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 Neural Network Accelerator System for Traffic Lights Recognition Based on ZYNQ 基于ZYNQ的交通信号灯识别神经网络加速系统
2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00043
Yuqiang Ge, Yuyang Du, Chengyi Zhang
{"title":"A Neural Network Accelerator System for Traffic Lights Recognition Based on ZYNQ","authors":"Yuqiang Ge, Yuyang Du, Chengyi Zhang","doi":"10.1109/ISAIAM55748.2022.00043","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00043","url":null,"abstract":"In unmanned driving, the recognition of traffic lights and other critical signals depends on real-time performance. Due to the unique structure and low power consumption of FPGA, it has a wide application prospect in the field of artificial intelligence. Based on this, this project designs a hardware and software co-design neural network accelerator system for application in autonomous driving using ZYNQ7020 FPGA development board. The neural network accelerator allows simple configuration of the parameters, scale, and algorithms of the architecture, while providing satisfactory performance. This paper also proposes a set of pre-processing image processes that can improve recognition accuracy. After being tested and verified, this system has high accuracy and good performance, which can meet the needs of autonomous driving.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132341433","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信