Fifth International Conference on Computer Information Science and Artificial Intelligence最新文献

Neural mechanism of visual paralanguage based on computer network 基于计算机网络的视觉副语言的神经机制

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2669543

Kai Zhang, Li Zhang

{"title":"Neural mechanism of visual paralanguage based on computer network","authors":"Kai Zhang, Li Zhang","doi":"10.1117/12.2669543","DOIUrl":"https://doi.org/10.1117/12.2669543","url":null,"abstract":"Various communication-based computer network technologies have penetrated the lives of people because of the widespread use of smartphones and the rapid development of computer network technology. In social communication, people can not only transmit information through various language messages (such as speech, vocabulary, and sentences), but also transmit emotions and attitudes through Paralanguage Cues (such as tones, body posture and facial expression). However, the lack of expression, tone, gestures, and other non-verbal symbols in online communication will affect the transmission of information. To solve this problem, various expressions of Internet emoticons have emerged, such as emojis and stickers. In order to explore the differences between paralanguage and language in Internet communication, we reviewed the literature findings based on ERP technology （i.e., event related potentials technology can provide a more accurate time-window for the brain to respond to events in the last 20 years and found that the early neural mechanisms (activation of attention and configuration recognition around 100-200milliseconds activated in cerebral cortex) of paralanguage based on Internet network are generally similar to those induced by language. In addition, the Neural mechanism of visual paralanguage is like language, also can configuration cognition (around 200 milliseconds), and semantic activation in the middle stage (around 400 milliseconds) as well as reanalysis of syntactic processing in the later stage (around 600 milliseconds).","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114980501","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

Power grid fault diagnosis method based on alarm information and PMU fusion 基于告警信息与PMU融合的电网故障诊断方法

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2668200

Jiang Liu, Ling Zheng, Xu Zhang, Zixing Guo

{"title":"Power grid fault diagnosis method based on alarm information and PMU fusion","authors":"Jiang Liu, Ling Zheng, Xu Zhang, Zixing Guo","doi":"10.1117/12.2668200","DOIUrl":"https://doi.org/10.1117/12.2668200","url":null,"abstract":"With the rapid development of smart grid technology, more and more attention has been paid to the stability of the power grid. When the power grid fails, the dispatch center will receive various types of data, including the PMU data collected by the PMU (Power Management Unit) device used by the Wide Area Monitoring System (WAMS) and the data collected by the Supervisory Control System for Data Acquisition and Control (SCADA). Alarm information data, they describe the same grid fault from different dimensions. At present, the power grid fault diagnosis based on PMU data and alarm information texts has been fully studied, but the information source is single, and it is difficult to ensure the accuracy of the diagnosis results when complex faults and multiple faults occur in the power grid. This paper starts with the information source of power grid fault diagnosis and develops a power grid fault diagnosis method that integrates the dual data sources of PMU and alarm information: 1. effectively connect alarm message text and PMU based on fault events. 2. complete the fusion of PMU and alarm information to improve the scope and accuracy of power grid fault diagnosis. Finally, the simulation fault data is used to test. The experimental results show that the accuracy of fault diagnosis of dual data source fusion is higher than that of single data.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849222","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 multi-target tracking method based on Kalman filter and deep learning 基于卡尔曼滤波和深度学习的多目标跟踪方法研究

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667871

Jiancheng Liu, Zhenming Wang, Zaikun Han, Yinglong Feng, Gang Hou

{"title":"Research on multi-target tracking method based on Kalman filter and deep learning","authors":"Jiancheng Liu, Zhenming Wang, Zaikun Han, Yinglong Feng, Gang Hou","doi":"10.1117/12.2667871","DOIUrl":"https://doi.org/10.1117/12.2667871","url":null,"abstract":"In harsh environments such as rain, snow, fog, and haze, the target perception capability of the optoelectronic system is seriously reduced. At the same time, the embedded image processing hardware platform completes high-definition video image preprocessing, target detection and other image processing tasks with slow response and time-consuming. The key video frame decoding proposed in this paper reduces the requirement of the tracker on the computing power of the system, and the image enhancement reduces the influence of the environment on the tracking effect. At the same time, the target tracking problem is converted into a \"detection-prediction-tracking\" problem. The detection model obtains the target position of the current video frame in real time, and the prediction model introduces the historical motion information of the target to predict the current position of the target. The tracker determines the target position of the detection model and the prediction model. Confidence tracking results are obtained after scoring. The experimental results show that the method can solve the influence of target deformation and occlusion and harsh environment on the tracking results to a certain extent, reduce the loss rate of tracking targets, and improve the accuracy and stability of tracking.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115059455","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

DJ-Agent: music theory directed a cappella accompaniment generation using deep reinforcement learning DJ-Agent:音乐理论指导无伴奏一代使用深度强化学习

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667902

Jiuming Jiang

引用次数: 0

Design and analysis of OAM-DM underwater wireless optical communication system OAM-DM水下无线光通信系统的设计与分析

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667334

Jingyu Wang, Shaohua Zhou, Juan Li, Chengjin Wang

引用次数: 0

Design and application of rhythmic gymnastics auxiliary training system based on Kinect 基于Kinect的艺术体操辅助训练系统的设计与应用

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667911

Qinghua Zhuang

{"title":"Design and application of rhythmic gymnastics auxiliary training system based on Kinect","authors":"Qinghua Zhuang","doi":"10.1117/12.2667911","DOIUrl":"https://doi.org/10.1117/12.2667911","url":null,"abstract":"Based on Microsoft Kinect equipment, this paper adopts motion capture technology to collect human motion data in the actual training process of rhythmic gymnastics, designs and develops the functional module of motion data analysis combined with ASP.NET development environment, and integrates and packages other auxiliary functional modules to form an auxiliary training system of rhythmic gymnastics. Aiming at all kinds of problems in the teaching practice of rhythmic gymnastics in colleges and universities, the system will put forward a comprehensive application solution, which takes the physical movements, equipment movements and self-selected complete movements of rhythmic gymnastics students in daily training in colleges and universities as the research objects, takes the transformation and analysis of movement information data as the method, and takes the visual interaction at the network end as the display form. It greatly facilitates the practical application of students and teachers, effectively improves the training effect of students, achieves the purpose of auxiliary training, optimizes the teaching process of rhythmic gymnastics education, and further promotes the process of information teaching construction in colleges and universities.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114153283","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 study of object transformation based on CycleGAN 基于CycleGAN的对象变换研究

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667890

Junqing Wang

{"title":"The study of object transformation based on CycleGAN","authors":"Junqing Wang","doi":"10.1117/12.2667890","DOIUrl":"https://doi.org/10.1117/12.2667890","url":null,"abstract":"At present, generative adaptive networks (GAN), has become a popular module in deep learning. GAN is very effective in image generation and image style migration. At present, the research on the migration of image style is focused on images such as oil painting and landscape painting, and lacks the research on the conversion between object images. This paper extends the style transfer technology to object recognition, uses CycleGAN method to learn the mapping relationship between zebra and horse, and realizes the transformation between zebra and horse. Viewing the generation effect of different learning methods by changing the learning times and learning rate policy. This work realizes the conversion between zebra and horse, and shows the generated pictures under different training times and different learning situations. Under the same training times, the conversion effect from horse to zebra will be better. After a certain number of trainings, the training effect will gradually decline. The conversion effect of the same type will be improved with the increase of training times. Different learning rate policies will bring different generation effects.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129772099","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

AI-based substation construction remote management and violation detection system 基于人工智能的变电站施工远程管理与违规检测系统

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667408

Quan Li, Kai Yan, Hao Li, Yang Yang

引用次数: 0

Design and implementation of art grading line dance scoring system based on Android and SQLite 基于Android和SQLite的艺术评分排舞评分系统的设计与实现

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2667704

Ting Meng, Han Li

引用次数: 0

Research on stock trading prediction based on MAD and Q-learning 基于MAD和q学习的股票交易预测研究

Fifth International Conference on Computer Information Science and Artificial Intelligence Pub Date : 2023-03-28 DOI: 10.1117/12.2668175

Yikai Sun, Ming Gao, Chuyuan Yang, Dong Yuan, Penghui Zhu, Hao Dong, Neng Zhou

引用次数: 1