2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)最新文献_第9页

Improved method For Generative Adversarial Nets 生成对抗网络的改进方法

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00091

Yuan Chen, He Lu, Jie Yu, Hao Wang

{"title":"Improved method For Generative Adversarial Nets","authors":"Yuan Chen, He Lu, Jie Yu, Hao Wang","doi":"10.1109/ICHCI51889.2020.00091","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00091","url":null,"abstract":"Recently, deep learning has developed rapidly and contributed in many fields like the classification in radar and sonar applications. In some special fields like the underwater acoustic signals, the dataset for training may be scarce due to the reason of security or other restrictions, which affects the performance of the deep learning methods as those need a big dataset to ensure high accuracy. Furthermore, the original dataset is in some formats like audio, which makes those methods difficult to capture features, especially in insufficient sample case because of the interference. This paper presents a novel framework that applies the LOFAR spectrum for preprocessing to retain key features and utilises improved Generative Adversarial Networks (GANs) for the expansion of samples to improve the performance classification. Traditional convolutional GANs generate high-resolution details as a function of only spatially local points in lower-resolution feature maps. In our method, details can be generated using cues from all feature locations. Moreover, the discriminator can check that highly detailed features in distant portions of the image are consistent with each other. The experimental results show that the generated samples have high quality, which can significantly improve the classification accuracy of the neural models.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134603557","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

Vertical Oil-in-Water Flow Pattern Identification with Deep CNN-LSTM Network 基于深度CNN-LSTM网络的水-油垂直流态识别

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00088

Niu Xiangyang, Gao Yiyang, Wang Runna, Du Meng

引用次数: 0

Supervised Machine Learning Chatbots for Perinatal Mental Healthcare 用于围产期心理保健的监督机器学习聊天机器人

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00086

Ruyi Wang, Jiankun Wang, Yuan Liao, Jinyu Wang

{"title":"Supervised Machine Learning Chatbots for Perinatal Mental Healthcare","authors":"Ruyi Wang, Jiankun Wang, Yuan Liao, Jinyu Wang","doi":"10.1109/ICHCI51889.2020.00086","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00086","url":null,"abstract":"Perinatal mental health (PMH) problems are types of mood disorders which arise during pregnancy and within 24 months after the birth of a child, which affects pregnant women, newborns and family relationships. These problems may occur at any stage of maternal women. PMH is mainly diagnosed through behavioral observation, self-reporting, and behavioral scale testing. Chatbot is an effective technology. Through human-robot interaction, it can monitor the mental health status of perinatal women in real time while collecting user health data. The application of human-robot interaction in mental health services has attracted widespread attention. Compared with traditional methods, robot intervention in mental health care can help reduce the obstacles for subjects to seek help for mental health, and can collect more comprehensive and detailed data of patients, which helps users recognize their own mental health level, and can also help clinicians make diagnoses more accurately and in a timely manner. In this article, the author proposes a chatbot to monitor and assess the mental state of perinatal women. This article uses supervised machine learning to analyze the 31 characteristics of 223 samples, and trains a model to determine the anxiety, depression and hypomania index of perinatal women. Meanwhile, psychological test scales are used to assist in evaluation and make treatment suggestions to help users improve their mental health.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130876833","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: 9

A new grid subdivision method in the application of 3D seismic tomography 三维地震层析成像中网格细分新方法的应用

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00048

Zhao Qun-Feng

引用次数: 0

Research on Identification of Network Public Opinion Information based on Graph Convolutional Networks 基于图卷积网络的网络舆情信息识别研究

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00092

Yaoyi Xi, Jiaxin Wang, Yongwang Tang, Shumin Qiao, Rong Cao, Xin Liu

引用次数: 0

[Copyright notice] (版权)

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ichci51889.2020.00003

引用次数: 0

Research on the Construction of Heilongjiang Province Agricultural Products Smart Cloud Logistics Platform Based on Internet of Things 基于物联网的黑龙江省农产品智能云物流平台建设研究

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00029

Yan-e Duan

{"title":"Research on the Construction of Heilongjiang Province Agricultural Products Smart Cloud Logistics Platform Based on Internet of Things","authors":"Yan-e Duan","doi":"10.1109/ICHCI51889.2020.00029","DOIUrl":"https://doi.org/10.1109/ICHCI51889.2020.00029","url":null,"abstract":"With the continuous development of China's economic construction, the output of agricultural products in various regions has increased significantly on the original basis. As a major exporter of agricultural products, Heilongjiang Province is also showing a gradual increase in its production capacity. It has created more economic benefits for China, and the quality of life of local farmers can also be significantly improved. However, at the same time, related issues in the logistics field are also becoming increasingly prominent in the context of increasing agricultural output. In order to effectively solve the logistics problems and allow more agricultural products to circulate smoothly at home and abroad, relevant staff in the field of Internet of Things should deeply feel the important responsibilities on their shoulders and carry out timely innovations in working methods. In addition, we should also apply our valuable work experience and brand-new Internet of Things technology to agricultural product logistics, and build a smart logistics platform based on the actual situation in Heilongjiang Province. This is an inevitable trend in historical development.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131601628","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 role of artificial intelligence and autonomous systems in the decision-making center of the US mosaic war 人工智能和自主系统在美国马赛克战争决策中心的作用

2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI) Pub Date : 2020-12-01 DOI: 10.1109/ICHCI51889.2020.00012

Na Zhang, Xiaobing Zhu, Yahong Gou

引用次数: 0