2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)最新文献_第5页

Heart sound recognition method of congenital heart disease based on improved cepstrum coefficient features 基于改进倒谱系数特征的先天性心脏病心音识别方法

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00064

L. Zhiming, Miao Sheng

引用次数: 1

Fall Recognition in Open Scenes 开放场景中的跌倒识别

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00060

Kai Yao, Shanna Zhuang, Yale Zhao, Zhengyou Wang

引用次数: 0

Research on gait recognition algorithm based on deep learning 基于深度学习的步态识别算法研究

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00080

Zhang Yujie, Cai Lecai, Zhiming Wu, Kui Cheng, Di Wu, Keyuan Tang

引用次数: 0

Generative Difference Image for Blind Image Quality Assessment 基于生成差分图像的盲图像质量评价

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00021

Yunfei Han, Yi Wang, Yupeng Ma

{"title":"Generative Difference Image for Blind Image Quality Assessment","authors":"Yunfei Han, Yi Wang, Yupeng Ma","doi":"10.1109/ICCEAI52939.2021.00021","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00021","url":null,"abstract":"Image quality usually refers to the degree of error of the distorted image relative to the reference image in the human visual perception system. Image quality assessment is to score the image quality objectively. No-reference image quality assessment is limited to distorted image information, which is more challenging in the field of computer vision. In this paper, we proposed an approach based on difference image generation to address this problem. First, by removing the up-sampling layer and batch normalization layer in the Super-Resolution Generative Adversarial Network (SRGAN) to build a difference image generation model, and applying the content loss function to optimize the model. Then, the regression network is constructed based on the convolutional neural network (CNN). The regression network contains 4 convolutional layers and 2 fully connected layers and learns the correlation between the generated difference image and the image quality score to predict the distorted image quality. Finally, comparative experiments were evaluated on three public datasets. Compared with the previous state-of-the-art methods, our method obtains similar results on the LIVE dataset and achieves significant improvement on the TID2013 and CSIQ datasets. The results demonstrate that our proposed approach achieves state-of-the-art image quality prediction.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123815881","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

Effect of “Yingwei Fang” on Lower Extremity Vascular Lesions in Patients with Different Syndromic Type 2 Diabetes 应胃方对不同证型2型糖尿病患者下肢血管病变的影响

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00096

Li Ruiyu, Li Yue, L. Xing, L. Meng, Zhang Chenyu, L. Qingwen, Hou Jinjie

{"title":"Effect of “Yingwei Fang” on Lower Extremity Vascular Lesions in Patients with Different Syndromic Type 2 Diabetes","authors":"Li Ruiyu, Li Yue, L. Xing, L. Meng, Zhang Chenyu, L. Qingwen, Hou Jinjie","doi":"10.1109/ICCEAI52939.2021.00096","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00096","url":null,"abstract":"Objective: To investigate the changes of ankle-brachial index (ABI) and peak velocity of dorsal foot artery in patients with type 2 diabetes mellitus with lower extremity vascular disease treated with Yingweifang. Methods: 36 cases of type 2 diabetes mellitus with lower extremity vascular disease were observed, including 13 cases of Yin deficiency and hot, 9 cases of qi and Yin deficiency and 14 cases of Yin and Yang deficiency. Oral “Yingwei Fang” capsule, 5 capsules per time, 3 times a day, combined with the dialectical TCM dialectical theory of treatment, conventional treatment such as hypoglycemia. Changes in the ankle-brachial index (ABI) and peak flow rate of dorsal foot artery were measured after 150 days of treatment compared with before treatment. RESULTS: After treatment, ABI and peak flow rate of dorsal foot artery in diabetic lower extremity vascular disease patients were changed in different degrees (P < 0.05, P<0.01), and ABI was improved more obviously (P <0.01). Qi and Yin deficiency and Yin and Yang deficiency were also improved (P<0.05). The comparison of desiccation and heat between Qi and Yin deficiency and Yin deficiency after treatment (P<0.05); CONCLUSIONS: Yingwei Fang can significantly improve the ankle-brachial index (ABI) and peak velocity of dorsal foot artery in patients with lower extremity vascular disease of type 2 diabetes mellitus.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131384810","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 massive power data prediction based on combinatorial model 基于组合模型的海量电力数据预测应用研究

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00052

Pengcheng Li, Haitao Zhang, Haohan Hu, Wanlong Liu, Li Zhang

引用次数: 0

A New Deep Learning Method for Multi-label Facial Expression Recognition based on Local Constraint Features 基于局部约束特征的多标签面部表情识别深度学习新方法

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00048

Wanzhao Li, Peng Zhang, Wei Huang

{"title":"A New Deep Learning Method for Multi-label Facial Expression Recognition based on Local Constraint Features","authors":"Wanzhao Li, Peng Zhang, Wei Huang","doi":"10.1109/ICCEAI52939.2021.00048","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00048","url":null,"abstract":"Human emotions always have been reflected by the facial expression. In recent year, the facial expression recognition has been found that it can be treated as a multi-label task and some databases (such as JAFFE, FER+, RAF-ML.) which include information of multi-label facial expression also have been utilize to address relate issue. Simultaneously, some deep learning methods also be used to solve multi-label facial expression task, such as VGG13 and Deep Bi-Manifold CNN (DBM-CNN). But there are also have many weakness such as the inaccurate recognition of multi-label expressions. To overcome this drawback, a novel Deep learning with local constraint framework, called DL- LC framework, is proposed. The proposed framework will use the MTCNN as an implement to crop the local constraints features which include the infromation of facial expression. And the ResNet18 has been applied as a backbone network to extract the feature from the global and local constraint images, which can get more details of original image after incorporating local constraints in this new framework. The effectiveness of this model has been testified through rigorous experiments in this study. Comprehensive analyses reveal that, this model is outperform the recent state-of-the-art approaches for multi-label facial expression recognition.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285524","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: 2

Automobile airbag defect detection algorithm based on improved Faster RCNN 基于改进Faster RCNN的汽车安全气囊缺陷检测算法

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00056

Linjie Luo, Chengzhi Deng, Zhaoming Wu, Shengqian Wang, Tianyu Ye

引用次数: 0

A Comparative Study on the Individual Stock Price Prediction with the Application of Neural Network Models 神经网络模型在个股价格预测中的应用比较研究

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00046

Wenchao Lu, Wenhang Ge, Rongyu Li, Lin Yang

引用次数: 0

A Novel Framework to Synthesize Arterial Spin Labeling Images using Difference Images 基于差分图像合成动脉自旋标记图像的新框架

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00005

Feihong Li, Peng Zhang, Wei Huang

引用次数: 0