2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)最新文献

Rapid and auxiliary decision system of earthquake emergency based on QGIS 基于QGIS的地震应急快速辅助决策系统

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00042

Yang Bin, Yang Li

引用次数: 0

Study on the Tribological Characteristics of Carbon Fiber Board Containing Superfine Copper Powder Additive 含超细铜粉添加剂碳纤维板摩擦学特性研究

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00091

Xiao Minhua, L. Wei, C. Wengang

引用次数: 0

Detection method and kit development of Brucella based on isotemperature amplification technology 基于恒温扩增技术的布鲁氏菌检测方法及试剂盒研制

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00075

Bin Wu, P. Yan, Qiong Zhang, Lin Zhang, Qingjie Ying

引用次数: 0

A Novel Face-based Approach for the Early Diagnosis of Parkinson’s Disease 一种新的基于面部的帕金森病早期诊断方法

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00061

Changjiang Hu, Peng Zhang, Wei Huang

{"title":"A Novel Face-based Approach for the Early Diagnosis of Parkinson’s Disease","authors":"Changjiang Hu, Peng Zhang, Wei Huang","doi":"10.1109/ICITBE54178.2021.00061","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00061","url":null,"abstract":"Parkinson’s disease (PD) is a chronic neurological disorder commonly seen in the elder population, and it severely impacts the lives of patients, their families and caregivers. The early PD diagnosis is essential to alleviate its symptoms and delay its progressions. In recent years, the PD diagnosis based on facial expressions begins to receive increasing research attentions, but contemporary related studies often suffer from the problem of incomplete inclusions of all 6 basic facial expressions and identity’s factors. As a result, inconsistencies and ambiguities often exist among contemporary related studies, and their diagnosis performances are far from satisfaction. In this study, a novel PD diagnosis method based on synthesized identity-aware facial expression images is proposed to solve the above problems. First, the identity’s factor is taken into consideration and all 6 basic facial expression images are synthesized to reflect \"non-PD scenario\" of PD patients, for the first time in the PD diagnosis field. Then, latent features are learned and automatically extracted from real / synthesized images of both PD and non-PD patients. Finally, a new triplet loss-based metric learning network is constructed to differentiate PD and non-PD patients. For experimental evaluations, a new facial expression image dataset composed of 95 PD patients is constructed in this study. The new dataset has been associated with three other public facial expression image datasets with non-PD patients. A number of popular or state-of-the-art methods in related studies have been compared with the new approach based on these datasets. The experimental results demonstrated the superiority of our method.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122594038","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 Evaluation Index System of Randomness of Individual Opinion Evolution in Knowledge Collaboration 知识协作中个体意见演化随机性评价指标体系研究

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00044

Fang Yue, Zongbo Mu, Han Zhang, Peng Huang

引用次数: 0

A Short-Term Wind Power Prediction Forecasting using Variational Modes Decomposition Based on Long-Short Term Memory 基于长短期记忆的变分模态分解短期风电预测预测

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00015

Shun-chih Sun, Wei Zheng, Jingyao Zhang

引用次数: 0

Research on predicting velocity-time integral of shunt How using time-frequency features of heart sound with correlation 如何利用具有相关性的心音时频特征预测分流速度-时间积分的研究

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00088

Mengying Zhou, H. Duan, Q. Shu, Jingjing Ye, Haomin Li

引用次数: 0

Identification of hub mRNA, miRNAs and LncRNAs of uveal melanoma with weighted gene correlation network analysis 用加权基因相关网络分析鉴定葡萄膜黑色素瘤的中枢mRNA、mirna和lncrna

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00081

Xi Yang, Xu Shao, Huifang Ye, Ying Cui, Rongrong Le

{"title":"Identification of hub mRNA, miRNAs and LncRNAs of uveal melanoma with weighted gene correlation network analysis","authors":"Xi Yang, Xu Shao, Huifang Ye, Ying Cui, Rongrong Le","doi":"10.1109/ICITBE54178.2021.00081","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00081","url":null,"abstract":"To facilitate the prompt diagnosis of recurrence and treatment of uveal melanoma (UVM), the potential diagnostic markers of UVM need to be identified. The Cancer Genome Atlas (TCGA) database offers not only RNA sequence data on UVM but also the clinical characteristics of patients. The weighted gene co-expression network analysis (WGCNA) was conducted for the construction of the co-expression modules, based on how modules correlate with clinic characteristics were explored. The co-expression modules comprised of 6023 mRNA, 632 miRNA and 3042 LncRNA in 80 samples were identified, which closely associated with several clinical characteristics. A negative correlation with blue and brown modules in mRNA was revealed by overall survival (OS) time, disease free survival (DSS) time and progression free interval (PFI) time, while yellow, green and grey modules demonstrated a positive correlation. Modules turquoise in miRNA and module blue in LncRNA were most involved in survival time. The hub gene in mRNA-miRNA-LncRNA, PLCD1, LZTFL1, LCP2, GEM, NUSAP1, miR-937 and ENSG00000249846, is essential for the development of UVM. By providing a framework of co-expression gene modules for UVM, this paper found out about several diagnostic markers that could assist in the identification of recurring UVM and the treatment of it.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124016504","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

DNDT: Infrared and Visible Image Fusion Via DenseNet and Dual-Transformer DNDT:通过致密网和双变压器实现红外和可见光图像融合

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00025

Haibo Zhao, Rencan Nie

引用次数: 10

Depthwise Over-parameterized Siamese Network for Visual Tracking 用于视觉跟踪的深度超参数化暹罗网络

2021 International Conference on Information Technology and Biomedical Engineering (ICITBE) Pub Date : 2021-12-01 DOI: 10.1109/ICITBE54178.2021.00022

Yuanyun Wang, Wenshuang Zhang, Limin Zhang, Changwang Lai, Jun Wang

{"title":"Depthwise Over-parameterized Siamese Network for Visual Tracking","authors":"Yuanyun Wang, Wenshuang Zhang, Limin Zhang, Changwang Lai, Jun Wang","doi":"10.1109/ICITBE54178.2021.00022","DOIUrl":"https://doi.org/10.1109/ICITBE54178.2021.00022","url":null,"abstract":"Siamese Network based trackers have achieved excellent performance because of their balanced accuracy and speed. Extracting effective feature of the target template and search regions is a very important problem in visual tracking. Generally, existing trackers use Convolutional Neural Network (CNN) to extract features, which make full use of the depth feature while the spatial structure information is ignored. The spatial structure information is very helpful to represent appearance characteristics of targets and templates. In this paper, we propose a novel tracking algorithm based on Siamese network. Specifically, it consists of Siamese subnetwork for feature extraction and cross correlation. Subnetwork improves feature learning capability of extracting shallow spatial information and deep semantic information, and accelerates the model training. Extensive experiments conducted on three benchmarks including OTB2015 and VOT2016 show that the proposed DOSiam tracker has superior performances and real-time response against state-of-the-art trackers while runs at more than 60 FPS.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126264921","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