2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)最新文献_第3页

Research of Pedestrian Re-identification Method Based on Video Surveillance 基于视频监控的行人再识别方法研究

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991439

Li Yao, Zihan Feng, Tiantian Zhu, Yan Wan

{"title":"Research of Pedestrian Re-identification Method Based on Video Surveillance","authors":"Li Yao, Zihan Feng, Tiantian Zhu, Yan Wan","doi":"10.1109/ICIIBMS46890.2019.8991439","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991439","url":null,"abstract":"In order to solve the problem of person recognition in cross-view video sequences of non-overlapping camera, most of the current person re-identification models based on deep learning either need to manually label features as their attributes, or learn the overall single semantic level of feature representation. This paper proposes a person re-identification method based on DNN with multi-level feature fusion, it can automatically learn multi-level discriminative visual factors that are insensitive to viewing condition changes, and identify and utilize them when matching images. Firstly, this paper uses the HOG feature to perform person detection on the video of the two cameras respectively. The person images detected of the camera1 are used as the prob, the person images detected in the camera2 are used as the gallery, and then the two parts are put into the person re-ID model and completed by the training. Finally, the cross-view tracking is implemented for the re-identified persons in combination with the KCF algorithm. The experimental results confirm the accuracy and efficiency of the method.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498202","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 of Support Vector Machine in uncertainty Evaluation of geometric tolerance Measurement 支持向量机在几何公差测量不确定度评定中的应用

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991517

Kecheng Zhang, Wei Zhang, Guo Cheng, Siyuan Liu

引用次数: 0

Primary Liver Cancer Early Screening Based on Gradient Boosting Decision Tree and Support Vector Machine 基于梯度增强决策树和支持向量机的原发性肝癌早期筛查

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991441

Cao Guogang, Li Mengxue, Cao Cong, Wang Ziyi, Fang Meng, G. Chunfang

引用次数: 2

A Fault Diagnosis Method for Flexible Manufacturing Tool System Based on Fuzzy Petri Net 基于模糊Petri网的柔性制造工具系统故障诊断方法

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991475

Zheyi Chen, Bing Xu, Na Lu, W. Song

{"title":"A Fault Diagnosis Method for Flexible Manufacturing Tool System Based on Fuzzy Petri Net","authors":"Zheyi Chen, Bing Xu, Na Lu, W. Song","doi":"10.1109/ICIIBMS46890.2019.8991475","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991475","url":null,"abstract":"In flexible manufacturing system, the tool system is the main tool for metal cutting. Whether the tool system is used optimally, whether the scheduling is reasonable and whether the management is perfect will have a great impact on the utilization rate, production efficiency and production quality of the whole flexible manufacturing system. In this paper, the fuzzy Petri net is introduced into the fault diagnosis technology of flexible manufacturing tool system, and the fuzzy Petri net model of flexible manufacturing tool system is established .Using the established fault diagnosis model, not only the fault diagnosis can be carried out according to various information, but also the comprehensive diagnosis can be carried out according to the fault diagnosis results, which can ensure the efficient operation of flexible manufacturing tool system. A bidirectional feature modeling method combining forward reasoning and reverse validation is proposed to diagnose faults, and fault transition sets are defined to record fault propagation paths to prevent the recurrence of fault transition. The reasoning results verify the reliability and accuracy of the fault diagnosis system, and provide a new fault diagnosis method for flexible manufacturing tool system.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130837111","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

Brain Tumor Recognition Based on Data Augmentation and Convolutional Neural Network 基于数据增强和卷积神经网络的脑肿瘤识别

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991503

Xu Han, Huang Zheng, Zhao Yiwen, Song Guoli

引用次数: 1

A Review of Deep Learning for Single Image Super-Resolution 单幅图像超分辨率深度学习研究综述

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991477

Lanfeng Zhou, Shuaijie Feng

{"title":"A Review of Deep Learning for Single Image Super-Resolution","authors":"Lanfeng Zhou, Shuaijie Feng","doi":"10.1109/ICIIBMS46890.2019.8991477","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991477","url":null,"abstract":"Super-Resolution (SR) refers to the reconstruction of corresponding high-resolution images from observed low-resolution images, which has important application value in monitoring equipment, satellite images and medical images. According to the number of input images, super-resolution can be divided into single image Super-Resolution (SISR) and multi-frame image super-resolution (MISR), in which single image super-resolution is better and more respected in efficiency and practical application. So far, mainstream algorithms of SISR are mainly divided into three categories: interpolation-based methods, reconstruction-based methods and learning-based methods. Because of the high performance of in-depth learning, Deep Learning for Single Image Super-Resolution has attracted much attention in the past five years. In view of the current SISR hotspot, i.e. the single image super-resolution method based on depth learning, this paper summarizes the development history of SISR, studies the advantages and disadvantages of each excellent algorithm, and discusses the development trend and challenges of the algorithm.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121180132","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: 5

Fuzzy Comprehensive Evaluation of Employee Production Safety Based on Fine Kinney 基于Fine Kinney的员工安全生产模糊综合评价

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991551

Xia Rui, Zhang Yu, Ye Xiao Tong

引用次数: 0

Fault Detection of Discriminant Improved Local Tangent Space Alignment 判别改进局部切线空间对准的故障检测

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991493

Sihang Li, Ping Qian, Haoyu Gu

引用次数: 2

Inhibition of Addictive Behaviors by Peer-Group Effect in a Conditional Delayed Reward Task 条件延迟奖励任务中同伴群体效应对成瘾行为的抑制作用

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991510

Takashi Sato

{"title":"Inhibition of Addictive Behaviors by Peer-Group Effect in a Conditional Delayed Reward Task","authors":"Takashi Sato","doi":"10.1109/ICIIBMS46890.2019.8991510","DOIUrl":"https://doi.org/10.1109/ICIIBMS46890.2019.8991510","url":null,"abstract":"In recent years, especially in the adolescent generation, there has been a problem that relying on games and the Internet by the people interferes with their lives. This problem can be regarded as one of the delayed reward tasks. In this study, we propose a conditional delayed reward task in which players can get small reward by continuing playing the game without studying, but large negative rewards are given to the players later. In order to investigate the cause and countermeasures of this problem, we adopt a reinforcement learning model and focus on the peer-group effect (PGE) in which positive or negative influences are given from the group to individuals as one of ways of inhibiting the problem. Our simulation results showed that, in a case of the state without the PGE, individuals with a small gamma value, which is one of the parameters of the reinforcement learning model and suggested to correspond to the amount of serotonin in the brain, continue to play the game; namely, become a kind of addict state. We have also found that, in the condition with the PGE, players who were in game dependent in the absence of the PGE become to choose studying than gaming.","PeriodicalId":444797,"journal":{"name":"2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121678407","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

On the equilibrium points of a proposed SIMVW epidemic model with feedback vaccination effort 具有反馈接种努力的SIMVW流行病模型的平衡点

2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2019-11-01 DOI: 10.1109/ICIIBMS46890.2019.8991508

Josu Femandez-Pereda, M. L. la Sen, S. Alonso-Quesada

引用次数: 0