2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)最新文献_第6页

DenseNet model with RAdam optimization algorithm for cancer image classification 基于RAdam优化算法的DenseNet模型癌症图像分类

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342268

Zhengdong Wan, Zhang Yuxiang, Xuhui Gong, Zhanghuali, Boyang Yu

{"title":"DenseNet model with RAdam optimization algorithm for cancer image classification","authors":"Zhengdong Wan, Zhang Yuxiang, Xuhui Gong, Zhanghuali, Boyang Yu","doi":"10.1109/ICCECE51280.2021.9342268","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342268","url":null,"abstract":"Application of deep learning algorithms to medical images recognition can improve diagnostic accuracy and efficiency. In recent years, computer-aided diagnosis has attracted the attention of a large number of researchers. The introduction of image processing in medicine is a important method to reduce unnecessary manual diagnosis costs and promote disease classification and detection. In this paper, we propose a novel method for metastatic cancer image classification which uses Densely Connected Convolutional Networks, Rectified Adam optimization algorithm, and focal loss. DenseNet can effectively capture the important features hidden in images. And RAdam optimization algorithm Radam is robust for model training. Our dataset is provided by the Kaggle competition, which is the modified version of the PatchCamelyon (PCam) benchmark dataset. The dataset packs the clinically relevant problem of metastasis detection into a straight-forward binary image classification problem. The experiments shows our approach can effectively identify metastatic cancer in small image patches which are taken from larger digital pathology scans on the dataset. And experimental results indicate that our proposed model is significantly better than Resnet34, Resnet50, Vgg19. The effectiveness of the DenseNet Block, Rectified Adam, focal loss is also verified.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129118198","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

Image multi-label learning algorithm based on label correlation 基于标签相关性的图像多标签学习算法

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342484

Mengyue Huang, Ping Zhao

引用次数: 1

Electricity market transaction model design combining blockchain and machine learning 结合区块链和机器学习的电力市场交易模型设计

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342201

Y. Liu, Feng Zhou

引用次数: 0

Solving Pediatric Vehicular Heatstroke with Efficient Multi-Cascaded Convolutional Networks 用高效的多级联卷积网络解决儿童车辆中暑问题

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342313

Yusen Hu

{"title":"Solving Pediatric Vehicular Heatstroke with Efficient Multi-Cascaded Convolutional Networks","authors":"Yusen Hu","doi":"10.1109/ICCECE51280.2021.9342313","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342313","url":null,"abstract":"Pediatric Vehicular Heatstroke (PVH) is the situation where children suffer fatal injuries due to heatstroke after being forgotten in vehicles. It is a severe social problem: According to incomplete statistics, at least 864 children have died due to PVH since 1998 in the USA alone, and another 22 lost their lives in 2020. In this paper, we developed a machinelearning based embedded warning system that mitigates such tragedies. Specifically, we present our Children in Vehicles (CIV) dataset, where we collected 2,076 positive samples of children and 1,529 negative samples of empty car interiors. We then present the framework and training process of our multi-cascaded convolutional network architecture that can detect children with a 98% accuracy. Furthermore, we demonstrate the power of our novel curriculum learning method, which improved the classification accuracy of our facial age estimator from 46% to 62% and its F1 score from 0.66 to 0.91. We also deployed our complete pipeline onto an embedded platform to present its overall feasibility. Additionally, we open-sourced our code and dataset for others to use & experiment with.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125939046","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

A WFRFT-TDCS Combinatory Design to Guarantee Communication Security 一种保证通信安全的WFRFT-TDCS组合设计

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342291

Yuan Liang, Xin Xiang, Rui Wang, Kun-Chang Liu, Liyan Yin, Haoqi Bi

引用次数: 1

Study of Algorithm for Aerial Target Detection Based on Lightweight Neural Network 基于轻量级神经网络的空中目标检测算法研究

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342470

Yumin Yang, Yurong Liao, Shuyan Ni, Cunbao Lin

引用次数: 4

Semi-supervised Learning in Computer-aided Diagnosis 计算机辅助诊断中的半监督学习

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342116

Yanjun Li

引用次数: 0

Multi parameter trade-off of full duplex SWIPT bidirectional DF relay system for D2D Communications D2D通信全双工SWIPT双向DF中继系统的多参数权衡

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342210

Xiaoye Shi, Zhaowei Zhang

{"title":"Multi parameter trade-off of full duplex SWIPT bidirectional DF relay system for D2D Communications","authors":"Xiaoye Shi, Zhaowei Zhang","doi":"10.1109/ICCECE51280.2021.9342210","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342210","url":null,"abstract":"The full duplex simultaneous wireless information and power transfer bidirectional DF relay communication system in device-to-device (D2D) scenario is developed on the basis of bidirectional DF relay communication system. Relay nodes transmit information and transmit energy at the same time. Considering the self-interference of full duplex and transmission threshold, this paper constructs a product trade-off function which can flexibly conFigure the proportion of information transmission and energy transmission. Through a series of simplification and calculation, the equivalent optimization problem of the above product trade-off function optimization problem is obtained, and the one variable multiple equation of the power distribution variable is obtained through the KKT condition simultaneous equations. So the product trade-off function optimization problem can be solved by Newton method, dichotomy method and other one-dimensional search methods. The experimental results show that the optimal value of z-max of product trade-off function optimization problem can be obtained through one-dimensional search in both symmetric and asymmetric channels. In symmetric channel, the solution of the equation $P_{R}$=0.28 is brought into the expression of product trade-off function to obtain the maximum value of 0.2463, which is the same as the simulation result. Similarly, the same maximum value can be obtained in asymmetric channel.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770507","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

Design and Implementation of the Information System of Retired Veteran Cadres Bureau Based on SpringBoot Framework 基于SpringBoot框架的退役干部局信息系统的设计与实现

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342126

Fei Teng, Qiwu Wu

{"title":"Design and Implementation of the Information System of Retired Veteran Cadres Bureau Based on SpringBoot Framework","authors":"Fei Teng, Qiwu Wu","doi":"10.1109/ICCECE51280.2021.9342126","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342126","url":null,"abstract":"The bureau of retired veteran cadres is a department that serves and manages the work of retired veteran cadres. There are problems such as complex management processes and low efficiency in work execution. The application of Internet technology to the government services of the retired veteran cadres bureau can effectively solve these problems. In order to promote the information management of retired veteran cadres bureau and provide convenience for retired veteran cadres to carry out learning and education and participate in cultural activities through the Internet, this paper proposes to use the SpringBoot framework to customize the development of the retired veteran cadres bureau information system. The article adopts the concept of microservice architecture, uses SpringBoot to build the overall architecture of the system, and integrates Mybits, Redis and other technologies on the SpringBoot framework. This system effectively solves the problem of the difficulty of refined management of retired veteran cadres bureau information. At the same time, the system meets the requirements of multi-terminal access, front-end separation, multi-function, low coupling, high cohesion, and easy scalability.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125543882","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

Virtual Engine-based Strategic workflow for Role Play Game “Homeland Defence” 基于虚拟引擎的角色扮演游戏《国土防御》策略工作流

2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342404

Dai Wenbin, An Xiaowei, Sun Nongliang

引用次数: 0