2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)最新文献_第8页

An Improved Hard Thresholding Pursuit Algorithm for Compressive Sensing 一种改进的压缩感知硬阈值追踪算法

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135420

Qingliu Li, D. Ren, Yuan Luo

引用次数: 0

Study on human pose estimation based on channel and spatial attention 基于通道和空间注意的人体姿态估计研究

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135500

Yilong Liu

{"title":"Study on human pose estimation based on channel and spatial attention","authors":"Yilong Liu","doi":"10.1109/ICCECE58074.2023.10135500","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135500","url":null,"abstract":"Accurate pose estimation is crucial for understanding human behavior in images or videos. Given an RGB image, we want to be able to accurately locate some important keypoints on the body. Understanding human pose and body structure is important for high-level tasks such as human-computer interaction. Human pose estimation usually has problems such as low discrimination between human body and background, and human pose estimation based on HRnet network does not make full use of important feature information. To solve these problems, a human pose estimation method MCSA-hrnet (Multi-scale Channel and Spatial Attention) based on multi-scale channel and spatial attention is improved by using channel attention mechanism and spatial attention mechanism. Starting from the channel domain and spatial domain, MCSA-HRnet integrates the multi-level attention mechanism into the high-resolution network structure, and designs the channel attention block and spatial attention block. This enables the network to focus on the regions of the image that are highly associated with the human body and not on other regions. MCSA-HRnet uses 1×1 convolutions for information extraction in the core part of the ca block (channel attention block) and parallel $boldsymbol{3mathrm{x}3}$ and $boldsymbol{5mathrm{x}5}$ convolutions in the sa block (spatial attention block). Different sizes of parallel convolutions can derive spatial attention maps of different scales, which makes the ability of the network to distinguish human features from background features more significant. Thus, the human body region and its key points can be accurately located. The improved method is verified on COCO keypoint dataset, and the results show that MCSA-HRnet can effectively improve the accuracy of human pose estimation joint point localization.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121920262","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

Graph Convolutional Extreme Learning Machine Autoencoder for Graph Embedding 图卷积极限学习机自编码器图嵌入

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135334

Xinyi Lin, Xiaoyun Chen, Yanming Lin

引用次数: 0

ViT-R50 GAN: Vision Transformers Hybrid Model based Generative Adversarial Networks for Image Generation ViT-R50 GAN:基于视觉变压器混合模型的图像生成对抗网络

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135253

Y. Huang

引用次数: 1

Design of system for parkinson's hand tremor evaluating based on machine learning 基于机器学习的帕金森手颤评估系统设计

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135312

Meijiao Wang, Chen Xu, Xiaoqiang Ji, Xiaoting Kan, Sun Qi

{"title":"Design of system for parkinson's hand tremor evaluating based on machine learning","authors":"Meijiao Wang, Chen Xu, Xiaoqiang Ji, Xiaoting Kan, Sun Qi","doi":"10.1109/ICCECE58074.2023.10135312","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135312","url":null,"abstract":"About 70% of Parkinson's disease patients have the initial symptoms of tremors at the end of upper limbs in the clinic, which seriously affects the normal work and life of patients. The severity of Parkinson's disease patients is evaluated clinically by doctors based on their experience, lacking objective evaluation criteria. It is particularly important to study an objective and fast tremor assessment method to assist doctors in the diagnosis and treatment of Parkinson's disease. In this paper, a recognition system of Parkinson's patients' hand function tremor based on machine learning is designed. Firstly, the acceleration sensor is used to collect the hand tremor signal, and then the median and band-pass filters are used to remove the noise. Next, the time-domain and frequency-domain characteristics of the tremors signal are extracted. Finally, BP neural network algorithm is used to classify the tremor degree into three categories. 12 volunteers were selected to carry out the system function experiment, and the results show that the system can achieve the classification of hand tremors, with an accuracy rate of 84.5%. The Parkinson's patient's hand tremor evaluation system designed in this paper has the advantages of low cost, small size, comfortable wearing, and high accuracy. It can assist clinical rehabilitation training and help doctors formulate scientific and reasonable rehabilitation training programs.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129580981","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 Safety Evaluation of Yangtze River Embankment Based on Fuzzy Neural Network 基于模糊神经网络的长江堤防安全评价研究

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135298

Dadong Zhu, Maoping Li, Hongping Zhou, Gang Zhao

{"title":"Research on Safety Evaluation of Yangtze River Embankment Based on Fuzzy Neural Network","authors":"Dadong Zhu, Maoping Li, Hongping Zhou, Gang Zhao","doi":"10.1109/ICCECE58074.2023.10135298","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135298","url":null,"abstract":"The Yangtze River embankment project is a critical barrier to ensuring the safety of the Yangtze River channel, and it is necessary to strengthen the safety monitoring of the embankment project. Embankment safety is influenced by various factors, while the influence weight of each factor is difficult to determine, and the expert scoring method and other methods are highly subjective and mainly rely on empirical judgment. Based on machine learning theory, this paper constructs an embankment safety evaluation method based on T-S model neural network. The model primarily consists of four layers of structure. (1) the input layer, this paper selects six types of evaluation factors as input parameters; (2) the fuzzification layer; (3) the fuzzy inference layer, matching the fuzzy rules and calculating the connection weights using the concatenation algorithm; (4) output layer, outputting the embankment safety coefficient value by inverse normalization and defuzzification. This paper selected three specific experimental areas in the river core of the Nanjing section of the Yangtze River as the research objects, used the data to conduct safety evaluation tests, and compared them with the actual operation of the embankment. The experimental results show that the safety level of the embankment calculated by the design method is consistent with the existing safety state of the embankment.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133914596","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

Optimization Methods for Real-time Volumetric Cloud Simulation 实时体云模拟的优化方法

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135300

Shuiping Zhang, Guanxing Yuan, Bi Wang

引用次数: 0

Direct ellipse fitting by minimizing the L0 algebraic distance 通过最小化L0代数距离的直接椭圆拟合

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135531

Gang Zhou, Zhenghui Hu, Xiaolei Chen, Qingjie Liu

{"title":"Direct ellipse fitting by minimizing the L0 algebraic distance","authors":"Gang Zhou, Zhenghui Hu, Xiaolei Chen, Qingjie Liu","doi":"10.1109/ICCECE58074.2023.10135531","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135531","url":null,"abstract":"Given a set of 2D scattering points from an edge detection operator, the aim of ellipse fitting is to construct an elliptic equation that best fit the observations. For the data collected often contain noisy, uncertainty, and incompleteness which constitutes a considerable challenge for all algorithms. To address this issue, a method of direct ellipse fitting by minimizing the L0 algebraic distance is presented. Unlike its L2 counterparts that assumed the fitting error follows a Gaussian distribution, our method tried to model the outliers using the L0 norm of the algebraic distance between the ideal elliptic equation and its fitting data. In addition, an efficient numerical algorithm based on alternating optimization strategy with half-quadratic splitting is developed to solve the resulting L0 minimization problem and a detailed research of the selection of algorithm parameters is carried out benefit from which it does not suffer from the convergence issues due to poor initialization, which is an open question encountered in all iterative based approaches. Numerical experiments suggest that the proposed method achieves a very high precision and reliability to various bias especially for Non-Gaussian artifacts as well as easy to implement.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132292682","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

Risk assessment method of power marketing operation based on convolutional neural network 基于卷积神经网络的电力营销运营风险评估方法

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135259

Jingyi Liu, Jiawei Qi, Kun Wang, Zheng Liu

{"title":"Risk assessment method of power marketing operation based on convolutional neural network","authors":"Jingyi Liu, Jiawei Qi, Kun Wang, Zheng Liu","doi":"10.1109/ICCECE58074.2023.10135259","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135259","url":null,"abstract":"With the abolition of the sales price of China's industrial and commercial catalog, the competition in the power purchase market of industrial and commercial users is becoming increasingly stimulated. In order to solve the problem of difficult and low accuracy of power marketing operation risk assessment for industrial and commercial users, a power marketing operation risk assessment method based on convolutional neural network is proposed. Firstly, the neighbor propagation clustering method is used to analyze the clustering of industrial and commercial users, and the evaluation characteristics of industrial and commercial users are obtained. On this basis, the set of electric power marketing operation evaluation indicators is constructed. Secondly, the convolutional neural network is used to adjust the weight of the evaluation index, and the power marketing operation risk of industrial and commercial users is evaluated. Finally, the accuracy of the method was 96.37% when applied in a city. The application results show that the proposed method can effectively evaluate the risks of industrial and commercial power marketing.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133179535","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

Tamper-proof Research Based on Digital Culture Museums 基于数字文化博物馆的防篡改研究

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135291

Jiale Li, Jingbing Wu, Hanxi Wang

引用次数: 0