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

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Local Culture Genes Visualization Evaluation using Data Mining and Analytic Hierarchy Processes : Take South China University of Technology as an Example 基于数据挖掘和层次分析法的地方文化基因可视化评价——以华南理工大学为例
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342264
Yi J. Liang, Mingnuo Chen
{"title":"Local Culture Genes Visualization Evaluation using Data Mining and Analytic Hierarchy Processes : Take South China University of Technology as an Example","authors":"Yi J. Liang, Mingnuo Chen","doi":"10.1109/ICCECE51280.2021.9342264","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342264","url":null,"abstract":"This paper studies the selection process and information visualization method of local cultural gene evaluation indicators based on the analysis of data by analytic hierarchy process (AHP). First, the local cultural gene map is constructed by information visualization tools. Then the qualitative analysis of the cultural gene map is carried out through user perception. Finally, the multi-dimensional data and analytic hierarchy process are used to evaluate the visualization of local cultural genes. The example of South China University of technology is used to verify the effectiveness and feasibility of the new scheme.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"229 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":"123316132","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
Flower Classification and Recognition Based on Significance Test and Transfer Learning 基于显著性检验和迁移学习的花卉分类与识别
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342468
Rongxin Lv, Zhongzhi Li, Jiankai Zuo, Jing Liu
{"title":"Flower Classification and Recognition Based on Significance Test and Transfer Learning","authors":"Rongxin Lv, Zhongzhi Li, Jiankai Zuo, Jing Liu","doi":"10.1109/ICCECE51280.2021.9342468","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342468","url":null,"abstract":"Aiming at the problem that traditional flower classification methods and ordinary convolutional neural networks are difficult to reduce the effect of flower background, the classification effect is not ideal. This paper designs a flower classification model that combines saliency detection and VGG-16 convolutional neural network, and adopts stochastic gradient descent algorithm and prevents over-fitting technology to improve the model. Experiments on the international public flower recognition data set Oxford flower-102 show that the model proposed in this paper is better than other traditional network models and has high recognition accuracy, robustness and generalization ability, which can classify flowers and have higher practical value accurately and quickly.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"55 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":"123395900","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: 8
Melanoma Detection Using Convolutional Neural Network 卷积神经网络检测黑色素瘤
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342142
Runyuan Zhang
{"title":"Melanoma Detection Using Convolutional Neural Network","authors":"Runyuan Zhang","doi":"10.1109/ICCECE51280.2021.9342142","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342142","url":null,"abstract":"Skin cancer is a typical common cancer. Melanoma, also known as malignant melanoma, is the most lethal form of skin cancer and responsible for 75% of skin cancer deaths, despite being the least common skin cancer. The best way to combat that is trying to identify it as early as possible and treat it with minor surgery. In this paper, I systematically study melanoma and notice that using deeper, wider and higher resolution convolutional neural networks can obtain better performance. Based on these observations, I propose an automated melanoma detection model by analysis of skin lesion images using EfficientNet-B6, which can capture more fine- grained features. The experimental evaluations on a large publicly available dataset ISIC 2020 Challenge Dataset, which is generated by the International Skin Imaging Collaboration and images of it are from several primary medical sources, have demonstrated state-of-the-art classification performance compared with prior popular melanoma classifiers on the same dataset.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"26 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":"123599265","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: 16
A fatigue driving detection method based on Frequency Modulated Continuous Wave radar 基于调频连续波雷达的疲劳驾驶检测方法
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342080
Zhening Dong, Meiyan Zhang, Jinwei Sun, Tianao Cao, Runqiao Liu, Qisong Wang, Danliu
{"title":"A fatigue driving detection method based on Frequency Modulated Continuous Wave radar","authors":"Zhening Dong, Meiyan Zhang, Jinwei Sun, Tianao Cao, Runqiao Liu, Qisong Wang, Danliu","doi":"10.1109/ICCECE51280.2021.9342080","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342080","url":null,"abstract":"Fatigue driving often causes serious traffic accidents and heavy casualties. In order to detect fatigue driving, the application based on driver’s physiological characteristics have been presented and investigated. However, the existing methods are usually contacting and the detection environment is singular. The accuracy under face occlusion is always low and some fatigue recognition indicators are missing. Therefore, this paper proposes a method of fatigue driving detection based on Frequency Modulated Continuous Wave (FMCW) radar. An millimeter wave(mmWave) AWR1642 radar sensor was chosen, and the platform of fatigue driving detection was designed and built. Respiration and heartbeat signals were acquired, separated and preprocessed. In addition, logistics regression was utilized in the fatigue driving judgment algorithm. Multiple indicators of heart rate frequency, respiration frequency, heart rate amplitude and respiration amplitude were fused. The results showed that the accuracy of determining driving fatigue was up to S5%. Our proposed method realizes the accurate non-contacting detection of respiration and heartbeat signals of human beings. It provides all-weather and multi-index measurement, which is suitable to most driving environments.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"455 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":"116768308","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: 7
Implementation of Low Delay Distribution Terminal Security Protection 低延时配电终端安全保护的实现
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342232
Siliang Suo, Kaitian Huang, Xiaoyun Kuang, Yang Cao, Liming Chen, Wenwei Tao
{"title":"Implementation of Low Delay Distribution Terminal Security Protection","authors":"Siliang Suo, Kaitian Huang, Xiaoyun Kuang, Yang Cao, Liming Chen, Wenwei Tao","doi":"10.1109/ICCECE51280.2021.9342232","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342232","url":null,"abstract":"The security protection function of the existing power distribution terminals is mainly achieved by external encryption devices. Aiming at the serial port problems of large transmission delay and low transmission speed, which is between power distribution terminals and encryption devices, this paper presents a method to realize the low latency security protection of power distribution terminals. By means of the built-in security module of distribution terminals and using the high-speed SPI interface, the data transmission with low latency and high bandwidth can be realized to meet the demand of delay sensitivity for distribution automation services.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"118 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":"121379717","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
A New Cost-sensitive SVM Algorithm for Imbalanced Dataset 一种新的代价敏感的支持向量机非平衡数据集算法
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342072
Zheng Hengyu
{"title":"A New Cost-sensitive SVM Algorithm for Imbalanced Dataset","authors":"Zheng Hengyu","doi":"10.1109/ICCECE51280.2021.9342072","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342072","url":null,"abstract":"Support Vector Machine(SVM) is a popular machine learning algorithm for its excellent generalization ability. However, similar to most of traditional algorithms, the proposal of SVM is based on an assumption that the dataset is nearly balanced, and when SVM is applied in imbalanced dataset, the result may be bias towards majority class which leads to poor performance. To solve this problem, a new cost-sensitive SVM algorithm based on samples density are proposed in this paper. In the proposed algorithm, samples’ weights are depended on sample density estimated from Kernel Density Estimation(KDE) method, and furthermore, the samples’ weights are modified to enlarge the weights of border samples and reduce the weights of noise samples based on Support Vector Data Description(SVDD) algorithm. The experiments result shows that the proposed algorithm could achieve satisfactory performance.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"43 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":"126139222","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: 1
AttCorr: A Novel Deep Learning Model for Flow Correlation Attacks on Tor 基于Tor的流量关联攻击的深度学习模型
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342534
Ji Li, Chunxiang Gu, Xieli Zhang, Xi Chen, Wenfen Liu
{"title":"AttCorr: A Novel Deep Learning Model for Flow Correlation Attacks on Tor","authors":"Ji Li, Chunxiang Gu, Xieli Zhang, Xi Chen, Wenfen Liu","doi":"10.1109/ICCECE51280.2021.9342534","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342534","url":null,"abstract":"The proliferation of illegal information and criminal behavior on anonymous networks arouses the demand for deanonymization attacks on anonymous communication systems. Flow correlation is a common technique for deanonymization attacks, but most related works currently are based on statistical learning models, thus suffering from burdensome artificial feature engineering. In this paper, we design a novel deep learning model AttCorr for flow correlation attacks on Tor. AttCorr takes the raw traffic features of flow pair as input, including packet sizes, flow directions and inter-packet delays, and uses the multi-head attention mechanism to capture the flow information involved in features and the complex nature of noise in Tor. Experiment results show that AttCorr achieves the same level of accuracy as the stateof-the art method of DeepCorr with lower complexity, simpler feature processing and better interpretability.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"34 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":"128155971","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
Research on the method of improving community governance capability based on block-chain technology 基于区块链技术提升社区治理能力的方法研究
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342128
Peiqi Deng, Yan Ouyang
{"title":"Research on the method of improving community governance capability based on block-chain technology","authors":"Peiqi Deng, Yan Ouyang","doi":"10.1109/ICCECE51280.2021.9342128","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342128","url":null,"abstract":"In recent years, the rapid development of blockchain technology has gradually expanded from the financial field to the social field, bringing new opportunities and challenges for community governance innovation. In this paper, we try to find a way to use blockchain technology to solve some problems of community governance. So, a “private blockchain+consortium blockchain” concept is proposed for helping improve the capability of community governance, for the purpose of fulfilling the needs of community residents during the period of COVID-19 epidemic. This paper is concluded with the advantages and limitations of the application of blockchain technology in the community governance on epidemic prevention.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"12 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":"127235332","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
Research and Design of Electric Energy Online Metering Device for High Voltage Transmission Line Based on Electric Field Coupling Method 基于电场耦合法的高压输电线路电能在线计量装置的研究与设计
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342120
Xin Tang
{"title":"Research and Design of Electric Energy Online Metering Device for High Voltage Transmission Line Based on Electric Field Coupling Method","authors":"Xin Tang","doi":"10.1109/ICCECE51280.2021.9342120","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342120","url":null,"abstract":"The energy metering of high-voltage transmission lines usually adopts voltage transformer PT to reduce the voltage, and then combines with current transformer CT on the secondary terminal. The reason is that the voltage, current and phase difference cannot be directly obtained. In order to overcome the problem that the traditional electric energy metering device cannot directly measure the electric energy of high-voltage transmission lines, this paper proposes a noncontact method to obtain the voltage phase of high-voltage transmission lines based on the field coupling method, and uses the open-ended current transformer to obtain the effective value and current phase of the current. The practical test shows that the electric energy metering device is easy to use, low cost, stable and reliable, and can meet the direct measurement of electric energy of high-voltage transmission lines.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"17 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":"131898037","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: 1
Mini neural network based on knowledge distillation for dynamic gesture recognition in real scenes 基于知识蒸馏的迷你神经网络在真实场景下的动态手势识别
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342127
Y. Shu, Dongping Zhang, Ping Chen, Yang Li
{"title":"Mini neural network based on knowledge distillation for dynamic gesture recognition in real scenes","authors":"Y. Shu, Dongping Zhang, Ping Chen, Yang Li","doi":"10.1109/ICCECE51280.2021.9342127","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342127","url":null,"abstract":"At present, gesture interaction has become one of the important ways of human-computer interaction, and the human hand, as the most flexible organ in the body, will make non-contact dynamic gesture interaction more convenient and more versatile. However, because of the diversity and uncertainty of gestures in time and space, and the complex deformable body of the human hands, it finally leads to the low recognition rate of dynamic gesture recognition in real scenes. Aiming at the difficulty of hand feature recognition and positioning, and the interference problem of unconstrained environment, this paper proposes a lightweight neural network based on distillation collaborative training for dynamic gesture recognition. This method uses knowledge distillation to train the deep network and the lightweight network together to improve the recognition performance of the lightweight neural network. At the same time, LSTM is used to improve the network's recognition rate of dynamic gestures of different durations in real scenes. In this paper, the lightweight dynamic gesture recognition network was tested on 20BN-Something-Something V2, and the accuracy rate was as high as 64.3%.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"20 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":"134135843","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: 1
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