2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)最新文献

Malware Detection Based on Feature Library and Machine Learning 基于特征库和机器学习的恶意软件检测

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315607

Dongfang Hu, Bin Xu, Jun Wang, Linfeng Han, Jiayi Liu

引用次数: 1

Coordinated Frequency Control of Generation and Demand Side Considering Demand Side Resource Callback Characteristic 考虑需求侧资源回调特性的发电与需求侧频率协调控制

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315685

Zhenxing Li, Xin Shan, Zhixian Wang, Kun Yuan, Ying Wang, Kaifeng Zhang

引用次数: 0

A method for specific emitter identification based on surrounding-line bispectrum and convolutional neural network 基于环绕线双谱和卷积神经网络的特定发射极识别方法

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315592

Haoqin Ji, T. Wan, Wanan Xiong, Jingyi Liao

引用次数: 9

Sentiment Infomation based Model For Chinese text Sentiment Analysis 基于情感信息的中文文本情感分析模型

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315668

Gen Li, Qiusheng Zheng, Long Zhang, Suzhou Guo, Liyue Niu

{"title":"Sentiment Infomation based Model For Chinese text Sentiment Analysis","authors":"Gen Li, Qiusheng Zheng, Long Zhang, Suzhou Guo, Liyue Niu","doi":"10.1109/AUTEEE50969.2020.9315668","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315668","url":null,"abstract":"As an important task of natural language processing, chinese text sentiment analysis aims to analyze the comprehensive sentiment polarity of chinese text. With the emergence of various deep neural network models, sentiment analysis tasks have once again made significant progress. However, these neural network models could not accurately capture sentiment information on sentiment analysis tasks, which leads to their instability. In order to enable the model to explicitly learn the sentiment knowledge in chinese text, this paper proposes a sentiment information based network model(SINM). We use Transfomer encoder and LSTM as model components. With the help of Chinese emotional dictionary, we can automatically find sentiment knowledge in chinese text. In SINM, we designed a hybrid task learning method to learn valuable emotional expressions and predict sentiment tendencies. First of all, SINM needs to learn the sentiment knowledge in the text. Under the auxiliary influence of emotional information, SINM will pay more attention to sentiment information rather than useless information. Experiments on the dataset of ChnSentiCorp and ChnFoodReviews have found that SINM can achieve better performance and generalization ability than most existing methods.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"34 1","pages":"366-371"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79764894","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: 19

The Holographic Management System Based on KKS Code and 3D Digital Model for Equipment in Smart Hydropower Stations 基于KKS代码和三维数字模型的智能水电站设备全息管理系统

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315669

Yuechao Wu, Liwei Liu, Yuanlin Luo, Bo Zheng, Zhenqiu Feng, Dongdong Zhang, Xinyu Wang

引用次数: 2

Traffic Flow Prediction Based on Stack AutoEncoder and Long Short-Term Memory Network 基于堆栈自编码器和长短期记忆网络的交通流预测

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315723

Yin Tian, Chenchen Wei, Dongwei Xu

引用次数: 3

Health Management Control Strategy of Tank Storage Based on Artificial Intelligence 基于人工智能的储罐健康管理控制策略

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315690

S. Lv, Haizheng Zhang, Feihu Bao

引用次数: 0

An IO device recompose algorithm supporting virtual machine migration on multiple hosts 支持多主机虚拟机迁移的IO设备重组算法

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315698

Jinyong Yin, Jian Yang, Hongbin Yang

引用次数: 0

A Shilling Attack Model Based on TextCNN 基于TextCNN的先令攻击模型

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315588

Dongfang Hu, Bin Xu, Jun Wang, Linfeng Han, Jiayi Liu

{"title":"A Shilling Attack Model Based on TextCNN","authors":"Dongfang Hu, Bin Xu, Jun Wang, Linfeng Han, Jiayi Liu","doi":"10.1109/AUTEEE50969.2020.9315588","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315588","url":null,"abstract":"With the development of the Internet, the amount of information on the Internet is increasing rapidly, which makes it difficult for people to select the information they really want. A recommendation system is an effective way to solve this problem. Fake users can be injected by criminals to attack the recommendation system; therefore, accurate identification of fake users is a necessary feature of the recommendation system. Existing fake user detection algorithms focus on designing recognition methods for different types of attacks and have limited detection capabilities against unknown or hybrid attacks. The use of deep learning models can automate the extraction of false user scoring features, but neural network models are not applicable to discrete user scoring data. In this paper, random walking is used to rearrange the otherwise discrete user rating data into a rating feature matrix with spatial continuity. The rating data and the text data have some similarity in the distribution mode. By effective analogy, the TextCNN model originally used in NLP domain can be improved and applied to the classification task of rating feature matrix. Combining the ideas of random walking and word vector processing, this paper proposes a TextCNN detection model for user rating data. To verify the validity of the proposed model, the model is tested on MoiveLens dataset against 7 different attack detection algorithms, and exhibits better performance when compared with 4 attack detection algorithms. Especially for the Aop attack, the proposed model has nearly 100% detection performance with F1 – value as the evaluation index.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"42 1","pages":"282-289"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89927083","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

An Improved ORB Algorithm Based on Optimized Feature Point Extraction 基于优化特征点提取的改进ORB算法

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315683

Haoyang Sun, Peng Wang, Dong Zhang, Cui Ni, Hongbo Zhang

引用次数: 4