2022 4th International Conference on Intelligent Information Processing (IIP)最新文献_第3页

Graph Attention Network Fraud Detection Based On Feature Aggregation 基于特征聚合的图关注网络欺诈检测

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00063

T. Zhang, Senyu Gao

引用次数: 0

Research on MPTCP Protocol Based on Erasure Codes 基于Erasure码的MPTCP协议研究

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00064

Yang Song, Yaqi Yuan, Yubin Chen

引用次数: 0

IOT Application-Intelligent Tracking Car SPRESENSE-Base 物联网应用——基于智能跟踪的汽车

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00080

Xiaona Kang, Xiqiao Kang, Shaozhen Wang, Jiguo Chai, S. Shen, Mingju Mao

引用次数: 0

Design and development of High voltage power and vacuum system for proton transfer reaction mass spectrometry 质子转移反应质谱法高压电源真空系统的设计与研制

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/IIP57348.2022.00035

Min Ren, Ji-Wen Chen, Ming Li

引用次数: 0

A Siamese Network Fusion Time-Frequency Domain Features for Mental Workload Level Identification 一种融合时频域特征的暹罗网络心理工作负荷水平识别

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00007

Jiaqing Yan, Danyun Li, Jinzhao Deng, Hongya Wang, Zhou Long, Wenhao Sun, Weiqi Xue, Qingqi Zhou, Gengchen Liu

{"title":"A Siamese Network Fusion Time-Frequency Domain Features for Mental Workload Level Identification","authors":"Jiaqing Yan, Danyun Li, Jinzhao Deng, Hongya Wang, Zhou Long, Wenhao Sun, Weiqi Xue, Qingqi Zhou, Gengchen Liu","doi":"10.1109/iip57348.2022.00007","DOIUrl":"https://doi.org/10.1109/iip57348.2022.00007","url":null,"abstract":"Mental workload level can reflect subjects’ personal ability. In addition, continuous high level of mental workload can reduce subjects’ performance level, so it is necessary to detect subjects’ mental workload level in the time. In this paper, we propose a CNN model for time-frequency analysis based on Siamese networks (Siamese-EEGNet), in which the original Electroencephalogram (EEG) signal and the Power Spectral Density (PSD) of the signal are used as model inputs, and the features of the signal are extracted layer by layer through convolutional layers. Using P3 as a measure, the model is pretrained on a large volume data set using transfer learning, and successfully transfer to a smaller volume data set with mental workload level by fine-tuning the model parameters. SiameseEEGNet is able to consider both time domain and frequency domain information in the data, which is suitable for EEG structure characteristics. In practical completion, it can detect the mental workload level of subjects, measure their individual ability and improve their performance level.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122694141","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

Harmonic and Interharmonic Detection and Analysis of Neural Network Power System Based on Big Data 基于大数据的神经网络电力系统谐波及间谐波检测与分析

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00065

Weixin Livi, Xia Pan, Xiaolei Zhang, Bingde Duan

{"title":"Harmonic and Interharmonic Detection and Analysis of Neural Network Power System Based on Big Data","authors":"Weixin Livi, Xia Pan, Xiaolei Zhang, Bingde Duan","doi":"10.1109/iip57348.2022.00065","DOIUrl":"https://doi.org/10.1109/iip57348.2022.00065","url":null,"abstract":"Aiming at the low measurement accuracy and poor time lag of traditional power system harmonic and interharmonic detection methods, a new power harmonic detection method is proposed, namely, the neural network power system harmonic detection analysis based on big data. It combines wavelet transform with artificial neural network, uses wavelet transform to extract the characteristic components in the signal. And then separates and extracts the different frequency band signals, and then uses the corresponding artificial neural network to analyze and identify the extracted frequency band signals to obtain each Harmonic type, amplitude and phase parameters in the hierarchy. The final simulation experiment shows that this research proposes to combine wavelet transform with artificial neural network to give full play to the time and frequency locality advantages of wavelet transform, as well as the advantages of artificial neural network self-adaptability and model maximum value advantages, which are effective for periodic changes and interference in electric power. It has strong tracking performance and recognition ability, which further shows that the power harmonic detection method proposed in this study is feasible and effective.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125217131","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

Object detection algorithm based on fusion of spatial information 基于空间信息融合的目标检测算法

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00060

Youbing Hu

引用次数: 0

Study on the named entity recognition method implementation for food safety 食品安全命名实体识别方法实现研究

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00011

Qi Wang, Yuntao Shi, J. Li, Shuqin Li, Meng Zhou

{"title":"Study on the named entity recognition method implementation for food safety","authors":"Qi Wang, Yuntao Shi, J. Li, Shuqin Li, Meng Zhou","doi":"10.1109/iip57348.2022.00011","DOIUrl":"https://doi.org/10.1109/iip57348.2022.00011","url":null,"abstract":"In order to improve the relevance and efficiency of food safety supervision, a food safety knowledge database and a named entity recognition (NER) model that can extract food safety entities such as poison, disease, and symptom has been constructed. First, the key content of ‘‘Food Safety Accident Determination and Prevention Control’’ was identified, and 8265 valid statements were obtained. It then used data cleaning and sequence marking to obtain the dataset, dividing the dataset into training, validation and test sets in the ratio of 8:1:1. The Chinese food-safety domain NER model was constructed by introducing a bidirectional encoder representation from transformers (BERT) as a vector embedding model based on a bi-directional long short-term memory (BiLSTM) combined with a conditional random field (CRF). The BERT-BiLSTM-CRF model achieved 96.96% accuracy, 83.87% precision, 87.14% recall and an F1 value of 85.48, with low model error and high accuracy, and successfully extracted eight types of entities: poison, disease, host, category, source, symptom, disinfection method and drug. The NER model for food safety based on the BERT-BiLSTM-CRF has high accuracy and can establish an exclusive knowledge base for food safety, which helps improve food safety supervision efficiency.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131584762","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

Multi-subject information interaction and one-way hash chain authentication method for V2G application in Internet of Vehicles 车联网中V2G应用的多主体信息交互及单向哈希链认证方法

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/iip57348.2022.00034

Jian Zhang, Lei Li, Weidong Liu, Xiaohui Li

引用次数: 0

A Secure Access Algorithm of Terminal Equipment based on Cryptography and Blockchain Applied in New Type of Power System 基于密码学和区块链的终端设备安全访问算法在新型电力系统中的应用

2022 4th International Conference on Intelligent Information Processing (IIP) Pub Date : 2022-10-01 DOI: 10.1109/IIP57348.2022.00052

Zhiwen Yu, Shiming Li, Wenjie Zheng, Ruifeng Zhao, Aibeiduo Li

{"title":"A Secure Access Algorithm of Terminal Equipment based on Cryptography and Blockchain Applied in New Type of Power System","authors":"Zhiwen Yu, Shiming Li, Wenjie Zheng, Ruifeng Zhao, Aibeiduo Li","doi":"10.1109/IIP57348.2022.00052","DOIUrl":"https://doi.org/10.1109/IIP57348.2022.00052","url":null,"abstract":"The new type of power system needs a large number of distributed power sources. Power electronic devices and flexible loads are connected to the power grid. The security and reliability of equipment access directly affect the stable operation of the power system. The traditional centralized device access management mode is no longer applicable, because the terminal devices are diverse and widely distributed, and the applications of each terminal are complex, so the authentication and access efficiency based on centralized device access management is limited. Therefore, it is urgent to study the distributed identity authentication and trusted access technology of devices. In order to solve the problems of poor compatibility and weak anti attack ability of centralized access management in the process of device identity authentication, this paper proposes a distributed terminal device identity authentication method based on cryptography and blockchain, and designs the detailed process of certificate issuance and identity authentication. Finally, the proposed mechanism is tested, and the results show that the proposed distributed authentication mechanism can resist a variety of malicious attacks, and has certain advantages in computing and storage costs.","PeriodicalId":412907,"journal":{"name":"2022 4th International Conference on Intelligent Information Processing (IIP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123129005","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