发布求助
文献互助 智能选刊 最新文献

2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)最新文献

筛选
英文 中文
Biometric data prediction based on deep learning and piezoelectric sensors 基于深度学习和压电传感器的生物特征数据预测
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498141
Zhuang Chen, Pan Wang, Xiutao Cui
{"title":"Biometric data prediction based on deep learning and piezoelectric sensors","authors":"Zhuang Chen, Pan Wang, Xiutao Cui","doi":"10.1109/ICAICA52286.2021.9498141","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498141","url":null,"abstract":"Biometric data prediction is an important research direction of portable sleep monitoring devices such as piezoelectric ceramics. The current sleep monitoring sensors have limited anti-interference ability and accuracy, which limits the accuracy of prediction results. In order to improve the accuracy of sign data measurement of piezoelectric sensors, this paper proposes a depth measurement method based on LSTM based on the analysis of existing prediction models. The experimental results are compared with other time series prediction models. The results show that the predicted value of the LSTM model is close to the real value, and the mean absolute error and root mean square error of the LSTM model are lower than those of RNN and ARIMA models, which verifies the prediction performance of the LSTM model and can provide effective sign data information for sleep monitoring equipment.rs, Footnotes, or Math in Paper Title or Abstract.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"131 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133353129","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
Deep Recommendation Based on Dual Attention Mechanism 基于双注意机制的深度推荐
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498244
Guangyao Li, Jinghua Zhu, Heran Xi
{"title":"Deep Recommendation Based on Dual Attention Mechanism","authors":"Guangyao Li, Jinghua Zhu, Heran Xi","doi":"10.1109/ICAICA52286.2021.9498244","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498244","url":null,"abstract":"The recommendation model is committed to filtering massive information and providing users with valuable information. Although the recommendation model based on matrix factorization is widely used, it does not perform well in the case of sparse data. Comments are based on the recommendation model and use comments to extract user preferences and item functions. Although it can alleviate the problem of data sparseness, the interaction between users and items is not a good performance. To this end, we propose a model that can consider the user’s personalized preferences Deep recommendations based on dual attention mechanisms (DRDA). The model is based on the user’s comment text, through the interaction of user comments and project comments, a deep neural network framework with attention factors is obtained to learn the user’s personalized representation. A large number of experiments on the Amazon data set and Yelp data set show that the performance of the DRDA model is better than the traditional baseline model. Further experiments show that the dual attention factor does make a huge contribution to the model.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133546288","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
Passenger Flow Statistics Algorithm of Scenic Spots Based on Multi-Target Tracking 基于多目标跟踪的景区客流统计算法
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9497977
Gui Xiangquan, Wang Ruipeng, Li Li
{"title":"Passenger Flow Statistics Algorithm of Scenic Spots Based on Multi-Target Tracking","authors":"Gui Xiangquan, Wang Ruipeng, Li Li","doi":"10.1109/ICAICA52286.2021.9497977","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9497977","url":null,"abstract":"According to the real-time and accuracy requirements of obtaining passenger flow by surveillance videos in scenic spot, a model based on deep learning is proposed. Aided by Yolov4 and Deep Sort, passenger flow is counted by detection and tracking tourists. Aiming at the real-time requirement, the model compression method is used to replace the backbone network of Yolov4 with lightweight network mobileNetv3 to improve the detection speed. For the accuracy of the model, a detection scale is used to Yolov4 for extracting shallow features and the features are concatenated with deep features. Furthermore, Soft-NMS is used to process the detection results. The purpose of these improvements is to solve the dense tourists and small target problems in the surveillance videos. Then Deep Sort tracks the tourists target and obtains passenger flow information in the scenic spot. Through the experiment of the model in the surveillance videos, it is verified that this model meets the real-time requirements and has high accuracy in passenger flow statistics.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132695645","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
Design a Markov Decision Process-Based Dynamic Deadband Threshold Strategy for Primary Frequency Response Control 基于马尔可夫决策过程的一次频响动态死带阈值控制策略设计
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498113
Liu Liu, Weidong Li, Kerui Wen
{"title":"Design a Markov Decision Process-Based Dynamic Deadband Threshold Strategy for Primary Frequency Response Control","authors":"Liu Liu, Weidong Li, Kerui Wen","doi":"10.1109/ICAICA52286.2021.9498113","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498113","url":null,"abstract":"Given that the static fixed deadband threshold strategy is difficult to coordinate the operational economy and security flexibly in primary frequency response control, then a dynamic deadband threshold strategy for primary frequency response control is proposed. Based on the aggregated system primary frequency response model, a Markov Decision Process (MDP) model is established with the sequential decision theory. Then, the value iteration algorithm is introduced to derive the dynamic deadband threshold strategy of primary frequency response control by solving the Bellman equation. Case studies are presented to verify the performance of the proposed strategy. It shows that the dynamic deadband threshold strategy is superior to the static fixed deadband threshold strategy on the aspects of economy and security. The research can provide further reference for finely management and control of primary frequency response.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114057010","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
Construction and application of Wenhua education cloud based on Huawei FusionSphere 基于华为FusionSphere的文华教育云的构建与应用
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498210
Junjie Zhou, W. Zou
{"title":"Construction and application of Wenhua education cloud based on Huawei FusionSphere","authors":"Junjie Zhou, W. Zou","doi":"10.1109/ICAICA52286.2021.9498210","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498210","url":null,"abstract":"Global education industry informatization wave with the maturing of the cloud computing force, the introduction of cloud computing is to promote the school education informatization transformation. Through the analysis of computer resources update is difficult and high cost, inconvenience unified management and maintenance, and low resource utilization, and the traditional information system itself cannot be Shared, low security, defects such as high energy consumption. To solve the above problems, FusionSphere, Huawei’s commercial version cloud platform based on open source OpenStack technology, is used to build the private cloud of Mandarin Education. Improve the utilization of traditional IT facilities through virtualization technology. The backup solution, eBackup, is designed to ensure the security and reliability of school information data and IT system. ServiceCenter and Operation Center technologies are used to realize the unified management, operation and maintenance of the cloud platform, which is convenient for unified management and maintenance. Customize the desktop cloud client to use the unified Office, deploy the \"One Teacher, One Excellent Class\" network teaching platform of Mandarin University, etc. The significance of the construction of Mandarin Education Cloud lies in solving the practical application problems of Mandarin Education Informatization.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116728651","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
Test Generation of Optical Logic Circuit Based on Binary Decision Diagram 基于二值决策图的光逻辑电路测试生成
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498243
Aijun Zhu, Lei Song, Junhao Niu, Cong Hu, Chuan-pei Xu, Zhi Li
{"title":"Test Generation of Optical Logic Circuit Based on Binary Decision Diagram","authors":"Aijun Zhu, Lei Song, Junhao Niu, Cong Hu, Chuan-pei Xu, Zhi Li","doi":"10.1109/ICAICA52286.2021.9498243","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498243","url":null,"abstract":"With the breakthrough of silicon optical devices, optical network on chip has become a research hotspot. Optical logic circuit is the key unit that constitutes computing node in optical network on chip. Microring resonators (MRRs) are the basic components in optical logic circuits. However, due to the sensitivity of MRR to process drift and temperature, it is extremely prone to be faulty. Therefore, how to detect the optical logic circuit fault caused by MRRs is the key problem to improve its reliability. Firstly, the Binary Decision Diagram (BDD) of the fault-free and faulty circuit are established respectively; and then the BDD of the corresponding faulty circuit is constructed. The test BDD is obtained by XOR operation and simplification of the above two BDDs. The experimental results show the effectiveness of the proposed test generation based on BDD.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114980419","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
The development and application of a new combined-distributed HVDC tester 新型组合式分布式高压直流测试仪的研制与应用
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498005
Jie Li, D. Tian, Xiaobing Ding, Jiang Yu, Xing-cui Li
{"title":"The development and application of a new combined-distributed HVDC tester","authors":"Jie Li, D. Tian, Xiaobing Ding, Jiang Yu, Xing-cui Li","doi":"10.1109/ICAICA52286.2021.9498005","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498005","url":null,"abstract":"In view of the present lack of debugging method for HVDC protection system, this paper proposes the method to a single device function test and the method to a distributed system test for HVDC protection system, and designs a new combined-distributed HVDC tester to realize the above two test methods. The HVDC tester includes management module, power amplifier module, I/O module and optical fiber Ethernet Module, fiber FT3 module, power supply module, and so on. Various modules include internal bus interface, general power supply interface, external fiber interface, and through the internal bus interface and general power supply interface, all modules are combined in a chassis to form a combined tester. Through the external fiber interface and general power supply interface, these modules can also form a distributed test system. The combined tester is convenient to carry, store and manage, mainly for the function and performance test of a single HVDC protection device, while the distributed tester is mainly used to fulfill the distributed system test on site. This flexible combination method not only reduces the cost and volume of tester, but also provides affluent interfaces and flexible application. Engineering practices show that the device fully meets the requirements of HVDC protection maintenance and operation on site.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"15 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133307112","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
Video quality assessment with deep architecture 基于深度架构的视频质量评估
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498155
Yunpeng Li, Feng Han, Yang Liu, Donghui Li
{"title":"Video quality assessment with deep architecture","authors":"Yunpeng Li, Feng Han, Yang Liu, Donghui Li","doi":"10.1109/ICAICA52286.2021.9498155","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498155","url":null,"abstract":"Abnormal video quality judgment is an important part of monitoring system maintenance. However, it is still challenging to accurately judge possible anomalies. A novel deep model here is proposed to improve exception detection by considering remote context information in the automatic encoder framework. Specifically, C3D and recurrent neural network (RNN) with long short term memory (LSTM) unit will be used to explore the specified features of video sequence and extract advanced spatiotemporal features. In addition, an automatic encoder is used to represent each video frame to explore the hidden details. In addition, high-frequency structure details in gradient images are explored by the dual stream scheme. Consequently, it enhances its performances. Compared with other advanced methods, the experimental results show the effectiveness of our model.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132389639","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
Time-Series Physiological Data Balancing for Regression 回归的时间序列生理数据平衡
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498128
Hiroki Yoshikawa, A. Uchiyama, T. Higashino
{"title":"Time-Series Physiological Data Balancing for Regression","authors":"Hiroki Yoshikawa, A. Uchiyama, T. Higashino","doi":"10.1109/ICAICA52286.2021.9498128","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498128","url":null,"abstract":"Many studies have shown the effectiveness of machine learning in estimating psychological or physiological states using physiological data as input. However, it is ethically and physically difficult to collect a large amount of data without bias in an uncontrolled environment. Specifically, the amount of data in rare cases is especially small compared to common data. Therefore, the distribution bias may cause overfitting in machine learning. In this paper, we propose a SMOTE-based method to alleviate the distribution bias by data augmentation in the regression problem using a dataset containing time-series physiological data. The effectiveness of the proposed method was confirmed for datasets of thermal sensation and core body temperature collected in uncontrolled environments. The results show that our method improves the performance of regression models for minor cases with a bit of decline in the mean average error.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116538130","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
Improved Modeling and Numerial Analysis of Supply Chain Finance Based on Matlab Simulation 基于Matlab仿真的供应链金融改进建模与数值分析
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2021-06-28 DOI: 10.1109/ICAICA52286.2021.9498067
Qun Chen, Qiqi Zhang
{"title":"Improved Modeling and Numerial Analysis of Supply Chain Finance Based on Matlab Simulation","authors":"Qun Chen, Qiqi Zhang","doi":"10.1109/ICAICA52286.2021.9498067","DOIUrl":"https://doi.org/10.1109/ICAICA52286.2021.9498067","url":null,"abstract":"Using numerical analysis method, we establish an improved model and to examine the optimal decisions of the supply chain finance with buyback risks. Our results show that buyback risks do not influence the profit of the budget constrained retailer and the whole profit of supply chain finance, but exert an impact on the profit distribution between the commercial bank and the manufacturer. Furthermore, we provide numerical results to shed light on managerial insights as well. At last, we show the effectiveness of the model through Matlab simulation.","PeriodicalId":121979,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122009396","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信