发布求助
文献互助 智能选刊 最新文献

2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献

筛选
英文 中文
Effects of Friction Coefficient on Structure and Sealed Integrity of Expandable Casing Joint with Metal-to-metal Seal 摩擦系数对金属对金属密封膨胀套管接头结构和密封完整性的影响
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408891
Jian-Bo Zhang, Haobo Wang, Hua Liu, Chu Luo, Yinping Cao, Qian Wang
{"title":"Effects of Friction Coefficient on Structure and Sealed Integrity of Expandable Casing Joint with Metal-to-metal Seal","authors":"Jian-Bo Zhang, Haobo Wang, Hua Liu, Chu Luo, Yinping Cao, Qian Wang","doi":"10.1109/ICSP51882.2021.9408891","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408891","url":null,"abstract":"During the expansion process, the structure and sealed integrity of a new type expandable casing joint with metal sealing were explored by the finite element explicit dynamic analysis method, the nonlinear analysis is used in the expansion process of metal sealing joint of expansion casing under different friction coefficients between expansion cone and inner wall of expansion casing, while the key technical parameters such as effective stress, residual stress and contact force on the sealing surface of the expandable casing joint were obtained. When the expansion process is over, the V on Mises peak stress and residual stress increase with the rise of the friction coefficient. In order to maintain the structural integrity of the joint, the friction coefficient should be controlled below 0.12. Stress is focused on the thread teeth in the expansion process, and the residual peak stress is concentrated at the root of internal thread after expansion. Increasing the friction coefficient moderately is beneficial to increase the contact force between sealing surfaces after expansion, and thus to improve the sealing performance of the joint. Considering the structure and sealed integrity of the joint, the friction coefficient should be controlled at about 0.1. The results of the paper research had reference value for the design of expandable casing joint with metal sealing structure.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123545944","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
Image Electronic Evidence Screening Based on Improved SSD 基于改进SSD的图像电子证据筛选
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408904
Yafei Liu, Liehui Jiang, Tieming Liu, Youwei Zhang
{"title":"Image Electronic Evidence Screening Based on Improved SSD","authors":"Yafei Liu, Liehui Jiang, Tieming Liu, Youwei Zhang","doi":"10.1109/ICSP51882.2021.9408904","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408904","url":null,"abstract":"With the development of information technology, electronic evidence plays an increasingly important role in the judicial trial. In Judicial Forensics, it is difficult to extract effective electronic evidence accurately and quickly from a large number of electronic data. Traditional means generally take artificial identification to collect, which takes a long time and is not efficient. Using SSD target detection and recognition algorithm instead of traditional means can effectively reduce the time of screening evidence, but the basic SSD neural network is prone to miss detection for small targets. To solve the above problems, an improved SSD-based image electronic evidence screening method is proposed. This method optimizes the SSD neural network adaptively, introduces the attention mechanism module in the shallow convolution layer of the network to improve the representation ability of the feature map, and fuses the image features obtained from different convolution layers with multi-scale features to increase the shallow feature information. The experimental data are used to test the improved algorithm and analyze the experimental results. It is found that compared with the original SSD neural network algorithm, the detection mean average precision of the improved algorithm is increased by 4.7%, reaching 84.3%, which shows the feasibility and effectiveness of the improved algorithm.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"37 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125878028","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
Trading Decision Making Based on Hybrid Neural Network 基于混合神经网络的交易决策
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408683
Haotian Wu
{"title":"Trading Decision Making Based on Hybrid Neural Network","authors":"Haotian Wu","doi":"10.1109/ICSP51882.2021.9408683","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408683","url":null,"abstract":"Now, with the dominance of electronic stock trading, it is possible to find and make profit from the price difference in real time. Machine learning has been applied in stock trading for years by companies. Yet as the rising of deep learning, price forecasting models become more accurate, which create more opportunities to gain higher profits. In this work, a novel hybrid neural network is proposed to deal with the stock trading decision making challenge. After properly training with labeled stock trading data, the hybrid neural network model proposed in this paper has been proved to be able to assist stock trading decisions better and achieve higher profits. The proposed hybrid neural network is evaluated on the stock trading data of Jane Street data set provided by the Kaggle competition. It is shown in the experiments that the proposed hybrid neural network outperforms other neural networks. Our neural network achieves as high profit value as 11417, which reveals the efficiency of the proposed method.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124737376","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 of Oil Pumping Decision Model Based on Radial Basis Function Neural Network 基于径向基函数神经网络的采油决策模型优化
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408838
Xinai Song, H. Wei
{"title":"Optimization of Oil Pumping Decision Model Based on Radial Basis Function Neural Network","authors":"Xinai Song, H. Wei","doi":"10.1109/ICSP51882.2021.9408838","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408838","url":null,"abstract":"Aiming at the problems of low production of single oil well, high energy consumption and production cost of pumping units in ultra-low permeability oilfields, the oil pumping decision model based on RBF neural network was studied to optimize the current intermittent pumping system in oil fields. In paper, the influencing factors of the pumping decision model of the pumping unit were analyzed firstly. Then a three-layer RBF neural network was created, and a dynamic adjustment algorithm for node center of network hidden layer was proposed, and a weight adaptive training algorithm was studied, in which the output error was satisfied through multiple iteration. Finally, the model simulation experiment was carried in Matlab, predicting the motor speed, threshold speed and stop time. With 3000 training samples, when the error was set to 0.0001, the RBF neural network achieved convergence after learning for 300 times. Compared with the network output when the error was set at 0.005, the predicted values of motor speed, threshold motor speed and stop time are closer to the actual values when 100 samples were tested. The simulation results has showed that it is reasonable and feasible to optimize oil pumping decision model of the pumping unit through RBF neural network.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128203112","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
Analysis of the Interception Ability of Electronic Reconnaissance Satellite on Ground-based Radars 电子侦察卫星对地基雷达的拦截能力分析
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408736
Qin Junwei, Lei Mengda, Shen Nan
{"title":"Analysis of the Interception Ability of Electronic Reconnaissance Satellite on Ground-based Radars","authors":"Qin Junwei, Lei Mengda, Shen Nan","doi":"10.1109/ICSP51882.2021.9408736","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408736","url":null,"abstract":"After the detailed analysis of the application of electronic reconnaissance satellite in peacetime and wartime, this paper puts forward the effectiveness index and calculation model (reconnaissance minimum power) of the interception ability of electronic reconnaissance satellite on ground-based radars, considering if radiation signals of ground-based radars can be effectively intercepted by electronic reconnaissance satellite. Furthermore, this paper sets the typical tactical scenario in which HEO, LEO electronic reconnaissance satellites implement surveillance on ground-based warning radars and guided radars, and then quantitatively calculates the reconnaissance minimum power of two kinds of electronic reconnaissance satellites on typical ground-based radars operating in different power gears. The analysis of examples show that the effectiveness index and calculation model is reasonable and effective, providing a better tool for ground-based radars’ quantitative analysis on the space-based electronic reconnaissance threats.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128292475","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
Denoising of ECG Signals Based on CEEMDAN 基于CEEMDAN的心电信号去噪
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408721
Yazhi Zhao, Jia Xu
{"title":"Denoising of ECG Signals Based on CEEMDAN","authors":"Yazhi Zhao, Jia Xu","doi":"10.1109/ICSP51882.2021.9408721","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408721","url":null,"abstract":"Heart disease is one of the major diseases of human health, and ECG can reflect the health condition of the heart to a certain extent. In order to reduce the noise in ECG signals, this paper proposes a CEEMDAN based, i.e., adaptive noise complete empirical mode decomposition and state machine logic method to extract feature waveforms from ECG signals. First, the noise-containing ECG signal is CEEMDAN decomposed to obtain 10 IMF components and one residual component, and the low-frequency IMF component, i.e., the baseline drift signal, is determined using the over-zero rate, which is removed to reconstruct the signal. Next, high frequency noise is eliminated by first separating the QRS wave groups by the windowing method, determining the number of IMFs at high frequencies using the statistical test method, filtering them out, and reconstructing the signal to obtain a clean signal with the noise removed. The results of this experiment prove that this method is more effective than the original EMD and EEMD methods for removing ECG noise.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127086072","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: 4
Adaptive spatial regularization for sequential unmixing of hyperspectral images 高光谱图像序列解混的自适应空间正则化
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408749
Xiao Hong, Liu Hui
{"title":"Adaptive spatial regularization for sequential unmixing of hyperspectral images","authors":"Xiao Hong, Liu Hui","doi":"10.1109/ICSP51882.2021.9408749","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408749","url":null,"abstract":"Hyperspectral unmixing is one of the most important tasks in hyperspectral data processing. This work aims to analyze material components coexsiting in low spatial resolution pixels. It is important to integrate both spectral and spatial information to enhance the unmxing performance. Considering that the hyperspectral pixels are usually captured in a sequential manner, an adaptive processing framework is proposed in this paper to efficiently address the unmixing problem with the 11-norm and 12-norm spatial regularization in an online manner. Experiments validated the effectiveness of the proposed methods.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130758081","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 Scalable Group Testing of Invalid Signatures based on Latin Square in Wireless Sensors Networks 基于拉丁方的无线传感器网络中无效签名的可扩展群测试
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408780
Hong Wang, Xiangyang Liu, Yunhong Xie, Han Zeng
{"title":"The Scalable Group Testing of Invalid Signatures based on Latin Square in Wireless Sensors Networks","authors":"Hong Wang, Xiangyang Liu, Yunhong Xie, Han Zeng","doi":"10.1109/ICSP51882.2021.9408780","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408780","url":null,"abstract":"Digital signature is more appropriate for message security in Wireless Sensors Networks (WSNs), which is energy-limited, than costly encryption. However, it meets with difficulty of verification when a large amount of message-signature pairs swarm into the central node in WSNs. In this paper, a scalable group testing algorithm based on Latin square (SGTLS) is proposed, which focus on both batch verification of signatures and invalid signature identification. To address the problem of long time-delay during individual verification, we adapt aggregate signature for batch verification so as to judge whether there are any invalid signatures among the collection of signatures once. In particular, when batch verification fails, an invalid signature identification algorithm is presented based on scalable OR-checking matrix of Latin square, which can adjust the number of group testing by itself with the variation of invalid signatures. Comprehensive analyses show that SGTLS has more advantages, such as scalability, suitability for parallel computing and flexible design (Latin square is popular), than other algorithm.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132422632","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 Community Consumer Behavior Based on Association Rules Analysis 基于关联规则分析的社区消费者行为研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408917
Yingzhuo Xu, Xuewen Wang
{"title":"Research on Community Consumer Behavior Based on Association Rules Analysis","authors":"Yingzhuo Xu, Xuewen Wang","doi":"10.1109/ICSP51882.2021.9408917","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408917","url":null,"abstract":"In order to analyze the inner needs and purchase behavior of consumers and increase the sales of goods, a community consumer behavior analysis method based on association rules is proposed. First, to solve the problems of the traditional Apriori algorithm, this article optimizes the data set and improves the efficiency of pruning, then uses the optimized Apriori algorithm to mine the consumer purchase records of the community supermarket to find out the correlation between multiple products, which calculating the consumer’s preference for goods and getting the corresponding association rules and marketing strategies. Finally, this research uses the shopping data of community supermarket retail to conduct experimental tests to consumer preferences. The results show that the optimized Apriori algorithm is more efficient and the correlation analysis result is more accurate.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130818558","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: 3
A novel data-driven fault diagnosis method based on VMD-RCMFE-DDMA-BASSVM model for rolling bearings 基于VMD-RCMFE-DDMA-BASSVM模型的滚动轴承数据驱动故障诊断方法
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408854
Zhenya Wang, Tang-mao Lin, L. Yao, Jun Zhang
{"title":"A novel data-driven fault diagnosis method based on VMD-RCMFE-DDMA-BASSVM model for rolling bearings","authors":"Zhenya Wang, Tang-mao Lin, L. Yao, Jun Zhang","doi":"10.1109/ICSP51882.2021.9408854","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408854","url":null,"abstract":"Condition monitoring and fault diagnosis of bearings play an important role in the safe operation of equipment and can reduce maintenance costs. In this paper, a novel data-driven bearing fault diagnosis model is developed. First, the variable modal decomposition method is applied for denoising and recombination to reduce noise interference. Next, the refined composite multi-scale fuzzy entropy is used to extract features from the recombined signal. After that, discriminant diffusion maps analysis is utilized to compress the high-dimensional features into the low-dimensional space and remove the interference of redundant features. Finally, the beetle antennae search support vector machine is adopted for fault classification. The proposed method is applied to the fault diagnosis of wind turbine bearings under various operating conditions, and the experimental results show that the proposed method can accurately and effectively identify various faults.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130843217","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
首页 上一页 下一页 尾页
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：604180095
Book学术官方微信