发布求助
文献互助 智能选刊 最新文献

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)最新文献

筛选
英文 中文
Tumor Classification using MS Spectra Based on Deep Learning 基于深度学习的质谱肿瘤分类
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00106
Hao Dong, K. Shu
{"title":"Tumor Classification using MS Spectra Based on Deep Learning","authors":"Hao Dong, K. Shu","doi":"10.1109/AEMCSE50948.2020.00106","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00106","url":null,"abstract":"Deep learning models plays a significant role in bioinformatics research, such as prediction of incidence, classification of disease samples, identification and detection of tumor areas. Mass spectrometry (MS) has been widely applied to protein research due to its high throughput and sensitivity. Tumor protein mass spectrometry data has high sample dimensions and low signal-to-noise ratio, which is difficult to extract features for classification. Here, we aim to develop a new method to extract features from tumor protein mass spectrometry data and classify proteomics data using deep learning models. Our results demonstrated that the deep learning models we proposed has a good performance and may provide ideas for researchers to classify other protein mass spectral data or similar data.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116400474","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
Failure Mechanism and Simulation of Gate Wrong Turn-on for IGBT in the Off State IGBT关断状态下栅极错误导通失效机理及仿真
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00167
Yong Tang, Bo Wang, Yonghong Chen
{"title":"Failure Mechanism and Simulation of Gate Wrong Turn-on for IGBT in the Off State","authors":"Yong Tang, Bo Wang, Yonghong Chen","doi":"10.1109/AEMCSE50948.2020.00167","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00167","url":null,"abstract":"When IGBT in the off state is subjected to certain voltage changes, internal junction capacitor charging will generate displacement current, which will cause gate voltage to rise and even exceed threshold voltage value, leading to wrong turn-on of IGBT. In serious cases, it will cause short circuit and cause device failure. Based on the existing Hefner model of IGBT, the failure mechanism of IGBT is studied and the formula is deduced from semiconductor physics. the expression of displacement current is obtained, and the displacement current caused by the change of capacitance itself is added. Finally, the correctness of the analysis is verified by simulation.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127923670","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 Direction of Electric Air Compressor for Vehicle 车用电动空压机的发展方向
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/aemcse50948.2020.00158
Shimiao Zhang, Ting Zhang, WanSong Chen, Haojie Ji
{"title":"The Development Direction of Electric Air Compressor for Vehicle","authors":"Shimiao Zhang, Ting Zhang, WanSong Chen, Haojie Ji","doi":"10.1109/aemcse50948.2020.00158","DOIUrl":"https://doi.org/10.1109/aemcse50948.2020.00158","url":null,"abstract":"In recent years, with the steady development of pure electric passenger cars, the electric air compressor for vehicle(hereinafter referred to as the the electric air compressor) is constantly being replaced. At the same time, due to the principle of survival of the fittest in the market, the manufacturers of electric air compressors are actively seeking development direction. Combining with the market application of electric air compressor, this paper briefly discusses the development direction of electric air compressor.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116991656","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
Application of t-Distribution Stochastic Neighbor Embedding (t-SNE) And VMD In Fault Feature Extraction t分布随机邻居嵌入(t-SNE)和VMD在故障特征提取中的应用
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00171
Jing Du, Q. Tong
{"title":"Application of t-Distribution Stochastic Neighbor Embedding (t-SNE) And VMD In Fault Feature Extraction","authors":"Jing Du, Q. Tong","doi":"10.1109/AEMCSE50948.2020.00171","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00171","url":null,"abstract":"The running state of the rolling bearing directly affects the overall mechanical performance. Fault detection has become an important research content at the present stage. Based on the need of extracting the eigenvalues of the early weak fault information, this paper proposes a method of constructing high-dimensional feature data based on phase space reconstruction and denoising data by, the signal after the noise of Variational Mode Decomposition (VMD), after noise reduction, the signal is decomposed by VMD, and the method of selecting and reconstructing the modal component with kurtosis and envelope entropy as the comprehensive evaluation index is proposed. The reconstruction component of the optimal modal component is obtained, and then the envelope spectrum analysis of the optimal modal component is carried out to extract the fault characteristic frequency. The effectiveness of this method is verified by analyzing the fault signal of rolling bearing.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128199721","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 Commutation Control Method Based on Winding Current of Drive Motor 基于绕组电流的驱动电机换相控制方法研究
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00180
Kejian Shi, Feiming Wang, Zikuo Dai, Bin Zhang, Zhenyang Zhao, Yanqiang Du
{"title":"Research on Commutation Control Method Based on Winding Current of Drive Motor","authors":"Kejian Shi, Feiming Wang, Zikuo Dai, Bin Zhang, Zhenyang Zhao, Yanqiang Du","doi":"10.1109/AEMCSE50948.2020.00180","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00180","url":null,"abstract":"In order to improve the opening and closing operation performance and intelligent level of vacuum circuit breaker, a commutation control mode based on the winding current of motor actuator is proposed. According to the equivalent mathematical model of permanent magnet BLDCM, the corresponding relationship between back EMF and rotor speed is obtained by spline interpolation method. The rotor position is calculated by combining the winding current value and trapezoid quadrature method, and the winding current is detected in real time. The commutation time is calculated by DSP, and the phase change operation is controlled. The on-line test results of the motor actuator of the vacuum circuit breaker show that the method can realize the commutation operation of the drive motor. The angle error between the commutation position of the motor and the commutation position of the hall disk is less than 1°. The influence of the commutation error on the operation time of the circuit breaker is less than 1ms, which meets the requirements of the operation characteristics of the circuit breaker.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134113075","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
Coordinated Control Method of MMC-MTDC Based on Power Addition 基于功率附加的MMC-MTDC协调控制方法
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00162
Zheng Sun, Bin Wang, Wanwan Xu
{"title":"Coordinated Control Method of MMC-MTDC Based on Power Addition","authors":"Zheng Sun, Bin Wang, Wanwan Xu","doi":"10.1109/AEMCSE50948.2020.00162","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00162","url":null,"abstract":"Maintaining DC voltage stabilization is one of the key technologies to achieve stable operation of a multi-terminal flexible DC power transmission (VSC-MTDC) system. Aiming at the characteristic of slow DC voltage adjustment of VSC-MTDC under single-point voltage control, this paper analyzes the mechanism of DC voltage change due to power change, and design control links to offset the effect of power change, and proposes a voltage outer loop improved coordinated control strategy for multi-terminal converter stations. Compared with the traditional single-point voltage control, this strategy not only reduces the fluctuation of the DC voltage of VSC-MTDC system, but also improves the adjustment speed of the DC voltage and active power. Finally, a multi-terminal high-voltage direct current transmission (MMC-MTDC) system model based on modular multilevel converters was built in PSCAD / EMTDC. The traditional control strategy and improved control strategy were compared under different working conditions. The comparative experimental results show the effectiveness of the proposed control strategy.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134295937","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
Evaluation Model of Barrier Breaking Scheme Based on Intuitionistic Fuzzy Set and TOPSIS Method 基于直觉模糊集和TOPSIS法的破障方案评价模型
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00031
Chengxiang Tian, Jiangang Tu, N. Zhang
{"title":"Evaluation Model of Barrier Breaking Scheme Based on Intuitionistic Fuzzy Set and TOPSIS Method","authors":"Chengxiang Tian, Jiangang Tu, N. Zhang","doi":"10.1109/AEMCSE50948.2020.00031","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00031","url":null,"abstract":"Barrier breaking scheme has a direct influence on barrier breaking effect and operational processes. However, the formulation of such scheme is limited by multiple factors, and it is difficult to assess the quality of the scheme. To solve this issue, based on the analyses of influencing factors over the barrier breaking action of Barrier Breaking Detachment, an evaluation index system for barrier breaking schemes is established from four perspectives of barrier breaking method, barrier breaking equipment, barrier breaking personnel and barrier breaking explosive. The evaluation method for barrier breaking schemes is also explored, and a barrier breaking scheme evaluation model based on intuitionistic fuzzy set and TOPSIS is built. Finally, with a barrier breaking task implemented by Barrier Breaking Detachment during a military drill as an example, the candidate schemes are evaluated based on training data, and the effectiveness of the model is validated.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133009271","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
Prediction of Edible-Oil Acid Values and Identification of Oil Species Based on Near Infrared Spectroscopy 基于近红外光谱的食用油酸值预测及油种鉴定
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00049
Xingxing Yang, Zhu Hu, Qingsong Luo, Qiang Xu, Xiao Zheng
{"title":"Prediction of Edible-Oil Acid Values and Identification of Oil Species Based on Near Infrared Spectroscopy","authors":"Xingxing Yang, Zhu Hu, Qingsong Luo, Qiang Xu, Xiao Zheng","doi":"10.1109/AEMCSE50948.2020.00049","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00049","url":null,"abstract":"Quantitative prediction of acid value and qualitative identification of edible oils were studied on the basis of near infrared spectroscopy. Four preprocessing methods including multivariate scattering correction (MSC), combination of standard normal variate and de-trend (SNV-DT), moving average smoothing (MAS), and Savitzky-Golay (SG) were used. Successive projection algorithm (SPA), interval partial least squares (iPLS), combination of competitive adaptive reweighted sampling algorithm and partial least squares method (CARS-PLS) were applied in the extraction of characteristic wavelengths. Particle swarm optimization (PSO) and genetic algorithm (GA) were used to establish a variety of support vector machine (SVR) models for the quantitative prediction of acid values. According to the prediction results of these models, the optimal technique was selected.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133016811","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
DCBGCN: An Algorithm with High Memory and Computational Efficiency for Training Deep Graph Convolutional Network DCBGCN:一种具有高内存和计算效率的深度图卷积网络训练算法
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00011
Weile Liu, Zhihao Tang, Lei Wang, Min Li
{"title":"DCBGCN: An Algorithm with High Memory and Computational Efficiency for Training Deep Graph Convolutional Network","authors":"Weile Liu, Zhihao Tang, Lei Wang, Min Li","doi":"10.1109/AEMCSE50948.2020.00011","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00011","url":null,"abstract":"Graph convolutional network (GCN) has recently become a popular major focus of network representation learning (NRL). However, training a deep GCN is still quite challenging. Stacking more layers in GCN suffers vanishing gradients and GPU memory limitation and significant computational overhead. Vanishing gradients causes over-smoothing, which leads to node embedding converging to the same value. Node dependence leads to requirement to keep all the embedding in GPU memory. Neighbourhood expansion problem across GCN layers leads to significant computational overhead. In order to solve these issues, we present a model named DCBGCN (Deep and Cluster Boosting Graph Convolutional Network), which firstly uses MEITS to partition the whole graph into sub-graphs, then secondly adapts residual/dense connections between GCN layers. Extensive experiment results on PPI and Reddit tell the truth that our model can go deep with 56-layer GCN and has strong advantages in improving memory and computational efficiency. Meanwhile, we achieve promising test F1 score results on PPI and Reddit.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"21 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133356028","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
Online Configuration of Personalized Solutions Based on Extension Reasoning 基于可拓推理的个性化解决方案在线配置
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00019
Qine Zhang, Jinhui Zhao
{"title":"Online Configuration of Personalized Solutions Based on Extension Reasoning","authors":"Qine Zhang, Jinhui Zhao","doi":"10.1109/AEMCSE50948.2020.00019","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00019","url":null,"abstract":"Online customization is becoming an important business model in manufacturing industry, and the configuration of online personalized demand has become an urgent problem to be solved in this new business model. This paper proposes a matching customization method based on extension reasoning. First, we use extension description to describe and organize the case knowledge, and build a relatively complete knowledge base of \"modules\" and \"components\". Then, the implementation process of online configuration of personalized customization scheme based on extension reasoning is analyzed in detail. In view of the shortcomings that the calculation method of similarity in the past is difficult to meet the requirements of actual engineering design and assembly, a similarity function for matching degree calculation is studied and constructed in depth.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133347440","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：481959085
Book学术官方微信