{"title":"Debonding Failure Mechanism of Composite Stiffened Plate Under Compression Load","authors":"Junchao Yang, Y. Chai, Qian Sun","doi":"10.1109/aemcse50948.2020.00131","DOIUrl":"https://doi.org/10.1109/aemcse50948.2020.00131","url":null,"abstract":"The progressive failure model of composite stiffeners was established by using the commercial finite element software ABAQUS. Puck criterion was used to determine the failure of composite materials, and the material properties were exponentially attenuated according to the failure mode. The secondary stress criterion and B-K criterion are used to determine the initial and final failure of the interface. Then, the compression failure process of composite stiffened plate was simulated, and the effectiveness of the model was verified by experiments. On this basis, the failure mechanism of debonding is analyzed. Debonding begins at the intersection of the flexural nodal line ( or anti-nodal line) and the free edge of the lower edge of the rib, and the inducing factor is torque (or transverse bending moment).","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"53 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":"124945137","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}
{"title":"Application of an Improved Discrete Spectrum Correction Method in Motor Fault Diagnosis","authors":"Jia-lin Wang, Xuanfang Yang","doi":"10.1109/AEMCSE50948.2020.00190","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00190","url":null,"abstract":"Spectrum analysis is an important method to detect the weak characteristic frequency component of motor fault signal. However, according to the complex frequency components in motor fault signals, discrete spectrum correction technology is needed to reduce the error of amplitude and phase obtained by spectrum analysis. Based on the analysis of the advantages and disadvantages of the existing algorithm, an improved spectrum correction method based on the phase difference method is proposed, and the simulation research is carried out to verify the accuracy of the algorithm. The research results show that the algorithm used in this paper has high accuracy.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"39 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":"124946532","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}
Yachen Wang, Jingfan Fan, Tao Han, Heng Li, Tianyu Fu, Hong Song, Jian Yang
{"title":"Continuous and Complete Vascular Centerline Detection via Multi-task Attention Fusion Network (MTAFN)","authors":"Yachen Wang, Jingfan Fan, Tao Han, Heng Li, Tianyu Fu, Hong Song, Jian Yang","doi":"10.1109/AEMCSE50948.2020.00032","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00032","url":null,"abstract":"Centerline extraction is significant in coronary reconstruction, lesion detection and surgery navigation. Current pixel-wise classification methods often produce in complete and disconnected vascular map due to the lack of constraint on vessel connectivity and biased centerline localization. In this work, we formulate the centerline extraction as a centerline-based distance transformation(CDT) regression problem, which shows larger central response than conventional boundarybased distance transformation(DT). To enlarge connectivity constraint, vessel direction learning task is appended to provide connectivity contextual information. Moreover, we establish a Multi-task Attention Fusion Network to jointly learn the proposed CDT and vessel direction representation. Notably, the proposed Attention Fusion module concatenates multitask information across different paths and boosts network to converge efficiently. Finally, centerline points correspond to local maximum on learned CDT map at perpendicular vessel direction, which can be easily identified with Non-Maximum Suppression(NMS) algorithm. Experimental results show that our method yields a promising performance on vessel centerline extraction.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"17 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":"125330383","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}
{"title":"System Design and Mathematical Analysis of Self-Adjusting Stable PLL","authors":"Yinding Cao","doi":"10.1109/AEMCSE50948.2020.00163","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00163","url":null,"abstract":"This paper proposes a self-adjusting stable phase-locked loop circuit. According to the change of the frequency division ratio, it can use the code generated by the encoder to control charge pump charge and discharge current. Then it can change the PLL loop phase margin and fix phase margin at the required range to ensure the stability of the phase-locked loop at the same time. It also can guarantee the speed of the phase-locked loop. Meanwhile the paper has carried on the system design and mathematical analysis about the self-adjusting stable phase-locked loop circuit.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"37 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":"125105405","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}
{"title":"The Effect of Charge Behavior on Lithium Battery SOH","authors":"Zhiyu Xu, Xiao Yan, Bixiong Huang, Ying Wang, Dong Dong, Zhongcai Liu","doi":"10.1109/AEMCSE50948.2020.00144","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00144","url":null,"abstract":"Lithium battery SOH (State of Health) is one of the performance indicators of power battery, and the factors affecting SOH have been difficult issues. There are two main research methods, one is based on the experimental conditions of SOH estimation, the other is based on vehicle data for online SOH estimation and evaluation. Based on the actual vehicle data of electric vehicles, this study describes charging behavior and battery SOH with parameters. Use current, charge depth, charge frequency to indicate charge behavior, charge capacity to characterize the battery SOH. To study the effect of charge behavior on battery SOH, the biggest influencing factors of battery SOH are determined. Finally, the K-Means clustering algorithm explores different charging behaviors, and the results show that the differences between different categories are obvious.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"70 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":"122680714","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}
{"title":"A Big Data Acquisition And Analysis Method for Student Behavior Based on Hybrid Positioning","authors":"Xiong Li, Shuna Yan, Yiming Sao","doi":"10.1109/AEMCSE50948.2020.00128","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00128","url":null,"abstract":"This topic is based on the hybrid positioning technology of Internet of Things wifi and satellite, researching the methods of big data collection, analysis and processing for students' behaviors in colleges and universities, and then using the classification statistics and logical reasoning to carry out artificial intelligence refining and pushing. The aim is to explore an accurate and real-time campus behavioral data system that is accessible to students, parents, and education management at all levels.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"67 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":"122829738","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}
Sinan Li, Jingzhen Li, A. Kandwal, Tobore Igbe, Yuhang Liu, Ze-dong Nie
{"title":"Study on Simulation and Experiment of Multi-node Human Body Communication","authors":"Sinan Li, Jingzhen Li, A. Kandwal, Tobore Igbe, Yuhang Liu, Ze-dong Nie","doi":"10.1109/AEMCSE50948.2020.00103","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00103","url":null,"abstract":"As a promising technology for body sensor networks, human body communication uses the human body as a transmission medium. To explore the propagation characteristics of multi-node human body communication, a non-uniform medium human body model is employed in this study to simulate the multi-node human communication channel at different distances based on finite difference time domain (FDTD) method. And the results demonstrate that the communication loss of multi-node human body will increase as the transmission distance goes longer. In-vivo experiments were carried out on the simulation models as well. The normalized received power was analyzed by using the maximum likelihood estimation (MLE) and the Akaike information criterion (AIC). Then it was further statistically analyzed by using different distribution models at 45MHz operating frequency, with multi-node communications measured within three meters. The maximum attenuation of the receiver power is only 6.7dB and the channel loss will increase with the node distance. By comparing the simulation and the measurement results, it is found that the two results have the consistent attenuation trend. By measurement, Frequency Shift Keying (FSK) data is transmitted at 3m and Bit Error Ratio (BER) ≤10^-5 for multi-node human body communication, which is thus verified to have certain reliability and stability as well as the feasibility.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"3 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":"131201066","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}
{"title":"Research on Islanding Detection Method in Microgrid","authors":"Chaoran Wang, An-fei Xu, Shen Lei","doi":"10.1109/AEMCSE50948.2020.00108","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00108","url":null,"abstract":"In photovoltaic grid-connected power generation, islanding effect is one of the common faults. It not only endangers the power system, but also endangers the safety of workers. So how to detect islanding phenomenon is particularly important. This paper analyses the principle of four kinds of islanding detection and compares their advantages and disadvantages. The future research direction is to further improve its detection efficiency and reduce the degree of pollution to the power grid. In practical application, it will be the trend of islanding detection to choose appropriate detection methods to cooperate with each other.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"91 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":"115153444","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}
{"title":"Research on Calculation Method Based on Gray Edge Color Constant","authors":"Xinyu Sun, K. Xie, Sen Lin, Ao Yang, Hongbo Zhao","doi":"10.1109/AEMCSE50948.2020.00090","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00090","url":null,"abstract":"On the basis of gray edge hypothesis, further considering the influence of image edge information and high frequency noise on light color estimation, a color constancy calculation method based on gray edge algorithm is proposed. In this paper, Shi-gehler data set is used, because the color card in the original data set will affect the image correction, so the color card in the data set is set black, making the experimental results more accurate. In order to ensure the suppression of high-frequency noise, the Gaussian filter is replaced by the bilateral filter to estimate the illumination chroma, and the von kries diagonal transformation model is used to correct the color deviation image. The experimental results show that the strategy improves the accuracy of illumination estimation and the effect of color constancy.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"41 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":"127664101","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}
{"title":"Design and Manufacture of Gain Adjustable Broadband Amplifier","authors":"Xia Pu, Bin Lang","doi":"10.1109/AEMCSE50948.2020.00155","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00155","url":null,"abstract":"In this paper, the design and fabrication method of a gain adjustable wide-band amplifier is presented. The amplifier circuit is mainly composed of two programmable amplifier AD8370, and the control part is composed of AT89C52 single-chip microcomputer, keyboard and LCD display. The gain control information is input through the keyboard, and the gain of the two-stage amplifier is controlled by the single-chip microcomputer, and the gain value is displayed on the LCD1602 LCD screen. This design uses a variety of measures to improve the stability of the amplifier, reduce the circuit noise and suppress the high frequency self-excitation, and maximize the bandwidth and gain. The experimental results show that the output waveform of the amplifier is stable, the noise voltage is small and the gain fluctuation in the frequency band is small.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"438 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":"134484310","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}