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2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)最新文献

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Design of Quad-Band Filter Using SIR and DGS 基于SIR和DGS的四频带滤波器设计
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362506
Xinge Wang, Ling Wang, Wanyin Yang, Yimei Zhang
{"title":"Design of Quad-Band Filter Using SIR and DGS","authors":"Xinge Wang, Ling Wang, Wanyin Yang, Yimei Zhang","doi":"10.1109/ICPECA51329.2021.9362506","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362506","url":null,"abstract":"A novel quad-band microstrip bandpass filter (BPF) using stepped impedance resonators (SIR), stub loaded resonator(SLR) and defect ground structure(DGS), which can be utilized in Fourth Generation Mobile Telephone Mobile Communication Standard(LTE-TDD), Direct To Home(DTH), 5-th Generation(5G) and Digital Microwave Relay Communication. The BPF was modeled and simulated by using the Ansys HFSS software. And the fabricated filter has the minimum insertion losses of 0.67 dB, 1.5 dB, 0.3 dB and 2.1 dB and the return losses 19.5 dB, 11.8 dB, 20.8 dB and 14.8 dB. By tuning the parameter of DGS, a multi-band filter can be easily optimized. This study provides a simple and effective method to design a quad-band filter with low insertion loss and compact size.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129198942","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: 5
Double Closed Loop Control of DC-DC Boost Converter DC-DC升压变换器的双闭环控制
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362504
Lin Yun, Gao Qianqian, Z. Xiang
{"title":"Double Closed Loop Control of DC-DC Boost Converter","authors":"Lin Yun, Gao Qianqian, Z. Xiang","doi":"10.1109/ICPECA51329.2021.9362504","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362504","url":null,"abstract":"In this paper, An average switch model of a boost converter with double closed loop control is presented by using the method of average state space. A detailed design procedure of both voltage and current feedback loops are given in a boost converter. The proposed circuit shows the characteristics of the fast dynamic response. Besides, the output voltage ripple is reduced significantly. Finally, this method is verified practically and superiority by using MATLAB.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114904744","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
Short-lag filtered-delay multiply and sum beamformer combined with sign coherence factor in ultrasound imaging 结合符号相干因子的短滞后滤波-延迟乘和波束形成器在超声成像中的应用
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362556
Ke Song, Jian Zhan, Paul Liu, D. Liu
{"title":"Short-lag filtered-delay multiply and sum beamformer combined with sign coherence factor in ultrasound imaging","authors":"Ke Song, Jian Zhan, Paul Liu, D. Liu","doi":"10.1109/ICPECA51329.2021.9362556","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362556","url":null,"abstract":"A short-lag filtered-delay multiply and sum (FDMAS) beamforming algorithm, which can be considered as a variant of F-DMAS, has recently been proposed. In this method, the signals in the regions of low lags (short-lag) are used, and the computation complexity is reduced accordingly. In fact, the short-lag regions can efficiently reflect the spatial coherence. Thus, we proposed a method to combine this algorithm with the Sign Coherence Factor (SCF). In the simulation test, our proposed method demonstrate better contrast and resolution in comparison with the F-DMAS.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116850534","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
Chip defect detection based on deep learning method 基于深度学习方法的芯片缺陷检测
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362704
Xiaoyu Yang, Fuye Dong, F. Liang, Guohe Zhang
{"title":"Chip defect detection based on deep learning method","authors":"Xiaoyu Yang, Fuye Dong, F. Liang, Guohe Zhang","doi":"10.1109/ICPECA51329.2021.9362704","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362704","url":null,"abstract":"With the rapid development of deep learning theory and computing resources, defect detection based on deep learning has been increasingly used. Compared with traditional machine learning methods, detection methods based on deep learning can achieve end-to-end detection methods, with high flexibility and accuracy, strong network expression capabilities, and no manual design features. This paper focuses on the use of deep learning-based methods to detect chip defects: make data sets according to the types of chip defects, detect chip defect based on the YOLOv3 network and fine-tuning it. The final mAP reached 86.36%.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116931524","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: 5
Design of medical image enhancement algorithm based on Python 基于Python的医学图像增强算法设计
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362581
Hui Zhou, Shuai Wu
{"title":"Design of medical image enhancement algorithm based on Python","authors":"Hui Zhou, Shuai Wu","doi":"10.1109/ICPECA51329.2021.9362581","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362581","url":null,"abstract":"The accuracy of medical diagnosis depends on the accuracy of image recognition, so the details of the preprocessing of medical images are more stringent, especially the edges of images that contain a lot of information need to be enhanced. Therefore, this article chooses to combine various enhancement methods in the spatial domain and apply python software to medical image enhancement. The experimental results show that the algorithm not only effectively retains the texture and details in the medical image, but also enhances the contour and edge of the medical image, so that some details that cannot be observed by the naked eye appear. At the same time, the use of python makes the whole algorithm more realized. Fast and more conducive to medical staff to observe the focus of the medical image.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131157880","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
Searching for valid path set under the condition of urban rail transit network failure 寻找城市轨道交通网络故障条件下的有效路径集
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362694
Feiyan Li
{"title":"Searching for valid path set under the condition of urban rail transit network failure","authors":"Feiyan Li","doi":"10.1109/ICPECA51329.2021.9362694","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362694","url":null,"abstract":"When the subway station and the sector failed, the train will use the nearest turn line to form temporary train operation plan. Therefore, it is not reasonable that removing the failed subway station and the sector to rebuild the rail transit network. In this paper, the directed weighted transit network is reconstructed by removing the nodes and edges in the affected scope. The subway network is consisted of nodes and edges. The station and the sector are presented for the node, the edge, respectively. There are more transfer stations with the more perfect subway network. Passengers consider transfer impedance in the path selection. So, transfer station is split into the turn-back station and normal station which belongs to the respective line. And these stations are connected with edge between them. Then valid routes are searched by Breadth-First Search algorithm based on the reconstruction of the rail transit network.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131272480","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
A Feature Extraction Method Based on Continuous Spectrum in Gammatone Frequency Bands 一种基于γ酮频带连续谱的特征提取方法
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362707
Minghui Ding, Lei Yue, Yunzhou Li, Jiesi Na, Shuaishuai Yang
{"title":"A Feature Extraction Method Based on Continuous Spectrum in Gammatone Frequency Bands","authors":"Minghui Ding, Lei Yue, Yunzhou Li, Jiesi Na, Shuaishuai Yang","doi":"10.1109/ICPECA51329.2021.9362707","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362707","url":null,"abstract":"Target recognition is one of the most important technologies in the field of underwater acoustic detection, and has been widely used in the military. Target radiation noise and environmental noise are random signals, environmental noise has obvious time-varying characteristics, so a specific method is difficult to achieve multi-class similar target classification and recognition. For the targets with similar auditory characteristics, take first preliminary classification and then accurate recognition as technical ideas, a feature extraction method based on continuous spectrum in Gammatone frequency bands is proposed. Initial target classification is realized through Gammatone feature extraction, and accurate identification is realized through extracting Continuous spectrum feature in Gammatone subband. By using the real recording data of surface target, verifying the proposed method. Results show that the proposed method can effectively classify and recognize two kinds of objects with similar auditory characteristics.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128359789","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
Uncertainty evaluation and conformity evaluation of DC resistance tester 直流电阻测试仪的不确定度评定与合格评定
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362678
Quanying Liu, F. Huang, D. Sui, Hong Tang
{"title":"Uncertainty evaluation and conformity evaluation of DC resistance tester","authors":"Quanying Liu, F. Huang, D. Sui, Hong Tang","doi":"10.1109/ICPECA51329.2021.9362678","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362678","url":null,"abstract":"In order to investigate the reliability of verification results of DC resistance tester, the uncertainty of verification results was evaluated. According to JJF 1059.1-2012 “evaluation and expression of uncertainty in measurement”, a mathematical model is established to analyze the sources of uncertainty of measurement results and calculate the components of uncertainty. Taking 500m$Omega$ point of DC resistance tester as a verification point, the standard uncertainty expressed by absolute value and relative value is 321$muOmega$ and 0.064% respectively. Finally, based on the calculation of uncertainty, the conformity evaluation method and process of the tested instrument are given.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131738304","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
Chinese Semantic Role Labeling Integrating Global Information and Attention Mechanism 整合全局信息和注意机制的汉语语义角色标注
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362502
Ao Zhu, Guoyi Che, F. Wan, Ning Ma
{"title":"Chinese Semantic Role Labeling Integrating Global Information and Attention Mechanism","authors":"Ao Zhu, Guoyi Che, F. Wan, Ning Ma","doi":"10.1109/ICPECA51329.2021.9362502","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362502","url":null,"abstract":"With the rapid development of artificial intelligence and Chinese information processing technology, natural language processing related research has gradually deepened to the level of semantic understanding, and Chinese semantic role labeling is the core technology in the field of semantic understanding. In the field of Chinese information processing where statistical machine learning is still the mainstream, traditional labeling methods rely heavily on the parsing degree of sentence syntax and semantics, so the labeling accuracy is limited and cannot meet current needs. In response to the above problems, this paper proposes a CNN-BiLSTM-Attention-CRF fusion model for Chinese semantic role tagging, and at the same time the model performance optimization research. In the model training stage, convolution kernels of different sizes are used to capture the local features of the sentence, and then the different local features are spliced into a new feature vector through the average pooling technology, which is the global feature that integrates the semantic information of the entire sentence sequence, the same part of speech, sentence phrase Multi-level linguistic feature groups such as structure are fed into the model together. Through multiple sets of experimental demonstrations, the feature set integrated into the sequence global information can significantly improve the various indicators of the model.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134333294","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
Similarity Measurement of Spatiotemporal Trajectories Considering Semantic Features 考虑语义特征的时空轨迹相似性度量
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI: 10.1109/ICPECA51329.2021.9362605
Chengcheng Jiang, Yan Zhou, Cong Zhang
{"title":"Similarity Measurement of Spatiotemporal Trajectories Considering Semantic Features","authors":"Chengcheng Jiang, Yan Zhou, Cong Zhang","doi":"10.1109/ICPECA51329.2021.9362605","DOIUrl":"https://doi.org/10.1109/ICPECA51329.2021.9362605","url":null,"abstract":"To solve the difficulties that considering the spatiotemporal and semantic features simultaneously in the similarity measurement of spatiotemporal trajectories, a multi-dimensional semantic matrix of spatiotemporal trajectory is constructed, and a unified quantitative semantic space is established by combining the singular value decomposition. The spatiotemporal trajectory is mapped into a feature semantic vector and a low rank feature matrix, containing the essential characteristics of trajectory, and the data dimensional reduction and denoising are realized after the decomposition process. Comparative experiments on real dataset demonstrate that the proposed method can accurately describe the essential characteristics of spatiotemporal trajectories on the basis of geospatial level, and effectively measure both semantic and geographic similarities among trajectories.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134638454","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
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