To realize high-precision Single-axial Rotating FOG-SINS, a low-power, low-cost, middle-precision rotating control mechanism design for single axial rotating navigation system is put forward. Through theory analysis, design and experimental verification, the rotating control mechanism has good control precision and high reliability, which meets the demands for developing middle & high-precision FOG-SINS.
{"title":"Research of Strapdown Integrated Navigation System Based on Rotation Control Technology","authors":"Xu Dong, J. Dong, Hui Wang, Zong Yan","doi":"10.26549/met.v7i1.11641","DOIUrl":"https://doi.org/10.26549/met.v7i1.11641","url":null,"abstract":"To realize high-precision Single-axial Rotating FOG-SINS, a low-power, low-cost, middle-precision rotating control mechanism design for single axial rotating navigation system is put forward. Through theory analysis, design and experimental verification, the rotating control mechanism has good control precision and high reliability, which meets the demands for developing middle & high-precision FOG-SINS.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46786638","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}
A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced:(1) Multispectral image compression; (2) Multi-spectral image noise cancellation; (3) Information fusion of multi-spectral images and spot panchromatic images. The software experiments verify and evaluate the effectiveness and accuracy of the proposed algorithm.
{"title":"Application of PCA Numalgorithm in Remote Sensing Image Processing","authors":"Hong Dai","doi":"10.26549/met.v7i1.12317","DOIUrl":"https://doi.org/10.26549/met.v7i1.12317","url":null,"abstract":"A numerical algorithm of principal component analysis (PCA) is proposed and its application in remote sensing image processing is introduced:(1) Multispectral image compression; (2) Multi-spectral image noise cancellation; (3) Information fusion of multi-spectral images and spot panchromatic images. The software experiments verify and evaluate the effectiveness and accuracy of the proposed algorithm.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46671196","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}
Missile is an important weapon system of the army. The spare parts of missile equipment are significant effect on military operations. In order to improve the mission completion rate of missile equipment in wartime, thispaper introduces data sensing method to forecast the demand of valuablespare parts of missile equipment dynamically. Firstly, the information related to valuable spare parts of missile equipment was obtained by data sensing, and the sample size was determined by Bernoulli uniform sampling probability. Secondly, according to the data quality of multisource and multi-modal, the data requirement for dynamic demand prediction of valuable spare parts of missile equipment was obtained. Finally, according to the characteristics of the spare parts, the life of the spare parts was predicted, realizing the dynamic prediction of the demand for valuable spare parts of missile equipment. The results show that the demand of valuable spare parts of missile equipment can be predicted dynamically by using this method, the accuracy is higher than 95%, and the real-time performance is more excellent.
{"title":"Dynamic Prediction Method for Valuable Spare Parts Demand in Weaponry Equipment Based on Data Perception","authors":"Weiyi Wu, Yunxian Jia, Yangyang Zhang, B. Liu","doi":"10.26549/met.v7i1.11941","DOIUrl":"https://doi.org/10.26549/met.v7i1.11941","url":null,"abstract":"Missile is an important weapon system of the army. The spare parts of missile equipment are significant effect on military operations. In order to improve the mission completion rate of missile equipment in wartime, thispaper introduces data sensing method to forecast the demand of valuablespare parts of missile equipment dynamically. Firstly, the information related to valuable spare parts of missile equipment was obtained by data sensing, and the sample size was determined by Bernoulli uniform sampling probability. Secondly, according to the data quality of multisource and multi-modal, the data requirement for dynamic demand prediction of valuable spare parts of missile equipment was obtained. Finally, according to the characteristics of the spare parts, the life of the spare parts was predicted, realizing the dynamic prediction of the demand for valuable spare parts of missile equipment. The results show that the demand of valuable spare parts of missile equipment can be predicted dynamically by using this method, the accuracy is higher than 95%, and the real-time performance is more excellent.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47048277","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}
With the rapid developments of commercial demands, a majority of advanced researches have been investigated for the applications of underwater wireless sensor (WSN) networks. Recently optical communication has been considered for underwater wireless sensor network. An experimental set-up for testing optical communication underwater has been provided and designed in present papers to maximize the energy coupled from these displacements to the transduction mechanism that converts the mechanical energy into electrical. The true case has been considered by measuring diffuse attenuation coefficients in different seas. One stand out potential optical communication method, Visible Light Communication (VLC) has been talked and several communication methods are compared from many points of view, for example attenuation in salt water. The evaluation of modulation techniques for underwater wireless optical communications has been displayed, and further how the data collection and storage with an underwater WSN is introduced. In this paper current researches for an (UWSN) based on optical communication are studied, in particular the potential VLC method and comparisons of VLC with other optical communication approaches. Underwater challenges would be analyzed by comparing a sort of communication methods, applied in underwater. Future work will be developed at last.
{"title":"Study of Wireless Sensor Network Based on Optical Communication: Research Challenges and Current Results","authors":"Xinrui Li, Dandan Li","doi":"10.26549/met.v6i1.11372","DOIUrl":"https://doi.org/10.26549/met.v6i1.11372","url":null,"abstract":"With the rapid developments of commercial demands, a majority of advanced researches have been investigated for the applications of underwater wireless sensor (WSN) networks. Recently optical communication has been considered for underwater wireless sensor network. An experimental set-up for testing optical communication underwater has been provided and designed in present papers to maximize the energy coupled from these displacements to the transduction mechanism that converts the mechanical energy into electrical. The true case has been considered by measuring diffuse attenuation coefficients in different seas. One stand out potential optical communication method, Visible Light Communication (VLC) has been talked and several communication methods are compared from many points of view, for example attenuation in salt water. The evaluation of modulation techniques for underwater wireless optical communications has been displayed, and further how the data collection and storage with an underwater WSN is introduced. In this paper current researches for an (UWSN) based on optical communication are studied, in particular the potential VLC method and comparisons of VLC with other optical communication approaches. Underwater challenges would be analyzed by comparing a sort of communication methods, applied in underwater. Future work will be developed at last.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69461654","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}
Based on the paraphrasing of Chinese simple sentences, the complex sentence paraphrasing by using templates are studied. Through the classification of complex sentences, syntactic analysis and structural analysis, the proposed methods construct complex sentence paraphrasing templates that the associated words are as the core. The part of speech tagging is used in the calculation of the similarity between the paraphrasing sentences and the paraphrasing template. The joint complex sentence can be divided into parallel relationship, sequence relationship, selection relationship, progressive relationship, and interpretive relationship’s complex sentences. The subordinate complex sentence can be divided into transition relationship, conditional relationship, hypothesis relationship, causal relationship and objective relationship’s complex sentences. Joint complex sentence and subordinate complex sentence are divided to associated words. By using pretreated sentences, the preliminary experiment is carried out to decide the threshold between the paraphrasing sentence and the template. A small scale paraphrase experiment shows the method is availability, acquire the coverage rate of paraphrasing template 40.20% and the paraphrase correct rate 62.61%.
{"title":"Research of Paraphrasing for Chinese Complex Sentences Based on Templates","authors":"Zhongjian Wang, Ling Wang","doi":"10.26549/met.v6i1.11421","DOIUrl":"https://doi.org/10.26549/met.v6i1.11421","url":null,"abstract":"Based on the paraphrasing of Chinese simple sentences, the complex sentence paraphrasing by using templates are studied. Through the classification of complex sentences, syntactic analysis and structural analysis, the proposed methods construct complex sentence paraphrasing templates that the associated words are as the core. The part of speech tagging is used in the calculation of the similarity between the paraphrasing sentences and the paraphrasing template. The joint complex sentence can be divided into parallel relationship, sequence relationship, selection relationship, progressive relationship, and interpretive relationship’s complex sentences. The subordinate complex sentence can be divided into transition relationship, conditional relationship, hypothesis relationship, causal relationship and objective relationship’s complex sentences. Joint complex sentence and subordinate complex sentence are divided to associated words. By using pretreated sentences, the preliminary experiment is carried out to decide the threshold between the paraphrasing sentence and the template. A small scale paraphrase experiment shows the method is availability, acquire the coverage rate of paraphrasing template 40.20% and the paraphrase correct rate 62.61%.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41594576","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}
With the rapid development of social economy, the society has entered into a new stage of development, especially in new media under the background of rapid development, makes the importance of news and information to get the comprehensive promotion, and in order to further identify the positive and negative news, should be fully using machine learning methods, based on the emotion to realize the automatic classifying of news, in order to improve the efficiency of news classification. Therefore, the article first makes clear the basic outline of news sentiment classification. Secondly, the specific way of automatic classification of news emotion is deeply analyzed. On the basis of this, the paper puts forward the concrete measures of automatic classification of news emotion by using machine learning.
{"title":"Automatic Sentiment Classification of News Using Machine Learning Methods","authors":"Yuhan Wang","doi":"10.26549/met.v6i1.11132","DOIUrl":"https://doi.org/10.26549/met.v6i1.11132","url":null,"abstract":"With the rapid development of social economy, the society has entered into a new stage of development, especially in new media under the background of rapid development, makes the importance of news and information to get the comprehensive promotion, and in order to further identify the positive and negative news, should be fully using machine learning methods, based on the emotion to realize the automatic classifying of news, in order to improve the efficiency of news classification. Therefore, the article first makes clear the basic outline of news sentiment classification. Secondly, the specific way of automatic classification of news emotion is deeply analyzed. On the basis of this, the paper puts forward the concrete measures of automatic classification of news emotion by using machine learning.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48102790","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}
The application of pattern recognition technology enables us to solve various human-computer interaction problems that were difficult to solve before. Handwritten Chinese character recognition, as a hot research object in image pattern recognition, has many applications in people’s daily life, and more and more scholars are beginning to study off-line handwritten Chinese character recognition. This paper mainly studies the recognition of handwritten Chinese characters by BP (Back Propagation) neural network. Establish a handwritten Chinese character recognition model based on BP neural network, and then verify the accuracy and feasibility of the neural network through GUI (Graphical User Interface) model established by Matlab. This paper mainly includes the following aspects: Firstly, the preprocessing process of handwritten Chinese character recognition in this paper is analyzed. Among them, image preprocessing mainly includes six processes: graying, binarization, smoothing and denoising, character segmentation, histogram equalization and normalization. Secondly, through the comparative selection of feature extraction methods for handwritten Chinese characters, and through the comparative analysis of the results of three different feature extraction methods, the most suitable feature extraction method for this paper is found. Finally, it is the application of BP neural network in handwritten Chinese character recognition. The establishment, training process and parameter selection of BP neural network are described in detail. The simulation software platform chosen in this paper is Matlab, and the sample images are used to train BP neural network to verify the feasibility of Chinese character recognition. Design the GUI interface of human-computer interaction based on Matlab, show the process and results of handwritten Chinese character recognition, and analyze the experimental results.
模式识别技术的应用使我们能够解决以前难以解决的各种人机交互问题。手写体汉字识别作为图像模式识别的热门研究对象，在人们的日常生活中有着广泛的应用，越来越多的学者开始研究离线手写体汉字的识别。本文主要研究了BP神经网络在手写体汉字识别中的应用。建立了基于BP神经网络的手写体汉字识别模型，并通过Matlab建立的GUI（Graphical User Interface）模型验证了神经网络的准确性和可行性。本文主要包括以下几个方面：首先，分析了本文中手写体汉字识别的预处理过程。其中，图像预处理主要包括六个过程：灰度化、二值化、平滑去噪、字符分割、直方图均衡化和归一化。其次，通过对手写体汉字特征提取方法的比较选择，并通过对三种不同特征提取方法结果的比较分析，找到了最适合本文的特征提取方法。最后，介绍了BP神经网络在手写体汉字识别中的应用。详细介绍了BP神经网络的建立、训练过程和参数选择。本文选择的仿真软件平台是Matlab，并利用样本图像对BP神经网络进行训练，验证了汉字识别的可行性。设计了基于Matlab的人机交互GUI界面，展示了手写体汉字识别的过程和结果，并对实验结果进行了分析。
{"title":"Research on Handwritten Chinese Character Recognition Based on BP Neural Network","authors":"Z. Ning","doi":"10.26549/met.v6i1.11359","DOIUrl":"https://doi.org/10.26549/met.v6i1.11359","url":null,"abstract":"The application of pattern recognition technology enables us to solve various human-computer interaction problems that were difficult to solve before. Handwritten Chinese character recognition, as a hot research object in image pattern recognition, has many applications in people’s daily life, and more and more scholars are beginning to study off-line handwritten Chinese character recognition. This paper mainly studies the recognition of handwritten Chinese characters by BP (Back Propagation) neural network. Establish a handwritten Chinese character recognition model based on BP neural network, and then verify the accuracy and feasibility of the neural network through GUI (Graphical User Interface) model established by Matlab. This paper mainly includes the following aspects: Firstly, the preprocessing process of handwritten Chinese character recognition in this paper is analyzed. Among them, image preprocessing mainly includes six processes: graying, binarization, smoothing and denoising, character segmentation, histogram equalization and normalization. Secondly, through the comparative selection of feature extraction methods for handwritten Chinese characters, and through the comparative analysis of the results of three different feature extraction methods, the most suitable feature extraction method for this paper is found. Finally, it is the application of BP neural network in handwritten Chinese character recognition. The establishment, training process and parameter selection of BP neural network are described in detail. The simulation software platform chosen in this paper is Matlab, and the sample images are used to train BP neural network to verify the feasibility of Chinese character recognition. Design the GUI interface of human-computer interaction based on Matlab, show the process and results of handwritten Chinese character recognition, and analyze the experimental results.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45299907","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}
The machine translation of Japanese sentences with determiners, like “shika...nai”, “tyoutto...dakedeha”, “tada...dake” and so on, are more special and regular on sentences structure. The research collects and classifies the Japanese sentences which contain the determiners. The classification is carried out by according to the characteristics of Japanese sentences and translation habit of Chinese sentences. Through further abstraction and simplification, translation templates are extracted by gathering grammar rules information, studying syntax and analysis the collocation mode of sentences. Those determiners express confirmed meaning, and the corresponding translation Chinese sentences have the same characteristic. By analyzing the sentence characteristics with determiners and formalizing the sentences structure, the translation templates are abstracted. By investigating the structure characteristic of original sentences with translation templates, the similarity algorithm was defined. The threshold value of the similarity calculation was obtained by preliminary experiments, and the experiments of Japanese-Chinese translation are carried out by a small corpus. The experimental results for several kinds of Japanese sentences with determiners show the translation accuracy rate is 68.6%, template coverage rate reach 83.3%. At last, through the analysis for the translation errors, following conclusion is drawn: the results of morphological analysis are erroneous, because the error of word segmentation the part of speech tagging also are erroneous, result in the grammar structure cannot match with templates; the original sentences are long and especially complex sentences; the templates are too complicated; the similarity calculation method needs to discuss further, and so on.
{"title":"Japanese-Chinese Machine Translation of Japanese Determiners Based on Templates","authors":"Ling Wang, Zhongjian Wang","doi":"10.26549/met.v6i1.11422","DOIUrl":"https://doi.org/10.26549/met.v6i1.11422","url":null,"abstract":"The machine translation of Japanese sentences with determiners, like “shika...nai”, “tyoutto...dakedeha”, “tada...dake” and so on, are more special and regular on sentences structure. The research collects and classifies the Japanese sentences which contain the determiners. The classification is carried out by according to the characteristics of Japanese sentences and translation habit of Chinese sentences. Through further abstraction and simplification, translation templates are extracted by gathering grammar rules information, studying syntax and analysis the collocation mode of sentences. Those determiners express confirmed meaning, and the corresponding translation Chinese sentences have the same characteristic. By analyzing the sentence characteristics with determiners and formalizing the sentences structure, the translation templates are abstracted. By investigating the structure characteristic of original sentences with translation templates, the similarity algorithm was defined. The threshold value of the similarity calculation was obtained by preliminary experiments, and the experiments of Japanese-Chinese translation are carried out by a small corpus. The experimental results for several kinds of Japanese sentences with determiners show the translation accuracy rate is 68.6%, template coverage rate reach 83.3%. At last, through the analysis for the translation errors, following conclusion is drawn: the results of morphological analysis are erroneous, because the error of word segmentation the part of speech tagging also are erroneous, result in the grammar structure cannot match with templates; the original sentences are long and especially complex sentences; the templates are too complicated; the similarity calculation method needs to discuss further, and so on.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42341634","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}
γ-ray and x-ray detectors made by Cd1-xZnxTe alloy can gain high energy resolution and detect efficiency at room temperature due to its high atomic number, large energy gap and high density, which were well-developed recently. By well controlled of Cadmium partial pressure and compensatory doping technique, Ф90 mm Cd1-xZnxTe alloy obtained successfully (ρ≥1011 Ω·cm) by an improved-Bridgman method. 3 mm × 3 mm × 3 mm CZT detector was made at Kunming Institute of Physics, which has energy resolution of 3.52% (FWHM) at room temperature when detect 59.54 KeV Am241 γ-ray source.
{"title":"Preparation and Performance of CdZnTe Ray Detector","authors":"Jun Jiang","doi":"10.26549/met.v6i1.9507","DOIUrl":"https://doi.org/10.26549/met.v6i1.9507","url":null,"abstract":"γ-ray and x-ray detectors made by Cd1-xZnxTe alloy can gain high energy resolution and detect efficiency at room temperature due to its high atomic number, large energy gap and high density, which were well-developed recently. By well controlled of Cadmium partial pressure and compensatory doping technique, Ф90 mm Cd1-xZnxTe alloy obtained successfully (ρ≥1011 Ω·cm) by an improved-Bridgman method. 3 mm × 3 mm × 3 mm CZT detector was made at Kunming Institute of Physics, which has energy resolution of 3.52% (FWHM) at room temperature when detect 59.54 KeV Am241 γ-ray source.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45949799","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}
With the rapid development of science and technology and the arrival of the information age, computer technology has also gained rapid development, and has a very wide application prospect in the current social environment. But at the same time, robots may also induce a variety of ethical problems, the existence of these ethical problems also affect the sustainable development of robots. This paper mainly aims at the change of robot application trend and related ethical issues, hoping to provide some reference for robot application and development.
{"title":"Trends of Robot Application——Ethical Response","authors":"Lunfei Li","doi":"10.26549/met.v4i2.4299","DOIUrl":"https://doi.org/10.26549/met.v4i2.4299","url":null,"abstract":"With the rapid development of science and technology and the arrival of the information age, computer technology has also gained rapid development, and has a very wide application prospect in the current social environment. But at the same time, robots may also induce a variety of ethical problems, the existence of these ethical problems also affect the sustainable development of robots. This paper mainly aims at the change of robot application trend and related ethical issues, hoping to provide some reference for robot application and development.","PeriodicalId":66865,"journal":{"name":"现代电子技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42839458","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}
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