Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769259
Guang Li, Lin Liang, Dan Liu, Maolin Li, Baozhong Wang, Guanghua Xu
the traditional theory method of blind source separation needs priori knowledge, while in the absence of priori knowledge, how to separate the source signal from the composite signals of the power device, which is great significance in the fault diagnosis of mechanical equipment. Aiming at this problem, the separation method of the multi-channel vibration source signals based on nonnegative tensor factorization (NTF) is proposed. Firstly, the data of multi-channel vibration signals are used to construct the tensor of time-frequency by Short Time Fourier Transform (STFT), generally in the process of STFT the window length is set based on experience, aiming at the above problem, the optimal window length of STFT based on mean entropy both in the direction of time domain and frequency domain is proposed; Secondly, it is proposed that the optimal number of source signals is estimated by utilizing the index of the convergence error , the iterative steps and the nuclear consistency generated in the process of NTF; and then NTF is performed again according to the optimal number of source signals for the time-frequency tensor data; furthermore, the time-frequency distribution of the source signals is reconstructed by utilizing the matrix obtained by NTF, and the source signals are obtained by the inverse of STFT; finally, the fault frequency characteristic can be presented clearly after the envelope demodulation for the reconstructed source signals. The experimental results of the plunger pump verify the effectiveness of the methods mentioned above.
{"title":"The Source Separation of Multi-channel Vibration Signal Based on Nonnegative Tensor Factorization","authors":"Guang Li, Lin Liang, Dan Liu, Maolin Li, Baozhong Wang, Guanghua Xu","doi":"10.1109/ICCCAS.2018.8769259","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769259","url":null,"abstract":"the traditional theory method of blind source separation needs priori knowledge, while in the absence of priori knowledge, how to separate the source signal from the composite signals of the power device, which is great significance in the fault diagnosis of mechanical equipment. Aiming at this problem, the separation method of the multi-channel vibration source signals based on nonnegative tensor factorization (NTF) is proposed. Firstly, the data of multi-channel vibration signals are used to construct the tensor of time-frequency by Short Time Fourier Transform (STFT), generally in the process of STFT the window length is set based on experience, aiming at the above problem, the optimal window length of STFT based on mean entropy both in the direction of time domain and frequency domain is proposed; Secondly, it is proposed that the optimal number of source signals is estimated by utilizing the index of the convergence error , the iterative steps and the nuclear consistency generated in the process of NTF; and then NTF is performed again according to the optimal number of source signals for the time-frequency tensor data; furthermore, the time-frequency distribution of the source signals is reconstructed by utilizing the matrix obtained by NTF, and the source signals are obtained by the inverse of STFT; finally, the fault frequency characteristic can be presented clearly after the envelope demodulation for the reconstructed source signals. The experimental results of the plunger pump verify the effectiveness of the methods mentioned above.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117254585","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769178
Bin Wang, Xu Chen, Shumin Li, F. Xin, Jinkuan Wang
Due to the uncertainties of radar target prior information in the actual scene, the waveform designed based on radar target prior information cannot meet the needs of parameter estimation. In order to ensure the performance of parameter estimation for the complex target model, a mutual information (MI)-based waveform design method which is robust to the model uncertainties under the hierarchical game model of radar and jammer is proposed in this paper. Simulation results indicate that the robust waveform design method ensures the parameter estimation performance effectively and provides useful guidance for waveform energy allocation.
{"title":"Robust Waveform Design Based on Jammer Games in Cognitive Radar","authors":"Bin Wang, Xu Chen, Shumin Li, F. Xin, Jinkuan Wang","doi":"10.1109/ICCCAS.2018.8769178","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769178","url":null,"abstract":"Due to the uncertainties of radar target prior information in the actual scene, the waveform designed based on radar target prior information cannot meet the needs of parameter estimation. In order to ensure the performance of parameter estimation for the complex target model, a mutual information (MI)-based waveform design method which is robust to the model uncertainties under the hierarchical game model of radar and jammer is proposed in this paper. Simulation results indicate that the robust waveform design method ensures the parameter estimation performance effectively and provides useful guidance for waveform energy allocation.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122636903","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768934
Sensong Shen, Mengxia Yu, Senlin Zhang, Xiangou Zhang, Jun Xu
In this paper, an equivalent-circuit model including detailed parasitic parameters of a planar anti-parallel GaAs Schottky diode is proposed for Terahertz application. The 3D electromagnetic model is established according to the actual geometry of diode to extract diode parameters simultaneously. Combined with empirical equivalent circuit model, equivalent circuit model and 3D electromagnetic model, the parameters of diode can be extracted completely and accurately. These models can be used for the design of terahertz circuits.
{"title":"An Equivalent-Circuit Model of Planar GaAs Schottky Diode for Terahertz Application","authors":"Sensong Shen, Mengxia Yu, Senlin Zhang, Xiangou Zhang, Jun Xu","doi":"10.1109/ICCCAS.2018.8768934","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768934","url":null,"abstract":"In this paper, an equivalent-circuit model including detailed parasitic parameters of a planar anti-parallel GaAs Schottky diode is proposed for Terahertz application. The 3D electromagnetic model is established according to the actual geometry of diode to extract diode parameters simultaneously. Combined with empirical equivalent circuit model, equivalent circuit model and 3D electromagnetic model, the parameters of diode can be extracted completely and accurately. These models can be used for the design of terahertz circuits.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127863277","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769297
Wenjuan Mei, Zhen Liu, Yuhua Cheng
Time series prediction has become a heavily researched topic in the past several decades because of its broad application scenarios. Although many prediction algorithms have been proposed, few methods are available to generate an optimal prediction model. In this paper, we proposed a novel algorithm based on the Volterra series model and Constructive Selection for Extreme Learning Machine (CS-ELM) to build an effective model for time series prediction. More specifically, we employ genetic algorithms (GAs) to optimize the hidden layer formed by CS-ELM for greater accuracy. The experimental results for several real-world applications show that the proposed algorithm produces better accuracy and generates more effective prediction models than CS-ELM and other classic neural networks (NNs) methods.
{"title":"Volterra Kernel Constructive Extreme Learning Machine Based on Genetic Algorithms for Time Series Prediction","authors":"Wenjuan Mei, Zhen Liu, Yuhua Cheng","doi":"10.1109/ICCCAS.2018.8769297","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769297","url":null,"abstract":"Time series prediction has become a heavily researched topic in the past several decades because of its broad application scenarios. Although many prediction algorithms have been proposed, few methods are available to generate an optimal prediction model. In this paper, we proposed a novel algorithm based on the Volterra series model and Constructive Selection for Extreme Learning Machine (CS-ELM) to build an effective model for time series prediction. More specifically, we employ genetic algorithms (GAs) to optimize the hidden layer formed by CS-ELM for greater accuracy. The experimental results for several real-world applications show that the proposed algorithm produces better accuracy and generates more effective prediction models than CS-ELM and other classic neural networks (NNs) methods.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121159487","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768939
Ting-cheng Zhang, Y. Wan
In order to solve the multi-parameter optimization problem of the infinite impulse response (IIR) digital filter design, a design algorithm based on the least-squares method is proposed. The optimal filter is obtained by selecting 512 points to approximate the corresponding points of the amplitude response of the ideal filter. Computer simulations show that the maximum amplitude error of pass-band or stop-band (MME) of the IIR digital filter based on the least-squares method is significantly less than that of the traditional algorithm, and the convergence speed of the IIR digital filter is faster with the increase of the order.
{"title":"A New Least-Squares Based Method for IIR Digital Filter Design","authors":"Ting-cheng Zhang, Y. Wan","doi":"10.1109/ICCCAS.2018.8768939","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768939","url":null,"abstract":"In order to solve the multi-parameter optimization problem of the infinite impulse response (IIR) digital filter design, a design algorithm based on the least-squares method is proposed. The optimal filter is obtained by selecting 512 points to approximate the corresponding points of the amplitude response of the ideal filter. Computer simulations show that the maximum amplitude error of pass-band or stop-band (MME) of the IIR digital filter based on the least-squares method is significantly less than that of the traditional algorithm, and the convergence speed of the IIR digital filter is faster with the increase of the order.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126334656","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768975
Linlin Zhao, Haiyang Quan
The noise and bias instability of low-cost MEMS sensors can cause serious location errors in the GNSS/INS integrated navigation system which limit the accuracy and errors in terms of position, velocity and attitude grow rapidly in stand-alone mode. In order to satisfy the de-noising requirements of MEMS sensors for the GNSS/INS integrated navigation receivers that have strict restrictions in size and cost, an improved lifting wavelet method is proposed which is modified to fit the scenario of real-time response in practical embedded platforms. Firstly, we analyzed the error model of the MEMS sensors and introduced Allan variance method. Secondly, principle of an improved lifting wavelet transform algorithm is introduced. We modified the algorithm by recursive threshold selection which made it possible to work in the embedded system. The algorithm is coded and compiled in C language and stationary simulation and Allan variance results verified the effectiveness of the algorithm. Finally, we successfully transplanted the algorithm into the software of a self-developed strap-down GNSS/INS integrated navigation receiver. The experiment results indicate that the method is beneficial to the improvement of the accuracy and stability of the integrated navigation system by effectively reducing the random noise of the low-cost MEMS sensors.
{"title":"Application of an Improved Lifting Wavelet Method in the GNSS/INS Integrated Navigation Receiver","authors":"Linlin Zhao, Haiyang Quan","doi":"10.1109/ICCCAS.2018.8768975","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768975","url":null,"abstract":"The noise and bias instability of low-cost MEMS sensors can cause serious location errors in the GNSS/INS integrated navigation system which limit the accuracy and errors in terms of position, velocity and attitude grow rapidly in stand-alone mode. In order to satisfy the de-noising requirements of MEMS sensors for the GNSS/INS integrated navigation receivers that have strict restrictions in size and cost, an improved lifting wavelet method is proposed which is modified to fit the scenario of real-time response in practical embedded platforms. Firstly, we analyzed the error model of the MEMS sensors and introduced Allan variance method. Secondly, principle of an improved lifting wavelet transform algorithm is introduced. We modified the algorithm by recursive threshold selection which made it possible to work in the embedded system. The algorithm is coded and compiled in C language and stationary simulation and Allan variance results verified the effectiveness of the algorithm. Finally, we successfully transplanted the algorithm into the software of a self-developed strap-down GNSS/INS integrated navigation receiver. The experiment results indicate that the method is beneficial to the improvement of the accuracy and stability of the integrated navigation system by effectively reducing the random noise of the low-cost MEMS sensors.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125736456","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}
Pub Date : 2018-12-01DOI: 10.1109/icccas.2018.8769217
{"title":"ICCCAS 2018 TOC","authors":"","doi":"10.1109/icccas.2018.8769217","DOIUrl":"https://doi.org/10.1109/icccas.2018.8769217","url":null,"abstract":"","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133488198","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768964
Li Chong-cun, Xu Li-zhi, Song Xue-jun, Guo Zhen-xing, Liu Xiong
Evolvable hardware is a combination of evolutionary algorithms and reconfigurable hardware, which can change itself structure to adapt to the living environment. Evolvable hardware possessed the characteristics of self-organization, self-adaptation and self-repair. The off-line evolution of digital circuits is similar to a simulation process, which lacks real-time capability and cannot generate actual circuits for every evolutionary digital circuit. The hardware online evolution platform is designed for evolution digital circuit based on Field Programmer Gate Array. Compared with off-line evolution, the platform can monitor the status of the designed circuit in real time, and it is easily to evolve a digital circuit for practical products directly. The multiplier circuit has obtained using the on online evolution platform combining based on matrix coded Cartesian Genetic Programming.
{"title":"Hardware Evolution Platform Reasearch Based on Matrix Coding CGP","authors":"Li Chong-cun, Xu Li-zhi, Song Xue-jun, Guo Zhen-xing, Liu Xiong","doi":"10.1109/ICCCAS.2018.8768964","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768964","url":null,"abstract":"Evolvable hardware is a combination of evolutionary algorithms and reconfigurable hardware, which can change itself structure to adapt to the living environment. Evolvable hardware possessed the characteristics of self-organization, self-adaptation and self-repair. The off-line evolution of digital circuits is similar to a simulation process, which lacks real-time capability and cannot generate actual circuits for every evolutionary digital circuit. The hardware online evolution platform is designed for evolution digital circuit based on Field Programmer Gate Array. Compared with off-line evolution, the platform can monitor the status of the designed circuit in real time, and it is easily to evolve a digital circuit for practical products directly. The multiplier circuit has obtained using the on online evolution platform combining based on matrix coded Cartesian Genetic Programming.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134084645","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8769329
Z. Xiaobo, Peng Jinye, Liu Tian, Li Chenyu
Aiming at the insufficiency of multi-scale texture feature description ability of gray level co-occurrence matrix, based on the multi-direction and multi-scale feature of non-sub sampled shearlet transform, a new method of texture feature description is proposed. The composite texture feature consists of two aspects: on the one hand, the four statistic of the gray level co-occurrence matrix of the image is used as a local texture feature; on the other hand, the non-sub sampled shearlet transform is performed on the image to obtain different scales and directions. Based on the mean and variance of the energy of the sub-band coefficient image, the texture features of the image with multi-scale characteristics are formed. The two features are given different weights to form a composite texture feature, and the Euclidean distance is used as the similarity measure to realize image retrieval. This composite texture feature can not only represent the local texture feature of the image, but also express the multi-scale texture feature of the image. Experimental results show that the precision of image retrieval based on composite texture feature description method is fine.
{"title":"Image Retrieval Method Based On Composite Texture Feature Representation","authors":"Z. Xiaobo, Peng Jinye, Liu Tian, Li Chenyu","doi":"10.1109/ICCCAS.2018.8769329","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8769329","url":null,"abstract":"Aiming at the insufficiency of multi-scale texture feature description ability of gray level co-occurrence matrix, based on the multi-direction and multi-scale feature of non-sub sampled shearlet transform, a new method of texture feature description is proposed. The composite texture feature consists of two aspects: on the one hand, the four statistic of the gray level co-occurrence matrix of the image is used as a local texture feature; on the other hand, the non-sub sampled shearlet transform is performed on the image to obtain different scales and directions. Based on the mean and variance of the energy of the sub-band coefficient image, the texture features of the image with multi-scale characteristics are formed. The two features are given different weights to form a composite texture feature, and the Euclidean distance is used as the similarity measure to realize image retrieval. This composite texture feature can not only represent the local texture feature of the image, but also express the multi-scale texture feature of the image. Experimental results show that the precision of image retrieval based on composite texture feature description method is fine.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132765138","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}
Pub Date : 2018-12-01DOI: 10.1109/ICCCAS.2018.8768967
Ziren Wang, Jinchun Gao, H. M. Bilal, Jiahao Luo, Xiaoming Li
The transmission loss of the signal in the radio frequency circuit has gained much more attention. In this paper, the loss of the impedance discontinuity caused by the solder joint was mainly investigated and two compensation schemes were proposed. Then, the SMP RF connector and microstrip line models were established in 3D electromagnetic field simulation software, and the S parameters and time domain reflectometry (TDR) before and after compensation were compared. Finally, the S parameters of SMP RF connector and microstrip line before and after the compensation were measured. Both the simulation and the measurement show that the signal integrity and transmission performance of compensated RF connector and microstrip line has been significantly improved.
{"title":"Impedance Compensation of the Welding Area of the RF Connector and Microstrip Line","authors":"Ziren Wang, Jinchun Gao, H. M. Bilal, Jiahao Luo, Xiaoming Li","doi":"10.1109/ICCCAS.2018.8768967","DOIUrl":"https://doi.org/10.1109/ICCCAS.2018.8768967","url":null,"abstract":"The transmission loss of the signal in the radio frequency circuit has gained much more attention. In this paper, the loss of the impedance discontinuity caused by the solder joint was mainly investigated and two compensation schemes were proposed. Then, the SMP RF connector and microstrip line models were established in 3D electromagnetic field simulation software, and the S parameters and time domain reflectometry (TDR) before and after compensation were compared. Finally, the S parameters of SMP RF connector and microstrip line before and after the compensation were measured. Both the simulation and the measurement show that the signal integrity and transmission performance of compensated RF connector and microstrip line has been significantly improved.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115466819","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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