A state-of-the-art detector array with a digital data acquisition system has been developed for charged-particle decay studies,includingβ-delayed protons,αdecay,and direct proton emissions from exotic proton-rich nu...A state-of-the-art detector array with a digital data acquisition system has been developed for charged-particle decay studies,includingβ-delayed protons,αdecay,and direct proton emissions from exotic proton-rich nuclei.The digital data acquisition system enables precise synchronization and processing of complex signals from various detectors,such as plastic scintillators,silicon detectors,and germaniumγdetectors.The system's performance was evaluated using theβdecay of^(32)Ar and its neighboring nuclei,produced via projectile fragmentation at the first Radioactive Ion Beam Line in Lanzhou(RIBLL1).Key measurements,including the half-life,charged-particle spectrum,andγ-ray spectrum,were obtained and compared with previous results for validation.Using the implantation–decay method,the isotopes of interest were implanted into two doublesided silicon strip detectors,where their subsequent decays were measured and correlated with preceding implantations using both position and time information.This detection system has potential for further applications,including the study ofβ-delayed charged-particle decay and direct proton emissions from even more exotic proton-rich nuclei.展开更多
By exploiting the structural features of L1C messages,a novel Early Termination( ET) strategy is proposed to speed up the decoding of low-density parity-check( LDPC) codes in the GPS system. The proposed strategy is b...By exploiting the structural features of L1C messages,a novel Early Termination( ET) strategy is proposed to speed up the decoding of low-density parity-check( LDPC) codes in the GPS system. The proposed strategy is based on the cyclic redundancy check( CRC) of the messages in the subframes 2 and 3. The simulation results show that average number of iterations of the proposed strategy is less than that of the standard ET strategy,with nearly no degradation in decoding performance. Besides,the proposed ET strategy can be efficiently implemented in a sequential or parallel manner. Thus,the proposed ET strategy is attractive for practical purposes.展开更多
Fresh Lycium barbarum L.(L.barbarum)fruits are renowned for their exceptionally high nutritional value and health benefits,which is leading to an increasing demand among consumers.However,the quality testing and gradi...Fresh Lycium barbarum L.(L.barbarum)fruits are renowned for their exceptionally high nutritional value and health benefits,which is leading to an increasing demand among consumers.However,the quality testing and grading of fresh L.barbarum fruits present significant challenges that hinder the growth of the L.barbarum industry.In this study,an electrical characterization method is used to analyze the variations in electrical parameters of fresh L.barbarum fruits under different degrees of damage.Optimal testing conditions for eight electrical parameters are determined,and principal component analysis(PCA)along with partial least squares(PLS)is applied to reduce data dimensionality and extract key features.Subsequently,damage degree discrimination models are developed using the support vector machine(SVM),random forest(RF),and convolutional neural network(CNN).The experimental results indicate that the PLS-RF model was the most effective,achieving discrimination accuracies of 99.48%and 91.25%in the training and test sets,respectively.The aim of this study is to validate the feasibility of using electrical characteristics to differentiate the degree of fruit damage and it establishes a reliable model for assessing damage extent in L.barbarum fruits.This innovative approach not only provides a novel method for evaluating fruit damage but may also serve as a theoretical basis for the development of mechanical harvesting equipment for L.barbarum fruits.展开更多
基金supported by the National Key Research and Development Project,China(No.2023YFA1606404)the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDB34010300)+5 种基金the National Natural Science Foundation of China(Nos.12022501,12105329,12475127)the Guangdong Major Project of Basic and Applied Basic Research(No.2021B0301030006)the Research Program of Heavy Ion Science and Technology Key Laboratory,Institute of Modern Physics,Chinese Academy of Sciences(Nos.HIST2024KS04,HIST2024CO04)Longyuan Youth Innovation and Entrepreneurship Talent Project of Gansu Province(No.2024GZT04)State Key Laboratory of Nuclear Physics and Technology,Peking University(No.NPT2023KFY01)the Major Science and Technology Projects in Gansu Province(No.24GD13GA005)。
文摘A state-of-the-art detector array with a digital data acquisition system has been developed for charged-particle decay studies,includingβ-delayed protons,αdecay,and direct proton emissions from exotic proton-rich nuclei.The digital data acquisition system enables precise synchronization and processing of complex signals from various detectors,such as plastic scintillators,silicon detectors,and germaniumγdetectors.The system's performance was evaluated using theβdecay of^(32)Ar and its neighboring nuclei,produced via projectile fragmentation at the first Radioactive Ion Beam Line in Lanzhou(RIBLL1).Key measurements,including the half-life,charged-particle spectrum,andγ-ray spectrum,were obtained and compared with previous results for validation.Using the implantation–decay method,the isotopes of interest were implanted into two doublesided silicon strip detectors,where their subsequent decays were measured and correlated with preceding implantations using both position and time information.This detection system has potential for further applications,including the study ofβ-delayed charged-particle decay and direct proton emissions from even more exotic proton-rich nuclei.
基金Sponsored by the National Natural Science Foundation of China(Grant No.61271423)
文摘By exploiting the structural features of L1C messages,a novel Early Termination( ET) strategy is proposed to speed up the decoding of low-density parity-check( LDPC) codes in the GPS system. The proposed strategy is based on the cyclic redundancy check( CRC) of the messages in the subframes 2 and 3. The simulation results show that average number of iterations of the proposed strategy is less than that of the standard ET strategy,with nearly no degradation in decoding performance. Besides,the proposed ET strategy can be efficiently implemented in a sequential or parallel manner. Thus,the proposed ET strategy is attractive for practical purposes.
基金supported by the Autonomous Region Key Research and Development Plan Project[Grant No.2022BSB03064]the National Key Research and Development Program of China[grant number 2022YFD2202105-5]+1 种基金the National Natural Science Foundation of China[grant number 32260431]Science and Technology Major Projects of Autonomous Region[grant number 2022BBF01002].
文摘Fresh Lycium barbarum L.(L.barbarum)fruits are renowned for their exceptionally high nutritional value and health benefits,which is leading to an increasing demand among consumers.However,the quality testing and grading of fresh L.barbarum fruits present significant challenges that hinder the growth of the L.barbarum industry.In this study,an electrical characterization method is used to analyze the variations in electrical parameters of fresh L.barbarum fruits under different degrees of damage.Optimal testing conditions for eight electrical parameters are determined,and principal component analysis(PCA)along with partial least squares(PLS)is applied to reduce data dimensionality and extract key features.Subsequently,damage degree discrimination models are developed using the support vector machine(SVM),random forest(RF),and convolutional neural network(CNN).The experimental results indicate that the PLS-RF model was the most effective,achieving discrimination accuracies of 99.48%and 91.25%in the training and test sets,respectively.The aim of this study is to validate the feasibility of using electrical characteristics to differentiate the degree of fruit damage and it establishes a reliable model for assessing damage extent in L.barbarum fruits.This innovative approach not only provides a novel method for evaluating fruit damage but may also serve as a theoretical basis for the development of mechanical harvesting equipment for L.barbarum fruits.