This paper focuses on reducing the complexity of K-best sphere decoding （SD） algorithm for the detection of uncoded multi-ple input multiple output （MIMO） systems. The proposed algorithm utilizes the threshold-pru...This paper focuses on reducing the complexity of K-best sphere decoding （SD） algorithm for the detection of uncoded multi-ple input multiple output （MIMO） systems. The proposed algorithm utilizes the threshold-pruning method to cut nodes with partial Euclidean distances （PEDs） larger than the threshold. Both the known noise value and the unknown noise value are considered to generate the threshold, which is the sum of the two values. The known noise value is the smal est PED of signals in the detected layers. The unknown noise value is generated by the noise power, the quality of service （QoS） and the signal-to-noise ratio （SNR） bound. Simulation results show that by considering both two noise values, the proposed algorithm makes an efficient reduction while the performance drops little.展开更多
Multiple Input Multiple Output (MIMO) technology is of great significance in high data rate wireless communication. The K-Best Sphere Decoding (K-Best SD) algorithm was proposed as a powerful method for MIMO detection...Multiple Input Multiple Output (MIMO) technology is of great significance in high data rate wireless communication. The K-Best Sphere Decoding (K-Best SD) algorithm was proposed as a powerful method for MIMO detection that can approach near-optimal performance. However, some extra computational complexity is contained in K-Best SD. In this paper, we propose an improved K-Best SD to reduce the complexity of conventional K-Best SD by assigning K for each level dynamically following some rules. Simulation proves that the performance degradation of the improved K-Best SD is very little and the complexity is significantly reduced.展开更多
We propose a pipeline structure for Schnorr-Euchner sphere decoding algorithm in this article. It divides the search tree of the original algorithm into blocks and executes the search from block to block. When one blo...We propose a pipeline structure for Schnorr-Euchner sphere decoding algorithm in this article. It divides the search tree of the original algorithm into blocks and executes the search from block to block. When one block search of a signal is over, the part in the pipeline structure that processes this block search can load another signal and search. Several signals can be processed at the same time in one pipeline. Blocks are arranged to lower the whole complexity in the way that the previously search blocks are the blocks those have more probability to generate the final solution. Simulation experiment results show the average process delay can drop to the range from 48.77% to 60.18% in a 4-by-4 antenna system with 16QAM modulation, or from 30.31% to 61.59% in a 4-by-4 antenna system with 64QAM modulation.展开更多
Direct synthesis of graphene on nonmetallic substrates via chemical vapor deposition (CVD) has become a frontier research realm targeting transfer-free applications of CVD graphene.However,the stable mass production o...Direct synthesis of graphene on nonmetallic substrates via chemical vapor deposition (CVD) has become a frontier research realm targeting transfer-free applications of CVD graphene.However,the stable mass production of graphene with a favorable growth rate and quality remains a grand challenge.Herein,graphene glass fiber fabric (GGFF) was successfully developed through the controllable growth of graphene on non-catalytic glass fiber fabric,employing a synergistic binary-precursor CVD strategy to alleviate the dilemma between growth rate and quality.The binary precursors consisted of acetylene and acetone,where acetylene with high decomposition efficiency fed rapid graphene growth while oxygencontaining acetone was adopted for improving the layer uniformity and quality.Notably,the bifurcating introducing-confluent premixing (BI-CP) system was self-built for the controllable introduction of gas and liquid precursors,enabling the stable production of GGFF.GGFF features solar absorption and infrared emission properties,based on which the self-adaptive dual-mode thermal management film was developed.This film can automatically switch between heating and cooling modes by spontaneously perceiving the temperature,achieving excellent thermal management performances with heating and cooling power of~501.2 and~108.6 W m-2,respectively.These findings unlock a new strategy for the large-scale batch production of graphene materials and inspire advanced possibilities for further applications.展开更多
Jasminum sambac(jasmine flower),a world-renowned plant appreciated for its exceptional flower fragrance,is of cultural and economic importance.However,the genetic basis of its fragrance is largely unknown.Here,we pres...Jasminum sambac(jasmine flower),a world-renowned plant appreciated for its exceptional flower fragrance,is of cultural and economic importance.However,the genetic basis of its fragrance is largely unknown.Here,we present the first de novo genome assembly of J.sambac with 550.12 Mb(scaffold N50=40.10 Mb)assembled into 13 pseudochromosomes.Terpene synthase(TPS)genes associated with flower fragrance are considerably amplified in the form of gene clusters through tandem duplications in the genome.Gene clusters within the salicylic acid/benzoic acid/theobromine(SABATH)and benzylalcohol O-acetyltransferase/anthocyanin O-hydroxycinnamoyltransferases/anthranilate N-hydroxycinnamoyl/benzoyltransferase/deacetylvindoline 4-O-acetyltransferase(BAHD)superfamilies were identified to be related to the biosynthesis of phenylpropanoid/benzenoid compounds.Several key genes involved in jasmonate biosynthesis were duplicated,causing an increase in copy numbers.In addition,multi-omics analyses identified various aromatic compounds and many genes involved in fragrance biosynthesis pathways.Furthermore,the roles of JsTPS3 in b-ocimene biosynthesis,as well as JsAOC1 and JsAOS in jasmonic acid biosynthesis,were functionally validated.The genome assembled in this study for J.sambac offers a basic genetic resource for studying floral scent and jasmonate biosynthesis,and provides a foundation for functional genomic research and variety improvements in Jasminum.展开更多
The influence of out-of-plane oscillations on friction is a well-known phenomenon that has been studied extensively with various experimental methods,e.g.,pin-on-disk tribometers.However,existing theoretical models ha...The influence of out-of-plane oscillations on friction is a well-known phenomenon that has been studied extensively with various experimental methods,e.g.,pin-on-disk tribometers.However,existing theoretical models have yet achieved only qualitative correspondence with experiment.Here we argue that this may be due to the system dynamics (mass and tangential stiffness) of the pin or other system components being neglected.This paper builds on the results of a previous study [19] by taking the stiffness and resulting dynamics of the system into account.The main governing parameters determining macroscopic friction,including a dimensionless oscillation amplitude,a dimensionless sliding velocity and the relation between three characteristic frequencies (that of externally excited oscillation and two natural oscillation frequencies associated with the contact stiffness and the system stiffness) are identified.In the limiting cases of a very soft system and a very stiff system,our results reproduce the results of previous studies.In between these two limiting cases there is also a resonant case,which is studied here for the first time.The resonant case is notable in that it lacks a critical sliding velocity,above which oscillations no longer reduce friction.Results obtained for the resonant case are qualitatively supported by experiments.展开更多
基金supported by the National Natural Science Foundation of China(61071083)
文摘This paper focuses on reducing the complexity of K-best sphere decoding （SD） algorithm for the detection of uncoded multi-ple input multiple output （MIMO） systems. The proposed algorithm utilizes the threshold-pruning method to cut nodes with partial Euclidean distances （PEDs） larger than the threshold. Both the known noise value and the unknown noise value are considered to generate the threshold, which is the sum of the two values. The known noise value is the smal est PED of signals in the detected layers. The unknown noise value is generated by the noise power, the quality of service （QoS） and the signal-to-noise ratio （SNR） bound. Simulation results show that by considering both two noise values, the proposed algorithm makes an efficient reduction while the performance drops little.
文摘Multiple Input Multiple Output (MIMO) technology is of great significance in high data rate wireless communication. The K-Best Sphere Decoding (K-Best SD) algorithm was proposed as a powerful method for MIMO detection that can approach near-optimal performance. However, some extra computational complexity is contained in K-Best SD. In this paper, we propose an improved K-Best SD to reduce the complexity of conventional K-Best SD by assigning K for each level dynamically following some rules. Simulation proves that the performance degradation of the improved K-Best SD is very little and the complexity is significantly reduced.
文摘We propose a pipeline structure for Schnorr-Euchner sphere decoding algorithm in this article. It divides the search tree of the original algorithm into blocks and executes the search from block to block. When one block search of a signal is over, the part in the pipeline structure that processes this block search can load another signal and search. Several signals can be processed at the same time in one pipeline. Blocks are arranged to lower the whole complexity in the way that the previously search blocks are the blocks those have more probability to generate the final solution. Simulation experiment results show the average process delay can drop to the range from 48.77% to 60.18% in a 4-by-4 antenna system with 16QAM modulation, or from 30.31% to 61.59% in a 4-by-4 antenna system with 64QAM modulation.
基金National Natural Science Foundation of China (52272032, T2188101, and 52021006)Beijing Nova Program of Science and Technology (20220484079)。
文摘Direct synthesis of graphene on nonmetallic substrates via chemical vapor deposition (CVD) has become a frontier research realm targeting transfer-free applications of CVD graphene.However,the stable mass production of graphene with a favorable growth rate and quality remains a grand challenge.Herein,graphene glass fiber fabric (GGFF) was successfully developed through the controllable growth of graphene on non-catalytic glass fiber fabric,employing a synergistic binary-precursor CVD strategy to alleviate the dilemma between growth rate and quality.The binary precursors consisted of acetylene and acetone,where acetylene with high decomposition efficiency fed rapid graphene growth while oxygencontaining acetone was adopted for improving the layer uniformity and quality.Notably,the bifurcating introducing-confluent premixing (BI-CP) system was self-built for the controllable introduction of gas and liquid precursors,enabling the stable production of GGFF.GGFF features solar absorption and infrared emission properties,based on which the self-adaptive dual-mode thermal management film was developed.This film can automatically switch between heating and cooling modes by spontaneously perceiving the temperature,achieving excellent thermal management performances with heating and cooling power of~501.2 and~108.6 W m-2,respectively.These findings unlock a new strategy for the large-scale batch production of graphene materials and inspire advanced possibilities for further applications.
基金We thank Novogene for genome sequencing and assembly.We thank Dr.Feng Cheng for his comments on our manuscript.This work was supported by the Elite Young Scientists Program of Chinese Academy of Agricultural Sciences(CAAS),the Agricultural Science and Technology Innovation Program in China and self-raised funds.
文摘Jasminum sambac(jasmine flower),a world-renowned plant appreciated for its exceptional flower fragrance,is of cultural and economic importance.However,the genetic basis of its fragrance is largely unknown.Here,we present the first de novo genome assembly of J.sambac with 550.12 Mb(scaffold N50=40.10 Mb)assembled into 13 pseudochromosomes.Terpene synthase(TPS)genes associated with flower fragrance are considerably amplified in the form of gene clusters through tandem duplications in the genome.Gene clusters within the salicylic acid/benzoic acid/theobromine(SABATH)and benzylalcohol O-acetyltransferase/anthocyanin O-hydroxycinnamoyltransferases/anthranilate N-hydroxycinnamoyl/benzoyltransferase/deacetylvindoline 4-O-acetyltransferase(BAHD)superfamilies were identified to be related to the biosynthesis of phenylpropanoid/benzenoid compounds.Several key genes involved in jasmonate biosynthesis were duplicated,causing an increase in copy numbers.In addition,multi-omics analyses identified various aromatic compounds and many genes involved in fragrance biosynthesis pathways.Furthermore,the roles of JsTPS3 in b-ocimene biosynthesis,as well as JsAOC1 and JsAOS in jasmonic acid biosynthesis,were functionally validated.The genome assembled in this study for J.sambac offers a basic genetic resource for studying floral scent and jasmonate biosynthesis,and provides a foundation for functional genomic research and variety improvements in Jasminum.
文摘The influence of out-of-plane oscillations on friction is a well-known phenomenon that has been studied extensively with various experimental methods,e.g.,pin-on-disk tribometers.However,existing theoretical models have yet achieved only qualitative correspondence with experiment.Here we argue that this may be due to the system dynamics (mass and tangential stiffness) of the pin or other system components being neglected.This paper builds on the results of a previous study [19] by taking the stiffness and resulting dynamics of the system into account.The main governing parameters determining macroscopic friction,including a dimensionless oscillation amplitude,a dimensionless sliding velocity and the relation between three characteristic frequencies (that of externally excited oscillation and two natural oscillation frequencies associated with the contact stiffness and the system stiffness) are identified.In the limiting cases of a very soft system and a very stiff system,our results reproduce the results of previous studies.In between these two limiting cases there is also a resonant case,which is studied here for the first time.The resonant case is notable in that it lacks a critical sliding velocity,above which oscillations no longer reduce friction.Results obtained for the resonant case are qualitatively supported by experiments.
