基于Hamming距离和量子搜索算法的联想分类器设计

针对现有联想分类器不能存储重复样本的问题,提出一种基于Hamming距离和量子搜索算法的量子联想分类器设计方法,并给出联想分类器存储和分类的线路图.该方法需提前准备5组量子比特,分别对Hamming距离、输入样本、模式样本、类别和序号进行编码.首先,根据样本总体N,计算联想分类器所需的量子位数,再利用量子旋转门和Hadamard门将初态为|0〉的量子位旋转为恰好包含N个基态的均衡叠加态;其次,根据待存储样本的类别和值,将剩余两组初始状态为|0〉的量子位通过可控操作转换为相应的量子基态;最后,基于量子最小搜索的分类方法,计算输入样本与所有存储样本之间的Ha mming距离,再使用固定相位Grover量子搜索算法搜索这些Hamming距离的最小值,最小值对应存储样本的类别即为输入样本的类别,具体的分类结果可通过测量寄存器中的量子态得到.

Dynamic changes in physicochemical property,biogenic amines content and microbial diversity during the fermentation of Sanchuan ham

Sanchuan ham is appreciated in Yunnan Province,China,for its characteristic flavor and taste,while the microbial community structure and biogenic amines content remain unclear during fermentation processes.In this study,we explored the physicochemical property,biogenic amines concentration and microbial diversity of external and internal Sanchuan ham by high-throughput sequencing during the processing of Sanchuan ham.Results showed that the nitrite remained at a stable level of 0.15 mg/kg which was significantly lower than the national health standard safety level of 20 mg/kg.In addition,compared with fresh hams,the content of total free amino acids in ripe Sanchuan ham has grown 14 folds;sour and bitter were the main tastes of Sanchuan ham.Notably,the concentration of cadaverine was the highest of all biogenic amines during the entire fermentation period.At the bacterial phyla level,Firmicutes and Actinobacteria were the two main phyla,while at the genus level,Staphylococcus was a significant strain throughout the whole fermentation.Moreover,the dry stage has a great impact on the succession change of microbial community structure.Simultaneously,the change trends and composition of bacteria in the interior have slight discrepancies with those of the exterior of Sanchuan ham.

融合非负正弦位置编码和混合注意力机制的情感分析模型

针对情感分析任务中,序列模型存在难以获取文本的相对位置信息,且处理较长序列时容易丢失关键信息等问题,提出了一种融合非负正弦位置编码(non-negative sinusoidal position encoding,NSPE)和混合注意力机制(hybrid attention mechanism,HAM)的双向长短期记忆网络(bi-directional long short-term memory,Bi-LSTM)情感分析模型(NSPEHA-BiLSTM)。提出NSPE方法,建立词语的NSPE,为词向量融入相对位置信息;通过Bi-LSTM提取文本特征,并基于HAM分别对特征的全局和局部特征进行赋权,确保关键信息的准确传递;通过全连接层实现文本情感分析。在IMDB数据集中,NSPEA-BiLSTM相较于Bi-LSTM和Text-CNN准确率分别提升了4.67和2.02个百分点,且输入的文本长度越长,模型效果越好,同时验证了NSPE优于其他位置编码。

基于K-Means聚类的粒子群优化CNN-BiGRU-HAM发动机剩余使用寿命预测方法

飞机在多种工况条件下运行时,发动机退化特征复杂性不断增加,导致发动机剩余寿命预测精度低。针对此问题,提出一种基于聚类分析的端到端剩余寿命(RUL)预测方法。采用K-Means聚类方法对发动机的多种工况和运行条件进行分组;再利用卷积神经网络(CNN)提取反映剩余寿命复杂动态变化的高维特征,将结果输入到双向门控循环单元(BiGRU)中学习特征之间的变化规律,设计并引入了新的混合注意力机制(HAM),充分考虑变量之间的关系,对重要特征信息赋予更大的权重,同时抑制冗余信息的影响;然后进行非线性变换,获得RUL预测结果;最后使用粒子群优化算法对神经网络的超参数进行调优。采用美国航天局NASA研究中心提供的涡轮发动机模拟数据集验证所提网络模型的有效性。结果表明:对于多工况运行条件,所提方法的均方根误差相比于CNN、LSTM、BiLSTM、CNN-LSTM分别降低了49.2%、37.1%、33.6%、24.8%,有效提升了模型的预测精度。

Spatial Coded Modulation:Coding over Antennas

In spatial modulation systems,the reliability of the active antenna detection is of vital importance since the modulated symbols tend to be correctly demodulated when the active antennas are accurately identified.In this paper,we propose a spatial coded modulation(SCM)scheme,which improves the accuracy of the active antenna detection by coding over the transmit antennas.Specifically,the antenna activation pattern in the SCM corresponds to a codeword in a properly designed codebook with a larger minimum Hamming distance than the conventional spatial modulation.As the minimum Hamming distance increases,the reliability of the active antenna detection is directly enhanced,which yields a better system reliability.In addition to the reliability,the proposed SCM scheme also achieves a higher capacity with the identical antenna configuration compared to the conventional counterpart.The optimal maximum likelihood detector is first formulated.Then,a low-complexity suboptimal detector is proposed to reduce the computational complexity.Theoretical derivations of the channel capacity and the bit error rate are presented in various channel scenarios.Further derivation on performance bounding is also provided to reveal the insight of the benefit of increasing the minimum Hamming distance.Numerical results validate the analysis and demonstrate that the proposed SCM outperforms the conventional spatial modulation techniques in both channel capacity and system reliability.

Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets

In this article,multiple attribute decision-making problems are solved using the vague normal set(VNS).It is possible to generalize the vague set(VS)and q-rung fuzzy set(FS)into the q-rung vague set(VS).A log q-rung normal vague weighted averaging(log q-rung NVWA),a log q-rung normal vague weighted geometric(log q-rung NVWG),a log generalized q-rung normal vague weighted averaging(log Gq-rung NVWA),and a log generalized q-rungnormal vagueweightedgeometric(logGq-rungNVWG)operator are discussed in this article.Adescription is provided of the scoring function,accuracy function and operational laws of the log q-rung VS.The algorithms underlying these functions are also described.A numerical example is provided to extend the Euclidean distance and the Humming distance.Additionally,idempotency,boundedness,commutativity,and monotonicity of the log q-rung VS are examined as they facilitate recognizing the optimal alternative more quickly and help clarify conceptualization.We chose five anemia patients with four types of symptoms including seizures,emotional shock or hysteria,brain cause,and high fever,who had either retrograde amnesia,anterograde amnesia,transient global amnesia,post-traumatic amnesia,or infantile amnesia.Natural numbers q are used to express the results of the models.To demonstrate the effectiveness and accuracy of the models we are investigating,we compare several existing models with those that have been developed.

Stability and transepithelial transport of oligopeptide(KRQKYD)with hepatocyte-protective activity from Jinhua ham in human intestinal Caco-2 monolayer cells

The study evaluated the stability of an oligopeptide(Lys-Arg-Gln-Lys-Tyr-Asp,KRQKYD)and its transport mechanism by simulating gastrointestinal digestion and a model of human intestinal Caco-2 monolayer cells in vitro.In this study,the effects of environmental factors(temperature,pH and NaCl concentration)and simulated gastrointestinal digestion on the stability of KRQKYD were evaluated by indicators of the levels of alanine transaminase(ALT),aspartate transaminase(AST)and malondialdehyde(MDA)in an alcoholinduced hepatocyte injury model.The results showed that KRQKYD still maintained satisfactory hepatocyteprotective activity after treatment with different temperatures(20-80℃),pH(3.0-9.0),NaCl concentration(1%-7%)and simulated gastrointestinal digestion,which indicated that KRQKYD showed good stability to environmental factors and simulated gastrointestinal digestion.Furthermore,the intact KRQKYD could be absorbed in a model of Caco-2 monolayer cells with a P_(app)value of(9.70±0.53)×10^(-7)cm/s.Pretreatment with an energy inhibitor(sodium azide),a competitive peptide transporter inhibitor(Gly-Pro)and a transcytosis inhibitor wortmannin did not decrease the level of transepithelial KRQKYD transport,indicating that the transport mechanism of KRQKYD was not associated with energy dependent,vector mediated and endocytosis.The tight junction disruptor cytochalasin D significantly increased the level of transepithelial KRQKYD transport(P<0.05),suggesting that intact KRQKYD was absorbed by paracellular transport.

Effects of potassium lactate on sensory attributes,bacterial community succession and biogenic amines formation in Rugao ham

To deepen the understanding in the effect of potassium lactate on the sensory quality and safety of Rugao ham,sensory attributes,physicochemical parameters,total volatile basic nitrogen(TVBN),microorganism community and biogenic amines of Rugao ham manufactured with different potassium lactate levels(0%,0.5%,1%,2%)were investigated;the relationship between microbial community and the formation of TVBN and biogenic amines was further evaluated.With the increase of potassium lactate from 0%to 2%,the increased sensory scores and the decreased total aerobic bacterial count and TVBN were observed;the abundance of Staphylococcus increased,while the content of Halomonas decreased.LDA effect size(LEf Se)and correlations analysis showed that Staphylococcus equorum and Lactobacillus fermentum could be the key species to improve sensory scores and decrease biogenic amines and TVBN.Metabolic pathway analysis further showed that amino acids metabolism and nitrogen metabolism were mainly involved in decreasing TVBN and biogenic amines in the treatment of 2%potassium lactate.

Variation of microbiological and small molecule metabolite profiles of Nuodeng ham during ripening by high-throughput sequencing and GC-TOF-MS

The internal microbial diversity and small molecular metabolites of Nuodeng ham in different processing years(the first,second and third year sample)were analyzed by high-throughput sequencing technology and gas chromatography-time of flight mass spectrography(GC-TOF-MS)to study the effects of microorganisms and small molecular metabolites on the quality of ham in different processing years.The results showed that the dominant bacteria phyla of Nuodeng ham in different processing years were Proteobacteria and Firmicutes,the dominant fungi phyla were Ascomycota and Basidiomycota,while Staphylococcus and Aspergillus were the dominant bacteria and fungi of Nuodeng ham,respectively.Totally,252 kinds of small molecular metabolites were identified from Nuodeng ham in different processing years,and 12 different metabolites were screened through multivariate statistical analysis.Further metabolic pathway analysis showed that 23 metabolic pathways were related to ham fermentation,of which 8 metabolic pathways had significant effects on ham fermentation(Impact>0.01,P<0.05).The content of L-proline,phenyllactic acid,L-lysine,carnosine,taurine,D-proline,betaine and creatine were significantly positively correlated with the relative abundance of Staphylococcus and Serratia,but negatively correlated with the relative abundance of Halomonas,Aspergillus and Yamadazyma.

基于双Hamming的NURBS曲线插补算法

针对传统非均匀有理B样条(NURBS)曲线插补中,由于理想插补步长和实际插补步长误差较大引起速度波动的问题,提出一种基于双Hamming的NURBS曲线插补算法。推导差分和导数定义分别变换Hamming方法,得到插补参数的预估、校正公式,再判断校正公式所得插补参数值是否满足速度波动率要求,满足则可继续进行插补,否则利用密勒-牛顿迭代公式对插补参数值进行迭代校正。使用四阶Runge-Kutta方法对初始两插补参数进行求解,并推导插补数值方法关于插补周期的稳定性约束条件。最后对该算法进行仿真,仿真结果表明该算法相较于二阶Taylor、四阶R-K和Adams隐显预估校正算法,平均速度波动率减少30.54%~65.57%,迭代次数减少1.23%~13.12%,证明了该算法在保证较小迭代次数的同时减少了进给速度波动率。

一种混合型数据的分布差异检验方法

针对两个独立的既含数值型分量又含分类型分量的混合型随机向量,通过对其中的分类变量引入虚拟向量,将原始的混合型随机向量转换成纯数值型随机向量,再利用转换后的两个数值型向量的能量距离,构造出检验混合型随机向量分布差异的一种简便方法.该方法相当于将普通能量距离中的欧氏距离换成欧氏距离与Hamming距离的混合距离.模拟实验与实例数据分析说明,新方法能在控制第一类错误的同时很好地鉴别两个混合型向量的分布差异,与已有的基于混合核方法的检验相比,新方法不受混合向量中数值型分量的维数影响,从而在一定程度上扩充了能量距离的应用范畴.

输电线路视频可视化监测技改项目效益智能化评估模型

为了有效评估输电线路视频可视化监测技改项目效益,设计输电线路视频可视化监测技改项目效益智能化评估模型。应用分析法建立技改项目效益智能化评估指标体系,主要包含效益量化、投入产出比、未来成本等3个一级指标;利用模糊Hamming网络建立评估模型,并确定模型的网络结构;在模型中,输入评估指标体系,不断优化网络权值,经过学习和训练,输出技改项目效益智能化评估结果。实验结果证明,该模型评估指标的Cronbach’sα系数较高,约为0.92,说明评估指标内部一致性与可靠性较高;应用该模型后可有效提升技改项目的效益,降低检修成本、故障损失成本与报废成本。

Evaluation and selection of yeasts as potential aroma enhancers for the production of dry-cured ham

Yeasts play a critical role in the flavor formation of dry-cured ham.In this study,41 yeast isolates from the dry-cured ham at different processing stages were evaluated for their technological properties.Debaryomyces hansenii was the most dominant yeast and has been detected at each phase of dry-cured ham,followed by Candida zeylanoides which was mainly detected in salting phase.Yarrowia bubula and Yarrowia alimentaria were found at the first two-phase of dry-cured ham.All isolates of yeast showed enzymatic activities against milk protein and tributyrin,while only 4 strains displayed proteolytic activity on meat protein.Yeast strains were grown in a meat model medium and volatile compounds were identified.The result showed that inoculated yeast strains could promote the production of volatiles and there were significant differences among strains.D.hansenii S25 showed the highest production of volatile compounds,followed by the strain C.zeylanoides C4.D.hansenii S25 was the highest producer of alcohols showing the highest production of benzeneethanol and 3-(methylthio)-1-propanol.Based on OAV and PLS analysis,D.hansenii S25 was strongly correlated with overall flavor and key volatile compounds of dry-cured ham,which could be selected as potential starter cultures.

Influence of Thermophoresis and Brownian Motion of Nanoparticles on Radiative Chemically-Reacting MHD Hiemenz Flow over a Nonlinear Stretching Sheet with Heat Generation

In this study,a radiative MHD stagnation point flow over a nonlinear stretching sheet incorporating thermophoresis and Brownian motion is considered.Using a similarity method to reshape the underlying Partial differential equations into a set of ordinary differential equations(ODEs),the implications of heat generation,and chemical reaction on the flow field are described in detail.Moreover a Homotopy analysis method(HAM)is used to interpret the related mechanisms.It is found that an increase in the magnetic and velocity exponent parameters can damp the fluid velocity,while thermophoresis and Brownian motion promote specific thermal effects.The results also demonstrate that as the Brownian motion parameter is increased,the concentration values become smaller.

基于改进小波函数的虹膜识别算法

小波包分解变换作为传统小波变换方法的延展,能够实现更精细的分解并得到更多小波包子图。基于此方法,提出一种改进的虹膜识别算法。该方法先对虹膜内外边缘进行定位和归一化,再通过小波包分解得到小波包子图,计算每个子图的系数得到虹膜特征向量,最终根据不同子图计算两幅虹膜图像对应特征向量的Hamming距离。通过实验仿真,表明由加权Hamming距离分类器来识别计算的系数能有效提升虹膜的识别精度。

空气层对多层墙体热、空气、湿耦合传递性能的影响

为了定量评估附加空气隔层的多层墙体受到压差影响的动态变化和温湿度分布,通过连续驱动势作为边界条件,建立多层墙体各物理场耦合非稳态传递的PDE方程。通过新建模型与COMSOL软件既有物理场接口的对比,验证模型的可行性。与COMSOL软件既有接口相比,新建模型的计算效率与可扩展性得到改善。

Influences of double diffusion upon radiative flow of thin film Maxwell fluid through a stretching channel

This work explores the influence of double diffusion over thermally radiative flow of thin film hybrid nanofluid and irreversibility generation through a stretching channel.The nanoparticles of silver and alumina have mixed in the Maxwell fluid(base fluid).Magnetic field influence has been employed to channel in normal direction.Equations that are going to administer the fluid flow have been converted to dimension-free notations by using appropriate variables.Homotopy analysis method is used for the solution of the resultant equations.In this investigation it has pointed out that motion of fluid has declined with growth in magnetic effects,thin film thickness,and unsteadiness factor.Temperature of fluid has grown up with upsurge in Brownian motion,radiation factor,and thermophoresis effects,while it has declined with greater values of thermal Maxwell factor and thickness factor of the thin film.Concentration distribution has grown up with higher values of thermophoresis effects and has declined for augmentation in Brownian motion.

A Unified Bit-to-Symbol Mapping for Generalized Constellation Modulation

Gray mapping is a well-known way to improve the performance of regular constellation modulation,but it is challenging to be applied directly for irregular alternative.To address this issue,in this paper,a unified bit-to-symbol mapping method is designed for generalized constellation modulation(i.e.,regular and irregular shaping).The objective of the proposed approach is to minimize the average bit error probability by reducing the hamming distance(HD)of symbols with larger values of pairwise error probability.Simulation results show that the conventional constellation modulation(i.e.,phase shift keying and quadrature amplitude modulation(QAM)with the proposed mapping rule yield the same performance as that of classical gray mapping.Moreover,the recently developed golden angle modulation(GAM)with the proposed mapping method is capable of providing around1 d B gain over the conventional mapping counterpart and offers comparable performance to QAM with Gray mapping.

基于加权Gabor滤波器的虹膜识别

为了有效地提高虹膜识别系统的识别率,对Gabor滤波器进行了研究,并提出了基于层次分析法的加权Hamming距离的虹膜识别方法。首先,用不同尺度和方向的奇对称Gabor滤波器对归一化后的虹膜滤波生成特征图像;然后,对特征图像进行Hamming距离匹配得到不同滤波器的正确识别率和等错率,根据鉴别能力,选取合适的尺度和方向进行加权Hamming距离计算,其权值用层次分析法计算;最后,利用加权后的距离进行识别。其中CASIA2.0和MMU1图像库的等错率分别降低了0.64%和0.56%。实验结果表明:本文方法具有很好的识别性能和鲁棒性。

粗糙集-神经网络集成的WSN节点故障诊断

提出一种粗糙集?神经网络集成的无线传感器网络(WSN)节点故障诊断新方法。根据无线传感器网络的应用环境和故障特征得到诊断决策表,利用改进的粗糙集中的归纳属性约简算法对诊断决策表进行属性约简,用Hamming网络建立一套故障分类的方法。仿真实验结果显示,该诊断算法在进行WSN节点故障诊断时,诊断准确性高,通信代价小,能耗低,鲁棒性高。