This paper presents an evaluation method for the entropy-weighting of wind power clusters that comprehensively evaluates the allocation problems of wind power clusters by considering the correlation between indicators...This paper presents an evaluation method for the entropy-weighting of wind power clusters that comprehensively evaluates the allocation problems of wind power clusters by considering the correlation between indicators and the dynamic performance of weight changes.A dynamic layered sorting allocation method is also proposed.The proposed evaluation method considers the power-limiting degree of the last cycle,the adjustment margin,and volatility.It uses the theory of weight variation to update the entropy weight coefficients of each indicator in real time,and then performs a fuzzy evaluation based on the membership function to obtain intuitive comprehensive evaluation results.A case study of a large-scale wind power base in Northwest China was conducted.The proposed evaluation method is compared with fixed-weight entropy and principal component analysis methods.The results show that the three scoring trends are the same,and that the proposed evaluation method is closer to the average level of the latter two,demonstrating higher accuracy.The proposed allocation method can reduce the number of adjustments made to wind farms,which is significant for the allocation and evaluation of wind power clusters.展开更多
A multi-parameter signal sorting algorithm for interleaved radar pulses in dense emitter environment is presented. The algorithm includes two parts, pulse classification and pulse repetition interval （PRI） analysis....A multi-parameter signal sorting algorithm for interleaved radar pulses in dense emitter environment is presented. The algorithm includes two parts, pulse classification and pulse repetition interval （PRI） analysis. Firstly, we propose the dynamic distance clustering （DDC） for classification. In the clustering algorithm, the multi-dimension features of radar pulse are used for reliable classification. The similarity threshold estimation method in DDC is derived, which contributes to the efficiency of the algorithm. However, DDC has large computation with many signal pulses. Then, in order to sort radar signals in real time, the improved DDC （IDDC） algorithm is proposed. Finally, PRI analysis is adopted to complete the process of sorting. The simulation experiments and hardware implementations show both algorithms are effective.展开更多
The collected spikes from extracellular recordings usually contain noisy data and outliers, which make it difficult to separate them. A method for spike sorting based on robust clustering is proposed to deal with the ...The collected spikes from extracellular recordings usually contain noisy data and outliers, which make it difficult to separate them. A method for spike sorting based on robust clustering is proposed to deal with the problem. The clustering method combines the advantage of fuzzy clustering and robust statistical estimators. The number of dusters is obtained by fuzzy cluster validity. In order to reduce the influence of outliers, the validity index is calculated using the weighting intra-cluster distances. The proposed method is suitable to separate neural spikes in the presence of noisy data and outfiers. The experiment on real data shows its performance.展开更多
A new file assignment strategy of parallel I/O, which is named heuristic file sorted assignment algorithm was proposed on cluster computing system. Based on the load balancing, it assigns the files to the same disk ac...A new file assignment strategy of parallel I/O, which is named heuristic file sorted assignment algorithm was proposed on cluster computing system. Based on the load balancing, it assigns the files to the same disk according to the similar service time. Firstly, the files were sorted and stored at the set I in descending order in terms of their service time, then one disk of cluster node was selected randomly when the files were to be assigned, and at last the continuous files were taken orderly from the set I to the disk until the disk reached its load maximum. The experimental results show that the new strategy improves the performance by 20.2% when the load of the system is light and by 31.6% when the load is heavy. And the higher the data access rate, the more evident the improvement of the performance obtained by the heuristic file sorted assignment algorithm.展开更多
Our recent coarse-grained (CG) molecular dynamics (MD) simulations of membranes with a hemifused-ribbon (λ-shaped) geometry showed curvature-driven demixing leading to enrich ment in dioleoyl-phosphatidylethanolamine...Our recent coarse-grained (CG) molecular dynamics (MD) simulations of membranes with a hemifused-ribbon (λ-shaped) geometry showed curvature-driven demixing leading to enrich ment in dioleoyl-phosphatidylethanolamine (DOPE) in a negatively-curved region (at C = –0.8 nm–1) of a DOPE/dipalmitoyl-phosphati-dylcholine (DPPC) membrane. Here we extend the analysis with respect to lipid composition and simulation time. Simulations of 12 – 20 μs effective time show that, compared with DOPE of the DOPE/DPPC system, a DPPC/dilinoleyl-PC [di(18:2)PC] membrane showed a similar degree of enrichment of di(18:2)PC in the curved region with C=–0.8 nm–1. For the latter mixture, even weak negative curvatures (C=–0.5 – 0.6 nm–1) caused significant degrees of di(18:2)PC enrichment. In agreement with recent studies of a planar bilayer, a ternary DPPC/ di(18:2)PC/cholesterol 0.42:0.28:0.3 mixture phase-separated into nanoscale raft-like liquid-ordered (Lo) and non-raft liquid-disordered (Ld) phases on a sub-microsecond time scale. The Lo domains were preferentially localized at planar portions, whereas the Ld domains were positioned mainly in curved regions of the membrane. Unlike binary dioleoylphosphatidylcho-line (DOPC)/cholesterol and DPPC/cholesterol mixtures, which showed only a slight enrich ment of cholesterol in the curved region, the ternary mixtures showed considerable migra tion of cholesterol and DPPC from the curved to the planar region. A pronounced degree of lipid segregation due to the preferential distribution of the Ld and Lo domains in the curved and planar regions, respectively, was observed even when the curvature of the fused monolayers (originally ‘cis’ leaflets) was weakened (C= –0.5 nm-1). Overall, the results are consistent with theoretical predictions based on spontaneous curvature of the constituent lipids and the difference in rigidity between the Ld and Lo domains, whereas lipid-lipid interactions, such as PE-PE or DPPC-cholesterol, as well as propensity for interleaflet colocalization (registration) of the Lo and Ld domains appear to significantly amplify curvature-induced lipid demixing in the λ system. Intriguingly, for the DPPC/ di(18:2)PC/cholesterol ternary mixtures, a Lo/Ld domain boundary often moved to the branched point of the membrane, suggesting enhanced flexibility at the domain boundary. We hypothesize that curvature-driven lipid sorting and energetically favored localization of domain boundaries at sharp bends in the membranes may collaborate to assist intracellular lipid sorting.展开更多
为有效降低退役动力电池梯次利用寿命损耗,提高电池模组运行过程中功能状态的一致性,本工作提出了考虑电池能量状态(state of energy,SOE)、健康状态(state of health,SOH)及功率状态(state of power,SOP)的多状态耦合的电池模组分选方...为有效降低退役动力电池梯次利用寿命损耗,提高电池模组运行过程中功能状态的一致性,本工作提出了考虑电池能量状态(state of energy,SOE)、健康状态(state of health,SOH)及功率状态(state of power,SOP)的多状态耦合的电池模组分选方法。首先,提取退役动力电池基本电性能参数(如容量、电压、内阻等),建立了电池模组SOE、SOH及SOP多状态耦合表征模型;其次,估计电池模组SOE特性,预测梯次利用电池模组SOH一致性,采用改进K-means聚类算法对电池模组进行了第一阶段的动态分选。最后,建立了电池模组耦合多参量的SOP表征模型,估计了电池模组中电池之间SOP偏差,对电池模组进行了第二阶段的动态分选。通过仿真算例分析验证该方法有效提高了退役动力电池梯次利用过程中模组的一致性,降低了系统运行的寿命损耗,为梯次利用储能大规模应用提供理论基础。展开更多
针对雷达信号分选过程依赖先验知识、参数适配调优困难等问题,提出一种基于自约束搜索密度聚类的参数自适应信号分选方法。该方法在点序识别聚类结构(ordering points to identify the clustering structure,OPTICS)算法生成可达距离序...针对雷达信号分选过程依赖先验知识、参数适配调优困难等问题,提出一种基于自约束搜索密度聚类的参数自适应信号分选方法。该方法在点序识别聚类结构(ordering points to identify the clustering structure,OPTICS)算法生成可达距离序列的基础上,引入一种启发式的自约束搜索机制,该机制能够自动分析数据集的内在结构,根据其数据特性自适应划分簇。通过自动调整超参数,该算法能够有效处理不同参数分布的脉冲描述字(pulse description word,PDW)数据。仿真实验表明,在无先验知识依赖情况下,所提算法在雷达信号的分选准确率和抗干扰能力方面均优于传统方法,干扰脉冲比例不高于60%的复杂电磁环境中雷达信号分选准确率达到98%以上。展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52076038,U22B20112,No.52106238)the Fundamental Research Funds for Central Universities(No.423162,B230201051).
文摘This paper presents an evaluation method for the entropy-weighting of wind power clusters that comprehensively evaluates the allocation problems of wind power clusters by considering the correlation between indicators and the dynamic performance of weight changes.A dynamic layered sorting allocation method is also proposed.The proposed evaluation method considers the power-limiting degree of the last cycle,the adjustment margin,and volatility.It uses the theory of weight variation to update the entropy weight coefficients of each indicator in real time,and then performs a fuzzy evaluation based on the membership function to obtain intuitive comprehensive evaluation results.A case study of a large-scale wind power base in Northwest China was conducted.The proposed evaluation method is compared with fixed-weight entropy and principal component analysis methods.The results show that the three scoring trends are the same,and that the proposed evaluation method is closer to the average level of the latter two,demonstrating higher accuracy.The proposed allocation method can reduce the number of adjustments made to wind farms,which is significant for the allocation and evaluation of wind power clusters.
基金supported by the National Defense Pre-research Fund of China under Grant No 41101030401
文摘A multi-parameter signal sorting algorithm for interleaved radar pulses in dense emitter environment is presented. The algorithm includes two parts, pulse classification and pulse repetition interval （PRI） analysis. Firstly, we propose the dynamic distance clustering （DDC） for classification. In the clustering algorithm, the multi-dimension features of radar pulse are used for reliable classification. The similarity threshold estimation method in DDC is derived, which contributes to the efficiency of the algorithm. However, DDC has large computation with many signal pulses. Then, in order to sort radar signals in real time, the improved DDC （IDDC） algorithm is proposed. Finally, PRI analysis is adopted to complete the process of sorting. The simulation experiments and hardware implementations show both algorithms are effective.
基金National Natural Science Foundation of China(No.60375039)
文摘The collected spikes from extracellular recordings usually contain noisy data and outliers, which make it difficult to separate them. A method for spike sorting based on robust clustering is proposed to deal with the problem. The clustering method combines the advantage of fuzzy clustering and robust statistical estimators. The number of dusters is obtained by fuzzy cluster validity. In order to reduce the influence of outliers, the validity index is calculated using the weighting intra-cluster distances. The proposed method is suitable to separate neural spikes in the presence of noisy data and outfiers. The experiment on real data shows its performance.
文摘A new file assignment strategy of parallel I/O, which is named heuristic file sorted assignment algorithm was proposed on cluster computing system. Based on the load balancing, it assigns the files to the same disk according to the similar service time. Firstly, the files were sorted and stored at the set I in descending order in terms of their service time, then one disk of cluster node was selected randomly when the files were to be assigned, and at last the continuous files were taken orderly from the set I to the disk until the disk reached its load maximum. The experimental results show that the new strategy improves the performance by 20.2% when the load of the system is light and by 31.6% when the load is heavy. And the higher the data access rate, the more evident the improvement of the performance obtained by the heuristic file sorted assignment algorithm.
文摘Our recent coarse-grained (CG) molecular dynamics (MD) simulations of membranes with a hemifused-ribbon (λ-shaped) geometry showed curvature-driven demixing leading to enrich ment in dioleoyl-phosphatidylethanolamine (DOPE) in a negatively-curved region (at C = –0.8 nm–1) of a DOPE/dipalmitoyl-phosphati-dylcholine (DPPC) membrane. Here we extend the analysis with respect to lipid composition and simulation time. Simulations of 12 – 20 μs effective time show that, compared with DOPE of the DOPE/DPPC system, a DPPC/dilinoleyl-PC [di(18:2)PC] membrane showed a similar degree of enrichment of di(18:2)PC in the curved region with C=–0.8 nm–1. For the latter mixture, even weak negative curvatures (C=–0.5 – 0.6 nm–1) caused significant degrees of di(18:2)PC enrichment. In agreement with recent studies of a planar bilayer, a ternary DPPC/ di(18:2)PC/cholesterol 0.42:0.28:0.3 mixture phase-separated into nanoscale raft-like liquid-ordered (Lo) and non-raft liquid-disordered (Ld) phases on a sub-microsecond time scale. The Lo domains were preferentially localized at planar portions, whereas the Ld domains were positioned mainly in curved regions of the membrane. Unlike binary dioleoylphosphatidylcho-line (DOPC)/cholesterol and DPPC/cholesterol mixtures, which showed only a slight enrich ment of cholesterol in the curved region, the ternary mixtures showed considerable migra tion of cholesterol and DPPC from the curved to the planar region. A pronounced degree of lipid segregation due to the preferential distribution of the Ld and Lo domains in the curved and planar regions, respectively, was observed even when the curvature of the fused monolayers (originally ‘cis’ leaflets) was weakened (C= –0.5 nm-1). Overall, the results are consistent with theoretical predictions based on spontaneous curvature of the constituent lipids and the difference in rigidity between the Ld and Lo domains, whereas lipid-lipid interactions, such as PE-PE or DPPC-cholesterol, as well as propensity for interleaflet colocalization (registration) of the Lo and Ld domains appear to significantly amplify curvature-induced lipid demixing in the λ system. Intriguingly, for the DPPC/ di(18:2)PC/cholesterol ternary mixtures, a Lo/Ld domain boundary often moved to the branched point of the membrane, suggesting enhanced flexibility at the domain boundary. We hypothesize that curvature-driven lipid sorting and energetically favored localization of domain boundaries at sharp bends in the membranes may collaborate to assist intracellular lipid sorting.
文摘为有效降低退役动力电池梯次利用寿命损耗,提高电池模组运行过程中功能状态的一致性,本工作提出了考虑电池能量状态(state of energy,SOE)、健康状态(state of health,SOH)及功率状态(state of power,SOP)的多状态耦合的电池模组分选方法。首先,提取退役动力电池基本电性能参数(如容量、电压、内阻等),建立了电池模组SOE、SOH及SOP多状态耦合表征模型;其次,估计电池模组SOE特性,预测梯次利用电池模组SOH一致性,采用改进K-means聚类算法对电池模组进行了第一阶段的动态分选。最后,建立了电池模组耦合多参量的SOP表征模型,估计了电池模组中电池之间SOP偏差,对电池模组进行了第二阶段的动态分选。通过仿真算例分析验证该方法有效提高了退役动力电池梯次利用过程中模组的一致性,降低了系统运行的寿命损耗,为梯次利用储能大规模应用提供理论基础。
文摘针对雷达信号分选过程依赖先验知识、参数适配调优困难等问题,提出一种基于自约束搜索密度聚类的参数自适应信号分选方法。该方法在点序识别聚类结构(ordering points to identify the clustering structure,OPTICS)算法生成可达距离序列的基础上,引入一种启发式的自约束搜索机制,该机制能够自动分析数据集的内在结构,根据其数据特性自适应划分簇。通过自动调整超参数,该算法能够有效处理不同参数分布的脉冲描述字(pulse description word,PDW)数据。仿真实验表明,在无先验知识依赖情况下,所提算法在雷达信号的分选准确率和抗干扰能力方面均优于传统方法,干扰脉冲比例不高于60%的复杂电磁环境中雷达信号分选准确率达到98%以上。
