Existing multi-view deep subspace clustering methods aim to learn a unified representation from multi-view data,while the learned representation is difficult to maintain the underlying structure hidden in the origin s...Existing multi-view deep subspace clustering methods aim to learn a unified representation from multi-view data,while the learned representation is difficult to maintain the underlying structure hidden in the origin samples,especially the high-order neighbor relationship between samples.To overcome the above challenges,this paper proposes a novel multi-order neighborhood fusion based multi-view deep subspace clustering model.We creatively integrate the multi-order proximity graph structures of different views into the self-expressive layer by a multi-order neighborhood fusion module.By this design,the multi-order Laplacian matrix supervises the learning of the view-consistent self-representation affinity matrix;then,we can obtain an optimal global affinity matrix where each connected node belongs to one cluster.In addition,the discriminative constraint between views is designed to further improve the clustering performance.A range of experiments on six public datasets demonstrates that the method performs better than other advanced multi-view clustering methods.The code is available at https://github.com/songzuolong/MNF-MDSC(accessed on 25 December 2024).展开更多
Yinshan anticline is the product of tectono-dynamic deformation - metamorphism .Along the axis of the anticline exists a brittle-ductile shearing zone which obviously controls the ore-formation . Mineralization occurs...Yinshan anticline is the product of tectono-dynamic deformation - metamorphism .Along the axis of the anticline exists a brittle-ductile shearing zone which obviously controls the ore-formation . Mineralization occurs along the axis of the anticline in a width of about 1000m .In the mining area .volcano- subvolcanic rocks of Early Yanshan period are divided into three cycles :Ⅰ intermediate acidic dacite lava and dacite porphyry ;Ⅱ acidic amphibole liparite and quartz porphyry;Ⅲ intermediate andesite porphyrite . Among them activities of ⅠandⅡ cycles are more intensive and are intimately related to the mineralization . Yinshan ore deposit is the result of combinative processes of tectono -dynamic and volcano -magmatic hydrothermal fluids, so that mere are two centers of metallogenic zoning, one being the axial strain zone of Yinshan anticline which is the center of first order, and the other being porphyry stock , 2nd order.展开更多
By applying the convolution technique to the treatment of oscillographic signal,a new electroanalytical method,0.5-3.5 order differential A.C.oscillographic chronopotentiometry is presented.This note represents the ex...By applying the convolution technique to the treatment of oscillographic signal,a new electroanalytical method,0.5-3.5 order differential A.C.oscillographic chronopotentiometry is presented.This note represents the experimental circuits,principle and characteristics of the method.展开更多
In this paper, we apply the Legendre spectral-collocation method to obtain approximate solutions of nonlinear multi-order fractional differential equations (M-FDEs). The fractional derivative is described in the Caput...In this paper, we apply the Legendre spectral-collocation method to obtain approximate solutions of nonlinear multi-order fractional differential equations (M-FDEs). The fractional derivative is described in the Caputo sense. The study is conducted through illustrative example to demonstrate the validity and applicability of the presented method. The results reveal that the proposed method is very effective and simple. Moreover, only a small number of shifted Legendre polynomials are needed to obtain a satisfactory result.展开更多
For the model of a Closed Phase Locked Loop (CPLL) communication System consists of both the transmission and receiver ends. This model is considered to be in a multi-order intermittent chaotic state. The chaotic sign...For the model of a Closed Phase Locked Loop (CPLL) communication System consists of both the transmission and receiver ends. This model is considered to be in a multi-order intermittent chaotic state. The chaotic signals are then synchronized along side with our system. This chaotic synchronization will be demonstrated and furthermore, a modulation will be formed to examine the system if it will perfectly reconstruct or not. Finally we will demonstrate the synchronization conditions of the system.展开更多
针对大规模、不规则的多色服装裁剪分床计划(multi-color cut order planning,MCOP)问题,提出了基于深度强化学习和多目标粒子群的复合优化算法.首先,以生产误差和生产成本为优化目标,结合设备数量、铺布层数等约束条件,建立了MCOP多目...针对大规模、不规则的多色服装裁剪分床计划(multi-color cut order planning,MCOP)问题,提出了基于深度强化学习和多目标粒子群的复合优化算法.首先,以生产误差和生产成本为优化目标,结合设备数量、铺布层数等约束条件,建立了MCOP多目标优化模型.其次,设计了基于双延迟深度确定性策略梯度(twin delayed deep deterministic policy gradient,TD3)的裁剪分床全局优化求解策略,构建了TD3算法的马尔可夫决策过程,并设计了基于误差和成本的奖励函数求解得到全局解.再者,提出了基于线性解耦的多目标粒子群裁剪分床局部优化算法,设计线性规划解耦策略实现尺码组合矩阵与铺布层数矩阵的快速解耦计算,有效提高求解精度和速度;同时,通过精英档案策略得到MCOP问题的Pareto最优解.最后,通过实际案例和算法对比实验验证了所提方法的可行性和优越性,可为服装企业提供良好的参考价值.展开更多
为解决快速路高架路段大间距出口标志信息供需失衡问题,借助眼动追踪技术开展室内试验。设计77种不同标志,提取并分析28种眼动数据指标,从视认效率、难度、疲劳三个维度构建评价体系。运用重复测量方差分析与逼近理想解排序法(Technique...为解决快速路高架路段大间距出口标志信息供需失衡问题,借助眼动追踪技术开展室内试验。设计77种不同标志,提取并分析28种眼动数据指标,从视认效率、难度、疲劳三个维度构建评价体系。运用重复测量方差分析与逼近理想解排序法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS),探究多信息标志多维视认特性。结果表明,28种眼动指标能有效评估驾驶员视认特性,精准表征视认微观特征。标志中路名数量越多,驾驶员视认效率越低、难度越大、疲劳程度越高,整体视认风险增加。建议标志信息数量一般不超过6条,特殊情况可扩展至9条。此外,目的路名在版面的位置对视认风险影响显著,应合理设置版面优先级。展开更多
高性能同轴电缆网络(High Performance Network Over Coax,HINOC)技术是一种光纤同轴混合接入技术,已发展至第3代。为了实现万兆以太网的接入速率,第3代HINOC引入了多信道绑定机制。但该机制在有效扩展HINOC网络信道带宽的同时易导致HIM...高性能同轴电缆网络(High Performance Network Over Coax,HINOC)技术是一种光纤同轴混合接入技术,已发展至第3代。为了实现万兆以太网的接入速率,第3代HINOC引入了多信道绑定机制。但该机制在有效扩展HINOC网络信道带宽的同时易导致HIMAC(HINOC Medium Access Control)拆帧端接收的数据流失序。针对该问题,文中提出了一种拆帧重排序方法。通过重排序队列缓存管理、入队逻辑地址计算、超时判断及清空以及出队判断等关键技术的设计和实现来解决多信道绑定机制引起的拆帧乱序问题,并对其关键功能点进行仿真验证和板级验证。实验结果表明,所提方法能够有效处理多信道绑定导致的乱序问题,并且能够确保系统在遇到错误情况时稳定运行,具有较强的鲁棒性,满足万兆同轴宽带接入HIMAC 3.0的功能和性能要求。展开更多
基金supported by the National Key R&D Program of China(2023YFC3304600).
文摘Existing multi-view deep subspace clustering methods aim to learn a unified representation from multi-view data,while the learned representation is difficult to maintain the underlying structure hidden in the origin samples,especially the high-order neighbor relationship between samples.To overcome the above challenges,this paper proposes a novel multi-order neighborhood fusion based multi-view deep subspace clustering model.We creatively integrate the multi-order proximity graph structures of different views into the self-expressive layer by a multi-order neighborhood fusion module.By this design,the multi-order Laplacian matrix supervises the learning of the view-consistent self-representation affinity matrix;then,we can obtain an optimal global affinity matrix where each connected node belongs to one cluster.In addition,the discriminative constraint between views is designed to further improve the clustering performance.A range of experiments on six public datasets demonstrates that the method performs better than other advanced multi-view clustering methods.The code is available at https://github.com/songzuolong/MNF-MDSC(accessed on 25 December 2024).
文摘Yinshan anticline is the product of tectono-dynamic deformation - metamorphism .Along the axis of the anticline exists a brittle-ductile shearing zone which obviously controls the ore-formation . Mineralization occurs along the axis of the anticline in a width of about 1000m .In the mining area .volcano- subvolcanic rocks of Early Yanshan period are divided into three cycles :Ⅰ intermediate acidic dacite lava and dacite porphyry ;Ⅱ acidic amphibole liparite and quartz porphyry;Ⅲ intermediate andesite porphyrite . Among them activities of ⅠandⅡ cycles are more intensive and are intimately related to the mineralization . Yinshan ore deposit is the result of combinative processes of tectono -dynamic and volcano -magmatic hydrothermal fluids, so that mere are two centers of metallogenic zoning, one being the axial strain zone of Yinshan anticline which is the center of first order, and the other being porphyry stock , 2nd order.
基金supported by the National Natural Science Foundation of Chinaby the Special Subject Foundation of Educational Committee of Shaanxi Province.
文摘By applying the convolution technique to the treatment of oscillographic signal,a new electroanalytical method,0.5-3.5 order differential A.C.oscillographic chronopotentiometry is presented.This note represents the experimental circuits,principle and characteristics of the method.
文摘In this paper, we apply the Legendre spectral-collocation method to obtain approximate solutions of nonlinear multi-order fractional differential equations (M-FDEs). The fractional derivative is described in the Caputo sense. The study is conducted through illustrative example to demonstrate the validity and applicability of the presented method. The results reveal that the proposed method is very effective and simple. Moreover, only a small number of shifted Legendre polynomials are needed to obtain a satisfactory result.
文摘For the model of a Closed Phase Locked Loop (CPLL) communication System consists of both the transmission and receiver ends. This model is considered to be in a multi-order intermittent chaotic state. The chaotic signals are then synchronized along side with our system. This chaotic synchronization will be demonstrated and furthermore, a modulation will be formed to examine the system if it will perfectly reconstruct or not. Finally we will demonstrate the synchronization conditions of the system.
文摘针对大规模、不规则的多色服装裁剪分床计划(multi-color cut order planning,MCOP)问题,提出了基于深度强化学习和多目标粒子群的复合优化算法.首先,以生产误差和生产成本为优化目标,结合设备数量、铺布层数等约束条件,建立了MCOP多目标优化模型.其次,设计了基于双延迟深度确定性策略梯度(twin delayed deep deterministic policy gradient,TD3)的裁剪分床全局优化求解策略,构建了TD3算法的马尔可夫决策过程,并设计了基于误差和成本的奖励函数求解得到全局解.再者,提出了基于线性解耦的多目标粒子群裁剪分床局部优化算法,设计线性规划解耦策略实现尺码组合矩阵与铺布层数矩阵的快速解耦计算,有效提高求解精度和速度;同时,通过精英档案策略得到MCOP问题的Pareto最优解.最后,通过实际案例和算法对比实验验证了所提方法的可行性和优越性,可为服装企业提供良好的参考价值.
文摘为解决快速路高架路段大间距出口标志信息供需失衡问题,借助眼动追踪技术开展室内试验。设计77种不同标志,提取并分析28种眼动数据指标,从视认效率、难度、疲劳三个维度构建评价体系。运用重复测量方差分析与逼近理想解排序法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS),探究多信息标志多维视认特性。结果表明,28种眼动指标能有效评估驾驶员视认特性,精准表征视认微观特征。标志中路名数量越多,驾驶员视认效率越低、难度越大、疲劳程度越高,整体视认风险增加。建议标志信息数量一般不超过6条,特殊情况可扩展至9条。此外,目的路名在版面的位置对视认风险影响显著,应合理设置版面优先级。
文摘高性能同轴电缆网络(High Performance Network Over Coax,HINOC)技术是一种光纤同轴混合接入技术,已发展至第3代。为了实现万兆以太网的接入速率,第3代HINOC引入了多信道绑定机制。但该机制在有效扩展HINOC网络信道带宽的同时易导致HIMAC(HINOC Medium Access Control)拆帧端接收的数据流失序。针对该问题,文中提出了一种拆帧重排序方法。通过重排序队列缓存管理、入队逻辑地址计算、超时判断及清空以及出队判断等关键技术的设计和实现来解决多信道绑定机制引起的拆帧乱序问题,并对其关键功能点进行仿真验证和板级验证。实验结果表明,所提方法能够有效处理多信道绑定导致的乱序问题,并且能够确保系统在遇到错误情况时稳定运行,具有较强的鲁棒性,满足万兆同轴宽带接入HIMAC 3.0的功能和性能要求。
