Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation...Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation to optimize trafficmanagement and enhance urban mobility and sustainability.However,traditional predictivemodels struggle to capture long-term temporal dependencies and are computationally intensive,limiting their practicality in real-time.Moreover,many approaches overlook the periodic characteristics inherent in traffic data,further impacting performance.To address these challenges,we introduce ST-MambaGCN,a State-Space-Based Spatio-Temporal Graph Convolution Network.Unlike conventionalmodels,ST-MambaGCN replaces the temporal attention layer withMamba,a state-space model that efficiently captures long-term dependencies with near-linear computational complexity.The model combines Chebyshev polynomial-based graph convolutional networks(GCN)to explore spatial correlations.Additionally,we incorporate a multi-temporal feature capture mechanism,where the final integrated features are generated through the Hadamard product based on learnable parameters.This mechanism explicitly models shortterm,daily,and weekly traffic patterns to enhance the network’s awareness of traffic periodicity.Extensive experiments on the PeMS04 and PeMS08 datasets demonstrate that ST-MambaGCN significantly outperforms existing benchmarks,offering substantial improvements in both prediction accuracy and computational efficiency for long-term traffic flow prediction.展开更多
The Noether symmetry and the conserved quantity on time scales in event space are studied in this paper. Firstly, the Lagrangian of parameter forms on time scales in event space are established. The Euler-Lagrange equ...The Noether symmetry and the conserved quantity on time scales in event space are studied in this paper. Firstly, the Lagrangian of parameter forms on time scales in event space are established. The Euler-Lagrange equations and the second EulerLagrange equations of variational calculus on time scales in event space are established. Secondly, based upon the invariance of the Hamilton action on time scales in event space under the infinitesimal transformations of a group, the Noether symmetry and the conserved quantity on time scales in event space are established.Finally, an example is given to illustrate the method and results.展开更多
A new authentication algorithm for grid identity trusted computing unlimited by hardware is presented;the trusted root is made as an image data.The grid entity is trusted in the soft platform when its feature of image...A new authentication algorithm for grid identity trusted computing unlimited by hardware is presented;the trusted root is made as an image data.The grid entity is trusted in the soft platform when its feature of image root is entirely matched with that from the other entities＇ feature database in a scale space process.To recognize and detect the stable image root feature,the non-homogeneous linear expandable scale space is proposed.Focusing on relations between the scale parameter of the inhomogeneous Gaussian function terms and the space evolution of thermal diffusion homogeneous equations,three space evolution operators are constructed to exact and mark the feature from image root.Analysis and verification are carried on the new scale space,operators and the core of making decisions for grid entities certifications.展开更多
This paper proposes a model for image restoration by combining the wavelet shrinkage and inverse scale space （ISS） method. The ISS is applied to the wavelet representation to modify the retained wavelet coefficients...This paper proposes a model for image restoration by combining the wavelet shrinkage and inverse scale space （ISS） method. The ISS is applied to the wavelet representation to modify the retained wavelet coefficients, and the coefficients smaller than the threshold are set to zero. The curvature term of the ISS can remove the edge artifacts and preserve sharp edges. For the multiscale interpretation of the ISS and the multiscale property of the wavelet representation, small details are preserved. This paper illustrates that the wavelet ISS model can be deduced from the wavelet based on a total variation minimization problem. A stopping criterion is obtained from this minimization in the sense of the Bregman distance in the wavelet domain. Numerical examples show the improvement for the image denoising with the proposed method in the sense of the signal to noise ratio and with fewer details remained in the residue.展开更多
The purpose of this paper is to investigate the behavior of a Wiener integral along the curve C of the scale factor ρ > 0 for the Wiener integral ∫C0[0,T]F(ρx)dm(x) about the function defined on the Wiener space...The purpose of this paper is to investigate the behavior of a Wiener integral along the curve C of the scale factor ρ > 0 for the Wiener integral ∫C0[0,T]F(ρx)dm(x) about the function defined on the Wiener space C0[0,T], where θ(t,u) is a Fourier-Stieltjes transform of a complex Borel measure.展开更多
This paper mainly focuses on the issues about generic multi-scale object perception for detection or recognition. A novel computational model in visually-feature space is presented for scene & object representatio...This paper mainly focuses on the issues about generic multi-scale object perception for detection or recognition. A novel computational model in visually-feature space is presented for scene & object representation to purse the underlying textural manifold statistically in nonparametric manner. The associative method approximately makes perceptual hierarchy in human-vision biologically coherency in specific quad-tree-pyramid structure, and the appropriate scale-value of different objects can automatically be selected by evaluating from well-defined scale function without any priori knowledge. The sufficient experiments truly demonstrate the effectiveness of scale determination in textural manifold with object localization rapidly.展开更多
The closure of a turbulence field is a longstanding fundamental problem, while most closure models are introduced in spectral space. Inspired by Chou＇s quasi-normal closure method in spectral space, we propose an ana...The closure of a turbulence field is a longstanding fundamental problem, while most closure models are introduced in spectral space. Inspired by Chou＇s quasi-normal closure method in spectral space, we propose an analytical closure model for isotropic turbulence based on the extended scale similarity theory of the velocity structure function in physical space. The assumptions and certain approximations are justified with direct numerical simulation. The asymptotic scaling properties are reproduced by this new closure method, in comparison to the classical Batchelor model.展开更多
In this paper, we have studied the perfect fluid distribution in the scale invariant theory of gravitation, when the space-time described by Einstein-Rosen metric with a time dependent gauge function. The cosmological...In this paper, we have studied the perfect fluid distribution in the scale invariant theory of gravitation, when the space-time described by Einstein-Rosen metric with a time dependent gauge function. The cosmological equations for this space-time with gauge function are solved and some physical properties of the model are studied.展开更多
0 INTRODUCTION Due to the rapid population growth and the accelerated urbanization process,the contradiction between the demand for expanding ground space and the limited available land scale is becoming increasingly ...0 INTRODUCTION Due to the rapid population growth and the accelerated urbanization process,the contradiction between the demand for expanding ground space and the limited available land scale is becoming increasingly prominent.China has implemented and completed several largescale land infilling and excavation projects(Figure 1),which have become the main way to increase land resources and expand construction land.展开更多
目的了解国外公园绿地服务设计研究热点和趋势,为我国服务设计介入城市公园绿地服务质量改进提供理论指导和建议。方法系统检索Web of Science核心合集数据库、Scopus、Embase、Ebsco、Science Direct、EI Compendex等6个数据库中公园...目的了解国外公园绿地服务设计研究热点和趋势,为我国服务设计介入城市公园绿地服务质量改进提供理论指导和建议。方法系统检索Web of Science核心合集数据库、Scopus、Embase、Ebsco、Science Direct、EI Compendex等6个数据库中公园绿地和服务设计相关文献,使用Bicomb软件进行关键词词频统计并构建词篇矩阵和共现矩阵,使用SPSS进行关键词聚类挖掘研究热点并进一步通过多维尺度分析了解热点之间的影响关系、识别潜力节点、探索未来发展趋势。结果共检索相关文献360篇,系统聚类结果表明国外公园绿地服务设计研究围绕公园绿地的环境保护和社会效益、以用户体验为中心的服务设计理论与运用、多元主体视角下公园绿地的包容性与公平性、利益相关者参与的可持续环境共创四大热点议题展开,多维尺度分析结果表明四大议题处于不同研究地位与发展阶段。结论未来公园绿地的服务设计研究应当致力于推动生态系统服务与效益共生、推进服务设计理论顶层设计和实践探索、强化公平性评估与协同设计体系,以及深化跨学科融合与数字化技术介入。展开更多
【目的】为保护并优化高度城镇化地区的碳汇空间,有必要系统研究其时空演变特征及规律。【方法】本研究聚焦苏南地区“城镇尺度”的碳汇空间,在研究其时空演变特征的基础上,结合斑块生成土地利用变化模拟(patch-generating land use sim...【目的】为保护并优化高度城镇化地区的碳汇空间,有必要系统研究其时空演变特征及规律。【方法】本研究聚焦苏南地区“城镇尺度”的碳汇空间,在研究其时空演变特征的基础上,结合斑块生成土地利用变化模拟(patch-generating land use simulation,PLUS)模型和聚类分析法研判不同城镇综合响应状态,并提出差异化的碳汇空间管控策略。【结果】1)2000—2020年苏南地区碳汇空间面积大幅减少,减少区域高度集中于高价值碳汇空间。碳汇空间格局在城镇尺度上未因城镇化而全面瓦解,表现出较强的稳定性。2)通过对自然增长情景、碳汇保护情景、碳汇强化情景3种情景的模拟,发现加大碳汇空间保护力度能够实现高质量碳汇空间扩张,但需要警惕生态功能单一化风险,避免盲目追求“高碳汇系数”。3)在3种模拟情景下,大部分城镇碳汇空间结构较稳定,建议通过存量挖潜与功能置换等方式优化碳汇空间;而部分敏感型城镇则呈现差异化演变路径,需根据其具体风险类型,实施更具针对性的管控策略。【结论】快速城镇化地区碳汇空间面积虽然呈现缩减趋势,但在城镇尺度表现出稳定性与敏感性共存的特征。这一特性可通过多情景模拟研判,从而为制定差异化的城镇碳汇空间管控策略提供科学依据。展开更多
基金supported byNationalNatural Science Foundation of China,GrantNo.62402046the Beijing Forestry University Science and Technology Innovation Project under Grant No.BLX202358.
文摘Long-term traffic flow prediction is a crucial component of intelligent transportation systems within intelligent networks,requiring predictive models that balance accuracy with low-latency and lightweight computation to optimize trafficmanagement and enhance urban mobility and sustainability.However,traditional predictivemodels struggle to capture long-term temporal dependencies and are computationally intensive,limiting their practicality in real-time.Moreover,many approaches overlook the periodic characteristics inherent in traffic data,further impacting performance.To address these challenges,we introduce ST-MambaGCN,a State-Space-Based Spatio-Temporal Graph Convolution Network.Unlike conventionalmodels,ST-MambaGCN replaces the temporal attention layer withMamba,a state-space model that efficiently captures long-term dependencies with near-linear computational complexity.The model combines Chebyshev polynomial-based graph convolutional networks(GCN)to explore spatial correlations.Additionally,we incorporate a multi-temporal feature capture mechanism,where the final integrated features are generated through the Hadamard product based on learnable parameters.This mechanism explicitly models shortterm,daily,and weekly traffic patterns to enhance the network’s awareness of traffic periodicity.Extensive experiments on the PeMS04 and PeMS08 datasets demonstrate that ST-MambaGCN significantly outperforms existing benchmarks,offering substantial improvements in both prediction accuracy and computational efficiency for long-term traffic flow prediction.
基金Supported by the National Natural Science Foundation of China(11572212 and 11272227)the Innovation Program for Postgraduate in Higher Education Institutions of Jiangsu Province(KYZZ15_0349)the Innovation Program of USTS(SKCX15_061)
文摘The Noether symmetry and the conserved quantity on time scales in event space are studied in this paper. Firstly, the Lagrangian of parameter forms on time scales in event space are established. The Euler-Lagrange equations and the second EulerLagrange equations of variational calculus on time scales in event space are established. Secondly, based upon the invariance of the Hamilton action on time scales in event space under the infinitesimal transformations of a group, the Noether symmetry and the conserved quantity on time scales in event space are established.Finally, an example is given to illustrate the method and results.
基金Foundation item: Supported by the National Natural Science Foundation (61070151,60903203,61103246)the Natural Science Foundation of Fujian Province (2010J01353)+1 种基金the Xiamen University of Technology Scientific Research Foundation (YKJ11024R)Xiamen Scientific Research Foundation (3502Z20123037)
文摘A new authentication algorithm for grid identity trusted computing unlimited by hardware is presented;the trusted root is made as an image data.The grid entity is trusted in the soft platform when its feature of image root is entirely matched with that from the other entities＇ feature database in a scale space process.To recognize and detect the stable image root feature,the non-homogeneous linear expandable scale space is proposed.Focusing on relations between the scale parameter of the inhomogeneous Gaussian function terms and the space evolution of thermal diffusion homogeneous equations,three space evolution operators are constructed to exact and mark the feature from image root.Analysis and verification are carried on the new scale space,operators and the core of making decisions for grid entities certifications.
基金supported by the National Natural Science Foundation of China (61101208)
文摘This paper proposes a model for image restoration by combining the wavelet shrinkage and inverse scale space （ISS） method. The ISS is applied to the wavelet representation to modify the retained wavelet coefficients, and the coefficients smaller than the threshold are set to zero. The curvature term of the ISS can remove the edge artifacts and preserve sharp edges. For the multiscale interpretation of the ISS and the multiscale property of the wavelet representation, small details are preserved. This paper illustrates that the wavelet ISS model can be deduced from the wavelet based on a total variation minimization problem. A stopping criterion is obtained from this minimization in the sense of the Bregman distance in the wavelet domain. Numerical examples show the improvement for the image denoising with the proposed method in the sense of the signal to noise ratio and with fewer details remained in the residue.
文摘The purpose of this paper is to investigate the behavior of a Wiener integral along the curve C of the scale factor ρ > 0 for the Wiener integral ∫C0[0,T]F(ρx)dm(x) about the function defined on the Wiener space C0[0,T], where θ(t,u) is a Fourier-Stieltjes transform of a complex Borel measure.
文摘This paper mainly focuses on the issues about generic multi-scale object perception for detection or recognition. A novel computational model in visually-feature space is presented for scene & object representation to purse the underlying textural manifold statistically in nonparametric manner. The associative method approximately makes perceptual hierarchy in human-vision biologically coherency in specific quad-tree-pyramid structure, and the appropriate scale-value of different objects can automatically be selected by evaluating from well-defined scale function without any priori knowledge. The sufficient experiments truly demonstrate the effectiveness of scale determination in textural manifold with object localization rapidly.
文摘The closure of a turbulence field is a longstanding fundamental problem, while most closure models are introduced in spectral space. Inspired by Chou＇s quasi-normal closure method in spectral space, we propose an analytical closure model for isotropic turbulence based on the extended scale similarity theory of the velocity structure function in physical space. The assumptions and certain approximations are justified with direct numerical simulation. The asymptotic scaling properties are reproduced by this new closure method, in comparison to the classical Batchelor model.
文摘In this paper, we have studied the perfect fluid distribution in the scale invariant theory of gravitation, when the space-time described by Einstein-Rosen metric with a time dependent gauge function. The cosmological equations for this space-time with gauge function are solved and some physical properties of the model are studied.
基金funded by the Key Research and Development Program of Shaanxi Province(No.2024SFYBXM-669)the National Natural Science Foundation of China(No.42271078)。
文摘0 INTRODUCTION Due to the rapid population growth and the accelerated urbanization process,the contradiction between the demand for expanding ground space and the limited available land scale is becoming increasingly prominent.China has implemented and completed several largescale land infilling and excavation projects(Figure 1),which have become the main way to increase land resources and expand construction land.
文摘目的了解国外公园绿地服务设计研究热点和趋势,为我国服务设计介入城市公园绿地服务质量改进提供理论指导和建议。方法系统检索Web of Science核心合集数据库、Scopus、Embase、Ebsco、Science Direct、EI Compendex等6个数据库中公园绿地和服务设计相关文献,使用Bicomb软件进行关键词词频统计并构建词篇矩阵和共现矩阵,使用SPSS进行关键词聚类挖掘研究热点并进一步通过多维尺度分析了解热点之间的影响关系、识别潜力节点、探索未来发展趋势。结果共检索相关文献360篇,系统聚类结果表明国外公园绿地服务设计研究围绕公园绿地的环境保护和社会效益、以用户体验为中心的服务设计理论与运用、多元主体视角下公园绿地的包容性与公平性、利益相关者参与的可持续环境共创四大热点议题展开,多维尺度分析结果表明四大议题处于不同研究地位与发展阶段。结论未来公园绿地的服务设计研究应当致力于推动生态系统服务与效益共生、推进服务设计理论顶层设计和实践探索、强化公平性评估与协同设计体系,以及深化跨学科融合与数字化技术介入。
文摘【目的】为保护并优化高度城镇化地区的碳汇空间,有必要系统研究其时空演变特征及规律。【方法】本研究聚焦苏南地区“城镇尺度”的碳汇空间,在研究其时空演变特征的基础上,结合斑块生成土地利用变化模拟(patch-generating land use simulation,PLUS)模型和聚类分析法研判不同城镇综合响应状态,并提出差异化的碳汇空间管控策略。【结果】1)2000—2020年苏南地区碳汇空间面积大幅减少,减少区域高度集中于高价值碳汇空间。碳汇空间格局在城镇尺度上未因城镇化而全面瓦解,表现出较强的稳定性。2)通过对自然增长情景、碳汇保护情景、碳汇强化情景3种情景的模拟,发现加大碳汇空间保护力度能够实现高质量碳汇空间扩张,但需要警惕生态功能单一化风险,避免盲目追求“高碳汇系数”。3)在3种模拟情景下,大部分城镇碳汇空间结构较稳定,建议通过存量挖潜与功能置换等方式优化碳汇空间;而部分敏感型城镇则呈现差异化演变路径,需根据其具体风险类型,实施更具针对性的管控策略。【结论】快速城镇化地区碳汇空间面积虽然呈现缩减趋势,但在城镇尺度表现出稳定性与敏感性共存的特征。这一特性可通过多情景模拟研判,从而为制定差异化的城镇碳汇空间管控策略提供科学依据。
