Human posture estimation is a prominent research topic in the fields of human-com-puter interaction,motion recognition,and other intelligent applications.However,achieving highaccuracy in key point localization,which ...Human posture estimation is a prominent research topic in the fields of human-com-puter interaction,motion recognition,and other intelligent applications.However,achieving highaccuracy in key point localization,which is crucial for intelligent applications,contradicts the lowdetection accuracy of human posture detection models in practical scenarios.To address this issue,a human pose estimation network called AT-HRNet has been proposed,which combines convolu-tional self-attention and cross-dimensional feature transformation.AT-HRNet captures significantfeature information from various regions in an adaptive manner,aggregating them through convolu-tional operations within the local receptive domain.The residual structures TripNeck and Trip-Block of the high-resolution network are designed to further refine the key point locations,wherethe attention weight is adjusted by a cross-dimensional interaction to obtain more features.To vali-date the effectiveness of this network,AT-HRNet was evaluated using the COCO2017 dataset.Theresults show that AT-HRNet outperforms HRNet by improving 3.2%in mAP,4.0%in AP75,and3.9%in AP^(M).This suggests that AT-HRNet can offer more beneficial solutions for human posture estimation.展开更多
The electron-phonon coupling (EPC) in solids is the fundamental coupling related with their phonons and electronic states.In the conventional EPC research,the phonons and electrons are in the same dimension regime,gen...The electron-phonon coupling (EPC) in solids is the fundamental coupling related with their phonons and electronic states.In the conventional EPC research,the phonons and electrons are in the same dimension regime,generally in the three-dimensional (3D) regime,which limits the tunability of EPC in solids.展开更多
This paper concerns the event-triggered distributed cross-dimensional formation control problem of heterogeneous multi-agent systems(HMASs)subject to limited network resources.The central aim is to design an effective...This paper concerns the event-triggered distributed cross-dimensional formation control problem of heterogeneous multi-agent systems(HMASs)subject to limited network resources.The central aim is to design an effective distributed formation control scheme that will achieve the desired formation control objectives even in the presence of restricted communication.Consequently,a multi-dimensional HMAS is first developed,where a group of agents are assigned to several subgroups based on their dimensions.Then,to mitigate the excessive consumption of communication resources,a cross-dimensional event-triggered communication mechanism is designed to reduce the information interaction among agents with different dimensions.Under the proposed event-based communication mechanism,the problem of HMAS cross-dimensional formation control is transformed into the asymptotic stability problem of a closed-loop error system.Furthermore,several stability criteria for designing a cross-dimensional formation control protocol and communication schedule are presented in an environment where there is no information interaction among follower agents.Finally,a simulation case study is provided to validate the effectiveness of the proposed formation control protocol.展开更多
We investigate the solution and stability of continuous-time cross-dimensional linear systems(CCDLSs)with dimension bounded by V-addition and V-product.Using the integral iteration method,the solution to CCDLSs can be...We investigate the solution and stability of continuous-time cross-dimensional linear systems(CCDLSs)with dimension bounded by V-addition and V-product.Using the integral iteration method,the solution to CCDLSs can be obtained.Based on the new algebraic expression of the solution and the Jordan decomposition method of matrix,a necessary and sufficient condition is derived for judging whether a CCDLS is asymptotically stable with a given initial state.This condition demonstrates a method for finding the domain of attraction and its relationships.Then,all the initial states that can be stabilized are studied,and a method for designing the corresponding controller is proposed.Two examples are presented to illustrate the validity of the theoretical results.展开更多
The cross-dimensional dynamical systems have received increasing research attention in recent years.This paper characterizes the structure features of the cross-dimensional vector space.Specifically,it is proved that ...The cross-dimensional dynamical systems have received increasing research attention in recent years.This paper characterizes the structure features of the cross-dimensional vector space.Specifically,it is proved that the completion of cross-dimensional vector space is an infinite-dimensional separable Hilbert space.Hence,it means that one can isometrically and linearly embed the crossdimensional vector space into theℓ^(2),which is known as the space of square summable sequences.This result will be helpful in the modeling and analyzing the dynamics of cross-dimensional dynamical systems.展开更多
Fuller-rylenes is a useful model to tailor the properties of cross-dimensional molecular carbons to define their scope for specific applications.Herein we present a straightforward synthetic strategy to hybridize plan...Fuller-rylenes is a useful model to tailor the properties of cross-dimensional molecular carbons to define their scope for specific applications.Herein we present a straightforward synthetic strategy to hybridize planar rylene dyes and spherical fullerene into esthetic nanostructures containing features from both subunits via one-pot Pd-catalyzed[3+2]or[4+2]cyclization reactions.Single-crystal X-ray diffraction analysis revealed conclusively the molecular configurations and distinct self-assembly crystal arrangements resulting from the different extension directions of the planarπ-systems on the fullerene ball.Our strategy allowed for easy structural and electronic variations;especially,the lowest unoccupied molecular orbital(LUMO)and highest occupied molecular orbital(HOMO)orbital profiles of the two fuller-rylenes,namely,Fuller-PMI and Fuller-PDI(where PMI refers to as perylene monoamide,and PDI,perylene diimide)molecules,determined by combining fullerene with perylene,which featured different edge structures.展开更多
Multimodal lung tumor medical images can provide anatomical and functional information for the same lesion.Such as Positron Emission Computed Tomography(PET),Computed Tomography(CT),and PET-CT.How to utilize the lesio...Multimodal lung tumor medical images can provide anatomical and functional information for the same lesion.Such as Positron Emission Computed Tomography(PET),Computed Tomography(CT),and PET-CT.How to utilize the lesion anatomical and functional information effectively and improve the network segmentation performance are key questions.To solve the problem,the Saliency Feature-Guided Interactive Feature Enhancement Lung Tumor Segmentation Network(Guide-YNet)is proposed in this paper.Firstly,a double-encoder single-decoder U-Net is used as the backbone in this model,a single-coder single-decoder U-Net is used to generate the saliency guided feature using PET image and transmit it into the skip connection of the backbone,and the high sensitivity of PET images to tumors is used to guide the network to accurately locate lesions.Secondly,a Cross Scale Feature Enhancement Module(CSFEM)is designed to extract multi-scale fusion features after downsampling.Thirdly,a Cross-Layer Interactive Feature Enhancement Module(CIFEM)is designed in the encoder to enhance the spatial position information and semantic information.Finally,a Cross-Dimension Cross-Layer Feature Enhancement Module(CCFEM)is proposed in the decoder,which effectively extractsmultimodal image features through global attention and multi-dimension local attention.The proposed method is verified on the lung multimodal medical image datasets,and the results showthat theMean Intersection overUnion(MIoU),Accuracy(Acc),Dice Similarity Coefficient(Dice),Volumetric overlap error(Voe),Relative volume difference(Rvd)of the proposed method on lung lesion segmentation are 87.27%,93.08%,97.77%,95.92%,89.28%,and 88.68%,respectively.It is of great significance for computer-aided diagnosis.展开更多
This paper discusses the transformative effects of demographics,technology and organization on the socio-economic activity of today's world,examines the limitations of mainstream economic system,and elaborates the...This paper discusses the transformative effects of demographics,technology and organization on the socio-economic activity of today's world,examines the limitations of mainstream economic system,and elaborates the challenges of economic polarization and the complex and diverse reality to mainstream economic system.This paper argues that in the 21st century,economic institutional analysis needs to shift towards a crossdimensional approach,mixed organizations of multi-institutional logic and poly-centric governance system.展开更多
Customized keyword spotting needs to adapt quickly to small user samples.Current methods primarily solve the problem under moderate noise conditions.Recent work increases the level of difficulty in detecting keywords ...Customized keyword spotting needs to adapt quickly to small user samples.Current methods primarily solve the problem under moderate noise conditions.Recent work increases the level of difficulty in detecting keywords by introducing keyword interference.However,the current solution has been explored on large models with many parameters,making it unsuitable for deployment on small devices.When applying the current solution to lightweight models with minimal training data,the performance degrades compared to the baseline model.Therefore,we propose a light-weight multi-task architecture(<9.0×10^(4)parameters)created from integrating the triplet attention module in the ConvMixer networks and a new auxiliary mixed labeling encoding to address the challenge.The results of our experiment show that the proposed model outperforms similar light-weight models for keyword spotting,with accuracy gains ranging from 0.73%to 2.95%for a clean set and from 2.01%to 3.37%for a mixed set under different scales of training set.Furthermore,our model shows its robustness in different low-resource language datasets while converging faster.展开更多
基金the National Natural Science Foundation of China(No.61975015)the Research and Innovation Project for Graduate Students at Zhongyuan University of Technology(No.YKY2024ZK14).
文摘Human posture estimation is a prominent research topic in the fields of human-com-puter interaction,motion recognition,and other intelligent applications.However,achieving highaccuracy in key point localization,which is crucial for intelligent applications,contradicts the lowdetection accuracy of human posture detection models in practical scenarios.To address this issue,a human pose estimation network called AT-HRNet has been proposed,which combines convolu-tional self-attention and cross-dimensional feature transformation.AT-HRNet captures significantfeature information from various regions in an adaptive manner,aggregating them through convolu-tional operations within the local receptive domain.The residual structures TripNeck and Trip-Block of the high-resolution network are designed to further refine the key point locations,wherethe attention weight is adjusted by a cross-dimensional interaction to obtain more features.To vali-date the effectiveness of this network,AT-HRNet was evaluated using the COCO2017 dataset.Theresults show that AT-HRNet outperforms HRNet by improving 3.2%in mAP,4.0%in AP75,and3.9%in AP^(M).This suggests that AT-HRNet can offer more beneficial solutions for human posture estimation.
文摘The electron-phonon coupling (EPC) in solids is the fundamental coupling related with their phonons and electronic states.In the conventional EPC research,the phonons and electrons are in the same dimension regime,generally in the three-dimensional (3D) regime,which limits the tunability of EPC in solids.
基金supported by the National Natural Science Foundation of China(No.62173218)the International Cooperation Project of Shanghai Science and Technology Commission,China(No.21190780300)。
文摘This paper concerns the event-triggered distributed cross-dimensional formation control problem of heterogeneous multi-agent systems(HMASs)subject to limited network resources.The central aim is to design an effective distributed formation control scheme that will achieve the desired formation control objectives even in the presence of restricted communication.Consequently,a multi-dimensional HMAS is first developed,where a group of agents are assigned to several subgroups based on their dimensions.Then,to mitigate the excessive consumption of communication resources,a cross-dimensional event-triggered communication mechanism is designed to reduce the information interaction among agents with different dimensions.Under the proposed event-based communication mechanism,the problem of HMAS cross-dimensional formation control is transformed into the asymptotic stability problem of a closed-loop error system.Furthermore,several stability criteria for designing a cross-dimensional formation control protocol and communication schedule are presented in an environment where there is no information interaction among follower agents.Finally,a simulation case study is provided to validate the effectiveness of the proposed formation control protocol.
基金Project supported by the National Natural Science Foundation of China(Nos.61773371 and 61877036)the Natural Science Fund of Shandong Province,China(No.ZR2019MF002)。
文摘We investigate the solution and stability of continuous-time cross-dimensional linear systems(CCDLSs)with dimension bounded by V-addition and V-product.Using the integral iteration method,the solution to CCDLSs can be obtained.Based on the new algebraic expression of the solution and the Jordan decomposition method of matrix,a necessary and sufficient condition is derived for judging whether a CCDLS is asymptotically stable with a given initial state.This condition demonstrates a method for finding the domain of attraction and its relationships.Then,all the initial states that can be stabilized are studied,and a method for designing the corresponding controller is proposed.Two examples are presented to illustrate the validity of the theoretical results.
基金supported by the National Natural Science Foundation of China under Grant No.61673129the Key Programs in Shaanxi Province of China under Grant No.2021JZ-12Science and the Technology Bureau Project of Yulin under Grant Nos.2019-89-2 and 2019-89-4。
文摘The cross-dimensional dynamical systems have received increasing research attention in recent years.This paper characterizes the structure features of the cross-dimensional vector space.Specifically,it is proved that the completion of cross-dimensional vector space is an infinite-dimensional separable Hilbert space.Hence,it means that one can isometrically and linearly embed the crossdimensional vector space into theℓ^(2),which is known as the space of square summable sequences.This result will be helpful in the modeling and analyzing the dynamics of cross-dimensional dynamical systems.
基金supported by the National Key R&D Pro-gram of China(2017YFA0204701)the National Nat-ural Science Foundation of China(NSFC)(nos.21790361,21734009,51673202,and 21901138).
文摘Fuller-rylenes is a useful model to tailor the properties of cross-dimensional molecular carbons to define their scope for specific applications.Herein we present a straightforward synthetic strategy to hybridize planar rylene dyes and spherical fullerene into esthetic nanostructures containing features from both subunits via one-pot Pd-catalyzed[3+2]or[4+2]cyclization reactions.Single-crystal X-ray diffraction analysis revealed conclusively the molecular configurations and distinct self-assembly crystal arrangements resulting from the different extension directions of the planarπ-systems on the fullerene ball.Our strategy allowed for easy structural and electronic variations;especially,the lowest unoccupied molecular orbital(LUMO)and highest occupied molecular orbital(HOMO)orbital profiles of the two fuller-rylenes,namely,Fuller-PMI and Fuller-PDI(where PMI refers to as perylene monoamide,and PDI,perylene diimide)molecules,determined by combining fullerene with perylene,which featured different edge structures.
基金supported in part by the National Natural Science Foundation of China(Grant No.62062003)Natural Science Foundation of Ningxia(Grant No.2023AAC03293).
文摘Multimodal lung tumor medical images can provide anatomical and functional information for the same lesion.Such as Positron Emission Computed Tomography(PET),Computed Tomography(CT),and PET-CT.How to utilize the lesion anatomical and functional information effectively and improve the network segmentation performance are key questions.To solve the problem,the Saliency Feature-Guided Interactive Feature Enhancement Lung Tumor Segmentation Network(Guide-YNet)is proposed in this paper.Firstly,a double-encoder single-decoder U-Net is used as the backbone in this model,a single-coder single-decoder U-Net is used to generate the saliency guided feature using PET image and transmit it into the skip connection of the backbone,and the high sensitivity of PET images to tumors is used to guide the network to accurately locate lesions.Secondly,a Cross Scale Feature Enhancement Module(CSFEM)is designed to extract multi-scale fusion features after downsampling.Thirdly,a Cross-Layer Interactive Feature Enhancement Module(CIFEM)is designed in the encoder to enhance the spatial position information and semantic information.Finally,a Cross-Dimension Cross-Layer Feature Enhancement Module(CCFEM)is proposed in the decoder,which effectively extractsmultimodal image features through global attention and multi-dimension local attention.The proposed method is verified on the lung multimodal medical image datasets,and the results showthat theMean Intersection overUnion(MIoU),Accuracy(Acc),Dice Similarity Coefficient(Dice),Volumetric overlap error(Voe),Relative volume difference(Rvd)of the proposed method on lung lesion segmentation are 87.27%,93.08%,97.77%,95.92%,89.28%,and 88.68%,respectively.It is of great significance for computer-aided diagnosis.
基金the phased result of "Research on Institutional Innovation of State Owned Enterprises in the New Era",supported by social philosophical innovation project of Chinese Academy of Social Sciences,2015
文摘This paper discusses the transformative effects of demographics,technology and organization on the socio-economic activity of today's world,examines the limitations of mainstream economic system,and elaborates the challenges of economic polarization and the complex and diverse reality to mainstream economic system.This paper argues that in the 21st century,economic institutional analysis needs to shift towards a crossdimensional approach,mixed organizations of multi-institutional logic and poly-centric governance system.
基金supported by the Chinese Government Scholarship under China Scholarship Council.
文摘Customized keyword spotting needs to adapt quickly to small user samples.Current methods primarily solve the problem under moderate noise conditions.Recent work increases the level of difficulty in detecting keywords by introducing keyword interference.However,the current solution has been explored on large models with many parameters,making it unsuitable for deployment on small devices.When applying the current solution to lightweight models with minimal training data,the performance degrades compared to the baseline model.Therefore,we propose a light-weight multi-task architecture(<9.0×10^(4)parameters)created from integrating the triplet attention module in the ConvMixer networks and a new auxiliary mixed labeling encoding to address the challenge.The results of our experiment show that the proposed model outperforms similar light-weight models for keyword spotting,with accuracy gains ranging from 0.73%to 2.95%for a clean set and from 2.01%to 3.37%for a mixed set under different scales of training set.Furthermore,our model shows its robustness in different low-resource language datasets while converging faster.
