The paper is devoted to establishing the long-time behavior of solutions to the extensible beam equation with rotational inertia and nonlocal strong damping.Within the theory of asymptotical smoothness,we investigate ...The paper is devoted to establishing the long-time behavior of solutions to the extensible beam equation with rotational inertia and nonlocal strong damping.Within the theory of asymptotical smoothness,we investigate the existence of the attractor by using the contractive function method and more detailed estimates.展开更多
In this paper a method is developed to model the design process gene based on the extensible basic-element with the purpose of design process optimization and reuse. First, the principle of genetic engineering based d...In this paper a method is developed to model the design process gene based on the extensible basic-element with the purpose of design process optimization and reuse. First, the principle of genetic engineering based design process optimization and reuse is put forward and analyzed. Second, the extensible basic-element model of the design process gene is established based on the models of the design process base and the base pair through analyzing the concept and structure of the design process gene and the extensible basic-element as well as its extensibility. Third, the features of divergence and scalability of the extensible basic-element model of the design process gene are discussed for carrying out the extension translation to the design process gene by way of inserting, deleting and updating design process bases. Finally, an example of building extensible basic-element models for the design process base, base pair and design process gene in mechanical product design and the mutation process of the design process gene in airplane design is presented which demonstrates the application of the method proposed in this paper.展开更多
The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type descriptio...The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.展开更多
This paper investigates the existence and uniform decay of global solutions to the initial and boundary value problem with clamped boundary conditions for a nonlinear beam equation with a strong damping.
Active networks are a new kind of packet-switched networks in which packets have code fragments that are executed on the intermediary nodes (routers). The code can extend or modify the foundation architecture of a net...Active networks are a new kind of packet-switched networks in which packets have code fragments that are executed on the intermediary nodes (routers). The code can extend or modify the foundation architecture of a network. In this paper, the authors present a novel active network architecture combined with advantages of two major active networks technology based on extensible services router. The architecture consists of extensible service router, active extensible components server and key distribution center (KDC). Users can write extensible service components with programming interface. At the present time, we have finished the extensible services router prototype system based on Highly Efficient Router Operating System (HEROS), active extensible components server and KDC prototype system based on Linux.展开更多
With the rapid development of network technology, it is increasingly important to dynamically upgrade router’s software. In this paper, the authors present new software architecture to be applied to extensible servic...With the rapid development of network technology, it is increasingly important to dynamically upgrade router’s software. In this paper, the authors present new software architecture to be applied to extensible services router. The novel feature of the architecture is the ability to dynamically load and configure extensible components at run time. Each component implements one function such as packets classification, packets scheduling and routing protocol. We design a simple configuration language (ESRCL) to configure and manage the router. The architecture can be configured according to the packet flows. At present, a prototype system based on highly efficient router operating system (HEROS) has been finished.展开更多
Intellectual capital disclosure （ICD） has experienced a substantial increase in recent decades and many frameworks and guidelines have been issued to provide directions with regard to what constitutes ＂good＂ ICD. ...Intellectual capital disclosure （ICD） has experienced a substantial increase in recent decades and many frameworks and guidelines have been issued to provide directions with regard to what constitutes ＂good＂ ICD. Companies can use Extensible Business Reporting Language （XBRL） to ＂build＂ their own intellectual capital （IC） reports. This digital format has both technical and operating characteristics suitable for reporting non-financial information. This paper reports the findings of a survey of the views of 37 Italian preparers on the scope, the taxonomy, and the assurance of IC reporting via XBRL. It was found that respondents favor the adoption of an IC reporting framework and the standardization of IC indicators. Preferences reveal uncertainty about the level of flexibility for tagging IC information, while supporting the main benefits of XBRL and indicating a marked inclination for tagged information certified by an independent audit. Overall, despite a low awareness of XBRL, the importance placed on standardization of IC information and on the usefulness of the comparability and the speed attribute of XBRL supports the appealing features of this language for developing IC reporting.展开更多
In recent years large corporations as well as smaller commercial enterprises have begun to devote increased attention to software testing and software quality. This paper introduces a novel tool—the Framework for Ext...In recent years large corporations as well as smaller commercial enterprises have begun to devote increased attention to software testing and software quality. This paper introduces a novel tool—the Framework for Extensible Application Testing (FEAT), implemented by the author and applicable for automatic generation and execution of test cases. The paper discusses system requirements, design, architecture and modes of operation. It also contains a detailed comparison of the FEAT framework with existing test environments, focusing in particular on the STAF/STAX framework. The final section is devoted to experimental research into the applicability and efficiency of the presented tools in various projects and configurations, as reflected by quality metrics.展开更多
The martensite start temperature is a critical parameter for steels with metastable austenite.Although numerous models have been developed to predict the martensite start(Ms)temperature,the complexity of the martensit...The martensite start temperature is a critical parameter for steels with metastable austenite.Although numerous models have been developed to predict the martensite start(Ms)temperature,the complexity of the martensitic transformation greatly limits their performance and extensibility.In this work,we apply deep data mining of thermodynamic calculations and deep learning to develop a generic model for Msprediction.Deep data mining was used to establish a hierarchical database with three levels of information.Then,a convolutional neural network model,which can accurately treat the hierarchical data structure,was used to obtain the final model.By integrating thermodynamic calculations,traditional machine learning and deep learning modeling,the final predictor model shows excellent generalizability and extensibility,i.e.model performance both within and beyond the composition range of the original database.The effects of 15 alloying elements were considered successfully using the proposed methodology.The work suggests that,with the help of deep data mining considering the physical mechanisms,deep learning methods can partially mitigate the challenge with limited data in materials science and provide a means for solving complex problems with small databases.展开更多
Post-disaster building damage assessment(BDA)is vital for emergency response.Deep learning(DL)models are increasingly being applied to achieve quick and automatic BDA on disaster remote sensing imagery,and their perfo...Post-disaster building damage assessment(BDA)is vital for emergency response.Deep learning(DL)models are increasingly being applied to achieve quick and automatic BDA on disaster remote sensing imagery,and their performance largely relies on the knowledge base offered by the dataset.However,constructing a BDA dataset requires intensive expert labeling work and a massive time,leading to a substantial lag in dataset enrichment and model development in the current research field.To address this,this paper introduces a new multidisaster BDA benchmark,the extensible building damage(EBD)dataset,which includes over 18,000 pre-and post-disaster image pairs from 12 recent disaster events,covering over 175,000 building annotations with 4-level damage labels.Unlike previous BDA datasets,EBD follows a semiautomatic labeling workflow and has reduced construction time by 80% compared to full manual labeling.In this process,the DL model served as the machine expert to perform automatic labeling.It was pretrained on the xView2 building damage dataset and then transferred to each new disaster scenario via semi-supervised fine-tuning(SS-FT).SS-FT not only leverages a few labeled samples for supervised fine-tuning but also incorporates both labeled and unlabeled samples into pixel-level contrastive learning.Results demonstrate that the DL model has considerably improved annotation performance under SS-FT.A series of analyses have proven EBD’s building damage feature diversity,practical value in emergency mapping,and knowledge enrichment to the existing benchmark.EBD advances data renewal for natural disaster scenarios and supports the application of artificial intelligence in emergency response efforts.展开更多
On the basis of formal grammar, this paper introduces operation set θ (e.g.,vector point multiply ·, vector couple multiply * , vector set multiply X, substitution H,function F, set plus ∪, et al.) and set of s...On the basis of formal grammar, this paper introduces operation set θ (e.g.,vector point multiply ·, vector couple multiply * , vector set multiply X, substitution H,function F, set plus ∪, et al.) and set of set' s types L (e.g., ordered set, continuous(descending) ordered set, unordered set, coupled set, coordinate, et al.), and generalizes them toother word types of natural language, thus presenting the generative grammar for words―anextensible 6-element formal system {V_T, V_N, θ, L, S, P}, and takeing time words in naturallanguage as example for detailed discussion. With the colorfulness of time words of naturallanguage, time words for different natural languages assume different meaning. Generative grammarfor time words can generate not only different time words, but also their semantics (Generativegrammar of Chomsky can only produce all right sentences instead of semantics), and then, generalizesthem to other word types, e.g., accurate measure words, adjectives, etc.展开更多
In this article,we consider the long-time behavior of extensible beams with nonlocal weak damping:ε(t)u_(tt)+Δ^(2)u-m(‖▽u‖^(2))Δu+‖u_(t)‖^(p_(u_(t)))+f(u)=h,whereε(t)is a decreasing function vanishing at infi...In this article,we consider the long-time behavior of extensible beams with nonlocal weak damping:ε(t)u_(tt)+Δ^(2)u-m(‖▽u‖^(2))Δu+‖u_(t)‖^(p_(u_(t)))+f(u)=h,whereε(t)is a decreasing function vanishing at infinity.Within the theory of process on time-dependent spaces,we investigate the existence of the time-dependent attractor by using the Condition(C_(t))method and more detailed estimates.The results obtained essentially improve and complete some previous works.展开更多
For β∈ R,the authors consider the evolution system in the unknown variables u and ααttu+αxxxxu+αxxtα-(β+αxu L22)αxxu=f,αttα-αxxα-αxxtα-αxxtu=0 describing the dynamics of type III thermoelastic extensi...For β∈ R,the authors consider the evolution system in the unknown variables u and ααttu+αxxxxu+αxxtα-(β+αxu L22)αxxu=f,αttα-αxxα-αxxtα-αxxtu=0 describing the dynamics of type III thermoelastic extensible beams,where the dissipation is entirely contributed by the second equation ruling the evolution of the thermal displacement α.Under natural boundary conditions,the existence of the global attractor of optimal regularity for the related dynamical system acting on the phase space of weak energy solutions is established.展开更多
In this paper,we offer a new construction of Stefan’s homological spectral sequence for Hopf Galois extensions,by using the double complex argument.Under the faithfully flat condition,a method for computation of Hoch...In this paper,we offer a new construction of Stefan’s homological spectral sequence for Hopf Galois extensions,by using the double complex argument.Under the faithfully flat condition,a method for computation of Hochschild homology is given.展开更多
Mobile communications are reaching out to every aspect of our daily life,necessitating highefficiency data transmission and support for diverse data types and communication scenarios.Polar codes have emerged as a prom...Mobile communications are reaching out to every aspect of our daily life,necessitating highefficiency data transmission and support for diverse data types and communication scenarios.Polar codes have emerged as a promising solution due to their outstanding error-correction performance and low complexity.Unequal error protection(UEP)involves nonuniform error safeguarding for distinct data segments,achieving a fine balance between error resilience and resource allocation,which ultimately enhancing system performance and efficiency.In this paper,we propose a novel class of UEP rateless polar codes.The codes are designed based on matrix extension of polar codes,and elegant mapping and duplication operations are designed to achieve UEP property while preserving the overall performance of conventional polar codes.Superior UEP performance is attained without significant modifications to conventional polar codes,making it straightforward for compatibility with existing polar codes.A theoretical analysis is conducted on the block error rate and throughput efficiency performance.To the best of our knowledge,this work provides the first theoretical performance analysis of UEP rateless polar codes.Simulation results show that the proposed codes significantly outperform existing polar coding schemes in both block error rate and throughput efficiency.展开更多
Accurately recognizing driver distraction is critical for preventing traffic accidents,yet current detection models face two persistent challenges.First,distractions are often fine-grained,involving subtle cues such a...Accurately recognizing driver distraction is critical for preventing traffic accidents,yet current detection models face two persistent challenges.First,distractions are often fine-grained,involving subtle cues such as brief eye closures or partial yawns,which are easily missed by conventional detectors.Second,in real-world scenarios,drivers frequently exhibit overlapping behaviors,such as simultaneously holding a cup,closing their eyes,and yawning,leading tomultiple detection boxes and degradedmodel performance.Existing approaches fail to robustly address these complexities,resulting in limited reliability in safety critical applications.To overcome these pain points,we propose YOLO-Drive,a novel framework that enhances YOLO-based driver monitoring with EfficientViM and Polarized Spectral–Spatial Attention(PSSA)modules.Efficient ViMprovides lightweight yet powerful global–local feature extraction,enabling accurate recognition of subtle driver states.PSSA further amplifies discriminative features across spatial and spectral domains,ensuring robust separation of concurrent distraction cues.By explicitly modeling fine-grained and overlapping behaviors,our approach delivers significant improvements in both precision and robustness.Extensive experiments on benchmark driver distraction datasets demonstrate that YOLO-Drive consistently out-performs stateof-the-art models,achieving higher detection accuracy while maintaining real-time efficiency.These results validate YOLO-Drive as a practical and reliable solution for advanced driver monitoring systems,addressing long-standing challenges of subtle cue recognition and multi-cue distraction detection.展开更多
Article Article types Articles commonly fall into one of three main categories: Fulllength articles, Review articles and Short communications.Full-length articles are original, unpublished primary research. Extensions...Article Article types Articles commonly fall into one of three main categories: Fulllength articles, Review articles and Short communications.Full-length articles are original, unpublished primary research. Extensions of work that has been published previously in short form such as a Communication are usually acceptable.Short communications must contain original and highly significant work whose high novelty warrants rapid publication.Review articles may be an authoritative overview of a field, a comprehensive literature reviews, or tutorial-style reference materials. Reviews are usually invited by the editor, but a topic may be proposed by an author via the editorial office.展开更多
Article Article types Articles commonly fall into one of three main categories: Full-length articles, Review articles and Short communications.Full-length articles are original, unpublished primary research. Extension...Article Article types Articles commonly fall into one of three main categories: Full-length articles, Review articles and Short communications.Full-length articles are original, unpublished primary research. Extensions of work that has been published previously in short form such as a Communication are usually acceptable.Short communications must contain original and highly significant work whose high novelty warrants rapid publication.展开更多
基金Supported by the National Natural Science Foundation of China(Grant Nos.1210150211961059)the University Innovation Project of Gansu Province(Grant No.2023B-062).
文摘The paper is devoted to establishing the long-time behavior of solutions to the extensible beam equation with rotational inertia and nonlocal strong damping.Within the theory of asymptotical smoothness,we investigate the existence of the attractor by using the contractive function method and more detailed estimates.
文摘In this paper a method is developed to model the design process gene based on the extensible basic-element with the purpose of design process optimization and reuse. First, the principle of genetic engineering based design process optimization and reuse is put forward and analyzed. Second, the extensible basic-element model of the design process gene is established based on the models of the design process base and the base pair through analyzing the concept and structure of the design process gene and the extensible basic-element as well as its extensibility. Third, the features of divergence and scalability of the extensible basic-element model of the design process gene are discussed for carrying out the extension translation to the design process gene by way of inserting, deleting and updating design process bases. Finally, an example of building extensible basic-element models for the design process base, base pair and design process gene in mechanical product design and the mutation process of the design process gene in airplane design is presented which demonstrates the application of the method proposed in this paper.
文摘The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.
基金Supported by the NNSF of china(11271066,11326158)Supported by the grant of Shanghai Education Commission(13ZZ048)Supported by the Doctoral Innovational Fund of Donghua University(BC201138)
文摘This paper investigates the existence and uniform decay of global solutions to the initial and boundary value problem with clamped boundary conditions for a nonlinear beam equation with a strong damping.
文摘Active networks are a new kind of packet-switched networks in which packets have code fragments that are executed on the intermediary nodes (routers). The code can extend or modify the foundation architecture of a network. In this paper, the authors present a novel active network architecture combined with advantages of two major active networks technology based on extensible services router. The architecture consists of extensible service router, active extensible components server and key distribution center (KDC). Users can write extensible service components with programming interface. At the present time, we have finished the extensible services router prototype system based on Highly Efficient Router Operating System (HEROS), active extensible components server and KDC prototype system based on Linux.
文摘With the rapid development of network technology, it is increasingly important to dynamically upgrade router’s software. In this paper, the authors present new software architecture to be applied to extensible services router. The novel feature of the architecture is the ability to dynamically load and configure extensible components at run time. Each component implements one function such as packets classification, packets scheduling and routing protocol. We design a simple configuration language (ESRCL) to configure and manage the router. The architecture can be configured according to the packet flows. At present, a prototype system based on highly efficient router operating system (HEROS) has been finished.
文摘Intellectual capital disclosure （ICD） has experienced a substantial increase in recent decades and many frameworks and guidelines have been issued to provide directions with regard to what constitutes ＂good＂ ICD. Companies can use Extensible Business Reporting Language （XBRL） to ＂build＂ their own intellectual capital （IC） reports. This digital format has both technical and operating characteristics suitable for reporting non-financial information. This paper reports the findings of a survey of the views of 37 Italian preparers on the scope, the taxonomy, and the assurance of IC reporting via XBRL. It was found that respondents favor the adoption of an IC reporting framework and the standardization of IC indicators. Preferences reveal uncertainty about the level of flexibility for tagging IC information, while supporting the main benefits of XBRL and indicating a marked inclination for tagged information certified by an independent audit. Overall, despite a low awareness of XBRL, the importance placed on standardization of IC information and on the usefulness of the comparability and the speed attribute of XBRL supports the appealing features of this language for developing IC reporting.
文摘In recent years large corporations as well as smaller commercial enterprises have begun to devote increased attention to software testing and software quality. This paper introduces a novel tool—the Framework for Extensible Application Testing (FEAT), implemented by the author and applicable for automatic generation and execution of test cases. The paper discusses system requirements, design, architecture and modes of operation. It also contains a detailed comparison of the FEAT framework with existing test environments, focusing in particular on the STAF/STAX framework. The final section is devoted to experimental research into the applicability and efficiency of the presented tools in various projects and configurations, as reflected by quality metrics.
基金financially supported by the National Natural Science Foundation of China(Nos.51801019 and U1808208)。
文摘The martensite start temperature is a critical parameter for steels with metastable austenite.Although numerous models have been developed to predict the martensite start(Ms)temperature,the complexity of the martensitic transformation greatly limits their performance and extensibility.In this work,we apply deep data mining of thermodynamic calculations and deep learning to develop a generic model for Msprediction.Deep data mining was used to establish a hierarchical database with three levels of information.Then,a convolutional neural network model,which can accurately treat the hierarchical data structure,was used to obtain the final model.By integrating thermodynamic calculations,traditional machine learning and deep learning modeling,the final predictor model shows excellent generalizability and extensibility,i.e.model performance both within and beyond the composition range of the original database.The effects of 15 alloying elements were considered successfully using the proposed methodology.The work suggests that,with the help of deep data mining considering the physical mechanisms,deep learning methods can partially mitigate the challenge with limited data in materials science and provide a means for solving complex problems with small databases.
基金supported by the National Key Research and Development Program of China under grant 2019YFE0127400 and Kakenhi under grant 25K03145.
文摘Post-disaster building damage assessment(BDA)is vital for emergency response.Deep learning(DL)models are increasingly being applied to achieve quick and automatic BDA on disaster remote sensing imagery,and their performance largely relies on the knowledge base offered by the dataset.However,constructing a BDA dataset requires intensive expert labeling work and a massive time,leading to a substantial lag in dataset enrichment and model development in the current research field.To address this,this paper introduces a new multidisaster BDA benchmark,the extensible building damage(EBD)dataset,which includes over 18,000 pre-and post-disaster image pairs from 12 recent disaster events,covering over 175,000 building annotations with 4-level damage labels.Unlike previous BDA datasets,EBD follows a semiautomatic labeling workflow and has reduced construction time by 80% compared to full manual labeling.In this process,the DL model served as the machine expert to perform automatic labeling.It was pretrained on the xView2 building damage dataset and then transferred to each new disaster scenario via semi-supervised fine-tuning(SS-FT).SS-FT not only leverages a few labeled samples for supervised fine-tuning but also incorporates both labeled and unlabeled samples into pixel-level contrastive learning.Results demonstrate that the DL model has considerably improved annotation performance under SS-FT.A series of analyses have proven EBD’s building damage feature diversity,practical value in emergency mapping,and knowledge enrichment to the existing benchmark.EBD advances data renewal for natural disaster scenarios and supports the application of artificial intelligence in emergency response efforts.
文摘On the basis of formal grammar, this paper introduces operation set θ (e.g.,vector point multiply ·, vector couple multiply * , vector set multiply X, substitution H,function F, set plus ∪, et al.) and set of set' s types L (e.g., ordered set, continuous(descending) ordered set, unordered set, coupled set, coordinate, et al.), and generalizes them toother word types of natural language, thus presenting the generative grammar for words―anextensible 6-element formal system {V_T, V_N, θ, L, S, P}, and takeing time words in naturallanguage as example for detailed discussion. With the colorfulness of time words of naturallanguage, time words for different natural languages assume different meaning. Generative grammarfor time words can generate not only different time words, but also their semantics (Generativegrammar of Chomsky can only produce all right sentences instead of semantics), and then, generalizesthem to other word types, e.g., accurate measure words, adjectives, etc.
基金National Natural Science Foundation of China(Grant Nos.12101265,12026431,11701230,11731005)Qing Lan Project of Jiangsu Province+1 种基金the dual creative(innovative and entrepreneurial)talents project in Jiangsu Province(Grant No.JSSCBS20210973)China Postdoctoral Science Foundation(Grant No.2022M721392)。
文摘In this article,we consider the long-time behavior of extensible beams with nonlocal weak damping:ε(t)u_(tt)+Δ^(2)u-m(‖▽u‖^(2))Δu+‖u_(t)‖^(p_(u_(t)))+f(u)=h,whereε(t)is a decreasing function vanishing at infinity.Within the theory of process on time-dependent spaces,we investigate the existence of the time-dependent attractor by using the Condition(C_(t))method and more detailed estimates.The results obtained essentially improve and complete some previous works.
基金supported by the Spanish Ministry of Science and Technology through the Project "Partial Defferential Equations in Thermomechanics.Theory and Applications"(No. MTM2009-08150)
文摘For β∈ R,the authors consider the evolution system in the unknown variables u and ααttu+αxxxxu+αxxtα-(β+αxu L22)αxxu=f,αttα-αxxα-αxxtα-αxxtu=0 describing the dynamics of type III thermoelastic extensible beams,where the dissipation is entirely contributed by the second equation ruling the evolution of the thermal displacement α.Under natural boundary conditions,the existence of the global attractor of optimal regularity for the related dynamical system acting on the phase space of weak energy solutions is established.
基金Supported by National Natural Science Foundation of China(Grant No.11971418).
文摘In this paper,we offer a new construction of Stefan’s homological spectral sequence for Hopf Galois extensions,by using the double complex argument.Under the faithfully flat condition,a method for computation of Hochschild homology is given.
基金supported by National Natural Science Foundation of China(No.62301008)China Postdoctoral Science Foundation(No.2022M720272)New Cornerstone Science Foundation through the XPLORER PRIZE。
文摘Mobile communications are reaching out to every aspect of our daily life,necessitating highefficiency data transmission and support for diverse data types and communication scenarios.Polar codes have emerged as a promising solution due to their outstanding error-correction performance and low complexity.Unequal error protection(UEP)involves nonuniform error safeguarding for distinct data segments,achieving a fine balance between error resilience and resource allocation,which ultimately enhancing system performance and efficiency.In this paper,we propose a novel class of UEP rateless polar codes.The codes are designed based on matrix extension of polar codes,and elegant mapping and duplication operations are designed to achieve UEP property while preserving the overall performance of conventional polar codes.Superior UEP performance is attained without significant modifications to conventional polar codes,making it straightforward for compatibility with existing polar codes.A theoretical analysis is conducted on the block error rate and throughput efficiency performance.To the best of our knowledge,this work provides the first theoretical performance analysis of UEP rateless polar codes.Simulation results show that the proposed codes significantly outperform existing polar coding schemes in both block error rate and throughput efficiency.
基金funded by the Guangzhou Development Zone Science and Technology Project(2023GH02)the University of Macao(MYRG2022-00271-FST)research grants by the Science and Technology Development Fund of Macao(0032/2022/A)and(0019/2025/RIB1).
文摘Accurately recognizing driver distraction is critical for preventing traffic accidents,yet current detection models face two persistent challenges.First,distractions are often fine-grained,involving subtle cues such as brief eye closures or partial yawns,which are easily missed by conventional detectors.Second,in real-world scenarios,drivers frequently exhibit overlapping behaviors,such as simultaneously holding a cup,closing their eyes,and yawning,leading tomultiple detection boxes and degradedmodel performance.Existing approaches fail to robustly address these complexities,resulting in limited reliability in safety critical applications.To overcome these pain points,we propose YOLO-Drive,a novel framework that enhances YOLO-based driver monitoring with EfficientViM and Polarized Spectral–Spatial Attention(PSSA)modules.Efficient ViMprovides lightweight yet powerful global–local feature extraction,enabling accurate recognition of subtle driver states.PSSA further amplifies discriminative features across spatial and spectral domains,ensuring robust separation of concurrent distraction cues.By explicitly modeling fine-grained and overlapping behaviors,our approach delivers significant improvements in both precision and robustness.Extensive experiments on benchmark driver distraction datasets demonstrate that YOLO-Drive consistently out-performs stateof-the-art models,achieving higher detection accuracy while maintaining real-time efficiency.These results validate YOLO-Drive as a practical and reliable solution for advanced driver monitoring systems,addressing long-standing challenges of subtle cue recognition and multi-cue distraction detection.
文摘Article Article types Articles commonly fall into one of three main categories: Fulllength articles, Review articles and Short communications.Full-length articles are original, unpublished primary research. Extensions of work that has been published previously in short form such as a Communication are usually acceptable.Short communications must contain original and highly significant work whose high novelty warrants rapid publication.Review articles may be an authoritative overview of a field, a comprehensive literature reviews, or tutorial-style reference materials. Reviews are usually invited by the editor, but a topic may be proposed by an author via the editorial office.
文摘Article Article types Articles commonly fall into one of three main categories: Full-length articles, Review articles and Short communications.Full-length articles are original, unpublished primary research. Extensions of work that has been published previously in short form such as a Communication are usually acceptable.Short communications must contain original and highly significant work whose high novelty warrants rapid publication.
