The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that the...The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that they have received extensive attention. Due to the development of artificial intelligence and robotics, neurosynaptic devices have been given high expectations and requirements. The trend of functionalization, intelligence, and integration of computing and storage is obvious. In this review, the basic principles and types of neurosynaptic devices are summarized, the achievements of neurosynaptic devices for human perception systems are discussed and a prospect on the development trend is also given.展开更多
An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex en...An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex environment.In this paper,we provide a complete system design project,which includes the hardware parameters,software framework,algorithm principle,and optimization method.In addition,special experiments are designed to demonstrate that the performance of the proposed system meets the requirements of actual application.The experiment results show that the proposed system is valid to both standard obstacles and non-standard obstacles,and suitable for different weather and lighting conditions in complex environment.It announces that the proposed system is flexible and robust to the intelligent vehicle.展开更多
Embodied intelligent systems integrate perception,control,and decision-making within physical agents,and have become a cornerstone of modern aerospace,autonomous driving,and cooperative robotic applications.When opera...Embodied intelligent systems integrate perception,control,and decision-making within physical agents,and have become a cornerstone of modern aerospace,autonomous driving,and cooperative robotic applications.When operating in uncertain and dynamic environments,such systems must address challenges arising from incomplete sensing,unpredictable maneuvers,communication constraints,disturbances,and evolving network structures.展开更多
This study extends the self-propelled particle(SPP)model by incorporating a limited vision cone and local density sensing.The results reveal that clusters can simultaneously exhibit velocity polarization and spatial c...This study extends the self-propelled particle(SPP)model by incorporating a limited vision cone and local density sensing.The results reveal that clusters can simultaneously exhibit velocity polarization and spatial cohesion within specific ranges of vision angle and density threshold.The dependence of the dynamical features,including the order parameter and density variation,on the threshold and visual cone is investigated.Furthermore,a critical threshold is identified,which governs the transition between ordered and disordered states and is closely linked to density fluctuations and noise intensity.The clustering results show that the model is explained by the chasing mechanism responsible for cluster formation,density,and shape.These results may stimulate practical applications in swarm maneuvering.展开更多
Artificial tactile perception system,as an emerging sensor technology,is expected to provide human-like touch sensing ability for robots,prosthetics,and smart wearable equipment.The introduction of neuromorphic device...Artificial tactile perception system,as an emerging sensor technology,is expected to provide human-like touch sensing ability for robots,prosthetics,and smart wearable equipment.The introduction of neuromorphic devices could observably increase efficiency and reduce circuit complexity during signal conversion and pulse encoding operations.Herein,we demonstrate a two-dimensional tellurene(Te)based threshold switching(TS)memristive device with low high resistance state variation,which is successfully applied for constructing an artificial nociceptive and emulating a leaky integrate-and-fire(LIF)neuron.Furthermore,a self-powered artificial tactile perception system is constructed by combining this LIF neuron and piezoelectric nanogenerator device,demonstrating a self-protection function under mechanical stimulation,i.e.,hand retraction reflex.The bioinspired artificial tactile perception system indicates the potential of developing next-generation bio-inspired electronics and human-machine interaction systems.展开更多
Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world.Recently,artificial neurons constructed by memristor have been develo...Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world.Recently,artificial neurons constructed by memristor have been developed with good biological plausibility and density,but the filament-type memristor is limited by undesirable temporal and spatial variations,high electroforming voltage and limited reproducibility and the Mott insulator type memristor suffer from large driving current.Here,we propose a novel antiferroelectric artificial neu-ron(AFEAN)based on the intrinsic polarization and depolarization of AgNbO_(3)(ANO)antiferroelectric(AFE)films to address these challenges.The antiferroelectric memristor exhibits low power consumption(8.99 nW),excel-lent durability(-10^(5))and high stability.Using such an AFEAN,a spike-based antiferroelectric neuromorphic perception system(AFENPS)has been designed,which can encode light level and temperature signals into spikes,and further construct a spiking neural network(SNN)(784×196×10)for optical image classification and thermal imaging classification,achieving 95.34%and 95.76%recognition accuracy on the MNIST dataset,respectively.This work paves the way for the simulation of spiking neurons using antiferro-electric materials and promising a promising method for the development of highly efficient hardware for neuromorphic perception systems.展开更多
Urban forest parks deliver a wide spectrum of ecosystem services that support biodiversity,climate regulation,and public well-being;however,their perceived value among local visitors remains underexplored in Southeast...Urban forest parks deliver a wide spectrum of ecosystem services that support biodiversity,climate regulation,and public well-being;however,their perceived value among local visitors remains underexplored in Southeast Asia.This study investigates visitor perceptions and economic valuation of ecosystem services at Mount Pulai Forest Eco Park in Johor,Malaysia.Grounded in the Total Economic Value(TEV)framework and ecosystem service theory,the research employed a structured on-site survey of 392 visitors and applied the Contingent Valuation Method(CVM)to assess awareness,appreciation,and willingness-to-pay(WTP)for forest conservation.Findings revealed that visitors highly valued regulating services,such as air purification and flood mitigation(mean≈4.3/5),and supporting services,like biodiversity(mean≈4.2/5),while provisioning services were rated lower(mean≈2.8/5).Despite limited familiarity with ecological terminology,only 33%understood the term“ecosystem services”.In contrast,a substantial majority(79.1%)expressed WTP for conservation efforts,proposing an average annual contribution of MYR 51.32.Additionally,65%of respondents supported an entry fee model,suggesting a mean payment of MYR 3.07 per visit.These results underscore the economic and non-economic value that urban residents assign to forest benefits,offering new insights into conservation finance and public engagement.The study’s innovation lies in its integration of ecosystem perception with economic valuation in an urban forest setting,providing a replicable framework for sustainable park management across Southeast Asia.展开更多
Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement sys...Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement system based on electrical and optical sig-nals.A trajectory tracking algorithm for the screen-body was developed to visually measure the kinematics.Employing the principle oflaser reflection for distance measurement,optical techniques were performed to capture the kinematic information of the screen-plate.Ad-ditionally,by using Wi-Fi and Bluetooth transmission of electrical signals,tracer particle tracking technology was implemented to elec-trically measure the kinematic information of mineral particles.Consequently,intelligent fusion and perception of the kinematic informa-tion for the screen-body,screen-plate,and particles in the screening system have been achieved.展开更多
This study focuses on the ecosystem cultural service quality of Qu County Congren Valley Forest Park from the perspective of tourist perception.Using the Importance-Performance Analysis(IPA)questionnaire survey method...This study focuses on the ecosystem cultural service quality of Qu County Congren Valley Forest Park from the perspective of tourist perception.Using the Importance-Performance Analysis(IPA)questionnaire survey method and SPSS data analysis techniques,we systematically evaluate tourists’cognitive differences and improvement paths regarding the cultural service value of the scenic area.Based on the nonmaterial characteristics of ecosystem cultural services,combined with the unique Congren culture and natural landscape resources of Congren Valley,we designed a five-dimensional scale including natural landscape and ecological protection,cultural display and interpretation services,cultural activity participation and experience,infrastructure and supporting services,and safety management.This covers tourists’evaluations of the importance of elements such as cultural displays,interpretation systems,interactive activities,and facility support,as well as their actual satisfaction feedback.Through descriptive statistical analysis,reliability and validity testing,factor analysis,and IPA matrix analysis,we reveal the core contradictions and improvement directions perceived by tourists.The study found that the convenience of facilities such as signage,rest areas,toilets,roads,and the cleanliness of the scenic area are key areas for improvement.Additionally,different age groups perceive differences in the cultural service quality of the Congren Valley Forest Park ecosystem.The study concludes that tourists have a high level of concern for the convenience of scenic infrastructure and sanitary environment.Improving these facilities can help increase tourist satisfaction and the overall service quality of the scenic area.Simultaneously,meeting the needs of segmented markets and constructing a three-in-one service system of“deep excavation of cultural symbols–digital storytelling–immersive scenes”is recommended.展开更多
With the convergence of sensor technology,artificial intelligence,and the Internet of Things,intelligent vibration monitoring systems are undergoing transformative development.This evolution imposes stringent demands ...With the convergence of sensor technology,artificial intelligence,and the Internet of Things,intelligent vibration monitoring systems are undergoing transformative development.This evolution imposes stringent demands on the miniaturization,low power consumption,high integration,and environmental adaptability of transducers.Graphene,renowned for its superlative physicochemical attributes,holds significant promise for application in micro-and nanoelectromechanical systems(M/NEMS).However,the inherent central symmetry of graphene restricts its utility in piezoelectric devices.Inspired by the sensilla trichoidea of spiders,a threedimensional(3D)cilia-like monolayer graphene omnidirectional vibration transducer(CGVT)based on a stress-induced self-assembly mechanism is fabricated,demonstrating notable performance and high-temperature resistance.Furthermore,3D vibration vector decoding is realized via an omnidirectional decoupling algorithm based on one-dimensional convolutional neural networks(1DCNN)to achieve precise discrimination of vibration directions.The 3D bionic vibration-sensing system incorporates a spider web structure into a bionic cilia MEMS chip through a gold wire bonding process,enabling the realization of three distinct mechanisms for vibration detection and recognition.In particular,these devices are manufactured using silicon-based semiconductor processing techniques and MEMS fabrication methodologies,leading to a substantial reduction in the dimensions of individual components compared to traditional counterparts.展开更多
What is spacetime?How do we perceive this medium?How can we fit it into our everyday linear lives?How can we situate ourselves within it in our post-industrial worldview,in an unsustainable world?This philosophical es...What is spacetime?How do we perceive this medium?How can we fit it into our everyday linear lives?How can we situate ourselves within it in our post-industrial worldview,in an unsustainable world?This philosophical essay adopts a phenomenological method to interrogate the meaning of this fundamental dimension of reality.Spacetime is interpreted not merely as a physical structure but as a plastic field whose instability shapes inner and social life.Yet the contemporary human condition is marked by a profound alienation,much of which derives from a self-inflicted existential disorientation:I once chose exile and moved to a remote island in the Atlantic Ocean,becoming my own research material.In search of genuine contact with nature,the nonverbal appeared as a necessity.I turned to music as an archetypal language,in the Romantic sense of a medium offering pre-conceptual access to the real.I composed Light Atlas,a six-movement work aiming to capture the flight of seagulls and the eternal struggle between light and darkness.This led me back to physics,to my original question:the lived perception of spacetime.展开更多
As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety o...As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety of next-generation autonomous vehicles.In this work,we introduce a novel neural scene representation called Street Detection Gaussians(SDGs),which redefines urban 3D perception through an integrated architecture unifying reconstruction and detection.At its core lies the dynamic Gaussian representation,where time-conditioned parameterization enables simultaneous modeling of static environments and dynamic objects through physically constrained Gaussian evolution.The framework’s radar-enhanced perception module learns cross-modal correlations between sparse radardata anddense visual features,resulting ina22%reduction inocclusionerrors compared tovisiononly systems.A breakthrough differentiable rendering pipeline back-propagates semantic detection losses throughout the entire 3D reconstruction process,enabling the optimization of both geometric and semantic fidelity.Evaluated on the Waymo Open Dataset and the KITTI Dataset,the system achieves real-time performance(135 Frames Per Second(FPS)),photorealistic quality(Peak Signal-to-Noise Ratio(PSNR)34.9 dB),and state-of-the-art detection accuracy(78.1%Mean Average Precision(mAP)),demonstrating a 3.8×end-to-end improvement over existing hybrid approaches while enabling seamless integration with autonomous driving stacks.展开更多
Neuromorphic visual perception,by emulating the efficient information processing mechanisms of biological vision systems and integrating innovations in materials and device architectures,offers novel solutions for art...Neuromorphic visual perception,by emulating the efficient information processing mechanisms of biological vision systems and integrating innovations in materials and device architectures,offers novel solutions for artificial intelligence sensing.For instance,the incorporation of low-dimensional materials(e.g.,quantum dots,carbon nanotubes,and two-dimensional materials)optimizes device optoelectronic properties,while the synergistic design of organic semiconductors and oxide materials balances flexibility with complementary metal-oxide-semiconductor(CMOS)compatibility.Representative neuromorphic devices such as memristors and neuromorphic transistors address traditional vision system bottlenecks via near-sensor and in-sensor architectures in data transmission latency and energy consumption,offering a new paradigm for highly integrated,energy-efficient real-time perception.However,critical challenges—including device non-uniformity caused by material interface defects,system instability induced by memristor conductance drift,and environmental adaptability under complex illumination—remain barriers to scalable applications.This review comprehensively examines neuromorphic visual perception devices from the perspectives of device structure,operational mechanisms,materials,and applications.It explores the pivotal roles of memristors,electrolyte-gated transistors,and other neuromorphic devices in optical signal perception and information processing,with a focus on their implementations in visual perception tasks and future prospects.展开更多
Background:Social media plays an important role in shaping body image and self-perception,particularly among appearance-sensitive groups such as athletes.Although problematic social media use has been linked to body i...Background:Social media plays an important role in shaping body image and self-perception,particularly among appearance-sensitive groups such as athletes.Although problematic social media use has been linked to body image outcomes through processes such as social comparison,self-presentation,and evaluation sensitivity,these mechanisms remain underexplored among athletes with physical disabilities.This study aimed to examine the associations between social media use,addictive use patterns,and body image perception in this population,with a focus on these underlying psychological mechanisms.Methods:A total of 165 athletes with physical disability participated in this quantitative cross-sectional study.Data were collected through online surveys,including demographic questions,the Athlete Social Media Use Scale(content creation,usage frequency,and social media addiction subdimensions),and the Body Image Scale(negative perception,evaluation sensitivity,positive perception,and body modification).Parametric tests,correlation analyses,and group comparisons were performed to assess relationships between social media behaviors and body image dimensions.Results:Problematic social media use was moderately associated with higher negative body image and lower positive body image among athletes with physical disabilities(r=0.32–0.41,all p<0.001).Regression analysis indicated that overall social media use was a significant predictor of body image perception after controlling for demographic variables(β≈0.45,p<0.001),explaining approximately 19.5%of the variance.Mediation analyses using bootstrapping revealed that these psychological mechanisms partially mediated the relationship between problematic social media use and body image perceptions,with small-to-moderate indirect effects,indicating both statistical and practical significance.Conclusion:The findings indicate that not only general social media use but also addictive and problematic usage patterns are linked to vulnerable aspects of body image among athletes with physical disabilities.Increased exposure to idealized digital representations and upward social comparison processes may heighten sensitivity to external evaluation and undermine positive body perception.These results highlight the need for digital literacy initiatives,psychoeducational interventions,and supportive online environments that promote healthier social media engagement and body image among disabled athletes.展开更多
Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental ...Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental trajectories of discrimination perception,vocational identity,and psychological resilience in this population.It further examined the longitudinal mediating role of vocational identity in the relationship between discrimination perception and psychological resilience.Methods:A total of 526 students from five vocational high schools in Guangdong,China,were assessed via convenience sampling at two time points:baseline(T1,September 2023)and six-month follow-up(T2,March 2024).Measures of discrimination perception,psychological resilience,and vocational identity were administered.Data were analyzed using a cross-lagged panel model to test for bidirectional relationships.Results:Over the six-month period,students showed significant decreases in discrimination perception and vocational identity,but a significant increase in psychological resilience.The cross-lagged model revealed significant bidirectional relationships:discrimination perception and psychological resilience negatively predicted each other over time(β=−0.124,p<0.01;β=−0.200,p<0.001),while psychological resilience and vocational identity positively predicted each other(β=0.084,p<0.05;β=0.076,p<0.05).The mediation analysis revealed a dual-pathway mechanism.T1 discrimination perception exerted both a significant direct negative effect on T2 psychological resilience(β=−0.332,p<0.001)and a significant indirect positive effect via T1 vocational identity(indirect effect=0.020,95%CI[0.001,0.046]).This confirms a partial mediating role,indicating that vocational identity functions as a compensatory mechanism,transforming the experience of discrimination perception into a potential source of psychological resilience.Conclusions:For vocational high school students,perception of discrimination directly undermines psychological resilience,but also indirectly fosters it through the positive development of vocational identity.These findings highlight vocational identity as a pivotal mechanism in the complex relationship between social adversity and mental resilience.展开更多
Legged robots have considerable potential for traversing unstructured situations;nonetheless,their inflexible frameworks often constrain adaptability and obstacle negotiation.The study article presents a revolutionary...Legged robots have considerable potential for traversing unstructured situations;nonetheless,their inflexible frameworks often constrain adaptability and obstacle negotiation.The study article presents a revolutionary Soft Tri-Legged Robot(STLR)that improves movement and obstacle-avoidance skills by using a bio-inspired pneumatic artificial muscle(Bubble Artificial Muscles)and a bio-inspired tactile sensor(TacTip).The STLR is activated by BAMs,which are flexible,pneu-matic-driven actuators that provide fine control over forward,backward,and steering movements.Obstacle identification and avoidance are facilitated by the TacTip sensor,which delivers tactile input for traversing unstructured terrains.We delineate the mechanical features of the BAMs,assess the functionality of the robot's legs,and elaborate on the incorpora-tion of the tactile sensing system.Experimental results demonstrate that the STLR can effectively achieve multi-directional flexible movement and obstacle avoidance through a cross-modal perception-actuation mechanism.This study highlights the promise of soft robotics for search and rescue,medical aid,and autonomous exploration,while delineating difficulties and opportunities for future improvements in functionality and efficiency.展开更多
To address the challenge of achieving decentralized,scalable,and adaptive control for large-scale multiple unmanned aerial vehicle(multi-UAV)swarms in dynamic urban environments with obstacles and wind perturbations,w...To address the challenge of achieving decentralized,scalable,and adaptive control for large-scale multiple unmanned aerial vehicle(multi-UAV)swarms in dynamic urban environments with obstacles and wind perturbations,we proposed a hybrid framework integrating adaptive reinforcement learning(RL),multi-modal perception fusion,and enhanced pigeon flock optimization(PFO)with curiosity-driven exploration to enable robust autonomous and formation control.The framework leverages meta-learning to optimize RL policies for real-time adaptation,fuses sensor data for precise state estimation,and enhances PFO with learned leader-follower dynamics and exploration rewards to maintain cohesive formations and explore uncertain areas.For swarms of 10–30 UAVs,it achieves 34%faster convergence,61%reduced stability root mean square error(RMSE),88%fewer collisions and 85.6%–92.3%success rates in target detection and encirclement,outperforming standard multi-agent RL,pure PFO,and single-modality RL.Three-dimensional trajectory visualizations confirm cohesive formations,collision-free maneuvers,and efficient exploration in urban search-and-rescue scenarios.Innovations include meta-RL for rapid adaptation,multi-modal fusion for robust perception,and curiosity-driven PFO for scalable,decentralized control,advancing real-world multi-UAV swarm autonomy and coordination.展开更多
Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance.In this work,an artificial tactile percep...Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance.In this work,an artificial tactile perception system with integrated sensing,storage,and computing functions is designed based on silk fibroin composite memristors and piezoresistive pressure sensors.The sensors based on polydimethylsiloxane/silver nanowires can sense the external pressure stimulation with fast response speed.In addition,the composite memristor based on silk fibroin possesses good cyclic stability and synaptic plasticity simulation and acts as an artificial synapse to process tactile information.As a result,the integrated tactile perception system realizes the perception,storage,and processing of pressure information,demonstrating the possibility to simulate the biological tactile perception nervous system.This type of system may promote potential applications in artificial intelligence,such as autonomous driving,wearable,flexible electronic devices,and bionic robots.展开更多
The study on humanity response to global environment change is a new direction in the research of global change science, of which an important aspect is to study the adaptation strategies of human being to environment...The study on humanity response to global environment change is a new direction in the research of global change science, of which an important aspect is to study the adaptation strategies of human being to environmental changes in different regions. One reasonable and scientific adaptation strategy is based on not only scientific assessment of the impact of environmental change on society, but also correct estimation of the public perception of environmental change, whereas the research on the latter is terribly weak. This paper intends to understand the personality difference in public perception of environment in the western China primarily by establishing the assessment index system of nation environmental perception and analyzing the results of questionnaire survey in some regions of Shaanxi Province. The conclusions are as follows: 1) The state of public perception of disaster is one of the foundations of constituting and enforcing reasonable adaptation strategy to environmental change. 2) The personality differences of public perception of disaster appear as follows: female disaster perception is stronger than male;the order of disaster perception from strong to weak from the point of age characteristics is 20-30, 0-20, 40-50, 30-40, 50-60, 60 year old or over in turns; the order of disaster perception from strong to weak from the point of educational characteristics is senior high school, college, illiterate, junior high school, primary school, in turns; the order of disaster perception from strong to weak from the point of occupation characteristics is student, farmer, teacher, worker and functionary, in turns; the order of disaster perception from strong to weak from the point of habitat characteristics is city, countryside, towns, and metropolis in turns.展开更多
Intelligent perception means that with the assistance of artificial intelligence(AI)-motivated brain,flexible sensors achieve the ability of memory,learning,judgment,and reasoning about external information like the h...Intelligent perception means that with the assistance of artificial intelligence(AI)-motivated brain,flexible sensors achieve the ability of memory,learning,judgment,and reasoning about external information like the human brain.Due to the superiority of machine learning(ML)algorithms in data processing and intelligent recognition,intelligent perception systems possess the ability to match or even surpass human perception systems.However,the built-in flexible sensors in these systems need to work on dynamic and irregular surfaces,inevitably affecting the precision and fidelity of the acquired data.In recent years,the strategy of introducing the developed functional materials and innovative structures into flexible sensors has made some progress toward the above challenges,and with the blessing of ML algorithms,accurate perception and reasoning in various scenarios have been achieved.Here,the most representative functional materials and innovative structures for constructing flexible sensors are comprehensively reviewed,the research progress of intelligent perception systems based on flexible sensors and ML algorithms is further summarized,and the intersection of the two is expected to unlock new opportunities for next-stage AI development.展开更多
基金the financial support from the National Key R&D Program of China(Grant No.2018YFA0703200)the National Natural Science Foundation of China(Grant Nos.91833304,91833306,21922511,61890940,21633012,and 51873216)+2 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB30000000)the CAS Key Research Program of Frontier Sciences(Grant No.QYZDYSSW-SLH029)the CASC roucher Funding Scheme for Joint Laboratories。
文摘The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that they have received extensive attention. Due to the development of artificial intelligence and robotics, neurosynaptic devices have been given high expectations and requirements. The trend of functionalization, intelligence, and integration of computing and storage is obvious. In this review, the basic principles and types of neurosynaptic devices are summarized, the achievements of neurosynaptic devices for human perception systems are discussed and a prospect on the development trend is also given.
基金supported by the National Natural Science Foundation of China(61673381)the National Key R&D Program of China(2018AAA0103103)the Science and Technology Development Fund(0024/2018/A1)。
文摘An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex environment.In this paper,we provide a complete system design project,which includes the hardware parameters,software framework,algorithm principle,and optimization method.In addition,special experiments are designed to demonstrate that the performance of the proposed system meets the requirements of actual application.The experiment results show that the proposed system is valid to both standard obstacles and non-standard obstacles,and suitable for different weather and lighting conditions in complex environment.It announces that the proposed system is flexible and robust to the intelligent vehicle.
文摘Embodied intelligent systems integrate perception,control,and decision-making within physical agents,and have become a cornerstone of modern aerospace,autonomous driving,and cooperative robotic applications.When operating in uncertain and dynamic environments,such systems must address challenges arising from incomplete sensing,unpredictable maneuvers,communication constraints,disturbances,and evolving network structures.
基金Project supported by the Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX240139)funded by the Youth Independent Innovation Fund of PLA Army Engineering University(Grant No.KYJBJKQTZQ23006)。
文摘This study extends the self-propelled particle(SPP)model by incorporating a limited vision cone and local density sensing.The results reveal that clusters can simultaneously exhibit velocity polarization and spatial cohesion within specific ranges of vision angle and density threshold.The dependence of the dynamical features,including the order parameter and density variation,on the threshold and visual cone is investigated.Furthermore,a critical threshold is identified,which governs the transition between ordered and disordered states and is closely linked to density fluctuations and noise intensity.The clustering results show that the model is explained by the chasing mechanism responsible for cluster formation,density,and shape.These results may stimulate practical applications in swarm maneuvering.
基金supported by the National Science Fund for Distinguished Young Scholars(52025022)the funding from Jilin Province(20240210001GX)+1 种基金the Scientific Research Innovation Capability Support Project for Young Faculty(ZYGXQNJSKYCXNLZCXM-I10)the National Natural Science Foundation of China(U23A20568,51732003,52472149,52072065,and 52372137).
文摘Artificial tactile perception system,as an emerging sensor technology,is expected to provide human-like touch sensing ability for robots,prosthetics,and smart wearable equipment.The introduction of neuromorphic devices could observably increase efficiency and reduce circuit complexity during signal conversion and pulse encoding operations.Herein,we demonstrate a two-dimensional tellurene(Te)based threshold switching(TS)memristive device with low high resistance state variation,which is successfully applied for constructing an artificial nociceptive and emulating a leaky integrate-and-fire(LIF)neuron.Furthermore,a self-powered artificial tactile perception system is constructed by combining this LIF neuron and piezoelectric nanogenerator device,demonstrating a self-protection function under mechanical stimulation,i.e.,hand retraction reflex.The bioinspired artificial tactile perception system indicates the potential of developing next-generation bio-inspired electronics and human-machine interaction systems.
基金Funding information National Key R&D Plan“Nano Frontier”Key Special Project,Grant/Award Number:2021YFA1200502Cultivation Projects of National Major R&D Project,Grant/Award Number:92164109+15 种基金National Natural Science Foundation of China,Grant/Award Numbers:61874158,62004056,62104058Special Project of Strategic Leading Science and Technology of Chinese Academy of Sciences,Grant/Award Number:XDB44000000-7Key Projects Supported by the Regional Innovation and Development Joint Fund,Grant/Award Number:U23A20365Hebei Province High-Level Talent Funding Project,Grant/Award Number:B20231003Yanzhao Young Scientist Project of Hebei Province,Grant/Award Number:F2023201076Key R&D Plan Projects in Hebei Province,Grant/Award Number:22311101DHebei Basic Research Special Key Project,Grant/Award Number:F2021201045Support Program for the Top Young Talents of Hebei Province,Grant/Award Number:70280011807Supporting Plan for 100 Excellent Innovative Talents in Colleges and Universities of Hebei Province,Grant/Award Number:SLRC2019018Natural Science Foundation of Hebei Province,Grant/Award Numbers:F2022201054,F2021201022,F2022201002,F2021201045Interdisciplinary Research Program of Natural Science of Hebei University,Grant/Award Number:DXK202101Institute of Life Sciences and Green Development,Grant/Award Number:521100311Outstanding Young Scientific Research and Innovation Team of Hebei University,Grant/Award Number:605020521001Special Support Funds for National High Level Talents,Grant/Award Number:041500120001Advanced Talents Incubation Program of the Hebei University,Grant/Award Numbers:521000981426,521100221071,521000981363,521100224232Science and Technology Project of Hebei Education Department,Grant/Award Numbers:QN2020178,QN2021026。
文摘Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world.Recently,artificial neurons constructed by memristor have been developed with good biological plausibility and density,but the filament-type memristor is limited by undesirable temporal and spatial variations,high electroforming voltage and limited reproducibility and the Mott insulator type memristor suffer from large driving current.Here,we propose a novel antiferroelectric artificial neu-ron(AFEAN)based on the intrinsic polarization and depolarization of AgNbO_(3)(ANO)antiferroelectric(AFE)films to address these challenges.The antiferroelectric memristor exhibits low power consumption(8.99 nW),excel-lent durability(-10^(5))and high stability.Using such an AFEAN,a spike-based antiferroelectric neuromorphic perception system(AFENPS)has been designed,which can encode light level and temperature signals into spikes,and further construct a spiking neural network(SNN)(784×196×10)for optical image classification and thermal imaging classification,achieving 95.34%and 95.76%recognition accuracy on the MNIST dataset,respectively.This work paves the way for the simulation of spiking neurons using antiferro-electric materials and promising a promising method for the development of highly efficient hardware for neuromorphic perception systems.
基金funded by Universiti Kebangsaan Malaysia through research grant(SK-2024-006).
文摘Urban forest parks deliver a wide spectrum of ecosystem services that support biodiversity,climate regulation,and public well-being;however,their perceived value among local visitors remains underexplored in Southeast Asia.This study investigates visitor perceptions and economic valuation of ecosystem services at Mount Pulai Forest Eco Park in Johor,Malaysia.Grounded in the Total Economic Value(TEV)framework and ecosystem service theory,the research employed a structured on-site survey of 392 visitors and applied the Contingent Valuation Method(CVM)to assess awareness,appreciation,and willingness-to-pay(WTP)for forest conservation.Findings revealed that visitors highly valued regulating services,such as air purification and flood mitigation(mean≈4.3/5),and supporting services,like biodiversity(mean≈4.2/5),while provisioning services were rated lower(mean≈2.8/5).Despite limited familiarity with ecological terminology,only 33%understood the term“ecosystem services”.In contrast,a substantial majority(79.1%)expressed WTP for conservation efforts,proposing an average annual contribution of MYR 51.32.Additionally,65%of respondents supported an entry fee model,suggesting a mean payment of MYR 3.07 per visit.These results underscore the economic and non-economic value that urban residents assign to forest benefits,offering new insights into conservation finance and public engagement.The study’s innovation lies in its integration of ecosystem perception with economic valuation in an urban forest setting,providing a replicable framework for sustainable park management across Southeast Asia.
基金financially supported by ChinaNational Funds for Distinguished Young Scientists(No.52125403)National Natural Science Foundation of China(Nos.52261135540 and 52404303)Science and Tech-nology Plan Special Fund Project of Jiangsu Province,China(No.BZ2024046)。
文摘Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement system based on electrical and optical sig-nals.A trajectory tracking algorithm for the screen-body was developed to visually measure the kinematics.Employing the principle oflaser reflection for distance measurement,optical techniques were performed to capture the kinematic information of the screen-plate.Ad-ditionally,by using Wi-Fi and Bluetooth transmission of electrical signals,tracer particle tracking technology was implemented to elec-trically measure the kinematic information of mineral particles.Consequently,intelligent fusion and perception of the kinematic informa-tion for the screen-body,screen-plate,and particles in the screening system have been achieved.
基金“Chongqing Graduate Student Scientific Research Innovation Project”(YKJCX2420813)。
文摘This study focuses on the ecosystem cultural service quality of Qu County Congren Valley Forest Park from the perspective of tourist perception.Using the Importance-Performance Analysis(IPA)questionnaire survey method and SPSS data analysis techniques,we systematically evaluate tourists’cognitive differences and improvement paths regarding the cultural service value of the scenic area.Based on the nonmaterial characteristics of ecosystem cultural services,combined with the unique Congren culture and natural landscape resources of Congren Valley,we designed a five-dimensional scale including natural landscape and ecological protection,cultural display and interpretation services,cultural activity participation and experience,infrastructure and supporting services,and safety management.This covers tourists’evaluations of the importance of elements such as cultural displays,interpretation systems,interactive activities,and facility support,as well as their actual satisfaction feedback.Through descriptive statistical analysis,reliability and validity testing,factor analysis,and IPA matrix analysis,we reveal the core contradictions and improvement directions perceived by tourists.The study found that the convenience of facilities such as signage,rest areas,toilets,roads,and the cleanliness of the scenic area are key areas for improvement.Additionally,different age groups perceive differences in the cultural service quality of the Congren Valley Forest Park ecosystem.The study concludes that tourists have a high level of concern for the convenience of scenic infrastructure and sanitary environment.Improving these facilities can help increase tourist satisfaction and the overall service quality of the scenic area.Simultaneously,meeting the needs of segmented markets and constructing a three-in-one service system of“deep excavation of cultural symbols–digital storytelling–immersive scenes”is recommended.
基金supported by the Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project(No.2024ZD1003100)the National Key R&D Program of China(Grant No.2024YFC2813700)。
文摘With the convergence of sensor technology,artificial intelligence,and the Internet of Things,intelligent vibration monitoring systems are undergoing transformative development.This evolution imposes stringent demands on the miniaturization,low power consumption,high integration,and environmental adaptability of transducers.Graphene,renowned for its superlative physicochemical attributes,holds significant promise for application in micro-and nanoelectromechanical systems(M/NEMS).However,the inherent central symmetry of graphene restricts its utility in piezoelectric devices.Inspired by the sensilla trichoidea of spiders,a threedimensional(3D)cilia-like monolayer graphene omnidirectional vibration transducer(CGVT)based on a stress-induced self-assembly mechanism is fabricated,demonstrating notable performance and high-temperature resistance.Furthermore,3D vibration vector decoding is realized via an omnidirectional decoupling algorithm based on one-dimensional convolutional neural networks(1DCNN)to achieve precise discrimination of vibration directions.The 3D bionic vibration-sensing system incorporates a spider web structure into a bionic cilia MEMS chip through a gold wire bonding process,enabling the realization of three distinct mechanisms for vibration detection and recognition.In particular,these devices are manufactured using silicon-based semiconductor processing techniques and MEMS fabrication methodologies,leading to a substantial reduction in the dimensions of individual components compared to traditional counterparts.
文摘What is spacetime?How do we perceive this medium?How can we fit it into our everyday linear lives?How can we situate ourselves within it in our post-industrial worldview,in an unsustainable world?This philosophical essay adopts a phenomenological method to interrogate the meaning of this fundamental dimension of reality.Spacetime is interpreted not merely as a physical structure but as a plastic field whose instability shapes inner and social life.Yet the contemporary human condition is marked by a profound alienation,much of which derives from a self-inflicted existential disorientation:I once chose exile and moved to a remote island in the Atlantic Ocean,becoming my own research material.In search of genuine contact with nature,the nonverbal appeared as a necessity.I turned to music as an archetypal language,in the Romantic sense of a medium offering pre-conceptual access to the real.I composed Light Atlas,a six-movement work aiming to capture the flight of seagulls and the eternal struggle between light and darkness.This led me back to physics,to my original question:the lived perception of spacetime.
文摘As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety of next-generation autonomous vehicles.In this work,we introduce a novel neural scene representation called Street Detection Gaussians(SDGs),which redefines urban 3D perception through an integrated architecture unifying reconstruction and detection.At its core lies the dynamic Gaussian representation,where time-conditioned parameterization enables simultaneous modeling of static environments and dynamic objects through physically constrained Gaussian evolution.The framework’s radar-enhanced perception module learns cross-modal correlations between sparse radardata anddense visual features,resulting ina22%reduction inocclusionerrors compared tovisiononly systems.A breakthrough differentiable rendering pipeline back-propagates semantic detection losses throughout the entire 3D reconstruction process,enabling the optimization of both geometric and semantic fidelity.Evaluated on the Waymo Open Dataset and the KITTI Dataset,the system achieves real-time performance(135 Frames Per Second(FPS)),photorealistic quality(Peak Signal-to-Noise Ratio(PSNR)34.9 dB),and state-of-the-art detection accuracy(78.1%Mean Average Precision(mAP)),demonstrating a 3.8×end-to-end improvement over existing hybrid approaches while enabling seamless integration with autonomous driving stacks.
基金supported by Post-Moore Major Project of the National Natural Science Foundation of China(Grant No.92364204)Zhejiang Province introduces and cultivates leading innovation and entrepreneurship teams(Grant No.2023R01011)+1 种基金Zhejiang Provincial Natural Science Foundation of China(Grant No.LMS25F040005)the Key R&D Program of Zhejiang(Grant No.2024SSYS0042)。
文摘Neuromorphic visual perception,by emulating the efficient information processing mechanisms of biological vision systems and integrating innovations in materials and device architectures,offers novel solutions for artificial intelligence sensing.For instance,the incorporation of low-dimensional materials(e.g.,quantum dots,carbon nanotubes,and two-dimensional materials)optimizes device optoelectronic properties,while the synergistic design of organic semiconductors and oxide materials balances flexibility with complementary metal-oxide-semiconductor(CMOS)compatibility.Representative neuromorphic devices such as memristors and neuromorphic transistors address traditional vision system bottlenecks via near-sensor and in-sensor architectures in data transmission latency and energy consumption,offering a new paradigm for highly integrated,energy-efficient real-time perception.However,critical challenges—including device non-uniformity caused by material interface defects,system instability induced by memristor conductance drift,and environmental adaptability under complex illumination—remain barriers to scalable applications.This review comprehensively examines neuromorphic visual perception devices from the perspectives of device structure,operational mechanisms,materials,and applications.It explores the pivotal roles of memristors,electrolyte-gated transistors,and other neuromorphic devices in optical signal perception and information processing,with a focus on their implementations in visual perception tasks and future prospects.
基金supported by the İnonu University Scientific Research Projects Unit(SBA-2026-4657),Türkiye.
文摘Background:Social media plays an important role in shaping body image and self-perception,particularly among appearance-sensitive groups such as athletes.Although problematic social media use has been linked to body image outcomes through processes such as social comparison,self-presentation,and evaluation sensitivity,these mechanisms remain underexplored among athletes with physical disabilities.This study aimed to examine the associations between social media use,addictive use patterns,and body image perception in this population,with a focus on these underlying psychological mechanisms.Methods:A total of 165 athletes with physical disability participated in this quantitative cross-sectional study.Data were collected through online surveys,including demographic questions,the Athlete Social Media Use Scale(content creation,usage frequency,and social media addiction subdimensions),and the Body Image Scale(negative perception,evaluation sensitivity,positive perception,and body modification).Parametric tests,correlation analyses,and group comparisons were performed to assess relationships between social media behaviors and body image dimensions.Results:Problematic social media use was moderately associated with higher negative body image and lower positive body image among athletes with physical disabilities(r=0.32–0.41,all p<0.001).Regression analysis indicated that overall social media use was a significant predictor of body image perception after controlling for demographic variables(β≈0.45,p<0.001),explaining approximately 19.5%of the variance.Mediation analyses using bootstrapping revealed that these psychological mechanisms partially mediated the relationship between problematic social media use and body image perceptions,with small-to-moderate indirect effects,indicating both statistical and practical significance.Conclusion:The findings indicate that not only general social media use but also addictive and problematic usage patterns are linked to vulnerable aspects of body image among athletes with physical disabilities.Increased exposure to idealized digital representations and upward social comparison processes may heighten sensitivity to external evaluation and undermine positive body perception.These results highlight the need for digital literacy initiatives,psychoeducational interventions,and supportive online environments that promote healthier social media engagement and body image among disabled athletes.
基金supported by the Guangdong Provincial Philosophy and Social Science“14th Five-Year Plan”Discipline Co-Construction Project(Grant No.GD22XJY14)the 2022 Guangdong Provincial Higher Education Teaching Reform Project(Grant No.Yue Jiao Gao[2023]4)Guangdong Polytechnic Normal University’s Project for Enhancing the Research Capacity of Doctoral Application Institution(Grant No.22GPNUZDJS48).
文摘Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental trajectories of discrimination perception,vocational identity,and psychological resilience in this population.It further examined the longitudinal mediating role of vocational identity in the relationship between discrimination perception and psychological resilience.Methods:A total of 526 students from five vocational high schools in Guangdong,China,were assessed via convenience sampling at two time points:baseline(T1,September 2023)and six-month follow-up(T2,March 2024).Measures of discrimination perception,psychological resilience,and vocational identity were administered.Data were analyzed using a cross-lagged panel model to test for bidirectional relationships.Results:Over the six-month period,students showed significant decreases in discrimination perception and vocational identity,but a significant increase in psychological resilience.The cross-lagged model revealed significant bidirectional relationships:discrimination perception and psychological resilience negatively predicted each other over time(β=−0.124,p<0.01;β=−0.200,p<0.001),while psychological resilience and vocational identity positively predicted each other(β=0.084,p<0.05;β=0.076,p<0.05).The mediation analysis revealed a dual-pathway mechanism.T1 discrimination perception exerted both a significant direct negative effect on T2 psychological resilience(β=−0.332,p<0.001)and a significant indirect positive effect via T1 vocational identity(indirect effect=0.020,95%CI[0.001,0.046]).This confirms a partial mediating role,indicating that vocational identity functions as a compensatory mechanism,transforming the experience of discrimination perception into a potential source of psychological resilience.Conclusions:For vocational high school students,perception of discrimination directly undermines psychological resilience,but also indirectly fosters it through the positive development of vocational identity.These findings highlight vocational identity as a pivotal mechanism in the complex relationship between social adversity and mental resilience.
基金the Natural Science Foundation of China(Project for Young Scientists:Grant No.52105010,Regular Project:Grant No.62173096)Natural Science Foundationof Guangdong Province(Regular Project:Grant No.2025A1515012124,Grant No.2022A1515010327)Guangdong-Hong Kong-Macao Key Laboratory of Multi-scaleInformation Fusion and Collaborative Optimization Control Manufacturing Process.
文摘Legged robots have considerable potential for traversing unstructured situations;nonetheless,their inflexible frameworks often constrain adaptability and obstacle negotiation.The study article presents a revolutionary Soft Tri-Legged Robot(STLR)that improves movement and obstacle-avoidance skills by using a bio-inspired pneumatic artificial muscle(Bubble Artificial Muscles)and a bio-inspired tactile sensor(TacTip).The STLR is activated by BAMs,which are flexible,pneu-matic-driven actuators that provide fine control over forward,backward,and steering movements.Obstacle identification and avoidance are facilitated by the TacTip sensor,which delivers tactile input for traversing unstructured terrains.We delineate the mechanical features of the BAMs,assess the functionality of the robot's legs,and elaborate on the incorpora-tion of the tactile sensing system.Experimental results demonstrate that the STLR can effectively achieve multi-directional flexible movement and obstacle avoidance through a cross-modal perception-actuation mechanism.This study highlights the promise of soft robotics for search and rescue,medical aid,and autonomous exploration,while delineating difficulties and opportunities for future improvements in functionality and efficiency.
基金supported by the National Natural Science Foundation of China(No.62350048)。
文摘To address the challenge of achieving decentralized,scalable,and adaptive control for large-scale multiple unmanned aerial vehicle(multi-UAV)swarms in dynamic urban environments with obstacles and wind perturbations,we proposed a hybrid framework integrating adaptive reinforcement learning(RL),multi-modal perception fusion,and enhanced pigeon flock optimization(PFO)with curiosity-driven exploration to enable robust autonomous and formation control.The framework leverages meta-learning to optimize RL policies for real-time adaptation,fuses sensor data for precise state estimation,and enhances PFO with learned leader-follower dynamics and exploration rewards to maintain cohesive formations and explore uncertain areas.For swarms of 10–30 UAVs,it achieves 34%faster convergence,61%reduced stability root mean square error(RMSE),88%fewer collisions and 85.6%–92.3%success rates in target detection and encirclement,outperforming standard multi-agent RL,pure PFO,and single-modality RL.Three-dimensional trajectory visualizations confirm cohesive formations,collision-free maneuvers,and efficient exploration in urban search-and-rescue scenarios.Innovations include meta-RL for rapid adaptation,multi-modal fusion for robust perception,and curiosity-driven PFO for scalable,decentralized control,advancing real-world multi-UAV swarm autonomy and coordination.
基金supported by Shanghai Rising-Star Program(22QA1400400)the Basic Research Project of the Science and Technology Commission of Shanghai Municipality(21JC1400100)+1 种基金the National Natural Science Foundation of China(52173031)the Oriental Talent Plan(Leading Talent Program,152)。
文摘Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance.In this work,an artificial tactile perception system with integrated sensing,storage,and computing functions is designed based on silk fibroin composite memristors and piezoresistive pressure sensors.The sensors based on polydimethylsiloxane/silver nanowires can sense the external pressure stimulation with fast response speed.In addition,the composite memristor based on silk fibroin possesses good cyclic stability and synaptic plasticity simulation and acts as an artificial synapse to process tactile information.As a result,the integrated tactile perception system realizes the perception,storage,and processing of pressure information,demonstrating the possibility to simulate the biological tactile perception nervous system.This type of system may promote potential applications in artificial intelligence,such as autonomous driving,wearable,flexible electronic devices,and bionic robots.
文摘The study on humanity response to global environment change is a new direction in the research of global change science, of which an important aspect is to study the adaptation strategies of human being to environmental changes in different regions. One reasonable and scientific adaptation strategy is based on not only scientific assessment of the impact of environmental change on society, but also correct estimation of the public perception of environmental change, whereas the research on the latter is terribly weak. This paper intends to understand the personality difference in public perception of environment in the western China primarily by establishing the assessment index system of nation environmental perception and analyzing the results of questionnaire survey in some regions of Shaanxi Province. The conclusions are as follows: 1) The state of public perception of disaster is one of the foundations of constituting and enforcing reasonable adaptation strategy to environmental change. 2) The personality differences of public perception of disaster appear as follows: female disaster perception is stronger than male;the order of disaster perception from strong to weak from the point of age characteristics is 20-30, 0-20, 40-50, 30-40, 50-60, 60 year old or over in turns; the order of disaster perception from strong to weak from the point of educational characteristics is senior high school, college, illiterate, junior high school, primary school, in turns; the order of disaster perception from strong to weak from the point of occupation characteristics is student, farmer, teacher, worker and functionary, in turns; the order of disaster perception from strong to weak from the point of habitat characteristics is city, countryside, towns, and metropolis in turns.
基金Basic Science Research Program through the National Research Foundation of Korea(NRF),Grant/Award Numbers:2018R1D1A1A09083353,2018R1A6A1A03025242Korea Ministry of Environment(MOE)Graduate School specialized in Integrated Pollution Prevention and Control ProjectResearch Grant of Kwangwoon University in 2022。
文摘Intelligent perception means that with the assistance of artificial intelligence(AI)-motivated brain,flexible sensors achieve the ability of memory,learning,judgment,and reasoning about external information like the human brain.Due to the superiority of machine learning(ML)algorithms in data processing and intelligent recognition,intelligent perception systems possess the ability to match or even surpass human perception systems.However,the built-in flexible sensors in these systems need to work on dynamic and irregular surfaces,inevitably affecting the precision and fidelity of the acquired data.In recent years,the strategy of introducing the developed functional materials and innovative structures into flexible sensors has made some progress toward the above challenges,and with the blessing of ML algorithms,accurate perception and reasoning in various scenarios have been achieved.Here,the most representative functional materials and innovative structures for constructing flexible sensors are comprehensively reviewed,the research progress of intelligent perception systems based on flexible sensors and ML algorithms is further summarized,and the intersection of the two is expected to unlock new opportunities for next-stage AI development.
