Remote sensing object detection aims to identify and localize specific targets in satellite or aerial imagery.Spiking Neural Networks(SNNs),benefiting from their implicit feedback-based and event-driven brain-inspired...Remote sensing object detection aims to identify and localize specific targets in satellite or aerial imagery.Spiking Neural Networks(SNNs),benefiting from their implicit feedback-based and event-driven brain-inspired dynamics,offer a promising solution to alleviate the high energy consumption of conventional ANN-based detection models.However,existing SNN-based approaches for remote sensing object detection—particularly for small,arbitrarily rotated objects—are still in their infancy and suffer from a substantial performance gap compared with ANN counterparts.In this work,we draw inspiration from the hierarchical sparse perception mechanisms of biological vision and integrate dynamic receptive field modulation into the encoding stage,proposing a high-precision spiking object detection framework tailored for remote sensing image.Specifically,we design a Hierarchical Feedback-based Gaussian Encoding(HFG)scheme,in which the parameters of Gaussian kernels are dynamically adjusted through spike-triggered top-down feedback connections.This mechanism enables the encoding process to adaptively respond to complex geometric variations of remote sensing objects,including rotation and scale changes.Based on the proposed encoding strategy,we develop DGRDet(Dynamic Gaussian Receptive Field Encoding-based Spiking Neural Networks for Remote Sensing Object Detection),a directly trained deep SNN detector for remote sensing image.Extensive evaluations on the large-scale public DOTA dataset demonstrate that DGRDet achieves competitive detection accuracy,outperforming existing SNN-based object detection methods.Moreover,compared with ANN models of comparable detection performance,DGRDet reduces spike activity by 81.31%and requires only 0.12%of the inference energy consumption,achieving a favorable balance between detection accuracy,efficiency,and energy efficiency.展开更多
In order to optionally regulate embedding capacity and embedding transparency according to user's requirements in voice-over-IP(VoIP) steganography,a dynamic matrix encoding strategy(DMES) was presented.Differing ...In order to optionally regulate embedding capacity and embedding transparency according to user's requirements in voice-over-IP(VoIP) steganography,a dynamic matrix encoding strategy(DMES) was presented.Differing from the traditional matrix encoding strategy,DMES dynamically chose the size of each message group in a given set of adoptable message sizes.The appearance possibilities of all adoptable sizes were set in accordance with the desired embedding performance(embedding rate or bit-change rate).Accordingly,a searching algorithm that could provide an optimal combination of appearance possibilities was proposed.Furthermore,the roulette wheel algorithm was employed to determine the size of each message group according to the optimal combination of appearance possibilities.The effectiveness of DMES was evaluated in StegVoIP,which is a typical covert communication system based on VoIP.The experimental results demonstrate that DMES can adjust embedding capacity and embedding transparency effectively and flexibly,and achieve the desired embedding performance in any case.For the desired embedding rate,the average errors are not more than 0.000 8,and the standard deviations are not more than 0.002 0;for the desired bit-change rate,the average errors are not more than 0.001 4,and the standard deviations are not more than 0.002 6.展开更多
Persistent luminescence has emerged as a robust platform for anti-counterfeiting applications due to its exceptional spatial-temporal decoding capability.Yet,conventional strategies often suffer from uniform emission ...Persistent luminescence has emerged as a robust platform for anti-counterfeiting applications due to its exceptional spatial-temporal decoding capability.Yet,conventional strategies often suffer from uniform emission patterns and predictable replication,compromising their security.Herein,we present“Snap-PLNPs”—near-infrared emitting CaS:Tm persistent luminescent nanoparticles engineered to undergo aqueous-triggered self-destruction via a hydrolysis mechanism.In contrast to traditional photophysical approaches,this chemically initiated degradation irreversibly terminates the luminescence,ensuring that security information can be decoded only once.Moreover,by incorporating an additional SiO2shell,we introduce a programmable delay in the hydrolysis process,thereby modulating the duration of the emission and adding a temporal regulation layer.This dual control—combining instantaneous chemical deactivation with time-resolved modulation—establishes a dynamic hierarchical security encoding framework.When embedded into laser-engraved logos,these CaS:Tm@SiO2hybrids enable a novel triple-layer anti-counterfeiting strategy that integrates spatial,temporal,and chemical dimensions.Our results underscore the potential of Snap-PLNPs as a next-generation platform for robust and adaptive security technologies.展开更多
We present a method based on least-squares reverse time migration with plane-wave encoding (P-LSRTM) for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding fun...We present a method based on least-squares reverse time migration with plane-wave encoding (P-LSRTM) for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding function and fill constant velocity to the area above rugged topography in the model so that P-LSRTM can be directly performed from rugged surface in the way same to shot domain reverse time migration. In order to improve efficiency and reduce I/O (input/output) cost, the dynamic en- coding strategy and hybrid encoding strategy are implemented. Numerical test on SEG rugged topography model show that P-LSRTM can suppress migration artifacts in the migration image, and compensate am- plitude in the middle-deep part efficiently. Without data correction, P-LSRTM can produce a satisfying image of near-surface if we could get an accurate near-surface velocity model. Moreover, the pre-stack P- LSRTM is more robust than conventional RTM in the presence of migration velocity errors.展开更多
The authors proposed a symplectic stereo-modeling method(SSM)in the Birkhoffian dynam-ics and apply it to the visco-acoustic least-squares reverse time migration(LSRTM).The SSM adopts ste-reo-modeling operator in spac...The authors proposed a symplectic stereo-modeling method(SSM)in the Birkhoffian dynam-ics and apply it to the visco-acoustic least-squares reverse time migration(LSRTM).The SSM adopts ste-reo-modeling operator in space and symplectic Runge-Kutta scheme in time,resulting in great ability in suppressing numerical dispersion and long-time computing.These advantages are further confirmed by numerical dispersion analysis,long-time computation test and computational efficiency comparison.After these theoretical analyses and experiments,acoustic and visco-acoustic LSRTM are tested and compared between SSM method and the conventional symplectic method(CSM)using the fault and marmousi models.Meanwhile,dynamic source encoding and exponential decay moving average gradients method are adopted to reduce the computation cost and improve the convergence rate.The imaging results show that LSRTM based on visco-acoustic wave equations effectively takes into account the influence of viscosity can therefore compensate for the amplitude attenuation.Besides,SSM method not only has high numerical accuracy and computational efficiency,but also performs effectively in LSRTM.展开更多
A family of array codes with a maximum distance separable(MDS) property, named L codes, is proposed. The greatest strength of L codes is that the number of rows(columns) in a disk array does not be restricted by t...A family of array codes with a maximum distance separable(MDS) property, named L codes, is proposed. The greatest strength of L codes is that the number of rows(columns) in a disk array does not be restricted by the prime number, and more disks can be dynamically appended in a running storage system. L codes can tolerate at least two disk erasures and some sector loss simultaneously, and can tolerate multiple disk erasures(greater than or equal to three) under a certain condition. Because only XOR operations are needed in the process of encoding and decoding, L codes have very high computing efficiency which is roughly equivalent to X codes. Analysis shows that L codes are particularly suitable for large-scale storage systems.展开更多
Presuppositional information is encoded in linguistic expressions by means of so-called presupposition triggers or presupposition inducers. These items are linguistic means that signal that certain information is take...Presuppositional information is encoded in linguistic expressions by means of so-called presupposition triggers or presupposition inducers. These items are linguistic means that signal that certain information is taken for granted in the linguistic or non-linguistic context. One task for presupposition theory is to identify these triggers, explain what type of information they induce, and why they do so. A second task is to explain why and under what circumstances the information thus induced is preserved as an intuitive inference of the inducing sentence. The latter problem is the projection problem for presuppositions. Theories of presupposition can be divided into the following main classes: semantic, pragmatic, and dynamic theories. Semantic theories explain presupposition as a semantic relation between sentences. Pragmatic theories take the information a speaker takes for granted in making an assertion as their starting point. Dynamic theories locate sentence meaning in its context-change potential: presuppositional information should be part of input context as a precondition for contextual update. The two major variants are the satisfaction account and the anaphoric account. The former construes presuppositions as definedness conditions on input contexts. According to the anaphoric account presuppositional expressions are anaphors that should be bound to a contextually given antecedent.展开更多
Computational spectrometers offer miniaturization potential but face the spatial uniformity requirement of incident light and trade-offs between footprint and performance.Here we report a nano-kirigami spectrometer ac...Computational spectrometers offer miniaturization potential but face the spatial uniformity requirement of incident light and trade-offs between footprint and performance.Here we report a nano-kirigami spectrometer achieving~5 nm resolution within a 2.5 μm×2.5 μm footprint.The device uses voltage-controlled deformation of Au-SiO2-Si trilayer structures with Archimedean spiral patterns,enabling dynamic spectral encoding through 2D-to-3D morphological transitions.展开更多
In vivo microscopic imaging inside a biological lumen such as the gastrointestinal tract,respiratory airways,or within blood vessels has faced significant technological challenges for decades.A promising candidate tec...In vivo microscopic imaging inside a biological lumen such as the gastrointestinal tract,respiratory airways,or within blood vessels has faced significant technological challenges for decades.A promising candidate technology is the multimode fiber(MMF)endoscope,which enables minimally invasive diagnostics at a resolution reaching the cellular level.However,for in vivo imaging applications deep inside a biological lumen,sample-induced aberrations and the dynamic dispersion in the MMF make the MMF endoscope a chaotic system with many unknowns,where multiple minor fluctuations can couple and compound into intractable problems.We introduce a dynamically encoding,cascaded,optical,and ultrathin polychromatic light-field endoscopy(DECOUPLE)to tackle this challenge.DECOUPLE includes an adaptive aberration correction that can accurately track and control MMF behavior in the spatial-frequency domain to compensate for chaos introduced during complex dynamic imaging processes.We demonstrate the flexibility and practicality of DECOUPLE for noninvasive volumetric imaging in two colors for light passing through various highly aberrating samples including 120-μm-thick onion epidermal slices and 80-μm-thick layers of fat emulsions.To summarize,we represent a significant step toward practical in vivo imaging deep within biological tissue.展开更多
基金funded by the National Key R&D Program of China Grant No.2022YFB4500900.
摘要Remote sensing object detection aims to identify and localize specific targets in satellite or aerial imagery.Spiking Neural Networks(SNNs),benefiting from their implicit feedback-based and event-driven brain-inspired dynamics,offer a promising solution to alleviate the high energy consumption of conventional ANN-based detection models.However,existing SNN-based approaches for remote sensing object detection—particularly for small,arbitrarily rotated objects—are still in their infancy and suffer from a substantial performance gap compared with ANN counterparts.In this work,we draw inspiration from the hierarchical sparse perception mechanisms of biological vision and integrate dynamic receptive field modulation into the encoding stage,proposing a high-precision spiking object detection framework tailored for remote sensing image.Specifically,we design a Hierarchical Feedback-based Gaussian Encoding(HFG)scheme,in which the parameters of Gaussian kernels are dynamically adjusted through spike-triggered top-down feedback connections.This mechanism enables the encoding process to adaptively respond to complex geometric variations of remote sensing objects,including rotation and scale changes.Based on the proposed encoding strategy,we develop DGRDet(Dynamic Gaussian Receptive Field Encoding-based Spiking Neural Networks for Remote Sensing Object Detection),a directly trained deep SNN detector for remote sensing image.Extensive evaluations on the large-scale public DOTA dataset demonstrate that DGRDet achieves competitive detection accuracy,outperforming existing SNN-based object detection methods.Moreover,compared with ANN models of comparable detection performance,DGRDet reduces spike activity by 81.31%and requires only 0.12%of the inference energy consumption,achieving a favorable balance between detection accuracy,efficiency,and energy efficiency.
基金Project(2009AA01A402) supported by the National High-Tech Research and Development Program of ChinaProject(NCET-06-0650) supported by Program for New Century Excellent Talents in University Project(IRT-0725) supported by Program for Changjiang Scholars and Innovative Research Team in Chinese University
摘要In order to optionally regulate embedding capacity and embedding transparency according to user's requirements in voice-over-IP(VoIP) steganography,a dynamic matrix encoding strategy(DMES) was presented.Differing from the traditional matrix encoding strategy,DMES dynamically chose the size of each message group in a given set of adoptable message sizes.The appearance possibilities of all adoptable sizes were set in accordance with the desired embedding performance(embedding rate or bit-change rate).Accordingly,a searching algorithm that could provide an optimal combination of appearance possibilities was proposed.Furthermore,the roulette wheel algorithm was employed to determine the size of each message group according to the optimal combination of appearance possibilities.The effectiveness of DMES was evaluated in StegVoIP,which is a typical covert communication system based on VoIP.The experimental results demonstrate that DMES can adjust embedding capacity and embedding transparency effectively and flexibly,and achieve the desired embedding performance in any case.For the desired embedding rate,the average errors are not more than 0.000 8,and the standard deviations are not more than 0.002 0;for the desired bit-change rate,the average errors are not more than 0.001 4,and the standard deviations are not more than 0.002 6.
基金supported by the National Natural Science Foundation of China(Grant No.52172083)Zhejiang Province Key R&D Program:Vanguard and Leading Geese Projects(Grant No.2024C01190)+1 种基金the Guangzhou Key Research and Development Program(Grant No.2023B03J1239)Program for Innovative Research Team in University of Education System of Guangzhou(Grant No.202235404).
摘要Persistent luminescence has emerged as a robust platform for anti-counterfeiting applications due to its exceptional spatial-temporal decoding capability.Yet,conventional strategies often suffer from uniform emission patterns and predictable replication,compromising their security.Herein,we present“Snap-PLNPs”—near-infrared emitting CaS:Tm persistent luminescent nanoparticles engineered to undergo aqueous-triggered self-destruction via a hydrolysis mechanism.In contrast to traditional photophysical approaches,this chemically initiated degradation irreversibly terminates the luminescence,ensuring that security information can be decoded only once.Moreover,by incorporating an additional SiO2shell,we introduce a programmable delay in the hydrolysis process,thereby modulating the duration of the emission and adding a temporal regulation layer.This dual control—combining instantaneous chemical deactivation with time-resolved modulation—establishes a dynamic hierarchical security encoding framework.When embedded into laser-engraved logos,these CaS:Tm@SiO2hybrids enable a novel triple-layer anti-counterfeiting strategy that integrates spatial,temporal,and chemical dimensions.Our results underscore the potential of Snap-PLNPs as a next-generation platform for robust and adaptive security technologies.
基金jointly financial support of the National 973 Project of China(Nos.2014CB239006,2011CB202402)the National Natural Science Foundation of China(Nos.41104069,41274124)+1 种基金the Shandong Natural Science Foundation of China(No.ZR2011DQ016)the Fundamental Research Funds for the Central Universities of China(No.R1401005A)
摘要We present a method based on least-squares reverse time migration with plane-wave encoding (P-LSRTM) for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding function and fill constant velocity to the area above rugged topography in the model so that P-LSRTM can be directly performed from rugged surface in the way same to shot domain reverse time migration. In order to improve efficiency and reduce I/O (input/output) cost, the dynamic en- coding strategy and hybrid encoding strategy are implemented. Numerical test on SEG rugged topography model show that P-LSRTM can suppress migration artifacts in the migration image, and compensate am- plitude in the middle-deep part efficiently. Without data correction, P-LSRTM can produce a satisfying image of near-surface if we could get an accurate near-surface velocity model. Moreover, the pre-stack P- LSRTM is more robust than conventional RTM in the presence of migration velocity errors.
基金Supported by projects of National Natural Science Foundation of China(Nos.41604105,41974114)Fundamental Research Funds for Central Universities(No.2020YQLX01).
摘要The authors proposed a symplectic stereo-modeling method(SSM)in the Birkhoffian dynam-ics and apply it to the visco-acoustic least-squares reverse time migration(LSRTM).The SSM adopts ste-reo-modeling operator in space and symplectic Runge-Kutta scheme in time,resulting in great ability in suppressing numerical dispersion and long-time computing.These advantages are further confirmed by numerical dispersion analysis,long-time computation test and computational efficiency comparison.After these theoretical analyses and experiments,acoustic and visco-acoustic LSRTM are tested and compared between SSM method and the conventional symplectic method(CSM)using the fault and marmousi models.Meanwhile,dynamic source encoding and exponential decay moving average gradients method are adopted to reduce the computation cost and improve the convergence rate.The imaging results show that LSRTM based on visco-acoustic wave equations effectively takes into account the influence of viscosity can therefore compensate for the amplitude attenuation.Besides,SSM method not only has high numerical accuracy and computational efficiency,but also performs effectively in LSRTM.
基金supported by the National Natural Science Foundation of China under Grant No.61202250
摘要A family of array codes with a maximum distance separable(MDS) property, named L codes, is proposed. The greatest strength of L codes is that the number of rows(columns) in a disk array does not be restricted by the prime number, and more disks can be dynamically appended in a running storage system. L codes can tolerate at least two disk erasures and some sector loss simultaneously, and can tolerate multiple disk erasures(greater than or equal to three) under a certain condition. Because only XOR operations are needed in the process of encoding and decoding, L codes have very high computing efficiency which is roughly equivalent to X codes. Analysis shows that L codes are particularly suitable for large-scale storage systems.
摘要Presuppositional information is encoded in linguistic expressions by means of so-called presupposition triggers or presupposition inducers. These items are linguistic means that signal that certain information is taken for granted in the linguistic or non-linguistic context. One task for presupposition theory is to identify these triggers, explain what type of information they induce, and why they do so. A second task is to explain why and under what circumstances the information thus induced is preserved as an intuitive inference of the inducing sentence. The latter problem is the projection problem for presuppositions. Theories of presupposition can be divided into the following main classes: semantic, pragmatic, and dynamic theories. Semantic theories explain presupposition as a semantic relation between sentences. Pragmatic theories take the information a speaker takes for granted in making an assertion as their starting point. Dynamic theories locate sentence meaning in its context-change potential: presuppositional information should be part of input context as a precondition for contextual update. The two major variants are the satisfaction account and the anaphoric account. The former construes presuppositions as definedness conditions on input contexts. According to the anaphoric account presuppositional expressions are anaphors that should be bound to a contextually given antecedent.
基金National Natural Science Foundation of China(T2325005,62505020,52488301,62375016)National Key Research and Development Program of China(2024YFB2809204)+1 种基金Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education(JYB2025XDXM115)China Postdoctoral Science Foundation(2025M784234)。
摘要Computational spectrometers offer miniaturization potential but face the spatial uniformity requirement of incident light and trade-offs between footprint and performance.Here we report a nano-kirigami spectrometer achieving~5 nm resolution within a 2.5 μm×2.5 μm footprint.The device uses voltage-controlled deformation of Au-SiO2-Si trilayer structures with Archimedean spiral patterns,enabling dynamic spectral encoding through 2D-to-3D morphological transitions.
基金Financial support was provided by the National Natural Science Foundation of China(Grant Nos.T2293751,T2293750,62405278,6240030458,62020106002,61735017,and 92250304)National Key Basic Research Program of China(Grant No.2021YFC2401403)+2 种基金National Key Research and Development Program of China(Grant Nos.2024YFF1206700 and 2024YFF1206705)Major Scientific Research Project of Zhejiang Laboratory(Grant No.2019MC0AD02)the Zhejiang University Education Foundation Global Partnership Fund.
摘要In vivo microscopic imaging inside a biological lumen such as the gastrointestinal tract,respiratory airways,or within blood vessels has faced significant technological challenges for decades.A promising candidate technology is the multimode fiber(MMF)endoscope,which enables minimally invasive diagnostics at a resolution reaching the cellular level.However,for in vivo imaging applications deep inside a biological lumen,sample-induced aberrations and the dynamic dispersion in the MMF make the MMF endoscope a chaotic system with many unknowns,where multiple minor fluctuations can couple and compound into intractable problems.We introduce a dynamically encoding,cascaded,optical,and ultrathin polychromatic light-field endoscopy(DECOUPLE)to tackle this challenge.DECOUPLE includes an adaptive aberration correction that can accurately track and control MMF behavior in the spatial-frequency domain to compensate for chaos introduced during complex dynamic imaging processes.We demonstrate the flexibility and practicality of DECOUPLE for noninvasive volumetric imaging in two colors for light passing through various highly aberrating samples including 120-μm-thick onion epidermal slices and 80-μm-thick layers of fat emulsions.To summarize,we represent a significant step toward practical in vivo imaging deep within biological tissue.