Photoacoustic tomography(PAT),which combines excellent optical contrast with high acoustic resolution,has emerged as a promising medical imaging technique.However,achieving rapid,real-time light fluence correction for...Photoacoustic tomography(PAT),which combines excellent optical contrast with high acoustic resolution,has emerged as a promising medical imaging technique.However,achieving rapid,real-time light fluence correction for quantitative PAT imaging remains challenging.To address this,this study introduces an adaptive mesh-based method for the finite element calculation of light fluence to significantly accelerate the correction process for quantitative PAT.Evaluation on a commercial PAT system shows that while achieving comparable imaging quality,the adaptive mesh-based method requires only 1/85 of the mesh points used in a uniform mesh and reduces computation time by more than 20-fold.Our approach effectively enhances the efficiency of light fluence correction,providing strong support for advancing the practical application of photoacoustic imaging technology.展开更多
The underway conductivity-temperature-depth profiler(UCTD)enables continuous collection of high-resolution hydrographic profiles during vessel transit,offering advantages in operational efficiency and spatial coverage...The underway conductivity-temperature-depth profiler(UCTD)enables continuous collection of high-resolution hydrographic profiles during vessel transit,offering advantages in operational efficiency and spatial coverage.However,its pump-free design makes the matching of sensor response times and the thermal inertia of the conductivity cell highly sensitive to variations in descent rate.Traditional static correction methods based on fixed response parameters are insufficient to eliminate salinity spikes under dynamically varying descent rates.This study proposes a real-time,descent-rate-adaptive salinity correction method tailored for embedded UCTD systems.A dynamic window alignment algorithm is developed to achieve time-depth synchronization of temperature and conductivity sensor responses based on instantaneous descent rate.Additionally,a rate-dependent thermal inertia compensation scheme is implemented,using an adaptive parameter model to simultaneously correct for thermistor-conductivity lag effects.Validation using in situ observations from a cruise in the western Pacific Ocean on September 15,2024 demonstrates that the proposed method effectively reduces salinity noise in UCTD-derived profiles,decreasing the mean absolute salinity error from 0.0337 to 0.0053.The low computational complexity and modular structure of the algorithm allow for seamless integration into embedded UCTD controllers,enabling real-time onboard correction of salinity measurements under dynamically varying flow regimes.展开更多
Complex distillation processes can often be effectively optimized using meta‑heuristic algorithms.However,during optimization procedure,a large number of infeasible solutions are generated,hindering efficient explorat...Complex distillation processes can often be effectively optimized using meta‑heuristic algorithms.However,during optimization procedure,a large number of infeasible solutions are generated,hindering efficient exploration of feasible,high‑performance regions of the search space.In this study,we propose a data‑driven identification and adaptive directed correction strategy for handling infeasible solutions,and on this basis,develop an efficient multi‑objective optimization framework(MO‑DIDC)for complex distillation processes.By identifying infeasible solutions that closely resemble high‑performance ones,the framework leverages them to accelerate convergence to optimal designs.A surrogate model is trained to distinguish high‑and low‑performance solutions and is then used to identify potentially high‑performance candidates within the infeasible set.Through similarity analysis,the most influential variable is selected for correction to generate new promising solutions.This strategy reduces unnecessary exploration of infeasible regions and concentrates computational effort on feasible,high‑quality solutions.Demonstrated on a side‑stream double‑column extractive distillation system and a four‑column extractive distillation system,the proposed optimization framework outperforms a widely used genetic algorithm while substantially improving computational efficiency,achieving optimization time reductions of 35.3%and 20.8%,respectively.Overall,the proposed MO‑DIDC framework provides an effective and computationally efficient tool for the optimization of complex distillation processes.展开更多
Aberration-corrected focus scanning is crucial for high-precision optics,but the conventional optical systems rely on bulky and complicated dynamic correctors.Recently,Shiyi Xiao's group proposed a method using tw...Aberration-corrected focus scanning is crucial for high-precision optics,but the conventional optical systems rely on bulky and complicated dynamic correctors.Recently,Shiyi Xiao's group proposed a method using two rotating cascaded transmissive metasurfaces for adaptive aberration correction in focus scanning.The optimized phase profiles enable precise control of the focal position for scanning custom-curved surfaces.This concept was experimentally validated by two allsilicon meta-devices in the terahertz regime,paving the way for high-precision and compact optical devices in various applications.展开更多
Underwater images are inherently degraded by color distortion,contrast reduction,and uneven brightness,primarily due to light absorption and scattering in water.To mitigate these challenges,a novel enhancement approac...Underwater images are inherently degraded by color distortion,contrast reduction,and uneven brightness,primarily due to light absorption and scattering in water.To mitigate these challenges,a novel enhancement approach is proposed,integrating Local Adaptive Color Correction(LACC)with contrast enhancement based on adaptive Rayleigh distribution stretching and CLAHE(LACC-RCE).Conventional color correction methods predominantly employ global adjustment strategies,which are often inadequate for handling spatially varying color distortions.In contrast,the proposed LACC method incorporates local color analysis,tone-weighted control,and spatially adaptive adjustments,allowing for region-specific color correction.This approach effectively enhances color fidelity and perceptual naturalness,addressing the limitations of global correction techniques.For contrast enhancement,the proposed method leverages the global mapping characteristics of the Rayleigh distribution to improve overall contrast,while CLAHE is employed to adaptively enhance local regions.A weighted fusion strategy is then applied to synthesize high-quality underwater images.Experimental results indicate that LACC-RCE surpasses conventional methods in color restoration,contrast optimization,and detail preservation,thereby enhancing the visual quality of underwater images.This improvement facilitates more reliable inputs for underwater object detection and recognition tasks.展开更多
The use of radioactive isotopes,such as Cs-137,to measure formation density is a common practice;however,it poses high risks such as environmental contamination from lost sources.To address these challenges,the use of...The use of radioactive isotopes,such as Cs-137,to measure formation density is a common practice;however,it poses high risks such as environmental contamination from lost sources.To address these challenges,the use of pulsed neutron sources for density measurements,also known as“source-less density”,has emerged as a promising alternative.By collecting gamma counts at different time gates according to the duty cycle of the pulsed sequence,the inelastic gamma component can be isolated to obtain more accurate density measurements.However,the collection of gamma rays during the neutron burst-on period often contains a proportion of capture gamma rays,which can reduce the accuracy of density measurements.This proportion can vary depending on the formation environment and neutron duty cycle.To address these challenges,an adaptive capture gamma correction method was developed for density measurements.This method distinguishes between“burst-on”and“burst-off”periods based on the gamma time spectra,and derives the capture ratio in the burst-on period by iteratively fitting the capture gamma time spectra,resulting in a more accurate net inelastic gamma.This method identifies the end of the pulse by automatically calculating the differential,and fits the capture gamma time spectra using Gaussian process regression,which considers the differences in formation attenuation caused by different environments.The method was verified through simulations with errors of below 0.025 g/cm3,demonstrating its adaptability and feasibility for use in formation density measurements.Overall,the proposed method has the potential to minimize the risks associated with radioactive isotopes and improve the accuracy of density measurements in various duty cycles and formation environments.展开更多
In order to solve the linear variable differential transformer (LVDT) displacement sensor nonlinearity of overall range and extend its working range, a novel line-element based adaptively seg- menting method for pie...In order to solve the linear variable differential transformer (LVDT) displacement sensor nonlinearity of overall range and extend its working range, a novel line-element based adaptively seg- menting method for piecewise compensating correction was proposed. According to the mechanical structure of LVDT, the output equation was calculated, and then the theoretic nonlinear source of output was analyzed. By the proposed line-element adaptive segmentation method, the nonlinear output of LVDT was divided into linear and nonlinear regions with a given threshold. Then the com- pensating correction function was designed for nonlinear parts employing polynomial regression tech- nique. The simulation of LVDT validates the feasibility of proposed scheme, and the results of cali- bration and testing experiments fully prove that the proposed method has higher accuracy than the state-of-art correction algorithms.展开更多
A wavefront sensing and correction correction is proposed that would allow the field of view (FOV) of an adaptive optics spstem to be increased in size by a factor of several tens. This concept is based on the idea of...A wavefront sensing and correction correction is proposed that would allow the field of view (FOV) of an adaptive optics spstem to be increased in size by a factor of several tens. This concept is based on the idea of placing multiple deformable mirrors (DMs) at locations that are conjugate to corresponding. layers of atmospheric turbulence. In order to control properly each DM, a tomographic method for determining the phase distortion contributed by each atmospheric layer has been developed and used in dealing with the circumstance of two layers.展开更多
Objective:The stress experienced by female Persons Deprived of Liberty(PDLs)in correctional facilities is a significant yet underexplored issue.This study aims to explore the stressors and coping mechanisms of female ...Objective:The stress experienced by female Persons Deprived of Liberty(PDLs)in correctional facilities is a significant yet underexplored issue.This study aims to explore the stressors and coping mechanisms of female PDLs using Callista Roy’s Adaptation Model(RAM)to understand their adaptive processes within a prison environment.Methods:A qualitative design was employed using purposive sampling.Ten female PDLs from a Bureau of Jail Management and Penology(BJMP)facility in Nueva Vizcaya,Philippines were interviewed using 3 guided questions to explore their stress experiences and coping strategies.Thematic analysis was applied to identify key themes from the collected data.Results:The study identified interpersonal conflicts,family separation,legal delays,and challenging prison environments as primary sources of stress.To manage these stressors,the participants employed various coping strategies,including emotional introspection,engagement in physical activities,participation in religious practices,and seeking support from peers and family members.These strategies reflect adaptive responses within the framework of RAM.Conclusions:The findings highlight the need for comprehensive interventions that promote the mental well-being of female PDLs.Recommendations include implementing conflict resolution programs,facilitating family communication,organizing physical and group activities,and providing mental health services.The study highlights the importance of adopting a holistic approach to inmate care,recognizing the complex nature of stress and adaptation.These insights can guide correctional institutions and healthcare professionals in developing targeted interventions to improve the well-being and rehabilitation outcomes of female PDLs,thereby enhancing their reintegration into society.展开更多
A new method for self-adaptive correction of the clutch proportional valve by Lyapunov stability function is proposed. Compared with displacement curve of hydraulic control cylinder under standard load, pulse width mo...A new method for self-adaptive correction of the clutch proportional valve by Lyapunov stability function is proposed. Compared with displacement curve of hydraulic control cylinder under standard load, pulse width modulation (PWM) voltage imposed on clutch proportional valve is cor- rected according to the error to improve the consistency of the clutch control system in the process of clutch engagement. Computer simulations are conducted with this self-adaptive correction method by establishing the clutch control system model and results indicate that the principle of the method is correct. The flow rate variation obtains effective restraint which is caused by clutch control system characteristic of different vehicle under constant PWM voltage.展开更多
On the basis of the analysis of the effect of PHase Noise (PHN) and Common Phase Error (CPE) on Orthogonal Frequency Division Multiplexing (OFDM) systems, a cost function is constructed. By the cost function and the i...On the basis of the analysis of the effect of PHase Noise (PHN) and Common Phase Error (CPE) on Orthogonal Frequency Division Multiplexing (OFDM) systems, a cost function is constructed. By the cost function and the idea of Least-Mean-Square (LMS) adaptive algorithm, the adaptive algorithm for the correction of CPE is presented. The simulations have been performed to investigate the performance for tracking PHN and estimating CPE, the results show that the algorithm performs soundly.展开更多
Integrating Contrast Colour Correction(CACC)and Convolutional Neural Networks(CNN)can help fish breeders in earlier classification and identification of Cryptocaryon fish disease(protozoan white spot disease).Disease ...Integrating Contrast Colour Correction(CACC)and Convolutional Neural Networks(CNN)can help fish breeders in earlier classification and identification of Cryptocaryon fish disease(protozoan white spot disease).Disease identification accuracy is enhanced through such method by adaptive colour changes and CNN feature extracting ability,thereby boosting underwater image clarity.Unlike traditional rule-based systems that relies on expert knowledge despite being error-prone,existing methods focus on visual quality without classifying impact influence.Early disease identification is hampered in terms of efficiency due to machine learning methods reliant on abundant human expertise other than efficient feature extracting.An artificial intelligence(AI)-oriented computer model is introduced for existing research in overcoming limitations and eliminating subjectivity.The model employs a proprietary method of diagnosing fish disease through underwater images examination that yields objective outcome.Several CNN structures such as GoogleNet,ResNet-101,AlexNet,ResNet-50 as well as VGG-16 are tested on its performance.The current study shows integration of CACC with CNN through a set of 15000 images boosting up model performance in Cryptocaryon fish disease detection.The introduced novel method significantly enhances performance with 99.53%accuracy,99.08%precision along with 100.00%recall.This efficient,accurate approach can significantly reduce the workload of experts and fish farmers while promoting sustainable aquaculture and healthier aquatic ecosystems.展开更多
Beidou-3 navigation satellite system(BDS-3)initiated a real-time service for precise point positioning(PPP)using the B2b signal,mainly for users in China and surrounding areas.In this paper,the performance of PPP-B2b ...Beidou-3 navigation satellite system(BDS-3)initiated a real-time service for precise point positioning(PPP)using the B2b signal,mainly for users in China and surrounding areas.In this paper,the performance of PPP-B2b service is experimentally analyzed first.Then,the ionosphere-free model is established.In order to solve the problem of slow convergence for traditional PPP,an adaptive robust extend Kalman filter(AREKF)algorithm is developed.Unlike the error compensation models,it reflects the noise information in real time by adjusting the covariance matrix of the measurements and the weight matrix of the state vector.The experimental results are analyzed last.Evaluation results indicate that the corrections provided by PPP-B2b can significantly reduce the discontinuous error of the orbits and clock offsets caused by broadcast ephemeris updating.Positioning results confirm that AREKF outperforms EKF both in static and kinematic modes.Around 20%improvement in accuracy and 25%improvement in convergence speed are achieved,making it valuable for PPP processing.展开更多
In response to the emerging demand for dynamic and cross-scale microscopic observation in fields such as biology,medicine,and materials science,the liquid lens has been widely adopted in modern microscopy to enable re...In response to the emerging demand for dynamic and cross-scale microscopic observation in fields such as biology,medicine,and materials science,the liquid lens has been widely adopted in modern microscopy to enable real-time,continuous optical zooming.However,the limited optical power of the liquid lens restricts the zoom range,and the nonlinear dynamic aberrations introduced during zooming can significantly degrade image quality.To address these challenges,a continuous optical zoom microscope with a large zoom ratio and adaptive aberration correction is proposed,based on an end-to-end joint optimization framework that integrates optical design and neural network guided by physical degradation.By incorporating spatially-variant,multi-wavelength,and continuous-magnification 4D PSF of the system as physical priors,this work achieves fast and high-quality continuous zoom imaging from 10.6×~101.4×,while adaptively correcting complex aberrations that vary with both magnification and spatial location.The core hardware component of the system is a zoom objective lens with a movable relay image plane,which especially integrates electrowetting liquid lenses.On the algorithmic side,4DPSF-aware Physical Degradation-guided Network(4DPSF-PDNet)is introduced for adaptive aberration correction during the zooming process.By embedding the PSF into the network,the method effectively suppresses distortions and artifacts and achieves precise correction of complex,dynamically varying aberrations.Experimental results demonstrate that the proposed adaptive continuous microscope holds significant promise for a wide range of applications in biology,medical diagnostics,and materials science.展开更多
The deferred correction(DeC)is an iterative procedure,characterized by increasing the accuracy at each iteration,which can be used to design numerical methods for systems of ODEs.The main advantage of such framework i...The deferred correction(DeC)is an iterative procedure,characterized by increasing the accuracy at each iteration,which can be used to design numerical methods for systems of ODEs.The main advantage of such framework is the automatic way of getting arbitrarily high order methods,which can be put in the Runge-Kutta(RK)form.The drawback is the larger computational cost with respect to the most used RK methods.To reduce such cost,in an explicit setting,we propose an efcient modifcation:we introduce interpolation processes between the DeC iterations,decreasing the computational cost associated to the low order ones.We provide the Butcher tableaux of the new modifed methods and we study their stability,showing that in some cases the computational advantage does not afect the stability.The fexibility of the novel modifcation allows nontrivial applications to PDEs and construction of adaptive methods.The good performances of the introduced methods are broadly tested on several benchmarks both in ODE and PDE contexts.展开更多
Owing to the frequent variation in steel grades,plate dimensions,mill pacing,and mill working conditions,the zero point of a plate mill fluctuates accordingly,potentially leading to incorrect plate thickness results.U...Owing to the frequent variation in steel grades,plate dimensions,mill pacing,and mill working conditions,the zero point of a plate mill fluctuates accordingly,potentially leading to incorrect plate thickness results.Using the actual measured thickness curve data,a zero-point correction model was developed based on lot classifications with respect to the steel grade,dimensions,and last-pass rolling force.The application of this model achieves enhanced variation prediction of the zero point and improved plate-thickness control.展开更多
In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruc...In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruction with adaptive transmittance and atmospheric light correction was proposed.Firstly,the algorithm used the open operation under morphological reconstruction to replace the minimum filter operation in the dark channel,and used the morphological edge to set the scale of the open operation structure elements,and constructed a multi-scale open operation fusion dark channel.After morphological noise reduction,the exact initial transmittance was obtained.According to the relationship between brightness and saturation difference and transmittance,an adaptive transmittance correction model was fitted with Gaussian function to correct the initial transmittance of the sky fog map.Then the local atmospheric light was improved according to the image brightness information and morphology closure operation.Finally,the proposed algorithm was combined with the atmospheric scattering model to obtain an accurate fog free image.The experimental results showed that the proposed algorithm was suitable for fog image restoration under various scenes,the restoration effect was good,and the brightness was suitable.展开更多
It has been proven that carrier smoothing and differential global positioning system(DGPS)are effective to improve the accuracy of pseudorange by reducing the noise in it and eliminating almost all the common mode err...It has been proven that carrier smoothing and differential global positioning system(DGPS)are effective to improve the accuracy of pseudorange by reducing the noise in it and eliminating almost all the common mode errors between the ground station and user.However,another issue coming with local area augmentation system(LAAS)is how to find an adaptive smoothing window width to minimize the error on account of ionosphere delay and multipath.Based on the errors analysis in carrier smoothing process,a novel algorithm is formulated to design adaptive Hatch filter whose smoothing window width flexibly varies with the characteristic of ionosphere delay and multipath in the differential carrier smoothing process.By conducting the simulation in LAAS and after compared with traditional Hatch filers,it reveals that not only the accuracy of differential correction,but also the accuracy and the robustness of positioning results are significantly improved by using the designed adaptive Hatch filter.展开更多
For measurement of component content in the extraction and separation process of praseodymiumeodymium(Pr/Nd), a soft measurement method was proposed based on modeling of ion color features, which is suitable for fast ...For measurement of component content in the extraction and separation process of praseodymiumeodymium(Pr/Nd), a soft measurement method was proposed based on modeling of ion color features, which is suitable for fast estimation of component content in production field. Feature analysis on images of the solution is conducted,which are captured from Pr/Nd extraction/separation field. H/S components in the HSI color space are selected as model inputs, so as to establish the least squares support vector machine(LSSVM) model for Nd(Pr) content,while the model parameters are determined with the GA algorithm. To improve the adaptability of the model,the adaptive iteration algorithm is used to correct parameters of the LSSVM model, on the basis of model correction strategy and new sample data. Using the field data collected from rare earth extraction production, predictive methods for component content and comparisons are given. The results indicate that the proposed method presents good adaptability and high prediction precision, so it is applicable to the fast detection of element content in the rare earth extraction.展开更多
A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal i...A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal is used to update the step-size, leading to a considerably improved convergence rate in a low SNR situation and reduced steady-state bias and MSE. The theoretical expression for steady-state bounds on the step-size is derived, and the influence factors on the stable performance of the algorithm theoretically are analyzed. A normalized power factor is then introduced to control variation of step-size in its steady-state bounds. This technique prevents divergence due to the influence of large power input signal and improves robustness. Numerical experiments are performed to demonstrate superiority of the proposed method.展开更多
基金supported by the National Natural Science Foundation of China(62371220).
摘要Photoacoustic tomography(PAT),which combines excellent optical contrast with high acoustic resolution,has emerged as a promising medical imaging technique.However,achieving rapid,real-time light fluence correction for quantitative PAT imaging remains challenging.To address this,this study introduces an adaptive mesh-based method for the finite element calculation of light fluence to significantly accelerate the correction process for quantitative PAT.Evaluation on a commercial PAT system shows that while achieving comparable imaging quality,the adaptive mesh-based method requires only 1/85 of the mesh points used in a uniform mesh and reduces computation time by more than 20-fold.Our approach effectively enhances the efficiency of light fluence correction,providing strong support for advancing the practical application of photoacoustic imaging technology.
基金The Key Research and Development Program of Shandong Province,China under contract No.2025CXGC010711the Major Scientific Research Project for the Construction of State Key Laboratory at Qilu University of Technology(Shandong Academy of Sciences)under contract No.2025ZDGZ01.
摘要The underway conductivity-temperature-depth profiler(UCTD)enables continuous collection of high-resolution hydrographic profiles during vessel transit,offering advantages in operational efficiency and spatial coverage.However,its pump-free design makes the matching of sensor response times and the thermal inertia of the conductivity cell highly sensitive to variations in descent rate.Traditional static correction methods based on fixed response parameters are insufficient to eliminate salinity spikes under dynamically varying descent rates.This study proposes a real-time,descent-rate-adaptive salinity correction method tailored for embedded UCTD systems.A dynamic window alignment algorithm is developed to achieve time-depth synchronization of temperature and conductivity sensor responses based on instantaneous descent rate.Additionally,a rate-dependent thermal inertia compensation scheme is implemented,using an adaptive parameter model to simultaneously correct for thermistor-conductivity lag effects.Validation using in situ observations from a cruise in the western Pacific Ocean on September 15,2024 demonstrates that the proposed method effectively reduces salinity noise in UCTD-derived profiles,decreasing the mean absolute salinity error from 0.0337 to 0.0053.The low computational complexity and modular structure of the algorithm allow for seamless integration into embedded UCTD controllers,enabling real-time onboard correction of salinity measurements under dynamically varying flow regimes.
基金support provided by the Natural Science Foundation of China(Grant No.22278044)the Fundamental Research Funds for the Central Universities(Grant No.2024IAIS‑QN004)+4 种基金the Chongqing Key Special Project of“Artificial Intelligence+Science and Technology”(Grant No.CSTB2025QYYJX0003)The Chongqing Innovation Support Key Program for Returned Overseas Chinese Scholars(Grant No.CX2023002)the Key Project of Technical Innovation and Application Development(Grant No.CSTB2024TIAD‑KPX0058)the Science and Technology Innovation Key R&D Program of Chongqing(Grant No.CSTB2024TIAD‑STX0032)the Xinjiang Autonomous Region Regional Collaborative Innovation Special Science and Technology Assistance Plan Project(Grant No.2024E02036).
摘要Complex distillation processes can often be effectively optimized using meta‑heuristic algorithms.However,during optimization procedure,a large number of infeasible solutions are generated,hindering efficient exploration of feasible,high‑performance regions of the search space.In this study,we propose a data‑driven identification and adaptive directed correction strategy for handling infeasible solutions,and on this basis,develop an efficient multi‑objective optimization framework(MO‑DIDC)for complex distillation processes.By identifying infeasible solutions that closely resemble high‑performance ones,the framework leverages them to accelerate convergence to optimal designs.A surrogate model is trained to distinguish high‑and low‑performance solutions and is then used to identify potentially high‑performance candidates within the infeasible set.Through similarity analysis,the most influential variable is selected for correction to generate new promising solutions.This strategy reduces unnecessary exploration of infeasible regions and concentrates computational effort on feasible,high‑quality solutions.Demonstrated on a side‑stream double‑column extractive distillation system and a four‑column extractive distillation system,the proposed optimization framework outperforms a widely used genetic algorithm while substantially improving computational efficiency,achieving optimization time reductions of 35.3%and 20.8%,respectively.Overall,the proposed MO‑DIDC framework provides an effective and computationally efficient tool for the optimization of complex distillation processes.
摘要Aberration-corrected focus scanning is crucial for high-precision optics,but the conventional optical systems rely on bulky and complicated dynamic correctors.Recently,Shiyi Xiao's group proposed a method using two rotating cascaded transmissive metasurfaces for adaptive aberration correction in focus scanning.The optimized phase profiles enable precise control of the focal position for scanning custom-curved surfaces.This concept was experimentally validated by two allsilicon meta-devices in the terahertz regime,paving the way for high-precision and compact optical devices in various applications.
基金Graduate Student Innovation Projects of Beijing University of Civil Engineering and Architecture(No.PG2024121)。
摘要Underwater images are inherently degraded by color distortion,contrast reduction,and uneven brightness,primarily due to light absorption and scattering in water.To mitigate these challenges,a novel enhancement approach is proposed,integrating Local Adaptive Color Correction(LACC)with contrast enhancement based on adaptive Rayleigh distribution stretching and CLAHE(LACC-RCE).Conventional color correction methods predominantly employ global adjustment strategies,which are often inadequate for handling spatially varying color distortions.In contrast,the proposed LACC method incorporates local color analysis,tone-weighted control,and spatially adaptive adjustments,allowing for region-specific color correction.This approach effectively enhances color fidelity and perceptual naturalness,addressing the limitations of global correction techniques.For contrast enhancement,the proposed method leverages the global mapping characteristics of the Rayleigh distribution to improve overall contrast,while CLAHE is employed to adaptively enhance local regions.A weighted fusion strategy is then applied to synthesize high-quality underwater images.Experimental results indicate that LACC-RCE surpasses conventional methods in color restoration,contrast optimization,and detail preservation,thereby enhancing the visual quality of underwater images.This improvement facilitates more reliable inputs for underwater object detection and recognition tasks.
基金supported by the National Natural Science Foundation of China(No.52171253)the Natural Science Foundation of Sichuan(No.2022NSFSC0949).
摘要The use of radioactive isotopes,such as Cs-137,to measure formation density is a common practice;however,it poses high risks such as environmental contamination from lost sources.To address these challenges,the use of pulsed neutron sources for density measurements,also known as“source-less density”,has emerged as a promising alternative.By collecting gamma counts at different time gates according to the duty cycle of the pulsed sequence,the inelastic gamma component can be isolated to obtain more accurate density measurements.However,the collection of gamma rays during the neutron burst-on period often contains a proportion of capture gamma rays,which can reduce the accuracy of density measurements.This proportion can vary depending on the formation environment and neutron duty cycle.To address these challenges,an adaptive capture gamma correction method was developed for density measurements.This method distinguishes between“burst-on”and“burst-off”periods based on the gamma time spectra,and derives the capture ratio in the burst-on period by iteratively fitting the capture gamma time spectra,resulting in a more accurate net inelastic gamma.This method identifies the end of the pulse by automatically calculating the differential,and fits the capture gamma time spectra using Gaussian process regression,which considers the differences in formation attenuation caused by different environments.The method was verified through simulations with errors of below 0.025 g/cm3,demonstrating its adaptability and feasibility for use in formation density measurements.Overall,the proposed method has the potential to minimize the risks associated with radioactive isotopes and improve the accuracy of density measurements in various duty cycles and formation environments.
基金Supported by National High Technology Research and Development Program of China("863" Program)(2011AA041002)
摘要In order to solve the linear variable differential transformer (LVDT) displacement sensor nonlinearity of overall range and extend its working range, a novel line-element based adaptively seg- menting method for piecewise compensating correction was proposed. According to the mechanical structure of LVDT, the output equation was calculated, and then the theoretic nonlinear source of output was analyzed. By the proposed line-element adaptive segmentation method, the nonlinear output of LVDT was divided into linear and nonlinear regions with a given threshold. Then the com- pensating correction function was designed for nonlinear parts employing polynomial regression tech- nique. The simulation of LVDT validates the feasibility of proposed scheme, and the results of cali- bration and testing experiments fully prove that the proposed method has higher accuracy than the state-of-art correction algorithms.
摘要A wavefront sensing and correction correction is proposed that would allow the field of view (FOV) of an adaptive optics spstem to be increased in size by a factor of several tens. This concept is based on the idea of placing multiple deformable mirrors (DMs) at locations that are conjugate to corresponding. layers of atmospheric turbulence. In order to control properly each DM, a tomographic method for determining the phase distortion contributed by each atmospheric layer has been developed and used in dealing with the circumstance of two layers.
摘要Objective:The stress experienced by female Persons Deprived of Liberty(PDLs)in correctional facilities is a significant yet underexplored issue.This study aims to explore the stressors and coping mechanisms of female PDLs using Callista Roy’s Adaptation Model(RAM)to understand their adaptive processes within a prison environment.Methods:A qualitative design was employed using purposive sampling.Ten female PDLs from a Bureau of Jail Management and Penology(BJMP)facility in Nueva Vizcaya,Philippines were interviewed using 3 guided questions to explore their stress experiences and coping strategies.Thematic analysis was applied to identify key themes from the collected data.Results:The study identified interpersonal conflicts,family separation,legal delays,and challenging prison environments as primary sources of stress.To manage these stressors,the participants employed various coping strategies,including emotional introspection,engagement in physical activities,participation in religious practices,and seeking support from peers and family members.These strategies reflect adaptive responses within the framework of RAM.Conclusions:The findings highlight the need for comprehensive interventions that promote the mental well-being of female PDLs.Recommendations include implementing conflict resolution programs,facilitating family communication,organizing physical and group activities,and providing mental health services.The study highlights the importance of adopting a holistic approach to inmate care,recognizing the complex nature of stress and adaptation.These insights can guide correctional institutions and healthcare professionals in developing targeted interventions to improve the well-being and rehabilitation outcomes of female PDLs,thereby enhancing their reintegration into society.
基金Supported by the National High Technology Research and Development Program of China ( 2006AAll0115)
摘要A new method for self-adaptive correction of the clutch proportional valve by Lyapunov stability function is proposed. Compared with displacement curve of hydraulic control cylinder under standard load, pulse width modulation (PWM) voltage imposed on clutch proportional valve is cor- rected according to the error to improve the consistency of the clutch control system in the process of clutch engagement. Computer simulations are conducted with this self-adaptive correction method by establishing the clutch control system model and results indicate that the principle of the method is correct. The flow rate variation obtains effective restraint which is caused by clutch control system characteristic of different vehicle under constant PWM voltage.
基金Supported by the National Natural Science Foundation of China (No.60332030).
摘要On the basis of the analysis of the effect of PHase Noise (PHN) and Common Phase Error (CPE) on Orthogonal Frequency Division Multiplexing (OFDM) systems, a cost function is constructed. By the cost function and the idea of Least-Mean-Square (LMS) adaptive algorithm, the adaptive algorithm for the correction of CPE is presented. The simulations have been performed to investigate the performance for tracking PHN and estimating CPE, the results show that the algorithm performs soundly.
基金supported by the Ministry of Higher Education(MoHE)through Fundamental Research Grant Scheme(Ref:FRGS/1/2020/ICT02/UUM/02/2(S/O Code:14856))。
摘要Integrating Contrast Colour Correction(CACC)and Convolutional Neural Networks(CNN)can help fish breeders in earlier classification and identification of Cryptocaryon fish disease(protozoan white spot disease).Disease identification accuracy is enhanced through such method by adaptive colour changes and CNN feature extracting ability,thereby boosting underwater image clarity.Unlike traditional rule-based systems that relies on expert knowledge despite being error-prone,existing methods focus on visual quality without classifying impact influence.Early disease identification is hampered in terms of efficiency due to machine learning methods reliant on abundant human expertise other than efficient feature extracting.An artificial intelligence(AI)-oriented computer model is introduced for existing research in overcoming limitations and eliminating subjectivity.The model employs a proprietary method of diagnosing fish disease through underwater images examination that yields objective outcome.Several CNN structures such as GoogleNet,ResNet-101,AlexNet,ResNet-50 as well as VGG-16 are tested on its performance.The current study shows integration of CACC with CNN through a set of 15000 images boosting up model performance in Cryptocaryon fish disease detection.The introduced novel method significantly enhances performance with 99.53%accuracy,99.08%precision along with 100.00%recall.This efficient,accurate approach can significantly reduce the workload of experts and fish farmers while promoting sustainable aquaculture and healthier aquatic ecosystems.
摘要Beidou-3 navigation satellite system(BDS-3)initiated a real-time service for precise point positioning(PPP)using the B2b signal,mainly for users in China and surrounding areas.In this paper,the performance of PPP-B2b service is experimentally analyzed first.Then,the ionosphere-free model is established.In order to solve the problem of slow convergence for traditional PPP,an adaptive robust extend Kalman filter(AREKF)algorithm is developed.Unlike the error compensation models,it reflects the noise information in real time by adjusting the covariance matrix of the measurements and the weight matrix of the state vector.The experimental results are analyzed last.Evaluation results indicate that the corrections provided by PPP-B2b can significantly reduce the discontinuous error of the orbits and clock offsets caused by broadcast ephemeris updating.Positioning results confirm that AREKF outperforms EKF both in static and kinematic modes.Around 20%improvement in accuracy and 25%improvement in convergence speed are achieved,making it valuable for PPP processing.
基金supported by the National Natural Science Foundation of China under Grant Nos.U23A20368 and 62575012supported by the Program of China under Grant No.31512020206.
摘要In response to the emerging demand for dynamic and cross-scale microscopic observation in fields such as biology,medicine,and materials science,the liquid lens has been widely adopted in modern microscopy to enable real-time,continuous optical zooming.However,the limited optical power of the liquid lens restricts the zoom range,and the nonlinear dynamic aberrations introduced during zooming can significantly degrade image quality.To address these challenges,a continuous optical zoom microscope with a large zoom ratio and adaptive aberration correction is proposed,based on an end-to-end joint optimization framework that integrates optical design and neural network guided by physical degradation.By incorporating spatially-variant,multi-wavelength,and continuous-magnification 4D PSF of the system as physical priors,this work achieves fast and high-quality continuous zoom imaging from 10.6×~101.4×,while adaptively correcting complex aberrations that vary with both magnification and spatial location.The core hardware component of the system is a zoom objective lens with a movable relay image plane,which especially integrates electrowetting liquid lenses.On the algorithmic side,4DPSF-aware Physical Degradation-guided Network(4DPSF-PDNet)is introduced for adaptive aberration correction during the zooming process.By embedding the PSF into the network,the method effectively suppresses distortions and artifacts and achieves precise correction of complex,dynamically varying aberrations.Experimental results demonstrate that the proposed adaptive continuous microscope holds significant promise for a wide range of applications in biology,medical diagnostics,and materials science.
摘要The deferred correction(DeC)is an iterative procedure,characterized by increasing the accuracy at each iteration,which can be used to design numerical methods for systems of ODEs.The main advantage of such framework is the automatic way of getting arbitrarily high order methods,which can be put in the Runge-Kutta(RK)form.The drawback is the larger computational cost with respect to the most used RK methods.To reduce such cost,in an explicit setting,we propose an efcient modifcation:we introduce interpolation processes between the DeC iterations,decreasing the computational cost associated to the low order ones.We provide the Butcher tableaux of the new modifed methods and we study their stability,showing that in some cases the computational advantage does not afect the stability.The fexibility of the novel modifcation allows nontrivial applications to PDEs and construction of adaptive methods.The good performances of the introduced methods are broadly tested on several benchmarks both in ODE and PDE contexts.
摘要Owing to the frequent variation in steel grades,plate dimensions,mill pacing,and mill working conditions,the zero point of a plate mill fluctuates accordingly,potentially leading to incorrect plate thickness results.Using the actual measured thickness curve data,a zero-point correction model was developed based on lot classifications with respect to the steel grade,dimensions,and last-pass rolling force.The application of this model achieves enhanced variation prediction of the zero point and improved plate-thickness control.
基金supported by National Natural Science Foundation of China(No.61561030)College Industry Support Plan Project of Gansu Provincial Department of Education(No.2021CYZC-04)Educational Reform Fund of Lanzhou Jiaotong University(No.JG201928)。
摘要In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruction with adaptive transmittance and atmospheric light correction was proposed.Firstly,the algorithm used the open operation under morphological reconstruction to replace the minimum filter operation in the dark channel,and used the morphological edge to set the scale of the open operation structure elements,and constructed a multi-scale open operation fusion dark channel.After morphological noise reduction,the exact initial transmittance was obtained.According to the relationship between brightness and saturation difference and transmittance,an adaptive transmittance correction model was fitted with Gaussian function to correct the initial transmittance of the sky fog map.Then the local atmospheric light was improved according to the image brightness information and morphology closure operation.Finally,the proposed algorithm was combined with the atmospheric scattering model to obtain an accurate fog free image.The experimental results showed that the proposed algorithm was suitable for fog image restoration under various scenes,the restoration effect was good,and the brightness was suitable.
基金supported by the National Natural Science Foundationof China(60974104)the National Defense Technical Foundation of Shipbuilding Industry(08J3.8.8)
摘要It has been proven that carrier smoothing and differential global positioning system(DGPS)are effective to improve the accuracy of pseudorange by reducing the noise in it and eliminating almost all the common mode errors between the ground station and user.However,another issue coming with local area augmentation system(LAAS)is how to find an adaptive smoothing window width to minimize the error on account of ionosphere delay and multipath.Based on the errors analysis in carrier smoothing process,a novel algorithm is formulated to design adaptive Hatch filter whose smoothing window width flexibly varies with the characteristic of ionosphere delay and multipath in the differential carrier smoothing process.By conducting the simulation in LAAS and after compared with traditional Hatch filers,it reveals that not only the accuracy of differential correction,but also the accuracy and the robustness of positioning results are significantly improved by using the designed adaptive Hatch filter.
基金Supported by the National Natural Science Foundation of China(51174091,61364013,61164013)Earlier Research Project of the State Key Development Program for Basic Research of China(2014CB360502)
摘要For measurement of component content in the extraction and separation process of praseodymiumeodymium(Pr/Nd), a soft measurement method was proposed based on modeling of ion color features, which is suitable for fast estimation of component content in production field. Feature analysis on images of the solution is conducted,which are captured from Pr/Nd extraction/separation field. H/S components in the HSI color space are selected as model inputs, so as to establish the least squares support vector machine(LSSVM) model for Nd(Pr) content,while the model parameters are determined with the GA algorithm. To improve the adaptability of the model,the adaptive iteration algorithm is used to correct parameters of the LSSVM model, on the basis of model correction strategy and new sample data. Using the field data collected from rare earth extraction production, predictive methods for component content and comparisons are given. The results indicate that the proposed method presents good adaptability and high prediction precision, so it is applicable to the fast detection of element content in the rare earth extraction.
摘要A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal is used to update the step-size, leading to a considerably improved convergence rate in a low SNR situation and reduced steady-state bias and MSE. The theoretical expression for steady-state bounds on the step-size is derived, and the influence factors on the stable performance of the algorithm theoretically are analyzed. A normalized power factor is then introduced to control variation of step-size in its steady-state bounds. This technique prevents divergence due to the influence of large power input signal and improves robustness. Numerical experiments are performed to demonstrate superiority of the proposed method.