In this paper,we investigate the method of compensating LTS SQUID Gradiometer Systems data.By matching the attitude changes of the pod in fl ight to the anomalies of the magnetic measurement data,we find that the yaw ...In this paper,we investigate the method of compensating LTS SQUID Gradiometer Systems data.By matching the attitude changes of the pod in fl ight to the anomalies of the magnetic measurement data,we find that the yaw attitude changes most dramatically and corresponds best to the magnetic data anomaly interval.Based on this finding,we solved the compensation model using least squares fitting and Huber's parametric fitting.By comparison,we found that the Huber parametric fit not only eliminates the interference introduced by attitude changes but also retains richer anomaly source information and therefore obtains a higher signal-to-noise ratio.The experimental results show that the quality of the magnetometry data obtained by using the compensation method proposed in this paper has been significantly improved,and the mean value of its improvement ratio can reach 118.93.展开更多
Timely and accurate diagnosis of skin diseases is crucial as conventional methods are time-consuming and prone to errors.Traditional trial-and-error approaches often aggregate multiple models without optimization by r...Timely and accurate diagnosis of skin diseases is crucial as conventional methods are time-consuming and prone to errors.Traditional trial-and-error approaches often aggregate multiple models without optimization by resulting in suboptimal performance.To address these challenges,we propose a novel Squid Game OptimizationDimension Reduction-based Ensemble(SGO-DRE)method for the precise diagnosis of skin diseases.Our approach begins by selecting pre-trained models named MobileNetV1,DenseNet201,and Xception for robust feature extraction.These models are enhanced with dimension reduction blocks to improve efficiency.To tackle the aggregation problem of various models,we leverage the Squid Game Optimization(SGO)algorithm,which iteratively searches for the optimal weightage set to assign the appropriate weightage to each individual model within the proposed weighted average aggregation ensemble approach.The proposed ensemble method effectively utilizes the strengths of each model.We evaluated the proposed method using an 8-class skin disease dataset,a 6-class MSLD dataset,and a 4-class MSID dataset,achieving accuracies of 98.71%,96.34%,and 93.46%,respectively.Additionally,we employed visual tools like Grad-CAM,ROC curves,and Precision-Recall curves to interpret the decision making of models and assess its performance.These evaluations ensure that the proposed method not only provides robust results but also enhances interpretability and reliability in clinical decision-making.展开更多
Compared with the propulsion mode using the fluctuation or swing of fins,the water-jet propulsion of cephalopods has attracted much attention because of its high swimming speed.This paper introduces a squid-like under...Compared with the propulsion mode using the fluctuation or swing of fins,the water-jet propulsion of cephalopods has attracted much attention because of its high swimming speed.This paper introduces a squid-like underwater thruster based on an origami structure,which can realize water-jet propulsion by changing the shape of its origami structure.At the same time,it is combined with a soft vector nozzle driven by negative pressure for underwater steering.In addition,a triboelectric sensor(TES)is embedded in the origami structure to monitor the shape change of the thruster in real time.The kinematics model of the origami structure is established,and the dihedral angle B_(0)^(4),which can be used to characterize the unique shape of the thruster,is put forward.The dihedral angle B_(0)^(4)is monitored by the TES so that the shape change of the thruster can be feedback in real-time.Prototypes of the thruster and vector nozzle were fabricated,and the maximum error of TES in monitoring the shape of the thruster was less than 4.4%.At the same time,an underwater test platform was built to test the thruster’s propulsion performance and the vector nozzle’s deflection effect.展开更多
Anticyclonic eddies are widely distributed off Peru,producing obvious effects on climate-environmentsensitive jumbo flying squid Dosidicus gigas.However,how the habitat of D.gigas changes within anticyclonic eddies du...Anticyclonic eddies are widely distributed off Peru,producing obvious effects on climate-environmentsensitive jumbo flying squid Dosidicus gigas.However,how the habitat of D.gigas changes within anticyclonic eddies during El Ni?o events is still unknown.Therefore,this study constructed a habitat model with different weights and screened the optimal performance model using fishery data from September to December during 2015 to 2019,as well as vertical water temperature data(sea surface temperature and 50 m water depth temperature)and surface chlorophyll concentration data(Chl-a).Then,combined with the eddy tracking dataset,the differences in the variation of resource abundance and habitat of D.gigas within the anticyclonic eddy between the 2015 El Ni?o year and the 2019 normal year were further comparatively analyzed based on the optimal habitat model.Compared with the normal year of 2019,the 2015 El Ni?o event occurred with a lower intensity of eddy activity,and both temperature in the fishing ground and near-surface sea water temperature within the anticyclonic eddy became warmer,with a small decrease in Chl-a;the percentage of suitable near-surface water temperature within the anticyclonic eddies decreased significantly,and suitable Chl-a decreased slightly;the suitable habitat for D.gigas was reduced dramatically,which was unfavorable to D.gigas survival.Our finding suggested that that anomalous climatic events can have an impact on eddy strength,as well as on the suitable environment and habitat within the anticyclonic eddies,resulting in variations in the abundance of D.gigas.展开更多
基金Earth Observation and Navigation Special,Research on Low Temperature Superconducting Aeromagnetic Vector Gradient Observation Technology(2021YFB3900201)projectState Key Laboratory of Remote Sensing Science project.
文摘In this paper,we investigate the method of compensating LTS SQUID Gradiometer Systems data.By matching the attitude changes of the pod in fl ight to the anomalies of the magnetic measurement data,we find that the yaw attitude changes most dramatically and corresponds best to the magnetic data anomaly interval.Based on this finding,we solved the compensation model using least squares fitting and Huber's parametric fitting.By comparison,we found that the Huber parametric fit not only eliminates the interference introduced by attitude changes but also retains richer anomaly source information and therefore obtains a higher signal-to-noise ratio.The experimental results show that the quality of the magnetometry data obtained by using the compensation method proposed in this paper has been significantly improved,and the mean value of its improvement ratio can reach 118.93.
基金funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R749)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Timely and accurate diagnosis of skin diseases is crucial as conventional methods are time-consuming and prone to errors.Traditional trial-and-error approaches often aggregate multiple models without optimization by resulting in suboptimal performance.To address these challenges,we propose a novel Squid Game OptimizationDimension Reduction-based Ensemble(SGO-DRE)method for the precise diagnosis of skin diseases.Our approach begins by selecting pre-trained models named MobileNetV1,DenseNet201,and Xception for robust feature extraction.These models are enhanced with dimension reduction blocks to improve efficiency.To tackle the aggregation problem of various models,we leverage the Squid Game Optimization(SGO)algorithm,which iteratively searches for the optimal weightage set to assign the appropriate weightage to each individual model within the proposed weighted average aggregation ensemble approach.The proposed ensemble method effectively utilizes the strengths of each model.We evaluated the proposed method using an 8-class skin disease dataset,a 6-class MSLD dataset,and a 4-class MSID dataset,achieving accuracies of 98.71%,96.34%,and 93.46%,respectively.Additionally,we employed visual tools like Grad-CAM,ROC curves,and Precision-Recall curves to interpret the decision making of models and assess its performance.These evaluations ensure that the proposed method not only provides robust results but also enhances interpretability and reliability in clinical decision-making.
文摘Compared with the propulsion mode using the fluctuation or swing of fins,the water-jet propulsion of cephalopods has attracted much attention because of its high swimming speed.This paper introduces a squid-like underwater thruster based on an origami structure,which can realize water-jet propulsion by changing the shape of its origami structure.At the same time,it is combined with a soft vector nozzle driven by negative pressure for underwater steering.In addition,a triboelectric sensor(TES)is embedded in the origami structure to monitor the shape change of the thruster in real time.The kinematics model of the origami structure is established,and the dihedral angle B_(0)^(4),which can be used to characterize the unique shape of the thruster,is put forward.The dihedral angle B_(0)^(4)is monitored by the TES so that the shape change of the thruster can be feedback in real-time.Prototypes of the thruster and vector nozzle were fabricated,and the maximum error of TES in monitoring the shape of the thruster was less than 4.4%.At the same time,an underwater test platform was built to test the thruster’s propulsion performance and the vector nozzle’s deflection effect.
基金financially supported by the Natural Science Foundation of Shanghai(23ZR1427100)the Shanghai Talent Development Funding for the Project(2021078)+1 种基金the National Key R&D Program of China(2023YFD2401303)the Open Fund of Key Laboratory for Sustainable Utilization of Open-sea Fishery,Ministry of Agriculture and Rural Affairs,P.R.China(LOF 2023-05)
文摘Anticyclonic eddies are widely distributed off Peru,producing obvious effects on climate-environmentsensitive jumbo flying squid Dosidicus gigas.However,how the habitat of D.gigas changes within anticyclonic eddies during El Ni?o events is still unknown.Therefore,this study constructed a habitat model with different weights and screened the optimal performance model using fishery data from September to December during 2015 to 2019,as well as vertical water temperature data(sea surface temperature and 50 m water depth temperature)and surface chlorophyll concentration data(Chl-a).Then,combined with the eddy tracking dataset,the differences in the variation of resource abundance and habitat of D.gigas within the anticyclonic eddy between the 2015 El Ni?o year and the 2019 normal year were further comparatively analyzed based on the optimal habitat model.Compared with the normal year of 2019,the 2015 El Ni?o event occurred with a lower intensity of eddy activity,and both temperature in the fishing ground and near-surface sea water temperature within the anticyclonic eddy became warmer,with a small decrease in Chl-a;the percentage of suitable near-surface water temperature within the anticyclonic eddies decreased significantly,and suitable Chl-a decreased slightly;the suitable habitat for D.gigas was reduced dramatically,which was unfavorable to D.gigas survival.Our finding suggested that that anomalous climatic events can have an impact on eddy strength,as well as on the suitable environment and habitat within the anticyclonic eddies,resulting in variations in the abundance of D.gigas.
