High geothermal temperatures appear to be unfavorable for the construction of tunnels in slate rocks with high overburden. To investigate the mechanical characteristics of slates at various levels of geothermal temper...High geothermal temperatures appear to be unfavorable for the construction of tunnels in slate rocks with high overburden. To investigate the mechanical characteristics of slates at various levels of geothermal temperature, conventional triaxial compression tests at different levels of confining stress were carried out at 4 different temperatures from 20℃ to 120℃. The obtained results show high confining pressures weaken the thermal effects on rock mechanical characteristics while higher temperatures enhance the effect of confining pressure.At higher levels of confining stress the thermal effects on the rock strength characteristics decrease. The higher the temperature, the larger is the effect of confining pressure on the mechanical characteristics of the slate. Increase of temperature leads to a decrease of the peak strength but increases the deformability and ductility of the slate, the thermo effect on the peak strength and Poisson's ratio is larger than on the elastic modulus. Higher temperatures reduce the shear strength of slate, the decrease is mainly caused by a decrease of the cohesion. In general, the slate samples fail in shear failure.展开更多
When estimating the capacity of lithium-ion batteries offline or online,it is essential to extract a health feature(HF)that can effectively characterize capacity degradation under both conventional ideal and complex d...When estimating the capacity of lithium-ion batteries offline or online,it is essential to extract a health feature(HF)that can effectively characterize capacity degradation under both conventional ideal and complex dynamic operating conditions.However,the extraction of most HFs relies on complete charge-discharge cycle data,making them less adaptable to complex dynamic operating conditions.Existing mechanism HFs,while capable of characterizing capacity degradation from a mechanism perspective,suffer from limitations such as insufficient physical model expressiveness,high dimension,and redundancy of the mechanism HF.These issues increase the complexity of subsequent modeling of the relationship between HFs and capacity,thereby restricting their promotion in engineering practice.To meet this gap,this paper proposes a novel mechanism-based HF.Firstly,a multi-physical fields coupling model is developed to describe the interactions between electrochemical,thermal,and aging behaviors of the battery.Secondly,based on the aging mechanism,the accumulated charge of lithium lost during the formation of the solid electrolyte interphase(SEI)film is extracted as HF to provide a more intuitive representation of capacity degradation.Then,to reduce estimation errors caused by considering only a single aging mechanism,multiple representative regression models are employed to establish the mapping relationship between the mechanism HF and capacity,further enhancing the accuracy of final results.Finally,the proposed method is implemented and validated using real battery data under three different types of operating conditions.Experimental results demonstrate that,compared to other commonly used HFs,the proposed HF exhibits significant competitive advantages in handling incomplete cycle data,unknown operating conditions,and capacity estimation models.The minimum estimation error under ideal conditions is 0.0074,and the minimum estimation error under complex dynamic conditions is 0.0268.展开更多
When detecting objects in Unmanned Aerial Vehicle(UAV)taken images,large number of objects and high proportion of small objects bring huge challenges for detection algorithms based on the You Only Look Once(YOLO)frame...When detecting objects in Unmanned Aerial Vehicle(UAV)taken images,large number of objects and high proportion of small objects bring huge challenges for detection algorithms based on the You Only Look Once(YOLO)framework,rendering them challenging to deal with tasks that demand high precision.To address these problems,this paper proposes a high-precision object detection algorithm based on YOLOv10s.Firstly,a Multi-branch Enhancement Coordinate Attention(MECA)module is proposed to enhance feature extraction capability.Secondly,a Multilayer Feature Reconstruction(MFR)mechanism is designed to fully exploit multilayer features,which can enrich object information as well as remove redundant information.Finally,an MFR Path Aggregation Network(MFR-Neck)is constructed,which integrates multi-scale features to improve the network's ability to perceive objects of var-ying sizes.The experimental results demonstrate that the proposed algorithm increases the average detection accuracy by 14.15%on the Vis Drone dataset compared to YOLOv10s,effectively enhancing object detection precision in UAV-taken images.展开更多
A two-dimensional axisymmetric finite element model is developed to analyze the transient thermal and mechanical behaviors of the Resistance Spot Welding （RSW） process using commercial software ANSYS. Firstly a dire...A two-dimensional axisymmetric finite element model is developed to analyze the transient thermal and mechanical behaviors of the Resistance Spot Welding （RSW） process using commercial software ANSYS. Firstly a direct-coupled electrical-thermal Finite Element Analysis （FEA） is performed to analyze the transient thermal characteristics of the RSW process. Then based on the thermal results a sequential coupled thermo-elastic-plastic analysis is conducted to determine the mechanical features of the RSW process. The thermal history of the whole process and the temperature distribution of the weldment are obtained through the analysis. The mechanical features, including the distributions of the contact pressure at both the faying surface and the electrode-workpiece interface, the stress and strain distributions in the weldment and their changes during the RSW process, the deformation of the weldment and the electrode displacement are also calculated.展开更多
The red beds in Zhejiang province of China host the highest concentration of Danxia arched rock shelters in the world,just as the Colorado Plateau in the western USA hosts the world's largest concentration of natu...The red beds in Zhejiang province of China host the highest concentration of Danxia arched rock shelters in the world,just as the Colorado Plateau in the western USA hosts the world's largest concentration of natural arches and bridges.This study investigated the geological background of the arched rock shelters and compared them to the natural arches and bridges,based on field study and a literature review.It was found that Zhejiang arched rock shelters differ from Colorado Plateau natural arches and bridges in geometry and formation mechanism.Statistical geometric data on arch geometry shows that Danxia arched rock shelters in Zhejiang tend to be relatively flat.They are relatively low features with long spans,and great depth.The natural arches and bridges on the Colorado Plateau are similar to each other,but the bridges are larger than the arches.The geometric differences between the arched landforms could be attributed to their different geologic history and to their different formation mechanisms.The arched rock shelters in Zhejiang are formed by differential weathering between sandstone and conglomerate due to moisture-induced tensile stresses.In contrast,natural arches on the Colorado Plateau are closely related to the Salt Valley anticline,vertical tectonic fractures,and horizontal discontinuities in rock fins.The Colorado Plateau natural bridges were formed by river erosion.展开更多
In this paper,a feature interactive bi-temporal change detection network(FIBTNet)is designed to solve the problem of pseudo change in remote sensing image building change detection.The network improves the accuracy of...In this paper,a feature interactive bi-temporal change detection network(FIBTNet)is designed to solve the problem of pseudo change in remote sensing image building change detection.The network improves the accuracy of change detection through bi-temporal feature interaction.FIBTNet designs a bi-temporal feature exchange architecture(EXA)and a bi-temporal difference extraction architecture(DFA).EXA improves the feature exchange ability of the model encoding process through multiple space,channel or hybrid feature exchange methods,while DFA uses the change residual(CR)module to improve the ability of the model decoding process to extract different features at multiple scales.Additionally,at the junction of encoder and decoder,channel exchange is combined with the CR module to achieve an adaptive channel exchange,which further improves the decision-making performance of model feature fusion.Experimental results on the LEVIR-CD and S2Looking datasets demonstrate that iCDNet achieves superior F1 scores,Intersection over Union(IoU),and Recall compared to mainstream building change detectionmodels,confirming its effectiveness and superiority in the field of remote sensing image change detection.展开更多
HIV/AIDS is an immune deficiency disease, caused by an RNA virus (positively charged pathogen). It is still being regarded as mysteriously incurable but in Nigeria many patients have been cured (they became HIV-antibo...HIV/AIDS is an immune deficiency disease, caused by an RNA virus (positively charged pathogen). It is still being regarded as mysteriously incurable but in Nigeria many patients have been cured (they became HIV-antibody and antigen negative) by exploiting electrostatic attraction between pathogens and opposite electrical charges that are on Nanoparticles of Medicinal synthetic Aluminum-magnesium silicate (MSAMS) and by using antioxidants to relieve oxidative stress. To confirm the cure, as permanent, a patient (adult male) whose CD4 count increased (P < 0.05) from 685 to 820 while his viral load became undetectable (<20) and he became HIV-negative (antibody and antigen) following the treatment, was tested, every month, post treatment, for HIV-antibody. He has remained HIV-negative for 10 months without being on any antiretroviral medicine (ARV). Longest window period (period HIV-infected person may test antibody-negative) is only 6 months. These results confirm that treatment with the MSAMS and antioxidants normalizes immunity and terminates HIV-infections.展开更多
An object is usually composed of different features(e.g.,color,orientation,and motion),which are processed by segregated visual pathways and represented by functionally specialized brain areas.However,we perceive an o...An object is usually composed of different features(e.g.,color,orientation,and motion),which are processed by segregated visual pathways and represented by functionally specialized brain areas.However,we perceive an object as a coherent whole,rather than its isolated features.How we integrate those isolated features and achieve a precise perception of objects is a fundamental challenge for the visual system,which is referred to as the binding problem.展开更多
Aiming at the problems of current image tampering detectionmethods,such as inaccurate localization or poor robustness.We propose a novel network model structure leveraging a hybrid attentionmechanism.The model incorpo...Aiming at the problems of current image tampering detectionmethods,such as inaccurate localization or poor robustness.We propose a novel network model structure leveraging a hybrid attentionmechanism.The model incorporates two parallel branches:the main branch is dedicated to extracting features from RGB images,emphasizing the identification of visual artifacts like unnatural tampering boundaries and strong contrast differences,while the secondary branch,employing constrained convolution and the spatial rich model(SRM)filter,is focused on extracting features associated with noise.To enhance image representation,we introduce a hybrid attention mechanism module within the dual stream.This module includes a positional attention mechanism and a window-based selfattention mechanism.Additionally,we employ atrous spatial pyramid pooling to effectively fuse the features from the dual streams.The experimental results showcase the efficiency of the suggested approach,outclassing several advanced techniques in both detection and localization assignments.展开更多
基金supported by National Natural Science Foundation of China(Grant No.41230635)Projects of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Grant No.SKLGP2013Z004)+1 种基金The Cultivating programme of middle-aged backbone teachers of Chengdu University of Technology(Grant No.JXGG201703)Key Projects of Education Department of Sichuan Province(Grant No.16ZA0095)
文摘High geothermal temperatures appear to be unfavorable for the construction of tunnels in slate rocks with high overburden. To investigate the mechanical characteristics of slates at various levels of geothermal temperature, conventional triaxial compression tests at different levels of confining stress were carried out at 4 different temperatures from 20℃ to 120℃. The obtained results show high confining pressures weaken the thermal effects on rock mechanical characteristics while higher temperatures enhance the effect of confining pressure.At higher levels of confining stress the thermal effects on the rock strength characteristics decrease. The higher the temperature, the larger is the effect of confining pressure on the mechanical characteristics of the slate. Increase of temperature leads to a decrease of the peak strength but increases the deformability and ductility of the slate, the thermo effect on the peak strength and Poisson's ratio is larger than on the elastic modulus. Higher temperatures reduce the shear strength of slate, the decrease is mainly caused by a decrease of the cohesion. In general, the slate samples fail in shear failure.
基金supported by the National Natural Science Foundation of China(NSFC,No.62303031)the Fundamental Research Funds for the Central Universities。
文摘When estimating the capacity of lithium-ion batteries offline or online,it is essential to extract a health feature(HF)that can effectively characterize capacity degradation under both conventional ideal and complex dynamic operating conditions.However,the extraction of most HFs relies on complete charge-discharge cycle data,making them less adaptable to complex dynamic operating conditions.Existing mechanism HFs,while capable of characterizing capacity degradation from a mechanism perspective,suffer from limitations such as insufficient physical model expressiveness,high dimension,and redundancy of the mechanism HF.These issues increase the complexity of subsequent modeling of the relationship between HFs and capacity,thereby restricting their promotion in engineering practice.To meet this gap,this paper proposes a novel mechanism-based HF.Firstly,a multi-physical fields coupling model is developed to describe the interactions between electrochemical,thermal,and aging behaviors of the battery.Secondly,based on the aging mechanism,the accumulated charge of lithium lost during the formation of the solid electrolyte interphase(SEI)film is extracted as HF to provide a more intuitive representation of capacity degradation.Then,to reduce estimation errors caused by considering only a single aging mechanism,multiple representative regression models are employed to establish the mapping relationship between the mechanism HF and capacity,further enhancing the accuracy of final results.Finally,the proposed method is implemented and validated using real battery data under three different types of operating conditions.Experimental results demonstrate that,compared to other commonly used HFs,the proposed HF exhibits significant competitive advantages in handling incomplete cycle data,unknown operating conditions,and capacity estimation models.The minimum estimation error under ideal conditions is 0.0074,and the minimum estimation error under complex dynamic conditions is 0.0268.
基金co-supported by the National Natural Science Foundation of China(No.62103190)the Natural Science Foundation of Jiangsu Province,China(No.BK20230923)。
文摘When detecting objects in Unmanned Aerial Vehicle(UAV)taken images,large number of objects and high proportion of small objects bring huge challenges for detection algorithms based on the You Only Look Once(YOLO)framework,rendering them challenging to deal with tasks that demand high precision.To address these problems,this paper proposes a high-precision object detection algorithm based on YOLOv10s.Firstly,a Multi-branch Enhancement Coordinate Attention(MECA)module is proposed to enhance feature extraction capability.Secondly,a Multilayer Feature Reconstruction(MFR)mechanism is designed to fully exploit multilayer features,which can enrich object information as well as remove redundant information.Finally,an MFR Path Aggregation Network(MFR-Neck)is constructed,which integrates multi-scale features to improve the network's ability to perceive objects of var-ying sizes.The experimental results demonstrate that the proposed algorithm increases the average detection accuracy by 14.15%on the Vis Drone dataset compared to YOLOv10s,effectively enhancing object detection precision in UAV-taken images.
文摘A two-dimensional axisymmetric finite element model is developed to analyze the transient thermal and mechanical behaviors of the Resistance Spot Welding （RSW） process using commercial software ANSYS. Firstly a direct-coupled electrical-thermal Finite Element Analysis （FEA） is performed to analyze the transient thermal characteristics of the RSW process. Then based on the thermal results a sequential coupled thermo-elastic-plastic analysis is conducted to determine the mechanical features of the RSW process. The thermal history of the whole process and the temperature distribution of the weldment are obtained through the analysis. The mechanical features, including the distributions of the contact pressure at both the faying surface and the electrode-workpiece interface, the stress and strain distributions in the weldment and their changes during the RSW process, the deformation of the weldment and the electrode displacement are also calculated.
基金National Natural Science Foundation of China,No.41372322。
文摘The red beds in Zhejiang province of China host the highest concentration of Danxia arched rock shelters in the world,just as the Colorado Plateau in the western USA hosts the world's largest concentration of natural arches and bridges.This study investigated the geological background of the arched rock shelters and compared them to the natural arches and bridges,based on field study and a literature review.It was found that Zhejiang arched rock shelters differ from Colorado Plateau natural arches and bridges in geometry and formation mechanism.Statistical geometric data on arch geometry shows that Danxia arched rock shelters in Zhejiang tend to be relatively flat.They are relatively low features with long spans,and great depth.The natural arches and bridges on the Colorado Plateau are similar to each other,but the bridges are larger than the arches.The geometric differences between the arched landforms could be attributed to their different geologic history and to their different formation mechanisms.The arched rock shelters in Zhejiang are formed by differential weathering between sandstone and conglomerate due to moisture-induced tensile stresses.In contrast,natural arches on the Colorado Plateau are closely related to the Salt Valley anticline,vertical tectonic fractures,and horizontal discontinuities in rock fins.The Colorado Plateau natural bridges were formed by river erosion.
基金supported in part by the Fund of National Sensor Network Engineering Technology Research Center(No.NSNC202103)the Natural Science Research Project in Colleges and Universities of Anhui Province(No.2022AH040155)the Undergraduate Teaching Quality and Teaching Reform Engineering Project of Chuzhou University(No.2022ldtd03).
文摘In this paper,a feature interactive bi-temporal change detection network(FIBTNet)is designed to solve the problem of pseudo change in remote sensing image building change detection.The network improves the accuracy of change detection through bi-temporal feature interaction.FIBTNet designs a bi-temporal feature exchange architecture(EXA)and a bi-temporal difference extraction architecture(DFA).EXA improves the feature exchange ability of the model encoding process through multiple space,channel or hybrid feature exchange methods,while DFA uses the change residual(CR)module to improve the ability of the model decoding process to extract different features at multiple scales.Additionally,at the junction of encoder and decoder,channel exchange is combined with the CR module to achieve an adaptive channel exchange,which further improves the decision-making performance of model feature fusion.Experimental results on the LEVIR-CD and S2Looking datasets demonstrate that iCDNet achieves superior F1 scores,Intersection over Union(IoU),and Recall compared to mainstream building change detectionmodels,confirming its effectiveness and superiority in the field of remote sensing image change detection.
文摘HIV/AIDS is an immune deficiency disease, caused by an RNA virus (positively charged pathogen). It is still being regarded as mysteriously incurable but in Nigeria many patients have been cured (they became HIV-antibody and antigen negative) by exploiting electrostatic attraction between pathogens and opposite electrical charges that are on Nanoparticles of Medicinal synthetic Aluminum-magnesium silicate (MSAMS) and by using antioxidants to relieve oxidative stress. To confirm the cure, as permanent, a patient (adult male) whose CD4 count increased (P < 0.05) from 685 to 820 while his viral load became undetectable (<20) and he became HIV-negative (antibody and antigen) following the treatment, was tested, every month, post treatment, for HIV-antibody. He has remained HIV-negative for 10 months without being on any antiretroviral medicine (ARV). Longest window period (period HIV-infected person may test antibody-negative) is only 6 months. These results confirm that treatment with the MSAMS and antioxidants normalizes immunity and terminates HIV-infections.
文摘An object is usually composed of different features(e.g.,color,orientation,and motion),which are processed by segregated visual pathways and represented by functionally specialized brain areas.However,we perceive an object as a coherent whole,rather than its isolated features.How we integrate those isolated features and achieve a precise perception of objects is a fundamental challenge for the visual system,which is referred to as the binding problem.
基金The National Natural Science Foundation of China(61602295).
文摘Aiming at the problems of current image tampering detectionmethods,such as inaccurate localization or poor robustness.We propose a novel network model structure leveraging a hybrid attentionmechanism.The model incorporates two parallel branches:the main branch is dedicated to extracting features from RGB images,emphasizing the identification of visual artifacts like unnatural tampering boundaries and strong contrast differences,while the secondary branch,employing constrained convolution and the spatial rich model(SRM)filter,is focused on extracting features associated with noise.To enhance image representation,we introduce a hybrid attention mechanism module within the dual stream.This module includes a positional attention mechanism and a window-based selfattention mechanism.Additionally,we employ atrous spatial pyramid pooling to effectively fuse the features from the dual streams.The experimental results showcase the efficiency of the suggested approach,outclassing several advanced techniques in both detection and localization assignments.
