The large dynamic range and high performance of temperature and humidity profile lidar made it a popular tool for monitoring the atmospheric environment.In this study,we carried out an accurate analysis of the key com...The large dynamic range and high performance of temperature and humidity profile lidar made it a popular tool for monitoring the atmospheric environment.In this study,we carried out an accurate analysis of the key components of the lidar system,including lasers,the emitting and receiving light paths,and photodetectors.We combined the validation of simulations with experimental testing,and then the applicability indicators and necessary conditions in accordance were suggested.For the frequency stability of the laser,when the wavelength shift is less than 0.15%,the measurement accuracy of the system can be guaranteed to be less than 5%.The degree of near-field signal distortion will be significantly impacted by the size of the geometric factor’s transition zone.The introduced measurement error is less than 2%when the deviation angle of the emission axis is less than 0.1 mrad.It has been tested that selecting a low-sensitivity detector can help to improve the sensitivity of temperature detection since this channel is sensitive to the detector’s nonlinearity.To enhance lidar’s detection capabilities and direct the lidar system design process,it is beneficial to analyze the precision of the key components.展开更多
In the field of aircraft design and maintenance,with the innovation of cabin cable three-dimensional(3D)scanning and sensor technology,high-precision cabin point cloud data has become the key to improving the accuracy...In the field of aircraft design and maintenance,with the innovation of cabin cable three-dimensional(3D)scanning and sensor technology,high-precision cabin point cloud data has become the key to improving the accuracy of cabin navigation and building a realistic virtual reality environment.In the face of largescale point cloud data,how to efficiently and uniformly construct a realistic virtual reality environment has become a challenge.In this paper,we propose a new low-parametric point cloud upsampling network(LPNet),which is based on the no-learn model to learn the complementary geometric knowledge between point clouds based on some simple data transformations,to efficiently retain the geometric properties of point clouds,and then input the results into the up-sampling module,and simply insert a few layers of multilayer perceptron(MLP)to efficiently generate high-resolution point clouds.It is able to efficiently generate high-resolution point clouds,showing great flexibility and realizing the efficient use of computational resources.展开更多
The development of effective and efficient materials for the selective and sensitive detection of toxic gases and volatile organic compounds is crucial for protecting human health and the environment.In this respect,a...The development of effective and efficient materials for the selective and sensitive detection of toxic gases and volatile organic compounds is crucial for protecting human health and the environment.In this respect,a well-known n-type semiconducting material,namely indium oxide(In_(2)O_(3)),has attracted significant attention because of its gas-sensing applications.The rapid advances in various synthesis techniques have enabled researchers to explore numerous novel nanostructures and their integration into smart gassensing devices.Despite sustainable development,the application of In_(2)O_(3)in gas sensing is limited by its poor selectivity,high working temperature,and response deterioration under humid conditions.This review outlines various strategies,such as morphology and interface engineering,catalytic functionalization,shell structure and thickness,and doping,for improving the gas detection performance of In_(2)O_(3)-based chemiresistive gas sensors.The significant influence of the nanostructures with different morphologies on the gas-sensing performance of In_(2)O_(3)-based sensors is also demonstrated.Pristine In_(2)O_(3)nanomaterials with zero-dimensional(0D)to three-dimensional(3D)morphologies are reviewed.Different composites of In_(2)O_(3),including In_(2)O_(3)/metal oxides(p-type and n-type),In_(2)O_(3)/noble metal loading and encapsulation,In_(2)O_(3)/elemental doping,In_(2)O_(3)/conducting polymers,and In_(2)O_(3)/carbonaceous materials,were evaluated to improve their sensing performances.Finally,a future outlook on the further progress of the In_(2)O_(3)gas sensors is suggested.展开更多
Molecule-based crystalline materials with long-lived room temperature phosphorescence have been paid tremendous attention due to their promising properties for the critical requirements of applications in anti-counter...Molecule-based crystalline materials with long-lived room temperature phosphorescence have been paid tremendous attention due to their promising properties for the critical requirements of applications in anti-counterfeiting,organic light-emitting diodes,displays,and biochemistry.It is illustrated that the room temperature phosphorescence properties of molecular phosphors can be highly enhanced based on the formation of a rigid environment.In this review,the important role of several rigid organic-inorganic hybrid hosts such as metal-organic frameworks (MOFs),organic-inorganic hybrid perovskites,and layered double hydroxides is highlighted.The fundamental mechanism,design principles,and enhancement strategies to achieve high performance phosphorescent emission have also been discussed.Finally,we briefly discuss perspectives on the further development of these organic-inorganic hybrid systems.展开更多
基金supported by the National Key R&D Program of China(Nos.2022YFC3700400 and 2022YFC3704000).
文摘The large dynamic range and high performance of temperature and humidity profile lidar made it a popular tool for monitoring the atmospheric environment.In this study,we carried out an accurate analysis of the key components of the lidar system,including lasers,the emitting and receiving light paths,and photodetectors.We combined the validation of simulations with experimental testing,and then the applicability indicators and necessary conditions in accordance were suggested.For the frequency stability of the laser,when the wavelength shift is less than 0.15%,the measurement accuracy of the system can be guaranteed to be less than 5%.The degree of near-field signal distortion will be significantly impacted by the size of the geometric factor’s transition zone.The introduced measurement error is less than 2%when the deviation angle of the emission axis is less than 0.1 mrad.It has been tested that selecting a low-sensitivity detector can help to improve the sensitivity of temperature detection since this channel is sensitive to the detector’s nonlinearity.To enhance lidar’s detection capabilities and direct the lidar system design process,it is beneficial to analyze the precision of the key components.
文摘In the field of aircraft design and maintenance,with the innovation of cabin cable three-dimensional(3D)scanning and sensor technology,high-precision cabin point cloud data has become the key to improving the accuracy of cabin navigation and building a realistic virtual reality environment.In the face of largescale point cloud data,how to efficiently and uniformly construct a realistic virtual reality environment has become a challenge.In this paper,we propose a new low-parametric point cloud upsampling network(LPNet),which is based on the no-learn model to learn the complementary geometric knowledge between point clouds based on some simple data transformations,to efficiently retain the geometric properties of point clouds,and then input the results into the up-sampling module,and simply insert a few layers of multilayer perceptron(MLP)to efficiently generate high-resolution point clouds.It is able to efficiently generate high-resolution point clouds,showing great flexibility and realizing the efficient use of computational resources.
基金supported by the Korea Polar Research Institute(KOPRI)grant funded by the Ministry of Oceans and Fisheries(KOPRI project No.PE22900)National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2021R1A2C1009790).
文摘The development of effective and efficient materials for the selective and sensitive detection of toxic gases and volatile organic compounds is crucial for protecting human health and the environment.In this respect,a well-known n-type semiconducting material,namely indium oxide(In_(2)O_(3)),has attracted significant attention because of its gas-sensing applications.The rapid advances in various synthesis techniques have enabled researchers to explore numerous novel nanostructures and their integration into smart gassensing devices.Despite sustainable development,the application of In_(2)O_(3)in gas sensing is limited by its poor selectivity,high working temperature,and response deterioration under humid conditions.This review outlines various strategies,such as morphology and interface engineering,catalytic functionalization,shell structure and thickness,and doping,for improving the gas detection performance of In_(2)O_(3)-based chemiresistive gas sensors.The significant influence of the nanostructures with different morphologies on the gas-sensing performance of In_(2)O_(3)-based sensors is also demonstrated.Pristine In_(2)O_(3)nanomaterials with zero-dimensional(0D)to three-dimensional(3D)morphologies are reviewed.Different composites of In_(2)O_(3),including In_(2)O_(3)/metal oxides(p-type and n-type),In_(2)O_(3)/noble metal loading and encapsulation,In_(2)O_(3)/elemental doping,In_(2)O_(3)/conducting polymers,and In_(2)O_(3)/carbonaceous materials,were evaluated to improve their sensing performances.Finally,a future outlook on the further progress of the In_(2)O_(3)gas sensors is suggested.
基金supported by the National Natural Science Foundation of China(No.21971100 and 21771097)Project of Central Plains Science and Technology Innovation Leading Talents of Henan Province(No.204200510001)+2 种基金Project for Science&Technology Innovation Talents in Universities of Henan Province(No.21HASTIT006)Henan Province Nature Science Foundation(No.182300410237)Key Scientific Research Projects of Higher Education of Henan Province(No.20A150005).
文摘Molecule-based crystalline materials with long-lived room temperature phosphorescence have been paid tremendous attention due to their promising properties for the critical requirements of applications in anti-counterfeiting,organic light-emitting diodes,displays,and biochemistry.It is illustrated that the room temperature phosphorescence properties of molecular phosphors can be highly enhanced based on the formation of a rigid environment.In this review,the important role of several rigid organic-inorganic hybrid hosts such as metal-organic frameworks (MOFs),organic-inorganic hybrid perovskites,and layered double hydroxides is highlighted.The fundamental mechanism,design principles,and enhancement strategies to achieve high performance phosphorescent emission have also been discussed.Finally,we briefly discuss perspectives on the further development of these organic-inorganic hybrid systems.
