To solve the problem of multi-platform collaborative use in anti-ship missile (ASM) path planning, this paper pro-posed multi-operator real-time constraints particle swarm opti-mization (MRC-PSO) algorithm. MRC-PSO al...To solve the problem of multi-platform collaborative use in anti-ship missile (ASM) path planning, this paper pro-posed multi-operator real-time constraints particle swarm opti-mization (MRC-PSO) algorithm. MRC-PSO algorithm utilizes a semi-rasterization environment modeling technique and inte-grates the geometric gradient law of ASMs which distinguishes itself from other collaborative path planning algorithms by fully considering the coupling between collaborative paths. Then, MRC-PSO algorithm conducts chunked stepwise recursive evo-lution of particles while incorporating circumvent, coordination, and smoothing operators which facilitates local selection opti-mization of paths, gradually reducing algorithmic space, accele-rating convergence, and enhances path cooperativity. Simula-tion experiments comparing the MRC-PSO algorithm with the PSO algorithm, genetic algorithm and operational area cluster real-time restriction (OACRR)-PSO algorithm, which demon-strate that the MRC-PSO algorithm has a faster convergence speed, and the average number of iterations is reduced by approximately 75%. It also proves that it is equally effective in resolving complex scenarios involving multiple obstacles. More-over it effectively addresses the problem of path crossing and can better satisfy the requirements of multi-platform collabora-tive path planning. The experiments are conducted in three col-laborative operation modes, namely, three-to-two, three-to-three, and four-to-two, and the outcomes demonstrate that the algorithm possesses strong universality.展开更多
The cooperative localization(CL)is affected by the communication topology among the platforms.Based on the unscented Kalman filtering,the distributed CL(DCL)oriented to the unpredicted communication topology is invest...The cooperative localization(CL)is affected by the communication topology among the platforms.Based on the unscented Kalman filtering,the distributed CL(DCL)oriented to the unpredicted communication topology is investigated.To improve the adaptability,the character of the look-up Cholesky decomposition is exploited for the covariance matrix decomposing.Then,the distributed U transformation can be dynamically implemented according to the available communication topology.In the proposed algorithm,the global information is not required for the individual,and only the available information from the neighbor is used.Each platform’s state can be estimated independently.The error covariance of the state estimates can be updated in the single platform.The algorithm is adaptive to any serial communication topologies where the measuring to the measured platform is a starting path.The applicability of the proposed algorithm to unpredicted communication topology is improved,remaining equivalent localization performance to free connection communication.展开更多
With the continuous development of networking technology, sensor networks have been widely used and has become an important field of information technology infrastructure, especially the real-time sensor networks prov...With the continuous development of networking technology, sensor networks have been widely used and has become an important field of information technology infrastructure, especially the real-time sensor networks provide the perceptual information for many intelligent applications provides sufficient information to support decision-making and the necessary basis. However, due to the intelligent application-aware, real-time information demands often cannot be converted to simple queries and query interface to sensor substrate exact match, With the development of technology, people’s expectations of the home and the definition of the family conferred no longer adhere to the traditional way of life, smart home has become a hot spot in recent years, the direction of research in the field of information technology. Embodied herein Things smart home design is based on FPGA technology, capable of real-time collection of the temperature, humidity and light intensity and other information, to achieve environmental control systems, intelligent fish gardening systems, intelligent catering systems, multimedia control systems and security alarm systems function, provide users with the new smart home networking experience.展开更多
In order to provide power quality monitoring activities with metrological certification, a DAS （data acquisition system） has been designed, realized and characterized. The system allows acquisition on tri-phases plu...In order to provide power quality monitoring activities with metrological certification, a DAS （data acquisition system） has been designed, realized and characterized. The system allows acquisition on tri-phases plus neutral lines picking up 499 samples per period of the fundamental at 50 Hz. To ensure certified measurements, the system gets external certified time and voltage references. The system uses a FTDI Virtual Com Port Driver to communicate data over High Speed RS232 virtual interface and it does not need any advanced programming skill. The choice to use a virtual serial communication makes the data acquisition software portable over many platforms, regardless by the development environment and by the programming language. To test the proposed device some custom software have been written in many programming language （C^#, VB6, LabView, MatLab）, moreover in order to characterize the device the most common ADC （analog to digital converter） performing test have been applied.展开更多
Purpose-This study aims to investigate the differences in consumer reviews across multiple e-commerce platforms to better assist consumers in making informed decisions.By examining the specific content of these differ...Purpose-This study aims to investigate the differences in consumer reviews across multiple e-commerce platforms to better assist consumers in making informed decisions.By examining the specific content of these differentiated reviews,the study seeks to provide insights that can enhance e-commerce services and improve consumer satisfaction.Design/methodology/approach-The research utilizes the latent Dirichlet allocation(LDA)method for text analysis to identify the varying concerns of consumers across different e-commerce platforms for the same product.Additionally,the study expands the sentiment dictionary to address polysemy issues,allowing for a more precise capture of sentiment differences among consumers.A non-parametric test is employed to compare reviews across multiple platforms,providing a comprehensive analysis of review disparities.Findings-The findings reveal that consumer concerns and sentiments vary significantly across different e-commerce platforms,even for the same product.The combination of text analysis and non-parametric testing highlights the objectivity of the research,offering valuable evidence and recommendations for improving e-commerce services and enhancing the shopping experience.Originality/value-This study is original in its approach to combining text analysis with non-parametric testing to examine multi-platform review differences.The research not only contributes to the understanding of consumer behavior in the context of e-commerce but also provides practical suggestions for platforms and consumers,aiming to optimize service quality and consumer satisfaction.展开更多
Estimating horizontal winds in and around typhoons is important for improved monitoring and prediction of typhoons and mitigating their damages.Here,we present a new algorithm for estimating typhoon winds using multip...Estimating horizontal winds in and around typhoons is important for improved monitoring and prediction of typhoons and mitigating their damages.Here,we present a new algorithm for estimating typhoon winds using multiple satellite observations and its application to Typhoon Soulik(2018).Four kinds of satellite remote sensing data,along with their relationship to typhoon intensity,derived statistically from hundreds of historical typhoon cases,were merged into the final product of typhoon wind(MT wind):(1)geostationarysatellite-based infrared images(IR wind),(2)passive microwave sounder(MW wind),(3)feature-tracked atmospheric motion vectors,and (4)scatterometer-based sea surface winds(SSWs).The algorithm was applied to two cases(A and B)of Typhoon Soulik and validated against SSWs independently retrieved from active microwave synthetic aperture radar(SAR)and microwave radiometer(AMSR2)images,and vertical profiles of wind speed derived from reanalyzed data and dropsonde observations.For Case A(open ocean),the algorithm estimated the realistic maximum wind,radius of maximum wind,and radius of 15 m/s,which could not be estimated using the reanalysis data,demonstrating reasonable and practical estimates.However,for Case B(when the typhoon rapidly weakened just before making landfall in the Korean Peninsula),the algorithm significantly overestimated the parameters,primarily due to the overestimation of typhoon intensity.Our study highlights that realistic typhoon winds can be monitored continuously in real-time using multiple satellite observations,particularly when typhoon intensity is reasonably well predicted,providing timely analysis results and products of operational importance.展开更多
基金supported by Hunan Provincial Natural Science Foundation(2024JJ5173,2023JJ50047)Hunan Provincial Department of Education Scientific Research Project(23A0494)Hunan Provincial Innovation Foundation for Postgraduate(CX20231221).
文摘To solve the problem of multi-platform collaborative use in anti-ship missile (ASM) path planning, this paper pro-posed multi-operator real-time constraints particle swarm opti-mization (MRC-PSO) algorithm. MRC-PSO algorithm utilizes a semi-rasterization environment modeling technique and inte-grates the geometric gradient law of ASMs which distinguishes itself from other collaborative path planning algorithms by fully considering the coupling between collaborative paths. Then, MRC-PSO algorithm conducts chunked stepwise recursive evo-lution of particles while incorporating circumvent, coordination, and smoothing operators which facilitates local selection opti-mization of paths, gradually reducing algorithmic space, accele-rating convergence, and enhances path cooperativity. Simula-tion experiments comparing the MRC-PSO algorithm with the PSO algorithm, genetic algorithm and operational area cluster real-time restriction (OACRR)-PSO algorithm, which demon-strate that the MRC-PSO algorithm has a faster convergence speed, and the average number of iterations is reduced by approximately 75%. It also proves that it is equally effective in resolving complex scenarios involving multiple obstacles. More-over it effectively addresses the problem of path crossing and can better satisfy the requirements of multi-platform collabora-tive path planning. The experiments are conducted in three col-laborative operation modes, namely, three-to-two, three-to-three, and four-to-two, and the outcomes demonstrate that the algorithm possesses strong universality.
文摘The cooperative localization(CL)is affected by the communication topology among the platforms.Based on the unscented Kalman filtering,the distributed CL(DCL)oriented to the unpredicted communication topology is investigated.To improve the adaptability,the character of the look-up Cholesky decomposition is exploited for the covariance matrix decomposing.Then,the distributed U transformation can be dynamically implemented according to the available communication topology.In the proposed algorithm,the global information is not required for the individual,and only the available information from the neighbor is used.Each platform’s state can be estimated independently.The error covariance of the state estimates can be updated in the single platform.The algorithm is adaptive to any serial communication topologies where the measuring to the measured platform is a starting path.The applicability of the proposed algorithm to unpredicted communication topology is improved,remaining equivalent localization performance to free connection communication.
文摘With the continuous development of networking technology, sensor networks have been widely used and has become an important field of information technology infrastructure, especially the real-time sensor networks provide the perceptual information for many intelligent applications provides sufficient information to support decision-making and the necessary basis. However, due to the intelligent application-aware, real-time information demands often cannot be converted to simple queries and query interface to sensor substrate exact match, With the development of technology, people’s expectations of the home and the definition of the family conferred no longer adhere to the traditional way of life, smart home has become a hot spot in recent years, the direction of research in the field of information technology. Embodied herein Things smart home design is based on FPGA technology, capable of real-time collection of the temperature, humidity and light intensity and other information, to achieve environmental control systems, intelligent fish gardening systems, intelligent catering systems, multimedia control systems and security alarm systems function, provide users with the new smart home networking experience.
文摘In order to provide power quality monitoring activities with metrological certification, a DAS （data acquisition system） has been designed, realized and characterized. The system allows acquisition on tri-phases plus neutral lines picking up 499 samples per period of the fundamental at 50 Hz. To ensure certified measurements, the system gets external certified time and voltage references. The system uses a FTDI Virtual Com Port Driver to communicate data over High Speed RS232 virtual interface and it does not need any advanced programming skill. The choice to use a virtual serial communication makes the data acquisition software portable over many platforms, regardless by the development environment and by the programming language. To test the proposed device some custom software have been written in many programming language （C^#, VB6, LabView, MatLab）, moreover in order to characterize the device the most common ADC （analog to digital converter） performing test have been applied.
基金supported by the General Project of Philosophy and Social Science Research in Jiangsu Universities[Nos.2022SJYB0185]National Natural Science Foundation of China[Nos.72201134]the Natural Science Foundation of Jiangsu Province[Nos.BK20210632]。
文摘Purpose-This study aims to investigate the differences in consumer reviews across multiple e-commerce platforms to better assist consumers in making informed decisions.By examining the specific content of these differentiated reviews,the study seeks to provide insights that can enhance e-commerce services and improve consumer satisfaction.Design/methodology/approach-The research utilizes the latent Dirichlet allocation(LDA)method for text analysis to identify the varying concerns of consumers across different e-commerce platforms for the same product.Additionally,the study expands the sentiment dictionary to address polysemy issues,allowing for a more precise capture of sentiment differences among consumers.A non-parametric test is employed to compare reviews across multiple platforms,providing a comprehensive analysis of review disparities.Findings-The findings reveal that consumer concerns and sentiments vary significantly across different e-commerce platforms,even for the same product.The combination of text analysis and non-parametric testing highlights the objectivity of the research,offering valuable evidence and recommendations for improving e-commerce services and enhancing the shopping experience.Originality/value-This study is original in its approach to combining text analysis with non-parametric testing to examine multi-platform review differences.The research not only contributes to the understanding of consumer behavior in the context of e-commerce but also provides practical suggestions for platforms and consumers,aiming to optimize service quality and consumer satisfaction.
基金supported by the‘Development of Typhoon and Ocean Applications’project,funded by ETRI,which is a subproject of the‘Development of Geostationary Meteorological Satellite Ground Segment(NMSC-2019-01)’program funded by NMSC of KMAThis research was a part of the project titled“Construction of Ocean Research Station and their Application Studies”funded by the Ministry of Oceans and Fisheries in republic of Korea.
文摘Estimating horizontal winds in and around typhoons is important for improved monitoring and prediction of typhoons and mitigating their damages.Here,we present a new algorithm for estimating typhoon winds using multiple satellite observations and its application to Typhoon Soulik(2018).Four kinds of satellite remote sensing data,along with their relationship to typhoon intensity,derived statistically from hundreds of historical typhoon cases,were merged into the final product of typhoon wind(MT wind):(1)geostationarysatellite-based infrared images(IR wind),(2)passive microwave sounder(MW wind),(3)feature-tracked atmospheric motion vectors,and (4)scatterometer-based sea surface winds(SSWs).The algorithm was applied to two cases(A and B)of Typhoon Soulik and validated against SSWs independently retrieved from active microwave synthetic aperture radar(SAR)and microwave radiometer(AMSR2)images,and vertical profiles of wind speed derived from reanalyzed data and dropsonde observations.For Case A(open ocean),the algorithm estimated the realistic maximum wind,radius of maximum wind,and radius of 15 m/s,which could not be estimated using the reanalysis data,demonstrating reasonable and practical estimates.However,for Case B(when the typhoon rapidly weakened just before making landfall in the Korean Peninsula),the algorithm significantly overestimated the parameters,primarily due to the overestimation of typhoon intensity.Our study highlights that realistic typhoon winds can be monitored continuously in real-time using multiple satellite observations,particularly when typhoon intensity is reasonably well predicted,providing timely analysis results and products of operational importance.
