This article explores the design of a wireless fire alarm system supported by advanced data fusion technology.It includes discussions on the basic design ideas of the wireless fire alarm system,hardware design analysi...This article explores the design of a wireless fire alarm system supported by advanced data fusion technology.It includes discussions on the basic design ideas of the wireless fire alarm system,hardware design analysis,software design analysis,and simulation analysis,all supported by data fusion technology.Hopefully,this analysis can provide some reference for the rational application of data fusion technology to meet the actual design and application requirements of the system.展开更多
This article focuses on the current computer monitoring and control as the research direction,studying the application strategies of artificial intelligence and big data technology in this field.It includes an introdu...This article focuses on the current computer monitoring and control as the research direction,studying the application strategies of artificial intelligence and big data technology in this field.It includes an introduction to artificial intelligence and big data technology,the application strategies of artificial intelligence and big data technology in computer hardware,software,and network monitoring,as well as the application strategies of artificial intelligence and big data technology in computer process,access,and network control.This analysis aims to serve as a reference for the application of artificial intelligence and big data technology in computer monitoring and control,ultimately enhancing the security of computer systems.展开更多
In the era of big data,data has gradually become an important asset of enterprises,and the application of big data technology has gradually become the key to the optimization of enterprise marketing management mode.En...In the era of big data,data has gradually become an important asset of enterprises,and the application of big data technology has gradually become the key to the optimization of enterprise marketing management mode.Enterprises take the initiative to meet the development trend of the times,rely on big data technology to effectively process and analyze data,innovate decision-making methods and operation models,and achieve efficient marketing and fine management,which is an important way to improve their market competitiveness.Therefore,the author first analyzes the empowering role of big data technology on enterprise marketing management,and then discusses the difficulties faced by enterprise marketing management in the era of big data,and finally puts forward targeted improvement strategies,aiming to provide a reference for enterprises to innovate and change the marketing management mode.展开更多
With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis o...With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.展开更多
Computer science and technology play an important role in people’s lives and work,especially in the era of big data.The application of computer science and technology is conducive to improving people’s production an...Computer science and technology play an important role in people’s lives and work,especially in the era of big data.The application of computer science and technology is conducive to improving people’s production and living standards and provides a strong impetus for China’s social and economic development.Therefore,this paper analyzes the application of computer science and technology in the context of big data and puts forward new trends and requirements for its future development,aiming to provide some references for the computer science and technology industry.展开更多
With the advancement of the rural revitalization strategy,preventing poverty recurrence among previously impoverished populations has become a crucial social concern.The application of big data technology in poverty r...With the advancement of the rural revitalization strategy,preventing poverty recurrence among previously impoverished populations has become a crucial social concern.The application of big data technology in poverty recurrence monitoring and agricultural product sales systems can effectively enhance precise identification and early warning capabilities,promoting the sustainable development of rural economies.This paper explores the application of big data technology in poverty recurrence monitoring,analyzes its innovative integration with agricultural product sales systems,and proposes an intelligent monitoring and sales platform model based on big data,aiming to provide a reference for relevant policy formulation.展开更多
This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technol...This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technology,focusing on analyzing the current application status of computer science and technology in big data,including data storage,data processing,and data analysis.Then,it proposes development strategies for big data processing.Computer science and technology play a vital role in big data processing by providing strong technical support.展开更多
With the rapid development of science and technology,the application of intelligent technology in the field of civil engineering is more extensive,especially in the safety evaluation and management of engineering stru...With the rapid development of science and technology,the application of intelligent technology in the field of civil engineering is more extensive,especially in the safety evaluation and management of engineering structures.This paper discusses the role of intelligent technologies(such as artificial intelligence,Internet of Things,BIM,big data analysis,etc.)in the monitoring,evaluation,and maintenance of engineering structure safety.By studying the principle,application scenarios,and advantages of intelligent technology in structural safety evaluation,this paper summarizes how intelligent technology can improve engineering management efficiency and reduce safety risks,and puts forward the trend and challenge of future development.展开更多
The impact of supply chain technological innovation on the development of mature enterprises is multidimensional,encompassing both directly observable improvements in efficiency and competitiveness,as well as potentia...The impact of supply chain technological innovation on the development of mature enterprises is multidimensional,encompassing both directly observable improvements in efficiency and competitiveness,as well as potential strategic transformation challenges and industry landscape reshaping.Using AstraZeneca as a case study,this research systematically analyzes the multidimensional effects and underlying mechanisms of supply chain technological innovation on mature enterprises.By integrating IoT and RFID technologies to achieve end-to-end data collection and real-time monitoring across the supply chain,operational efficiency is enhanced,inventory turnover rates are optimized,and logistics accuracy is improved.The application of Blockchain technology increases supply chain transparency,effectively reducing resource waste caused by information asymmetry.AI-driven risk prediction models help enterprises proactively identify and mitigate operational risks to address market competition.The study demonstrates that supply chain technological innovation drives the transformation of corporate cost structures from"rigid expenditures"to"dynamic optimization,"while upgrading customer experiences through personalized services and omnichannel fulfillment.Furthermore,supply chain innovation evolves from a traditional cost center to a core value creator,propelling enterprises to shift from"passive response"to"proactive leadership"in market transformation.展开更多
Big data finds extensive application and many fields.It brings new opportunities for the development of agriculture.Using big data technology to promote the development of smart agriculture can greatly improve the eff...Big data finds extensive application and many fields.It brings new opportunities for the development of agriculture.Using big data technology to promote the development of smart agriculture can greatly improve the effect of agricultural planting,reduce the input of manpower and material resources,and lay a solid foundation for the realization of agricultural modernization.In this regard,this paper briefly analyzes the construction and application of smart agriculture based on big data technology,hoping to provide some valuable insights for readers.展开更多
The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a w...The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a wide range of applications in student learning behavior analysis,teaching resource management,campus safety monitoring,and decision support,which improves the quality of education and management efficiency.Cloud computing technology supports the integration,distribution,and optimal use of educational resources through cloud resource sharing,virtual classrooms,intelligent campus management systems,and Infrastructure-as-a-Service(IaaS)models,which reduce costs and increase flexibility.This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses,showing how these technologies can contribute to the development of smart campuses,and laying the foundation for the future innovation of education models.展开更多
Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and u...Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and usage of crop phenomics technology and equipment has become a bottleneck,limiting the industry’s high-quality development.This paper begins with an overview of the crop phenotyping indus-try and presents an industrial mapping of technology and equipment for big data in crop phenomics.It analyzes the necessity and current state of constructing a standard framework for crop phenotyping.Furthermore,this paper proposes the intended organizational structure and goals of the standard frame-work.It details the essentials of the standard framework in the research and development of hardware and equipment,data acquisition,and the storage and management of crop phenotyping data.Finally,it discusses promoting the construction and evaluation of the standard framework,aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.展开更多
As China strives towards the second centenary goal,increasing attention is being paid to environmental pollution and other related issues.Concurrently,with the rapid development of big data technology,many big data so...As China strives towards the second centenary goal,increasing attention is being paid to environmental pollution and other related issues.Concurrently,with the rapid development of big data technology,many big data solutions have been applied to environmental pollution control audits,exerting a significant impact.This paper presents the current situation of environmental pollution audits,summarizing the application of big data from the perspectives of both domestic and international research.In terms of data collection and data analysis for environmental pollution audits,cloud platform technology,and visualization technology are selected based on multiple data sources.The impact in the field of environmental pollution control audits is further analyzed.It is found that the environmental pollution audit cloud platform is not yet perfect,the technical skills of audit personnel are insufficient,and some technologies are not mature.Relevant suggestions are put forward to provide a reference for the future development of big data technology and its integration with environmental pollution control audits.展开更多
With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-...With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-depth,and the construction of smart hospitals and smart wards has received more and more attention and application.This article conducts in-depth research and analysis on the application and exploration of big data technology in smart wards and explores the role of big data technology in improving the quality,efficiency,and cost of medical services in smart wards,as well as the application prospects and challenges of big data technology in patient monitoring,disease prevention,and diagnosis and treatment processes in smart wards.The focus is on analyzing and studying the use of big data technology to assist in the construction of smart neonatal surgery wards.This article aims to provide useful references and lessons for the construction and development of smart wards.展开更多
With the development of Internet of things, cloud computing, mobile Inter- net, the scale of the data shows an alarming growth trend. Agricultural information is an important part of modern agricultural construction, ...With the development of Internet of things, cloud computing, mobile Inter- net, the scale of the data shows an alarming growth trend. Agricultural information is an important part of modern agricultural construction, and the development of a- gricultural industry is becoming more and more deeply with the application of infor- mation technology. This paper reviewed the concept and characteristic of big data, development history of big data at home and abroad, and emphatically expounded the connotation of agricultural big data, development status of agricultural big data at home and abroad, as well as the applications of agricultural big data technology, agriculture big data resources and agricultural big data in various fields.展开更多
With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the...With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.展开更多
In a time characterized by the availability of vast amounts of data,the effective utilization of information is critical for timely decision-making in military operations.However,processing large amounts of data requi...In a time characterized by the availability of vast amounts of data,the effective utilization of information is critical for timely decision-making in military operations.However,processing large amounts of data requires computational resources and time.Therefore,decision makers have used data-centric technologies to take advantage of public and private data sources to support military operations.This survey explores the integration and application of data-centric technologies,such as data analytics,data science,and machine learning,to optimize decision-making workflows within military contexts supporting the deployment of military assets and resources.To address the information gap,this article presents a literature review,specifically a survey.Our survey examines the use of the mentioned technologies to process and analyze information that contributes to the phases of situational awareness,and planning in military environments.We then introduce a taxonomy of the approaches associated with implementing these technologies in military scenarios.Furthermore,we discuss relevant factors for the seamless integration of data-centric technologies into military decision-making processes,and reveal the importance of specialized personnel,architectures,and cybersecurity issues in the task of developing prototypes and models.The findings of this paper aim to provide valuable insights for military institutions,offering a deeper understanding of the use of data-centric technologies as innovative practices to enhance the effectiveness of military decision-making.展开更多
Objectives:Somatosensory Interaction Technology(SIT)is used in various aspects of geriatric care.We aimed to conduct a bibliometric analysis to summarize relevant publications and visualize publication characteristics...Objectives:Somatosensory Interaction Technology(SIT)is used in various aspects of geriatric care.We aimed to conduct a bibliometric analysis to summarize relevant publications and visualize publication characteristics,current hotspots,and development trends,thereby inspiring subsequent researches.Methods:We searched theWeb of Science Core Collection database for publications on the application of SIT in geriatric care.Bibliometric visualization and clustering analysis were performed using VOSviewer V1.6.18 Software,while keywords burst detection analysis was conducted with CiteSpace 6.1.R6 Software.Results:After screening,a total of 1,019 publications were included.The number of publications on SIT in geriatric care is gradually increasing,exhibiting a rapid growth rate.The United States,Canada,and Australia led in terms of publication volume.Keyword clustering analysis identified major research hotspots:crisis warning,somatic abilities,rehabilitation training and psychosocial support.Initial studies primarily explored themes such as recovery,movement,systems,and later shifted towards gait analysis,muscle strength,parameters,and home-based care.More recently,research themes have evolved to dementia,machine learning,and gamification.Conclusions:SIT is innovative for promoting active aging,advancing intelligent healthcare,and elevating the daily quality of life for older adults in clinical and domestic settings.Applications of SIT can be categorized into early warning systems for crises,detailed analyses of physical conditions,rehabilitation enhancement,and support for psychosocial health.Research trends have transitioned from whole-body recognition to precise feedback,from a focus on physical health to mental health,and from technical feasibility to user-friendliness.Future research should focus on developing accessible and user-friendly devices,fostering interdisciplinary collaborations for innovation,expanding research to address both the physical and mental health needs of diverse older adults,and integrating emerging technologies to enhance data precision and accelerate the development of intelligent platforms.展开更多
When castings become complicated and the demands for precision of numerical simulation become higher,the numerical data of casting numerical simulation become more massive.On a general personal computer,these massive ...When castings become complicated and the demands for precision of numerical simulation become higher,the numerical data of casting numerical simulation become more massive.On a general personal computer,these massive numerical data may probably exceed the capacity of available memory,resulting in failure of rendering.Based on the out-of-core technique,this paper proposes a method to effectively utilize external storage and reduce memory usage dramatically,so as to solve the problem of insufficient memory for massive data rendering on general personal computers.Based on this method,a new postprocessor is developed.It is capable to illustrate filling and solidification processes of casting,as well as thermal stess.The new post-processor also provides fast interaction to simulation results.Theoretical analysis as well as several practical examples prove that the memory usage and loading time of the post-processor are independent of the size of the relevant files,but the proportion of the number of cells on surface.Meanwhile,the speed of rendering and fetching of value from the mouse is appreciable,and the demands of real-time and interaction are satisfied.展开更多
An 8×10 GHz receiver optical sub-assembly （ROSA） consisting of an 8-channel arrayed waveguide grating （AWG） and an 8-channel PIN photodetector （PD） array is designed and fabricated based on silica hybrid in...An 8×10 GHz receiver optical sub-assembly （ROSA） consisting of an 8-channel arrayed waveguide grating （AWG） and an 8-channel PIN photodetector （PD） array is designed and fabricated based on silica hybrid integration technology. Multimode output waveguides in the silica AWG with 2% refractive index difference are used to obtain fiat-top spectra. The output waveguide facet is polished to 45° bevel to change the light propagation direction into the mesa-type PIN PD, which simplifies the packaging process. The experimentM results show that the single channel I dB bandwidth of AWG ranges from 2.12nm to 3.06nm, the ROSA responsivity ranges from 0.097 A/W to 0.158A/W, and the 3dB bandwidth is up to 11 GHz. It is promising to be applied in the eight-lane WDM transmission system in data center interconnection.展开更多
基金Chongqing Engineering University Undergraduate Innovation and Entrepreneurship Training Program Project:Wireless Fire Automatic Alarm System(Project No.:CXCY2024017)Chongqing Municipal Education Commission Science and Technology Research Project:Development and Research of Chongqing Wireless Fire Automatic Alarm System(Project No.:KJQN202401906)。
文摘This article explores the design of a wireless fire alarm system supported by advanced data fusion technology.It includes discussions on the basic design ideas of the wireless fire alarm system,hardware design analysis,software design analysis,and simulation analysis,all supported by data fusion technology.Hopefully,this analysis can provide some reference for the rational application of data fusion technology to meet the actual design and application requirements of the system.
文摘This article focuses on the current computer monitoring and control as the research direction,studying the application strategies of artificial intelligence and big data technology in this field.It includes an introduction to artificial intelligence and big data technology,the application strategies of artificial intelligence and big data technology in computer hardware,software,and network monitoring,as well as the application strategies of artificial intelligence and big data technology in computer process,access,and network control.This analysis aims to serve as a reference for the application of artificial intelligence and big data technology in computer monitoring and control,ultimately enhancing the security of computer systems.
文摘In the era of big data,data has gradually become an important asset of enterprises,and the application of big data technology has gradually become the key to the optimization of enterprise marketing management mode.Enterprises take the initiative to meet the development trend of the times,rely on big data technology to effectively process and analyze data,innovate decision-making methods and operation models,and achieve efficient marketing and fine management,which is an important way to improve their market competitiveness.Therefore,the author first analyzes the empowering role of big data technology on enterprise marketing management,and then discusses the difficulties faced by enterprise marketing management in the era of big data,and finally puts forward targeted improvement strategies,aiming to provide a reference for enterprises to innovate and change the marketing management mode.
文摘With the rapid development of the Internet and e-commerce,e-commerce platforms have accumulated huge amounts of user behavior data.The emergence of big data technology provides a powerful means for in-depth analysis of these data and insight into user behavior patterns and preferences.This paper elaborates on the application of big data technology in the analysis of user behavior on e-commerce platforms,including the technical methods of data collection,storage,processing and analysis,as well as the specific applications in the construction of user profiles,precision marketing,personalized recommendation,user retention and churn analysis,etc.,and discusses the challenges and countermeasures faced in the application.Through the study of actual cases,it demonstrates the remarkable effectiveness of big data technology in enhancing the competitiveness of e-commerce platforms and user experience.
文摘Computer science and technology play an important role in people’s lives and work,especially in the era of big data.The application of computer science and technology is conducive to improving people’s production and living standards and provides a strong impetus for China’s social and economic development.Therefore,this paper analyzes the application of computer science and technology in the context of big data and puts forward new trends and requirements for its future development,aiming to provide some references for the computer science and technology industry.
基金2025 College Students’Innovation Training Program“Return to Poverty Monitoring and Agricultural Products Sales System”2024 College Students’Innovation Training Program“Promoting Straw Recycling to Accelerate the Sustainable Development of Agriculture”(202413207010)。
文摘With the advancement of the rural revitalization strategy,preventing poverty recurrence among previously impoverished populations has become a crucial social concern.The application of big data technology in poverty recurrence monitoring and agricultural product sales systems can effectively enhance precise identification and early warning capabilities,promoting the sustainable development of rural economies.This paper explores the application of big data technology in poverty recurrence monitoring,analyzes its innovative integration with agricultural product sales systems,and proposes an intelligent monitoring and sales platform model based on big data,aiming to provide a reference for relevant policy formulation.
文摘This article discusses the current status and development strategies of computer science and technology in the context of big data.Firstly,it explains the relationship between big data and computer science and technology,focusing on analyzing the current application status of computer science and technology in big data,including data storage,data processing,and data analysis.Then,it proposes development strategies for big data processing.Computer science and technology play a vital role in big data processing by providing strong technical support.
文摘With the rapid development of science and technology,the application of intelligent technology in the field of civil engineering is more extensive,especially in the safety evaluation and management of engineering structures.This paper discusses the role of intelligent technologies(such as artificial intelligence,Internet of Things,BIM,big data analysis,etc.)in the monitoring,evaluation,and maintenance of engineering structure safety.By studying the principle,application scenarios,and advantages of intelligent technology in structural safety evaluation,this paper summarizes how intelligent technology can improve engineering management efficiency and reduce safety risks,and puts forward the trend and challenge of future development.
文摘The impact of supply chain technological innovation on the development of mature enterprises is multidimensional,encompassing both directly observable improvements in efficiency and competitiveness,as well as potential strategic transformation challenges and industry landscape reshaping.Using AstraZeneca as a case study,this research systematically analyzes the multidimensional effects and underlying mechanisms of supply chain technological innovation on mature enterprises.By integrating IoT and RFID technologies to achieve end-to-end data collection and real-time monitoring across the supply chain,operational efficiency is enhanced,inventory turnover rates are optimized,and logistics accuracy is improved.The application of Blockchain technology increases supply chain transparency,effectively reducing resource waste caused by information asymmetry.AI-driven risk prediction models help enterprises proactively identify and mitigate operational risks to address market competition.The study demonstrates that supply chain technological innovation drives the transformation of corporate cost structures from"rigid expenditures"to"dynamic optimization,"while upgrading customer experiences through personalized services and omnichannel fulfillment.Furthermore,supply chain innovation evolves from a traditional cost center to a core value creator,propelling enterprises to shift from"passive response"to"proactive leadership"in market transformation.
基金Basic Scientific Research Project of universities in 2023:Application of Big Data Technology in Smart Agriculture of Liaoning Region in 2023(Project number:JYTMS20230966)。
文摘Big data finds extensive application and many fields.It brings new opportunities for the development of agriculture.Using big data technology to promote the development of smart agriculture can greatly improve the effect of agricultural planting,reduce the input of manpower and material resources,and lay a solid foundation for the realization of agricultural modernization.In this regard,this paper briefly analyzes the construction and application of smart agriculture based on big data technology,hoping to provide some valuable insights for readers.
文摘The current education field is experiencing an innovation driven by big data and cloud technologies,and these advanced technologies play a central role in the construction of smart campuses.Big data technology has a wide range of applications in student learning behavior analysis,teaching resource management,campus safety monitoring,and decision support,which improves the quality of education and management efficiency.Cloud computing technology supports the integration,distribution,and optimal use of educational resources through cloud resource sharing,virtual classrooms,intelligent campus management systems,and Infrastructure-as-a-Service(IaaS)models,which reduce costs and increase flexibility.This paper comprehensively discusses the practical application of big data and cloud computing technologies in smart campuses,showing how these technologies can contribute to the development of smart campuses,and laying the foundation for the future innovation of education models.
基金supported by the National Key R&D Program of China(2022YFD2002300)the Construction of Collaborative Innovation Center of Beijing Academy of Agricultural and Forestry Sciences(KJCX20240406)+1 种基金the National Natural Science Foundation of China(32071891)the earmarked fund(CARS-02 and CARS-054).
文摘Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and usage of crop phenomics technology and equipment has become a bottleneck,limiting the industry’s high-quality development.This paper begins with an overview of the crop phenotyping indus-try and presents an industrial mapping of technology and equipment for big data in crop phenomics.It analyzes the necessity and current state of constructing a standard framework for crop phenotyping.Furthermore,this paper proposes the intended organizational structure and goals of the standard frame-work.It details the essentials of the standard framework in the research and development of hardware and equipment,data acquisition,and the storage and management of crop phenotyping data.Finally,it discusses promoting the construction and evaluation of the standard framework,aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.
文摘As China strives towards the second centenary goal,increasing attention is being paid to environmental pollution and other related issues.Concurrently,with the rapid development of big data technology,many big data solutions have been applied to environmental pollution control audits,exerting a significant impact.This paper presents the current situation of environmental pollution audits,summarizing the application of big data from the perspectives of both domestic and international research.In terms of data collection and data analysis for environmental pollution audits,cloud platform technology,and visualization technology are selected based on multiple data sources.The impact in the field of environmental pollution control audits is further analyzed.It is found that the environmental pollution audit cloud platform is not yet perfect,the technical skills of audit personnel are insufficient,and some technologies are not mature.Relevant suggestions are put forward to provide a reference for the future development of big data technology and its integration with environmental pollution control audits.
文摘With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-depth,and the construction of smart hospitals and smart wards has received more and more attention and application.This article conducts in-depth research and analysis on the application and exploration of big data technology in smart wards and explores the role of big data technology in improving the quality,efficiency,and cost of medical services in smart wards,as well as the application prospects and challenges of big data technology in patient monitoring,disease prevention,and diagnosis and treatment processes in smart wards.The focus is on analyzing and studying the use of big data technology to assist in the construction of smart neonatal surgery wards.This article aims to provide useful references and lessons for the construction and development of smart wards.
文摘With the development of Internet of things, cloud computing, mobile Inter- net, the scale of the data shows an alarming growth trend. Agricultural information is an important part of modern agricultural construction, and the development of a- gricultural industry is becoming more and more deeply with the application of infor- mation technology. This paper reviewed the concept and characteristic of big data, development history of big data at home and abroad, and emphatically expounded the connotation of agricultural big data, development status of agricultural big data at home and abroad, as well as the applications of agricultural big data technology, agriculture big data resources and agricultural big data in various fields.
文摘With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.
文摘In a time characterized by the availability of vast amounts of data,the effective utilization of information is critical for timely decision-making in military operations.However,processing large amounts of data requires computational resources and time.Therefore,decision makers have used data-centric technologies to take advantage of public and private data sources to support military operations.This survey explores the integration and application of data-centric technologies,such as data analytics,data science,and machine learning,to optimize decision-making workflows within military contexts supporting the deployment of military assets and resources.To address the information gap,this article presents a literature review,specifically a survey.Our survey examines the use of the mentioned technologies to process and analyze information that contributes to the phases of situational awareness,and planning in military environments.We then introduce a taxonomy of the approaches associated with implementing these technologies in military scenarios.Furthermore,we discuss relevant factors for the seamless integration of data-centric technologies into military decision-making processes,and reveal the importance of specialized personnel,architectures,and cybersecurity issues in the task of developing prototypes and models.The findings of this paper aim to provide valuable insights for military institutions,offering a deeper understanding of the use of data-centric technologies as innovative practices to enhance the effectiveness of military decision-making.
基金funded by the Chinese Nursing Association(#ZHKYQ202322)the Shanghai Science and Technology Innovation Action Plan Sailing Project(#21YF1447700)the Shanghai Municipal Health Commission(#2024QN026).
文摘Objectives:Somatosensory Interaction Technology(SIT)is used in various aspects of geriatric care.We aimed to conduct a bibliometric analysis to summarize relevant publications and visualize publication characteristics,current hotspots,and development trends,thereby inspiring subsequent researches.Methods:We searched theWeb of Science Core Collection database for publications on the application of SIT in geriatric care.Bibliometric visualization and clustering analysis were performed using VOSviewer V1.6.18 Software,while keywords burst detection analysis was conducted with CiteSpace 6.1.R6 Software.Results:After screening,a total of 1,019 publications were included.The number of publications on SIT in geriatric care is gradually increasing,exhibiting a rapid growth rate.The United States,Canada,and Australia led in terms of publication volume.Keyword clustering analysis identified major research hotspots:crisis warning,somatic abilities,rehabilitation training and psychosocial support.Initial studies primarily explored themes such as recovery,movement,systems,and later shifted towards gait analysis,muscle strength,parameters,and home-based care.More recently,research themes have evolved to dementia,machine learning,and gamification.Conclusions:SIT is innovative for promoting active aging,advancing intelligent healthcare,and elevating the daily quality of life for older adults in clinical and domestic settings.Applications of SIT can be categorized into early warning systems for crises,detailed analyses of physical conditions,rehabilitation enhancement,and support for psychosocial health.Research trends have transitioned from whole-body recognition to precise feedback,from a focus on physical health to mental health,and from technical feasibility to user-friendliness.Future research should focus on developing accessible and user-friendly devices,fostering interdisciplinary collaborations for innovation,expanding research to address both the physical and mental health needs of diverse older adults,and integrating emerging technologies to enhance data precision and accelerate the development of intelligent platforms.
基金supported by the New Century Excellent Talents in University(NCET-09-0396)the National Science&Technology Key Projects of Numerical Control(2012ZX04014-031)+1 种基金the Natural Science Foundation of Hubei Province(2011CDB279)the Foundation for Innovative Research Groups of the Natural Science Foundation of Hubei Province,China(2010CDA067)
文摘When castings become complicated and the demands for precision of numerical simulation become higher,the numerical data of casting numerical simulation become more massive.On a general personal computer,these massive numerical data may probably exceed the capacity of available memory,resulting in failure of rendering.Based on the out-of-core technique,this paper proposes a method to effectively utilize external storage and reduce memory usage dramatically,so as to solve the problem of insufficient memory for massive data rendering on general personal computers.Based on this method,a new postprocessor is developed.It is capable to illustrate filling and solidification processes of casting,as well as thermal stess.The new post-processor also provides fast interaction to simulation results.Theoretical analysis as well as several practical examples prove that the memory usage and loading time of the post-processor are independent of the size of the relevant files,but the proportion of the number of cells on surface.Meanwhile,the speed of rendering and fetching of value from the mouse is appreciable,and the demands of real-time and interaction are satisfied.
基金Supported by the National High Technology Research and Development Program of China under Grant No 2015AA016902the National Natural Science Foundation of China under Grant Nos 61435013 and 61405188the K.C.Wong Education Foundation
文摘An 8×10 GHz receiver optical sub-assembly （ROSA） consisting of an 8-channel arrayed waveguide grating （AWG） and an 8-channel PIN photodetector （PD） array is designed and fabricated based on silica hybrid integration technology. Multimode output waveguides in the silica AWG with 2% refractive index difference are used to obtain fiat-top spectra. The output waveguide facet is polished to 45° bevel to change the light propagation direction into the mesa-type PIN PD, which simplifies the packaging process. The experimentM results show that the single channel I dB bandwidth of AWG ranges from 2.12nm to 3.06nm, the ROSA responsivity ranges from 0.097 A/W to 0.158A/W, and the 3dB bandwidth is up to 11 GHz. It is promising to be applied in the eight-lane WDM transmission system in data center interconnection.
