This study analyzes the evolution of China's green technology innovation cooperation network from 2011 to 2020,utilizing green patent application data.Employing a Spatial Durbin Model(SDM),we scrutinized the netwo...This study analyzes the evolution of China's green technology innovation cooperation network from 2011 to 2020,utilizing green patent application data.Employing a Spatial Durbin Model(SDM),we scrutinized the network's influence on urban carbon emissions,utilizing panel data encompassing 323 city nodes.Results show network expansion and a shift in central nodes from eastern coastal areas to interior cities,with Beijing,Shenzhen,Nanjing,and Shanghai consistently acting as key innovation hubs.A core-periphery structure emerged,clustering cities into high-and low-cooperation clusters.Core cities,particularly Beijing,which gain informational advantages by bridging non-overlapping nodes and exhibit distinct characteristics in terms of the structural hole indexes,reflecting their multifaceted roles within the network.SDM analysis indicates that the green technology innovation cooperation network has a significant positive impact on urban carbon reduction efforts.Specifically,degree centrality,closeness centrality,effective size,efficiency,and hierarchy of node cities exhibit a negative correlation with carbon emissions,suggesting that higher centrality and efficiency within the network correlate with lower emissions.Conversely,betweenness centrality and constraint have a positive impact on emissions,indicating that cities that act as bridges in the network may paradoxically contribute to higher emissions.Moreover,the network's influence on carbon emissions is nuanced across different green technology sectors.Cooperation in areas such as waste management,alternative energy production,energy conservation,agriculture and forestry,and transportation is found to have a more substantial impact on carbon reduction than cooperation in nuclear power,and administrative,regulatory,and design fields.展开更多
In an era of intelligent coordination and integration across the domains of air,space,land,and sea,the electromagnetic spectrum becomes the core carrier for information exchange.Precise control and efficient utilizati...In an era of intelligent coordination and integration across the domains of air,space,land,and sea,the electromagnetic spectrum becomes the core carrier for information exchange.Precise control and efficient utilization of the electromagnetic spectrum is the key for overcoming bottlenecks in multi-domain coordination.From real-time situation awareness,to seamless flow of all-domain information,to efficient interconnection of massive terminals,complex scenarios present unprecedented challenges to the timeliness,reliability,and anti-interference of information exchange.展开更多
Objective To study the characteristics and influencing factors of the transnational innovation cooperation network of digital technology in the pharmaceutical industry and to promote the construction of a new pattern ...Objective To study the characteristics and influencing factors of the transnational innovation cooperation network of digital technology in the pharmaceutical industry and to promote the construction of a new pattern of global digital pharmaceutical innovation cooperation.Methods An international cooperative innovation network was constructed based on the digital patents of the pharmaceutical industry jointly invented by 79 countries from 2009 to 2020.The overall structural characteristics,status evolution characteristics,spatial evolution characteristics,and influencing factors of the transnational cooperation network of digital technology in the pharmaceutical industry were analyzed using the social network analysis method and the time-exponential random graph model(TERGM).Results and Conclusion The main body of the digital technology transnational cooperation network in the pharmaceutical industry presents diverse forms and has the characteristics of a“small world”.Innovation entities have formed stable cooperative relations,but cooperation needs strengthening.The United States and Germany are strong cooperative countries,while some developing countries such as China,India,and Russia have been weak cooperative countries for a long time.The cooperation network is greatly affected by external environmental factors,showing a three-pronged pattern of Europe,Asia,and North America.The cooperation network tends to form triples and has strong polarization characteristics,which is driven by per capita,national income,population size,technological proximity,and geographical distance.展开更多
The convergence of optical and wireless technologies is driving the evolution of intelligent indoor networks,with Fiber-to-the-Room(FTTR)emerging as a key ar⁃chitecture for delivering gigabit connectivity in both home...The convergence of optical and wireless technologies is driving the evolution of intelligent indoor networks,with Fiber-to-the-Room(FTTR)emerging as a key ar⁃chitecture for delivering gigabit connectivity in both home and enterprise environments.By deploying optical fiber directly to rooms and integrating it with advanced wireless so⁃lutions such as millimeter-wave and Wi-Fi 7,FTTR enables next-generation applications,including immersive Virtual Re⁃ality(VR)/Augmented Reality(AR)and industrial Internet of Things(IoT).Nevertheless,its large-scale deployment pres⁃ents challenges in network management,energy efficiency,in⁃terference mitigation,and intelligent root cause analysis.展开更多
Purpose:This study aims to analyze the key technologies in Industry–University–Research(IUR)cooperation within higher education institutions,deepen the understanding of the mechanisms of IUR cooperation and the proc...Purpose:This study aims to analyze the key technologies in Industry–University–Research(IUR)cooperation within higher education institutions,deepen the understanding of the mechanisms of IUR cooperation and the process of technological innovation,and reveal the dynamic evolution patterns and driving mechanisms of key technologies in IUR cooperation alliance networks at different stages.It also provides clear directions and strategic recommendations for cooperation among universities,enterprises,and research institutions.Methodology:This study uses patents applied for through IUR cooperation by Chinese Double First-Class universities from 2015 to 2024 as the data basis and employs the Louvain algorithm to divide IUR cooperation applicants.Subsequently,a Technology–Applicant network is constructed at two-year intervals,and key technologies are extracted using network information entropy.The evolution paths of technological characteristics are then thoroughly analyzed.Finally,the study proposes three hypotheses and employs the Exponential Random Graph Model(ERGM)to systematically elucidate the endogenous driving mechanisms of key technology characteristics in the applicant.Findings:Over the past decade,IUR cooperation in Chinese Double First-Class universities has undergone a transformation from single technological fields to the deep integration of multiple technological fields and from traditional application areas to emerging ones.The knowledge depth,knowledge width,and knowledge combination capabilities of IUR applicants,as core independent variables,have had varying impacts on network formation across different time periods.Among them,knowledge combination capability has played a significant role in promoting network formation.Research limitations:On the one hand,this study mainly focuses on the Double First-Class universities in China and does not cover other types of universities.On the other hand,while the study mainly focuses on the analysis of the IUR technology network,the analysis of the cooperation network between applicants is still insufficient.Practical implications:This study provides practical guidance for optimizing IUR cooperation networks by emphasizing the integration of multiple technological fields,balancing knowledge depth and width,enhancing knowledge combination ability,and optimizing the internal network structure.These measures help to strengthen the stability and efficiency of cooperation networks,boost innovative outcomes,and provide strong support for scientific and technological progress as well as economic development.Originality/value:This study examines the evolution of key technologies and their impact on IUR cooperation networks in China over ten years.It shows a shift from single to multiple technological fields and from traditional to emerging applications,highlighting Chinese global competitiveness.Core variables like knowledge depth,width,and combination ability differently affect network formation over time,with knowledge combination being consistently significant.Network structural characteristics also crucially regulate stability and efficiency.The findings offer theory-based practical guidance to optimize these networks.展开更多
AI agents,whether embodied as physical entities or existing as software,are developing extremely fast and are believed to be vital for 6G and the whole Internet in the future.The communication network shall evolve to ...AI agents,whether embodied as physical entities or existing as software,are developing extremely fast and are believed to be vital for 6G and the whole Internet in the future.The communication network shall evolve to meet the great potential increase in the number of agents.AI agents are expected to become new users but with quite different traffic patterns,varying quality of service(QoS)requirements,and multi-modality data.展开更多
Amidst the burgeoning technological revolution and the growing China-United States rivalry,the second Trump administration has elevated science and technology security to the core of its national security strategy.The...Amidst the burgeoning technological revolution and the growing China-United States rivalry,the second Trump administration has elevated science and technology security to the core of its national security strategy.The underlying logic of its narrative portraying China as a threat to science and technology security is to sustain America's technological hegemony.It has been advancing policies in the science and technology sector through a two-pronged approach-i.e.,strengthening science and technology capabilities at home while uniting allies to contain adversaries globally.Compared to Joe Biden,Donald Trump,in his second term,has placed a greater emphasis on specific issues and tangible results in terms of science and technology policy.He has established four pillars:concentrating resources on developing game-changing technologies,addressing shor tcomings that hinder scientif ic and technological innovation and advancement,creating a regulatory system that audits the whole chain,and reconstructing an alliance network tied together by diverse interests.Thus,a relatively clear logical loop has taken shape,encompassing goal orientation,foundational support,security protection,and amplified synergy and reflecting a distinctly pragmatic policy approach.While the implementation of relevant policies is likely to intensify during Trump's presidency,their long-term continuity remains highly uncertain due to domestic and international structural constraints.Regardless of their future trajectory,the second Trump administration's science and technology security policies have broken up the traditional paradigm of technology governance and profoundly reshaped the global science and technology ecosystem.展开更多
The paper describes international conflicts as complex confrontations where global actors clash over multiple,often overlapping,interests related to such areas and dimensions as security&military,economy&geopo...The paper describes international conflicts as complex confrontations where global actors clash over multiple,often overlapping,interests related to such areas and dimensions as security&military,economy&geopolitics,social&cultural,cyber&information and others,with reviewing different ideas and existing publications in them.It also briefs the developed Spatial Grasp Technology(SGT)and its Spatial Grasp Language(SGL)oriented on creation,investigation,and management or large distributed systems of different natures,while providing examples of SGL programming in both physical and virtual worlds.Main ideas and organization of the multidimensional management project,currently in the development,are discussed.An example of multidimensional conflict management using interacting physical,economic,transport,and virtual dimensions is provided in SGL with practical solutions covering four and three communicating dimensions.The planned further research in this area is outlined too.Different versions of SGT were successfully tested on numerous applications in different countries,and its latest version,especially suitable for multidimensional management,can be quickly implemented on any existing software or hardware platforms.展开更多
With the accelerating urbanization process, building water supply and drainage systems—as critical components of urban infrastructure—are receiving increasing attention for their reliability, stability, and high-per...With the accelerating urbanization process, building water supply and drainage systems—as critical components of urban infrastructure—are receiving increasing attention for their reliability, stability, and high-performance operation. Addressing the shortcomings in conventional systems regarding monitoring responsiveness, energy consumption management, and fault diagnosis, this paper proposes an improvement solution leveraging intelligent monitoring and management technologies. The study employs cutting-edge sensor networks and real-time monitoring devices, combined with intelligent algorithms to continuously monitor and flexibly analyze key operational parameters, enabling early detection of anomalies and timely adjustments. Practical applications demonstrate that this technology swiftly identifies potential hazards, facilitates immediate pipeline optimization and emergency responses, significantly enhancing overall system efficiency and reliability. The upgraded system also delivers notable benefits in reducing maintenance costs, conserving water resources, and improving energy utilization efficiency. The research conclusions provide actionable pathways and technical support for the intelligent transformation of building water supply and drainage systems, not only facilitating the evolution of facility management models but also strengthening the foundation for smart city development and sustainable growth.展开更多
The core sampling experiments were conducted after hydraulic fracturing in the three-dimensional development zone of Fuling shale gas.Six coring wells of different well types were systematically designed.Based on the ...The core sampling experiments were conducted after hydraulic fracturing in the three-dimensional development zone of Fuling shale gas.Six coring wells of different well types were systematically designed.Based on the integrated engineering technology of post-fracturing drilling,coring and monitoring of shale and the analysis of fracture source tracing,the evaluation of the fracture network after fracturing in the three-dimensional development of shale gas was conducted.The data of core fractures after fracturing indicate that three major types of fractures are formed after fracturing:natural fractures,hydraulic fractures,and fractures induced by external mechanical force,which are further classified into six subcategories:natural structural fractures,natural bedding fractures,hydraulic fractures,hydraulically activated fractures,drilling induced fractures,and fractures induced by core transportation.The forms of the artificial fracture network after fracturing are complex.Hydraulic fractures and hydraulically activated fractures interweave with each other,presenting eight forms of artificial fracture networks,among which the“一”-shaped fracture is the most common,accounting for approximately 70%of the total fractures.When the distance to the fractured wellbore is less than 35 m,the density of the artificial fracture network is relatively high;when it is 35–100 m,the density is lower;and when it is beyond 100 m,the density gradually increases.The results of the fracture tracing in the core sampling area confirm that the current fracturing technology can essentially achieve the differential transformation of the reservoir in the main area of Jiaoshiba block in Fuling.The three-layer three-dimensional development model can efficiently utilize shale gas reserves,although there is still room for improvement in the complexity and propagation uniformity of fractures.It is necessary to further optimize technologies such as close-cutting combined with temporary blocking and deflection within fractures or at fracture mouths,as well as limited flow perforation techniques,to promote the balanced initiation and extension of fractures.展开更多
The 6G smart Fog Radio Access Network(F-RAN)is an integration of 6G network intelligence technologies and the F-RAN architecture.Its aim is to provide low-latency and high-performance services for massive access devic...The 6G smart Fog Radio Access Network(F-RAN)is an integration of 6G network intelligence technologies and the F-RAN architecture.Its aim is to provide low-latency and high-performance services for massive access devices.However,the performance of current 6G network intelligence technologies and its level of integration with the architecture,along with the system-level requirements for the number of access devices and limitations on energy consumption,have impeded further improvements in the 6G smart F-RAN.To better analyze the root causes of the network problems and promote the practical development of the network,this study used structured methods such as segmentation to conduct a review of the topic.The research results reveal that there are still many problems in the current 6G smart F-RAN.Future research directions and difficulties are also discussed.展开更多
In order to quickly and accurately locate the fault location of the distribution network and increase the stability of the distribution network,a fault recovery method based on multi-objective optimization algorithm i...In order to quickly and accurately locate the fault location of the distribution network and increase the stability of the distribution network,a fault recovery method based on multi-objective optimization algorithm is proposed.The optimization of the power distribution network fault system based on multiagent technology realizes fast recovery of multi-objective fault,solve the problem of network learning and parameter adjustment in the later stage of particle swarm optimization algorithm falling into the local extreme value dilemma,and realize the multi-dimensional nonlinear optimization of the main grid and the auxiliary grid.The system proposed in this study takes power distribution network as the goal,applies fuzzy probability algorithm,simplifies the calculation process,avoids local extreme value,and finally realizes the energy balance between each power grid.Simulation results show that the Multi-Agent Technology enjoys priority in restoring important load,shortening the recovery time of power grid balance,and reducing the overall line loss rate of power grid.Therefore,the power grid fault self-healing system can improve the safety and stability of the important power grid,and reduce the economic loss rate of the whole power grid.展开更多
Patent transfer has been regarded as an important channel for the nations and regions to acquire external technology,and also a direct research object to depict the relationship between supply and demand of technology...Patent transfer has been regarded as an important channel for the nations and regions to acquire external technology,and also a direct research object to depict the relationship between supply and demand of technology flow.Therefore,based on traceable patent transfer data,this article has established a dual-pipeline theoretical framework of transnational-domestic technology transfer from the interaction of the global and local(glocal)perspective,and combines social networks,GIS spatial analysis as well as spatial econometric model to discover the spatial evolution of China’s transnational technology channels and its determinant factors.It is found that:(1)The spatial heterogeneity of the overall network is significant while gradually weakened over time.(2)The eastward shift of the core cities involved in transnational technology channels is accelerating,from the hubs in North America(New York Bay Area,Silicon Valley,Caribbean offshore financial center,etc.)and West Europe(London offshore financial center etc.)to East Asia(Tokyo and Seoul)and Southeast Asia(Singapore),which illustrates China has decreased reliance on the technology from the USA and West Europe.(3)The four major innovation clusters:Beijing-Tianjin-Hebei region(Beijing as the hub),Yangtze River Delta(Shanghai as the hub),The Greater Bay Area(Shenzhen and Hong Kong as the hubs)and north Taiwan(Taipei and Hsinchu as the hubs),are regarded as global technology innovation hubs and China’s distribution centers in transnational technology flow.Among those,Chinese Hong Kong’s betweenness role of technology is strengthened due to linkage of transnational corporations and their branches,and low tax coverage of offshore finance,thus becoming the top city for technology transfer.Meanwhile,Chinese Taiwan’s core position is diminishing.(4)The breadth,intensity,and closeness of domestic technology transfer are conducive to the expansion of transnational technology import channels.Additionally,local economic level has positive effect on transnational technology transfer channels while technology strength and external economic linkage have multifaceted influences.展开更多
We investigate the design of satellite network slicing for the first time to provide customized services for the diversified applications,and propose a novel scheme for satellite end-to-end(E2E) network slicing based ...We investigate the design of satellite network slicing for the first time to provide customized services for the diversified applications,and propose a novel scheme for satellite end-to-end(E2E) network slicing based on 5G technology,which provides a view of common satellite network slicing and supports flexible network deployment between the satellite and the ground.Specifically,considering the limited satellite network resource and the characteristics of the satellite channel,we propose a novel satellite E2E network slicing architecture.Therein,the deployment of the network functions between the satellite and the ground is coordinately considered.Subsequently,the classification and the isolation technologies of satellite network sub-slices are proposed adaptively based on 5G technology to support resource allocation on demand.Then,we develop the management technologies for the satellite E2E network slicing including slicing key performance indicator(KPI) design,slicing deployment,and slicing management.Finally,the analysis of the challenges and future work shows the potential research in the future.展开更多
[Objective] To analyze the key factor in agricultural technology diffusion- technology support, and to explore the method to quicken the diffusion of agricultural technology. [Method] The technology acquisition advant...[Objective] To analyze the key factor in agricultural technology diffusion- technology support, and to explore the method to quicken the diffusion of agricultural technology. [Method] The technology acquisition advantage of social network was il- lustrated by summarizing the status and characteristics of agricultural technology and technology supporting types in the process of agriculture technology diffusion. [Result] The multi-layer, complex, persistence, systematization features of agricultural technol- ogy require support and help of technology from surrounding social network to ulti- mately internalize the technology. [Conclusion] Using social networks for the technol- ogy support will be a powerful supplement to the system of agricultural technology diffusion.展开更多
1 Introduction The growing connectivity with mobile internet has significantly enhanced our day-to-day life support through various services and applications with on-demand availability at any time or anywhere.As emer...1 Introduction The growing connectivity with mobile internet has significantly enhanced our day-to-day life support through various services and applications with on-demand availability at any time or anywhere.As emerging technologies with continuous revolutions in the digital transformations,various add-on technologies such as quantum computing,AI,and next-generation networks such as 6G are becoming an integral support to mobile internet systems.The emerging technologies in the next-generation mobile internet bring a lot of new security and privacy challenges.展开更多
The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating ...The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating as fragmented regional systems,future infrastructures will leverage Satellite-Terrestrial Integrated Networks(STIN)and 6G technologies to form a unified global network.展开更多
As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and...As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and it has been widely applied across various fields.In the field of astronomy,AI techniques have demonstrated unique advantages,particularly in the identification of pulsars and their candidates.AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency.This paper systematically surveys commonly used AI models for pulsar candidate identification,analyzing and discussing the typical applications of machine learning,artificial neural networks,convolutional neural networks,and generative adversarial networks in candidate identification.Furthermore,it explores how th.e introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing,thus playing a significant role in advancing pulsar research and the field of astronomy.展开更多
Back-propagation neural network was applied to predict and optimize the synthetic technology of 2-chloro-4,6-dinitroresorcinol. A model was established based on back-propagation neural network using the experimental d...Back-propagation neural network was applied to predict and optimize the synthetic technology of 2-chloro-4,6-dinitroresorcinol. A model was established based on back-propagation neural network using the experimental data of homogeneous design as the training sample set and the technological parameters were optimized by it. The optimal technological parameters are as follows: the reaction time is 4h, the reaction temperature is 80℃, the molar ratio of NaOH to 4,6-dinitro-1,2,3-trichlorobenzene is 5.5:1, the molar ratio of methanol to 4,6-dinitro-1,2,3- trichlorobenzene is 11:1, and the molar ratio of water to 4,6-dinitro-1,2,3-trichlorobenzene is 70:1. Under the optimal conditions, three groups of experiments were performed and the average yield of 2-chloro-4,6-dinitroresorcinol is 96.64%, the absolute error of it with the predicted value is -1.07%.展开更多
A Network Garment Style Design System (NGSDS) is proposed to enable the remote style structure drawing design of garment. After the development of the system structure based on network that consists of client end and ...A Network Garment Style Design System (NGSDS) is proposed to enable the remote style structure drawing design of garment. After the development of the system structure based on network that consists of client end and server end at two remote places, a multi-layer part database based on Oracle platform is presented to store information of different parts of garment style. With the acquirement of remote design data at server end using Http technology, the style design is ultimately implemented at the client end using Auto-connecting algorithms. One empirical example is given to show the implementation of the NGSDS.展开更多
基金supported by the National Natural Science Foundation of China(72573020,72103022).
摘要This study analyzes the evolution of China's green technology innovation cooperation network from 2011 to 2020,utilizing green patent application data.Employing a Spatial Durbin Model(SDM),we scrutinized the network's influence on urban carbon emissions,utilizing panel data encompassing 323 city nodes.Results show network expansion and a shift in central nodes from eastern coastal areas to interior cities,with Beijing,Shenzhen,Nanjing,and Shanghai consistently acting as key innovation hubs.A core-periphery structure emerged,clustering cities into high-and low-cooperation clusters.Core cities,particularly Beijing,which gain informational advantages by bridging non-overlapping nodes and exhibit distinct characteristics in terms of the structural hole indexes,reflecting their multifaceted roles within the network.SDM analysis indicates that the green technology innovation cooperation network has a significant positive impact on urban carbon reduction efforts.Specifically,degree centrality,closeness centrality,effective size,efficiency,and hierarchy of node cities exhibit a negative correlation with carbon emissions,suggesting that higher centrality and efficiency within the network correlate with lower emissions.Conversely,betweenness centrality and constraint have a positive impact on emissions,indicating that cities that act as bridges in the network may paradoxically contribute to higher emissions.Moreover,the network's influence on carbon emissions is nuanced across different green technology sectors.Cooperation in areas such as waste management,alternative energy production,energy conservation,agriculture and forestry,and transportation is found to have a more substantial impact on carbon reduction than cooperation in nuclear power,and administrative,regulatory,and design fields.
摘要In an era of intelligent coordination and integration across the domains of air,space,land,and sea,the electromagnetic spectrum becomes the core carrier for information exchange.Precise control and efficient utilization of the electromagnetic spectrum is the key for overcoming bottlenecks in multi-domain coordination.From real-time situation awareness,to seamless flow of all-domain information,to efficient interconnection of massive terminals,complex scenarios present unprecedented challenges to the timeliness,reliability,and anti-interference of information exchange.
摘要Objective To study the characteristics and influencing factors of the transnational innovation cooperation network of digital technology in the pharmaceutical industry and to promote the construction of a new pattern of global digital pharmaceutical innovation cooperation.Methods An international cooperative innovation network was constructed based on the digital patents of the pharmaceutical industry jointly invented by 79 countries from 2009 to 2020.The overall structural characteristics,status evolution characteristics,spatial evolution characteristics,and influencing factors of the transnational cooperation network of digital technology in the pharmaceutical industry were analyzed using the social network analysis method and the time-exponential random graph model(TERGM).Results and Conclusion The main body of the digital technology transnational cooperation network in the pharmaceutical industry presents diverse forms and has the characteristics of a“small world”.Innovation entities have formed stable cooperative relations,but cooperation needs strengthening.The United States and Germany are strong cooperative countries,while some developing countries such as China,India,and Russia have been weak cooperative countries for a long time.The cooperation network is greatly affected by external environmental factors,showing a three-pronged pattern of Europe,Asia,and North America.The cooperation network tends to form triples and has strong polarization characteristics,which is driven by per capita,national income,population size,technological proximity,and geographical distance.
摘要The convergence of optical and wireless technologies is driving the evolution of intelligent indoor networks,with Fiber-to-the-Room(FTTR)emerging as a key ar⁃chitecture for delivering gigabit connectivity in both home and enterprise environments.By deploying optical fiber directly to rooms and integrating it with advanced wireless so⁃lutions such as millimeter-wave and Wi-Fi 7,FTTR enables next-generation applications,including immersive Virtual Re⁃ality(VR)/Augmented Reality(AR)and industrial Internet of Things(IoT).Nevertheless,its large-scale deployment pres⁃ents challenges in network management,energy efficiency,in⁃terference mitigation,and intelligent root cause analysis.
基金supported by the Project on the Construction of the Strategic Research and Decision Support System of the Chinese Academy of Sciences(GHJ-ZLZX-2025-21).
摘要Purpose:This study aims to analyze the key technologies in Industry–University–Research(IUR)cooperation within higher education institutions,deepen the understanding of the mechanisms of IUR cooperation and the process of technological innovation,and reveal the dynamic evolution patterns and driving mechanisms of key technologies in IUR cooperation alliance networks at different stages.It also provides clear directions and strategic recommendations for cooperation among universities,enterprises,and research institutions.Methodology:This study uses patents applied for through IUR cooperation by Chinese Double First-Class universities from 2015 to 2024 as the data basis and employs the Louvain algorithm to divide IUR cooperation applicants.Subsequently,a Technology–Applicant network is constructed at two-year intervals,and key technologies are extracted using network information entropy.The evolution paths of technological characteristics are then thoroughly analyzed.Finally,the study proposes three hypotheses and employs the Exponential Random Graph Model(ERGM)to systematically elucidate the endogenous driving mechanisms of key technology characteristics in the applicant.Findings:Over the past decade,IUR cooperation in Chinese Double First-Class universities has undergone a transformation from single technological fields to the deep integration of multiple technological fields and from traditional application areas to emerging ones.The knowledge depth,knowledge width,and knowledge combination capabilities of IUR applicants,as core independent variables,have had varying impacts on network formation across different time periods.Among them,knowledge combination capability has played a significant role in promoting network formation.Research limitations:On the one hand,this study mainly focuses on the Double First-Class universities in China and does not cover other types of universities.On the other hand,while the study mainly focuses on the analysis of the IUR technology network,the analysis of the cooperation network between applicants is still insufficient.Practical implications:This study provides practical guidance for optimizing IUR cooperation networks by emphasizing the integration of multiple technological fields,balancing knowledge depth and width,enhancing knowledge combination ability,and optimizing the internal network structure.These measures help to strengthen the stability and efficiency of cooperation networks,boost innovative outcomes,and provide strong support for scientific and technological progress as well as economic development.Originality/value:This study examines the evolution of key technologies and their impact on IUR cooperation networks in China over ten years.It shows a shift from single to multiple technological fields and from traditional to emerging applications,highlighting Chinese global competitiveness.Core variables like knowledge depth,width,and combination ability differently affect network formation over time,with knowledge combination being consistently significant.Network structural characteristics also crucially regulate stability and efficiency.The findings offer theory-based practical guidance to optimize these networks.
摘要AI agents,whether embodied as physical entities or existing as software,are developing extremely fast and are believed to be vital for 6G and the whole Internet in the future.The communication network shall evolve to meet the great potential increase in the number of agents.AI agents are expected to become new users but with quite different traffic patterns,varying quality of service(QoS)requirements,and multi-modality data.
摘要Amidst the burgeoning technological revolution and the growing China-United States rivalry,the second Trump administration has elevated science and technology security to the core of its national security strategy.The underlying logic of its narrative portraying China as a threat to science and technology security is to sustain America's technological hegemony.It has been advancing policies in the science and technology sector through a two-pronged approach-i.e.,strengthening science and technology capabilities at home while uniting allies to contain adversaries globally.Compared to Joe Biden,Donald Trump,in his second term,has placed a greater emphasis on specific issues and tangible results in terms of science and technology policy.He has established four pillars:concentrating resources on developing game-changing technologies,addressing shor tcomings that hinder scientif ic and technological innovation and advancement,creating a regulatory system that audits the whole chain,and reconstructing an alliance network tied together by diverse interests.Thus,a relatively clear logical loop has taken shape,encompassing goal orientation,foundational support,security protection,and amplified synergy and reflecting a distinctly pragmatic policy approach.While the implementation of relevant policies is likely to intensify during Trump's presidency,their long-term continuity remains highly uncertain due to domestic and international structural constraints.Regardless of their future trajectory,the second Trump administration's science and technology security policies have broken up the traditional paradigm of technology governance and profoundly reshaped the global science and technology ecosystem.
摘要The paper describes international conflicts as complex confrontations where global actors clash over multiple,often overlapping,interests related to such areas and dimensions as security&military,economy&geopolitics,social&cultural,cyber&information and others,with reviewing different ideas and existing publications in them.It also briefs the developed Spatial Grasp Technology(SGT)and its Spatial Grasp Language(SGL)oriented on creation,investigation,and management or large distributed systems of different natures,while providing examples of SGL programming in both physical and virtual worlds.Main ideas and organization of the multidimensional management project,currently in the development,are discussed.An example of multidimensional conflict management using interacting physical,economic,transport,and virtual dimensions is provided in SGL with practical solutions covering four and three communicating dimensions.The planned further research in this area is outlined too.Different versions of SGT were successfully tested on numerous applications in different countries,and its latest version,especially suitable for multidimensional management,can be quickly implemented on any existing software or hardware platforms.
摘要With the accelerating urbanization process, building water supply and drainage systems—as critical components of urban infrastructure—are receiving increasing attention for their reliability, stability, and high-performance operation. Addressing the shortcomings in conventional systems regarding monitoring responsiveness, energy consumption management, and fault diagnosis, this paper proposes an improvement solution leveraging intelligent monitoring and management technologies. The study employs cutting-edge sensor networks and real-time monitoring devices, combined with intelligent algorithms to continuously monitor and flexibly analyze key operational parameters, enabling early detection of anomalies and timely adjustments. Practical applications demonstrate that this technology swiftly identifies potential hazards, facilitates immediate pipeline optimization and emergency responses, significantly enhancing overall system efficiency and reliability. The upgraded system also delivers notable benefits in reducing maintenance costs, conserving water resources, and improving energy utilization efficiency. The research conclusions provide actionable pathways and technical support for the intelligent transformation of building water supply and drainage systems, not only facilitating the evolution of facility management models but also strengthening the foundation for smart city development and sustainable growth.
摘要The core sampling experiments were conducted after hydraulic fracturing in the three-dimensional development zone of Fuling shale gas.Six coring wells of different well types were systematically designed.Based on the integrated engineering technology of post-fracturing drilling,coring and monitoring of shale and the analysis of fracture source tracing,the evaluation of the fracture network after fracturing in the three-dimensional development of shale gas was conducted.The data of core fractures after fracturing indicate that three major types of fractures are formed after fracturing:natural fractures,hydraulic fractures,and fractures induced by external mechanical force,which are further classified into six subcategories:natural structural fractures,natural bedding fractures,hydraulic fractures,hydraulically activated fractures,drilling induced fractures,and fractures induced by core transportation.The forms of the artificial fracture network after fracturing are complex.Hydraulic fractures and hydraulically activated fractures interweave with each other,presenting eight forms of artificial fracture networks,among which the“一”-shaped fracture is the most common,accounting for approximately 70%of the total fractures.When the distance to the fractured wellbore is less than 35 m,the density of the artificial fracture network is relatively high;when it is 35–100 m,the density is lower;and when it is beyond 100 m,the density gradually increases.The results of the fracture tracing in the core sampling area confirm that the current fracturing technology can essentially achieve the differential transformation of the reservoir in the main area of Jiaoshiba block in Fuling.The three-layer three-dimensional development model can efficiently utilize shale gas reserves,although there is still room for improvement in the complexity and propagation uniformity of fractures.It is necessary to further optimize technologies such as close-cutting combined with temporary blocking and deflection within fractures or at fracture mouths,as well as limited flow perforation techniques,to promote the balanced initiation and extension of fractures.
基金supported by the National Natural Science Foundation of China(62202215)Liaoning Province Applied Basic Research Program(Youth Special Project,2023JH2/101600038)+2 种基金Shenyang Youth Science and Technology Innovation Talent Support Program(RC220458)Guangxuan Program of Shenyang Ligong University(SYLUGXRC202216)Basic Research Special Funds for Undergraduate Universities in Liaoning Province(LJ212410144067).
摘要The 6G smart Fog Radio Access Network(F-RAN)is an integration of 6G network intelligence technologies and the F-RAN architecture.Its aim is to provide low-latency and high-performance services for massive access devices.However,the performance of current 6G network intelligence technologies and its level of integration with the architecture,along with the system-level requirements for the number of access devices and limitations on energy consumption,have impeded further improvements in the 6G smart F-RAN.To better analyze the root causes of the network problems and promote the practical development of the network,this study used structured methods such as segmentation to conduct a review of the topic.The research results reveal that there are still many problems in the current 6G smart F-RAN.Future research directions and difficulties are also discussed.
基金This work is supported by the project of Hebei power technology of state grid from 2018 to 2019:Research and application of real-time situation assessment and visualization(SZKJXM20170445).
摘要In order to quickly and accurately locate the fault location of the distribution network and increase the stability of the distribution network,a fault recovery method based on multi-objective optimization algorithm is proposed.The optimization of the power distribution network fault system based on multiagent technology realizes fast recovery of multi-objective fault,solve the problem of network learning and parameter adjustment in the later stage of particle swarm optimization algorithm falling into the local extreme value dilemma,and realize the multi-dimensional nonlinear optimization of the main grid and the auxiliary grid.The system proposed in this study takes power distribution network as the goal,applies fuzzy probability algorithm,simplifies the calculation process,avoids local extreme value,and finally realizes the energy balance between each power grid.Simulation results show that the Multi-Agent Technology enjoys priority in restoring important load,shortening the recovery time of power grid balance,and reducing the overall line loss rate of power grid.Therefore,the power grid fault self-healing system can improve the safety and stability of the important power grid,and reduce the economic loss rate of the whole power grid.
基金Major Project of National Social Science Foundation of China,No.21ZDA011。
摘要Patent transfer has been regarded as an important channel for the nations and regions to acquire external technology,and also a direct research object to depict the relationship between supply and demand of technology flow.Therefore,based on traceable patent transfer data,this article has established a dual-pipeline theoretical framework of transnational-domestic technology transfer from the interaction of the global and local(glocal)perspective,and combines social networks,GIS spatial analysis as well as spatial econometric model to discover the spatial evolution of China’s transnational technology channels and its determinant factors.It is found that:(1)The spatial heterogeneity of the overall network is significant while gradually weakened over time.(2)The eastward shift of the core cities involved in transnational technology channels is accelerating,from the hubs in North America(New York Bay Area,Silicon Valley,Caribbean offshore financial center,etc.)and West Europe(London offshore financial center etc.)to East Asia(Tokyo and Seoul)and Southeast Asia(Singapore),which illustrates China has decreased reliance on the technology from the USA and West Europe.(3)The four major innovation clusters:Beijing-Tianjin-Hebei region(Beijing as the hub),Yangtze River Delta(Shanghai as the hub),The Greater Bay Area(Shenzhen and Hong Kong as the hubs)and north Taiwan(Taipei and Hsinchu as the hubs),are regarded as global technology innovation hubs and China’s distribution centers in transnational technology flow.Among those,Chinese Hong Kong’s betweenness role of technology is strengthened due to linkage of transnational corporations and their branches,and low tax coverage of offshore finance,thus becoming the top city for technology transfer.Meanwhile,Chinese Taiwan’s core position is diminishing.(4)The breadth,intensity,and closeness of domestic technology transfer are conducive to the expansion of transnational technology import channels.Additionally,local economic level has positive effect on transnational technology transfer channels while technology strength and external economic linkage have multifaceted influences.
摘要We investigate the design of satellite network slicing for the first time to provide customized services for the diversified applications,and propose a novel scheme for satellite end-to-end(E2E) network slicing based on 5G technology,which provides a view of common satellite network slicing and supports flexible network deployment between the satellite and the ground.Specifically,considering the limited satellite network resource and the characteristics of the satellite channel,we propose a novel satellite E2E network slicing architecture.Therein,the deployment of the network functions between the satellite and the ground is coordinately considered.Subsequently,the classification and the isolation technologies of satellite network sub-slices are proposed adaptively based on 5G technology to support resource allocation on demand.Then,we develop the management technologies for the satellite E2E network slicing including slicing key performance indicator(KPI) design,slicing deployment,and slicing management.Finally,the analysis of the challenges and future work shows the potential research in the future.
基金Supported by the National Social Science Foundation of China:the Sociological Study on the Technology Adoption Behaviors of Farmers(08BSH049)~~
摘要[Objective] To analyze the key factor in agricultural technology diffusion- technology support, and to explore the method to quicken the diffusion of agricultural technology. [Method] The technology acquisition advantage of social network was il- lustrated by summarizing the status and characteristics of agricultural technology and technology supporting types in the process of agriculture technology diffusion. [Result] The multi-layer, complex, persistence, systematization features of agricultural technol- ogy require support and help of technology from surrounding social network to ulti- mately internalize the technology. [Conclusion] Using social networks for the technol- ogy support will be a powerful supplement to the system of agricultural technology diffusion.
摘要1 Introduction The growing connectivity with mobile internet has significantly enhanced our day-to-day life support through various services and applications with on-demand availability at any time or anywhere.As emerging technologies with continuous revolutions in the digital transformations,various add-on technologies such as quantum computing,AI,and next-generation networks such as 6G are becoming an integral support to mobile internet systems.The emerging technologies in the next-generation mobile internet bring a lot of new security and privacy challenges.
摘要The next generation of global communication networks is expected to deliver a transformative leap in connectivity,transcending beyond terrestrial limitations to achieve truly ubiquitous coverage.Rather than operating as fragmented regional systems,future infrastructures will leverage Satellite-Terrestrial Integrated Networks(STIN)and 6G technologies to form a unified global network.
基金supported by the National Key R&D Program of China(2021YFC2203502 and 2022YFF0711502)the National Natural Science Foundation of China(NSFC)(12173077)+4 种基金the Tianshan Talent Project of Xinjiang Uygur Autonomous Region(2022TSYCCX0095 and 2023TSYCCX0112)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(PTYQ2022YZZD01)China National Astronomical Data Center(NADC)the Operation,Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments,budgeted from the Ministry of Finance of China(MOF)and administrated by the Chinese Academy of Sciences(CAS)Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01A360)。
摘要As artificial intelligence(AI)technology has continued to develop,its efficient data processing and pattern recognition capabilities have significantly improved the precision and speed of decision-making processes,and it has been widely applied across various fields.In the field of astronomy,AI techniques have demonstrated unique advantages,particularly in the identification of pulsars and their candidates.AI is able to address the challenges of pulsar celestial body identification and classification because of its accuracy and efficiency.This paper systematically surveys commonly used AI models for pulsar candidate identification,analyzing and discussing the typical applications of machine learning,artificial neural networks,convolutional neural networks,and generative adversarial networks in candidate identification.Furthermore,it explores how th.e introduction of AI techniques not only enhances the efficiency and accuracy of pulsar identification but also provides new perspectives and tools for pulsar survey data processing,thus playing a significant role in advancing pulsar research and the field of astronomy.
摘要Back-propagation neural network was applied to predict and optimize the synthetic technology of 2-chloro-4,6-dinitroresorcinol. A model was established based on back-propagation neural network using the experimental data of homogeneous design as the training sample set and the technological parameters were optimized by it. The optimal technological parameters are as follows: the reaction time is 4h, the reaction temperature is 80℃, the molar ratio of NaOH to 4,6-dinitro-1,2,3-trichlorobenzene is 5.5:1, the molar ratio of methanol to 4,6-dinitro-1,2,3- trichlorobenzene is 11:1, and the molar ratio of water to 4,6-dinitro-1,2,3-trichlorobenzene is 70:1. Under the optimal conditions, three groups of experiments were performed and the average yield of 2-chloro-4,6-dinitroresorcinol is 96.64%, the absolute error of it with the predicted value is -1.07%.
摘要A Network Garment Style Design System (NGSDS) is proposed to enable the remote style structure drawing design of garment. After the development of the system structure based on network that consists of client end and server end at two remote places, a multi-layer part database based on Oracle platform is presented to store information of different parts of garment style. With the acquirement of remote design data at server end using Http technology, the style design is ultimately implemented at the client end using Auto-connecting algorithms. One empirical example is given to show the implementation of the NGSDS.