China is now building an innovation nation which use the strategy of intellectual.The effective use of intellectual property rights,promoting the combination between the intellectual property and the economic and soci...China is now building an innovation nation which use the strategy of intellectual.The effective use of intellectual property rights,promoting the combination between the intellectual property and the economic and social development is an important content in China.And we can use the intellectual property rights finance to solve the problem of lending for small and medium sized enterprises which our country is exploring for a long time.Also it is a significant way to the science and technology finance.Firstly,this paper introduce the policy of intellectual property finance in China.Secondly,it draw on the experience of Ameria and Japan which apply the intellectual property rights finance good.Thirdly,author design the China model of intellectual property rights finance based on the development cycle of intellectual property,and innovate the gradient valuation techniques.展开更多
网络唤醒(Wake-on-LAN)是IBM的创新专利技术。带有网络唤醒功能的IBM IntelliStation工作站,在被LANClient Control Manager或Net Finity等网络管理软件激活之后,在电源供给正常条件下可随时启动并执行各种预设的系统维护任务,从而为联...网络唤醒(Wake-on-LAN)是IBM的创新专利技术。带有网络唤醒功能的IBM IntelliStation工作站,在被LANClient Control Manager或Net Finity等网络管理软件激活之后,在电源供给正常条件下可随时启动并执行各种预设的系统维护任务,从而为联网的IntelliStation用户提供了极大的方便和灵活性。IBM IntelliStation工作站的网络唤醒部件包括:可随时为网络适配器提供5V备用电源的辅助电源接口,保证IntelliStation随时准备远程开机;展开更多
This paper delves into the economic event surrounding Intel Corporation’s high-profile acquisition of Tower Corporation.It aims to investigate the reasons behind Intel’s decision to acquire Tower,employ the SWOT ana...This paper delves into the economic event surrounding Intel Corporation’s high-profile acquisition of Tower Corporation.It aims to investigate the reasons behind Intel’s decision to acquire Tower,employ the SWOT analysis method to evaluate the event,and examine its impact on relevant stakeholders.The findings indicate that Intel’s acquisition of Tower was driven by objectives such as strengthening business areas,expanding market share,technological innovation and development,and future development strategy.Through the application of SWOT analysis,it becomes evident that the advantages of the acquisition lie in strengthening technical capabilities and expanding business segments,while simultaneously facing challenges such as integration complexities and pressure.The significance of this paper lies in gaining a comprehensive understanding of the strategic motivations and potential impacts associated with corporate acquisitions,thereby providing valuable insights for decision-making processes.The innovation lies in the comprehensive utilization of SWOT analysis to holistically evaluate the acquisition event,enabling a thorough assessment of its various aspects.For government and policymakers,they should strength regulation of corporate takeovers to ensure fair and transparent market competition,provide support and incentives,and strength cooperation to develop common policies and norms.As for enterprises,it is advised that strategic planning and comprehensive consideration should be formulated and carried out when making acquisitions.Also,stakeholders should actively participate in and monitor the process of corporate acquisition discussion and decision-making,and strengthen cooperation to ensure fair competition,maximizing the interests of all parties.展开更多
The Internet of Vehicles(IoV)plays a crucial role in providing diversified services because of its powerful capability of collecting real-time information.Generally,collected information is transmitted to a centralize...The Internet of Vehicles(IoV)plays a crucial role in providing diversified services because of its powerful capability of collecting real-time information.Generally,collected information is transmitted to a centralized resourceintensive cloud platform for service implementation.Edge Computing(EC)that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users.Additionally,many measures are adopted to optimize the performance of EC-enabled IoV,but they hardly help make dynamic decisions according to real-time requests.Artificial Intelligence(AI)is capable of enhancing the learning capacity of edge devices and thus assists in allocating resources dynamically.Although extensive research has employed AI to optimize EC performance,summaries with relative concepts or prospects are quite few.To address this gap,we conduct an exhaustive survey about utilizing AI in edge service optimization in IoV.Firstly,we establish the general condition and relative concepts about IoV,EC,and AI.Secondly,we review the edge service frameworks for IoV and explore the use of AI in edge server placement and service offloading.Finally,we discuss a number of open issues in optimizing edge services with AI.展开更多
Currently,manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization.Hence,they have to extend their production mo...Currently,manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization.Hence,they have to extend their production mode into distributed environments and establish multiple factories in various geographical locations.Nowadays,distributed manufacturing systems have been widely adopted in industrial production processes.In recent years,many studies have been done on the modeling and optimization of distributed scheduling problems.This work provides a literature review on distributed scheduling problems in intelligent manufacturing systems.By summarizing and evaluating existing studies on distributed scheduling problems,we analyze the achievements and current research status in this field and discuss ongoing studies.Insights regarding prior works are discussed to uncover future research directions,particularly swarm intelligence and evolutionary algorithms,which are used for managing distributed scheduling problems in manufacturing systems.This work focuses on journal papers discovered using Google Scholar.After reviewing the papers,in this work,we discuss the research trends of distributed scheduling problems and point out some directions for future studies.展开更多
Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.B...Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to展开更多
文摘China is now building an innovation nation which use the strategy of intellectual.The effective use of intellectual property rights,promoting the combination between the intellectual property and the economic and social development is an important content in China.And we can use the intellectual property rights finance to solve the problem of lending for small and medium sized enterprises which our country is exploring for a long time.Also it is a significant way to the science and technology finance.Firstly,this paper introduce the policy of intellectual property finance in China.Secondly,it draw on the experience of Ameria and Japan which apply the intellectual property rights finance good.Thirdly,author design the China model of intellectual property rights finance based on the development cycle of intellectual property,and innovate the gradient valuation techniques.
文摘This paper delves into the economic event surrounding Intel Corporation’s high-profile acquisition of Tower Corporation.It aims to investigate the reasons behind Intel’s decision to acquire Tower,employ the SWOT analysis method to evaluate the event,and examine its impact on relevant stakeholders.The findings indicate that Intel’s acquisition of Tower was driven by objectives such as strengthening business areas,expanding market share,technological innovation and development,and future development strategy.Through the application of SWOT analysis,it becomes evident that the advantages of the acquisition lie in strengthening technical capabilities and expanding business segments,while simultaneously facing challenges such as integration complexities and pressure.The significance of this paper lies in gaining a comprehensive understanding of the strategic motivations and potential impacts associated with corporate acquisitions,thereby providing valuable insights for decision-making processes.The innovation lies in the comprehensive utilization of SWOT analysis to holistically evaluate the acquisition event,enabling a thorough assessment of its various aspects.For government and policymakers,they should strength regulation of corporate takeovers to ensure fair and transparent market competition,provide support and incentives,and strength cooperation to develop common policies and norms.As for enterprises,it is advised that strategic planning and comprehensive consideration should be formulated and carried out when making acquisitions.Also,stakeholders should actively participate in and monitor the process of corporate acquisition discussion and decision-making,and strengthen cooperation to ensure fair competition,maximizing the interests of all parties.
基金supported by the Financial and Science Technology Plan Project of Xinjiang Production and Construction Corps(No.2020DB005)the National Key R&D Program of China(No.2019YFE0190500)+3 种基金the National Natural Science Foundation of China(Nos.61702442,61862065,and 61702277)the Application Basic Research Project in Yunnan Province(No.2018FB105)the Major Project of Science and Technology of Yunnan Province(Nos.202002AD080002 and 2019ZE005)the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund。
文摘The Internet of Vehicles(IoV)plays a crucial role in providing diversified services because of its powerful capability of collecting real-time information.Generally,collected information is transmitted to a centralized resourceintensive cloud platform for service implementation.Edge Computing(EC)that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users.Additionally,many measures are adopted to optimize the performance of EC-enabled IoV,but they hardly help make dynamic decisions according to real-time requests.Artificial Intelligence(AI)is capable of enhancing the learning capacity of edge devices and thus assists in allocating resources dynamically.Although extensive research has employed AI to optimize EC performance,summaries with relative concepts or prospects are quite few.To address this gap,we conduct an exhaustive survey about utilizing AI in edge service optimization in IoV.Firstly,we establish the general condition and relative concepts about IoV,EC,and AI.Secondly,we review the edge service frameworks for IoV and explore the use of AI in edge server placement and service offloading.Finally,we discuss a number of open issues in optimizing edge services with AI.
基金supported in part by the National Natural Science Foundation of China(Nos.61603169,61703220,and 61873328)China Postdoctoral Science Foundation Funded Project(No.2019T120569)+3 种基金Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities of China(No.2020RWG011)Shandong Province Colleges and Universities Youth Innovation Talent Introduction and Education Programthe Faculty Research Grants(FRG)from Macao University of Science and TechnologyShandong Provincial Key Laboratory for Novel Distributed Computer Software Technology。
文摘Currently,manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization.Hence,they have to extend their production mode into distributed environments and establish multiple factories in various geographical locations.Nowadays,distributed manufacturing systems have been widely adopted in industrial production processes.In recent years,many studies have been done on the modeling and optimization of distributed scheduling problems.This work provides a literature review on distributed scheduling problems in intelligent manufacturing systems.By summarizing and evaluating existing studies on distributed scheduling problems,we analyze the achievements and current research status in this field and discuss ongoing studies.Insights regarding prior works are discussed to uncover future research directions,particularly swarm intelligence and evolutionary algorithms,which are used for managing distributed scheduling problems in manufacturing systems.This work focuses on journal papers discovered using Google Scholar.After reviewing the papers,in this work,we discuss the research trends of distributed scheduling problems and point out some directions for future studies.
文摘Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to
