商业智能作为企业数据整合和决策支持的信息系统,受到了理论和实践的广泛关注。然而目前还没有针对商业智能研究前沿和主题演进规律的研究。为了揭示商业智能研究主题和演进趋势,为未来的研究工作提供思路、奠定基础,本文基于文献计量...商业智能作为企业数据整合和决策支持的信息系统,受到了理论和实践的广泛关注。然而目前还没有针对商业智能研究前沿和主题演进规律的研究。为了揭示商业智能研究主题和演进趋势,为未来的研究工作提供思路、奠定基础,本文基于文献计量方法梳理和评述近30年(1990-2020年)Web of Science中商业智能领域的理论研究。结果表明,商业智能研究文献数量处于快速成长期,研究潜力较大。美国处于商业智能研究前沿,中国的相关研究在国际中影响力不足。目前商业智能主要聚焦于管理信息系统方向,未来商业智能的研究将主要聚焦于商业智能与大数据、商业智能的风险与挑战、商业智能与创新、商业智能与预测性分析等主题。展开更多
Secret key generation(SKG)is a promising solution to the problem of wireless communications security.As the first step of SKG,channel probing affects it significantly.Although there have been some probing schemes,ther...Secret key generation(SKG)is a promising solution to the problem of wireless communications security.As the first step of SKG,channel probing affects it significantly.Although there have been some probing schemes,there is a lack of research on the optimization of the probing process.This study investigates how to optimize correlated parameters to maximize the SKG rate(SKGR)in the time-division duplex(TDD)mode.First,we build a probing model which includes the effects of transmitting power,the probing period,and the dimension of sample vectors.Based on the model,the analytical expression of the SKGR is given.Next,we formulate an optimization problem for maximizing the SKGR and give an algorithm to solve it.We conclude the SKGR monotonically increases as the transmitting power increases.Relevant mathematical proofs are given in this study.From the simulation results,increasing appropriately the probing period and the dimension of the sample vector could increase the SKGR dramatically compared to a yardstick,which indicates the importance of optimizing the parameters related to the channel probing phase.展开更多
文摘商业智能作为企业数据整合和决策支持的信息系统,受到了理论和实践的广泛关注。然而目前还没有针对商业智能研究前沿和主题演进规律的研究。为了揭示商业智能研究主题和演进趋势,为未来的研究工作提供思路、奠定基础,本文基于文献计量方法梳理和评述近30年(1990-2020年)Web of Science中商业智能领域的理论研究。结果表明,商业智能研究文献数量处于快速成长期,研究潜力较大。美国处于商业智能研究前沿,中国的相关研究在国际中影响力不足。目前商业智能主要聚焦于管理信息系统方向,未来商业智能的研究将主要聚焦于商业智能与大数据、商业智能的风险与挑战、商业智能与创新、商业智能与预测性分析等主题。
基金supported in part by the national natural science foundation of China (NSFC) under Grant61871193in part by the R&D Program of key science and technology fields in Guangdong province under Grant 2019B090912001in part by the Guangzhou Key Field R&D Program under Grant 202206030005
文摘Secret key generation(SKG)is a promising solution to the problem of wireless communications security.As the first step of SKG,channel probing affects it significantly.Although there have been some probing schemes,there is a lack of research on the optimization of the probing process.This study investigates how to optimize correlated parameters to maximize the SKG rate(SKGR)in the time-division duplex(TDD)mode.First,we build a probing model which includes the effects of transmitting power,the probing period,and the dimension of sample vectors.Based on the model,the analytical expression of the SKGR is given.Next,we formulate an optimization problem for maximizing the SKGR and give an algorithm to solve it.We conclude the SKGR monotonically increases as the transmitting power increases.Relevant mathematical proofs are given in this study.From the simulation results,increasing appropriately the probing period and the dimension of the sample vector could increase the SKGR dramatically compared to a yardstick,which indicates the importance of optimizing the parameters related to the channel probing phase.
