The development of Financial Technology(FinTech)in areas such as mobile Internet,cloud computing,big data,search engines,and blockchain technology have significantly changed the financial industry.FinTech is expected ...The development of Financial Technology(FinTech)in areas such as mobile Internet,cloud computing,big data,search engines,and blockchain technology have significantly changed the financial industry.FinTech is expected to overturn the traditional banking business model,forcing banks to upgrade and transform.This study adopts a comparative case study method to contrast and analyze the Industrial and Commercial Bank of China(ICBC)and Citibank.It analyzes the strategies,organizations,HR systems,and product innovations adopted by these two banks in response to the impact of FinTech.This paper proposes an“electric vehicle”mode for ICBC and an“airplane mode”for Citibank.Further,it describes the difficulties encountered by the Chinese banking industry and proposes some feasible ways to upgrade.“Technology power”will become the core competitive concept for the financial institutions of the future.展开更多
After a major outage,mobile emergency resources(MERs)can be dispatched via the transportation system(TS)for service restoration to critical loads in the power distribution system(PDS).In this case study,the efficiency...After a major outage,mobile emergency resources(MERs)can be dispatched via the transportation system(TS)for service restoration to critical loads in the power distribution system(PDS).In this case study,the efficiency of service restoration in the PDS is associated with the traffic efficiency of the TS,and vice versa,because the PDS and TS are mutually coupled through traffic lights and MERs.This paper proposes a service restoration method considering interdependency between the PDS and TS,which is formulated as a mixed-integer linear program(MILP).The objective includes maximizing the efficiency of both PDS restoration and TS.By solving the MILP,the dynamic load restoration and MER dispatch strategies can be obtained.For the PDS,the availability of MERs,including mobile sources and repair crews,relates to their dispatch in the TS,and their relationship is formulated as mathematical models.For the TS,the dynamic traffic flow is modeled using the cell transmission model and the effect of traffic lights is considered.Case studies validate the effectiveness of the proposed method.展开更多
在移动机器人路径规划中需要考虑距离约束和时间约束,同时,为了使机器人在能量补给不足的情况下更高效地执行更多的任务,降低运动过程中的能耗变得尤为重要。兼顾考虑机器人对降低能耗和路径规划效率两方面的需求,本文提出了一种基于改...在移动机器人路径规划中需要考虑距离约束和时间约束,同时,为了使机器人在能量补给不足的情况下更高效地执行更多的任务,降低运动过程中的能耗变得尤为重要。兼顾考虑机器人对降低能耗和路径规划效率两方面的需求,本文提出了一种基于改进AD*(Anytime dynamic A*)算法的移动机器人低能耗最优路径规划方法。首先,通过构建机器人动力学模型及其在运动过程中的能耗模型,实现对路径的能耗计算。结合机器人运动学模型,采用基于采样的模型预测算法(Sample based model predictive optimization,SBMPO)生成优化轨迹簇。然后,改进AD*算法,将距离成本和能耗成本融入搜索节点的评估函数,根据轨迹簇中的节点连接关系和环境地图进行在线规划,以获得能耗最优的路径。最后,通过设计仿真测试场景,将所提出的能耗最优路径规划方法与距离最优规划方法进行规划结果对比,验证了算法的有效性。展开更多
To further promote the achievable average secrecy rate for UAV-ground communications, a UAV-aided mobile jamming strategy was proposed in this paper. Specifically, an additional cooperative UAV is employed as a mobile...To further promote the achievable average secrecy rate for UAV-ground communications, a UAV-aided mobile jamming strategy was proposed in this paper. Specifically, an additional cooperative UAV is employed as a mobile jammer to transmit the jamming signal to help keep the source UAV closer to the ground destination, thus establishing more favorable legitimate link and enhancing the secrecy performance. We aimed to maximize the achievable secrecy rate by jointly optimizing the trajectories and transmit power of both source UAV and jammer UAV. To solve the considered non-convex optimization problem, we presented a block coordinate descent based iterative algorithm to address a sequence of approximated convex problems for the optimized parameter block by block to find a local optimal solution. Numerical results verify that the proposed algorithm can achieve significant secrecy rate gain compared to all the benchmark schemes.展开更多
In this paper, we study an energy efficient multi-antenna unmanned aerial vehicle(UAV)-enabled half-duplex mobile relaying system under Rician fading channels. By assuming that the UAV follows a circular trajectory at...In this paper, we study an energy efficient multi-antenna unmanned aerial vehicle(UAV)-enabled half-duplex mobile relaying system under Rician fading channels. By assuming that the UAV follows a circular trajectory at fixed altitude and applying the decode-and-forward relaying strategy, we maximize the energy efficiency by jointly designing beamforming, power allocation, circular radius and flight speed, subject to the sum transmit power constraint on source node and UAV relay node. First, we maximize the end-to-end signal-to-noise ratio by jointly designing beamforming and statistical power allocation. Based on the obtained beamforming and power allocation results, we then obtain a semi closed-form expression of energy efficiency, and finally maximize energy efficiency by optimizing flight speed and circular radius, allowing optimal circular radius to be obtained via numerical computation. Numerical results demonstrate that the proposed scheme can effectively enhance the system energy efficiency.展开更多
基金This manuscript has sponsored by(531-541009)from the Advanced Institute of Finance,Sun Yat-sen University.
文摘The development of Financial Technology(FinTech)in areas such as mobile Internet,cloud computing,big data,search engines,and blockchain technology have significantly changed the financial industry.FinTech is expected to overturn the traditional banking business model,forcing banks to upgrade and transform.This study adopts a comparative case study method to contrast and analyze the Industrial and Commercial Bank of China(ICBC)and Citibank.It analyzes the strategies,organizations,HR systems,and product innovations adopted by these two banks in response to the impact of FinTech.This paper proposes an“electric vehicle”mode for ICBC and an“airplane mode”for Citibank.Further,it describes the difficulties encountered by the Chinese banking industry and proposes some feasible ways to upgrade.“Technology power”will become the core competitive concept for the financial institutions of the future.
基金This work was supported in part by Fundamental Funds for the Central University under Grant No.2018RC018the National Natural Science Foundation of China under Grant No.51807004the project of State Grid Shanghai Electrical Power Research Institute(B30940190000).
文摘After a major outage,mobile emergency resources(MERs)can be dispatched via the transportation system(TS)for service restoration to critical loads in the power distribution system(PDS).In this case study,the efficiency of service restoration in the PDS is associated with the traffic efficiency of the TS,and vice versa,because the PDS and TS are mutually coupled through traffic lights and MERs.This paper proposes a service restoration method considering interdependency between the PDS and TS,which is formulated as a mixed-integer linear program(MILP).The objective includes maximizing the efficiency of both PDS restoration and TS.By solving the MILP,the dynamic load restoration and MER dispatch strategies can be obtained.For the PDS,the availability of MERs,including mobile sources and repair crews,relates to their dispatch in the TS,and their relationship is formulated as mathematical models.For the TS,the dynamic traffic flow is modeled using the cell transmission model and the effect of traffic lights is considered.Case studies validate the effectiveness of the proposed method.
文摘在移动机器人路径规划中需要考虑距离约束和时间约束,同时,为了使机器人在能量补给不足的情况下更高效地执行更多的任务,降低运动过程中的能耗变得尤为重要。兼顾考虑机器人对降低能耗和路径规划效率两方面的需求,本文提出了一种基于改进AD*(Anytime dynamic A*)算法的移动机器人低能耗最优路径规划方法。首先,通过构建机器人动力学模型及其在运动过程中的能耗模型,实现对路径的能耗计算。结合机器人运动学模型,采用基于采样的模型预测算法(Sample based model predictive optimization,SBMPO)生成优化轨迹簇。然后,改进AD*算法,将距离成本和能耗成本融入搜索节点的评估函数,根据轨迹簇中的节点连接关系和环境地图进行在线规划,以获得能耗最优的路径。最后,通过设计仿真测试场景,将所提出的能耗最优路径规划方法与距离最优规划方法进行规划结果对比,验证了算法的有效性。
基金partly supported by National Natural Science Foundation of China (No. 41504026, 61362009)Natural Science Foundation of Jiangxi (No.20152ACB21003)Foundation for Distinguished Young Talents Training Programme of Jiangxi (No.20171BCB23006)
文摘To further promote the achievable average secrecy rate for UAV-ground communications, a UAV-aided mobile jamming strategy was proposed in this paper. Specifically, an additional cooperative UAV is employed as a mobile jammer to transmit the jamming signal to help keep the source UAV closer to the ground destination, thus establishing more favorable legitimate link and enhancing the secrecy performance. We aimed to maximize the achievable secrecy rate by jointly optimizing the trajectories and transmit power of both source UAV and jammer UAV. To solve the considered non-convex optimization problem, we presented a block coordinate descent based iterative algorithm to address a sequence of approximated convex problems for the optimized parameter block by block to find a local optimal solution. Numerical results verify that the proposed algorithm can achieve significant secrecy rate gain compared to all the benchmark schemes.
基金supported in part by the National Science Foundation (NSFC) for Distinguished Young Scholars of China with Grant 61625106the National Natural Science Foundation of China under Grant 61531011
文摘In this paper, we study an energy efficient multi-antenna unmanned aerial vehicle(UAV)-enabled half-duplex mobile relaying system under Rician fading channels. By assuming that the UAV follows a circular trajectory at fixed altitude and applying the decode-and-forward relaying strategy, we maximize the energy efficiency by jointly designing beamforming, power allocation, circular radius and flight speed, subject to the sum transmit power constraint on source node and UAV relay node. First, we maximize the end-to-end signal-to-noise ratio by jointly designing beamforming and statistical power allocation. Based on the obtained beamforming and power allocation results, we then obtain a semi closed-form expression of energy efficiency, and finally maximize energy efficiency by optimizing flight speed and circular radius, allowing optimal circular radius to be obtained via numerical computation. Numerical results demonstrate that the proposed scheme can effectively enhance the system energy efficiency.
