This paper considers a UAV communication system with mobile edge computing(MEC).We minimize the energy consumption of the whole system via jointly optimizing the UAV's trajectory and task assignment as well as CPU...This paper considers a UAV communication system with mobile edge computing(MEC).We minimize the energy consumption of the whole system via jointly optimizing the UAV's trajectory and task assignment as well as CPU's computational speed under the set of resource constrains.To this end,we first derive the energy consumption model of data processing,and then obtain the energy consumption model of fixed-wing UAV's flight.The optimization problem is mathematically formulated.To address the problem,we first obtain the approximate optimization problem by applying the technique of discrete linear state-space approximation,and then transform the non-convex constraints into convex by using linearization.Furthermore,a concave-convex procedure(CCCP) based algorithm is proposed in order to solve the optimization problem approximately.Numerical results show the efficacy of the proposed algorithm.展开更多
A multi-shape representation approach for measuring geometrical properties of profiled fibers was presented.From closed edge chains of a fiber cross section,three evenly spaced vertices were selected to form a triangl...A multi-shape representation approach for measuring geometrical properties of profiled fibers was presented.From closed edge chains of a fiber cross section,three evenly spaced vertices were selected to form a triangle by changing the vertices' spacing,or the step length,the Triangle Area Representation(TAR)was calculated with a special determinant.The bend direction of the two consecutive lines drawn by three vertices determined the sign of the TAR.TARN and TARP were negative and positive extensions of TAR,and used to analyze concave and convex segments on the boundary.The length of TARN measured the size of concaveness.Multi-scale TARPs together with TARN can help to detect fiber conglutinations.展开更多
基金supported in part by National Natural Science Foundation of China(Grant No.61702149,U1709220)
文摘This paper considers a UAV communication system with mobile edge computing(MEC).We minimize the energy consumption of the whole system via jointly optimizing the UAV's trajectory and task assignment as well as CPU's computational speed under the set of resource constrains.To this end,we first derive the energy consumption model of data processing,and then obtain the energy consumption model of fixed-wing UAV's flight.The optimization problem is mathematically formulated.To address the problem,we first obtain the approximate optimization problem by applying the technique of discrete linear state-space approximation,and then transform the non-convex constraints into convex by using linearization.Furthermore,a concave-convex procedure(CCCP) based algorithm is proposed in order to solve the optimization problem approximately.Numerical results show the efficacy of the proposed algorithm.
基金Foundation for the Author of National Excellent Doctoral Dissertation of P.R.China(No.200350)
文摘A multi-shape representation approach for measuring geometrical properties of profiled fibers was presented.From closed edge chains of a fiber cross section,three evenly spaced vertices were selected to form a triangle by changing the vertices' spacing,or the step length,the Triangle Area Representation(TAR)was calculated with a special determinant.The bend direction of the two consecutive lines drawn by three vertices determined the sign of the TAR.TARN and TARP were negative and positive extensions of TAR,and used to analyze concave and convex segments on the boundary.The length of TARN measured the size of concaveness.Multi-scale TARPs together with TARN can help to detect fiber conglutinations.
