To investigate the chemical components of the barks and twigs ofltoa orientalis. A new linear monoterpene glycoside named itoside O was isolated from the crude extract of Itoa orientalis together with 11 known compoun...To investigate the chemical components of the barks and twigs ofltoa orientalis. A new linear monoterpene glycoside named itoside O was isolated from the crude extract of Itoa orientalis together with 11 known compounds. The new compound was identified to be 3,7-dimethyl-1, 6-octadien-3, 10-dihydroxyl-10-O-α-L-arabinopyranosyl （1 -→6）-O-β-D-glucopyranoside by 1D and 2D NMR analysis, and all known compounds were isolated from this plant for the first time.展开更多
Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and surveillance.However,these tasks require a large computation load of im...Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and surveillance.However,these tasks require a large computation load of image or video processing,which imposes enormous pressure on the UAV computation platform.To solve this issue,in this work,we propose an intelligent Task Offloading Algorithm(iTOA)for UAV edge computing network.Compared with existing methods,iTOA is able to perceive the network’s environment intelligently to decide the offloading action based on deep Monte Calor Tree Search(MCTS),the core algorithm of Alpha Go.MCTS will simulate the offloading decision trajectories to acquire the best decision by maximizing the reward,such as lowest latency or power consumption.To accelerate the search convergence of MCTS,we also proposed a splitting Deep Neural Network(sDNN)to supply the prior probability for MCTS.The sDNN is trained by a self-supervised learning manager.Here,the training data set is obtained from iTOA itself as its own teacher.Compared with game theory and greedy search-based methods,the proposed iTOA improves service latency performance by 33%and 60%,respectively.展开更多
基金Program for Changjiang Scholar and Innovative Team in University (Grant No. 985-2-063-112)
文摘To investigate the chemical components of the barks and twigs ofltoa orientalis. A new linear monoterpene glycoside named itoside O was isolated from the crude extract of Itoa orientalis together with 11 known compounds. The new compound was identified to be 3,7-dimethyl-1, 6-octadien-3, 10-dihydroxyl-10-O-α-L-arabinopyranosyl （1 -→6）-O-β-D-glucopyranoside by 1D and 2D NMR analysis, and all known compounds were isolated from this plant for the first time.
基金the Artificial Intelligence Key Laboratory of Sichuan Province(Nos.2019RYJ05)National Natural Science Foundation of China(Nos.61971107).
文摘Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and surveillance.However,these tasks require a large computation load of image or video processing,which imposes enormous pressure on the UAV computation platform.To solve this issue,in this work,we propose an intelligent Task Offloading Algorithm(iTOA)for UAV edge computing network.Compared with existing methods,iTOA is able to perceive the network’s environment intelligently to decide the offloading action based on deep Monte Calor Tree Search(MCTS),the core algorithm of Alpha Go.MCTS will simulate the offloading decision trajectories to acquire the best decision by maximizing the reward,such as lowest latency or power consumption.To accelerate the search convergence of MCTS,we also proposed a splitting Deep Neural Network(sDNN)to supply the prior probability for MCTS.The sDNN is trained by a self-supervised learning manager.Here,the training data set is obtained from iTOA itself as its own teacher.Compared with game theory and greedy search-based methods,the proposed iTOA improves service latency performance by 33%and 60%,respectively.
