A fluorescence in situ hybridization (FISH) procedure was adopted to physically map two rice BAC clones 24E21 and 4F22 linked to Gm-6 and Pi-5(t) in O. offi-cinalis. FISH results showed that the two BAC clones were lo...A fluorescence in situ hybridization (FISH) procedure was adopted to physically map two rice BAC clones 24E21 and 4F22 linked to Gm-6 and Pi-5(t) in O. offi-cinalis. FISH results showed that the two BAC clones were located at 4L. The percentage distance from the centromere to the hybridization sites was 72 ± 2.62 for 24E21 and 54± 5.43 for 4F22, the detection rates were 52.70% and 61.2%. The results obtained from the BAC and plasmid clones, RG214 and RZ565 of cultivated rice and O. officinalis were the same. This suggested that the markers, RG214 and RZ565 of cultivated rice and O. officinalis were in the same BAC clones. The homologous sequences of Gm-6 and Pi-5(t) in O. officinalis were positions that signals existed on the 4L. Many signals were observed when no Cot-1 DNA blocked. This also showed that repetitive sequences were some ho-molgous between cultivated rice and O. officinalis. The identification of chromosome 4 of O. officinalis is based on Jena et al. (1994). In our study, we discussed展开更多
The tremendous performance gain of heterogeneous networks(Het Nets) is at the cost of complicated resource allocation. Considering information security, the resource allocation for Het Nets becomes much more challengi...The tremendous performance gain of heterogeneous networks(Het Nets) is at the cost of complicated resource allocation. Considering information security, the resource allocation for Het Nets becomes much more challenging and this is the focus of this paper. In this paper, the eavesdropper is hidden from the macro base stations. To relax the unpractical assumption on the channel state information on eavesdropper, a localization based algorithm is first given. Then a joint resource allocation algorithm is proposed in our work, which simultaneously considers physical layer security, cross-tier interference and joint optimization of power and subcarriers under fairness requirements. It is revealed in our work that the considered optimization problem can be efficiently solved relying on convex optimization theory and the Lagrangian dual decomposition method is exploited to solve the considered problem effectively. Moreover, in each iteration the closed-form optimal resource allocation solutions can be obtained based on the Karush-Kuhn-Tucker(KKT) conditions. Finally, the simulation results are given to show the performance advantages of the proposed algorithm.展开更多
Rice BAC library is used widely in rice genome research due to its distinctive advantages over other library systems. In this study, two rice BAC clones closely linked to rice gall midge resistance, Gm-2 and Gm-6, we... Rice BAC library is used widely in rice genome research due to its distinctive advantages over other library systems. In this study, two rice BAC clones closely linked to rice gall midge resistance, Gm-2 and Gm-6, were in situ hybridized to Oryza officinalis chromosomes. They were located on the long arm of chromosome 4 with FL 72.33% and 77. 10% respectively and their FL was consistent with the selective marker of rice, RG214 and RZ569. The frequency of signal detection was 61.2% and 59.5% respectively. Our study was based on comparative RFLP map of wild rice, O. officinalis, and cultivated rice, O.sativa.展开更多
Motivated by the promising benefits of connected and autonomous vehicles (CAVs) in improving fuelefficiency, mitigating congestion, and enhancing safety, numerous theoretical models have been proposed to plan CAVmulti...Motivated by the promising benefits of connected and autonomous vehicles (CAVs) in improving fuelefficiency, mitigating congestion, and enhancing safety, numerous theoretical models have been proposed to plan CAVmultiple-step trajectories (time–specific speed/location trajectories) to accomplish various operations. However, limitedefforts have been made to develop proper trajectory control techniques to regulate vehicle movements to follow multiplesteptrajectories and test the performance of theoretical trajectory planning models with field experiments. Without aneffective control method, the benefits of theoretical models for CAV trajectory planning can be difficult to harvest. This studyproposes an online learning-based model predictive vehicle trajectory control structure to follow time–specific speed andlocation profiles. Unlike single-step controllers that are dominantly used in the literature, a multiple-step model predictivecontroller is adopted to control the vehicle’s longitudinal movements for higher accuracy. The model predictive controlleroutput (speed) cannot be interpreted by vehicles. A reinforcement learning agent is used to convert the speed value to thevehicle’s direct control variable (i.e., throttle/brake). The reinforcement learning agent captures real-time changes in theoperating environment. This is valuable in saving parameter calibration resources and improving trajectory control accuracy.A line tracking controller keeps vehicles on track. The proposed control structure is tested using reduced-scale robot cars.The adaptivity of the proposed control structure is demonstrated by changing the vehicle load. Then, experiments on twofundamental CAV platoon operations (i.e., platooning and split) show the effectiveness of the proposed trajectory controlstructure in regulating robot movements to follow time-specific reference trajectories.展开更多
基金the National Natural Science Foundation ofChina (Grant No. 39870423) and the Doctorate Vesting Point Foundation of the State Education Commission of China (Grant No. 207980112).
文摘A fluorescence in situ hybridization (FISH) procedure was adopted to physically map two rice BAC clones 24E21 and 4F22 linked to Gm-6 and Pi-5(t) in O. offi-cinalis. FISH results showed that the two BAC clones were located at 4L. The percentage distance from the centromere to the hybridization sites was 72 ± 2.62 for 24E21 and 54± 5.43 for 4F22, the detection rates were 52.70% and 61.2%. The results obtained from the BAC and plasmid clones, RG214 and RZ565 of cultivated rice and O. officinalis were the same. This suggested that the markers, RG214 and RZ565 of cultivated rice and O. officinalis were in the same BAC clones. The homologous sequences of Gm-6 and Pi-5(t) in O. officinalis were positions that signals existed on the 4L. Many signals were observed when no Cot-1 DNA blocked. This also showed that repetitive sequences were some ho-molgous between cultivated rice and O. officinalis. The identification of chromosome 4 of O. officinalis is based on Jena et al. (1994). In our study, we discussed
基金supported by the National Natural Science Foundation of China under Grant No.61371075the 863 project SS2015AA011306
文摘The tremendous performance gain of heterogeneous networks(Het Nets) is at the cost of complicated resource allocation. Considering information security, the resource allocation for Het Nets becomes much more challenging and this is the focus of this paper. In this paper, the eavesdropper is hidden from the macro base stations. To relax the unpractical assumption on the channel state information on eavesdropper, a localization based algorithm is first given. Then a joint resource allocation algorithm is proposed in our work, which simultaneously considers physical layer security, cross-tier interference and joint optimization of power and subcarriers under fairness requirements. It is revealed in our work that the considered optimization problem can be efficiently solved relying on convex optimization theory and the Lagrangian dual decomposition method is exploited to solve the considered problem effectively. Moreover, in each iteration the closed-form optimal resource allocation solutions can be obtained based on the Karush-Kuhn-Tucker(KKT) conditions. Finally, the simulation results are given to show the performance advantages of the proposed algorithm.
基金the National Nature Science Founcdationof China(No.39870423) the Doctorate Vesting Point Foundation of the Ministry of Education,thePeoople's Republic of China.
文摘 Rice BAC library is used widely in rice genome research due to its distinctive advantages over other library systems. In this study, two rice BAC clones closely linked to rice gall midge resistance, Gm-2 and Gm-6, were in situ hybridized to Oryza officinalis chromosomes. They were located on the long arm of chromosome 4 with FL 72.33% and 77. 10% respectively and their FL was consistent with the selective marker of rice, RG214 and RZ569. The frequency of signal detection was 61.2% and 59.5% respectively. Our study was based on comparative RFLP map of wild rice, O. officinalis, and cultivated rice, O.sativa.
基金sponsored by the National Science Foundation(CMMI#1558887 and CMMI#1932452).
文摘Motivated by the promising benefits of connected and autonomous vehicles (CAVs) in improving fuelefficiency, mitigating congestion, and enhancing safety, numerous theoretical models have been proposed to plan CAVmultiple-step trajectories (time–specific speed/location trajectories) to accomplish various operations. However, limitedefforts have been made to develop proper trajectory control techniques to regulate vehicle movements to follow multiplesteptrajectories and test the performance of theoretical trajectory planning models with field experiments. Without aneffective control method, the benefits of theoretical models for CAV trajectory planning can be difficult to harvest. This studyproposes an online learning-based model predictive vehicle trajectory control structure to follow time–specific speed andlocation profiles. Unlike single-step controllers that are dominantly used in the literature, a multiple-step model predictivecontroller is adopted to control the vehicle’s longitudinal movements for higher accuracy. The model predictive controlleroutput (speed) cannot be interpreted by vehicles. A reinforcement learning agent is used to convert the speed value to thevehicle’s direct control variable (i.e., throttle/brake). The reinforcement learning agent captures real-time changes in theoperating environment. This is valuable in saving parameter calibration resources and improving trajectory control accuracy.A line tracking controller keeps vehicles on track. The proposed control structure is tested using reduced-scale robot cars.The adaptivity of the proposed control structure is demonstrated by changing the vehicle load. Then, experiments on twofundamental CAV platoon operations (i.e., platooning and split) show the effectiveness of the proposed trajectory controlstructure in regulating robot movements to follow time-specific reference trajectories.
