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您的检索式：作者名="Daxiong Ji"
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| 1 | A Navigation Method for Multiple Robots Based on a Single Mobile Node显示文摘To satisfy the requirements of independent navigation in low cost multiple robots,a navigation frame of masterslave robots with only one master robot is introduced briefly.A range-only navigation algorithm for slave robots of low cost is presented for the navigation in unknown current.This algorithm only needs a master robot.The master is just a single mobile node which has high navigation performance.Observability of this master-salve system is theoretically analyzed.The conditions of slave robot trajectory under which observability is guaranteed are evaluated by a slave robot in real-time.The slave takes appropriate action to control its heading to achieve observability if observability is lost on the current trajectory.The navigation algorithm is implemented by a standard extended Kalman filter,and it is able to acquire accurate estimation of robot's position.The simulation results show its effectiveness of the proposed algorithm. | JI Daxiong LIU Jian | 2012 | 机器人2012，34，6： | 0 |
| 2 | Effects of intelligent feedingmethod on the growth,immunity and stress of juvenile Micropterus salmoides显示文摘The feeding method is of great significance for aquaculture production and cost.In recent years,research on intelligent feeding,a method based on fish appetite,has been trending.Fewstudies,however,have focused on fish welfare issues that can result from intelligent feeding.In this study,an adaptive feeder based on a practical intelligent feeding method was designed to evaluate whether this intelligent feeding method would impair fish welfare compared to traditional automatic feeding.The results indicated that the amount of residual feed and size inhomogeneity in the traditional group was significantly higher than that in the intelligent group.The results of the growth indicator showed that theweight gain rate(WGR)in the intelligent feeding groupwas significantly higher(30.17%)than in the traditional feeding group.Although no significant differences were observed in the survival rate(SR),the condition factor(CF)and the hepatosomatic index(HSI),the specific growth rate(SGR)in the intelligent feeding group was significantly increased by 8.33%while the feed conversion rate(FCR)was reduced by a remarkable 17.07%compared to the traditional feeding group.Moreover,intelligent feeding significantly improved the pepsin activity of the bass.In terms of immunity and antioxidant capacity,however,the fish in the intelligent feeding group had a significantly lower lysozyme(LZM)level than those fed with the traditional method.For superoxide dismutase(SOD),the intelligent group also displayed a lower activity value,although it was not significant.The intelligent feeding group had 0.14 nmol/mg protein higher malondialdehyde(MDA)activity than the traditional group.Regarding stress,although no statistical significance was observed,the cortisol level in the intelligent group was 1.9 ng/ml higher than in the traditional group.Together,these data suggested that the intelligent feeding method can significantly improve fish growth but may also result in stress and suppress innate immunity. | Dan Wei Fengdeng Zhang Zhangying Ye Songming Zhu Daxiong Ji Jian Zhao Fan Zhou Xueyan Ding | 2021 | Artificial Intelligence in Agriculture2021，，1： | 0 |
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