Rich semantic information in natural language increases team efficiency in human collaboration, reduces dependence on high precision data information, and improves adaptability to dynamic environment. We propose a sem...Rich semantic information in natural language increases team efficiency in human collaboration, reduces dependence on high precision data information, and improves adaptability to dynamic environment. We propose a semantic centered cloud control framework for cooperative multi-unmanned ground vehicle(UGV) system. Firstly, semantic modeling of task and environment is implemented by ontology to build a unified conceptual architecture, and secondly, a scene semantic information extraction method combining deep learning and semantic web rule language(SWRL) rules is used to realize the scene understanding and task-level cloud task cooperation. Finally, simulation results show that the framework is a feasible way to enable autonomous unmanned systems to conduct cooperative tasks.展开更多
The traditional teaching mode belittles practice and emphasis theory, regardless of the students’ enthusiasm and interest in learning. However, the educational objective of the higher vocational colleges is to cultiv...The traditional teaching mode belittles practice and emphasis theory, regardless of the students’ enthusiasm and interest in learning. However, the educational objective of the higher vocational colleges is to cultivate practical talents. Therefore, the reformation and innovation of the higher vocational education teaching mode must be carried out. This research analyses the effect of autonomous cooperative teaching mode in higher vocational colleges. The reformation of teaching mode consists of the following three parts first, the autonomous cooperative teaching needs to improve the existing education system, to lay the foundation for the work of education. Secondly, to strengthen the capacity of building and promote the full implementation of the project is essential. Finally, strengthen the construction of educational resources, and enrich the connotation of the carrier. Proved by practice, the independent collaborative teaching mode can not only improve the learning atmosphere, but also improve student achievement, but also do well to students’ all-round development and enhance their comprehensive quality. It is worthwhile to promote and implement this mode in higher education institutions.展开更多
For low-speed underwater vehicles, the ocean currents has a great influence on them, and the changes in ocean currents is complex and continuous, thus whose impact must be taken into consideration in the path planning...For low-speed underwater vehicles, the ocean currents has a great influence on them, and the changes in ocean currents is complex and continuous, thus whose impact must be taken into consideration in the path planning. There are still lack of authoritative indicator and method for the cooperating path planning. The calculation of the voyage time is a difficult problem in the time-varying ocean, for the existing methods of the cooperating path planning, the computation time will increase exponentially as the autonomous underwater vehicle（AUV） counts increase, rendering them unfeasible. A collaborative path planning method is presehted for multi-AUV under the influence of time-varying ocean currents based on the dynamic programming algorithm. Each AUV cooperates with the one who has the longest estimated time of sailing, enabling the arrays of AUV to get their common goal in the shortest time with minimum timedifference. At the same time, they could avoid the obstacles along the way to the target. Simulation results show that the proposed method has a promising applicability.展开更多
With reference to National Population Census Regulation and Notice of General Office of the State Councilon Conducting 1%Population Sampling Survey 2015,China initiated National1%Population Sampling Survey at zero hou...With reference to National Population Census Regulation and Notice of General Office of the State Councilon Conducting 1%Population Sampling Survey 2015,China initiated National1%Population Sampling Survey at zero hour on November 1,展开更多
基金supported by the National Defense Science and Technology Innovation Zone of China (193-A13-203-01-01)the Military Science Postgraduate Project of PLA (JY2020B006)。
文摘Rich semantic information in natural language increases team efficiency in human collaboration, reduces dependence on high precision data information, and improves adaptability to dynamic environment. We propose a semantic centered cloud control framework for cooperative multi-unmanned ground vehicle(UGV) system. Firstly, semantic modeling of task and environment is implemented by ontology to build a unified conceptual architecture, and secondly, a scene semantic information extraction method combining deep learning and semantic web rule language(SWRL) rules is used to realize the scene understanding and task-level cloud task cooperation. Finally, simulation results show that the framework is a feasible way to enable autonomous unmanned systems to conduct cooperative tasks.
文摘The traditional teaching mode belittles practice and emphasis theory, regardless of the students’ enthusiasm and interest in learning. However, the educational objective of the higher vocational colleges is to cultivate practical talents. Therefore, the reformation and innovation of the higher vocational education teaching mode must be carried out. This research analyses the effect of autonomous cooperative teaching mode in higher vocational colleges. The reformation of teaching mode consists of the following three parts first, the autonomous cooperative teaching needs to improve the existing education system, to lay the foundation for the work of education. Secondly, to strengthen the capacity of building and promote the full implementation of the project is essential. Finally, strengthen the construction of educational resources, and enrich the connotation of the carrier. Proved by practice, the independent collaborative teaching mode can not only improve the learning atmosphere, but also improve student achievement, but also do well to students’ all-round development and enhance their comprehensive quality. It is worthwhile to promote and implement this mode in higher education institutions.
基金supported by the National Natural Science Foundation of China(5110917951179156+2 种基金5137917661473233)the Natural Science Basic Research Plan in Shaanxi Province of China(2014JQ8330)
文摘For low-speed underwater vehicles, the ocean currents has a great influence on them, and the changes in ocean currents is complex and continuous, thus whose impact must be taken into consideration in the path planning. There are still lack of authoritative indicator and method for the cooperating path planning. The calculation of the voyage time is a difficult problem in the time-varying ocean, for the existing methods of the cooperating path planning, the computation time will increase exponentially as the autonomous underwater vehicle（AUV） counts increase, rendering them unfeasible. A collaborative path planning method is presehted for multi-AUV under the influence of time-varying ocean currents based on the dynamic programming algorithm. Each AUV cooperates with the one who has the longest estimated time of sailing, enabling the arrays of AUV to get their common goal in the shortest time with minimum timedifference. At the same time, they could avoid the obstacles along the way to the target. Simulation results show that the proposed method has a promising applicability.
文摘With reference to National Population Census Regulation and Notice of General Office of the State Councilon Conducting 1%Population Sampling Survey 2015,China initiated National1%Population Sampling Survey at zero hour on November 1,
