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82results about How to "Satisfy constraints" patented technology

Method and apparatus for scheduling traffic to meet quality of service requirements in a communication network

Packets are scheduled for transmission over a communication link in a network, using a Largest Weighted Delay First (LWDF) scheduling policy. A delay measure Wi, i=1, 2, . . . N, is computed for each of N packets, each associated with a corresponding one of N data flows and located in a head position in a corresponding one of N data flow queues. The computed delay measures are then weighted using a set of positive weights α1, α2, . . . , αN. The packet having the largest weighted delay Wii associated therewith is then selected for transmission. In an embodiment configured to meet a quality of service (QoS) requirement specified in terms of a deadline Ti and an allowed deadline violation probability δi, e.g., a requirement specified by P(Wi>Ti)≦δi, the weights αi in the set of positive weights α1, α2, . . . , αN may be given by αi=−Ti/log δi. The invention can also be used to meet other types of QoS requirements, including, e.g., requirements based on packet loss probabilities. For example, the QoS guarantee may be defined for a delay measure in the form of queue length Qi, i=1, 2, . . . N, and an allowed queue length violation probability δi. In such an embodiment, the QoS requirement is specified by P(Qi>Hi)≦δi, and the weights αi in the set of positive weights α1, α2, . . . , αN may be given by αi=−Hi/log δi, where Hi represents an upper bound on the length of the queue.
Owner:WSOU INVESTMENTS LLC +1

AUV path planning method in ocean current environment based on population super-heuristic algorithm

The invention, which belongs to the field of underwater robots, discloses an unmanned aerial vehicle path planning method in an ocean current environment based on a population super-heuristic algorithm. A population is initialized and initial comprehensive cost values of all individuals in the whole population are obtained according to the cost function; a population basic operation set and a corresponding operation selection probability vector are set; one individual in the population and a population basic operation corresponding to the maximum probability in the operation selection probability vector are selected, the individual is operated, the basic operation of the population is repeated until the entire population is traversed, so that the iteration is completed; the operation selection probability vector is adjusted again and next iteration is carried out until the iteration number reaches a set value; and after iteration completion, an individual with the lowest cost value isselected, one group of control points is formed by combining a starting point, an end point and a fixed control point of a B-spline curve, and an optimal path is generated. Therefore, problems that the path planned based on the existing AUV path planning method is not smooth and is tracked difficultly, and the tracking energy consumption is high are solved.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Unmanned aerial vehicle three-dimensional air route planning method based on calculation of ideal fluid numerical value

The invention discloses an unmanned aerial vehicle three-dimensional air route generation method based on fluid mechanics, and belongs to the field of air route planning. The method comprises the steps of firstly calculating a ball obstacle flow-around flow line on an original point along an x-axis incoming flow direction, obtaining a flow-around flow line of any incoming flow direction and any obstacle position in a plane by utilizing a rotary translation matrix, merging all flow lines into one flow line by adopting two ways according to the situation that whether the flow lines are partially overlapped or not, and finally processing the three-dimensional flow line according to the constraint of the unmanned aerial vehicle to obtain an unmanned aerial vehicle three-dimensional air route. By referring to the phenomenon that running water in the nature can avoid rocks, the fluid calculation is combined with the air route planning; meanwhile, considering the flight constraint of the unmanned aerial vehicle, when the terrain is relatively complicated, the three-dimensional flight obstacle avoiding air route which is smooth and easy for the unmanned aerial vehicle to fly can be planned. According to the method, simplicity in terrain modeling can be realized, the calculation workload is small, the constraint of the unmanned aerial vehicle can be satisfied, and convenience in realization is achieved.
Owner:SHENYANG AEROSPACE UNIVERSITY
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