31 results about "Artificial Ants" patented technology

The invention belongs to the technical field of iris recognition, and in particular relates to a method for extracting eyelashes based on an improved ant colony algorithm, which is implemented according to the following steps: (1) initializing the pheromone in the eyelash extraction area; placing an artificial ant, and setting each parameter of the algorithm; (2) ) each artificial ant executes step (3) and step (4) in turn; (3) the artificial ant selects the position of the next step, and the end condition is to finish the prescribed number of steps s or to have no way to go; (4) the artificial ant Update the pheromone at the passed position; (5) After all the artificial ants have traversed, get the pheromone concentration at each position of the image, and then use the OTSU algorithm to extract the edge of the eyelashes; (6) Integrate the edge of the eyelashes to get a complete eyelashes; (7) Sequential sliding windows are used to eliminate noise to obtain the final eyelashes. In the present invention, when the distance between artificial ants is about 25 pixels, the algorithm can not only ensure the speed of eyelash detection, but also ensure the effect of eyelash detection.

The invention discloses a fast-converging ant colony routing establishment method based on a vehicle-mounted short-distance communication network, comprising the following steps: a node receives heartbeat information of surrounding nodes, and determines the distance and driving direction of surrounding nodes according to the heartbeat information; from a source node to a destination The nodes determine the selection zone step by step; number the nodes in the selection zone and the selection zone; initialize the pheromone of the source node and each intermediate node according to the number; use the improved ant colony algorithm to establish a route; Excellent transmit power. The present invention makes full use of the characteristics of the V2X network, improves the ant colony algorithm, not only reduces the invalid walking of artificial ants, but also greatly increases the convergence speed of the ant colony algorithm, and proposes a routing establishment method suitable for V2X networks .

The invention discloses a resource allocation method of a wireless cloud computing system, which belongs to the technical field of cloud computing. The present invention proposes the concept of jumping arrival rate for the wireless cloud computing system. By combining the artificial ant colony algorithm and the tabu search algorithm, a new algorithm is proposed to transfer users above the jumping reaching rate in the wireless cloud computing system. To the area below the jump reach. This method first divides the area into equal-area areas for system deployment, and then iteratively performs the transfer of ants and the update of transfer information through the designed algorithm until the termination condition is met. Finally, the algorithm is simulated on the system, and the verification results show that, By using this algorithm, computing resources of the system can be distributed in a balanced manner, the number and proportion of user congestion of the system can be significantly reduced, and user experience is improved.

The invention discloses a task scheduling method for a Kettle cluster server, which includes coordinating and filtering based on the completion time of each task on each server to obtain the recommendation score of each server for each task; obtaining the score of each server based on the status index of each server Load status score; based on the recommendation score of each server for each task and the load status score of each server, the heuristic factor for each task to be transferred between any two servers; based on the transfer rate of each task between any two servers The heuristic factor combined with the ant colony algorithm performs iterative search in the cluster server, and obtains the final task scheduling and allocation scheme. Using the artificial ant colony algorithm to schedule and allocate data processing tasks on the Kettle system can maximize the resource utilization of the Kettle server cluster system, achieve server load balancing, improve system performance, and improve the efficiency of data cleaning, extraction, and loading processes, thereby improving customer experience. , Improve work efficiency to enhance the benefits of the enterprise.

The invention belongs to the technical field of iris diagnosis, and in particular relates to a method for extracting crimping wheels based on a two-stage ant colony algorithm; the method needs to be iterated twice, and the task of the first stage is to use a large number of artificial ants to perform a few iterations to determine the ANW Approximate position, which is used to determine the initial position of the artificial ants in the next stage; in the second stage, a small number of artificial ants are used to perform multiple iterations to obtain the final extraction result of the crimping wheel. In the process of each iteration, the artificial ants can quickly approach the ANW direction by introducing the local direction guidance factor and the global direction guidance factor; by using the pheromone update strategy based on the point density, the pheromone concentration near the edge of the ANW can be Rapid growth, and finally extract the final ANW curve according to the concentration value of pheromone.

The invention discloses a pilot scheduling method applicable to massive MIMO (multiple-input multiple-output) cellular mobile communication networks. The pilot scheduling method includes steps of (1),acquiring state information of channels between base stations and users in the base stations; (2), initializing heuristic information and information elements on construction graphs; (3), generatinga plurality of artificial ants and allowing the ants to completely walk on the construction graphs; (4), recording walk paths of the ants and generating pilot allocation matrixes; (5), judging whetherstop conditions are met or not, stopping actions if the stop conditions are met, and outputting the pilot allocation matrixes; (6), updating the information elements on the construction graphs and skipping to the step (3). The pilot scheduling method has the advantages that the pilot scheduling method for relieving the influence of pilot contamination in massive MIMO systems is proposed on the basis of ant colony optimization tools, and the available information rates of the systems can be maximized.

The invention discloses a down link space-time scheduling method of a cognitive cellular network. The method comprises the following steps of: step (1), collecting a channel state information vector between a multi-antenna cognitive base station and a single-antenna cognitive mobile terminal, and a channel state information vector between the cognitive base station and a single-antenna master user; step (2), initiating pheromones distributed on each side of a construction graph and heuristic information; step (3), generating an artificial ant; step (4), by virtue of the cognitive base station, calculating a double orthogonal wave beam shaping vector corresponding to the cognitive mobile terminal; step (5), allocating sending power to a data stream sent by the cognitive base station to the cognitive mobile terminal; step (6), determining whether a preset maximal number of iteration times is reached, and if so, stopping and outputting a optimal access set, wherein the maximal number of iteration times is a natural number; and step (7), updating pheromones distributed on all sides in the construction graph and returning to the step (3); and thus completing the down link space-time scheduling.

The invention belongs to the technical field of general control or adjustment systems, and specifically relates to a deviation correction control method and device for shield tunneling posture. The method includes: constructing a deviation correction principle model of a shield machine; the deviation correction principle model includes a deviation correction trajectory curve; determining the deviation correction principle The minimum correction radius of the model; the minimum correction radius of the correction principle model is the curvature radius of the correction trajectory curve; the artificial ant colony algorithm is used to process the preset shield machine parameters to obtain the optimal feature subset; according to the minimum correction radius and the most The optimal feature subset is used to construct the deviation correction mathematical model of the shield machine; based on the deviation correction mathematical model, the control parameters are obtained by optimizing the optimal feature subset through the artificial bee colony algorithm; and according to the control parameters, the tunneling posture of the shield machine is controlled for deviation correction. By introducing the ant colony algorithm, the optimal feature subset can be screened out, and the optimal feature subset can be used as the initial population of the artificial bee colony algorithm, which can improve the solution quality, improve the accuracy of deviation correction, and achieve better deviation correction effect.