10 results about "Prey predator" patented technology

A bird feeder and method of feeding wild birds are disclosed herein which thwarts squirrels, rodents, and other pests from accessing the bird feed. The bird feeder comprises a shutter mechanism which slides down a seed container to block access to the bird feed in an implementation. The shutter mechanism secures to the bottom of the seed container to maximize the containment volume of the feeder and to make cleaning the feeder easier. The shutter mechanism has adjustable spring force settings so that a user can set the spring force according to the type of predator. In an implementation, the shutter mechanism is rigged with a constant force spring which prevents partial deployment of the shutter.

The invention provides a secretary bird optimization algorithm for swarm intelligent optimization, and relates to the field of optimization algorithms, the algorithm has excellent optimization ability, and is mainly divided into two key stages, namely an exploration stage and a development stage: in the exploration stage, the secretary bird optimization algorithm performs the processes of secretary bird prey search, prey physical exhaustion, prey attack and the like; and convergence of the algorithm is rapidly realized. In the development stage, the algorithm adopts two strategies that secretary birds escape from the predators, namely escape by means of environment camouflage and flying or running, so that the difficulty of falling into a local optimal solution is effectively avoided. The method is unique in that hunting and survival behavior processes of secretary birds are used for reference, so that the algorithm has the characteristic of easy understanding, and the optimization capacity is remarkably improved. The secretary bird optimization algorithm can be flexibly applied to different scenes, and a feasible and effective optimization scheme is provided for solving practical problems.

This invention belongs to the field of oilfield development technology and discloses an electromagnetic monitoring fracture parameter identification method based on an improved marine predator algorithm. This invention optimizes and implements the IMPA algorithm, including improved population initialization, optimized optimization parameters, and adaptive boundary condition constraints. The improved population initialization uses a Sobol sequence to replace the traditional non-uniform random distribution population initialization. Parameter optimization proposes a staged optimization with differential partitioning to replace the traditional three-stage optimization of the MPA algorithm. Adaptive boundary condition constraints aim to discard local optimal solutions caused by parameter boundaries. A hydraulic fracturing single-fracture length model and an azimuth model are constructed. Electromagnetic monitoring involves supplying power to the fracturing wellbore and measuring the potential difference on the ground. The model forward modeling calculates the potential difference anomalies observed at all surface measuring points under the constructed single-fracture model, achieving precise identification of the single-fracture length and azimuth, thereby guiding the evaluation of hydraulic fracturing effectiveness.

Duck nesting container (10, 36) comprising a substantially tubular, light- and air-permeable shell (12, 36) enclosing a nesting hollow, with a preferably front-end access opening (20) and preferably a tongue-shaped projection (26) extending from a bottom edge (22) of the access opening (20) as an entry or landing ramp. To improve protection against nest predators, especially birds of prey, a projecting protective shield (30) extends from an upper edge (28) of the access opening (20).

Provided is an evaluation apparatus comprising a prediction unit that predicts, based on a feature quantity of a prey, a feature quantity of a predator that preys upon the prey, wherein the evaluation apparatus estimates an evaluation value of the prey based on a result obtained by inputting the feature quantity of the prey to the prediction unit. The prediction unit may have a prediction model having learned, by using learning data including a set of the feature quantity of the prey and the feature quantity of the predator that preyed upon the prey, the feature quantity of the predator that is available as an evaluation value of the prey. The evaluation apparatus may comprise an estimation unit that estimates an evaluation value of the prey by using prediction of the feature quantity of the predator by the prediction unit.

The present invention discloses a prediction method, device, storage medium, i.e., computer equipment, for the stability of a balance point, which relates to the biological field, and is mainly capable of improving the prediction accuracy of the stability of a balance point of a predator-predator community. The method includes: obtaining target attribute data corresponding to the predator-predator community to be predicted; determining the first fractional order growth function corresponding to the predator and the second fractional order growth function corresponding to the predator in the predator-predator community; based on the first fractional order growth function and the second fractional order growth function, determining the first number corresponding to the predator and the second number corresponding to the predator when the predator-predator community reaches a balance point, and determining a stability function matrix; judging whether the balance point of the predator-predator community is stable according to the first number, the second number, the stability function matrix, and the target attribute data. The present invention is suitable for predicting the stability of a balance point of a predator-predator community.

The application discloses a kind of based on predator mechanism's no navigation structure group confrontation method, including steps Step1.Acquire no navigation structure group information;Step2.Analysis no navigation structure group movement model;Step3.Develop predator movement model;Step4.Predator implements the destruction to group structure;Step5.Determine confrontation effect;The above-mentioned method of the application describes the communication characteristics and cooperative behavior characteristics of no navigation structure group by analyzing fish school emergence mechanism and movement model, and a corresponding predator model is designed accordingly, and the cohesion and centripetal property of no navigation structure group are destroyed by the predator, to realize the effective confrontation to the whole no navigation structure group.The predator model proposed in the application is simple, can realize the effective confrontation to no leadership structure group with point-to-surface, and has the advantages of high confrontation efficiency ratio.

The present invention discloses a nearshore ecological environment safety early warning and dynamic process analysis system and method, which relate to the field of data processing. The present invention deploys sensors in the nearshore environment, collects current nearshore pollution data through the sensors, and collects population size data of predators and prey in the nearshore ecological environment based on the sensors and satellite remote sensing; detects whether the current predator population size and the current prey population size are within a reasonable range; and determines whether to issue an alarm; collects historical pollutant concentration data, and constructs a trend compliance model for pollutant concentration changes over time; constructs a nearshore ecosystem dynamics model; obtains predator population size data and prey population size data at future moments based on current nearshore environment data and the nearshore ecosystem dynamics model, detects whether the predator population size data and the prey population size data at future moments are within a reasonable range, and determines whether to issue an alarm.

The invention discloses a method for constructing food-grade Janus liquid drops based on interaction of a non-reciprocal predator and a prey. The method comprises the following steps: firstly, respectively taking a zein solution or a sodium alginate solution as a water phase, and dispersing in an oil phase to prepare single-phase liquid drops; then, mixing the two incompatible liquid drops under the action of controlled external force, and driving the zein liquid drops and the sodium alginate liquid drops to generate directional combination by utilizing predator-prey interaction induced by interfacial property difference between the liquid drops, so as to construct the food-grade Janus liquid drops. Effective control on the yield of the food-grade Janus liquid drops is realized by regulating and controlling the quantity ratio and the particle size ratio of the zein liquid drops to the sodium alginate liquid drops and the molecular weight of the sodium alginate. The construction method of the food-grade Janus liquid drops is easy to operate and high in yield, and has good application prospects in the fields of food, medicine, cosmetics and the like.