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310 results about "Discrete particle" patented technology

Discrete element method. The discrete element method (DEM): is intended for modeling events in which large numbers of discrete particles contact each other; models each particle with a single-node element that has a rigid spherical shape, which may represent an individual grain, tablet, shot peen, or other simple body;

Rotary process for forming uniform material

A process is provided for issuing material from a nozzle in a rotor rotating at a given rotational speed wherein the material is issued by way of a fluid jet. The material can be collected on a collector concentric to the rotor. The collector can be a flexible belt moving in the axial direction of the rotor. The collected material can take the form of discrete particles, fibers, plexifilamentary web, discrete fibrils or a membrane.
Owner:DUPONT SAFETY & CONSTR INC

Textured surface coating for gloves and method of making

There is provided, in accordance with the principles of the present invention, a glove having a textured surface or textured foam coating produced by embedding a layer of discrete particles, such as a salt, into a previously formed liquid layer, gelling or curing the layer and dissolving the discrete particles to leave a textured or textured foamed surface.
Owner:ANSELL HEALTHCARE PRODS

Group and place recommendation method based on location and social relationship

The invention discloses a group and place recommendation method based on locations and social relationships. The group and place recommendation method comprises the steps of: acquiring user check-in information in an LBSN, removing places and user data with poor effectiveness, and finally acquiring check-in data of users; utilizing a Pearson correlation coefficient, measuring check-in similarity based on common check-in data of the users, calculating a check-in similar degree among the users, and establishing a user check-in similar degree network; identifying different communities by utilizing a discrete particle swarm optimization method according to the user check-in similar degree network; and acquiring a friend list according to accounts of a user social network, forming social adjacent relationships of users in communities, finally generating a social group, recommending the social group to target users and recommending places to the target users by adopting the collaborative filtering recommendation method. The community finding method is simple and easy to operate, and the community dividing speed is fast. By adopting the method of combining the social group with place recommendation, the complexity of the method is reduced, and the recommendation precision is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM

Fertilizer composition containing micronutrients and methods of making same

ActiveUS20110214465A1Prevent and reduce chemical/physicalBiocideCalcareous fertilisersDiscrete particleNutrient
A fertilizer composition including a base fertilizer granule with a barrier coating and one or more micronutrients. The base fertilizer material is coated with a barrier coating, and then a coating of one or more micronutrients. Alternatively, the base fertilizer material is coated with a barrier coating having discrete particles of micronutrients dispersed throughout. The barrier coating acts to physically and chemically isolate the micronutrient particles from the underlying fertilizer composition such that more of the micronutrient is available to the soil solution, and ultimately to the root zone of the plant.
Owner:THE MOSAIC COMPANY

Composition and delivery system

InactiveCN105658251AAvoid unwanted effectsDelayed Release DistributionSenses disorderNervous disorderMedicineInjectable scaffold
An injectable agent delivery system comprising a composition that comprises: an agent for sustained delivery located within discrete particles,and an injectable scaffold material comprising discrete particles which are capable of interacting to form a scaffold, and uses thereof.
Owner:勒柯特生物有限公司

Elevator group control energy-saving scheduling method

The invention belongs to the technical field of elevator group control, and relates to an elevator group control energy-saving scheduling method. The method comprises the following steps: (1) determining a traffic flow mode; (2) establishing a virtual simulation environment for elevator operation; (3) carrying out curve fitting on each data array respectively, and establishing the traffic flow mode, namely, an optimal energy-saving point knowledge base; (4) choosing the average elevator waiting time, congestion degree and energy consumption as objective functions of the multi-objective optimization problem study on an elevator group control system, and establishing an evaluation function; (5) generating elevator traffic flow information by simulation or collecting the actual traffic flow information; (6) determining the traffic flow mode, and searching the evaluation function parameters matched with the type of the traffic flow in a parameter library of the knowledge base as well as an evaluation function expected value matched with the traffic flow mode; and (7) solving a optimal elevator scheduling scheme by a discrete particle swarm optimization method. The proposed scheduling method can realize energy saving effectiveness in the elevator group control system.
Owner:TIANJIN UNIV

Intelligent power distribution network fault recovery method based on multi-target discrete particle swarm

InactiveCN104112165AMeet real-time operation needsForecastingRecovery methodIslanding
The invention discloses an intelligent power distribution network fault recovery method based on a multi-target discrete particle swarm. The method comprises the following steps: 1), initializing parameters; 2), initializing a position and a speed of a discrete particle swarm optimization algorithm, and according to intelligent power distribution network island dividing and load recovery algorithms, calculating each fitness value fitness k relative to a multi-target function for each particle; 3), based on a fitness control concept, performing classification of a control population and a non-control population; 4), according to a corresponding updating rule, updating a particle position and a particle speed in the control population; 5), performing dynamic exchange between the control population and the non-control population; 6), detecting whether a maximum iteration frequency is reached, and if the maximum iteration frequency is reached, skipping to step (4), and otherwise, entering step 7); and 7), outputting a final optimization result.
Owner:ZHEJIANG UNIV OF TECH

Intelligent logistics distribution and delivery based on discrete particle swarm optimization algorithm

The invention discloses intelligent logistics distribution and delivery based on a discrete particle swarm optimization algorithm and aims at scheduling the path of a transportation vehicle so as to save the transportation cost. A coding mode and an operator based on the set and the probability are introduced on the basis of a framework of a standard particle swarm optimization algorithm, the particle swarm optimization algorithm which is originally suitable for a continuous space can be introduced into a discrete combined optimized space, so that the problem that the path of the vehicle is scheduled is solved and the advantages of high operation efficiency, strong optimization capacity, strong robustness, and the like endowed by the traditional particle swarm algorithm can be maintained. In addition, by using heuristic information to construct the positions of particles and introduce a local operator search, features of the problem and information contained in the data are utilized, and thereby the solving result of the algorithm is further enhanced. By adopting normalization weighting and decision idea to deal with the target, the transportation path is strived to be shortest while the number of transportation vehicles are required to be minimum, therefore, the transportation cost of logistics distribution and delivery businessmen can be reduced to the maximum extent.
Owner:SUN YAT SEN UNIV

Task allocation method for formation of unmanned aerial vehicles in certain environment

The invention discloses a task allocation method for formation of unmanned aerial vehicles in a certain environment, belonging to the technical field of unmanned aerial vehicles. The task allocation method comprises the following steps of determining a coding sequence of a task allocation algorithm; determining a preponderant function of the unmanned aerial vehicles formed to execute a task; determining a speed update formula and a position update formula of a discrete particle swarm optimization; determining the flow of a tabu search; and determining the flow of hybrid optimization. According to the task allocation method for the formation of the unmanned aerial vehicles in the certain environment, the continuous particle swarm optimization is discretized, the algorithm is simply and conveniently operated on the premise that optimizing property can be guaranteed, and the effectiveness of the discrete particle swarm method is indicated through simulation. According to the task allocation method for the formation of the unmanned aerial vehicles in the certain environment, a supplement strategy of the tabu search algorithm is provided, and the local optimizing capacity of the algorithm is enhanced when the inertia weight [omega] of the particle swarm optimization is larger, i.e. the particle swarm embodies stronger variety, so that the original two algorithms realize complementing each other's advantages, the searching performance can be improved, and the judgment can be verified in multiple groups of simulated tests.
Owner:BEIHANG UNIV

Multi-unmanned aerial vehicle cooperation sequential coupling task distribution method of mixing gravitation search algorithm

The present invention provides a multi-unmanned aerial vehicle cooperation sequential coupling task distribution method of a mixing gravitation search algorithm, and relates to the unmanned aerial vehicle cooperation task distribution field. The method comprises: a multi-unmanned aerial vehicle cooperation task distribution model is constructed in the time coupling constraint, a fitness function and a task constraint are obtained, in the gravitation search algorithm based on genetic operators, the individual discretization coding and the population are initialized, the individual is decoded, and the fitness function is employed to calculate the fitness and perform individual update. Because the genetic operators are added in the gravitation search algorithm, the multi-unmanned aerial vehicle cooperation sequential coupling task distribution method of the mixing gravitation search algorithm has good general applicability, the number of times of long-term simulation tests and data statistics constructs a more improved database to allow the model to be more improved; and compared to the discrete particle swarm algorithm, the mixing gravitation search algorithm can be rapidly converged, the searching optimization result is optimal, the iteration process is brief, and the convergence speed is fast.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Super-wide band shielding materials

Shielding materials are fabricated from a new three-layered particle having a core, a metal layer, and a conductive polymer layer. The new particles are blended into a polymer matrix and processed in the absence or under the influence of a magnetic field to form single-layered coatings and freestanding films and sheets. The magnetically processed materials yield a conductive network of particles rather than discrete particles randomly disposed within the polymeric medium.
Owner:FRACTAL SYST INC
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