42results about How to "Address dynamics" patented technology

The invention discloses a cloud computing-based data sharing and exchange model and method. The model package includes: a data sharing service module to realize the sharing of distributed heterogeneous data resources; a data exchange service module to realize the exchange function of heterogeneous data; a management service module , to realize shared exchange and system management; enterprise service bus, to realize service registration and management; front-end exchange library, to realize the intermediate storage logical information library established for information exchange; front-end switch, to realize the unified exchange entrance and exit of exchange nodes Function. Methods By building a SaaS-based data sharing and exchange service system, the data stored in the business database is shared and exchange request submission and approval services are provided; the enterprise service bus is used to manage the service in a unified manner, and the exchange service business process is modeled with the help of management services Realize the dynamic combination of cross-business services; use the front-end exchange library to perform exchange storage and forwarding, and push it to the target node through the front-end processor.

The invention provides a dynamic password authentication system which comprises a system server (1) used for storing system information and identifying an identity password, and an authentication password generator (2) used for generating the identity password. The system server (1) comprises a system interface (11); a system database (13); an authentication module (12) used for reading the user identity password and an additional code submitted by the system interface (11) and customizing different generation modes based on different parameters written by users in the authentication password generator (2). The authentication password generator (2) comprises an identity password register (24), a clock (23), a password generating module (22), a key input module (25) and a display module (21); the authentication password generator (2) adopts the X arithmetic which is the same as the system server (1) to generate the identity password; the X arithmetic can be different in each authentication password generator (2); the identity password is a numeric string.

The invention relates to a low noise GPS (Global Positioning System) carrier wave tracking method based on an RLS (Recursive least square filter). The low noise GPS carrier wave tracking method comprises the following steps of: measuring an instantaneous phase difference of a local carrier wave and a tracking satellite by a carrier wave tracking loop by utilizing a table look-up type second quadrant arc tangent phase discriminator; introducing the RLS to filter measurement noises; meanwhile estimating a frequency difference according to phase difference variation; utilizing the frequency difference and the phase difference as frequency discrimination input and phase discrimination input of a loop filter with a second order lock frequency loop assistant in a three-order phase locking loop; filtering by the loop filter to output a carrier wave control adjustment variable with high precision and low noise, and correspondingly adjusting carrier wave NCO (Numerical Control Oscillation) to control the local carrier wave so that a receiver keeps phases and frequencies of the local carrier and a tracking satellite carrier wave consistent. In the invention, the low noise GPS carrier wave tracking method based on the RSL ensures that the GPS carrier wave tracking loop can work stably under the condition of low signal to noise ratio and certain dynamic state, keeps the phase not to overturn or skip cycles and ensures the carrier wave tracking precision.

The invention discloses an efficient and fair dynamic spectrum allocation method which is applicable to interactive cognitive radio networks and comprises the following steps: on the basis of cooperative differential game theory, dividing the interactive cognitive radio network into different alliances and establishing an alliance-competition type architecture; setting that the interactive cognitive radio network has a plurality of cognitive users as well as the objective function and the payoff function of each cognitive user; and solving the objective function and the payoff function. The invention can effectively relieve the shortage of spectrum, improve the utilization ratio of spectrum, and take account of the fairness and the efficiency of spectrum use.

The invention discloses a reconfigurable multi-source data importing method in an ERP system. The reconfigurable multi-source data importing method includes the following steps that importing templates are configured according to data needing to be imported; the data which are represented in an EXCEL format, or a CSV format, or an XML format or other formats and provided by a user are converted into intermediate processing files through a standard interface; the corresponding importing templates are matched according to the types of the imported data; information after the matching is carried out is updated according to matching information; updating of associated information is finished according to associated information configuration and importing mode configuration; according to configured checking specifications, the imported data are checked item by item; after passing the check, the data enter the intermediate processing process of data to form an intermediate transition table of the imported data; the data in the transition table are imported into a target table according to the configured data importing mode. The multiple data importing modes are provided in a reconfigurable form, the flexibility and the dynamism needed by data importing are achieved, and a checking rule base provides data integrity and validity rules in different modes.

The invention discloses a control method and system for deadbeat current prediction of a permanent magnet motor without a position sensor, belonging to the technical field of motor control. The invention solves the problems of large size and weight of the system, high maintenance cost and low current prediction accuracy when motor parameters change in the existing deadbeat current prediction method. The present invention uses the deadbeat current prediction equation including the feedback gain matrix as an adjustable model, constructs a new adaptive observer, and deduces the conditions that can ensure the stability of the system according to Popov's super-stability theory; not only the adjustable The model predicts the command voltage of the next sampling cycle to improve the dynamic performance of the system, and by increasing the feedback gain, the stable area of ​​the estimated speed and position angle information is improved, and the robustness of the system is improved. Combining dead-beat current prediction and position sensorless control into one observer form simplifies the motor control algorithm. The invention can be applied to the control of deadbeat current prediction.

The invention discloses an adaptive service combination method which is applied to a multi-robot Ad Hoc network and used for evaluating a selected service combination through fuzzy trust-level evaluating and optimizing the selected service combination. In the process of searching for a service combination plan, multiple solution ways can be possibly found; and at the moment, good and bad of the resolutions need to be judged according to an adaptation criterion to achieve service optimization; in the adaptive service combination mode, agent robots are used for organizing and managing various resources and services in a network environment and being in charge of selecting a service combination strategy related to a specific environment from a stored service combination strategy set to achieve adaption of the service combination; meanwhile, a rule is dynamically generated by adopting a machine learning method, rule inference is conducted by using a fuzzy inference technology, and then thedynamic level of the service combination is achieved; on the basis, a fuzzy synthesis mechanism for the trust level and a fuzzy evaluation algorithm for the trust level are provided, and a machine learning-based fuzzy trust-level evaluating system (FTEs) is achieved; and finally, the service combination is evaluated by applying a reinforcement learning method, feedback is used for judging the service combination mode adopted in the next planning process, and therefore the evaluation effect is more ideal.