33results about How to "Feasible solution" patented technology

A method for storing an address of a network anchor point to a network server is provided The provided method includes the following steps: a terminal initiates an attach request or a bearer establishment request, and a network selects a network anchor point; and when the network anchor point assigns a first bearer context to the terminal, or a first connection is established between the network anchor point and the terminal, the network registers an address of the network anchor point to a network server. A method for deleting an address of a network anchor point from a network server is also provided, which includes the following steps: when a terminal or an entity in a network initiates a delete bearer request, the network instructs a network server to delete an address of a network anchor point that has been registered to the network server if the network anchor point no longer serves the terminal; and the network server deregisters the address of the network anchor point. A communication system is further provided.

The invention provides a vehicle spare part sales volume forecasting method and system based on a unified dynamic integration model and a meta-heuristic algorithm. The method comprises the steps thata database is established to store data needed for forecasting the vehicle spare part sales volume, and the sales volume of various vehicle spare parts is comprised and is called as a forecasting variable; a data acquisition module is connected with the database and the vehicle spare part sales volume forecasting system to acquire the needed forecasting variable, and a number of parallel typical forecasting methods are used for forecasting to acquire forecasting results corresponding to various forecasting methods; furthermore, various forecasting results are stored, and a unified dynamic integrated model is established; the meta-heuristic algorithm is used to optimize the forecasting model coefficients; the acquired forecasting model is stored in a vehicle spare part sales volume forecasting application system; and a spare part sales volume forecasting result is generated after the corresponding vehicle spare part sales volume data are input. According to the invention, the model which is suitable for forecasting various vehicle spare parts is found; the characteristics of high optimization precision and the like of the meta-heuristic algorithm are used; and the vehicle spare partsales volume forecasting precision is effectively improved.

The invention discloses mixed municipal sewage and fecal sewage A2/O-biomembrane nitrogen and phosphorus synchronous removing device and method thereof. In the device, a second aerobic tank is connected with an anoxic tank through a pipeline and a mixed-liquid reflux pump; a sedimentation tank is connected with an anaerobic tank through a pipeline and a sludge reflux pump; and suspended filling materials are dispersed into a first aerobic tank and the second aerobic tank and are three-dimensional hollow light porous porcelain granules. By filling the suspended filling materials into an aeration tank of the traditional AAO (Anaerobic, Anoxic and Oxic) technology, carriers of an attaching and growing surface of microorganism are provided, biomass in the aeration tank is increased, processing ability of waste water is improved and sewage bulking is overcome, and attached phases and suspended phases simultaneously exist in the aeration tank to sufficiently exert superiority. On the premise that the volume of a reactor is not increased, the invention intensifies a nitration generating condition, improves the function of removing nitrogen and phosphorus of the traditional active sludge method technology, solves the problem of sludge age contradiction of the traditional AAO technology in a nitrogen and phosphorus removing process and has good water processing effect.

The invention relates to a multivariable interval control method for a greenhouse environment system, is mainly applied to a multivariable control system for greenhouse production and replaces a traditional point control target with an interval control target through relaxing target control precision of environment factors. The method comprises steps that 1), controller parameters are initiated, and greenhouse environment factor control target intervals are set; 2), the environment factors such as indoor humiture and CO2 concentration are acquired through a sensor; 3), the acquired environment factors are compared with those of a controlled target control interval, and control deviation can be acquired by employing a control deviation processing algorithm; and 4), feedback control is carried out by the controller according to control deviation, the larger control deviation, the stronger the control effect is, through adjustment carried out by an actuating structure, the greenhouse environment multivariable interval control target is realized. According to the method, not only can a problem of no-solution limit caused by strong coupling among the factors of the greenhouse environment be effectively solved, but also wide freedom is provided for controller economy optimization.

Systems and methods of numerically simulating airflow within porous materials are disclosed. Engineering product (e.g., car seat) represented by a finite element analysis model containing in part porous material with permeability. In each solution cycle of a time-marching simulation, each of the elements of porous material is evaluated with airflow in conjunction with the traditional mechanical response. Each element's volume change results into different pore air pressure hence a pressure gradient, which in turn is used for airflow calculated in accordance with a fluid seepage law that depends upon permeability of the porous material. Therefore, a more realistic simulation of structural behavior of porous materials can be achieved. The volume change and pressure of each element of porous material is evaluated using ideal gas law. A general form of Darcy's law includes user control parameters is used for evaluating airflow based on the pressure gradient and permeability.

An antenna system and a method for reporting enhanced Reference Signal Receiving Power (eRSRP) of the same are provided. According to an embodiment of the present invention, the method for reporting eRSRP includes: transmitting, by an evolved Node Base (eNB), different reference signals to different transport points being distributed; measuring, by a user equipment (UE), eRSRP of the different transport points; and reporting, by the UE, the measured eRSRP of the different transport points to the eNB. Compared with the prior art, the eNB can obtain channel information of path loss of each transport point, to fundamentally solve the problem of unbalanced power, and can perform other optimization operations based on the information to improve the system throughput and other performance.

A memory unit for handling data memory references of a multi-threaded processor with interleaved inter-thread pipeline in emulated shared memory architectures, includes a step cache defining associative cache memory array where data stays valid till the end of ongoing step of multithreaded execution, the memory array incorporating a plurality of cache lines with data fields, each line containing a data field for address tag and data field thread id of the first thread referring to a data memory location specified by the address tag, a scratchpad defining a memory buffer for storing internal data of multioperations, the buffer including a single data field for each processor thread, the memory unit configured to access the step cache for a cache search and scratchpad for retrieving and/or storing internal data at different clock cycles and different stages of the processor pipeline during multioperation execution involving data memory reference by the processor.

The invention discloses a courier group path navigation method, belongs to the technical field of path navigation, and aims to solve the multi-point and multi-target navigation problem of logistics distribution. Due to the regionality of the logistics distribution point, the method enables the distribution path length of each courier to be as short as possible and approximately equal by reasonablyallocating a plurality of courier, so that all packages can quickly and effectively be received by the users as much as possible. Aiming at a plurality of indexes of group path navigation, the methodprovides a series of strategy improvements including a mean value rebound-state transition formula, the length of the path of each courier is manually controlled through a rebound warehouse point, sothat the length is shorter, and the uniformity is better; a multi-target assessment mode which enables the model to balance a plurality of different targets and adapt to actual model requirements; And a mode of searching different pheromone updating strategies at different stages by the ant colony. By adopting the method, the distribution paths of multiple couriers can be navigated in a unified manner, so that the labor cost is effectively reduced, and the distribution time is shortened.

The invention provides an econometrics and heuristic intelligence combined automobile sales prediction method and system. The method comprises the following steps of: storing data required by automobile sales prediction through establishing a database, wherein data comprises economic indexes, brand automobile sales and automobile sales, which are called as prediction variables; connecting the database and the automobile sales prediction system through the data so as to obtain required prediction variables, and verifying structural relationships between the variables so as to obtain endogenousvariables with a long-term equilibrium and causal relationship; establishing a vector error correction model for the endogenous variables; optimizing coefficient of a prediction model by utilizing a heuristic intelligence algorithm; and finally storing the obtained prediction model into a sales prediction application system, and generating a sales prediction result after inputting corresponding economic variables, brand automobile sales data and former-year automobile sales data. According to the method and system, a model suitable for long-term prediction is found, and the characteristic of high precision of the heuristic intelligence can be utilized at the same time, so that the automobile sales prediction precision is effectively improved.

A data fusion based spaceborne distributed integrated aperture microwave radiometer system comprises a data fusion processing subsystem and at least N*M completely identical integrated aperture microwave radiometer subsystems, and N and M are decided by a ratio of the spatial resolution in the directions along and crossing the orbit of the whole system to the spatial resolution in the directions along and crossing the orbit of the data fusion processing subsystem; all the integrated aperture microwave radiometer subsystems are all arranged in the same orbit height, and projection grids of theintegrated aperture microwave radiometer subsystems in the ground are arranged and overlapped regualarlly; and each integrated aperture microwave radiometer subsystem obtains a brightness temperatureimage of the ground and records the brightness temperature image as an original brightness temperature image; and the data fusion processing subsystem determines a brightness temperature value of thewhole system in the projection grids, recorded as refined grids, of the ground in a data fusion manner according to original grid overlap relation of each integrated aperture microwave radiometer subsystem, namely, determines high-resolution brightness temperature data after data fusion. The high-resolution brightness temperature data is improved by N and M times in the directions along and crossing the orbit.

The invention discloses an image shadow removal method based on model driving. The method comprises the following steps: 1, constructing a new adaptive transformation shadow illumination model; 2, constructing a variation model of a shadow-free image according to the shadow illumination model; and 3, constructing an efficient model-driven iterative algorithm to solve the variational model so as to obtain a reconstructed shadow-free image. According to the method, the advantages of interpretability of a traditional model driving scheme and high efficiency of a data driving scheme can be fully combined, an image shadow removing algorithm based on shadow image illumination model driving is constructed, and partial steps in the algorithm are replaced by the convolutional neural network; therefore, shadow removal with high operation efficiency, good removal effect and high interpretability can be realized.