95results about How to "Effective establishment" patented technology

The invention discloses a health service robot capable of achieving electroencephalogram detection. The health service robot comprises a robot body, a main control unit, a motion control unit, a binocular vision capture unit, a man-machine interaction unit, an environmental perception sensor unit, a power supplying unit and a medical treatment detection unit; the medical treatment detection unit comprises an electroencephalogram detection device independent of the robot body; the main control unit is connected with the motion control unit, the binocular vision capture unit, the man-machine interaction unit, the environmental perception sensor unit and the medical treatment detection unit through bus communication protocols and serial communication protocols; the power supplying unit is used for supplying power for the main control unit, the motion control unit, the binocular vision capture unit, the man-machine interaction unit and the environmental perception sensor unit. The health service robot is combined with the electroencephalogram detection device, a robot moving technology and a medical treatment detection technology, and therefore the movable and portable properties of the electroencephalogram detection device can be improved to a large extent.

The invention relates to a super-long genome-based variation detection algorithm, a Variation Blast algorithm for short. Under the condition that a long sequence is obtained, large-scale structural variations can be generally detected by comparing a sequence with a reference genome; and because a sequence spanning structural variations can generate part of segments matching a reference sequence, and then by virtue of the comparison between part of the segments of the sequence and corresponding segments of the reference sequence, an accurate point position of the structural variations can be detected, the Variation Blast detects the comparison between every sequence and the reference genome by virtue of a successive comparison method, then all the sequences representing the structural variations are classified and screened, and finally, possible structural variations and respective types thereof are obtained from comparison sites and directions.

The invention relates to an aviation panoramic and inclined photography device, which comprises a nacelle main body, at least two downward-looking cameras and a plurality of inclined cameras, wherein the at least two downward-looking cameras are arranged on the nacelle main body and are arranged in the transverse direction; the shooting regions of the adjacent downward-looking cameras in the at least two downward-looking cameras are partially overlapped. The aviation panoramic and inclined photography device is provided with the at least two downward-looking cameras arranged in the transverse directions; a plurality of downward-looking line images can be obtained after each time of aviation inclined photography; the shooting efficiency can be improved; the flight times can be reduced; the shooting cost is reduced. The at least two downward-looking cameras are matched with a plurality of inclined cameras, so that the side surface veins of urban buildings can be obtained in multiple angles; an urban three-dimensional real-view model can be more effectively and more completely built.

The invention discloses a mobile device-oriented multi-point touch gesture interaction three-dimensional modeling method. The method mainly comprises the steps of initializing a three-dimensional modeling space; defining a three-dimensional modeling operation function set in the three-dimensional modeling method, wherein the function set comprises generation, control and editing function operation subsets, and multi-point touch gesture behavior subsets corresponding to function operations; performing single-finger or multi-finger gesture interaction operation and monitoring on a touch screen supporting multi-point touch; and identifying gesture operations, mapping identified gesture operation behaviors to a three-dimensional modeling function and performing calling. According to the method, the corresponding three-dimensional modeling operation can be performed on a mobile device by combining multi-point touch gestures, so that the shortcomings of finite screen space and inaccurate clicking of the mobile device are overcome; the method has the advantages of quickness in modeling, low learning cost and intuitiveness in use; and a three-dimensional modeling system solution suitable for a mobile platform is given.

The invention discloses a service dynamic process arrangement method based on JBPM. The service dynamic process arrangement method comprises the following steps: firstly, determining a demand range, obtaining a matching template from a QoS (quality of service) template library, and mining and feeding back the corresponding relation between demand and service and specific parameters required by each service; secondly, processing dynamic programming and establishing dynamic binding between the service and the template through a system according to the specific parameters introduced through feedback; thirdly, arranging a process to generate a process template; fourthly, automatically proceeding the process to generate a process instance; fifthly, changing the process, performing process template rewriting on changed contents utilizing a migration algorithm, so as to generate a new process; sixthly, starting a new process instance, and finishing the process; seventhly, combing data in a result page with data saved by the former process. Through the adoption of the service dynamic process arrangement method based on JBPM, a series of works are accomplished by the system according to requirements of a user, the process template is automatically generated for accomplishing core operation, required service can be dynamically changed during processing, and the accuracy and efficiency of the process are guaranteed through the migration algorithm.

The embodiment of the invention provides an LTE network problem regionalization aggregation method and device. In the method, cells in coverage ranges of various base stations are combined by using anazimuth merge algorithm, each analog sector is formed and an azimuth angle of each analog sector is determined, and at the same time, the priorities of various network problems to be solved of each analog sector are determined; after that, a polygon model diagram is drawn according to positions of the base stations and the azimuth angle of each analog sector based on a Thiessen polygon principle,and the priorities of the network problems of each analog sector are mapped to each polygonal region; and finally, various polygonal regions are regionally connected and the regions are ordered, anda plurality of connected regions which are top ranked are used as an LTE network problem aggregation region. Therefore, problem classification can be carried out on different base station building andoptimization requirements, discrete data can be more effectively integrated together to establish a dynamic model, and a more accurate and more efficient reference system is established for network planning and optimization in an LTE network problem aggregation area.

The invention discloses a real-time system based on an LET programming model. The real-time system comprises a real-time kernel accelerator and a real-time executor. The real-time kernel accelerator comprises a time service module for providing time information accurate in a machine cycle, a time trigger task management module for task management of a time trigger, and a time trigger valuation management module for valuing the time trigger. The real-time executor comprises a hardware abstraction layer providing interruption management and hardware accelerator function interfaces, task TCB structure data generated by a task initialization API of a kernel, and the kernel API providing task scheduling and management interfaces. By supporting the task management of the time trigger, time trigger valuation and the time information accurate in cycle, and the purpose of conveniently and quickly developing the real-time system having time semantics and accurate cycle based on LET tasks is achieved.

The invention proposes a Wiener filtering channel estimation method based on superimposed pilot, comprising: firstly, establishing a time domain channel model, pre-estimating the superimposed pilot sequence by using LS to estimate the channel impulse response; secondly, constructing a Wiener filter by using the channel estimation result of LS as the initial value of Wiener filter and using the minimum mean square error as the criterion to improve the estimation performance of channel estimation; then adopting a hard decision detection method to remove the information sequence in order to eliminate the interference of the information sequence on the estimation performance; and finally, adopting an iterative estimation method in order to solve the problem that the pilot power is limited as the estimation performance is improved, and obtaining the optimal channel estimation value when the estimation accuracy requirement is met. The invention may estimate the channel time domain impulse response by using LS estimation based on the channel estimation by using Wiener filtering of superimposed pilots, obtain the channel state information (CSI) under minimum mean square error by optimizingthe estimated value by Wiener filtering, reduce the interference of the information sequence to the estimation performance by removing the information sequence decision value, and solve the problem that the pilot power is limited as the estimation performance is improved through the iterative estimation performed then, thereby improving the channel estimation accuracy overall.

The invention discloses a fast transit charging method for vehicles with multiple benefits based on a credit system. The fast transit charging method for vehicles with multiple benefits based on the credit system comprises the following steps: 1) vehicle information identification is performed when the vehicle enters or leaves a charging area; 2) the vehicle information after successful identification is transmitted to a cloud server; 3) a charging platform matches the vehicle information data on the cloud server, calculates according to a charging rule to obtain the toll fee combining the vehicle charging related data, and sends the fee information to the vehicle owner to prompt the vehicle owner to pay the fee in a limited time; and 4) if the fee is not paid successfully within the payment time limit, the charging platform sends information of penalty payment to the vehicle owner; and if the fee is not paid during a period of default, the transit information is recorded in a dishonesty blacklist. The fast transit charging method for vehicles with multiple benefits based on the credit system can ensure that the vehicle owner pays the fee after a certain period of time while ensuring the rapid transit of the vehicle, therefore, the influence on the transit speed caused by situations such as the expense or pre-stored fee of the account is insufficient is avoided; and the fast transit charging method for vehicles with multiple benefits based on the credit system has various economic and social benefits and has a wide application range.

The invention discloses a method for reducing the data transmission delay, which comprises the steps that network equipment acquires data packet characteristics of a data packet to be scheduled; the network equipment searches a processing core corresponding to the data packet characteristics of the data packet to be scheduled according to a preset corresponding relationship between the data packetcharacteristics and processing cores in a multi-core processor; and the network equipment processes the data packet according to the searched processing core. Therefore, the data packet can be effectively prevented from being processed by the same processing core. The corresponding processing core is selected for processing according to the data packet characteristics, so that the processing coreutilization rate of the multi-core processor is effectively improved, the data packet can respond more timely, and the data transmission and processing speed is improved.

The invention provides a new high-yield cultivation technology for polyporus umbellatus. By using a special cultivation medium, spraying an armillaria nutrient solution after polyporus umbellatus is placed and erecting a small shed, a shade net and a micro-spray device, the germination time of polyporus umbellatus is shortened, the germination rate is increased, the annual optimum growth time is prolonged, the dependency of artificial cultivation of polyporus umbellatus on geographical conditions and climatic conditions is effectively reduced, and the cultivation period is shortened, so that the artificial cultivation technology for polyporus umbellatus is more suitable for large-area popularization.

The invention discloses a two-bee-specie dual queen mixed group construction, and mixed royal jelly and a production method thereof. The two-bee-specie dual queen mixed group construction method includes: S1, selecting an Apis mellifera group or an Apis cerana group as an original bee group; and selecting an Apis cerana comb adjustment group and an Apis mellifera comb adjustment group; S2, putting a sealed sub comb to the original bee group, and allowing bees in the selected sealed sub comb and a sealed sub comb of the original bee group to naturally fly out of the combs; S3, adjusting the proportion of the number of Apis cerana worker bee individuals and the number of Apis mellifera worker bee individuals; and S4, putting an Apis cerana queen and an Apis mellifera queen to the whole bee group, and acquiring an Apis cerana and Apis mellifera mixed group. The Apis cerana and Apis mellifera mixed group can be effectively established, and has two queens of the two bee species; a strong group can be maintained for long time, and respective advantage roles of the Apis cerana and the Apis mellifera can be fully played; various kinds of mixed royal jelly can be produced, the production efficiency of the mixed royal jelly can be improved, and the quality of the mixed royal jelly is ensured.

The invention discloses a method and a device for realizing intelligent beam registration by using network environment context information. The method comprises the following steps: calculating transceiving beam pair information corresponding to a communication link for data transmission according to positions of a base station and a mobile terminal, network environment context information and influence information of a surrounding transmission medium on electromagnetic transmission; judging whether effective communication link information corresponding to the corresponding information is stored in a knowledge graph library or not according to the base station position, the mobile terminal position and the weather information; if so, directly selecting transceiving beam pair information corresponding to a communication link for data transmission, otherwise, obtaining real-time transceiving beam pair information through traditional beam training or reconstructing a communication environment stereotactic diagram to calculate switching beam pair information. According to the method, the beam switching position of the mobile terminal is predicted by using an artificial intelligence theory, so that the switching beam pair is pre-estimated. According to the invention, low-overhead training and efficient beam registration can be realized and a communication link can be established ina mobile communication scene.

The invention provides a transverse microstructure generation method of a unidirectional long fiber reinforced composite material. In the target area where the RVE model needs to be generated, the initial parameters of the RVE model are determined, the regularly distributed fiber position is taken as the initial fiber position, combined with the intersection algorithm between adjacent rows or columns, under the condition that the periodicity of the fiber at the boundary is ensured, a random perturbation method is utilized to generate the RVE with periodic repetitive fiber random distribution.Based on the obtained random fiber position coordinates, the initial position of the micro-pores is determined, and the size and shape of the pores are determined randomly. Finally, the transverse microscopic model of the composites considering the random distribution of the fiber and the micro-pores is established by random perturbation of the position of the pores. The invention considers the reconstruction technology of the transverse microstructure of the unidirectional long fiber composite material, adopts the random perturbation method for the random distribution of the fibers and the pores, and can effectively and efficiently establish the transverse RVE model considering the random distribution of the fibers and the pores.

The invention discloses a fabricated building structure design system based on a BIM technology. The system comprises a central control module. The connection end of the central control module is connected with a project engineering module, a personnel login module and an administrator module. The connecting end of the project engineering module is connected with a sub-engineering module; the sub-engineering module comprises an information extraction module and a storage module; the connecting end of the central control module is connected with a personnel login module and a personnel communication module; the connecting end of the central control module is further connected with a personnel information confirmation module used for verifying the personnel login module. Therefore, the modules cooperate with each other. Login information of internal personnel can be effectively managed, so that a required building configuration can be effectively established in time according to the information, storage and modeling modification again are facilitated, information exchange discussion can be conveniently carried out in a centralized manner, and thus the building configuration is more perfect and the configuration design is more efficient.

The invention relates to the field of microorganism animal cells, in particular to a liver cancer cell system from liver cancer portal vein tumor thrombus of human and a system establishing method thereof. The invention adopts the following technical scheme that the liver cancer cell system from liver cancer portal vein tumor thrombus of human is preserved in the China Center for Type Culture Collection (CCTCC) and has a preservation number of CCTCCNO: C200814. The system establishing method of the liver cancer cell system from liver cancer portal vein tumor thrombus of human comprises the following steps: (1) acquiring cancer embolus cells and carrying out a primary culture on the embolus cells; (2) carrying out a clone expansion culture on a tumor cell island; and (3) carrying out a continuous culture on tumor cells. The invention has the advantages that CSQT-1 cells are obtained from the portal vein tumor embolus and have incomparable advantages on the forming mechanism and the tendency growing mechanism of the portal vein tumor embolus than other existing liver cancer systems. The cell system has wide prospect of application, is a sub-hypotetraploid displayed by the karyotype analysis and accounts for 58 percent of the total.

The invention relates to an important service water pump intelligent diagnosis method and device, and the method comprises the steps: S1, collecting vibration signals of an important service water pump under different working conditions, and obtaining sample points of the vibration signals containing different fault states; s2, carrying out wavelet threshold denoising preprocessing on the sample points; s3, establishing a fault game model to provide an interactive environment of observation, action and award obtaining for a fault diagnosis agent; s4, dimensionality reduction and feature extraction are carried out on the multiple hidden layers through a stacked self-encoding neural network, initial parameters are optimized through a BP neural network, and a deep neural network model with feature extraction and mode recognition functions is obtained; and S5, outputting a diagnosis result. According to vibration signals in different states, the deep neural network model can be effectively established by designing a fault diagnosis game environment and combining reinforcement learning and deep learning, intelligent diagnosis is realized, and a good diagnosis effect is achieved.

The invention discloses a federal learning model optimization method and device. The method comprises the following steps: performing model fusion on a local model of each data terminal and a first model obtained by federal learning model parameters in sequence to generate a corresponding initial fusion model; according to a model performance test result of each initial fusion model obtained in the model fusion, determining the weight value of each initial fusion model for each data terminal, and then carrying out comprehensive processing; obtaining the comprehensive weight value of each initial fusion model, and the carrying out sorting; and carrying out model fusion on a set number of initial fusion models which are sorted in the front at a main server side, and obtaining an updated federal learning model, so that, in the federated learning training process, the access of the local model of each data terminal to the user data is reduced, meanwhile, the federated learning model is effectively and quickly established, and then the security of the privacy data of the user is protected.

The invention provides an axial mode recognition method for a structure. The axial modal identification method comprises the following steps: firstly, establishing a finite element model of a structure; setting constraint conditions and carrying out modal analysis; then reading effective quality data of each order of mode from a generated result file, defining and calculating an axial quality ratio function (EMP) of each order of mode, performing preliminary screening, then reading corresponding node displacement data, defining and calculating an axial motion node proportion (ANP) of the corresponding mode, and finally classifying and identifying the structure modes. According to the analysis and recognition method, a high-degree-of-freedom complex finite element model composed of hundredsof thousands of units can be processed, modal results can be accurately classified and recognized in dozens of or even hundreds of orders of modes, and the method is beneficial for improving the simulation efficiency, shortening the simulation period and improving the guiding effect of simulation analysis on actual production.

The invention provides a mechanized high-standard autumn land preparation method for a black soil farmland in Northeast China and relates to an autumn land preparation method for the black soil farmland, aiming at solving the problems that an existing autumn land preparation method cannot be suitable for a cold region of Northeast China, water storage and soil moisture conservation capabilities of cultivated farmland are poor and the volume weight of the soil is not suitable. The method comprises: step 1, selecting land preparation time; step 2, selecting a land preparation machine; step 3, carrying out mechanical stubble ploughing; step 4, deeply plowing in autumn; step 5, deeply loosening in autumn; step 6, harrowing; step 7, ridging in autumn; and step 8, suppressing. According to the method provided by the invention, the soil moisture conservation capability and the stress resistance of the soil of a plough layer are commonly relatively strong, zone spacing tillage is realized and structural features of the plough layer are obvious. The soil of the plough layer is loose and the hardness is smaller than 5kg/cm<2>; and a plough pan is relatively compact and the hardness is 15kh/cm<2>-25kg/cm<2>. The mechanized high-standard autumn land preparation method provided by the invention is used for the field of agricultural cultivation.

The invention discloses a drilling device and method for pedicle of vertebral arch with force feedback. The problems in the prior art are solved so that pedicle of vertebral arch is not easily broken, the internal fixation strength is not reduced and pedicle cortex is not fractured. The drilling device is reasonably arranged and provides a reference for accurate implantation of a pedicle screw. The beneficial effect is provided for effective establishment of a pedicle screw channel. The technical scheme is characterized in that the drilling device comprises a drilling rod; the head of the drilling rod is provided with a drilling bit; the drilling bit is provided with a force sensing resistor; the tail of the drilling rod is provided with an oscillating circuit; the oscillating circuit penetrates through a lead wire arranged in the drilling rod to be connected with the force sensing resistor; an alarm lamp is arranged in an annular oscillating circuit; the tail of the drilling rod is arranged in a handle; and the handle is detachably connected with the drilling rod.