2662results about How to "Avoid complexity" patented technology

Host computer systems dynamically engage in independent transactions with servers of a server cluster to request performance of a network service, preferably a policy-based transfer processing of data. The host computer systems operate from an identification of the servers in the cluster to autonomously select servers for transactions qualified on server performance information gathered in prior transactions. Server performance information may include load and weight values that reflect the performance status of the selected server and a server localized policy evaluation of service request attribute information provided in conjunction with the service request. The load selection of specific servers for individual transactions is balanced implicitly through the cooperation of the host computer systems and servers of the server cluster.

A front feed reflector antenna with a dish reflector has a wave guide is coupled to a proximal end of the dish reflector, projecting into the dish reflector along a longitudinal axis. A dielectric block may be coupled to a distal end of the waveguide and a sub-reflector coupled to a distal end of the dielectric block. A shield is coupled to the periphery of the dish reflector. A subtended angle between the longitudinal axis and a line between the focal point and a distal periphery of the shield is 50 degrees or less.

The invention discloses a speech emotion recognition method based on a long short time memory network and a convolutional neural network. According to the method, a speech emotion recognition system based on LSTM (long short time memory network) and CNN (convolutional neural network) is constructed; with a speech sequence as input of the system, the LSTM and the CNN are trained by virtue of a back propagation algorithm and parameters of the networks are optimized, so that an optimized network model is obtained; and by virtue of the network model which is trained, the newly inputted speech sequence is emotionally classified into six emotions, namely being sad, being happy, being disgusted, being fearful, being scared and being neutral. The method, which takes two network models, namely the LSTM and the CNN, into comprehensive consideration, avoids cumbersome artificial selection and characteristic extraction, and the accuracy of emotion recognition is enhanced.

The invention relates to the technical field of solar energy thermal power generation and discloses a tower-typed solar energy thermal power generation system with two-stage thermal storage. The system at least comprises a photo-thermal conversion subsystem, a two-stage thermal storage subsystem and a power subsystem; wherein, the photo-thermal conversion subsystem is used for receiving and converging solar radiation energy, converting the received solar radiation energy into heat energy, and transmitting the heat energy to the power subsystem or the two-stage thermal storage subsystem; the two-stage thermal storage subsystem is used for storing the heat energy input by the photo-thermal conversion subsystem and providing the heat energy for the power subsystem when the solar radiation energy is not enough; the power subsystem is used for converting the received heat energy into electrical energy and outputting the electrical energy. By adopting the invention, the problem that the steam is difficult to store is solved, and the difficulty that the running of a steam turbine in the previous tower-typed solar energy thermal power generation proposal by taking the steam as heat absorption working substance is influenced by the unstable and discontinuous solar radiation is overcome.

An apparatus and method for scheduling a multiuser and a single user in a Multiple Input Multiple Output (MIMO) system are provided. The method for scheduling a multiuser and a single user at BS in MIMO system includes determining ratios of MultiUser-MIMO (MU-MIMO) chunks and Single User-MIMO (SU-MIMO) chunks to allocation chunks, determining the MU-MIMO chunks in the determined ratio and the remaining chunks as the SU-MIMO chunks, transmitting chunk information relating to the determined chunks to one or more Mobile Stations (MSs), and, when Channel Quality Information (CQI) feedback information relating to the determined MU-MIMO chunks and the determined SU-MIMO chunks is received from the MSs, allocating chunks and streams for MU-MIMO / SU-MIMO to users who maximize overall capacity using the CQI feedback information.

The invention discloses a method for dynamically monitoring the health status of a wind turbine gearbox in real time in the technical field of status monitoring and fault diagnosis of rotating machinery. The method comprises the following steps: acquiring a vibration signal and operating and monitoring data of the gearbox; analyzing the vibration signal of the gearbox to obtain the time domain feature and frequency domain feature of the vibration signal of the gearbox and the envelope spectrum feature of an envelope signal; establishing an operation condition space for the gearbox and dividing the operation condition space of the gearbox into a predetermined number of operation condition sub-spaces of the gearbox according to the operating data of the gearbox; generating a health status feature library for each component of the gearbox from an obtained operation monitoring historical data subset; establishing a health status evaluation model to obtain a health status real-time evaluation model under each operation condition and the health index of each component; and finally, calculating the health index of the gearbox. With the method, the health status evaluation model is established, the complexity of determining a monitoring threshold under a complex dynamic operation condition is avoided, and the defect of linear distortion caused by the simple increment of multi-feature parameters is overcome.

A diagnostic and therapeutic contact lens is provided for use with biomicroscopes for the examination and treatment of structures of the eye. The lens comprises a contacting surface adapted for placement on the cornea of an eye, two reflecting surfaces, and a refracting surface. A light ray emanating from the structure of the eye enters the lens and contributes to the formation of a correctly oriented real image. The light ray is reflected in an ordered sequence of reflections, first as a negative reflection in a posterior direction from an anterior reflecting surface and next as a positive reflection in an anterior direction from a posterior reflecting surface. The light ray contributes to forming the image of the structure of the eye either anterior to the lens or within the lens and proceeds along a pathway to the objective lens of the biomicroscope used for stereoscopic viewing and image scanning.

A cable television (CATV) entry adapter connects to a CATV network and serves as a hub in a Multimedia over Coax Alliance (MoCA) network. MoCA signals are communicated between passive and active ports of the entry adapter through a pair of directional couplers which allow a MoCA-enabled embedded multimedia device (eMTA) at the passive port to communicate with multimedia devices of the MoCA network connected to the active ports.

An SYNTAX automatic scoring method based on coronary angiogram image segmentation segments and extracts a coronary arterial tree and central line based on coronary angiogram images of a patient and employs a blood vessel side branch separation, reconnection and K main curve method, and generates a binary image of the coronary arterial tree The blood vessel segment numbers are automatically matched based on the SYNTAX scoring standard by employing a central line direction tracking method, and coronary artery pathological changes and adverse characteristics are identified and scored by selecting a coronary left (right) advantageous type in combination with the width attenuation degree of the cross section of the blood vessel and the curvature change of the center line, and the scores are calculated to give a reasonable score result to allow a doctor to employ optimal operation scheme. The method overcomes the problems of great computation amount, tedious calculating steps, complex scoring standard and long calculating time of artificial calculating SYNTAX scoring in conventional clinics.

An integrated, multi-function management system and method that allows criminal justice professionals and criminal justice agencies to enhance the efficiency and quality of their operations. The method includes a unique framework of one or more agency customized protocols that guides and assists the process by which criminal justice professionals carry out their supervision responsibilities for the offender caseload. The method further includes case configuration for individual offenders, infraction handling for individual or groups of infractions, sanction / response handling using multiple factors to determine if a subject should have their case conditions change, case review information that uses business rules to draw attention to important matters, and alert / report processing that assures that the right individuals are notified of case status changes so that they can act in a timely way. Further, the method integrates a multiplicity of possible choices and factors into a prescribed protocol to increase consistency and measurability, thereby improving agency results.

The invention provides a discrete fracture modeling method based on multiscale factor restraint. The discrete fracture modeling method based on multiscale factor restraint comprises the following steps that the fracture parameter of a single well is recognized and described in details; a fault-wrinkle-fracture symbiosis evolution system is established based on the counted fracture parameters, and a key fracture making period is determined; the fracture parameter based on detailed tectonic stress field simulation is calculated in a quantitative mode; main controlling factors for fracture development are optimally selected; the weights of the main controlling factors of the fracture are optimally selected according to the entropy weight method; a multiscale fracture DFN model restrained by multiple factors is established; a double-hole and double-permeability geologic model is established. According to the discrete fracture modeling method based on multiscale factor restraint, the mutual control and influence between multiscale fractures are analyzed based on detailed description, obtained through CT scanning, of one single well, the multiple geological factors, such as the structure and deposition, controlling fracture development are analyzed, the main controlling factors for fracture development are optimally selected according to the entropy weight method, a large-scale discrete fracture model, a medium-scale discrete fracture model and a small-scale discrete fracture model are established, an idea and method for establishing a detailed fracture geologic model are formed, and an important basis is provided for efficient development of a fractured oil reservoir and scheme optimization.

The invention discloses an automatic collecting method of high-resolution satellite remote sensing traffic flow information. The automatic collecting method comprises the following steps of: A. pretreatment: registration of panchromatic images and a vector road network as well as panchromatic and multi-spectral images, road region division and double edge filtering strengthen; B. acquiring a vehicle sample characteristic value by visually judging a road region image obtained in the step one, and establishing a vehicle remote sensing image feature library; C. carrying out rough neural network vehicle extraction and fine facing objective vehicle extraction on the panchromatic images obtained in the step two; D. by utilizing a matching method relative to an image frequency domain, searching the vehicle position in fine extraction in the step three in multi-spectral images and carrying out matching; E. calculating a displacement amount of a same vehicle in the panchromatic and multi-spectral images according to the corresponding vehicle position obtained in the step three and the step four, thus estimating traffic flow parameter information; and F. verifying the traffic flow parameter information through precision evaluation. With the adoption of the method, static and dynamic traffic flow information in a large range series can be automatically and rapidly collected, the efficiency is high, and the method is simple and practicable.

Systems, methods, and apparatus relating to the use of phase change material to store, transfer and convert heat, such as from solar radiation, to mechanical work or electricity. Apparatus, systems, components, and methods relating to thermal energy transfer and energy conversion are described herein. In one aspect, the invention relates to a containment vessel having a heat receiving region and a heat transfer region such that a plurality of phase change materials are disposed therein and a sequence of solid, liquid and vapor phases are used to transfer heat from a source to a heat receiver of a power conversion unit.

A phase-difference sensor measures the spatially resolved difference in phase between orthogonally polarized reference and test wavefronts. The sensor is constructed as a pixelated phase-mask aligned to and imaged on a pixelated detector array. Each adjacent pixel of the phase-mask measures a predetermined relative phase shift between the orthogonally polarized reference and test beams. Thus, multiple phase-shifted interferograms can be synthesized at the same time by combining pixels with identical phase-shifts. The multiple phase-shifted interferograms can be combined to calculate standard parameters such as modulation index or average phase step. Any configuration of interferometer that produces orthogonally polarized reference and object beams may be combined with the phase-difference sensor of the invention to provide, single-shot, simultaneous phase-shifting measurements.

An occipital plate system comprising: (a) a plate having one or more apertures for receiving bone fasteners adapted for securing the plate to the skull; (b) two rails extending outwardly from opposing sides of the plate; and (c) two rod receptacles, each comprising a body portion and a receiver portion, the body portion defining a passageway through which one of the rails slides, the receiver portion defining a cavity to receive a rod and threads above the cavity for receiving a set screw such that at least a portion of each of a rail, the rod and the set screw are contained within the rod receptacle.

A carrier aggregation configuration method and device. The method comprises: a base station configuring a carrier aggregation group for a terminal, and setting configuration manners of different subframe upstream / downstream ratios for wireless frames of each component carrier in the carrier aggregation group. A method 1 is adopted: in the case that a hybrid subframe supports unidirectional transmission, the base station and the terminal agree upon a subframe type of a subframe at a subframe time of a hybrid subframe on a main component carrier as a reference subframe type, the transmission capability on the main component carrier and the sub-component carrier are allowed for a subframe with the subframe type at the subframe time of the hybrid subframe being the same as the reference subframe type, and the transmission capability on the sub-component carrier is forbidden for a subframe with the subframe type at the subframe time of the hybrid subframe being different from the reference subframe type. The solution solves the problems of uncertain subframe types of hybrid subframes and disorderly timing relations of hybrid automatic repeat requests, thereby meeting the demands for component carrier aggregation of different upstream / downstream ratios.

A multi-axis magnetic field sensing device combines two magnetoresistive sensors to measure the two orthogonal components X, Y of a magnetic field parallel to a system's plane and a Hall sensor to measure the Z component of the magnetic field substantially perpendicular to the system's plane. The two magnetoresistive sensors may be built together in one single chip and then stacked on top of a CMOS die embedding the Hall sensor and associated electronics for the signal processing management of the three sensors and the system's interface.

The invention belongs to the technical field of lithium ion batteries, and particularly relates to a method for preparing a lithium ion battery. The method includes steps: firstly, pressing metal lithium sheets on at least one surface of a cathode sheet and forming a processed cathode sheet; secondly, assembling an anode sheet, a diaphragm and the processed cathode sheet into a cell, packing the cell into a package bag, filling liquid into the package bag, and allowing the packaging bag to stand still so that a solid electrolyte [SEI (solid electrolyte inter-phase)] film is formed on the surface of the cathode sheet; and thirdly, carrying out formation capacity operation and obtaining the lithium ion battery. Compared with the prior art, the method has the advantages that the cathode sheet and the metal lithium sheets are pressed together when the battery is assembled, the SEI film is formed on the surface of an anode material by means of standing and storing before formation of the integral battery while activity of a cathode material and activity of electrolyte are unaffected, the SEI film is formed in advance, irreversible capacity loss of initial charge is effectively reduced, and energy density of the battery is increased.

The embodiment of the invention provides a wireless network connection establishing method and terminal equipment. According to the embodiment of the invention, wireless network information for accessing a wireless network where first terminal equipment is located is acquired through the first terminal equipment, the wireless network information is sent to second terminal equipment in an NFC method to enable the first terminal equipment to receive a first request message sent by the second terminal equipment according to the wireless network information, and a wireless network connection with the second terminal equipment is established according to the first request message. By making use of the characteristics of NFC such as communication convenience, short communication distance and high reliability, the problems of complex operation and error proneness of configuration in the prior art are avoided, and efficiency and reliability of configuration are improved.

The invention relates to high-silicon-to-aluminum-ratio hierarchical beta zeolite and a preparing method of the beta zeolite. The bore diameters of channels of the beta zeolite are distributed in ranges smaller than 2nm, between 5 and 11nm, and greater than 50nm, wherein the micropore volume is greater than 0.19cm<3> / g, the total volume of meso pores and macro pores is greater than 0.35cm<3> / g, the silicon-to-aluminum ratio is greater than 90, and the specific surface area is greater than 400m<2> / g. The preparing method comprises the following steps that raw material beta zeolite is subjected to primary acid treatment; the beta zeolite subjected to the primary acid treatment is subjected to primary calcination; the beta zeolite after the primary calcination is subjected to secondary acid processing, and the high-silicon-to-aluminum-ratio hierarchical beta zeolite is obtained. The preparing method provided by the invention has the advantages that the operation is simple and efficient, and the prepared high-silicon-to-aluminum-ratio hierarchical beta zeolite has high acid, thermal and hydrothermal stability and good diffusion performance.

The invention discloses a method for detecting network attack behaviors, which comprises the following steps: (1) reconstructing a network traffic time sequence to be detected to a multi-dimensional phase space according to the complicated non-linear property of network traffic, and establishing a statistic distribution module according to a normal network traffic time sequence; (2) carrying out smoothing treatment on the network traffic time sequence to be detected, and dividing into sub-windows; and (3) obtaining a parameter sequence according to parameters of all the sub-windows of the network traffic time sequence after the smoothing treatment according to the calculation of the statistic distribution module, and establishing a comprehensive decision module according to the parameter sequence for detecting abnormality. The network traffic is re-constructed to the multi-dimensional space, thereby fully displaying information hidden in a one-dimensional space, reducing the computational complexity of each dimensional space and improving the running speed; and the method can improve the robustness and the accuracy of a system and is characterized by low computational complexity, high detection rate and low false detection rate.

The invention discloses a method of detecting fruit surface defects based on low pass filter. Binary mask image B' is constructed based on B component of fruit colorful image. R component f(x, y) of removed background is obtained by the dot product of B' and R component. Central transformation of f(x, y) is performed to obtain f'(x, y) and discrete Fourier transformation of f'(x, y) is performed to obtain F(u, v). Low frequency component G(u, v) is obtained by the multiplication of F(u, v) and low pass filter H(u, v). g(x, y) is obtained by negative discrete Fourier transformation of G(u, v). i'(x, y), which is the surface brightness image of f(x, y), is obtained by the multiplication of g(x, y) and the function of (-1)x + y. Homogenization brightness image f''(x, y) is obtained by the division of f(x, y) and i'(x, y). Fruit surface defects are detected by single threshold method of f''(x, y). Fruit surface defects are easily detected in the invention by single threshold method, wherein homogenization correction of fruit surface brightness is carried out. The method of the invention overcomes the complexity of conventional defect inspection algorithm and is free of considering the sizes and shapes of fruits to be detected, thus is better adjusted than standard ball brightness adjustment method. The images are acquired by a single camera, thereby avoiding the problem of low processing speed due to the information fusion of images from a plurality of cameras.

The invention relates to a LoRa core network system and a realization method. According to functions of designed gateway, network management server, application management server, data distribution server and database server, a task of operating and managing a LoRa network can be finished. The designed application management server based on Nginx, TCP connection is taken over by Nginx, and parameters of request service are borne by a body in an HTTP message. A service request module is docked with an Nginx module. The realization complexity resulting from managing the TCP connection by an Epoll model is avoided, the system expansibility is improved, and the maintainability is relatively high. A request preprocessing mode accesses the rapid processing and blacklist filtering LoRa network based on a UDP, requests are rapidly transmitted to the data distribution server through the UDP, through blacklist filtering, illegal requests are prevented from entering the application management server through the data distribution server, and the system security and reliability are ensured.

The invention discloses a method for nonlinearly constructing the three-dimension model of a human face from a single image under the support from a three-dimension human face database. A group of characteristic points are extracted first according to an input image, and then, the parameters of head gestures in the input image are automatically estimated according to an average human face model in the human face base; after the gesture is restored, a neighborhood is determined in the three-dimension human face database for a given human face image according to a similarity measuring function; wherein, the value of the neighborhood is adaptively determined through a cross verification algorithm; an individualized three-dimension human face model is synthesized through a neighborhood interpolation algorithm; finally, a texture mapping is solved through the extracted characteristic points. In the method for constructing the three-dimension model of the human face, a high-precision three-dimension human face animation can be obtained and applied to separate single image under different experimental conditions so as to synthesize the three-dimensional model, thus ensuring a sense of reality of the human face animation; meanwhile, a verbose of manual division of the human face lacune area can be avoided; the production efficiency of the human face animation is enhanced; the method is more stable and efficient relative to the iterative algorithm in the calculating process of generating the three-dimension human face model; furthermore, the generated three-dimension human face model has textural information; a high-precision three-dimension human face animation with the sense of reality can be generated in real time.

The invention discloses an automatic repeat request (ARQ) window management method which is characterized in that receiving terminals of layer entity are controlled by use of wireless links of confirmation mode; and when the sections of the wireless link control protocol data cell corresponding to the lower boundary of the currently-received window or all the wireless link control protocol data cells are not received successfully and the preset conditions are met, the receiving window are triggered to move continuously. The ARQ window management method overcomes the problems of wireless resource waste and unfairness when the service data unit (SDU) is discarded, and avoids the complexity of sending the move receiving window (Send MRW).

The invention relates to a Spark SQL-based distributed full text retrieval system and method. The system comprises an SQL translation layer, a data source management layer, a parallel calculation layer and a distributed storage layer; an SQL-based full text retrieval method and translation processes, among modules of the SQL translation layer, of full text retrieval SQL statements are proposed; a full text retrieval process parallelization method is designed in a data source management module; and in a retrieval optimization module, two index storage models and corresponding primitive table data reduction strategies during query are designed, wherein a partition align connection algorithm which is used for reducing primitive table data during query and has a complexity of O (n) is designed for an index appointed column-based storage model. Under the two storage models, the index construction time is shortened to 0.6% / 0.5% of the traditional database, the query time is shortened to the 1% / 10% of the traditional database, and the index storage amount is decreased to 55.0% of the traditional database. According to the method, the Spark SQL data analysis function is strengthened, and the requirements for traditional business migration and full text retrieval carried out on mass data in the existing businesses can be satisfied.

The invention discloses a cutter wear state monitoring method based on a deep gated cycle unit neural network. The method comprises the steps that vibration signals generated in the tool machining process are collected in real time through a sensor, after wavelet threshold denoising, the signals are input into a one-dimensional convolutional neural network for single time step time sequence signallocal feature extraction; then, inputting the time series signal into an improved deep gated recurrent unit neural network CABGRUs to carry out time series signal time series feature extraction; an Attention mechanism is introduced to calculate network weights and reasonably distribute the network weights, and finally, signal feature information with different weights is put into a Softmax classifier to classify tool wear states, so that complexity and limitation caused by manual feature extraction are avoided; meanwhile, the problem that a single convolutional neural network ignores correlation before and after a time sequence signal is effectively solved, and the accuracy of the model is improved by introducing an Attention mechanism. Therefore, the method has the characteristic of improving the real-time performance and accuracy of cutter wear state monitoring.