381results about How to "Solve the problem of selectivity" patented technology

The invention discloses a speech emotion recognition method. The method includes the steps that firstly, a speech signal is converted into a spectrogram to serve as initial input; secondly, a deep convolutional neural network is trained to automatically extract emotion features; thirdly, a stack type auto-encoder is trained for each kind of emotions, and all the stack type auto-encoders are fused to automatically construct membership functions of an emotion fuzzy set; fourthly, the features obtained in the second step are subjected to feature optimization by means of the fuzzy optimal theory in the third step; fifthly, emotion classification recognition is conducted by means of a Softmax classifier. The method takes abstract fuzzy properties of speech emotion information into consideration, the extracted emotion features are subjected to selective fuzzy optimization to improve the significance of the features, fuzzy membership functions in the fuzzy theory are automatically constructed by means of the concept of deep neural network layer-by-layer training, and the problem that the proper membership functions in the fuzzy theory are difficult to select and determine is solved.

The invention provides a video perception-fused multi-task synergetic recognition method and system, and belongs to the technical field of multisource heterogeneous video data processing and recognition. According to the method and system, a biological vision perception mechanism is combined to research feature-synergetic shared semantic descriptions of multisource heterogeneous video data and universal feature descriptions of the multisource heterogeneous video data are obtained; an environment-suitable calculation theory is utilized to establish task-synergetic feature association learning and task prediction mechanism and realize an environment-suitable perception task association prediction mechanism; and long-time dependency is combined to put forward a context-synergetic vision multi-task deep synergetic recognition mode, realize a multi-task deep synergetic recognition model with long-time memory and solve the problem that the video multi-task recognition is bad in generalization, low in robustness and high in calculation complexity. According to the method and system, an intelligent, generalized and mobile video common feature description method and the multi-task deep synergetic recognition model are put forward, so that the development in the field of intelligent information push and personalized control services of smart city multisource heterogeneous video data canbe prompted.

The invention discloses a method for detecting a fatigue state of a driver based on a digital video. The method comprises the following steps: firstly detection and positioning of a human face are carried out based on images acquired by a camera; after the human face is positioned, the eye area and the mouth area are searched; and based on the found eye area and mouth area, the eye condition and the mouth condition are judged so as to judge whether the driver is in the fatigue driving state or not. In the invention, the high-precision face detection algorithm and the highly reliable fatigue detection algorithm are adopted, so that the function of the high-precision and highly reliable fatigue state detection can be realized.

The invention discloses a battery power saving method for a portable electronic product. The method comprises the following steps: detecting current battery power of a system; sending a low power prompt signal when the current battery power of the system is lower than a low power triggering threshold; and setting a power saving mode expected by a user according to the low power triggering threshold, wherein the power saving mode is associated with a plurality of sets of operation parameters and / or on-off states related to power consumption of the system. The invention further discloses a battery power saving apparatus for the portable electronic product. The battery power saving apparatus comprises a battery power detector, a low power prompting device and a power saving mode setting device. When it is detected that current battery power of the system is lower than the low power triggering threshold, the low power prompt signal is sent, and the power saving mode expected by the user is set according to the low power triggering threshold. On the basis of the apparatus, the invention also discloses a mobile terminal of the portable electronic product using the battery power saving apparatus. The mobile terminal guarantees that the user sets a correct power saving mode at the right time, so the purpose of battery power saving is realized in reality.

The invention provides a D2D relaying communication method and device and a terminal. The D2D relaying communication method comprises steps as follows: obtaining the service cell information of to-be-selected at least one relaying terminal by a remote terminal, wherein the remote terminal is located in a network coverage range and builds an RRC (Radio Resource Control) connection with a base state; and selecting a relaying terminal for D2D relaying communication according to the current service cell information of the remote terminal and the service cell information of the at least one relaying terminal. According to the technical solution provided by the invention, the remote UE is ensured to select the most suitable relaying UE; the vicious circle problem resulted from blindly switching the service cell by the remote UE is avoided; and the problem of coordinating relaying selection and cell switching by the remote UE in a connection state in the D2D relaying communication is effectively solved.

The invention discloses a nano-compound adsorbent for efficiently removing trace phosphorus, arsenic and antimony from a water body, belonging to the technical field of environment functional materials. The organic framework of the nano-compound adsorbent of the invention is hypercrosslinked styrene-divinylbenzene ion exchange resin, a functional group for surface binding of the organic framework is a quaternary ammonium group or pyridyl, nano-inorganic functional particles are loaded, and the total volume of 1-20nm nano-pores accounts for greater than or equal to 90% of the total volume of all the pores of the organic framework. The nano-inorganic functional particles are nano-hydrated ferric oxide or nano-hydrated manganese oxide. The nano-compound adsorbent of the invention has more obvious nano effect, strong reaction activity, great adsorption capacity and high selectivity, well solves the defects of obvious swelling, weak adsorption reaction activity, small adsorption capacity, lower adsorption selectivity and the like of the existing nano-compound adsorbent, and is more suitable for advanced treatment of micro-pollution of water and waste water.

The invention discloses a target system analysis and weapon distribution method for joint operations. A qualitative and quantitative analysis is conducted for a combat target system (including various types of targets of ground, sea and air) in the joint operations, the target value can be analyzed quickly and the combat focus is determined. Meanwhile, a plurality of constraints (including combat intentions, battlefield environments, combat rules and other factors) are comprehensively considered, combat weapons (including land-based, sea-based, space-based and other weapons) are used in a coordinated manner, operations are planned rationally, and a combat program plan is formed. The method can be directly used in a joint operational command and information system, can effectively solve the problem of attack target selection and combat weapon utilization, and can greatly enhance the assistant decision support ability of the system.

The invention provides a pyromellitic dianhydride catalyst and a preparation method thereof, relates to a catalyst and the preparation method and solves the problems of low catalyst yield and low selectivity of the conventional gaseous oxidation method for preparing pyromellitic dianhydride. The catalyst consists of an active ingredients and a carrier, wherein the active ingredients consist of V2O5, TiO2, P2O5, Sb2O3 and alkali metal oxides. The method comprises the following steps of: 1, weighing; 2, adding an antimony source and a vanadium source into oxalic acid solution with stirring to obtain vanadyl oxalate solution; 3, adding a phosphorus source, the antimony source and alkali metal salt into the vanadyl oxalate solution, uniformly mixing, then adding a titanium source, adding polyvinyl acetate emulsion and then pulping and grinding to obtain size; and 4, adding the carrier into a revolving drum of spray painting equipment, heating and spraying the size on the carrier, putting into a Muffle furnace to carry out air purge and cooling to obtain the catalyst. The catalyst is used for catalysis and preparation of pyromellitic dianhydride.

The invention relates to a heavy oil catalytic cracking catalyst with high light oil yield and a preparation method thereof. The catalyst contains 2-50 wt% of a magnesium modified ultrastable rare earth Y-type molecular sieve, 0.5-30 wt% of one or several other molecular sieves, 0.5-70 wt% of clay, 1-65 wt% of a refractory inorganic oxide and 0.01-12.5 wt% of rare earth oxide. The magnesium modified ultrastable rare earth Y-type molecular sieve is prepared from a raw material NaY molecular sieve through rare earth exchange, dispersing pre-exchange, magnesium salt exchange modification, ammonium exchange for reducing sodium, and ''two exchanges and two roasting''. The catalyst provided by the invention has characteristics of strong heavy oil conversion ability and high light oil yield.

The invention relates to a preparation method of high purified fructo-oligosaccharide, in particular to a method for preparing the high purified fructo-oligosaccharide by using immobilized enzyme. The preparation method of the invention prepares immobilized fructosyltransferase, immobilized glucose oxidase and immobilized mimic hydrogen peroxidase; then prepared enzymes are used to prepare the high purified fructo-oligosaccharide through an interrupted or continuous production method. In the preparation method, cheap metalporphyrin compounds are used as the mimic hydrogen peroxidase to replace expansive catalase; the fructosyltransferase, the glucose oxidase and the mimic hydrogen peroxidase are all immobilized and all can be recycled and reused; the stability and the operating factor of the enzymes are improved; the production cost for preparing the high purified fructo-oligosaccharide is greatly reduced. The preparation method can use one step method to directly produce the high purified fructo-oligosaccharide from cane sugar.

The invention relates to a graphene-containing lubricating oil and a preparation method thereof. The graphene-containing lubricating oil comprises the following components by weight: 0.1-1 part of graphene, 72-85 parts of synthetic base oil, 0.8-3.2 parts of a composite antioxidant, 0.5-1.5 parts of a metal detergent, 2.3-6.5 parts of an ashless dispersant, 0.05-1.5 parts of a nanoscale friction modifier, 2.0-10.0 parts of a viscosity index improver, 0.2-1.0 part of a pour point reducer, and 50ppm of a defoamer. The preparation method includes: putting the synthetic base oil into a blending kettle, performing stirring, then adding the pour point reducer, the viscosity index improver, the composite antioxidant, the metal detergent, the ashless dispersant, and the nanoscale friction modifier, stirring the substances evenly, adding graphene and the defoamer, maintaining the original temperature, stirring the materials evenly, and performing standing. The graphene-containing lubricating oil provided by the invention solves the problems of corrosion and selectivity in traditional lubricating oil additives, at the same time the process is improved, and the ultrasonic dispersion link of graphene is eliminated.

The invention provides a signal output method of an optical receiver area array sensor, wherein the receiver firstly identifies and responds pixel positions of useful optical signals according to space and time characters of a light source, then selectively outputs the pixel signals and removes the pixel output only responding environment light. Meanwhile, the invention introduces a synchronous sampling technology for synchronizing the output sampling of the area array sensor and the frequency of light pulse and ensuring the integrity of signals during high speed communication.

The invention discloses a joint user access selection and resource allocation method in a cache heterogeneous network, and relates to the field of mobile communication. The method is specifically as follows: firstly, establishing a system model based on a D2D (device-to-device) of one single cell; acquiring each limitation condition and utility function Ui corresponding to the system model in a communication connection process aiming at one request user I; and then establishing a complete user access selection and resource allocation model according to each limitation condition and the utility function Ui of the system model, solving and analyzing to loosing the 0-1 variable in the model, and converting into a convex optimization problem; and finally, solving and proofing the convex optimization problem to obtain the maximum utility income of the system and a user access selection scheme under maximized resource allocation, and then performing simulation verification. The utility function is imported to jointly model, the non-convex optimization problem is converted into the convex optimization method, the system throughput is maximally improved, the micro-cellular is shunted, and the spectrum utilization efficiency is improved.

The invention discloses a propane dehydrogenation catalyst, which is obtained by loading metal platinum on magnesium aluminate spinel carriers, wherein the metal platinum of the catalyst is in a one-dimensional or two-dimensional highly dispersed state on the surface of the carrier; platinum atoms exist in a single atom or sub-nanometer cluster form; the particle diameter of the sub-nanometer cluster is smaller than 1nm. The invention also discloses a preparation method of the propane dehydrogenation catalyst. Compared with a catalyst prepared by the existing method, the obtained propane dehydrogenation catalyst has the advantages that the conversion rate and the selectivity are obviously improved; the stability is high; good application prospects are realized.

The invention discloses a light single sideband modulation method. According to the light single sideband modulation method, a light carrier wave is divided into two routes, with regard to one route of the two routes, light intensity modulation of a suppressed even order sideband is conducted at first, then one first-order sideband signal is filtered out from obtained light intensity modulation signals, and finally the one first-order sideband signal which is filtered out is merged with the other route light carrier wave to enable a final light sideband modulation signal to be obtained. The invention further discloses a light single side band modulator, optical device measuring equipment and an optical device measuring method, wherein the light single side band modulator, the optical device measuring equipment and the optical device measuring method adopt the modulation method. The light single sideband modulation method can effectively eliminate influence of second-order sideband of the single sideband signal so as to improve dynamic range of a system. The optical device measuring equipment and the optical device measuring method based on the modulation method can solve the problem of selection of an optical device to be tested and the problem of measuring error caused by the second-order sideband of the sideband signal under the condition of guaranteeing measurement accuracy.

The invention discloses a Hadoop cloud platform-based Web resource personalized recommendation system and method. The system comprises a user model module which collects browsing behavior information of a user on a Web resource page, endows different weights to different behavior types of the user according to the browsing behavior information of the user on the Web resource page, and calculates the degree of interest of the user in the Web resource page according to the different weights, a recommendation algorithm module which carries out clustering processing on the collected browsing behavior information of the user on the Web resource page by using a recommendation algorithm according to the degree of interest calculated by the user model module, then constructs a matrix according to a clustering result, carries out nearest neighbor analysis on a target resource through the constructed matrix to obtain a nearest neighbor result of the target resource, and forecasts and fuses the degree of interest of the user according to the nearest neighbor result to obtain a recommendation scheme, and a parallel processing module which carries out off-line distributed calculation on the recommendation algorithm under a Hadoop cloud platform, and saving a calculation result.

The invention discloses a shale gas reservoir favorable area selection integrated evaluation method. Methane absorbed by shale with a quite high total organic carbon content is obviously higher than methane absorbed by shale with a quite low total organic carbon content, and the organic carbon content is more than 2%; the heat maturity of kerogen also affects the amount of natural gas which can be absorbed on the surface of an organic substance in the shale, the absorption gas amount of a shale gas is gradually increased, and the maturity of an organic matter is between 1.4% to 3%; gas-containing shale is taken as a fine-granule compact sandstone reservoir layer, the increase of a carbonate content reduces the geological reserve of the shale gas, and siliceous-rich shale can play a better role than clay-rich shale in manual fracturing; and the shale net thickness of a shale gas exploration and production area is 9 to 91m. According to the evaluation method provided by the invention, through integrated evaluation of evaluation parameters, a shale gas reservoir area can be accurately determined, and accurate reference data is provided for exploitation of the shale gas.

The invention provides a device and method for providing end-to-end quality of service (QoS) assurance in service network, and the device is implemented by SRM and mainly comprises: service processing unit, resource management unit and service interface unit. And the method comprises: SRM receives user service request and processes the user service according to the monitored resource utilization condition of application server and QoS requirements of user service, and returns the processing results to the service request sender side. And the invention can assure end-to-end QoS in service network, and raises utilization efficiency of application server in service network.

The invention discloses a compound biosorbent capable of greatly improving the capability of adsorbing heavy metal by waste biomasses and a preparation method thereof. The biosorbent comprises following components: particles made of crops or wood wastes and nano ferric oxide hydrate which is loaded on the surfaces of the particles and is 10-100mg / g based on iron. The preparation method of the sorbent comprises the following preparation steps: enabling a Fe (III) solution with a certain mass concentration to slowly pass through an adsorption column filled with particle-form agricultural wastes and sufficiently contacting the Fe (III) solution with solid particles; then drying the solid particles at the temperature of 40-60 DEG C for 2 hours; adding the solid particles into a Na-NaCl mixed solution to be vibrated for 12-24 hours; filtering solid substances and repeatedly washing by using 0.001M HCl solution and distilled water until the pH value is 6-8; and finally, drying the treated agricultural waste particles at the temperature of 40-60 DEG C for 12-24 hours to obtain a needed material. According to the compound biosorbent, the adsorption capacity can be increased by 2-6 times, the adsorption speed can be increased by 2-5 times and the distribution coefficient of representation adsorption selectivity is increased by 10-50 times.

The invention belongs to the technical field of network communication, and particularly relates to a pre-hospital emergency medical aid emergency help integration system and application thereof. The integration system comprises a sound signal networking docking port module, a pre-hospital emergency medical aid local emergency help sub module, a pre-hospital emergency medical aid remote emergency help sub module, a pre-hospital emergency medical aid mobile phone message sub module, a pre-hospital emergency medical aid ambulance emergency help sub module, a first pre-hospital emergency medical aid intelligent terminal emergency help sub module, a second pre-hospital emergency medical aid intelligent terminal emergency help sub module and a pre-hospital emergency medical aid destination hospital emergency help sub module. By means of the system and application, the emergency help information required by the pre-hospital emergency medical aid and generated in advance and immediately is collected, processed, transmitted and applied, the full pre-hospital emergency medical aid emergency help processes of user calling, vehicle dispatching, transporting on the way and reaching the destination are provided, the pre-hospital emergency medical aid time is shortened to the maximum degree, and the success rate of the pre-hospital emergency medical aid is increased.

The invention relates to a liquid dielectric constant measuring system self-adapting to scale and precision. The dielectric constant measuring system comprises a to-be-measured capacitor detector (1), a single-chip microcomputer (2) and an LED display. The single-chip microcomputer controls a switch circuit in the to-be-measured capacitor detector, an estimated value of the to-be-measured capacitor is acquired through a capacitor initial check circuit, a commutating and voltage-stabilizing circuit, and a low precision analog-digital converter in the to-be-measured capacitor detector and a corresponding computational formula, the estimated value is used to control a phase-locked loop to output a sampling lock with appropriate precision, then the state of the switch circuit in the to-be-measured capacitor detector is changed, the charging impulse of the to-be-measured capacitor is acquired through an RC charging and discharging subcircuit and a comparator circuit, the sampling clock is used to sample to acquire the charging time, and calculation is conducted to acquire the precise value of the to-be-measured capacitor, and finally, the dielectric constant of a corresponding liquid is obtained through calculation according to the structure of a measured electrode and the measured capacitance value and is displayed in the LED display.

The invention relates to a network re-election and switching method, comprising the steps of requesting a mobile terminal to report speed information; receiving a measurement report returned by the mobile terminal, the measurement report containing the speed information of the mobile terminal; and determining whether to switch the network of the mobile terminal based on the speed information. The method of the invention solves the problem that an optimal network selection and switching solution cannot be offered for special scenarios such as high-speed movement and multi-network coverage areas and network interference complex regions, enhances the ability of a mobile communication network to make optimal network re-selection and switching for more different scenarios, and improves the network access index and the satisfaction of user perception.

The invention relates to a frame-type circuit breaker fault diagnosis and degree evaluation method based on operating accessory current. The method includes the steps of firstly determining the working stages, including an energy storage stage, a closing stage and an opening stage, of the circuit breaker to be diagnosed and evaluated, then using the current of an energy storage motor to diagnose fault during the energy storage stage, and using the current of a closing coil to diagnose fault during the closing stage, using the current of the opening coil to diagnose fault and assess degree during the opening stage, respectively detecting the current signals of the energy storage motor during the energy storage stage, the current signals of the closing coil to diagnose fault during the closing stage and the current signals of the opening coil during the opening stage, conducting fault diagnosis with a multi-core support vector machine, and accurately determining the fault degree through a fault degree characteristic curve when the degree of the fault diagnosed has to evaluated.

The invention discloses a method for transmitting scalable videos according to priorities. The method comprises the following steps of: sequencing layered code streams which are subjected to scalable video coding (SVC) of each group of pictures (GOP) of the scalable videos based on priorities; and performing packing and Raptor coding on the sequenced SVC layered code streams and transmitting coded scalable video code streams to a scalable video receiving end through a transmission channel. The invention also discloses a device for transmitting scalable videos based on priorities. In the method, the SVC layered code streams are sequenced on the basis of priorities according to the layer characteristic of the SVC layered code streams, and packing and Raptor coding are performed on the sequenced SVC layered code streams, so that the problems of optimized selection and transmission of scalable video code streams are solved and the quality of a reconstructed image of the scalable video code streams can be finally enhanced.

The invention relates to a luminescent and magnetic nano material-based method for detecting carcinoembryonic antigen (CEA), which comprises the following steps: (1) preparing a FE3O4 / SiO2 nuclear shell-first antibody compound; (2) preparing a CdTe-second antibody compound; (3) drawing a 'fluorescence intensity-CEA concentration' standard working curve and calculating a working equation; and (4) detecting a fluorescence intensity value, and obtaining the content of the CEA of the patient through the working equation. The detection method has the advantages of simpleness and high sensitivity, and can easily detect the illness state of patients in the early stage of cancer.

The embodiment of the invention provides a method and device for measuring and reporting receiving signals intensity indication in the authorization auxiliary access, and a method and device for using RSSI in the authorization auxiliary access. The method for measuring and reporting RSSI in the authorization auxiliary access comprises: determining whether the indication of the channel occupation state is received from a base station or not; measuring the RSSI; and reporting the measured RSSI to the base station. The RSSI measurement and report mechanism provided by the embodiment of the invention can keep low signaling cost.

The invention relates to a method for cognitive radio anti-interference intelligent decision based on reinforcement learning. The method includes the following steps: under the multichannel cognitivescene, a cognitive user takes perceived channel information and transmission power and channel selection information of an interference unit as state information S and actively selects transmission power and channel selection information to be action information a; the ratio of the signal to interference plus noise ratio SINR to the energy consumption E of the cognitive user is defined as an utility function R which serves as a measuring standard of the action selection performance of the cognitive user; in the cognitive decision model, the state information serves as a known condition, the action selection is decided by the cognition user as a body, the utility function serves as an instant return function in the reinforcement learning, a Q-learning reinforcement learning model is established, and the action decision optimized by the cognitive user is obtained.

The invention discloses an adaptive modulation and coding method specific to remote sensing data transmission of a low earth orbit satellite. On one hand, through estimation and smoothing of an SINR (Signal to Interference plus Noise Ratio), the problems of frequency selective fading and channel time varying in a remote sensing data transmission channel of the low earth orbit satellite are solved, and stable measurement of a channel state is realized; and the SINR is predicted by means of the predictability of the channel, so that the problem of expiration of an SINR estimated value due to large time delay in satellite-ground transmission is relieved. On the other hand, data transmission equipment of a remote sensing satellite has receiving and transmitting functions, so that an SINR measurement station does not need to be built, and SINR measurement can be finished directly by a ground receiving end through the prior art, thereby simplifying a system.

The invention discloses an automobile e-commerce trade managing system and a method. The system comprises an automobile e-commerce trading platform, a seller's terminal and a user's terminal. An operation staff, through the automobile e-commerce trading platform, sets seller-and-product-related information, and exercises monitoring and statistics over an entire trading process. A seller manages its products by checking, publishing and withdrawing the products through the seller's terminal. A user searches and screens product information and seller's information through the user's terminal and when he or she selects the right automobile, online trading follows and completes itself. According to the invention, a trading platform specifically for automobiles is provided for both sellers and users to strike a deal in a safe, convenient and efficient trading environment.

The invention provides an all-pass balanced time-reversal ultra-wideband wireless communication method used for restraining the coherent multi-path effect in the UWB wireless communication system, improving the transmission performance of the communication system and belonging to the wireless communication technical field. The shock response Hc (omega) =|Hc(omega)| *e j theta (omega) the wireless channel is measured firstly; and then the all-pass balanced factor H2 (omega) =1 / |Hc(omega)|2 and the time-reversal factor H1(omega) =|Hc(omega)| *e -j theta (omega) of the wireless channel are constructed respectively; finally, the all-pass balanced factor H2 (omega) and the time-reversal factor H1 (omega) are used for the all-pass balanced time-reversal processing towards the wireless channel, enabling the transmission function of the wireless channel after the all-pass balanced time-reversal processing to be Hc`(omega)=H2(omega)*H1(omega)* Hc(omega)=1. The invention adopts the all-pass balanced factor H2 (omega) =1 / |Hc(omega)|2 to process all-pass balancing towards the time-reversal wireless channel, enables the wireless channel processed by the all-pass balanced time-reversal processing to be equivalent to an all-pass channel and eliminates the coherent multi-path effect (frequency selective fading). The all-pass balanced time-reversal ultra-wideband wireless communication method has the advantages of simple operation, lower computation cost and being applicable to the wireless communications with different communication systems.