154results about How to "Solve choice problems" patented technology

The invention provides a visual positioning method. The visual positioning method includes the following steps that S1, images of markers in an environment to be positioned are acquired in advance, and an marker database containing the images of the markers is established; S2, images to be identified of the markers in the environment to be positioned are collected by intelligent equipment, then the images to be identified are matched with the images in the marker database, and then a current position is calculated according to known geometric features of the matched images; and S3, the currentposition is marked at the corresponding position of an electronic map or the current position is output to preset application. The invention provides a visual positioning navigation method. Through the visual positioning method, positioning is carried out for navigation.

The invention discloses a contourlet-transform-based anti-geometric attack digital image watermarking method, mainly solving the problem of poor robustness of the existing similar method. The invention is technically characterized in that the method completes watermark synchronization through a geometric moment method to realize watermark embedding and extraction in a contourlet transform domain, that is, to calculate a first-order origin moment containing a watermark image I when the watermark is embedded, and reserve the first-order origin moment for the estimation of the geometric attack parameters during extraction; during watermark extraction, to estimate the geometric transformation parameters through the attacked first-order origin moment and a second-order center moment containing watermarks, and to recover the attacked watermarks through contourlet transform. The method of the invention has the advantages of strong anti-geometric attack ability, good watermark extracting effect and self-positioning watermark embedded location, which can be used for safety protection of digital multimedia product copyright.

A wireless network gateway selection method. If the 3GPP AAA Server performs authentication to the UE successfully, the local 3GPP AAA Server decides the selection function information parameter of the PDN GW and decides whether the UE is accessed into the 3GPP network through the visiting place PDG, and transmits the returned information to the visiting place 3GPP AAA Proxy; if the returned information doesn't contain the instruction parameter which doesn't allow the UE to be accessed to the 3GPP network through the visiting place PDG, the visiting place 3GPP AAA Proxy ignores the selection function information parameter and transfers the returned information to the visiting place PDG; finally the visiting place PDG authorizes the UE to be assessed into the network. The application of the invention can solve the problem that when the 3GPP evolution network is the local network, and when the 3GPP network before the evolution network is the roaming scene of the visiting place network, the UE is accessed into the gateway selection through non-credential non-3GPP IP access network.

The invention provides an excitation method in a time-dependence mobile crowd-sensing system, and aims at the crowd-sensing system of a time window task to design a user excitation method. The method comprises one direction auction flow and two stages including a user selection stage and a payment decision stage, wherein a greedy algorithm is adopted to solve a problem of user selection with minimized social cost in the user selection stage, and a degree of approximation of the excitation method is 1n |W|+1, wherein W is the length of a platform-sensing time window; and in the payment decision stage, the key reward of each selected user is calculated. The method comprises that the total time complexity of the user selection stage and the payment decision stage is O(n3.max|R|), wherein the n is a user number, and the |R| is a time window number contained in a user biding document. The excitation method has the good properties of individual rationality and cheating prevention and can generate a good approximate solution.

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 relates to a technique for selecting action equipment for a substation voltage reactive power comprehensive control system. The invention is characterized in that in accordance with the operation requirement, voltage and reactive operation ranges are determined and an ideal operation interval is divided in a system operation region; inside the ideal operation interval, the voltage and reactive are qualified without controlling; when the system operates outer the ideal interval, the voltage and reactive exceed the limit; a serve value supplied by the reactive equipment to the system is calculated, the serve value and the action delay are weighed and a controllable equipment is initially selected; combined with the equipment ordering method, the action equipment and the control direction thereof are finally selected. The invention solves the equipment selection problem between the main transformer and capacitor / reactor, solves the equipment selection problem of unequal capacity capacitor / reactor, and solves the equipment selection problem under the multi-device unequal delay; the action of invention is reasonable; the invention abandons the regional diagram control mode and avoids the problem of trans-region and regional boundary division. The invention changes the weights and properties of the voltage and the reactive power and is capable of suitable for different control modes.

The invention discloses a method for cultivating lucid ganoderma or auricularia polytricha. A culture medium comprises 10 to 90 weight percent of debarked magnolia officinalis branch wood pellets, the total C / N ratio of the culture medium is (50-80):1, and the pH value is 5 to 8. The method comprises the following steps of: uniformly mixing the magnolia officinalis branch wood pellets which are fully soaked with water and other components of the culture medium, sterilizing and inoculating; and culturing under environmental conditions adapting to the growth habit of the lucid ganoderma or auricularia polytricha strains so as to obtain the finished product of the lucid ganoderma or auricularia polytricha. The method solves the problem of selection of culture media during conventional cultivation of the lucid ganoderma or auricularia polytricha, also solves the problem of recycling massive debarked magnolia officinalis branches which are used as medicines, and changes waste materials into valuable things; meanwhile, the conventional cultivating and operating method is not needed to be changed, the yield of the lucid ganoderma or auricularia polytricha can be improved, and the method has high social significance and commercial value.

The invention discloses a system and method for realizing local access, which are used for solving the problem of gateway selection in the local access. The method comprises the following steps of: storing a mapping relation between a macro station system / a family base station system and a locate gateway corresponding to the macro station system / the family base station system into an added local access control server; updating the mapping relation through an A2 interface or an A3 interface; and obtaining an address of the local gateway from the local access control server and establishing the corresponding local access connection when user equipment establishes local access connection. In the invention, because the centralized management of the mapping relation between the macro station system / the family base station system and the corresponding locate gateway corresponding to the macro station system / the family base station system is realized, a corresponding updating mechanism is established and the correct gateway selection is facilitated when the local connection is established, the gateway selection problem in the local access is solved.

The invention provides an applicability discrimination method for a coordinate transformation model. The applicability discrimination method comprises the following steps: comparing transformation coordinates generated by a common transformation model by using a side length difference and an azimuth angle difference model of a CGCS2000 geodetic coordinate system and a national reference-ellipsoid-centric coordinate system; carrying out check analysis on the characteristics of the transformation model by using a side length difference and an azimuth angle difference according to the variation quantity and the variation trend; verifying data by using two stages of GPS (Global Positioning System) control networks in one region to reflect the characteristics of the transformation model; verifying the characteristics of the transformation coordinates by utilizing data of the GPS control network and transforming between the CGCS2000 geodetic coordinate system and the national reference-ellipsoid-centric coordinate system. According to the applicability discrimination method provided by the invention, the problem of difficult model selection for different demands in the coordination transformation process is solved, the problems that the precision is evaluated by completely depending on transformation residual and the precision estimation of the transformation residual has certain limitation in the previous coordinate transformation are solved, vast transformation workload is avoided, a large amount of cost and time are reduced and saved, and popularization and application of the CGCS2000 geodetic coordinate system are facilitated.

The invention discloses a three-step distributed wireless cooperative multicast / broadcast method, which is to acquire spatial diversity gain by using the synchronous cooperation among a plurality of users. In the method, multicast / broadcast is realized by three steps: a first step of source multicast / broadcast for setting time distribution and data rate for each step, a second step of user feedback for allowing a user to use intercepted feedback channel information to analyze the cooperative contribution reasonably, determine if to cooperate and distribute the transmission power, a third step of user distributed cooperative transmission for allowing a cooperated user to process cooperative data in all paths by using equal-gain combination or maximum ratio combination so as to improve receiving performance. The method improves the effectiveness of cooperative transmission, reduces power consumption and improves the throughput and fairness of multicast.

The invention discloses a method for carrying out multi-objective optimization on parameters of a nonlinear MIMO (multiple input multiple output) PID (proportional-integral-derivative) controller, and is characterized in that: 1. optimization objective: under the premise of satisfying a condition that the maximum overshoot is 50% less than a preset value and the static error is 1% less than a preset value, the sum of accumulated errors is minimized, and the energy consumption is lowest; 2. an operation of optimization problem solving is performed by using a multi-objective genetic algorithm; and an operation of algorithm improvement comprises a step of introducing quaternary codes, crossover and mutation operators and an adaptive density information based elite reservation and strategy; and 3. the numeric selection range of parameters is set according to the algorithm provided by the method, and the parameters of the controller is optimized. The method disclosed by the invention has the advantages that an operation of repeated debugging is not required to be performed, the multi-objective optimization can be performed on parameters in a given mode, and parameters with small static error, small overshoot and low energy consumption can be found out quickly; the method is intuitive, easy to operate and can carry out multivariable control on the expansion of objects; and a first-order time delay model and a PID controller are widely used in the existing industrial process, and an object model facilitates the industrial measurement.

The invention discloses a user selection method and a device in a multi-input multi-output system. The user selection method comprises the following steps that: a user in a multi-input multi-output system transmits CSI to a base station; the base station calculates an MSE value of the user through the obtained CSI which is fed back by each user, the user with the minimum MSE value is selected as a first selected user, or the user with the largest F normal value is selected as a first selected user according to the F normal value of each user; and the base station calculates sum of the MSE value of each user to be selected and the selected user in the user gather to be selected and selects the user with the minimum MSE sum value as a second selected user, and the like, and the selection ofthe user in the multi-input multi-output system is completed until the current sum of the selected user is equal to the quantity of the sending antenna or the user gather to be selected is empty. By utilizing the method, the problem on how to carry out the user selection when the common-channel interference is not completely eliminated can be solved.

The invention relates to a gravity-assisted celestial body selection method for celestial body detection based on a contour map, and particularly relates to a gravity-assisted celestial body selection method for interstellar energy-saving flight, belonging to the field of aerospace technologies. The method comprises the following steps of: firstly, proposing a performance index of an intersected target celestial body according to task demand and giving out possible potential gravity-assisted celestial bodies by combining with the orbit feature of the target celestial body; secondly, obtaining the states of the target celestial body and the potential gravity-assisted celestial bodies through ephemerides of the target celestial body and potential gravity-assisted celestial bodies, and solving the Lambert problem from the gravity-assisted celestial bodies to the target celestial body to obtain the contour map of related performance indexes; thirdly, judging whether the celestial body can be used as the gravity-assisted celestial body flying to the target celestial body or not according to the contour map and a task constraint; and finally, combining an energy condition with the ephemerides of planets so that the problem of the selection of gravity-assisted celestial bodies in a deep space detection energy-saving flight task is effectively solved.

The invention discloses a production schedule prediction method and system based on data mining, and belongs to the technical field of automation. The method comprises the following steps of establishing a database, and storing historical data of part machining and workshop resource data; based on the historical data and a prediction algorithm, calculating a function relationship between the partmachining working hours and the working hour influence parameters; receiving a part production plan and a part technological procedure on the basis of the current part machining process and step to obtain a man-hour influence parameter of the current part machining process and a to-be-machined process; calculating the working hours of all current to-be-machined procedures of the machined parts; and calculating the machining starting time and the machining ending time of all the to-be-machined processes of the current machined parts to predict the production progress of the parts. On the basisof obtaining the calculation functions of all the working procedures and working hours of the machining workshop, the part production schedule calculation method under different machining states is provided, and a basis is provided for accurately predicting the part production schedule.

The invention provides a 3-droperidol derivative represented by a structural formula (I), wherein R is hydrogen, C1-C6 alkyl, aryl, benzyl, or a structure as the formula; R1 is hydrogen, C1-C18 alkyl, aryl, benzyl or hydroxymethyl; R2 is C1-C6 alkyl, aryl, benzyl or alkoxy; substitution positions of R2 on a benzene ring are 2-, 3-, 4-, 5-, 6- sites or a plurality of sites; and the previous groups are not substituted or substituted by one or more substituents selected from alkyl, alkyl halide, hydroxyalkyl, halogen, alkoxy, or hydroxyl. The invention also provides a preparation method of the 3-droperidol derivative. The preparation method is novel, the raw materials and the reagents are cheap, the reaction conditions are mild, and the operations are easy. With the method, produced 1-substituent-3-droperidol can be used as an important intermediate in novel medicine developing.

The MIPv6 vertical switch control method in multi-system network environment comprises: setting independent local management unit in every sub-network to measure data for network performance; evaluating the candidate network synthesizing all performance index and user preference by the switch decision module on mobile node; selecting the optimal network. This invention solves the optimal selection problem.

The method of selecting enciphering algorithm in radio communication system includes the following steps: configuring priority level information for each of the enciphering algorithms the access network admits; receiving and maintaining enciphering algorithm set of the terminal and the kernel network in the access network; the access network's selecting the enciphering algorithm with highest priority level from the enciphering algorithms the terminal, the kernel network and the access network admit, performing local configuration and informing the terminal and the kernel network to configure based on the selected enciphering algorithm; and performing the enciphered communication between the terminal and the access network in the selected enciphering algorithm after reaching the united activating time. The present invention solves well the priority and selecting problem of coexisting standard enciphering algorithms and non-standard ones and is universal.

The invention discloses a method of identifying and classifying transient electric energy quality recording data. The method includes the following steps: obtaining electric energy quality recording data, and screening training data and test data among the data; converting the data into a module time frequency matrix, and extracting a feature vector of the module time frequency matrix; according to the feature vector, establishing a classifier of the electric energy quality recording data on the basis of a BP neural network; establishing a training sample and a test sample; inputting the training sample into the classifier, optimizing the BP neural network of the classifier through a PSO algorithm, and obtaining an optimized classifier of the electric energy quality recording data on the basis of a PSO-BP neural network; inputting a test feature vector into the optimized classifier, and receiving test classification output from the optimized classifier; determining whether the test classification and expected test classification are consistent; and if the test classification and the expected test classification are consistent, outputting the test classification. The method has the advantages of being high in identification efficiency, being high in identification accuracy, and exhibiting the high anti-interference capability.

The invention provides a method for selecting a differentiated construction mode of a smart distribution grid. The method comprises the following steps of (1) constructing a typical differentiated construction mode of the smart distribution grid; (2) establishing a selection model for the differentiated construction mode of the smart distribution grid; and (3) determining a differentiated selection criterion based on a comprehensive evaluation method. According to the method, the differentiated selection of the construction mode of the smart distribution grid can be implemented for development requirements for different types of construction areas, and the technological economy for planning and construction of the smart distribution grid is improved, so that scientific and ordered development of the smart distribution network can be effectively pushed.

The invention relates to a plastic bag cultivation method of oyster mushrooms. Artificial plastic bag cultivation is carried out by using 44-66 percent by weight of wood pellets of magnolia branches after bark removal as a main culture medium and matching with the balance of other conventional culture medium contents which have a total C / N (Carbon / Nitrogen) ratio of 20-40 to 1. The wood pellets of the magnolia branches, which are fully soaked in water, are evenly mixed with other contents, sterilized, inoculated and cultured under a temperature condition suitable for the growth habits of the oyster mushrooms so as to obtain finished oyster products. The oyster products cultured by using the method have higher yield and protein content which are increased by 15-20 percent compared with the conventional culture method.

The invention discloses a nonlinear process monitoring method based on a multi-kernel principal component analysis model, and aims to establish and fuse KPCA models corresponding to a plurality of kernel functions, thereby avoiding the problem of kernel function selection, and implementing effective nonlinear process monitoring on the basis of the KPCA models. According to the method, firstly, allcommonly-used kernel function types are considered, and the kernel function selection problem is avoided. Therefore, the method is high in universality. Secondly, a plurality of different nonlinear process monitoring models are established by using a plurality of kernel functions respectively, so that the advantage of multi-model modeling is brought into full play. In other words, the fault detection effect of the method is not weaker than that of any process monitoring model using a single kernel function. By integrating the two advantages, the method provided by the invention overcomes thedefects of the traditional KPCA-based process monitoring method, and is a more preferable nonlinear process monitoring method.

The embodiment of the invention discloses an underwater sound target identification method based on a vessel radiated noise MFCC character. The method comprises the following steps: conducting angular domain framing operation on vessel target training radiated noise data; extracting the targeted MFCC character and differential MFCC character of vessel target radiated noise data for training and testing; obtaining an MFCC integrated character of the vessel target radiated noise data; training a multitask cutting prior hidden markov model on the MFCC integrated character of each frame of the vessel target training radiated noise data; calculating the conditional likelihood function value of the multitask cutting prior hidden markov model wherein the MFCC integrated character of the vessel target radiated noise data for testing corresponds to each frame of the vessel target radiated noise data for training; taking the categorical attribute of the frame of the vessel target training radiated noise data corresponding to the maximum conditional likelihood function value as the categorical attribute of vessel target testing radiated noise data. The method is used for improving the performance of underwater sound target identification.

The invention discloses a water-saving conditioning double-source stereoscopic irrigation method for fruit trees. The water-saving conditioning double-source stereoscopic irrigation method includes establishing double-source stereoscopic automatic control fruit tree irrigation systems. Water, fertilizers, pesticides and plant growth regulators are automatically regulated and controlled in due timevia intelligent irrigation decision making systems by the aid of earth surface drip irrigation systems and aerial atomizing droplet sprinkler irrigation systems. The water-saving conditioning double-source stereoscopic irrigation method has the advantages that the yield of the fruit trees can be greatly increased by the aid of the water-saving conditioning double-source stereoscopic irrigation method, and the water use efficiency of the fruit trees can be greatly improved by the aid of the water-saving conditioning double-source stereoscopic irrigation method; the problem that requirements onexcellent growth of existing fruit trees cannot be met by independent irrigation systems in regions under extreme climatic conditions can be solved by the aid of the water-saving conditioning double-source stereoscopic irrigation method; the air humidity of fruit tree cultivation environments under extreme drought conditions can be increased, transpiration effects of leaves of the fruit trees canbe deteriorated to a great extent, accordingly, water wastage can be prevented, and fruit tree cultivation can be sustainably developed; the water-saving conditioning double-source stereoscopic irrigation method is implemented by the aid of the intelligent irrigation decision making systems, accordingly, irrigation can be automatically precisely regulated and controlled on time as needed, the labor intensity can be relieved to a great extent, and labor force can be saved.

The invention discloses an automatic prediction method of network news expression distribution. The network news expression distribution indicates that multiple network users vote different news expressions to form the news expression distribution after browsing a piece of network news. The invention comprises the following steps: collecting network news data comprising network news samples and news expression user vote data of each sample; utilizing the collected data to carry out keyword selection and extracting the characteristics of each new sample; utilizing a probability label propagation algorithm to modify the distribution of the vote data; and automatically predicting the news expression distribution of a new network news sample by utilizing a machine learning algorithm based on instances. The automatic prediction method of the invention can be applied to predict the news expression analysis of network news and the news expression distribution of a new network news sample.

The invention discloses an underwater acoustic target identifying method based on ship-radiated noise optimization features. The underwater acoustic target identifying method based on ship-radiated noise optimization features includes steps that carrying out angular domain framing operation on ship target training-radiated noise data; extracting spectrum features of the target of ship target-radiated noise data for training and testing; carrying out power transform on the spectrum features to extract optimization features; determining parameters of the stick-breaking prior hidden Markov model of each frame in the ship target-radiated noise data; calculating testing ship target-radiated noise data optimization features and conditional likelihood function values of the stick-breaking prior hidden Markov models corresponding to frames of the ship target-radiated noise data for training; using the class attributes of the frame of the ship target training-radiated noise data corresponding to the maximum conditional likelihood function value as the class attributes of ship target testing-radiated noise data. The underwater acoustic target identifying method based on ship-radiated noise optimization features is used for improving the underwater acoustic target identifying performance.

The invention provides a method and a device for selecting a communication node. The device comprises a session management module, a database communication module and a communication node selection module, wherein the session management module is used for calling the database communication module to acquire node information of the session in a database cluster when a request triggered by a user for generating, updating or reading the session is received; and the communication node selection module is used for acquiring the node information from the database communication module and selecting available connection from a connection pool according to a predetermined rule to communicate with the database cluster, and the connection pool is used for storing connection between the device and nodes in the database cluster. Thus, the selection problem when distributed Session sharing clients are accessed to cluster nodes in a related technology is solved.

The invention relates to a method for calculating trust based on AIFS weight. The method is characterized in that one cloud service provider is selected to carry out interaction; a user requests one service grade for the cloud service provider according to a demand, wherein the service grade of the cloud service provider includes n service indexes and a form of a group of service index vectors is used to express; then an AIFS weight calculating method is used to determine weight of the service index vectors; the cloud service provider provides a cloud service for the request according to the requested service grade; the user evaluates the service according to the acquired cloud service so as to acquire an actual measured value of the service index vectors; and then according to the determined weight of the service index vectors, an evaluation value of the user to the cloud service provider is calculated; and the evaluation of the user to the cloud service provided by the cloud service provider determines a credit grade of the cloud service provider, global cloud service provider reputation calculation is performed and a total reputation value of the cloud service provider is acquired. The invention provides a cloud service provider optimization selection method which can be used to objectively and credibly evaluate a cloud service provider service result by the user.

The invention discloses an underwater acoustic target identifying method based on ship-radiated noise frequency domain fusion features. The underwater acoustic target identifying method based on ship-radiated noise frequency domain fusion features includes steps that carrying out angular domain framing operation on ship target training-radiated noise data; extracting power spectrum features and 1.5-dimensional spectrum features of a target of the ship target-radiated noise data for training and testing; obtaining the frequency domain fusion features of the radiated noise data; determining parameters of the stick-breaking prior hidden Markov model of each frame in the ship target-radiated noise data; calculating the frequency domain fusion features Xtest of the ship target-radiated noise data for testing and conditional likelihood function values of the stick-breaking prior hidden Markov models corresponding to frames of the ship target-radiated noise data for training; using the class attributes of the frame of the ship target training-radiated noise data corresponding to the maximum conditional likelihood function value as the class attributes of ship target testing-radiated noise data. The underwater acoustic target identifying method based on ship-radiated noise frequency domain fusion features is used for improving the underwater acoustic target identifying performance.

The invention discloses a meteorological station multi-source data integration method, which comprises the following steps: performing gridding division on a research area, removing an area which is not covered by a station, establishing a station mathematical programming model, and constructing a typical station and an alternative multi-source station; determining a secondary sampling period according to the sampling interval of the observation station and the final application requirement of the meteorological data, and carrying out secondary integration processing on the multi-source data by adopting a proximity value, interpolation and weighting mode in combination with the station type and the data time scale; and calculating to each grid point on the basis of the typical site integrated data. The method provided by the invention solves the problems of typical site selection with similar sites in a region, data integration of meteorological elements, acquisition frequency, inconsistent data time scales and the like, data loss, delayed uploading and the like, and can be applied to a data acquisition and processing unit system constructed by a meteorological system.