47results about How to "Improve search success" patented technology

The invention discloses a method and device for optimizing multi-constraint quality of service (QoS) routing selection. The method comprises the following steps: acquiring the topological structure and link parameters of an existing network in accordance with information of a prediction model; creating a corresponding multi-constraint QoS routing model in accordance with the determined topological structure and link parameters, and constructing penalty functions to transform multi-constraint conditions, as well as constructing fitness functions for evaluating paths; using a depth-first search method to acquire initial feasible paths and initializing particle swarms; calculating the fitness value of each particle, and finding out the optimal fitness value of the particle adjacent to each particle; using the generation algorithm and the genetic algorithm-particle swarm optimization (GA-PSO) to carry out iterative solution at the beginning of the initial feasible paths, and carrying out natural selection and variation operations; and finding out paths which meet conditions and are provided with the optimal fitness values, realizing optimal routing selection under the multi-constraint condition, and executing in accordance with the found routings.

The invention discloses an image type fire flame identification method. The method comprises the following steps of 1, image capturing; 2, image processing. The image processing comprises the steps of 201, image preprocessing; 202, fire identifying. The fire identifying comprises the steps that indentifying is conducted by the adoption of a prebuilt binary classification model, the binary classification model is a support vector machine model for classifying the flame situation and the non-flame situation, wherein the building process of the binary classification model comprises the steps of I, image information capturing;II, feature extracting; III, training sample acquiring; IV, binary classification model building; IV-1, kernel function selecting; IV-2, classification function determining, optimizing parameter C and parameter D by the adoption of the conjugate gradient method, converting the optimized parameter C and parameter D into gamma and sigma 2; V, binary classification model training. By means of the image type fire flame identification method, steps are simple, operation is simple and convenient, reliability is high, using effect is good, and the problems that reliability is lower, false or missing alarm rate is higher, using effect is poor and the like in an existing video fire detecting system under a complex environment are solved effectively.

The invention discloses an image enhancement and partition method, which comprises the following steps of I, image enhancement: a processor and an image enhancement method based on fuzzy logic are adopted for performing enhancement processing on an image needing to be processed, and the process is as follows: i, converting from an image domain to a fuzzy domain: mapping the grey value of each pixel point of the image needing to be processed to a fuzzy membership degree of a fuzzy set according to a membership function (shown in the specifications); ii, performing fuzzy enhancement processing by utilizing a fuzzy enhancement operator in the fuzzy domain; iii, converting from the fuzzy domain to the image domain; II, image partition: partitioning a digital image subjected to enhancement processing, i.e. a to-be-partition image, according to an image partition method based on a three-dimensional fuzzy division maximum entropy. The method is simple in steps, reasonable in design, convenient to realize, good in processing effect and high in practical value, and an image enhancement and partition process can be simply, conveniently and quickly completed with high quality.

The present invention provides a hierarchical codebook structure design method of a joint method used for the wireless communication technology. The codebook designed by the invention satisfies two design principles that all code words in a same layer needs to cover a whole space, the space coverage range of any code word in any layer of a codebook must be the set of the code words in a next layer; at the same time the lobe width of a kth layer is 2/2k, and the codebook of a last layer uses an expression form of a channel pointing vector. In the time of generating the code words of each layer, firstly the first code word of each layer is generated, then the code word is rotated to point to different directions, and all code words of the layer can be constructed. The hierarchical codebook designed by the invention is employed to carry out searching, the convergence rate of a search method is fast, the search success rate is high, the gain of beamforming is high, the receiving power is large at any stage, the utilization rate of emitting power is high, and the robustness is good in a condition of multiple paths.

The invention belongs to the technical field of information processing and particularly relates to a voice identification method and apparatus. The voice identification method can comprise the following steps of receiving voice information sent by a client; according to voice fragments I in a first database, identifying the voice information; if a keyword in the voice information cannot be identified, matching the voice information according to voice fragments II in a second database; if the voice fragments II in the second database can be matched with the voice information, calling text fragments II corresponding to the voice fragments II in meaning; combining the text fragments II into text information; according to the text fragments I in the first database, identifying a keyword in the text information; and according to the keyword, searching out related contents. The method can be applied to a server so as to lower the requirements on a client user and increase the search success rate of the user.

The invention relates to a method for optimal placement of unpopular resource indexes in a peer-to-peer network. According to the method, mathematical abstraction is performed on node selection of buffer indexes and balanced placement of the indexes in the peer-to-peer network, and a model for resource optimal placement is provided in a mathematical angle, so that the success rate of searching unpopular files in the peer-to-peer network is improved, the expenditure of the buffer indexes is lowered, and the total expenditure of the whole network is lowered to make the network have higher extensibility.

The embodiment of the invention provides wearable equipment and a searching system and method. The searching system comprises wearable equipment, detection equipment and a server which are in communication connections with one another, wherein the wearable equipment switches to activation states and transmits wireless signals outwards after receiving searching signals transmitted by the detection equipment; at least three pieces of detection equipment record time data and angle data of a wireless signal after the wireless signal transmitted by the same wearable equipment arrives at the detection equipment, and transmit the time data and angle data to the server; and the server processes the time data and the angle data after receiving the time data and the angle data in order to calculate position information of the wearable equipment, and returns the position information to the detection equipment in order to prompt a rescuing worker to perform rescue immediately. Through adoption of the searching system, the searching accuracy is increased in an active searching way, and the searching success rate is increased.

The invention discloses a laser guiding device for underwater docking. The device comprises a can-be-modulated laser module, a parallel collimation module, a high speed two-dimensional scanning galvanometer, a central processing module and a laser reception module, wherein the high speed two-dimensional scanning vibrating mirror is controlled by the central processing module for making the can-be-modulated laser module emit laser to form a spatial conic scanning laser beam, an angle code of the spatial conic scanning laser beam is acquired through a photoelectric detector, the angle code acquired by the photoelectric detector is read and analyzed by an underwater navigation device end, and then the angle information relative to a docking platform can be acquired through querying the pre-set information, self attitude is continuously adjusted according to the angle information, the underwater navigation device end moves to the docking platform to accomplish docking, and the underwater searching success rate is improved.

The invention relates to an unexpected upward floating early warning searching system and an unexpected upward floating early warning searching method for underwater monitoring equipment. The system and the method solve the problem of low searching success ratio in the prior art and have the main technical scheme that the unexpected upward floating early warning searching system comprises a terminal device and a central monitoring station; a main control module is electrically connected with a positioning device, a communication module, sensors and an indicating lamp; the electric power of the indicating lamp, the sensors, the communication module, the main control module and the positioning device is respectively supplied by a power supply module; the communication module, the main control module, the positioning device and the power supply module are respectively arranged in a seabed base in a filling way; the indicating lamp is arranged on the upper surface of the seabed base; the sensors comprise a pressure sensor and a photosensitive sensor; the photosensitive sensor is arranged on the upper surface of the seabed base; the pressure sensor is arranged in the seabed base; the central monitoring station comprises a wireless communication module and a central station; the wireless communication module is electrically connected with the central station; and the wireless communication module is in communication connection with the communication module through a wireless communication network. The unexpected upward floating early warning searching system and the unexpected upward floating early warning searching method have the advantage of high searching success ratio.

The invention provides an underwater target localization method based on a genetic MUSIC algorithm, so as to improve the search success rate, reduce the iterative calculation amount, and improve the precision, and enhance the real-time effect. The method belongs to the field of underwater detection. The method provided by the invention comprises the steps that S1 array receiving data for underwater target positioning are acquired; the MUSIC algorithm is combined to acquire an expression of the MUSIC spectrum; and the expression is used as an fitness function; S2 parameters of the genetic algorithm are set, and an initial population is determined; S3 the fitness function in S1 is used to evaluate the fitness of each individual in a contemporary population, and the fitness magnitude is calculated; S4 whether the contemporary population satisfies a preset stop iteration condition is determined; if so, turning to S6 is carried out; if not, turning to S5 is carried out; S5 through selection, crossover and mutation operations, the contemporary population generates offspring to build the next generation of population, and turning to S3 is carried out; and S6 iteration is stopped; the individual optimal solution in the contemporary population is output; the incident angle of a target is determined by judging the fitness.

The invention discloses a method for searching the position of SYNC-DL. The method comprises the following steps: correlating each candidate SYNC_DL with signals in a characteristic window in a sliding manner, and acquiring the correlative peak of each candidate SYNC_DL in each time slice; calculating the ratio of the correlative peaks of each candidate SYNC_DL in each time slice and the neighboring time slice to obtain the correlative peak ratio of each candidate SYNC_DL in each time slice; recording the maximal correlative peak ratio of each candidate SYNC_DL in each sub-frame, and the time slice to which the maximal correlative peak ratio belongs; and summing the maximal correlative peak ratio of each candidate SYNC_DL in the same time slice in each sub-frame when the searching period is ended to obtain the maximal correlative peak ratio of each candidate SYNC_DL in the searching period, wherein the candidate SYNC_DL corresponding to the maximal value and the corresponding time slice are respectively the SYNC_DL used at the network side and the position of the SYNC_DL. The invention also discloses a device for searching the position of SYNC-DL.

The invention relates to a pulse defect based radar signal characteristic sequence search method, and mainly solves the problem of radar signal characteristic sequence search failure caused by loss ofcaptured pulse defects. The method is implemented by the steps of 1, calculating a time difference of arrival between each pulse and a previous pulse in an input pulse cache; 2, carrying out carrierfrequency, pulse width and amplitude tolerance condition judgment on input pulses; 3, performing time-difference-of-arrival tolerance condition judgment on the input pulses; 4, searching and confirming a radar signal characteristic sequence head; 5, searching a complete radar signal characteristic sequence; and 6, judging the pulse number of each pulse sequence obtained by searching, and outputting all characteristic sequences meeting the conditions. The method is beneficial to the improvement of the radar signal characteristic sequence search success rate and can be used for a radar passive detection system.

The invention discloses a reciprocating searching and routing method for an extreme group of noisy variable-frequency oscillation attenuation signals. The reciprocating searching and routing method comprises a noisy variable-frequency oscillation attenuation signal acquisition step of an engineering system, and further comprises the following steps: (1) setting the searching method; (2) extracting an attenuation signal with duration of 8Td to generate a prepared array {x}'; (3) implementing forward searching by adopting the searching method 1 and taking {x}' as a universe to find out the maximum convex peak Mi in the universe and the position thereof; (4) adopting the searching method 2 to build a target array {x}; (5) adopting the searching method 3 to find out the maximum convex peak M' and the position thereof in the {x} universe; (6) adopting the searching method 1 to find out the secondary big convex peak Mi+1 and the position thereof; (7) obtaining the extreme group and the track of the noisy variable-frequency oscillation attenuation signal. The reciprocating searching and routing method can reduce the misjudgment rate of computer programs, improve the searching success rate and can be widely applied to mechanical systems and electric systems.

The invention relates to a network searching method and device, computer equipment and a storage medium. The method comprises the following steps that a terminal searches a broadcast signal of a second network according to configuration information of a first network, and if the broadcast signal of the second network is searched according to a first time domain in the configuration information, the current network of the terminal is switched from the first network to the second network; if the broadcast signal of the second network cannot be searched according to the configuration information, it is indicated that the broadcast signal is not in the first time domain in the configuration information, that is, offset exists between the first time domain and the broadcast signal, a second time domain is adopted to search the broadcast signal of the second network, wherein the time domain length of the second time domain is greater than the time domain length of the first time domain, i.e., expanding the time domain to search the broadcast signal, so the search success rate of the broadcast signal is improved, the terminal can search the broadcast signal of the second network without being interfered, and the current network is switched from the first network to the second network.

The invention provides an automatic control method and an automatic control system for a direct-current micromouse which are used for solving the problems of low response speed, out-of-step, oscillation and collision of a controlled object of the micromouse. The invention discloses an automatic control method for a direct-current micromouse. The method comprises the steps of obtaining a tracking speed and a tracking acceleration according to a running target speed and obtaining an observation disturbance, an observation speed and an observation acceleration are obtained according to an actualspeed based on the acquisition of the current running target speed and the actual speed of the direct-current micromouse, obtaining a tracking speed error and a tracking acceleration error after subtraction, and obtaining a system control quantity through a nonlinear feedback link to achieve the automatic control of the direct-current micromouse. According to the invention, an ADRC algorithm is utilized to automatically control the direct-current micromouse, the speed tracking error and the acceleration and deceleration switching frequency in the operation process of the micromouse are effectively reduced, the accurate control over the direct-current micromouse is achieved, the searching time, the sprinting time and the collision frequency of the direct-current micromouse to a destinationare effectively reduced, and the success rate of search is increased.

An embodiment of the invention discloses a topic searching method and a device. The method includes steps of acquiring a subject picture of a target subject shot by a camera and grade data input by auser; confirming the type of the target topic according to the subject picture and the grade data; if the type of the target subject is an image type, extracting local characteristics of the subject picture of the target subject; acquiring analysis data matched with the target subject according to the extracting local characteristics of the subject picture. Through the technical scheme of the invention, the problem of low searching success rate by applying regular searching method to solve some subjects with more pictures which can be solved when the topic searching APP is in use can be solved; the success rate of topic searching is improved.

The invention discloses a method for searching the maximum absolute value of reciprocal noise-containing fitted square waves. The method includes the following steps that: a sampling frequency is set, and equal-duration array acquisition is performed on the noise-containing fitted square waves, so that an array {x} can be obtained, and the length of the array {x} assuredly cover 4 to 5 noise-containing fitted square waves; absolute value traversal is performed on the array {x}; and all data in the array {x} which has been subjected to absolute value traversal are sequenced according to a small-to-large order, and the last datum is the maximum absolute value in all the data in the array {x}. With the method of the invention adopted, the maximum absolute value of the reciprocal noise-containing fitted square waves of which the minimum period is Td can be automatically determined, and the misjudgment rate of a computer program can be decreased, and the success rate of search can be improved. The method is applied to occasions presenting a reciprocal noise-containing fitted square wave form, such as a metro platform screen door maximum kinetic energy test system.