53results about How to "Reflect the difference" patented technology

The invention discloses an urban population distribution method based on building properties. The method comprises the specific steps that all building information and building periphery interest point information in an electronic map are obtained according to an urban longitude and latitude coordinate range; the electronic map is queried targeting a certain population statistic region, coordinates of the population statistic region are determined, and the gross population in the region is queried; all buildings in the population statistic region are screened out according to building locations and boundary angle point coordinates of the population statistic region; social activity properties of the buildings are inferred; population attraction coefficients, at different time unit areas, of the buildings of different social activity property types are set, and the population in the population statistic region is distributed into each building in the region to obtain building-grade population distribution; and all population statistic regions in a city are traversed to obtain urban population distribution. The method is applied to building-grade urban population distribution, the problem of rough urban population distribution scale can be effectively solved, and population distribution timing difference is reflected.

The invention belongs to the technical field of image processing, and particularly discloses an SAR image target recognition method based on non-negative matrix factorization of sparse constraint. According to the method, more effective features are extracted by improving a non-negative matrix factorization method to improved recognition precision, and the problems that features extracted in the prior art are not typical and recognition precision is not high are solved. According to the method, a training sample image and a test sample image are pre-processed in the same way, logarithmic transformation is carried out, a pre-processed training sample set is factorized through non-negative matrix factorization of sparse constraint to obtain a basis matrix and a coefficient matrix, a test sample set is projected in a sub space of a basis matrix structure, classification is carried out through an SVM after a feature matrix is obtained, and then classification accuracy is obtained ultimately. Compared with the prior art, the extracted features are more effective and recognition precision can be effectively improved.

The invention discloses a comment information quality evaluation method and system. The method includes the following steps that: an entire comment text is obtained; equal-information amount short sentence segmentation is performed on the entire comment text, so that short sentence units can be obtained; the information entropy-based information values of the short sentence units are determined; the weights of the information values of the short sentence units are adjusted on the basis of industry information; and the quality of the entire comment text is determined according to the information values of the short sentence units. The invention also discloses a comment information processing method and system. With the methods and systems of the invention adopted, the objective and accuratequality evaluation of comment information can be realized, and thus, more effective reference information can be provided for user transactions.

The invention discloses a visual word bag feature weighting method and system based on classification drive. The method comprises the steps that images are downloaded from the Internet, and an image database is established; the visual word bag features of all N images in the image database are extracted; the reverse index of the visual word bag features of all N images is established; N1 images and corresponding visual word bag features are extracted randomly from the image database; the N1 images are made to form C visual classes through a clustering algorithm; images are chosen randomly from each visual class to form a study sample set of the visual class; a weighting study sample set of the visual word bag features is established on the study sample set of the visual class for each visual class; the weighting study sample sets are used for training the visual classes to form supporting vector machine judging modules of the visual classes. The visual word bag feature weighting method and system based on classification drive can solve the technical problems that index precision is low, and the difference among different searching images can not be excavated in an existing method.

The invention provides an automatic charging cover opening and closing system based on car logo recognition. The automatic charging cover opening and closing system comprises an induction box arranged beside an electric car charging position. The induction box is provided with a parking state detection module, a charging cover opening and closing trigger signal module, an inductive control module, an image recognition module and a camera. The automatic charging cover opening and closing system further includes an opening and closing signal induction module, a charging cover opening and closing control module, a driving module, a charging gun induction module and a charging cover opening and closing executive module which are arranged inside a car body. The output end of the camera is connected with the image recognition module. The output end of the image recognition module and the output end of the parking state detection module are connected with the input end of the inductive control module. The charging cover opening and closing executive module includes an electric control rotary device. An output shaft of the electric control rotary device is connected with a transmission gear. A rotating shaft of a charging cover is provided with a matching connection gear engaged with the transmission gear. The automatic charging cover opening and closing system has the beneficial effects that there is no need to manually open or close the charging cover of an electric car, the manual operation procedures are reduced, and efficiency is high.

The invention discloses a sea and land clutter scene segmentation method based on direct current component ratio measure, which is mainly used for solving the problem that the segmentation quality in the prior art is poor. The technical scheme is as follows: 1. transmitting a pulse signal by a radar transmitter, and receiving echo data by a radar receiver, wherein an echo sequence in each resolution cell of the echo data is X; 2. calculating a direct current component ratio in each resolution cell by the X to obtain a direct current component ratio matrix W of all resolution cells; 3. converting W into a gray level image H, and carrying out median filter on the gray level image; 4. carrying out initial threshold segmentation on the gray level image H after the median filter by using a maximum between-cluster variance threshold segmentation method to obtain an initially segmented image B; and 5. carrying out morphological filter on the initially segmented image B to obtain a final clutter scene segmentation result Z. The sea and land clutter scene segmentation method disclosed by the invention is used for improving the sea and land clutter scene segmentation quality and meeting the real-time scene segmentation requirements, and can be applied to sea and land clutter scene segmentation under shore-based radar conditions.

The invention provides a step-by-step footprint identification method combined with footwork features, which is characterized by comprising an off-line training process and an on-line identification process. The method comprises the steps of acquiring a step-by-step footprint image to be trained by the acquisition unit, and obtaining the initial step-by-step footprint image data set to be trained;extracting a single footprint from the footprint image to be trained; constructing a footwork energy map of the step-by-step footprint image to be trained; extracrting the step features of the footprint images to be trained for coarse-grained classification, and constructing a coarse-grained classification model according to the extracted step features; then constructing a fine-grained recognition model according to the energy map and the coarse-grained classification model. According to the principle of triangular stability, by using the weighted average of three single footprints to get thefootprint energy map as the discriminant image, the matching error is reduced by weighted average of footprints collected in different time periods, and the relative relationship between the left andright feet is maintained, which is the fusion of footprint characteristics and fully reflects the difference of footprints.

The invention provides an ICD (Interface Control Document) integrated management tool. The ICD integrated management tool (namely an internal integrated design tool) consists of a definition design tool, a version maintenance tool, an interface output conversion tool and a system authority review tool, and is connected with a database management tool through a local area network, wherein the definition design tool is used for setting input and output of each module of a project management system and a bus management system in a grading manner in a visual design mode and an intuitive bytes and bit fields parallel design mode; the version maintenance tool forms a whole set of finished version specifications for ICD maintenance by virtue of different version repositories generated in an ICD; the interface output conversion tool is used for converting the ICD into an XML (Extensive Makeup Language) document describing the ICD by virtue of an XML document output system, and provides a whole set of complete conversion interface; and the system authority review tool guarantees the hierarchical authority and the confidential level of the ICD. By virtue of the ICD integrated management tool, the design of the ICD can be simpler, the management of the ICD can be more systemized, and the maintenance of the ICD can be more traceable.

The invention provides a method and a system for implementing centralized operation and maintenance management of information systems and belongs to the technical fields of network real-time transmission, data consistency verification, data isolation and the like. Local operation and maintenance monitoring systems of the information systems monitor respective information systems, and monitoring data, early-warning data and added monitoring resources are pushed to a centralized operation and maintenance management system in real time; the centralized operation and maintenance management system receives these data, persists these data into a database to serve as historical data and displays the latest data on pages. An explicit operation and maintenance target and direction can be provided for operation and maintenance persons, and the operation and maintenance cost can be reduced.

The invention relates to a Paphia undulate ecological ice-temperature keeping-alive circulation method. The Paphia undulate is purified for 24 hours in germfree seawater prepared by ultraviolet sterilization. The factors such as temperature, seawater flowrate, shellfish-water ratio, etc. are controlled by taking the indexes of total number of bacteria and coliform group. After the purification is qualified, the shellfishes are subpackaged and then carried out the ecological ice-temperature keeping-alive circulation with water or without water. The invention combines the purification technology and the keeping-alive technology, which is simple and systemic, is fit for popularizing, thus not only solving the eating safety problem of the shellfish, but also solving the key problem that the Paphia undulate is difficult for keeping-alive circulation aiming at the biological metabolic characteristic of the specific shellfish in Hainan area.

The invention discloses an automatic detection method for uraniscolalia pharyngeal fricatives based on a multi-delay four-order-cumulant-octave FTSL spectral line, and relates to the field of voice signal processing. The detection method comprises the following steps: (1) carrying out signal preprocessing, namely, carrying out framing, pre-emphasis and amplitude normalization on input consonant signals; (2) extracting the features of voice signals, namely, extracting FTSL spectral line features in the frequency domain of the multi-delay four-order-cumulant of each frame of voice, and carryingout equal-ratio mean value envelope array extraction in the time domain; and (3) after the time domain and FTSL spectral line signal features of the voice signals are extracted, carrying out automaticclassification on the voice signals by adopting the combined classifier recognition algorithm in combination with the time domain equal-ratio envelope mean value array and the FTSL spectral line features, and outputting the classification result. Compared with the prior art, the method provided by the invention has the advantages that the detection result is objective and accurate, the automaticmeasurement with relatively high degree can be realized, thus reliable reference data are provided for the digital evaluation of pharyngeal fricatives clinically, the accurate medical development demand is conformed, and more accurate and effective signal classification recognition is carried out.

The invention provides a method and a system for evaluating the sustainable development of a nature reserve. Based on the Net Primary Productivity (NPP) data of each type of land in the target naturereserve, the equilibrium factors and yield factors of each type of land are determined respectively, which fully reflects the differences among different types of land and overcomes the problem of parameter elasticity insufficiency in the existing ecological footprint method. At the same time, the per capita ecological footprint and per capita ecological carrying capacity of the target nature reserve are calculated based on the improved equilibrium factor and yield factor, according to the per capita ecological footprint and per capita ecological carrying capacity, the method and system can accurately and quantitatively evaluate the sustainable development status of the target nature reserves, help to determine whether the intensity of human activities in nature reserves exceeds the ecological carrying capacity, provide scientific basis for the management and decision-making of nature reserves, and provide guidance for promoting the construction of ecological civilization.

The invention discloses a high safety APUF circuit structure comprising n+1 / 2 units and two arbiters. Each unit comprises four phase inverters and four 4-to-1 multipath selectors. The circuit structure comprises four signal paths. Each signal path is formed by one phase inverter and one multipath selector of each unit through spaced arrangement. Every two excitations of the input excitations formthe address input end signal of the multipath selector, and the four data input ends are connected with the four phase inverters to form cross connection. The output end of the multipath selector is connected with the phase inverter of the next unit and the data output ends of the first and fourth multipath selectors of the last unit are connected with the same arbiter, and the data output ends ofthe remaining two multipath selectors are connected with the other arbiter and Exclusive OR operation is performed according to the output of the two arbiters so as to obtain the response. Each excitation is corresponding to one structure and there is no fixed model so as to have high model attack resistance capacity and high uniqueness.

The invention discloses a multi-agent-based simulation method of information propagation and public opinion evolution. The method comprises: selecting a scale-free network as a medium for simulation;constructing a propagation will negative index model of a netizen individual; defining an interaction rule between netizen attributes and netizen groups and constructing a netizen's continuous viewpoint evolution model based on the interaction rule; and combining information propagation and netizen public opinion viewpoint evolution processes, simulating information propagation and viewpoint evolution, and operating the model till preset time is reached. According to the invention, with introduction of the information propagation, the interaction rule of netizens, and the diversified attributedefinition, the rule of simultaneous propagation of the public opinion and the information in a true society is reflected well. The differences among netizens are reflected; and the rules of information dissemination and public opinion evolution are discovered.

The invention provides a service request processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps of obtaining a service request, wherein the service request comprises to-be-processed statements; analyzing the to-be-processed statement to obtain a to-be-matched statement template; matching the to-be-matched statement template with a preset statement template stored in a database to obtain a target operation intention corresponding to the successfully matched preset statement template, the preset statement template being pre-defined and created by a user; and awakening the corresponding service according to the target operation intention. According to the embodiment of the invention, a to-be-matched statement template is used; according to the embodiment of the invention, the to-be-matched statement template is acquired according to the preset statement template, then the to-be-matched statement template is matched with the preset statement template to acquire the target operation intention, so that the corresponding service is awakened according to the operation intention, and the presetstatement template is customized and created by the user according to own habits, so that the to-be-matched statement template can be accurately matched and the service awakening accuracy is improved.

The invention discloses an energy aggregation degree measure-based sea and land clutter scene segmentation method. The main objective of the invention is to solve the problem of poor segmentation quality in the prior art. According to the technical schemes of the invention, the method includes the following steps that: 1, a radar transmitter is utilized to transmit pulse signals, a radar receiver receives echo data, and an echo sequence in each resolution unit of the echo data is X; 2, over-M sampling Fourier transform is performed on X, so that the frequency sequence Y of the echo sequence in each resolution can be obtained; 3, Y is utilized to calculate an energy aggregation degree matrix E; 4, E is converted into a gray image H, and median filtering is performed on the gray image H; 5, threshold initial segmentation is performed on an image H1 which is obtained after the median filtering through utilizing an Otsu threshold segmentation method, so that an initially-segmented image B can be obtained; and 6, morphological filtering is performed on the image B, so that a final clutter segmentation result Z can be obtained. With the energy aggregation degree measure-based sea and land clutter scene segmentation method of the invention adopted, the quality of sea and land clutter scene segmentation can be improved, and real-time scene segmentation requirements can be satisfied. The method can be applied to sea and land clutter scene segmentation under a moving or static coherent system platform.

The invention relates to a storage method and a device. The storage device comprises the following steps: classifying storage contents, respectively allocating storage space for each type of the storage contents, and storing the storage contents into corresponding storage space according to types of the storage contents. The storage method and device can reduce the amount of codes for software development, improve the development efficiency, and enable products to be personalized and differentiated.

The invention discloses a sea-land clutter scene segmentation method based on energy concentration measure, and mainly aims to solve the problem that the quality of segmentation is poor in the prior art. According to the technical scheme, the method comprises the following steps: (1) emitting a pulse signal through a radar emitter, and receiving echo data through a radar receiver, wherein the echo sequence in each resolution cell of the echo data is X; (2) carrying out over-M sampling Fourier transform on X to get the frequency sequence Y of the echo sequence in each resolution cell; (3) calculating an energy concentration matrix E based on Y; (4) converting E into a gray image H, and carrying out median filtering on the gray image H; (5) using a maximum between-cluster variance threshold segmentation method to initially segment the threshold of an image H1 obtained through median filtering to get an initially-segmented image B; and (6) morphologically filtering the image B to get a final clutter scene segmentation result Z. The quality of sea-land clutter scene segmentation is improved. The sea-land clutter scene segmentation method meets the requirement of real-time scene segmentation, and can be used in sea-land clutter scene segmentation under a moving or stationary coherent system platform.

The invention discloses an electric vehicle detection and alarm method, device, equipment, medium and system. The method comprises the steps of obtaining an image in a monitoring area, inputting the image into a pre-trained electric vehicle detection model, detecting a vehicle body overall detection frame and a vehicle body local detection frame of a vehicle in the image based on the electric vehicle detection model, determining coarse category information of the corresponding vehicle based on the vehicle body overall detection frame, and determining local feature information of the corresponding vehicle based on the vehicle body local detection frame, and determining whether the vehicle is an electric vehicle based on the coarse category information of the vehicle and the local feature information of the vehicle. Compared with the scheme in the prior art, the feature of the vehicle local feature information is added, the difference between the electric vehicle and other vehicles can be better reflected, the false detection rate of the electric vehicle is reduced, and therefore the accuracy of electric vehicle detection is improved.

The invention discloses a real-time comprehensive fault rate calculation method and system for power distribution equipment, and the method comprises the steps: carrying out the statistics of fault factors of power distribution equipment in a to-be-evaluated region, and dividing the fault factors into two types: gradient fault factors and sudden fault factors according to the intensity of the impact on the fault rate of the power distribution equipment from the fault factors; calculating the fault rate lambda'of the power distribution equipment under the influence of the gradient fault factoraccording to the online monitored operation and maintenance data of the power distribution equipment to be evaluated and the synergistic effect between different gradient fault factors; calculating the sudden potential fault rate lambda ''of the power distribution equipment according to the real-time intensity, the equipment level and the grid structure level of the sudden fault factor of the environment where the to-be-evaluated power distribution equipment is located; and calculating the real-time comprehensive fault rate lambda re = lambda '+ lambda' 'of the to-be-evaluated power distribution equipment. According to the method, the influence of equipment operation risks, the intensity of sudden fault factors and equipment and grid structure levels on the potential fault rate is considered, and the real fault rate of the equipment can be reflected more accurately.

The invention discloses a doll machine system capturing a player expression automatically. An inner cavity of a doll machine main box body carries a pad display screen; the bottom of the pad display screen is provided with a doll falling window, an ultrasonic detection radar is clamped on the inner wall of the doll falling window, an output end of the ultrasonic detection radar is provided with abackground control system, and an output end of the background control system is provided with a viewfinder camera. According to the doll machine system capturing the player expression automatically,the ultrasonic detection radar transmits an electric signal generated during falling of a doll to the background control system, the background control system transmits a photographing command to theviewfinder camera, the pad display screen receives and displays a real picture, and the player can see the real-time expression picture when grabbing the doll. The player expression capturing functionhelps make the player happier, records moments, embodies difference and characteristic of the product, and maximizes the psychology of entertainment of the player.

The invention relates to a resident load distributed coordination control method considering the dynamic hot spot temperature of a transformer. The method comprises the following steps: 1) constructing a resident load electricity utilization rolling optimization model according to a transformer aging model and a resident load model; and 2) carrying out modular decomposition on a centralized problem of the resident load electricity utilization rolling optimization model, introducing a Lagrange multiplier vector, solving the centralized problem by adopting a distributed algorithm, and finally obtaining an optimal coordination control scheme. Compared with the prior art, the method has the advantages that the operation economy of a power distribution network is improved, safe operation of thetransformer is guaranteed, intelligent dynamic blocking management is achieved, load privacy data does not need to be collected, coordination control over large-scale loads is adapted, and the difference of the loads is embodied.

The invention discloses an image classification method based on semi-supervised weighted migration discriminant analysis, and belongs to the technical field of machine learning. According to the method, difference weights of samples are introduced on the basis of a traditional feature migration method, a feature migration classification model is constructed, and the problem of image cross-domain classification is solved. The method comprises the following steps: firstly, designing a cross-domain mean approximation weight; secondly, the cross-domain mean approximation weight is introduced into the maximum mean difference measurement MMD, and the joint distribution adjustment JDA is improved and transformed; thirdly, adding semi-supervised discriminant analysis SDA, fully mining the label information and original space structure information of data, and improving the category separability of the algorithm. According to the method, high-quality shared features between the fields can be effectively extracted, the migration efficiency of knowledge between the fields is improved, and higher classification precision is obtained.

The invention relates to a Paphia undulate ecological ice-temperature keeping-alive circulation method. The Paphia undulate is purified for 24 hours in germfree seawater prepared by ultraviolet sterilization. The factors such as temperature, seawater flowrate, shellfish-water ratio, etc. are controlled by taking the indexes of total number of bacteria and coliform group. After the purification isqualified, the shellfishes are subpackaged and then carried out the ecological ice-temperature keeping-alive circulation with water or without water. The invention combines the purification technology and the keeping-alive technology, which is simple and systemic, is fit for popularizing, thus not only solving the eating safety problem of the shellfish, but also solving the key problem that the Paphia undulate is difficult for keeping-alive circulation aiming at the biological metabolic characteristic of the specific shellfish in Hainan area.

The invention discloses an application program hot update method and device, and the method comprises the steps: responding to the starting of an application program on a client, so as to obtain version information and use information of a user; based on the version information, a server in communication connection with the client side is used for judging whether updating is needed or not, and user portraying is carried out according to the use information; if yes, corresponding update selection information is pushed to the client based on the user portrait, so that the user can select part of content from the updatable content to update, and personalized update setting is realized; in response to setting information obtained by personalized updating setting, issuing a corresponding updating data packet to the client based on the setting information so as to realize hot updating of the application program; the method has the beneficial effects that the versions obtained by different user groups are different, the difference among the different user groups is fully reflected, the personalized pursuit of the different user groups on the hot update of the application program is realized, and the diversity and flexibility of the hot update are improved.

The invention discloses a novice driver driving skill improving assistant system based on a Logistic model. The system is characterized in that physiological state information of a driver is detectedin real time, and the Logistic regression model is used for analyzing and judging the probability that the driver is nervous; when the probability exceeds a set probability, a surrounding scene is collected, the acquired surrounding scene is identified, the optimal scene with the highest matching degree with the surrounding scene in set scenes of a database is found out, and the optimal scene is output to a driver mobile terminal; corresponding advices are given to the driver by the driver mobile terminal according to the optimal scene, and therefore the driving skill of the novice driver is improved.

The invention provides a smoothing filtering detection feature extraction method based on a quantization difference co-occurrence matrix, a small-size image smoothing filtering detection algorithm and an image splicing area positioning method. The feature extraction method comprises the following steps: for an image In to be subjected to feature extraction, calculating to obtain difference images of the image In, quantizing each difference image, obtaining quantized difference images, and carrying out truncation processing on each difference image and a difference value in each quantized difference image; respectively calculating corresponding co-occurrence matrixes for each image and each image after truncation processing, and respectively recording the co-occurrence matrixes as a difference co-occurrence matrix and a quantization difference co-occurrence matrix; respectively carrying out average processing on the differential co-occurrence matrixes in the horizontal / vertical direction and the diagonal direction to obtain two co-occurrence matrixes Mh / v and Md; averaging the quantized difference co-occurrence matrixes in the horizontal / vertical direction and the diagonal direction to obtain two co-occurrence matrixes M'h / v and M'd; and combining the four co-occurrence matrixes Mh / v, M'h / v, Md and M'd into a feature W as a detection feature of the image In.

The invention discloses a simulation method for information dissemination and public opinion evolution based on multi-agents, which comprises the following steps: selecting a scale-free network as a simulation medium; constructing a negative index model of the individual netizen's willingness to spread; defining the attributes of netizen and the netizen Interaction rules between groups, based on the interaction rules to build a continuous opinion evolution model of netizens; information dissemination is combined with the evolution process of netizens’ public opinion opinions to simulate information dissemination and opinion evolution, and the model stops at a preset time step. By introducing information dissemination, netizen interaction rules and various attribute definitions, the present invention can better reflect the law of public opinion and information dissemination together in the real society, reflect the differences among netizens, and discover the relationship between information dissemination and public opinion evolution law.