80results about How to "Fit the actual needs" patented technology

The invention discloses a resource adjusting method and device of an application service system. The method comprises, according to the parameter values of reserved resources which are collected in real time or periodically, determining whether to perform dilatation or shrinking adjustment; based on resource adjusting schemes in two directions, including a longitudinal resource adjusting scheme for increasing or reducing the resources on the basis of the inside of virtual machine systems and a transverse resource adjusting scheme for increasing or reducing the number of the virtual machine systems on the basis of application templates, preferably selecting a longitudinal dilatation direction during the dilatation, and preferably selecting a transverse reduction method during the reduction; according to a finally-determined increase or reduction direction, adjusting the resources of the application service system. According to the resource adjusting method and device of the application service system, resource allocation can be diversified in granularity, actual requirements and resource saving principles can be better met, and accordingly the resource utilization rate can be improved.

The invention discloses a load predicting method of a cloud data center. The method comprises steps of: acquiring historical data of the cloud data center and normalizing the historical data; computing correlation between CPU historical data and other performance indexes; extracting a time window; extracting features; fusing the features: splicing the acquired performance indexes and then inputting the spliced performance indexes into an own-coding neural network in order to further compress the spliced performance and finally obtain a common compression characteristic; performing manual intervention; performing supervised learning; and predicting a result. The method may discover a potential change signal so as to accurately grasp a change direction and get close to an actual demand. The method may increase prediction accuracy by 5 to 10 percent in practical application.

The present invention discloses an image evaluation method and device, a server and a storage medium. The method comprises the steps of: obtaining a feature set of an image, wherein the feature set comprises image subjective parameter features and / or image objective parameter features; and inputting the image feature set into a deep learning model which completes training, and obtaining an evaluation result of the image, wherein the deep learning model is obtained through training according to the feature set of a sample image and an evaluation result of the sample image. The accuracy of the image evaluation is improved to allow an evaluation result to better meet users' actual demands, and the technical problem is solved that a hit rate of a recommend image generated according to the evaluation result is low.

The invention discloses a network representation learning method and device based on random walk of edges, and the method comprises the steps: calculating the similarity between the edges in a networkaccording to a topic vector of each node of the network and an associated timestamp of the edge; Calculating the edge-to-edge transition probability according to the calculated edge-to-edge similarity; Based on the guidance of the meta-path, carrying out random walk according to the calculated transition probability to generate a node sequence; And performing representation learning of the node according to the obtained node sequence to obtain low-dimensional representation of the node. According to the method, semantic information and time information can be interpreted to obtain richer network content, so that potential information of a real world can be more truly and effectively mined; And the method can be used for carrying out more appropriate and practical representation on the network which changes along with the passage of time.

The invention relates to the technical field of software engineering, in particular relating to a method for searching Web services according to non-functional requirements of a user. The method comprises the following steps: processing a requirement text of the user, and extracting key words from the requirement text; using a noumenon to perform semantic disambiguation on the got key words; identifying the key words representing the non-functional requirements of the user, and mapping the key words to corresponding Web service quality attributes; collecting data of the quantity attributes tobe analyzed in the candidate Web services one by one, and using the cloud transform method to get a corresponding atomic concept set; transforming the got atomic concept set to a corresponding candidate concept set with appropriate grain size one by one; and selecting one concept which is most matched with the key words representing the non-functional requirements of the user from each of the sets respectively, and generating combined constraint conditions for inquiry according to a corresponding cloud model. By utilizing the qualitative and quantitative conversion of the cloud model, the impacts of subjective differences of experts and differences in environmental conditions on the inquiry are reduced, and a result which is closer to expectation of the user is returned.

The embodiment of the invention discloses an interaction control method and device of an intelligent blackboard, the intelligent blackboard and a storage medium, and relates to the field of intelligent blackboards. The intelligent blackboard comprises a touch module, at least one first blackboard area and at least one second blackboard area, wherein a display screen is installed in the first blackboard area, and the touch module is used for detecting touch operation for the first blackboard area and the second blackboard area. The method comprises the steps: receiving the first touch operationfor the second blackboard area; when the first touch operation is a writing operation, displaying a touch track corresponding to the writing operation in the display screen; when the first touch operation is a non-writing operation, responding according to a response strategy of the non-writing operation, and displaying a display picture corresponding to the non-writing operation in the display screen. By the adoption of the method, the technical problem that data interaction cannot be conducted between a traditional blackboard and electronic equipment in an intelligent blackboard in the prior art can be solved.

The invention relates to a mobile network road optimized analysis system. The mobile network road optimized analysis system comprises a digital road management module, a base station data management module, a signaling data collection module, a call record identification module, a road call record screening module, a road signal coverage evaluation module, a module for evaluating service quality according to service types, a module for evaluating service quality according to road directions, a signal-time call record mobile route recurrence module, an abnormal call record query module, an abnormal call area geographical presentation module and a call detailed signaling process query module. The mobile network road optimized analysis system can assist an operator in building special optimization for a certain road, evaluate the service conditions of the network when a user moves on the road at a high speed and find out the problems of the network. Optimization personnel of the operator carry out pointed optimization adjustment according to the evaluation result of the system, and then the perceptibility of the user in travel is improved.

The invention provides a short text recommendation method and device, a medium and electronic equipment. The short text recommendation method comprises the following steps: acquiring a first short text input by a user; obtaining a plurality of second short texts in an ES mode, obtaining a semantic vector of the first short text and a semantic vector of each second short text, calculating the similarity between the semantic vector of each second short text and the semantic vector of the first short text, wherein the semantic vector of the short text is used for representing the feature vector of the short text semantics; and finally sorting the plurality of second short texts according to the similarity between the semantic vector of each second short text and the semantic vector of the first short text, and recommending the sorted second short texts. According to the scheme, the short texts are recalled and sorted from the deep semantic level of the short texts, so that the actual requirements of users can be better met, and the click rate of recommended contents is effectively increased.

The invention provides a message push method, a server and a terminal and relates to the field of the terminal. Relative position information of a user can be determined according to a label of an access network of the terminal, and further personalized push information is provided for the user according to the relative position information of the user. An application server obtains label information of the access network of the terminal, wherein the label information is used for indicating a position attribute of the access network; the application server determines the relative position information of a position at which the terminal is currently located according to the label information of the access network, wherein the relative position information is used for indicating the attribute of the position at which the terminal is currently located; and the application server determines push content according to the relative position information and generates a push request message according to the push content, wherein the push request message carries the push content.

The present invention relates to a subway mobile user perception optimization and analysis method and system. The system includes 27 functional modules; the system performing positioning analysis on subway users inside and outside a tunnel, service cells, and abnormal events via an algorithm such as the speed; a subway coverage quality condition is presented on a geographical map in a rasterized manner with high accuracy, which can help an operator to perform overall situation real-time monitoring on all subway transport lines in each city in each province, can establish a specific optimization aiming at a certain subway transport line, and evaluate a service situation of the network, subway base station service state inside and outside the tunnel and the perception of the user when the user moves at a high speed on the subway, to discover problems existing in the network, and predict a risky section of the subway transport lines so that the operator can perform the optimization work in a more targeted manner, thereby increasing the perceptibility of the user when riding the subway.

The invention discloses a bionic damping surface and a manufacturing method thereof. The bionic damping surface comprises a base plate, a sintering layer and a flexible layer which are sequentially arranged from bottom to top, wherein the sintering layer and the flexible layer forms a convex structure; and a nano particle filling transition layer is arranged between the sintering layer and the flexible layer. A sintering technology is combined with micro-structure transfer printing to realize a surface with a damping / anti-fouling function. The method can precisely manufacture a flexibly-packaged micro bulged double-layer damping surface. A sintering form and filling improvement PDMS make the surface have self-healing and wear resistance. The bionic damping surface has a wide application prospect, has unique advantages of a simple process, low manufacturing cost, high production efficiency and repeatability. The invention provides a brand-new solution for manufacturing an anti-fouling / damping surface.

The invention discloses an evaluation system for transient stability of a large-scale power system based on optimal mutual information redundancy. The system firstly obtains a power system large dataset that can approximately represent all operating characteristics of a current power system based on PMU data or software simulation; on the basis, an optimal characteristic set with maximum correlation and minimum redundancy with transient stability margin of the system is constructed through multi-time utilization of an information redundancy optimization algorithm; a function expression of a relationship between a selected variable and TSM is constructed by utilizing MATLAB; and the TSM can be directly estimated by an expression through real-time variable data obtained by the power system,after appropriate compensation is performed on a result, the result is fed back to on-site scheduling personnel in order to make timely decisions. The system can solve the shortcomings that traditional evaluation methods are poor in precision, are slow in speed, are poor in robustness of data loss, are poor in evaluation analyticity, and the like, and effectively meets real-time evaluation requirements of large-scale power systems.

The invention provides a negative one-screen content pushing and requesting method, a device, a server, a terminal and a computer storage medium. The terminal generates a content pushing update request according to a content object and an operation mode operated by the user and sends the content pushing update request to the server after receiving the operation of the content in the negative one-screen by the user. The server updates the object pushing list of the negative screen display content according to the operation mode of the user and the content of the user operation, and returns theupdated object pushing list, so that the content displayed in the negative screen is more suitable for the user preference. At the same time, it also breaks the existing relatively solidified contentpushing mode, makes the pushing of negative one-screen content more flexible, more close to the actual needs of users, improves the user experience of negative one-screen, and effectively protects theterminal interface value and commercial application value of negative one-screen.

An intelligent certificate storing and picking machine comprises a frame. Three manipulators are arranged on the frame side by side and include a first certificate pushing manipulator capable of pushing certificates, a certificate picking manipulator capable of picking and transmitting the certificates, and a second certificate pushing manipulator identical with the first certificate pushing manipulator in structure, a transmission mechanism driving the manipulators to move in an up-down left-right matching manner, the transmission mechanism and the manipulators are jointly connected with a controller, a first storage rack is arranged between the first certificate pushing manipulator and the second certificate pushing manipulator, and a second storage rack is arranged between the certificate picking manipulator and the second certificate pushing manipulator. The intelligent certificate storing and picking machine can simultaneously realize storing and picking of two certificates; compared with existing certificate picking machines, the intelligent certificate storing and picking machine meets needs of actual life better and brings more convenience to people's outgoing life.

The embodiment of the invention relates to the technical field of automatic vending, and discloses a commodity recommendation method and device for a vending robot. The method comprises the steps of obtaining current user information, wherein the current user information at least comprises a facial image of a current user; identifying one or more user features according to the current user information; inputting the user characteristics into a commodity recommendation model to obtain recommendation indexes of commodities in the vending robot for the current user, and recommending the commodities to the current user at least according to the recommendation indexes; and updating the recommendation index according to the condition that the current user purchases the recommended commodity andthe condition that the recommended commodity information is checked. Through the above mode, the commodity recommendation effect of the embodiment of the invention is good.

The application relates to an image processing method and device, a storage medium and electronic equipment. The method includes the following steps: acquiring an image to be processed; detecting whether the image to be processed is a first image with a user preference mark, wherein the first image with the user preference mark is an image subjected to a first preset operation in a preset application; if yes, identifying the first image with the user preference mark to obtain an image category to which the first image belongs; and dividing the first image with the user preference mark into animage set corresponding to the image category to which the first image belongs. According to the image processing method and device, the storage medium and the electronic equipment, the effectivenessof image classification can be improved.

The invention discloses a method and device for generating a behavior tag, and the method comprises the steps of obtaining the historical behavior data of a user, wherein the historical behavior datarepresents the historical operation behavior of the user; obtaining a preset set of tags, wherein the label included in the label set represents the possible operation behavior of the user, then matching the acquired historical behavior data with the label in the label set, and if the label successfully matched with the historical behavior data exists in the label set, determining the label as thebehavior label of the user, so that the historical operation behavior of the user can reflect the real characteristics of the user, and the behavior tag generated based on the historical behavior data of the user can generally describe the user more accurately, and accordingly the behavior tag generated based on the behavior tag can better meet the actual demand of the user when providing servicefor the user, and a better service effect is obtained.

The invention relates to an image classifying method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining a first-level human face whichsatisfies a preset condition from images according to the size of the area of the human face, and conducting human face identification on the first-level human face to obtain the human face type corresponding to the first-level human face; then obtaining a second-level human face in the images, and then conducting human face identification on the second-level human face to obtain the human face type corresponding to the second-level human face, wherein the second-level human face is the human face except the first-level human face in the images; finally, classifying the images into corresponding human face types according to the human face type corresponding to the first-level human face and the human face type corresponding to the second-level human face. The human face types obtained inthis way can be accurate, a large quantity of unimportant human face types cannot be generated, and the effectiveness of the classification result is improved, which better meets actual requirementsof a user. Finally, the images are classified into the corresponding human face types.

The invention relates to the technical field of financial data analysis, and provides a risk early warning method based on a knowledge graph and a storage medium. The method comprises the steps that financial heterogeneous information is obtained to the maximum extent by using the convenience of big data, and multiple pieces of standardized structured data are obtained through unified information processing; a stock knowledge graph is established to understand relevance of each individual stock in each industry through the stock knowledge graph, so that data analysis is more comprehensive, and the accuracy of risk early warning is improved; then, for real-time changes of stock quotes, dynamic weights are calculated according to a dynamic weight algorithm, and a multi-factor risk control model corresponding to each industry is updated in real time, so that a risk sorting list is in a dynamically corrected state and closely follows change trends of stock transactions, and the accuracy of the risk early warning is further improved; and finally, personalized risk early warning is output for different users, so that the operation difficulty of the users can be reduced, and the actual requirements of the users are met.

The embodiment of the invention provides an in-vehicle environment adjusting method, device and system, computer equipment and a storage medium, and relates to the field of intelligent vehicle-mountedtechnology. The in-vehicle environment adjusting method comprises the following steps that when a user exists in a vehicle, vital sign data of the user is acquired through a detecting device; the vital sign data is matched with pre-configured sign comparison data, and whether the user is in a specified sign state or not is judged; and when the user is in the specified sign state, a correspondingtarget environment mode is determined, and the in-vehicle environment is adjusted according to control parameters corresponding to the target environment mode. According to the technical scheme, the in-vehicle environment can be automatically adjusted according to the vital sign data of the user, so that device control parameter setting of the in-vehicle environment is more accurate, the in-vehicle environment is more in line with the actual demand of the user, and the intelligent degree of the vehicle is improved.

The embodiment of the invention discloses a page display control method and device, equipment and a storage medium. The method comprises the steps that in the process of displaying first content in a current page of a preset application program, a first preset control is displayed in the current page, wherein the first preset control is used for establishing a preset incidence relation between a first user and a second user in the preset application program, the first user comprises the user currently using the preset application program, and the second user comprises a user issuing the first content; and the display mode of the first preset control is changed based on the interaction operation of the first user on the first content. By the adoption of the technical scheme, the display modes of the control can be richer, and therefore page display can be controlled more reasonably.

The embodiment of the invention discloses an information display method and device, equipment and a storage medium. The method comprises the steps that it is detected that a target preset entry in a target page is triggered, a target display mode corresponding to the target preset entry is determined, associated information corresponding to preset content is displayed in a preset information display page according to the target display mode, and the target page is used for displaying the preset content. The target page comprises at least two preset entries used for triggering and displaying the preset information display page, the at least two preset entries comprise a target preset entry, and different preset entries correspond to different display modes of the preset information display page. By adopting the technical scheme, the display modes of the associated information of the content can be enriched, and different display modes of the information display page can be realized by triggering different entrances, so that the information display modes better meet actual requirements, and the information consumption efficiency can be improved.

The invention discloses a recommendation information generation method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining an image of a user in a shop;analyzing the images of the users in the store, and determining companions; matching the face images of the companions with each face image in a face library to obtain historical consumption behaviordata of the companions; and generating corresponding push information according to the historical consumption behavior data of the companions. According to the method, the user group for analyzing thehistorical consumption behavior data of the user is expanded, and the quantity and the value of the user data are improved, so that the obtained push information can better meet the actual requirements of the push main body (the main body for receiving the push information); meanwhile, the user data can be analyzed from multiple dimensions, so that the richness of the obtained analysis result canbe improved, the audience range of the push main body to which the analysis result is applicable is expanded, and the utilization rate of the user data is increased.

The invention provides an optimal operation parameter determination method, an intelligent extension module and an air conditioner, and relates to the technical field of air conditioners. The intelligent extension module obtains indoor environment temperature and pressure information through a communication unit by means of a communication bus, then weather information of the place where the air conditioner is installed is obtained through a weather information obtaining unit, and finally the optimal operation parameter is determined through a processing unit on the basis of the indoor environment temperature, the pressure information and the weather information; because the optimal operation parameter is determined by combining the weather information, the indoor environment temperature and the pressure information, the optimal operation parameter better fits actual demands of users; and meanwhile, the optimal operation parameter does not need to be set by the users themselves but isautomatically obtained on the basis of the weather information, the process is more intelligent, operation of the users can be easier, and user experience is improved.

The invention discloses a method and a device for making a user taste label and recommending a menu. The method comprises the following steps: acquiring the geographic position of a user, acquiring the taste preference of the user on the geographic position, binding the geographic position with the taste preference, and storing as the user taste label. The technical problem that in the prior art,the user experience effect is poor is solved.

The invention provides a mouse control method and application thereof, and the method comprises the steps: building a selection table P of an initial DPI value of a mouse, recognizing the type of a real-time program D0, responding to the mouse in real time, on a host, selecting a DPI value matched with the type of the program from the selection table P, and setting the DPI value as the initial DPI value of the mouse. According to the method, the mouse DPI values can be primarily selected according to the program types, the selection efficiency is high, the calculation amount can be remarkably reduced, and the primarily selected mouse DPI values which are relatively adaptive can be provided for different types of programs. After primary selection, the mouse DPI value is adjusted for the first time and more than one time of subsequent adjustment to complete adjustment of the mouse DPI value, so that the mouse DPI value can be further matched with a corresponding program type, and compared with the method of selecting the DPI value by adopting an optimal iteration algorithm and the like in the prior art, the calculation amount can be remarkably reduced, the workload of a host is reduced, and crash of the host or occupation of a large number of computing resources is avoided, and the adjustment duration is short.

The invention provides a self-service collection mode of map data. The method comprises the following steps: S1) giving navigators to several taxi driver for free; S2) during usage of the navigators,collecting data of the navigators by a server, and timely sorting and analyzing the data; S3) through sorting and analyzing on the data, and by comparing the data and the current data, recording a newaddress and a route by the server; and S4) providing the new route through the server. According to the invention, collection of the map data is more convenient and faster, and the self-service collection mode applies to practical requirement of people. The self-service collection mode takes a brand new business idea, helps a trade company to integrate resources, reduces operation cost, and is liked by people with high-quality service.

The invention relates to a new energy vehicle power battery charging and discharging control system, which comprises a battery performance influence factor calculation module, a power battery use environment influence factor calculation module, a whole vehicle demand performance influence factor calculation module, an in-vehicle electric equipment influence factor calculation module and a power battery charging and discharging current correction module, the influence of the performance of the battery and environmental factors on the battery, the performance requirement of the whole vehicle andthe performance of electric equipment are all considered in charging and discharging control factors, different types of influence factors are subjected to modular development, in the module, the influence of the influence factors on charging and discharging of the power battery is analyzed, and a correction influence factor is given to charging current; and meanwhile, the charging and discharging current of the power battery is corrected according to the control priority, so that more accurate control is achieved.