53results about How to "Improve determination speed" patented technology

The invention provides a resource scheduling method and device, computer equipment and the like. According to the method, a resource management and control strategy is determined and executed with theaim of improving the overall experience of a user, and the overall experience of the user is determined by the weights of the performance, the temperature and the power consumption of equipment in the current use scene and the respective user experience of the performance, the temperature and the power consumption. By adopting the scheduling method integrating the three factors of performance, temperature and power consumption, the seesaw effect possibly caused by single factor scheduling can be avoided, and the comprehensive experience of a user on equipment is improved.

The invention discloses a comprehensive energy market competition strategy determination method, device and equipment and a storage medium. The method comprises the steps that a double-layer optimization model of a comprehensive energy market competition strategy is constructed; wherein the upper-layer model of the double-layer optimization model is a competition strategy optimization model whichtakes energy selling price data, energy quotation data and energy demand quantity data as decision variables for a comprehensive energy service provider, and the lower-layer model of the double-layeroptimization model comprises an energy market clearing model and a user response model based on price demand elasticity; performing structure conversion on the double-layer optimization model to obtain a single-layer linear constraint quadratic programming problem; and determining an optimal competition strategy of the comprehensive energy market based on the quadratic programming problem. By means of the technical scheme, the purpose of determining the optimal competition strategy of the comprehensive energy market is achieved, and the method has the advantages of being high in processing speed and high in precision.

The invention discloses a target location determination method and device, and relates to the technical field of information. According to the method and the device, target locations are automatically determined; the labor cost and time consumption are reduced; the target location determination speed is increased; and the target location determination efficiency is improved. The method comprises the steps of obtaining identification information of mobile terminals in a preset area, wherein the preset network connection modes of the mobile terminals are started; obtaining each piece of user track information corresponding to the identification information according to the identification information; and determining the locations of which overlap ratios are greater than or equal to a preset threshold value in the user track information as the target locations. The method and the device are applicable to target location determination.

The present invention discloses an intelligent advertisement system. The system comprises: a camera configured to shoot images of a monitoring area; a denoising module configured to perform denoising processing of the images shot by the camera; a face identification module configured to perform identification location of face areas in the images; a control module configured to perform play of advertisement images according to the identification result of the face identification module; and a display module configured to play the advertisement images under the control of the control module. The intelligent advertisement system and the interaction method thereof can improve the deficiencies in the prior art with no need for user operation so as to realize intelligent interaction between advertisement play and users.

The invention discloses a processing method and device of unusual telephone charge. The method comprises the following steps of: collecting a fee deduction list of a user who complains for unusual telephone charge, wherein the fee deduction list comprises a plurality of fee deduction records; importing the plurality of fee deduction records into a database according to a preset rule; and determining the fee deduction records of the unusual telephone charge in the plurality of fee deduction records in the database. By use of the invention, the speed of determining the fee deduction records can be increased so as to timely determine the reason causing the unusual telephone charge of the user and enhance the user experience.

An exact synchronization method for determining an angular position of an engine, modulo one engine cycle, by a crankshaft sensor and of at least one camshaft sensor. The method includes: estimating a continuous estimated interval assumed to contain the angular position, on receipt of a “marker” event, determining an angular position corresponding to each one of the possible occurrences of this “marker”, comparing the determined angular position with the estimated interval. If exactly one of the determined angular positions belongs to the estimated interval, then this angular position is the angular position of the engine. And an engine control method using such a method.

The embodiment of the invention discloses an identity identification method and device, equipment and a storage medium. The method comprises the following steps that: obtaining a grey level histogramcorresponding to the grey level image of an eye image; according to the wave crest positions of a pupil and an iris in the grey level histogram, determining a first grey level threshold value, and according to the first grey level threshold value, determining an iris mask image; according to the projection of the iris mask image on a two-dimensional coordinate axis, determining pupil parameters; if an internal and external eccentricity determined on the basis of the pupil parameters is not greater than a preset eccentricity threshold value, according to the projection of the grey level image on the two-dimensional coordinate axis, and the first grey level threshold value, determining the internal boundary parameter of the iris; according to the internal boundary parameter, determining theiris external boundary parameter in the grey level image; and according to the internal boundary parameter and the external boundary parameter, determining an iris area in the grey level image, and carrying out identity identification on the basis of the iris area. By use of the method, the technical problem of poor identity identification means instantaneity on the basis of the iris in the priorart is solved, and the speed of identity identification based on the iris is improved.

The present invention discloses a position determination method and apparatus. The method includes the following steps that: a first time and a second time are acquired, wherein the first time is a time when a light receiving unit receives polarized light in a first scanning direction which is emitted by a light emitting unit, and the second time is a time when the light receiving unit receives polarized light in a second scanning direction which is emitted by the light emitting unit; the deviation angle of the light receiving unit relative to the light emitting unit is determined according to the first time, the second time and a synchronization signal time; and the position of the light receiving unit is determined based on the deviation angle of the light receiving unit relative to the light emitting unit. Since the light emitting unit can emit the polarized light in different scanning directions, the polarized light in the first scanning direction and the polarized light in the second scanning direction which are received by the light receiving unit in the same time period will not be mixed, and therefore, the speed of the determination of the position of a target object can be effectively improved, and system delay is reduced.

The invention relates to a data processing method and system. The processing method comprises the steps of configuring a to-be-configured model structure through multiple groups of preset hyper-parameters to obtain multiple to-be-tested models; sending the plurality of to-be-tested models, the training data and the verification data to a cloud computing platform, so as to enable the cloud computing platform to train each to-be-tested model through the training data, and obtaining convergence information obtained by verifying each trained to-be-tested model through the verification data by thecloud computing platform; and according to all the received convergence information, determining a target hyper-parameter corresponding to the to-be-tested model with the highest convergence speed, and taking the to-be-tested model with the highest convergence speed as a final model. By adopting the method in the embodiment, the obtained to-be-tested model can be trained through the cloud computing platform, the final model with the highest convergence rate and the target hyper-parameter are selected from the to-be-tested model, and the hardware building cost of a local end can be reduced.

The embodiment of the invention discloses a lens distortion compensation method and device, equipment and a storage medium. The lens distortion compensation method comprises the following steps: acquiring current acquisition parameters of image acquisition equipment, wherein the current acquisition parameters comprise a lens parameter, an aperture parameter and a distance parameter; determining atarget correction coefficient curved surface of the image acquisition equipment according to the current acquisition parameters; and performing brightness compensation on a to-be-compensated image acquired by the image acquisition equipment according to the target correction coefficient curved surface. According to the embodiment of the invention, when the acquisition parameters of the image acquisition equipment are changed; the correction coefficient of the image acquisition equipment under the current acquisition parameter can be obtained without carrying out flat field correction on the image acquisition equipment; the determination speed of the correction coefficient of the image acquisition equipment can be improved, the lens distortion compensation speed of the image acquisition equipment is further improved, and manpower and material resources consumed by lens distortion compensation of image acquisition parameters are reduced.

The embodiment of the invention discloses a pollution source determination method, apparatus and device, and a storage medium. The method comprises the steps that target pollution data of a target pollution enterprise in a pollution area are acquired, the target pollution data comprise pollution discharge information and first personnel activity information, and the target pollution enterprise isa pollution enterprise located in a key prevention and control grid of the pollution area; determining a pollution weight of the target pollution enterprise according to the target pollution data; andbased on the pollution weight, a heavy pollution enterprise is determined in the key prevention and control grid as a pollution source of the pollution area. The determination speed of the pollutionsource can be increased, the time consumed for determining the pollution source is shortened, and manpower, material resources and financial resources consumed in the pollution source determination process are reduced; and the accuracy of a pollution source determination result can be improved, so that accurate control of the pollution source is realized.

The invention relates to the field of cloud storage, and discloses a database field dynamic extension method and device, equipment and a storage medium. The method comprises the following steps: analyzing a data table of a relational database associated with a target system by utilizing a machine learning model so as to determine a to-be-expanded data table in the data table of the relational database; obtaining a primary key of the to-be-expanded data table; obtaining a demand document of the extension component; determining a field name of a target field to be expanded according to the content of the demand document; and by taking the primary key as a unique field, creating an extended data table corresponding to the target field in the relational database based on the field name of thetarget field so as to store data corresponding to the target field. The invention also relates to the field of blockchains, and the demand document can be stored in the blockchain. According to the method, efficient extension of the fields of the relational database is achieved, so the efficient dynamic field extension capacity required by large projects is provided.

The invention discloses a network model training method and device, a focus positioning method and device, a computer readable storage medium and electronic equipment. The network model training method comprises the steps of determining a medical image including a focus, wherein the medical image is a chest orthographic image; determining focus positioning information and tissue positioning information corresponding to the medical image based on the medical image; generating training data based on the focus positioning information, the tissue positioning information and the medical image; anddetermining an initial network model, and training the initial network model based on the training data to generate a positioning model, the positioning model being used for determining positioning information corresponding to the chest orthographic image including the lesion. According to the embodiment of the invention, the method can improve the precision and robustness of the generated positioning model, and improves the positioning precision and robustness of subsequent focus positioning. In addition, the training speed can be greatly improved.

The embodiment of the invention discloses an automobile test result determination method and device, a server and a storage medium. The method comprises the following steps: receiving measurement datatransmitted by each data channel; according to the corresponding relationship between each data channel and each data variable, replacing the corresponding data variable in the arithmetic expressionof the evaluation parameter with the measurement data; and calculating the evaluation parameters according to the replaced arithmetic expression, and generating a test result based on the evaluation parameters. By the adoption of the technical scheme, the test data measured in the automobile test process are automatically processed, the test result is generated, the test data do not need to be processed manually any more, the determination speed of the automobile test result can be increased, and the waiting time of test personnel is shortened; moreover, the automobile test data is automatically processed, so that operational errors possibly caused by manual processing of the test data can be avoided, and the accuracy of an automobile test result is improved.

The embodiment of the invention relates to the field of transmission of digital information, and discloses a connection method of a virtual private network, a server, a client and a storage medium. The connection method of the virtual private network is applied to a registration server. A connection request sent by a virtual private network to a VPN client is received, and the connection request is used for requesting connection with a VPN server. The connection information of the available VPN server and a network quality detection strategy returns to the VPN client, wherein the network quality detection strategy is a strategy for detecting the network quality of the available VPN server; wherein the VPN client selects the VPN server to be connected for connection according to the networkquality detection strategy. According to the embodiment, the number of VPN servers can be increased conveniently, the success rate of accessing the VPN servers is increased, and the network quality of connecting the VPN servers is improved.

The invention discloses a business object searching system, method and device and related methods, devices, systems and equipment. The business object search method comprises the steps of receiving a similar business object search request for a target business object; obtaining first attribute decoupling representation vectors of the target business object and the candidate business object; according to the first attribute decoupling representation vector and the attribute value difference information, determining a service object which has the attribute value difference information on the target attribute and is the same as or similar to the target service object on the non-target attribute from the candidate service objects; and returning the similar business object to the requester. By the adoption of the processing mode, on one hand, the search dimension of single-factor control search can be effectively increased, the search effect based on user mind is achieved, and therefore user experience is improved; and on the other hand, the recall rate and accuracy of the search result can be effectively improved.

The invention discloses an inspection method, device, equipment and medium, and relates to the technical fields of downhole safety monitoring and wireless communication. The method comprises the following steps: determining a to-be-detected point by scanning an image code, wherein the image code takes a detecting point as the center and is within the set distance range; and detecting the detectingpoint. Due to the provided inspection method, device, equipment and medium provided by the embodiment of the invention, the selecting speed of the detecting point is increased and the accuracy of thedetecting point is improved.

The embodiment of the invention provides a learning state determination method and a learning state determination device, and relates to the technical field of education. The method comprises the following steps: obtaining a face image; obtaining a face quantization feature corresponding to the face image from the face image; matching facial expressions corresponding to the facial quantitative features in a preset expression database; and determining a learning state corresponding to the facial expression according to the facial expression. By implementing the embodiment, the determination time can be shortened, the determination speed can be increased, the determination cost can be reduced, and the determination objectivity can be enhanced.