30results about How to "Improve decision speed" patented technology

An Internet-based integrated technology platform that simultaneously supports the management of Public Information Sites—Web sites used to both (1) inform the public; and (2) capture and manage public comment (including submission of images)—while at the same time providing support for electronic communication for project teams that manage public involvement projects. The support includes sharing of graphic, text and collaborative tasks. The system and method allow revisions to comments and dynamic feedback in agency decision making based on comments with greater responsiveness. The system is also suited for implementing charettes with a large number of participants.

The invention discloses a task unloading intelligent decision-making method based on an unmanned aerial vehicle group in an edge computing environment. The method comprises the following steps that (1) environment information is acquired; (2) meta-learning is carried out, and if it is found that the environment of an edge server or a cloud center changes, initial parameters of the model are modified; (3) a retrieval mechanism and reinforcement learning are carried out, the retrieval mechanism is responsible for retrieving whether similar tasks exist before or not, and if yes, a decision resultis directly output; and if not, reinforcement learning is carried out, the reinforcement learning is responsible for training and judging the whole reinforcement learning system, two used modules arenetwork freezing and experience playback, and the action with the maximum value function after judgment is taken as a decision result to be output. According to the scheme, the meta-learning model isadopted to quickly adapt to the environment, and when the environment of the decision-making system is changed, the scheme can be quickly adjusted and a reasonable result can be quickly given. For the similar tasks of the unmanned aerial vehicle group, a memory function is introduced in the scheme, and rapid decisions can be made for the similar tasks.

An Internet-based integrated technology platform that simultaneously supports the management of Public Information Sites—Web sites used to both (1) inform the public; and (2) capture and manage public comment (including submission of images—while at the same time providing support for electronic communication for project teams that manage public involvement projects. The support includes sharing of graphic, text and collaborative tasks. The system and method allow revisions to comments and dynamic feedback in agency decision making based on comments with greater responsiveness. The system is also suited for implementing charettes with a large number of participants.

The invention discloses a decision assisting method, device and equipment, a storage medium and a system. The method comprises the following steps: state information of aircrafts is obtained, whereinthe state information comprises environment information, pose information and system information; the state information is input into decision assisting models stored in onboard terminal equipment toobtain target operations needing to be implemented by pilots of the aircrafts in present flight phases, wherein the decision assisting models are obtained by training through ground terminal equipmentand uploaded to the onboard terminal equipment; and the pilots are guided to implement the target operations. Through the technical scheme, the method can assist the pilots to make decisions to reduce the accident rate of the aircrafts.

The invention discloses a parameter adjusting method and device and a storage medium. The method comprises the following steps of: carrying out convolutional neural network model-based iterative training on a value of a hyper parameter; determining a hyper parameter value of the value of the hyper parameter during the iterative training at each time; and taking the value corresponding to the maximum hyper parameter value in the hyper parameter values obtained via n iterative trainings as an optimum value of the hyper parameter. According to the method, the speed of deciding the optimum hyper parameter in the convolutional neural network model is effectively improved.

The invention discloses a few-sample industrial image defect detection model construction method, system and device. The method comprises the following steps: dividing an industrial image data set into a training set and a test set; preprocessing the training set and the test set to enhance the image contrast; performing random vertical overturning and horizontal overturning on the preprocessed training set to obtain training sample data; inputting training sample data into the segmentation network for training, and completing first-step construction of a detection model; correcting the mask image to obtain an industrial image defect area, and completing second-step construction of the detection model; splicing the mask pattern and the industrial image defect area to obtain a dual-channel feature pattern, and inputting the dual-channel feature pattern into a decision network for training to complete third-step construction of a detection model; and evaluating the detection model according to the defect classification result of the industrial images of different defect types in the test set. According to the invention, the detection precision and speed of the defect image can be improved, and the constructed model is evaluated.

The invention discloses an autonomous lane changing method and system fused with deep reinforcement learning. The method comprises the steps: training a deep reinforcement learning model in a training environment, and obtaining and storing training parameters; in the training environment, information of a target vehicle driving according to a rule-based automatic driving strategy is added; formulating an evaluation function according to the training environment and the rule-based automatic driving strategy; judging whether the information of the target vehicle meets an arbitration condition or not according to the evaluation function; if yes, the training parameters are fused into information of the target vehicle, and the target vehicle is controlled to run; and if not, the target vehicle is still controlled to run according to the rule-based automatic driving strategy. According to the method, deep reinforcement learning and a rule-based automatic driving strategy are fused, a large amount of work of traversing a lane changing scene for modeling is omitted in an unmodeled environment, and applicability, decision accuracy, decision efficiency and driving safety are improved.

The invention relates to an intelligent shop order routing decision platform based on LBS height configuration. The decision platform is provided with an online shop module, a decision module and an offline shop module, wherein the decision module is provided with a first storage module and a second storage module, the first storage module is used for storing offline shop data, and the second storage module is used for storing decision condition combinations. The decision platform is advantaged in that the decision platform is suitable for various types of shop platforms, and seamless butt joint is realized; all the decision condition combinations can be acquired through utilizing an enumeration method and are stored, platform computational complexity is reduced, and a decision speed is improved; different decision condition combinations can be configured according to different users, when the combinations are changed, adding and deleting operation can be carried out according to demands, operation is simple and convenient, user operation maintenance cost is low, and user experience is good.

A diagnostic device for ascertaining an effect of an additive addition on a motor vehicle drive train, having a control device to control an internal combustion engine thereof during the additive addition, based on a control unit parameter(s); a detection device to detect at least one process parameter of the additive addition and at least one operating parameter of the drive train during the additive addition; a comparison device coupled to the detection device to compare the at least one detected process parameter and the at least one detected operating parameter to parameter values stored in a memory device and based thereon to ascertain at least one comparison result; and an evaluation device, coupled to the comparison and control devices, to ascertain the effect of the additive addition on the drive train based on the at least one ascertained comparison result and the at least one control unit parameter.

The invention relates to a comment information display method and device, a comment information generation method and device and electronic equipment, and the comment information display method comprises the steps: responding to a live broadcast page display request of a target live broadcast room, and obtaining historical business comment information of a target user account corresponding to the target live broadcast room; the target user account has a service interaction relationship with a historical recommendation object of a target anchor corresponding to the target live broadcast room; the historical business comment information is business comment information of the target user account on the target anchor; and displaying a live broadcast page of the target live broadcast room, and displaying the historical business comment information in a first area of the live broadcast page. According to the embodiment of the invention, other users can be helped to better understand the execution condition of the target anchor service, the service decision-making speed of the users is improved, the object recommendation effect and the processing efficiency of the object recommendation service in the live broadcast process can be improved, and the resource waste of a live broadcast platform system is effectively reduced.

The invention discloses a projection and support vector machine-based multiclass classification method. The method comprises the following steps of: voting to-be-classified samples on the basis of one-to-one support vector machine classifiers, and determining the type of the to-be-classified sample when the highest vote number type is unique; when and only when the highest vote type number is equal to a vote participation type number, calculating projections from vectors between the to-be-classified sample and the center of a support vector machine to vectors between the to-be-classified sample and the center of the type, eliminating a highest vote number type, the projection of which is maximum, and reducing a data recognition area; tracing among the residual highest vote number types by adoption of a one-to-one classifier voting and discriminating mechanism, and recognizing the type of the to-be-classified sample until a decision blind area disappears; and when the highest vote type number is smaller than the vote participation type number, continuing to trace among the residual highest vote number types by adoption of the one-to-one classifier voting and discriminating mechanism. According to the method disclosed by the invention, the sample classification correctness is improved, the decision time of the classifiers is shortened and the decision blind area can be completely eliminated.

The invention discloses a bridge mechanics real-time analysis method based on finite variables. The method is based on the design of a bridge. Variable parameters influencing the stress of the bridgeare variables such as an invariable load, an automobile load, forced displacement, a temperature gradient and the like; characteristics of various variables are studied; data tables are designed for different variables respectively to form a database; under vehicle load variables, an influence surface of a bridge is established, a numerical value of the influence surface is stored in a table, whena vehicle load changes, a bridge effect under the action of a load is analyzed through the influence surface under the action of a unit load, effect values are analyzed under different current loadsone by one, and finally calculating is carried out to obtain a mechanical effect of the bridge through an effect superposition principle. The mechanical effect of the bridge can be analyzed in real time, and the situation that the real-time effect of the bridge cannot be obtained in time in the construction and maintenance stages and the safety of the bridge structure cannot be evaluated is avoided.