122results about How to "Improve running fluency" patented technology

The invention discloses a method and a device for managing an application, and a terminal. The method comprises the following steps of obtaining service data of a first application when the first application runs in the background; obtaining a first probability of switching the first application to the foreground to run within a scheduled time bucket based on the service data, wherein the scheduled time bucket is a time bucket between a current moment and a future scheduled moment; and when the first probability is smaller than a set threshold, cleaning a corresponding process based on the first application. Through application of the embodiments of the invention, a terminal can determine the first probability of switching the application to the foreground to run within the scheduled time bucket based on the service data of the application which runs in the background, if the first probability is smaller than the preset threshold, the probability of switching the application to the foreground to run within the scheduled time bucket is very low, and the terminal can clean the corresponding process, so that the system memory space and the electric quantity are saved, the system running efficiency is improved, the running fluency is improved, and the user experience is optimized.

Embodiments of the invention disclose a background application cleaning method and device, a storage medium and electronic equipment, wherein the background application cleaning method comprises the following steps of collecting multi-dimensional characteristic information of an application as a sample and constructing a sample set of the application; extracting feature information from the sampleset according to a preset rule and constructing a plurality of training sets; training each training set to generate a corresponding decision tree; when the application enters the background, predicting the current feature information of the application by utilizing the generated decision trees, and outputting a plurality of prediction results, wherein the prediction results comprises cleanable and non-cleanable; and determining whether the application can be cleaned or not according to the prediction results. According to the embodiments of the invention, the operation smoothness of the electronic equipment can be improved, and the power consumption can be reduced.

The embodiment of the invention discloses an application cleaning method and device, a storage medium and electronic equipment. The application cleaning method comprises the steps that multi-dimensional features of an application are acquired to serve as training samples, and at least two training sets are constructed, wherein the at least two training sets have different types of multi-dimensional features; corresponding logic regression models in a logic regression model set are trained according to the training sets; the multi-dimensional features of the application are acquired to serve asprediction samples, and at least two prediction sets are obtained, wherein the prediction sets have the same type of multi-dimensional features as the corresponding training sets; the corresponding prediction probabilities are output according to the prediction sets and the trained logic regression models corresponding to the prediction sets, wherein the prediction probabilities comprise the first probability that the application can be cleaned and the second probability that the application cannot be cleaned; and whether or not the application can be cleaned is judged according to the prediction probabilities. Accordingly, the applications capable of being cleaned are cleaned, then automatic cleaning of the applications is achieved, the operation smoothness of the electronic equipment isimproved, and the power consumption is reduced.

The invention discloses a picture display method and apparatus, a storage medium, a processor and a terminal. The method comprises the steps of generating a thumbnail matched with an original picture,wherein the definition of the thumbnail in a full screen display state meets a preset requirement; in response to touch operation received by a screen, determining a display region corresponding to the screen in the thumbnail; obtaining to-be-displayed contents corresponding to the display region from the original picture; and covering the display region by the to-be-displayed contents. The technical problem of difficulty in clearly viewing picture contents in a picture zooming or dragging process during viewing of the picture with relatively large size or relatively high image resolution inrelated technologies is solved.

The embodiment of the application discloses an application cleaning method and device, a storage medium and electronic equipment. According to the embodiment of the application, multidimensional features of applications are collected to be used as samples, and a sample set of the applications is constructed; sample classification is carried out on the sample set according to information gain of the features on sample classification to construct a decision tree model of the applications, and output of the decision tree model includes a cleanable class and a non-cleanable class; multidimensionalfeatures corresponding an application are collected according to prediction time to be used as a prediction sample; and whether the application can be cleaned is predicted according to the predictionsample and the decision tree model. Therefore, cleaning an application which can be cleaned is facilitated, thus automatic cleaning of the application is realized, a running fluency degree of the electronic equipment is increased, and power consumption is reduced.

The embodiment of the application discloses a program optimization method, device and terminal and a storage medium, belonging to the application optimization field. The method comprises the followingsteps that an operating system sends system running information to a target application program through a binder connection between the operating system and the target application program; the systemrunning information is used for characterizing the running state of the system; the target application receives system operation information; the target application program determines the program optimization strategy according to the system running information, and the program optimization strategy is used to adjust the running strategy of the target application program; the target application executes the program optimization strategy. In accordance with an embodiment of that present application, based on the system running information transmitted by the operating system, the target application adjusts its own running strategy, so as to improve the running quality of the target application in the operating system, and avoid the phenomena of catton and frame dropping caused by the insufficient hardware performance, thus achieving the effect of improving the running fluency of the application.

The invention provides a dual system-based memory management method and apparatus. The method comprises the steps of receiving an operation system switching instruction input by a user; according to the operation system switching instruction, determining a first operation system running in a foreground and a second operation system running in a background; and setting a first maximum occupied memory for the first operation system, and setting a second maximum occupied memory for the second operation system, wherein the first maximum occupied memory is greater than the second maximum occupied memory. According to the dual system-based memory management method provided by the invention, the maximum occupied memory for controlling the operation system is changed due to difference of the operation system running in the foreground and background, so that the operation system running in the background is prevented from occupying an excessive memory, the memory utilization rate is increased,the software running fluency of the operation system running in the foreground is improved, and the memory management effect is improved.

Embodiments of the invention disclose a background application closing method and apparatus, a storage medium and an electronic device. The method comprises the steps of collecting feature informationof an application in a preset time period; training the feature information corresponding to the application to generate a corresponding time sequence analysis model; when a background application clearing instruction is received, obtaining a background application list; obtaining the time sequence analysis model and the current feature information corresponding to the application in the application list; and predicting the current feature information by utilizing the time sequence analysis model corresponding to the application to generate a prediction result, and according to the predictionresult, determining whether the application is closed or not. According to the background application closing method and apparatus, the running fluency of the electronic device can be improved and the power consumption can be reduced.

The invention discloses a method and device for realizing screenshot in an application interface of a mobile terminal. The method comprises the following steps: monitoring an operation trigger event of a camera on the mobile terminal in the application interface of the mobile terminal; after capturing the key-pressing event of the camera, detecting the lasting time of the key-pressing event of the camera; and when the lasting time of the key-pressing event of the camera surpasses a preset threshold value, carrying out screenshot operation in the current webpage of the application interface of the mobile terminal. According to the method and device in the invention, the operation trigger event of the camera on the mobile terminal is monitored in the application interface of the mobile terminal; when the key-pressing event of the camera is captured, the screenshot operation is carried out in the current webpage of the application interface of the mobile terminal based on the lasting time of the key-pressing event of the camera; and therefore, frequent operation of a user is simplified to a large extent and operation fluency of the application interface of the mobile terminal is greatly improved.

The invention provides a fuel cell vehicle hydrogenation system, a method and a vehicle. Residual driving range of the vehicle is calculated through the current hydrogen residual amount, an optimal hydrogenation scheme can be analyzed and calculated by utilizing a cloud service platform according to destination information of a driver, vehicle current location, the residual driving range and distribution information of cloud-side hydrogeneration stations by adopting the internet of vehicles technology, and an optional scheme is automatically generated and a route is planned, the hydrogenationreminding and the optimal hydrogenation scheme are presented to the driver through a vehicle-mounted audio-visual system, the problem of contradiction between the destination and the driving range iseffectively solved, and meanwhile, the hydrogenation anxiety of the driver is solved, and the labor intensity of the driver is reduced.

The embodiment of the invention discloses an application clearing method and device, a storage medium and electronic equipment. According to the embodiment, multidimensional features of applications in a to-be-cleared application set are acquired, and the multidimensional features are used as training samples of the applications; a gradient boosting decision tree model is trained according to thetraining samples, and a final estimation model function of a sample category of each application is obtained, wherein the sample category comprises clearable or non-clearable; a prediction sample of each application is acquired, and clearable information gain of each application is acquired according to the prediction sample and the final estimation model function of each application; and according to the clearable information gain of each application, the corresponding applications in the to-be-cleared application set are cleared. Through the scheme, automatic clearing of the applications canbe realized, operating smoothness of the electronic equipment is improved, and power consumption is lowered.

The embodiment of the invention provides an application management method and device, a storage medium and electronic equipment. The method comprises the steps that multiple feature information of theapplication is acquired according to the operation record of the application; multiple feature information is learned through a self-organizing neural network; when the application starts backgroundoperation, the first frequency of starting foreground operation of the application within the preset period of time is acquired; the first frequency is adjusted according to the current geographical location of the electronic equipment; the first feature coefficient of the application is calculated according to the current feature information of the application; the second feature coefficient is determined out of a feature coefficient matrix according to the first feature coefficient; and whether the application can be cleared is judged according to the second feature coefficient. According tothe scheme, whether the application can be cleared is judged according to the second feature coefficient of the application so that the memory occupation of the electronic equipment can be reduced and the operation smoothness of the electronic equipment can be enhanced.

The invention discloses an equipment control method and device, a storage medium and an electronic device. The method is applied to the electronic device and comprises the following steps: acquiring aresidual running memory capacity value of the electronic device; if the remaining running memory capacity value meets a preset first condition, obtaining a memory compression rate and the number of file pages in the memory, and the memory compression rate being the ratio of the compressed data volume to the preset data volume; if the memory compression ratio is smaller than a preset ratio, recovering the memory in a memory compression mode, and/or, if the number of the file pages is larger than a preset numerical value, recovering the memory in a file page recovery mode; creating a memory pool for the UI thread according to the recycled running memory capacity; and when the allocable running memory capacity meets a preset second condition, providing a running memory for the UI thread by utilizing the memory pool. According to the invention, the system fluency can be improved, and jamming is reduced.

The invention discloses a double-motor coupling planetary traction transmission shaft bearing type deceleration electric hub, which comprises a hub, a planetary traction transmission shaft bearing type speed reducer arranged in a hub cavity, a first motor and a second motor. Any sequence combination of a sun gear, a planet carrier and an outer ring in the planetary traction transmission shaft bearing type speed reducer respectively corresponds to a power input end, a power output end and an intermediate transmission part in the planetary traction transmission shaft bearing type speed reducer,the first motor is used for driving the power input end to provide power and driving the hub to rotate through the power output end, and the second motor is used for driving the intermediate transmission part for speed coupling. According to the planetary traction transmission shaft bearing type speed reducer, the cooperation of the two motors is realized through the planetary traction transmission shaft bearing type speed reducer, so that each motor can always work in a high-efficiency working range, the working efficiency of the hub is improved, and the purposes of saving energy and prolonging endurance mileage are achieved.

The invention provides a secure erasure method. The method comprises the steps that: (1) a user sets the splitting granularity; (2) a user space initiates secure erasure, wherein a carried parameter is an address space of the secure erasure; (3) a kernel space splits the address space of the secure erasure according to the splitting granularity preset by the user; (4) a secure erasure mode is changed to a non-secure erasure mode; (5) the split address space is segmentally subjected to non-secure erasure under the condition that an IO load of a system is relatively low; and (6) after all non-secure erasure operations are performed, the system initiates garbage recovery and collection under the condition that the IO load is relatively low. According to the method, the secure erasure is subjected to non-secure splitting, and the non-secure erasure and the garbage recovery and collection are performed under the condition that the IO load of the system is relatively low, so that the blocking and jamming problems of normal disk access of the system are prevented.

The invention discloses a storage cleaning method, a device, an electronic device and a storage medium, belonging to the field of communication technology. The method comprises the following steps of:obtaining the current equipment state of the electronic equipment; Acquiring target cleaning data corresponding to the current equipment state according to the corresponding relationship between thepre-acquired equipment state and cleaning data; A cleaning operation is performed on the storage of the electronic device according to the target cleaning data. The technical proposal provided by theembodiment of the application can automatically complete the storage cleaning operation, and the application can carry out more accurate cleaning on the electronic equipment according to the operationhabits of the electronic equipment of different users in different states, so as to improve the running smoothness of the electronic equipment and reduce the power consumption.

Embodiments of the invention disclose an application closing method and apparatus, a storage medium and an electronic device. The method comprises the steps of receiving an application closing request, and then according to the application closing request, obtaining a current geographic position of the electronic device; according to the current geographic position, selecting corresponding targetfeature information from multiple pieces of feature information of an application; according to the target feature information and a prediction model, predicting whether the application can be closedor not; and if yes, closing the application. According to the scheme, automatic closing of the application is realized; the running fluency of the electronic device is improved; and the power consumption is reduced.

The invention discloses a task execution method and device and a readable storage medium, and the task execution method comprises the steps: obtaining each first to-be-executed task corresponding to afirst tab, generating a first to-be-executed task queue corresponding to each first to-be-executed task, determining a current system load, and according to the current system load, executing each first to-be-executed task according to the queue sequence corresponding to the first to-be-executed task queue. According to the invention, the technical problem of running lag of the stock machine is solved.

The embodiment of the invention discloses an application clearing method and device, a storage medium and electronic equipment. According to the embodiment, multidimensional features of applications are acquired, and a training feature set of the applications is obtained; a ridge regression model is trained according to the training feature set of the applications, and a trained ridge regression model is obtained; the multidimensional features of the applications are acquired, and a prediction feature set of the applications is obtained; according to the prediction feature set and the trainedridge regression model, whether the applications can be cleared is predicted; and the applications capable of being cleared are cleared. Through the scheme, automatic clearing of the applications canbe realized, operation smoothness of the electronic equipment is improved, and power consumption is lowered.

Embodiments of the invention provide an application management method and apparatus, a storage medium and an electronic device. The method comprises the steps of collecting multiple pieces of featureinformation of an application according to a running record of the application; learning the feature information through a self-organizing neural network to obtain a self-organizing neural network model of the application; when the application enters a background to run, obtaining an effective running frequency of running the application in a foreground in a preset time period; according to current feature information of the application, calculating a first feature coefficient of the application; according to the first feature coefficient, determining a second feature coefficient in a featurecoefficient matrix; and according to the second feature coefficient, judging whether the application can be cleaned or not. According to the scheme, whether the application can be cleaned or not is judged according to the second feature coefficient of the application, so that the memory occupation of the electronic device can be reduced and the running fluency of the electronic device is improved.

The embodiment of the invention discloses a memory management method and device, a storage medium and electronic equipment, and the scheme of the embodiment of the invention comprises the steps: determining the idle memory capacity in a memory space when a memory distribution request transmitted by a target thread is received, and judging whether the target thread is a UI thread or not; when the target thread is the UI thread, judging whether the idle memory amount is smaller than a first preset threshold value or not; if yes, determining a first target memory amount, and performing memory recovery based on the first target memory amount; when the target thread is not the UI thread, judging whether the idle memory amount is smaller than a second preset threshold value or not; and if yes, determining a second target memory amount, and performing memory recovery based on the second target memory amount, so that for the UI thread, more sufficient memory is used for allocation, thereby reducing the probability of low memory scenarios of the UI thread, improving the operation fluency of the UI thread, reducing lagging, and improving the system fluency.