723 results about "Mobile app" patented technology

Presented herein are systems and methods for the employment of machine learning models for image processing. A mobile application for client-side image processing and validation, which interacts with and leverages native image processing software of the client device, where the image processing software and the mobile application include any number of machine-learning models for identifying a document and attributes of the document for recognition and validation. This mobile application uses the image processing software from a client operating system to control the camera. The image processing software generates various types of information about a video frame and the document, and the mobile application invokes APIs or software libraries of the image processing software to access the information and validate the frame and document.

The invention discloses an intelligent early warning system for safety of buildings around foundation pit construction, and relates to the technical field of construction safety monitoring. The platform adopts a four-layer architecture of a sensing layer, a transmission layer, a platform layer and an application layer. The sensing layer collects data in real time through a multi-class sensor array; the transmission layer wirelessly transmits data by using the Internet of Things technology; the platform layer serves as a core, comprises a data management module, a digital twin modeling module and an intelligent analysis early warning engine, and is responsible for data preprocessing, three-dimensional model driving and intelligent risk study and judgment based on machine learning and a dynamic threshold value; and the application layer provides visual display and early warning push service through a Web terminal and a mobile APP. All-weather automatic monitoring, intelligent advanced early warning and accurate risk prevention and control of the surrounding environment of the foundation pit are achieved, a complete intelligent management closed loop is formed, and the construction safety level is effectively improved.

The invention relates to the technical field of data security detection, in particular to a data security-oriented mobile application dynamic and static dual-combination detection method and system. The method comprises the following steps: collecting basic information of a target mobile application from a plurality of heterogeneous data sources, and constructing a basic data set of the mobile application information; performing decompilation and static analysis based on the installation file in the resource library, and outputting a static risk feature vector in combination with the sensitive data operation rule set; dynamically running a target application in the controlled sandbox environment, monitoring network traffic, system calling and file operation behavior sequences, and outputting a dynamic behavior risk feature vector; and fusing the two types of feature vectors, and inputting the fused feature vectors into a risk assessment model to generate a comprehensive data security risk assessment report. According to the method, a comprehensive evaluation system is constructed by fusing static and dynamic risk features, and full-dimension coverage of the security risk of the mobile application is realized.

The invention relates to the field of mobile applications, and particularly provides a cross-platform mobile application system and a task processing method thereof, a terminal and a medium, and the system comprises a cross-platform application framework layer which is used for constructing an interface and processing an interaction event; the core intelligent layer is constructed based on an AI agent development suite and is used for dynamically scheduling an AI agent according to a user intention and an application state; the AI agent pool comprises a plurality of agents with independent functions; the native function interface layer is used for bridging and calling native hardware functions of the equipment; and the large language model service interface is used for accessing large language model service. The method comprises the steps of receiving and standardizing a user event, analyzing a user intention, dynamically scheduling an agent to cooperatively execute a task, and finally updating a user interface by calling a native hardware function or accessing a large language model to enhance the capability. The intelligent level, the development efficiency and the user experience of the mobile application are improved.

The invention provides a watershed flood early warning system and method based on hydrological model and mobile application coupling, and belongs to the field of watershed flood early warning. In the system, a communication and data transmission module collects data for hydrological model simulation in a watershed area; the model simulation module simulates hydrological data of rainfall runoff in a watershed area in real time by using a hydrological model based on the collected data, and transmits a simulation result to the flood risk forecasting module through the communication and data transmission module; the flood risk forecasting module generates a flood risk map based on the received simulation result and transmits the flood risk map to the communication and data transmission module; and the mobile application display module receives real-time early warning information generated by the communication and data transmission module based on the flood risk map, and displays the real-time early warning information to a user. The watershed flood is simulated in real time through the hydrological model, the flood forecasting and early warning information is sent to people in a watershed flood submerging range through the mobile application, and the accuracy and timeliness of watershed flood early warning can be improved.

The invention relates to the technical field of mobile application continuous integration automation, and discloses a multi-channel APP automatic packaging system which comprises the steps that byte code files in a released mobile terminal APP installation package are acquired, and an occupied symbol space set is generated; generating an available confusion namespace by using set complementary operation; extracting method-level code change by using an abstract syntax tree difference algorithm, and generating a change method set; generating a patch special confusion rule for the change method set by using a namespace allocation algorithm; compiling and obfuscating the change method set by applying a patch special obfuscating rule to generate a safe obfuscating patch byte code; performing packaging and signature operation on the safe obfuscation patch byte code, and outputting a minimized obfuscation safe hot repair patch pack; according to the method, the technical problems that class definition conflicts or method calling errors occur after the hot repair patch is loaded, and the downloading success rate of a user is affected due to the overlarge size of the hot repair patch are solved.

The invention provides a product advertisement putting method and system. Relates to the technical field of advertisement putting, and comprises the following steps: obtaining product advertisement putting data with a timestamp from an e-commerce platform, a mobile application and an advertisement media, and carrying out cross-terminal association on the product advertisement putting data and a user identifier to form a multi-source data set so as to optimize product promotion, advertisement putting and marketing strategies and improve commercial benefits. According to the product advertisement putting method and system, the interest, the purchase intention and the cross-channel activeness of the user can be reflected more accurately through cross-terminal association of the multi-source data and construction of the multi-dimensional audience portrait, so that the target audience can be matched more accurately during advertisement putting, the advertisement effect is improved, and meanwhile, the user experience is improved. The combination of the incremental transformation prediction model and the multi-target reinforcement learning decision engine enables the advertisement putting strategy to be adjusted in real time, and improves the putting real-time performance and the rate of return on investment.

An anti-snoring system comprising an adjustable bed having a sleeping surface that may be mechanically raised or lowered, and a control module adapted to receive commands from a source external to the adjustable bed; a mobile device in direct or indirect communication with the control module in the adjustable bed, and wherein the mobile device has sound recording capabilities; a mobile application resident on the mobile device, wherein the mobile application includes a sound classification machine learning model that includes an artificial intelligence or neural network operative to determine whether or not a person on the sleep surface is snoring, and wherein upon a determination that the person is snoring and has been snoring for a predetermined period of time, the mobile application instructs the control module to raise or adjust the sleeping surface to a height or position that will discourage the person from snoring.

The invention discloses an intelligent parking management method and system based on digital twinning. And full-life-cycle management is realized by constructing a five-dimensional digital twinborn model. The method comprises the following steps: firstly, extracting information from historical data to generate a knowledge template library, intelligently matching a successful case to generate a project proposal, carrying out space, performance and fault simulation, and synchronously changing information through a mobile application. And closed-loop management from project planning to operation maintenance is realized. A hybrid decision engine combining PPO reinforcement learning and a heuristic algorithm is adopted, the parking space detection accuracy rate reaches 99.7%, the parking space searching time is shortened to 2.7 minutes, and the system response delay is reduced to 200 ms or below.

The invention discloses a mobile application interface interaction method and device, equipment and a storage medium, and relates to the technical field of interface interaction. The method comprises the following steps: acquiring touch data of a user, and determining a predicted touch position according to the touch data; based on the predicted touch position, generating a corresponding animation request and a rendering task, and loading required resources; acquiring the real-time frame rate of the equipment and the priority of the animation request, sequentially processing the animation request according to the priority, and determining the animation parameter of the interactive animation of the animation request according to the real-time frame rate of the equipment to obtain the interactive animation; rendering the rendering tasks of different classifications to obtain rendering data of the interface; and obtaining screen parameters of the equipment, determining layout information of the mobile application interface according to the screen parameters, the interactive animation and the rendering data, and updating the mobile application interface according to the layout information of the mobile application interface. According to the embodiment of the invention, the user experience of mobile application interface interaction is improved.

An example operation includes one or more of establishing a secure channel between a host platform and a vehicle based on a transport layer security (TLS) handshake between the host platform and the vehicle, downloading an authorization code to the vehicle through the secure channel between the host platform and the vehicle, receiving the authorization code from a mobile application installed on a mobile device, generating a mobile application certificate for the mobile device and transmitting the mobile application certificate to the mobile application on the mobile device, and establishing a secure connection between the host platform and the mobile application on the mobile device based on the mobile application certificate.

Systems and methods of monitoring location labels on product storage structures of a product storage facility include an image capture device that captures images of the product storage structures and a computing device programmed to analyze the images of the product storage structures captured by the image capture device to detect location labels located on the product storage structures. Based on detection that one or more location labels located on the product storage structures are associated with an error condition, the computing device generates a location label alert indicating at least one location label that requires a location label check by a worker at the product storage facility. A mobile application executable on a device of the worker at the product storage facility displays a user interface that lists location labels alerts and permits the worker to print replacement labels for product structures associated with the alerts.

The invention relates to an APP personal information data circulation compliance and data risk detection method. The method comprises the steps that a first-party privacy policy is acquired and analyzed to generate a third-party sharing list; extracting an entity relationship sequence by using the trained NLP model after crawling a third-party policy full text; constructing a personal information circulation knowledge graph according to the third-party shared list, comparing the entity relationship sequence with a compliance rule base through a graph matching algorithm to generate a compliance result, and labeling the compliance result to the graph; finally, a privacy threat report is generated based on graph reverse derivation analysis, and the risk of an operator is comprehensively evaluated. According to the method, automatic compliance and risk detection of mobile application data circulation full links can be realized, and the limitation that only a single application policy can be analyzed in the prior art is effectively overcome.

The invention relates to the technical field of industrial control and management systems, in particular to a multi-chemical product full-process integrated intelligent operation management and control system, which comprises a basic data acquisition layer, an industrial operation system platform, a scene industrial APP layer and a mobile application layer, and is characterized in that the basic data acquisition layer comprises WebService, IEC104, OPC, Modbus and RTSP protocols; the basic data acquisition layer accesses production, equipment, security, environment, operation and energy system data through WebService, IEC104, OPC, Modbus and RTSP protocols, and the industrial operating system platform is constructed based on a supOS industrial operating system and comprises an industrial data lake module and a core capability module. Total element data such as production, equipment and energy are accessed through multiple protocols, the traditional MES range is expanded, and complete original data are provided for an upper layer; industrial data lake cleaning modeling is carried out to form standardized assets and unified format semantics for calling; and the scenarized APP layer realizes hierarchical data display, customization and multi-dimensional analysis through APPs such as a billboard and a report.

A system for aiding in a medical clinical trial involving one or more pediatric patients includes a patient passport, individual achievement stickers that are awarded to pediatric patients and that are placed within the patient passport, and an interactive companion toy having distinctive patterns thereon. A camera of a mobile device scans the individual achievement stickers in the patient passport and / or the distinctive patterns on the interactive companion toy, and an interactive incentivization application logic section of the mobile device unlocks and display reward content to the pediatric patient. The interactive companion toy, the mobile application, and the physical passport can be customized to match particular protocols of the clinical trial. The pediatric patient is thus incentivized to participate and continue the clinical trial. Virtual medical play associated with the clinical trial can be practiced on the interactive companion toy in an augmented reality environment. Parents are assisted through automatic text message reminders, and electronic patient-reported outcomes are collected, transmitted, processed, and summarized for visualization and insights via a cloud-based clinical trial portal.

A system for interfacing with a server over a network to improve efficiency of image processing using multiple machine learning models. The system receives a captured image that is captured via a mobile application and interfaces with the server, over the network, and via an application program interface (API) to determine that a reference image, required for use of the first machine learning model, has not been provided for the captured image. The system further reserves an execution of the second machine learning model for the captured image until the first machine learning model is insufficient for the captured image and performs the execution of the second machine learning model for the captured image based on reserving the execution of the second machine learning model until the first machine learning model is insufficient for the captured image and based on determining that the reference image is not provided for the captured image.

The invention provides a mobile application program data encryption transmission method and system. The method comprises the steps of obtaining original application layer data of service interaction; generating a symmetric session key, and performing authentication encryption through the symmetric session key to obtain initial ciphertext data in a service interaction process; performing ciphertext segmentation on the initial ciphertext data to obtain a plurality of independent ciphertext fragments, and deriving a transient rotation key of each independent ciphertext fragment; independently encrypting each independent ciphertext fragment to obtain parallel encrypted data packets of different independent ciphertext fragments, and distributing all the parallel encrypted data packets to a plurality of secure network interfaces of the mobile terminal for parallel transmission; and decrypting and reconstructing each parallel encrypted data packet through a corresponding transient rotation key, and further realizing multi-path encrypted transmission of the original application layer data according to a reconstruction result. By adopting the scheme of the invention, the risk of overall leakage of the single-path ciphertext can be avoided in a complex transmission environment of the mobile terminal.

Disclosed are systems, methods, and computer program products for improving establishment and broadcasting of communication among mobile computing devices. An exemplary method includes: determining a first user accesses a mobile application on a first mobile device of the first user; determining a second user accesses the mobile application on a second mobile device of the second user; transmitting first content from the first user to the second user; receiving, from the second user, a first action associated with the first user; transmitting second content from the second user to the first user; receiving, from the first user, a second action associated with the second user; generating a communication channel for interaction between the first user and the second user; determining a third user accesses the mobile application on a third mobile device of the third user; and transmitting third content from the third user to the second user.

The invention relates to the technical field of digital geological project management, in particular to a geological project management field work flow digital construction method, which comprises the following steps of based on mobile application data acquisition, analyzing field work task progress, environment information and operation normalization, identifying abnormal nodes, and adjusting task priority and resource configuration. According to the geological field operation risk safety level judgment method and system, the task states are analyzed in combination with the environment elements and the execution conditions during collection, the information comprehensiveness and transparency are improved, and the geological field operation risk safety level judgment information table is obtained. During execution, priority and resource configuration are dynamically adjusted, resource utilization efficiency is enhanced, resource input and output results are recorded, operation efficiency and matching degree are quantified, task positions and environment factor weights are fused, risk influences are normalized and analyzed, and project continuity and safety are guaranteed.

The invention provides a mobile application security detection method and system based on multi-dimensional features and network behavior fingerprints, and relates to the technical field of network security, the method comprises the following steps: running a mobile application in a controlled environment, capturing network traffic data generated in the running process of the mobile application, extracting dynamic behavior characteristics including communication frequency, communication type and communication content from the network flow data, constructing a network behavior fingerprint based on the dynamic behavior characteristics, and performing normalization processing on the dynamic behavior characteristics to obtain normalized dynamic behavior characteristics; and in combination with a risk classification threshold and the normalized dynamic behavior characteristics, correcting a scoring result to obtain a final security score. According to the method, the static code layer features and the dynamic flow layer features are comprehensively analyzed, the mobile application type is judged, and efficient traceability is achieved.

A system and method for guiding an AI engine to generate a response by an AI avatar for a user. The response generation process includes an AI guidance and control system configured to facilitate the communication of the user to the AI avatar. The response generation process receives real-time inputs from a human representative via a mobile application which helps the AI engine to provide the response to the user when the query of the user is new to the AI avatar. A specially generated, technical prompt guides the AI engine to enable dynamic and continuous interaction. The AI engine ingests both user and real-time inputs, using a natural language processing algorithm to analyze and update a knowledge base of the AI avatar. A multimodal processing engine on a cloud-based server utilized by AI engine further enhances by handling diverse input types to provide personalized responses to the user.

An inventory management system for a fulfillment center that supports rapid scanning of inventory items using a handheld electronic device. The system comprises a processor, a non-transitory memory storing a plurality of inventory transaction tables, a data verification table, and a committed transaction table, an inventory application stored in the non-transitory memory that, when executed by the processor receives a plurality of scanned code inputs from a mobile application executing on a handheld scanner, writes each received scanned code input into an inventory transaction table, processes each received inventory transaction table, writes processed asset transactions to the data verification table, and in response to receiving a command to commit processed asset transactions, committing processed asset transactions to the committed transaction table.

The invention provides an applet on-demand dynamic loading and subpackaging method based on a unified subpackaging mode, relates to the technical field of mobile application development, and comprises the step of realizing on-demand loading and page rendering by establishing standardized configuration information, a subpackaging resource list, a subpackaging life cycle state machine and a subpackaging dependency graph and combining a subpackaging runtime manager. According to the method, the initialization loading time can be shortened, the memory occupation can be optimized, the small program starting performance can be improved, and meanwhile, the development complexity can be reduced and the cross-platform compatibility can be improved through a standardized subpackage mechanism.

Presented herein are systems and methods relating to artificial intelligence-drive intraoperative diagnosis. For example, a method can include capturing, by an optical reader device of a mobile device, an image of a tissue. A method can further include providing, by a mobile application of the mobile device, the image of the tissue to a tissue analysis circuit. A method can include receiving, from the tissue analysis circuit via the mobile device, a tissue classification. A method can include presenting, via a graphical user interface of the mobile device, a display screen comprising the tissue classification.

Methods and systems for secure media processing may be used to execute and certify a digital media asset by verifying that the digital media asset is authentic and has not been altered since capture. In some cases, these secure media processing techniques may be used in the mobile certification and execution application and a corresponding server system. The mobile application and the corresponding server system may automatically generate finalized documents upon receiving certified digital media and the corresponding metadata from the users. The digital media and other information from the users may be received while the user is in communication with other users. A biometric and artificial intelligent feature recognition system may be utilized to receive biometric data and verify identity. Data transferred to a secure server are accessible by various parties involved in the certification and execution process to provide transparency.

The invention discloses a TBR implementation method of a desktop GPU for mobile 3D application optimization, which comprises the following steps: defining block metadata of screen blocks in a Mesa driver, establishing a block manager, when a mobile application context is detected, acquiring GPU core parameters by the block manager, calculating the size of a basic block, dividing a screen into areas corresponding to shader arrays in number, and storing the areas in a memory; establishing a mapping table of a basic block, a computing unit and an L2 cache slice, generating a resource hash table, analyzing block metadata and the mapping table after whole frame rendering is started, determining a hardware channel according to the mapping table, scheduling rendering tasks according to priorities, and configuring a GPU rendering state. Then executing a vertex shader, rasterization, a fragment shader, depth testing and color mixing to complete block rendering, updating block metadata, merging intermediate data into a final frame buffer according to geometric information after rendering of all basic blocks is completed, and submitting the final frame buffer to a window system to complete single-frame display. And the operation efficiency of the mobile operation system and the mobile terminal 3D application on the desktop platform is optimized.

The advertising payment system and method includes an interactive website or mobile application having an interface allowing for sellers to create advertising images overlaid with visual codes and a blockchain protocol associated with the interactive webpage or mobile application. The blockchain protocol creates advertising tokens to represent the value that the seller assigns to the sharing of the advertising image. Once a client advertiser scans the visual code and chooses to further share the advertising image, the client advertiser receives the advertising tokens in a virtual wallet. The advertising payment system and method utilizes blockchain technology to incentivize and pay client advertisers, thereby allowing sellers to avoid engaging in the traditional bidding process by facilitating direct communication between sellers and client advertisers.

This invention provides a LOHC-SOFC-GT system for mobile applications and its decision variable control method. It constructs a deep thermal-mass coupling system between the LOHC dehydrogenation unit and the SOFC-GT power generation unit. Hydrogen produced by the LOHC dehydrogenation unit is directly supplied to the SOFC-GT unit as fuel, while the high-temperature exhaust gas from the SOFC-GT unit provides heat for the dehydrogenation reaction, achieving global coordination and cascaded utilization of multiple energy flows (thermal, electrical, and chemical energy). Based on the influence of system decision variables on different objective functions, this invention proposes a control strategy of "first determining cooperative variables, then adjusting competing variables." This strategy prioritizes setting cooperative variables with consistent directions within a clear and narrow optimal range. Based on this, competing variables are adjusted in a targeted and precise manner according to the specific application scenario's objective emphasis, achieving a precise match between system performance and scenario requirements.

An anti-snoring system comprising an adjustable bed having a sleeping surface that may be mechanically raised or lowered, and a control module adapted to receive commands from a source external to the adjustable bed; a mobile device in direct or indirect communication with the control module in the adjustable bed, and wherein the mobile device has sound recording capabilities; a mobile application resident on the mobile device, wherein the mobile application includes a sound classification machine learning model that includes an artificial intelligence or neural network operative to determine whether or not a person on the sleep surface is snoring, and wherein upon a determination that the person is snoring and has been snoring for a predetermined period of time, the mobile application instructs the control module to raise or adjust the sleeping surface to a height or position that will discourage the person from snoring.