237 results about "Smart applications" patented technology

A method and system are provided for downloading software components from a remote source to a software application for providing updates or additions to the application's functionality. All components and files that may be utilized to update or add to functionality available to the application are identified and are assembled on a manifest that may be located on a remote web server accessible by the application. If components of the application should be updated, or corrections or improvements to existing components are available, or new functionality is available that will transform the user's existing application and document into a “smart” application and “smart” document, the application may connect to the web server to download the required components.

A computer system for generating a diagnostic tool by applying artificial intelligence to an instrument for diagnosis of a disorder, such as autism. For autism, the instrument can be a caregiver-directed set of questions designed for an autism classification tool or an observation of the subject in a video, video conference, or in person and associated set of questions about behavior that are designed for use in a separate autism classification tool. The computer system can have one or more processors and memory to store one or more computer programs having instructions for generating a highly statistically accurate set of diagnostic items selected from the instrument, which are tested against a first test using a technique using artificial intelligence and a second test against an independent source. Also, a computer implemented method and a non-transitory computer-readable storage medium are disclosed.

Portable wireless devices are ubiquitous in modern society and many of these have integral sensors such as accelerometers, microphones, and Global Positioning Systems (GPS) that can collect data. This creates potential for intelligent applications to recognize the user, or aspects of the user and take appropriate action. According to embodiments of the invention there are presented techniques for representing such time series data which reduce the memory and computational complexity of performing the analysis and classifying the results. The techniques exploit time-delay embedding is to reconstruct the state and dynamics of an unknown dynamical system, Geometric Template Matching to build nonparametric classifiers, and algorithms to address the problem of selecting segments of data from which to build the time-delay models for classification problems.

The embodiment of the invention discloses an internet application custody system, equipment and method. Through applying the technical scheme provided by the embodiment of the invention, application cluster management equipment can collect resource status information and application deployment information in computer equipments on a real-time basis so as to carry out elastic deployment and scheduling of application and inform intelligent application routing equipment of the current resource status information and the current application deployment information. Accordingly, the intelligent application routing equipment can record the routing and carry out load balance to an application request in each computer equipment according to a load balancing strategy, so that the system realizes the elastic deployment to the application, the maximum utilization of software and hardware resources is realized, and the recourses are saved.

Intelligent HVAC register is an HVAC register outlet which can control the temperature in a space by operating independently. The Intelligent HVAC register works in network with other vents within the system using low power wireless technology and a smart application so that the temperature of multiple individual spaces can be controlled while operating on a single HVAC system. Intelligent HVAC register uses a solar strip to charge the battery which runs each vent's hardware. This enables more efficient use of energy as airflow to unused spaces can be blocked therefore keeping air pressure and efficiency higher in the spaces where temperature adjustments are necessary. Intelligent HVAC register can be controlled using a learning application on a smart device. By setting the time & temperature needed in each space the Intelligent HVAC smart vane will automatically open or close to keep the room at the desired temperature.

Methods and software provided for an AI application system that process user's needs through an intelligent user-system interface process. The user-system interface starts from user initial request, followed by system analysis to process with its algorithm, then question user to further clarify the request and refine it into specific request needs, details and categories, then collect, analyze and judge relative information, proceed to guide user find the most appropriate answer for the needs, together with other latest news and community / other users' feedback on this subject, and have the capabilities of assisting user executing the task needs. Thus greatly enhance the usability and efficiency of the artificial intelligence application to the world in information age.

The invention discloses a deep neural network multi-path reasoning acceleration method for edge intelligent application, comprising the following steps of: firstly analyzing the classification capability and calculation cost of quitting a branch outlet in advance of each layer of a deep neural network, and selecting an outlet combination with the maximum reasoning benefit to be added to an original model; setting a threshold unit between the exit and a trunk layer, training, and judging whether the task can exit from the current exit or not; compressing intermediate feature data for a task which cannot exit in advance at a terminal layer but must be transmitted to an edge layer; and finally, monitoring and analyzing the network load and the computing capabilities of the terminal and the edge equipment on line in an edge computing environment, cutting a multi-path model by taking the minimized reasoning time delay as a target, and respectively deploying model blocks in a terminal layerand an edge layer to finally form a multi-path reasoning acceleration framework. According to the method, the reasoning flexibility can be improved, the accuracy is ensured, the total reasoning time delay is reduced, and the real-time and high-precision requirements of edge intelligent application are met.

The invention relates to a joint downlink and uplink edge computing migration method in an ultra-dense heterogeneous network. For edge servers in different scales in a macro base station and a micro base station, to satisfy computation-intensive and data-intensive delay sensitive requirements of a mobile intelligent application, an effective joint uplink and downlink access and resource allocationmethod needs to be designed, so that intelligent application delay is reduced. Firstly, a joint uplink and downlink computing migration problem is modelled as the minimum system delay optimization model; furthermore, saving of energy consumption of user equipment is considered at the same time; because the joint downlink and uplink computing migration problem is a mixed integer programming problem, the problem is converted into a resource allocation sub-problem and a computing migration sub-problem; and thus, the effective joint downlink and uplink migration and resource allocation method isprovided. An experimental result verifies the effectiveness of the method in the system delay and energy consumption aspects.

The invention relates to a multi-application safety management system based on an intelligent POS (Point of Sale) terminal and a method thereof. The system comprises an intelligent POS application platform (100) which is provided with an application management module (101) and an application signature module (102), and an intelligent POS terminal (200) which is provided with a hardware safety module (201) and a safety authentication module (202), wherein the hardware safety module (201) is used for at least pre-saving a root certificate public key file and an operator certificate public key file; the safety authentication module (202) is used for performing safety authentication on a signed application by using the operator certificate public key file saved in the hardware safety module when the signed application is downloaded into the intelligent POS terminal; and the operator certificate public key file is signed by a root certificate private key file. The multi-application safety management method is safe, reliable and extendible.

The invention provides an interaction system based on an Android and Linux smart television. The interaction system is used for realizing interaction between a mobile phone side and a smart television side. The smart television side comprises an Android side and a Linux side. The mobile phone side comprises a screen shaking module, a virtual remote control module and a retrieval and connection module. The Android side of the smart television comprises an Android UI (User Interface) module, a control service module and a voice service module. The Linux side of the smart television comprises a user service module, a play interface, a virtual key interface and a virtual drive module. The interaction system based on the Android and Linux smart television provided by the invention provides another operation situation and has rich operation functions of strengthening smart application experiences.

The invention discloses an intelligent application management system of an automobile in the internet. The intelligent application management system comprises a consumption point unit, a client software unit and an internet computer management platform. The consumption point unit and the client software unit are respectively connected with the internet computer management platform network. The consumption point unit comprises geographic information, a longitude and latitude coordinate module and a vehicle information acquisition module, a vehicle identification processing module, a vehicle billing processing module and a main control module. The client software unit comprises satellite positioning longitude and latitude coordinate information, registration user information and internet payment information. The internet computer management platform comprises registration user information, registration vehicle information and internet payment information corresponding to the client software unit. According to the invention, rapid and convenient payment can be realized when the vehicle is consumed; the license plate and the fake board in the vehicle safety problem are improved when the vehicle is parked conveniently; theft and effective management can be realized, and the parking space resources can be quickly shared.

The disclosed vehicle-carried intelligent controller for vehicle inside environment comprises: a monitor module, a memory, a communication module, an application module, a control module, and a security module. Besides, the method comprises application register, trigger record change, and trigger applying. This invention can reduce driver manual operation for more comfort.

The invention discloses a method and a device for starting an intelligent television, and the intelligent television. The intelligent television comprises a personal computer (PC) module for processing intelligent application and a television (TV) module for realizing basic functions of a TV. The method comprises the following steps of: reading a stored starting mode; and executing dormancy operation on the PC module according to the starting mode when the TV module is started, or executing standby operation on the PC module when the TV module is started, or starting the PC module on the background when the TV module is started, or executing the dormancy operation on a television signal processing unit of the TV module when the PC module is started. Different starting strategies are adopted for the modules for intelligent application in the intelligent TV according to different starting modes, so that the starting time of the intelligent TV and the booting time of the intelligent TV are shortened; and the energy consumption is reduced, and the user experience is enhanced at the same time.

The invention discloses a smart archives based on big data, and relates to the technical field of archives management applications. By constructing the archives information resource library, and using the data of the archives information resource library as the connection link of each subsystem, each subsystem provides a special scene service for the archives management application, and realizes the intelligent management and control of the archives, the accurate positioning of the archives, and the Enhanced reading experience and intelligent use of archive data, thereby realizing the standardization, refinement, transparency, and intelligence of the archives digitization process, and the rapid, accurate, and diversified archive retrieval. At the same time, it also realizes the centralized archiving of archive data Management, business application topic classification, data clustering management, document content management and application, global control and intelligent application of cross-departmental data collaboration applications.

The invention discloses an intelligent application network, which is of a multi-stage structure. The network comprises at least one application server located at the uppermost stage and at least one intelligent terminal node located at the lowermost stage, and also comprises a plurality of routing nodes located at the intermediate stages, wherein the communication connections are sequentially established between the application server and the routing nodes, between the routing nodes, and between the routing nodes and the intelligent terminal node; the network delivers in the format of frame messages determined through the negotiation between nodes; data items of each frame message comprise a message identifier, an application target identifier and a node address; each intelligent terminal node corresponds to one anode address; and the delivery direction of the frame messages can be judged according to message identifiers in the frame messages. The intelligent application network has the advantages of simple structure, uniform format of communication messages, convenience for system expansion, and convenience for application in a complex large-scale network.

The invention discloses a method and device for achieving the structural description in a video monitoring system. According to the invention, a multilayer data structure is employed, wherein the multilayer data structure consists of an intelligent metadata flow, intelligent metadata, a metadata module, and attribute information, thereby achieving the structural description through the multilayer data structure. Based on the structural description through the multilayer data structure, the method can find a specific target in a large number of video files more easily and quickly, so as to carry out the intelligent applications, such as video search and positioning, and video abstract display. Moreover, the attribute information of each metadata module in the multilayer data structure can comprise one or any combination of time and space attributes, motion type attributes, detection type attributes and semi-structural attributes, thereby enabling the structural description achieved through the method to be more flexible and to be easier to expand.

The invention belongs to the technical field of smart cities and discloses a smart city system based on street lamps. The system comprises an illumination module, an environment monitoring module, a traffic monitoring module, a public security monitoring module, an intelligent alarm module, a wireless signal module, a power supply module, a central control module, a communication module and a smart city monitoring module. According to the invention, existing street lamps are repositioned and transformed; advanced technologies such as an intelligent sensor technology are integrated; a wide coverage range can be conveniently and quickly built and a large number of terminals can be accommodated, the cost is low, the invention discloses an urban Internet of Things basic platform with a high intelligent degree, on the basis of the intelligent street lamp, the space, electric power and point location resources of street lamp pole bodies are fully utilized, multiple intelligent applications such as intelligent lighting, intelligent transportation, environment monitoring, urban safety and wireless cities are achieved on the basis, and great value and significance are achieved for promotingconstruction and development of the smart cities.

A method and an apparatus for organization and detection of homogeneous and heterogeneous swarms of devices and application of swarm intelligence using swarm intelligence framework are provided. The Swarm Intelligence Framework provides a generic platform for realizing solutions involving Swarm Intelligence Technology via flexible container-based Algorithm Plug-in Architecture which is essential to utilize Swarm Intelligence Framework for various scenarios and use cases, including dynamically loading and using the Swarm Detection Algorithm.

The invention discloses a cloud computing smart platform for establishing a smart application system. The platform is characterized in comprising a smart terminal layer (1), a network communication layer (2), a smart service layer (3), a smart perception layer (4), a smart data layer (5) and a data storage layer (6). The smart terminal layer (1), the network communication layer (2), the smart service layer (3), the smart perception layer (4), the smart data layer (5) and the data storage layer (6) are successively connected. According to the platform, all teaching facilities are uniformly managed and scheduled by the platform; moreover, the most advanced and most complete operation standards and subject management are obtained online, thus establishing a more complete teaching resource organizational form; the smart application system is used for serving a modernized schoolyard; and therefore, the school management mode and education and teaching mode are renovated.

The invention discloses a method for deploying a cache-based deep neural network on decentralized edge equipment in a distributed manner. The method comprises the following steps: dividing a neural network; pruning is carried out on the previous layer of neural network at the division position; then, a part of the deep neural network is calculated in the task initiating device; a small number of intermediate results are transmitted to other edge equipment; and calculating the remaining portion, in addition, caching and reusing an intermediate result of the edge device neural network; differentdevices can share cache, so that the delay of an edge intelligent application is reduced, the requirement of a neural network for the performance of the edge device is reduced, and particularly, whenan intelligent task request is initiated to similar data on the edge side, the repeated calculation amount can be reduced, the performance requirement of deep learning for the device is reduced, andthe calculation resources of an edge scene are fully utilized.

A method and a system are provided of testing AI applications / systems on a System for testing one or more artificial intelligence System (STAIS) connectable to under-test AI systems (UTAIS) via the AI test connectors / interfaces through AI test platform. The method includes test modeling, data preparation, testing script generation, testing automation, and quality assurance. The system automatically identifies, analyzes, and displays all quality issues of UTAIS.

The invention discloses a mobile user deep neural network calculation unloading time delay minimization method. A deep neural network-based intelligent application processed by a user in a moving state is analyzed, and a corresponding model is built for minimizing the time delay; and the deep neural network is modeled into a directed acyclic graph, and an optimal unloading decision is made by cutting the graph for multiple times; the cutting process is divided into two stages: in the first stage, only an optimization problem in one time slot is considered, an optimal cutting point is found, anetwork model in the time slot is divided into a front part and a rear part, the first part is subjected to local calculation, and the second part is unloaded to edge cloud calculation; in the secondstage, starting from the global perspective, the whole directed acyclic graph is cut into a plurality of blocks, and the number of time slots required for completing the whole DNN task is minimized. According to the method, the purpose of minimizing the DNN calculation time delay is achieved, cooperative cooperation of the mobile user and the edge cloud server is achieved, and meanwhile the continuity of task processing in the user moving process is guaranteed.

The systems and methods discussed herein provide for intelligent identification of applications or tasks to be utilized or performed by a user based on a variety of variables that provide relevant context. In some implementations, applications may be pre-launched or instantiated prior to a user requesting to execute the application, reducing user experience latency and avoiding incorrect application launch. User behavior patterns, location, time of day, user events, etc. may be utilized to identify and recommend or pre-launch relevant applications that should or can be used at any given instance. In some implementations, deep linking may be used to pre-launch or suggest specific tasks to be performed within an application.

The invention provides an application management method of a smart television and the smart television. The application management method of the smart television comprises the steps of judging whether a television application belongs to traditional television applications when a command of starting any television application is received; applying to a resource management service for processing resources through a traditional application management service when the television application is judged to belong to the traditional television applications so that the television application can be processed, or else, releasing the applied processing resources through the traditional application management service, wherein the traditional application management service is used for applying for or releasing the processing resources used for processing the traditional television applications, and the resource management service is used for managing the processing resources of the smart television. According to the technical scheme, the difficulty for developing the traditional television applications can be reduced, the time for developing the traditional television applications can be shortened, and meanwhile, resource contention caused by unreasonable resource distribution between the traditional television applications and intelligent applications is avoided.

The invention discloses an intelligent application browser. The intelligent application browser is embedded with a program application protocol, and is provided with a voice frequency characteristic analyzing module, an intelligent searching module, a sound acquiring module, a voice frequency index navigating module, a time speed changing module, a security encryption Cookie module and a network service platform interface. The intelligent application browser can operate application programs and a plurality of built-in applications of application stores, credit rating, communication tools, electronic malls, secure emails and the like online, provides the analysis, identification and searching to voice frequency melody characteristics and vocal print characteristics, adopts the multi-kernel integrating and cloud computing model to realize safe cross-terminal and cross-platform single sign on, and provides the subjects, figures and commodity navigations of related webpage and medias and the application programs, payment interfaces, multimedia, network links, evaluations, sponsor indexing and accessing methods associated with the contents. The invention further discloses an intelligent community service application browser, a payment application browser and an intelligent game browser.

The invention is applicable for the field of wireless communication and provides a pairing method of wireless communication. The method comprises the following steps that: A, a transmitter transmits a pairing serial code and a receiver receives the pairing serial code transmitted by the transmitter; B, the pairing serial code is compared with a preset value so as to judge the function of the pairing serial code; C, whether the receiver is restarted according to the preset time is judged; and D, the receiver enters into the pairing state and waits for receiving an unique ID (Identity) of the transmitter. According to the pairing method, by restarting the receiver to enter into the pairing state, the advantages of simple pairing operation, smart application and simple structure in wireless communication are realized; and the application range of the wireless communication is wider.

The invention discloses a method for accelerating multi-exit DNN (Deep Neural Networks) reasoning by a heterogeneous processor under edge computing, which comprises the following steps of: firstly, respectively counting the computing cost of each layer of a deep neural network on a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit) under different loads, the classification capability of each layer exiting a branch exit in advance and the intermediate data volume of each network layer; then analyzing the data to obtain an optimal parallel combination model for distributing each layer of the deep neural network to a CPU (GPU) processor under a specific load condition; and finally, the load conditions of the CPU and the GPU and the current computing power are monitored and analyzed on a terminal device on line, a deep neural network reasoning task is segmented with the purpose of minimizing reasoning time delay, task blocks are distributed to the GPU and the CPU respectively, and finally a reasoning acceleration framework based on a heterogeneous processor is formed. According to the method, the reasoning flexibility can be improved, the accuracy is ensured, the reasoning total time delay is reduced, and the real-time and high-precision requirements of edge intelligent application are met.

A system for intelligently deploying applications to nodes on a distributed ledger technology (DLT) network may receive requests from authorized users to deploy DLT-based applications to one or more nodes in a DLT network. The system may further identify the DLT network for deploying the application by analyzing a set of characteristics associated with the application with a set of characteristics associated with a DLT network. The system may also generate deployment scripts for the applications that include instructions compatible with the identified DLT network and to be performed by the one or more nodes to implement the application code.

The invention relates to a heat supply network real-time data warehouse system. The system comprises a data access module, a real-time calculation module, a big data storage subsystem and a data application module; the data access module is used for carrying out partition storage on acquired data in a standard format; the real-time calculation module is used for carrying out detail summarization and application processing according to the acquired data and outputting a summarization result and an application processing result to the big data storage subsystem, the detail summary is a process of associating the unit real-time data with the related dimension data, and the application processing is a process of performing data processing according to business requirements; the big data storage subsystem is used for storing the data output by the real-time calculation module by adopting a data model; and the data application module is used for carrying out multi-dimensional analysis, artificial intelligence application or business intelligence application on the data stored in the big data storage subsystem. Integration of heat supply network data can be realized, and standardized multi-dimensional analysis of the data is realized.