35 results about "Adaptive hardware" patented technology

The present invention provides a system, method and software for programming and configuring an adaptive computing architecture or device. The invention utilizes program constructs which correspond to and map directly to the adaptive hardware having a plurality of reconfigurable nodes coupled through a reconfigurable matrix interconnection network. A first program construct corresponds to a selected node. A second program construct corresponds to an executable task of the selected node and includes one or more firing conditions capable of determining the commencement of the executable task of the selected node. A third program construct corresponds to at least one input port coupling the selected node to the matrix interconnect network for input data to be consumed by the executable task. A fourth program construct corresponds to at least one output port coupling the selected node to the matrix interconnect network for output data to be produced by the executable task;

Systems and methods for network transmission of three-dimensional graphical data are disclosed. A single graphical application instance can virtually and efficiently exist on multiple local or remote display systems by directly sharing its raw rendered framebuffer memory information among all local or remote graphics accelerators, thus avoiding the need to re-render any application information again on each node. An internal graphics card is used to scale the rendered data prior to transmission. This graphics scaling eliminates the need for data compression or image compression and achieves an adaptive, hardware-accelerated reduction in network bandwidth. Furthermore, since all memory and remote processing support tasks are performed within the graphics card, the CPU, system bus, and memory bandwidth remain available to the system and other applications.

An automated system and method to request, process, fulfill, manage and terminate an inter-provider IP service is introduced to allow the realization of an electronic inter-provider IP service, including the service definition, requisition, contracting, provisioning, management, fulfillment and settlement. The system includes an adaptive hardware infrastructure and flexible software to define business models and revenue structures that can adapt to business requirements and provide real-time information to profit centers.

The invention relates to a GAMMA correction device of display equipment, comprising display equipment, an acquisition device, a calculating device and a programmable GAMMA cache device, wherein, the acquisition device is used for acquiring the brightness and colourity numerical value under the gray level, the acquisition device is used for acquiring the brightness and colourity numerical value under the gray level, the calculating device is used for calculating the acquired brightness and colourity numerical value to obtain RCB numerical value; the programmable GAMMA cache device is used for receiving set value of the corresponding RCB to generate a GAMMA correction reference voltage corresponding to the RCB. The invention reduces complexity and inaccuracy brought by adopting a complex hardware manner required by a traditional GAMMA modulation, and has a wide application range, can generate different GAMMA curves on different equipment. While in the traditional manner, an adaptive hardware design is carried out on the same type of equipment.

The invention discloses a large data cluster deployment method for self-adaptive hardware configuration, which sends a synchronization request to a puppet-master through a puppet-agent, detects server hardware configuration information and sends it to the master after the authentication is passed; the master generates a pseudo code and sends it to the agent; The agent executes the pseudo-code content belonging to its own node, completes the automatic deployment of the cluster, and ends this synchronization. The present invention realizes the automatic batch deployment of the big data environment. From hardware information detection and acquisition to software installation and configuration file generation, all are programmed, without the tedious work of manually installing software and changing configuration files. It is a kind of big data with adaptive hardware configuration. Cluster automation deployment method. This method reduces the workload of building and deploying big data clusters, saves the time and cost of cluster deployment, and facilitates subsequent unified management and operation and maintenance.

The invention provides a method capable of quickly transplanting adaptive hardware and a firewall. The method comprises the steps that a kernel startup script in a system kernel is modified, and a script file is increased; the user mode platform type is judged according to hardware information detected by the system kernel; a network card is detected in the user mode according to the script file, and a driver is loaded according to the detected driver type; whether the network card interface detection order is consistent with the network card interface display order is judged, and the network card interface detection order is adjusted to be consistent with the display order if the judgment result is no so as to complete registration of the network card interface; and the firewall service is initialized so as to start the firewall. A set of firewall system is enabled to be suitable for updating and upgrading of multiple types of hardware equipment under the condition of little modification by the method so that time and labor cost can be saved.

The invention discloses a tightly coupled self-adaptive co-processing system supporting a multi-core network processing framework. The tightly coupled self-adaptive co-processing system includes a DAHM (Direct Access High-Speed Memory) which is a two-port SRAM (Static Random Access Memory) and is a primary data memory of a CPU for direction providing operand for the CPU; a DAMTCM (Downstream Adaptive Message Transmission Co-processing Module), for transmitting data between network interface controller and each one of multiple cores, wherein the DAMTCM directly accesses the DAHM; an UAHACM (Upstream Adaptive Hardware Acceleration Co-processing Module), for accelerating message process inside the multiple cores, wherein the UAHACM direct accesses the DAHM; an interpolation transmission arbitration module, positioned between the UAHACM and the DAHM, for being matched with the UAHACM to complete data transmission of the DAHM in an interpolating manner. The tightly coupled self-adaptive co-processing system has the advantages of being flexible and easy to program, capable of flexibly switching execution of hardware and wide in application range.

The invention discloses a method and system for realizing a mobile phone token based on key division, and belongs to the technical field of information security. The problems that a USB Key cannot adapt to the application environment of mobile phone terminals and that other adaptive hardware devices are inconvenient to carry are solved. The adopted technical scheme is as follows: the method for realizing the mobile phone token based on key division comprises the following steps: after a cipher machine generates a key, dividing the key to generate key segments, performing dual encryption on the divided key segments, and outputting the key segments to a mobile phone and an authentication server; authenticating the mobile phone by the authentication server through the cipher machine; after the authentication, separately decrypting the key segments by the cipher machine, integrating the key segments into a complete key, and signing or encrypting the data; and after the key is used once, destroying the key by the cipher machine. The system for realizing the mobile phone token based on key division comprises a cloud cipher machine, an authentication server and a mobile phone serving as a terminal carrier.

The present invention relates to an IT system for detecting fraud in a data flow comprising at least one data lake enabling the storage of large volumes of data, a platform containing at least one production environment comprising at least one self-adaptive hardware and software architecture comprising a plurality of stored fraud monitoring models, at least one memory for data storage, at least one processor, a layer for processing data in 'real time', an online learning unit and a service layer connected to the processing layer by a communication means, all or each one of the layers comprising at least hardware and software implementing a micro-service executed on the IT hardware architecture processor to enable, respectively, checking and/or monitoring of the data flow, in real time, retraining and updating of the monitoring models, in real time, and managing the data processed.

The invention discloses an adaptive hardware PID controller for controlling a motor and a control method of the adaptive hardware PID controller. The adaptive hardware PID controller comprises a first adder, a PID coefficient adjustment step length determining circuit, an adder group, a multiplier group and a second adder. The method comprises the following steps of subtracting a measured value from a target value; determining three coefficient adjustment step lengths according to the error magnitude and three coefficient adjustment step lengths of the previous period; adding the determined three coefficient step lengths to three coefficients of the previous period separately to obtain three coefficients of the period; multiplying the obtained three coefficients of the period with the error, error and differential of the error; and carrying out integral operation on the product of an integral coefficient and the error and then adding the product of a proportion coefficient and the error and the product of the integral coefficient and the differential of the error to obtain a control value. The adaptive hardware PID controller is widely applicable to various motor control scenes; and the motor is more accurately controlled by adopting different coefficients at different stages, control on the motor is completed through a pure hardware algorithm and the calculation speed is very high.

The invention discloses a serial port data processing method for a Unity 3D platform. The serial port data processing method for the Unity 3D platform is capable of, through fusion and correction, converting the error data read by the serial port in the Unity 3D platform to the correct available data. Through performing the secondary filtering to the processed data, uncorrected null data can be filtered. In the Unity 3D platform, automatic dynamic adaptive hardware configuration can be realized by the mode of developing multithreading or the open of the multithreading is controlled by the mode of setting time threshold value so as to achieve the rate of manual regulating receiving data.

The invention belongs to the field of embedded intelligent computing, and provides a heterogeneous fusion embedded intelligent computing implementation method. The method comprises the steps of determining algorithm characteristics of a required core intelligent algorithm by analyzing task characteristics of intelligent tasks in an equipment embedded system OODA full task chain, determining and selecting a core intelligent algorithm of a corresponding category according to the required algorithm characteristics, wherein the core intelligent algorithm is divided into a knowledge-driving algorithm, an intelligent optimization algorithm and a deep learning algorithm, scheduling through application service management, mapping the selected core intelligent algorithm to a corresponding softwareoperation framework in a system platform service layer, wherein all the software running frameworks are loaded into an adaptive hardware module when the system is started, and selecting a hardware module through resource service management to load the core intelligent algorithm. According to the method, efficient, flexible and universal intelligent computing support service can be provided for equipment OODA autonomous tasks, and execution of the equipment autonomous tasks is accelerated.

The invention relates to an equipment tree configuration optimization method and device, computer equipment and a storage medium. The method comprises the following steps: reading an original equipment tree file from a system startup partition, and loading an original equipment tree into a running memory; reading a target equipment tree file from a target configuration partition, loading the target equipment tree file into a running memory, wherein the target configuration partition is obtained by dividing a file system partition; according to the target equipment tree file, modifying child node information of the original equipment tree file to obtain an updated equipment tree file; loading a kernel driver, and obtaining the updated equipment tree file from the running memory; and realizing connection with the target hardware equipment according to the updated equipment tree file. By adopting the method, the maintenance cost of the equipment tree file adaptive hardware can be reduced.

The invention provides a self-adaptive serial clock sequence detection device and detection method. The device comprises a clock sequence, the clock sequence is connected with a COM character detection module, the COM detection module is connected with a PCIe clock sequence detection unit, the PCIe clock sequence detection unit is connected with a RapidIO clock sequence detection unit, and the RapidIO clock sequence detection unit outputs a detection result. According to the invention, serial detection of two protocol clock compensation sequences of RapidIO and PCIe can be realized; a detection module string is automatically selected according to different clock compensation sequences, a non-current protocol detection module is closed at the same time, the input of the non-current protocoldetection module is blocked, and the influence caused by a small probability event of another protocol clock compensation sequence in a data stream is avoided; according to the invention, when the clock compensation sequence is detected, the indication of the corresponding protocol is given, so that the module connected with the clock compensation sequence can be conveniently modified towards theadaptive hardware direction.