870 results about "Datapath" patented technology

A method for performing an application migration operation includes initiating the application migration operation to migrate an application from a source device to a target device, where the source device includes a source data migration agent and the target device comprises a target data migration agent. The method also includes initiating an active scan of network traffic at a transmission control protocol layer. The method further includes establishing a secure data path between the source device and the target device. In addition, the method includes beginning migration of the application from the source device to the target device using the secure data path. Moreover, the method includes making a first determination, using the active scan, that a data packet is associated with suspicious activity and rejecting the data packet based on the first determination.

The invention discloses a container tracking management system and method. The method comprises the following steps: S1, carrying out dynamic encryption binding and multi-dimensional data acquisition on an RFID chip; s2, realizing real-time position data acquisition of the container under different environmental conditions through a multi-source signal fusion and error correction algorithm; s3, various sensor modules are installed inside and outside the container, and data processing is carried out through distributed edge nodes; s4, performing on-chain storage on total data generated in the transportation process through a Hash encryption algorithm, and realizing automatic data verification, state tracking and abnormity alarm in combination with an intelligent contract; s5, carrying out real-time dynamic modeling analysis on the transportation path and resource allocation, and dynamically adjusting the transportation plan by using a distributed scheduling strategy; and S6, integrating the real-time state data, the path optimization model and the transportation scheduling decision, and providing a report for a user. The method has the advantages of high positioning precision, high data security, high transportation efficiency and good real-time performance.

The invention discloses a computing platform management system based on artificial intelligence, particularly relates to the technical field of distributed storage resource dynamic allocation, and is used for solving the problem of resource allocation oscillation caused by hardware performance difference and dynamic attenuation in the prior art. Acquiring the hardware performance, the load state and the data path of the storage node through a real-time acquisition module; the entropy judgment module calculates a path topology entropy and triggers a reconstruction instruction; the resonance analysis module analyzes the group association strength of hardware performance degradation and marks a resonance node group; the weight generation module fuses the parameters to generate a dynamic allocation weight; the error compensation module optimizes a weight coefficient in combination with historical error data; the migration execution module executes migration according to the weight and limits the load of the resonance node; through cooperative regulation and control of topological entropy monitoring and hardware resonance analysis, local oscillation diffusion is inhibited, unnecessary migration operation is reduced, system stability is improved, and the service life of hardware is prolonged.

The invention discloses mixed precision multiply-add operation hardware, which comprises an input processing unit used for obtaining standard symbols, standard indexes and standard mantissas according to a pre-configured input format and unpacked input multiply-add operation factors, and obtaining input and output special value detection results; the floating point multiplier-adder is used for calculating an operation result after the operand multiplies the scaling factor and the offset is accumulated according to the symbol, the exponent and the mantissa of each multiplication-addition operation factor; and the output processing unit is used for obtaining a target format result according to a pre-configured output format, a rounding type and a normalization and rounding operation result, packaging the target format result according to a detection result and outputting the target format result, and by multiplexing a data path of the floating-point multiplier-adder, the chip area is saved, format conversion is integrated, a data stream is simplified, and the data processing efficiency is improved. The requirements for automatic reconstruction of the multiply-add operation unit according to input and output formats and quantization and inverse quantization of floating points and integers are met, and the reuse rate of computing resources is increased.

The invention relates to the technical field of digital marketing, and discloses an omni-channel marketing funnel intelligent attribution model and an automatic budget distribution system, and the model comprises a data collection module which is used for collecting data through a contact recording device and a user identification device which are disposed at a marketing terminal, and a behavior tracking device and a channel classification device which are disposed at a user side. Acquiring information such as multi-channel marketing contact interaction data, user behavior data and channel types; the path analysis module realizes data path analysis through time sequence synchronization of a time alignment unit, feature matching of a path association unit and dynamic adjustment of a computing power scheduling unit; the attribution calculation module generates the conversion attribution weight of each channel based on the matching data; and the budget mapping module establishes a dynamic mapping relationship between the weight and the budget and updates the dynamic mapping relationship. The system outputs the attribution result through the model application module, and the budget execution module distributes the budget according to the dynamic mapping, so that the channel contribution can be accurately evaluated, the scientific distribution of the marketing budget is realized, and the marketing efficiency and the rate of return on investment are improved.

Vector-scaled hierarchical codebook quantization reduces precision (bitwidth) vectors of parameters and may enable energy-efficient acceleration of deep neural networks. A vector (block array) comprises one or more parameters within a single dimension of a multi-dimensional tensor (or kernel). For example, block array comprises 4 sub-vectors (blocks) and each sub-vector comprises 8 parameters. The parameters may be represented in integer, floating-point, or any other suitable format. A vector cluster quantization technique is used to quantize blocks of parameters in real-time. Hardware circuitry within a datapath identifies an optimal codebook of a plurality of codebooks for quantizing each block of parameters and the block is encoded using the identified codebook. During processing, the identified codebook is used to obtain the quantized parameter and perform computations at the reduced precision.

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain metadata associated with a snapshot stored by the DMS and including information associated with data paths in the snapshot. The DMS may scan an index registry for identifiers of the data paths to determine whether the index registry includes namespace and hierarchical index information that map the data paths to path identifiers and to descendent data paths within the snapshot, respectively. The DMS may generate term and count index information based on the metadata. The term and count index information may map terms to data paths that include the terms and numerical values associated with the terms, respectively. The DMS may store, in the index registry, the term and count index information with an identifier of a corresponding index group. The namespace and hierarchical index information may be common to multiple index groups.

The invention belongs to the field of eye movement data tracking, particularly relates to a pilot eye movement tracking method, system and equipment based on multi-camera fusion and a storage medium, and aims to solve the problems that in the prior art, the visual angle of a traditional eye tracker is limited, and sight estimation errors are caused by head movement. The method comprises the following steps of: constructing a multi-view visual perception network by deploying multiple cameras and eye trackers in a cockpit; multi-source data space-time alignment is achieved through space coordinate system mapping and time synchronization, and head motion errors are compensated by combining dynamic cutting of eye interested areas and three-dimensional head posture estimation. The geometric path generates a physical driving vector based on iris fitting and an eyeball model, and the data path regresses the vector through a deep learning model; and converting to a world coordinate system through a head posture after fusion. High-precision data of the eye tracker is preferentially adopted in the central area, and field-of-view data of the system is expanded in the edge area. According to the invention, the tracking precision under field angle coverage and motion interference is obviously improved.

A method for performing an application migration operation, the method includes initiating the application migration operation to migrate an application from a source device to a target device, where the source device includes a source data migration agent and the target device includes a target data migration agent. The method also includes initiating an active scan. Further, the method includes establishing a secure data path between the source device and the target device. Moreover, the method includes making a first determination, using the active scan, that the network traffic or the source performance metrics are indicative of suspicious activity and logging information about the suspicious activity. The method also includes making a second determination that the application migration operation is complete and terminating the active scan and the secure data path based on the second determination.

The invention relates to the technical field of financial knowledge maps, in particular to a large language model-based data structure adaptive visualization method, which comprises the following steps of: acquiring internal quantitative data and external unstructured text data of an investment portfolio; processing the quantized data and the text data by using a large language model, constructing a dynamic financial knowledge graph, and updating a risk conduction weight between entities in the dynamic knowledge graph in real time by using a causal event extracted from the text data; receiving a risk impact hypothesis input by a user, and performing prospective simulation based on the dynamic financial knowledge graph and the risk impact hypothesis to generate a plurality of synthetic risk data paths; generating a visual result based on the plurality of synthetic risk data paths; and in response to the selection of the user on the specific simulation result on the visual result, executing anti-fact analysis, and generating an attribution report containing the contribution degree, so that the interactive risk simulation and automatic attribution analysis of the visual result are realized.

The invention relates to a retiming circuit applied to an ultra-high-speed and high-precision DAC (Digital-to-Analog Converter), which comprises an alignment module, a cross point adjusting module, a coding module, a phase detection module and a digital module, the coding module is connected with the alignment module, the phase detection module is connected with the cross point adjusting module and the coding module, and the digital module is connected with the phase detection module and the alignment module. According to the circuit structure provided by the invention, the sampling clock can be accurately aligned to the center of a data eye pattern, so that the delay difference between a clock tree and a data path caused by process deviation and the like is effectively reduced, the high-frequency spurious suppression performance is improved by eliminating nonlinear distortion caused by time sequence errors, the SFDR is greatly improved, and compared with a traditional scheme, the SNR is effectively improved.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

Disclosed are systems, apparatuses, methods, and computer-readable media for machine learning of data path rules for gateway services. A method includes: receiving a command related to a configuration of a firewall of a gateway; obtaining a subset of rules from a collection of rules to apply to a second instance of the firewall that replaces a first instance of the firewall, wherein the collection of rules are expressly associated with the firewall of the gateway; loading the subset of rules and the second instance of the firewall; and when the first instance is available after loading the subset of rules, processing network traffic of the gateway based on the subset of rules

The invention relates to the field of numerical control machining center control, in particular to a control system and method suitable for a five-axis machining center, and the system comprises a data input module, a path planning module, a data processing module, a data processing module and a control module, the motion path generating module is used for generating a motion path of a cutter according to the geometrical shape and process requirements of a machined part, the motion control module is used for controlling motion of all axes in real time, the interference detection module is used for adjusting the path or posture of the cutter according to a detection result, and the feedback control module is used for collecting state data in the machining process through all sensors. And real-time adjustment and error compensation are carried out on the machining process according to the data, so that the problems of poor machining precision and relatively low working efficiency due to the fact that a machining tool path needs to be manually demonstrated during operation of the five-axis machining center at the present stage and parameters such as tool compensation, feeding amount and cutting speed need to be manually input according to a tool model are solved.

Disclosed herein are methods and systems to generate code for a workflow. A non-limiting example of a method comprises executing, by a processor, a large language model, which receives an input of an intent associated with a workflow and provides a machine-readable description by: identifying, by searching a hierarchical data structure using a vector embedding associated with the intent, an object corresponding to the intent; identifying a set of data paths within the hierarchical data structure to retrieve the identified object; and generating the machine-readable description, the machine-readable description describing the object and at least one data path within the set of data paths; and generating, by the processor, code for the workflow using the machine-readable description.

Embodiments of the invention provide a tree form data processing method and apparatus, an electronic device and a readable storage medium. The method comprises the steps of determining selected information corresponding to a selected instruction; monitoring a dragging action of a mouse cursor, predicting a real-time terminal point position of the model through a dragging terminal point, and dynamically rendering a visual prompt layer at the same time; when monitoring that the dragging action is a stop action, determining the placed data and obtaining a data path, and when the data type of the to-be-dragged data is a combination type, obtaining a data set of a to-be-dragged combination where the to-be-dragged data is located and an index position where first data in the to-be-dragged combination is located, assigning the index position to a tail end index in a data path of the data to be dragged; and traversing data elements adjacent to the placed data in the data path of the placed data to update the key value distribution. According to the method, the defect of performance optimization in the process of executing the dragging action by the preset tree form is effectively solved, and the experience feeling in the process of operating the preset tree form by a user is remarkably improved.

An example method for verifying data integrity in a storage system includes detecting a data access operation that processes data via a data path between a client and a storage device of the storage system, the data path including at least a first and a second processing stage; generating, based on the data access operation, a first instance of a first checksum at a first time based on a first intermediate representation of the data; generating, a second instance of the first checksum at a second time; modifying, based on the second checksum being different from the first checksum, the first intermediate representation to generate a corrected first intermediate representation; generating, based on the corrected first intermediate representation, a third checksum; and directing, based on verifying that the third checksum matches the first checksum, the second processing stage to generate the second intermediate representation.

The invention relates to the technical field of factory intelligent inspection, and discloses a distributed factory intelligent inspection path dynamic planning and fault linkage processing system. The system comprises four core modules, namely a partition monitoring module, a path planning module, a fault analysis module and a linkage execution module. The subarea monitoring module obtains current operation data of each production area and provides basic data for a subsequent process; the path planning module generates an initial inspection path, breaks through the limitation of a traditional fixed path, and optimizes the distribution of inspection resources. The fault analysis module calculates a path deviation value according to the real-time operation state data of the path nodes, and captures node state changes to identify fault risks; and the linkage execution module triggers the linkage processing instruction of the corresponding area according to the deviation value, thereby reducing information transmission links and realizing rapid fault response. The system forms a complete closed loop of data monitoring, path planning, deviation analysis and linkage processing, and ensures the production stability and safety of distributed factories.

Systems and methods are provided for customized grouping of end user devices using a new group identifier tag (GIT) in addition to role-based access (e.g., administrator or guest) and device identifier access (e.g., IP or MAC address). Two components may be implemented at a network access device, including a data plane component and a control plane component. For example, the control plane component may authenticate an end user device, store the MAC and IP addresses for authenticated end user devices, and define access roles for the end user device in the datapath. The data plane component may perform packet processing (e.g., forwarding and policy enforcement) pursuant to previously-defined rules. Whenever a packet arrives at the Network Access Device, the packet is forwarded according to the rules specified by the “role” and GIT present in the entry, allowing for improved processing and scalability of network traffic processing.

The invention is applicable to the technical field of integrated circuit design, and provides a method for repairing crosstalk noise violation on a data path, which comprises the following steps of: reading a crosstalk noise violation report of a static time sequence analysis STA tool; finding an interconnection line corresponding to each violation in the report from a layout wiring tool, and finding adjacent interconnection line position information and connected logic unit information of the current interconnection line; selecting a corresponding repairing scheme according to the specific conditions of the interconnection lines and the connected logic units, and executing and adjusting the repairing scheme so as to repair crosstalk noise on a data path; and after a round of repair is completed, if crosstalk noise violation is also detected in the STA tool, the steps need to be executed again until all crosstalk noise problems are solved. According to the method provided by the invention, the crosstalk problem is efficiently identified and solved through an automatic process, the signal integrity and the function correctness of circuit design are ensured, and compared with a traditional scheme, the method is more targeted, and the gain brought by single change is favorably improved.

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic while applying injection limits to different traffic classes at an ingress edge port. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. Furthermore, an edge switch can dynamically allocate the ingress port bandwidth among the traffic classes that are active at a given moment.

In a memory system, receiver reference voltage adjustment per path provides the capability to adjust receiver reference voltages on a per path basis. Adjustment of receiver reference voltages for the memory device to an optimal receiver reference voltage per path is accomplished with dedicated mode registers and a local receiver voltage reference adjuster circuit in the memory device for each data path. The optimal receiver reference voltage is determined during training based on selected feedback per path from the memory device. The dedicated mode registers contain adjustment values that were previously programmed during training, and include adjustments steps to add to or subtract from a global receiver reference voltage for all paths until reaching the optimal receiver reference voltage for a current path.

The precision time protocol (PTP) runs on the peer switches in an MLAG domain. PTP messages received by one peer switch on an MLAG interface is selectively peer-forwarded to the other peer switch on the same MLAG interface in order to coordinate a synchronization session with a PTP node. The peer-forwarded messages inform one peer switch to be an active peer and the other peer switch to be an inactive peer so that timestamped messages during the synchronization session are exchanged only between the PTP node the active peer, and hence take the same data path.

The invention relates to the technical field of numerical control machining, in particular to a multi-cutter cooperative machining numerical control machine tool system based on dynamic error compensation, which comprises a data acquisition unit for acquiring historical machining data; the path determining unit is used for determining a pre-processing path and an overlapping processing area of the blank; the machining executing unit is used for determining the cutting depth proportion of each cutter for executing single-time machining on the blank and executing machining; the image acquisition unit is used for acquiring surface images of a processing surface of the blank before and after processing in real time; the data analysis unit is used for determining a thermal diffusion area and a thermal deformation area of the processing surface of the blank, and determining to execute dynamic error compensation on the plurality of cutters according to the coverage rate of the thermal deformation area; the compensation regulation and control unit is used for determining dynamic error compensation according to the coverage rate; and the optimization adjustment unit is used for optimizing the dynamic error compensation parameters based on the area proportion of the mutation points of the processing area. The machining precision of the multi-cutter cooperative machining numerical control lathe on the workpiece is improved.

The invention relates to the technical field of path planning, in particular to a multi-target multi-AGV path planning method based on deep reinforcement learning, and the method comprises the following steps: obtaining the real-time states of all AGVs in an intersection area, calculating the advancing direction included angle, the task urgency degree ratio and the path density prediction, and obtaining a state parameter set. According to the method, reasonable allocation of task priorities is realized through real-time and accurate acquisition of equipment states and comprehensive analysis of multi-dimensional data and traffic scheduling in a path intersection area, equipment which may cause congestion is identified and adjusted by adopting a prediction technology, and a conflict avoidance strategy is optimized by combining speed control and direction correction, so that the method is more efficient and reliable. Through flow trend analysis, traffic in a possible congestion area is adjusted in advance, equipment is ensured to pass in a balanced manner according to an optimized path, equipment stability is improved through adaptive adjustment of a complex environment, conflicts and congestion are effectively reduced, and driving efficiency and task execution stability are improved.

The embodiment of the invention provides a cross-clock domain data transmission method and device. The method comprises the following steps: sampling a first clock of a first clock domain by using a second clock of a second clock domain and outputting a sampling signal; moving a second clock edge of the second clock according to the sampling signal to enable the second clock edge to move from one side of a first clock edge of the first clock to the other side of the first clock edge of the first clock; repeatedly executing the step of sampling the first clock by the second clock and outputting the sampling signal and the step of moving the second clock edge of the second clock according to the sampling signal, so that the second clock edge reciprocates on the two sides of the first clock edge; judging whether a clock locking signal is generated or not; after the clock lock signal is generated, data transmission in a data path between the first clock domain and the second clock domain is enabled. The method and the device do not depend on a traditional asynchronous handshake mode or buffer mechanisms such as FIFO, delay needed by synchronous logic is avoided, and the method and the device are suitable for the requirement of high-speed communication.

The invention relates to the technical field of information retrieval, in particular to a digitized visitor recording system for a cultural relic museum, which comprises a visitor identity splitting module, a certificate field verification module, a path buffer continuing module, a time field splitting module and a passage information retrieval module. According to the method, a calling priority rule is established according to the difference between field sources and character formats, multi-source data are sequentially split and orderly called, certificate affiliation content is divided according to the corresponding relation between birth time and administrative setting time, so that the regional association relation has a distinguishable boundary, and by setting a field state monitoring and delayed write-in mode, the certificate affiliation content can be obtained. And keeping the continuity of a data path transmission process, matching exhibition hall numbers and corresponding open time periods in combination with a sequence of time fields, so that a visitor staying process has a continuous time positioning basis, matching identity numbers and passing records through an entrance and exit sequence, and communicating passing tracks of visitors in each node in an exhibition area.

A method of operating a network device is provided. The method can include obtaining incoming data packets, conveying the incoming data packets through a parallel data bus, and using a demultiplexer to split the incoming data packets being conveyed through the parallel data bus onto a plurality of separate independent data paths within the network device. The method can further include using a multiplexer to aggregate or merge data packets from the plurality of data paths onto an egress parallel data bus.

Various implementations described herein are related to a device having first datapath circuitry with input devices that receive data from a number of write ports and provide first data. The device may have second datapath circuitry with logic gates that receive the first data from the input devices and provide the first data based on a read bitline signal. The device may have third datapath circuitry with output devices that receive the first data from the logic gates and provide second data to a number of read ports. Also, the number of read ports is greater than the number of write ports.