710 results about "Datapath" patented technology

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 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.

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.

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.

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.

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.

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 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.

The invention relates to the technical field of data backup, and discloses an iOS device data backup and recovery method and system, and the method comprises the steps: carrying out the SSL certificate verification and EscrowBag key authentication of an iOS device, and obtaining a data path list; according to the data path list, parallel scanning of APFS file system B-Tree traversal, NAND flash memory page reading and SQLite WAL log analysis is carried out on the iOS device storage partition, and an original data set is obtained; performing integrity evaluation based on the original data set to obtain an effective data set and constructing a virtual file index; the data selection list of the user is confirmed based on the virtual file index, safety recovery is executed, and a data recovery result is returned. The SQLite page Cell reconstruction and fragment file signature matching technology is combined, intelligent repair and quality prediction can be conducted on damaged data, the user experience and operation efficiency are improved, and the user experience is improved. And the security and the reliability in the data recovery process are ensured.

The invention discloses a memory performance detection method, device and equipment and a memory medium, and relates to the technical field of memory performance detection. Memory with the same capacity of a data path port of a memory box is mapped to an endpoint port, the mapped memory is converted into an extended memory which can be identified by a host node, and then the memory performance of the extended memory is subjected to a consistency test, so that a memory mapping relationship can be quickly and effectively established; according to the embodiment of the invention, the host nodes can schedule the memory capacity required by the host nodes in the memory box, and the inconsistency caused by different mapped memory spaces is eliminated by configuring extended memories with the same capacity for the host nodes, so that the memory performance of the plurality of host nodes tends to be consistent on the premise, and the effectiveness of the consistency test is improved.

The invention relates to the technical field of integrated circuits, and provides a self-adaptive frequency modulation and voltage regulation chip control circuit and method, the circuit comprises a time sequence monitoring module which comprises a critical path replication sub-module and a daisy chain delay sub-module which are connected, and the critical path replication sub-module is used for simulating an actual critical data path in a chip; the daisy chain delay sub-module is used for applying a configurable delay amount on a time sequence to the output data signal; the time sequence performance after different time points is simulated; the first trigger is used for transmitting data signals; the sampling trigger module is used for sampling the data signal output by the time sequence monitoring module; the comparison logic module is used for generating a multi-bit time sequence margin indication code according to a comparison result; the time sequence margin indication code is used for adaptively adjusting the working frequency or the working voltage of the chip. According to the invention, through accurate monitoring and self-adaptive adjustment of a chip time sequence, all design margins can be utilized, and the energy utilization efficiency is improved, so that extreme low power consumption is realized.

A warehouse logistics scheduling system based on big data analysis specifically relates to the technical field of logistics scheduling, and comprises an order emergency degree calculation component which is configured to integrate order information, customer data and inventory records, perform standardization processing on multi-source heterogeneous data through a big data analysis technology, calculate order emergency degree indexes, and send the order emergency degree indexes to a server; the equipment scheduling optimization component is configured to output a scheduling execution coefficient of equipment based on the order emergency degree index and the equipment real-time state data, and the system dynamic balance component is configured to collect storage energy consumption data, path congestion data and equipment execution data, calculate a system dynamic adjustment coefficient through a multi-objective optimization algorithm and output the system dynamic adjustment coefficient. According to the warehouse logistics scheduling optimization system and method, through deep fusion of big data analysis, an intelligent closed loop of warehouse logistics scheduling is constructed, and the scheduling targets of high timeliness, low cost and stable operation of the system are finally achieved.

A method for managing data includes: receiving a file analysis request from a user, in which the request includes merging criteria, a first data path to access a first file, a second data path to access a second file, and a third data path to access a third file; obtaining the first file using the first data path, the second file using the second data path, and the third file using the third data path; analyzing the merging criteria; inferring, based on a determination, that the second file is suitable to be merged with the first file and the third file is not suitable to be merged with the first file; merging, based on the merging criteria, the first file and the second file to generate an output file; and initiating, via a graphical user interface (GUI), displaying of the output file to the user.

The invention provides a chip time sequence analysis method and device, and the method comprises the steps: determining the second data path time delay between the corresponding ports of interconnected modules according to the first data path time delay of the corresponding port of each module and the interconnection relation information between the modules under the condition that a plurality of modules are in a target stable state, the interconnection module comprises two modules which are directly connected in the modules; and determining convergence information of the top time sequence of the interconnection modules according to the clock period, the trigger establishment time, the clock uncertainty, the clock skew between the interconnection modules and the second data path time delay. According to the method and the device, the time sequence between the interconnected modules can be quickly analyzed before the top-layer time sequence analysis is executed, and the time sequence analysis efficiency of the top layer of the chip is improved without waiting for all the modules to complete a physical implementation process.

The invention discloses a PCIe interface chip layout and wiring method, and belongs to the field of chip design automation. In order to reduce adverse effects of Setup violation and Hold violation on chip performance, when physical layout arrangement of a PCIe interface chip is placed and a clock tree is synthesized, an IP core receiving side interface signal and register information associated with an IP core internal receiving side are captured, and a register associated with the IP core internal receiving side is placed according to the IP core direction, so that the chip performance is improved. And according to the delay length of the data path of the receiving side interface in the IP core, the delay length of the clock path of the receiving side interface in the IP core, and the delay length of the data path between the registers associated with the receiving side in the IP core, constraining the clock length of the registers associated with the receiving side. The method is applied to the field of chip design, and the chip has better performance and power consumption and smaller area.

The invention relates to a discrete distributed load driving system and method, computer equipment and a storage medium. The method comprises the steps that S1, a master control module generates an ordered 0th data packet according to a physical connection sequence of driving modules; s2, the main control module sends the 0th data packet to a first driving module of a one-way data path; s3, the mth driving module receives and analyzes the (m-1) th data packet sent by the upstream to obtain the mth control instruction; s4, the mth driving module drives a load connected with the mth driving module according to the mth control instruction; and S5, the mth driving module cuts off the first sub-data frame from the (m-1) th data packet and repacks the (m-1) th data packet to generate an mth data packet, and sends the mth data packet to a downstream (m + 1) th driving module. The method and the device have the effect of reducing deployment and maintenance cost during large-scale load control.

A request-response based paravirtualized I / O system and method relating to the fields of virtualization and cloud computing includes a request-response application, a front-end drive module and a back-end drive module. The front-end drive module and the back-end drive module interact by means of a transmit queue and a receive queue. The request-response application generates an I / O request, and the front-end drive module writes the I / O request into the transmit queue. The system has two operating modes: a notification mode and a polling mode. The system operates by default in the notification mode. When the request-response application issues a connection establishment or service request, the system switches to the polling mode. This system and method introduce an optimistic polling mechanism, combine the advantages of the notification mode and the polling mode, reduce the number of VM exits and decrease wasting of computing resources, thus improving data path performance.

Aspects of a storage device including a memory and a controller are provided, which allow for error detection or data integrity checking during data transfer of write operations and read operations. The controller may be configured to generate data integrity information based on at least one data byte to be written to the memory, and to transfer the at least one data byte contemporaneously with the data integrity information on separate data paths to the memory. The controller may be configured to select between transferring data bus inversion information or the data integrity information based on whether a data integrity protection mode is active between the memory and the controller. The memory may be configured to receive the at least one data byte and the data integrity information from the controller, and detect whether an error exists in the at least one data byte based on the data integrity information.

A memory controller is coupled via at least one data path to plural memory regions for distributing and storing plural data entries. The memory controller includes parity generating circuitry configured to: perform logical operations on the plural data entries, based on an order in which the plural data entries are transmitted to the plural memory regions, to generate a parity entry; and add location information of the plural data entries, stored in the plural memory regions, into the parity entry.

The present application relates to a data replay method, a data processing unit, a network interface card, a device, and a storage medium. The method comprises: when a storage stack is restarted, acquiring a replay-pending request queue from a persistent memory, the replay-pending request queue being a queue obtained by mapping a transmission buffer area into the persistent memory, and the transmission buffer area being used for receiving a request from a host side; on the basis of the replay-pending request queue, acquiring a replay-pending request from the persistent memory; and resending the replay-pending request to a target acceleration component directed to a storage device, so as to instruct the storage device to store target data which resides in the persistent memory and corresponds to the replay-pending request. In the method, a request queue, a request, and data corresponding to the request are stored in the persistent memory in advance, and if the storage stack is restarted, the replay-pending request is recovered from the persistent memory, eliminating the need for DMA and encryption / decryption techniques, and shortening an interruption duration of a storage data path, thereby improving data storage efficiency on the host side.

The invention belongs to the technical field of intelligent detection and operation and maintenance, and provides a gas station and oil depot inspection and maintenance and inspection system based on AR glasses, and the system comprises the steps that an AR module detects a storage tank to obtain comprehensive multi-source data; the data visualization module superposes and displays the comprehensive multi-source data at the physical position of the storage tank in real time to obtain real-time picture data of the AR glasses; the path optimization module plans a shortest inspection path and guides an inspector through a ground projection arrow; the collaborative maintenance module receives the real-time picture data of the AR glasses through the collaborative platform, marks the real-time picture data and sends a maintenance instruction; the training drilling module simulates the oil unloading process of the oil tank truck, sends out an operation instruction and records the operation duration; the simulation evaluation module compares actual operation with the operation instruction, sends out virtual leakage early warning information and generates a capability evaluation report; the real-time storage tank state is obtained through the AR technology, and the shortest inspection path is obtained, so that the inspection time and energy consumption are reduced, and meanwhile, the maintenance time is shortened.

Provided are a communication method and a communication device, the method comprising: a first AP MLD receiving a first frame, the first frame being used for requesting to transfer one or more contexts of a non-AP MLD to a second AP MLD, the non-AP MLD being associated with the first AP MLD; the first AP MLD transfers a data path of the non-AP MLD to the second AP MLD according to the first frame; and after the data path of the non-AP MLD is transferred to the second AP MLD, the first AP MLD transfers one or more contexts of the non-AP MLD to the second AP MLD according to the first frame. Through the method, the data path of the non-AP MLD can be switched to the target AP MLD before the context transfer is completed, so that the data volume of data transmission is reduced, and the transmission overhead is reduced.