942 results about "Cell Computing" patented technology

A computer networking device includes a plurality of ports, a memory, and a computing unit. The computing unit receives source information and destination information for a snapshot from the host; obtains a read-value of a memory area corresponding to the source information in a memory device through a port identified based on mapping information and the source information; and transmit, to a storage device, the read-value based on peer-to-peer communication for a write operation of writing in a memory area corresponding to the destination information in the storage device through a port identified based on the mapping information and the destination information.

The invention discloses a liquid cooling charging module health state prediction system, and relates to the technical field of electrochemical detection, and the system comprises a multi-parameter collection unit which collects the pressure and flow data of a cooling liquid, and is provided with an independent collection node at each branch of a double-gun charging system, and provides basic data for monitoring; the dynamic calibration unit communicates with the acquisition unit, compensates data drift based on a temperature-vibration interference model of machine learning training, executes baseline calibration by using an idle period to update a reference value, and guarantees data accuracy; the leakage detection unit is used for calculating a data change rate after compensation, outputting an early warning according to a preset condition and positioning a leakage branch; and the health state evaluation unit fuses the early warning signal and the historical operation data to generate a prediction result. The problems that tiny leakage detection is difficult and a sensor is prone to interference can be solved, manual inspection is reduced, the maintenance cost is reduced, and the requirement of a high-power charging scene is met.

The invention relates to the field of Czochralski single crystal furnace crystal bar production, in particular to a Czochralski single crystal shouldering control system, which comprises a CCD (Charge Coupled Device) information acquisition unit, a computer information storage processing unit and a PLC (Programmable Logic Controller) growth regulation unit, the computer information storage processing unit receives information acquired by the CCD information acquisition unit, then performs cloud data storage processing and outputs single crystal shoulder information of a corresponding time node to the PLC growth regulation unit, and the PLC growth regulation unit performs shouldering cooling amount control, automatic crucible lifting intervention in the shouldering process, automatic intervention control of equal-diameter liquid opening distance and pulling speed control. According to the method, the problems of shouldering line breakage and equal-diameter head line breakage caused by the fact that automatic regulation of the current shouldering pulling speed does not conform to actual growth of crystals are solved, and the consistency of field process parameter management is improved.

The invention discloses a prestressed beam simulation method, system and device based on a vector type finite element, and relates to the technical field of finite element simulation, and the method comprises the steps: building a prestressed beam numerical model through a vector type finite element method; dispersing the prestressed beam numerical model into a plurality of nodes and a plurality of prestressed beam units; calculating a stiffness matrix of each prestressed beam unit; determining a control equation of each node based on the stiffness matrix; and solving the control equation of each node by adopting a central difference method, and updating the state of each node according to the solving result to finish the simulation of the prestressed beam. The method can achieve the simulation of the complex behaviors of the prestressed beam, and is high in calculation efficiency and good in calculation stability.

The invention relates to the technical field of intelligent network connection, in particular to a public lane departure coordination control Internet of Vehicles communication node determination method, which comprises the following steps that: step 1, a bus is connected with an intelligent road test unit through a sensor, and the driving state of a social vehicle on a target lane at a # imgabs0 # moment is obtained; step 3, the intelligent road test unit calculates the time difference between the bus and the rear social vehicle of the lane changing target lane passing through the potential conflict point and compares the time difference with a threshold value, step 4, social vehicle lane changing decision making, and step 5, the intelligent road test unit communicates with the social vehicle and collects preference strategies and trajectory data. Step 6 and step 7, judging when a feedback strategy is lane changing or no lane changing, step 8, updating a social vehicle sample set influenced by bus departure, and step 9, establishing a public lane departure coordination control vehicle networking; through the established Internet of Vehicles, the functions of saving regional communication resources to the greatest extent and assisting the buses to go out of the station smoothly can be realized.

The invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle detection tracking device, method and equipment, which comprises a data sensing unit, a calculation unit, a mechanical and power supply unit, a communication and storage unit and a countering execution unit, and is characterized in that the data sensing unit is used for acquiring image data and servo turntable rotation angle data; the calculation unit is used for deploying a lightweight neural network model and a multi-algorithm fusion process, processing sensor data and realizing unmanned aerial vehicle target detection and tracking logic control; the mechanical and power supply unit is used for providing physical support, servo motion capability and energy supply for the device; the communication and storage unit is used for real-time data transmission and storage and encryption archiving of historical data and image videos; and the countering execution unit is used for implementing signal interference or physical interception on the detected and tracked target. Therefore, the problems of easy target loss, low small target identification precision, poor complex environment adaptability, insufficient countering means and the like of a traditional device are solved.

An information processing apparatus, including: a calculating unit configured to calculate, based on the number of second communication terminals having generated a location certificate of a first communication terminal, a reliability of the location certificate; and a determining unit configured to determine, based on the reliability calculated by the calculating unit, a presence or absence of authenticity of the location certificate of the first communication terminal.

The invention relates to the technical field of smart home security and protection, and discloses a smart home security and protection system based on a body, and the method comprises the steps: collecting real-time sensing data through Wi-Fi multipath scattered waves, constructing a body sensing network, recognizing behavior feature information, optimizing a preset security and protection model decision architecture, and obtaining an optimized security and protection process. The method comprises the following steps: firstly, generating a security response path, determining a personnel activity space-time distribution state, calculating a security efficiency value, then determining an optimization direction according to the security efficiency value, generating a dynamic protection organization unit, calculating a misjudgment attenuation rate, and finally determining a security state and analyzing a security dimension according to the misjudgment attenuation rate, thereby constructing a more accurate and intimate intelligent security scheme. According to the invention, the intelligent level of autonomous decision making and active protection of home security can be improved.

The invention relates to the technical field of data processing, and discloses a college budget management system fused with a new quality productivity theory, comprising: a state characterization interface collects process characterization data and maps the process characterization data into a discrete innovation state bit vector; the differential efficiency mapping unit responds to the state bit jump to calculate an efficiency marginal increment and generate an injection instruction; the physical bypass monitoring channel collects physical consumption time sequence data, and the entropy analysis closed-loop unit calculates a metabolic entropy representing the resource consumption order degree; the budget dynamic response control unit generates a state locking instruction when the state bit is constant and the metabolic entropy meets the low-entropy convergence condition, the physical working condition entropy is used for correcting the logic state, and the project resource state is maintained by recognizing the low-entropy resource consumption characteristics when no dominant output exists; the problem that discrete evaluation indexes cannot represent blind areas of continuous scientific research activities is solved.

The invention provides a complex operation lightweight architecture and method based on an FPGA, the architecture comprises a main scheduling module, a calculation module and a floating point operator module, the calculation module comprises a storage unit and a calculation unit, the storage unit obtains and caches input data of a target algorithm, and the main scheduling module carries out the calculation of the target algorithm according to the operation sequence of the target algorithm. The target algorithm is divided into a plurality of calculation steps, and corresponding operation enable signals are generated and transmitted to the calculation unit; the calculation unit obtains target parameters required by calculation steps from the storage unit according to the operation enable signal, obtains floating point operator units required by the calculation steps from the floating point operator module, and executes the calculation steps to determine an operation intermediate result; and storing the operation intermediate result in a storage unit, generating an operation completion signal and transmitting the operation completion signal to a main scheduling module to control the next calculation step until a final operation result is obtained. Therefore, the FPGA architecture with low power consumption and miniaturization is realized.

The invention relates to the technical field of machine learning and software development, in particular to a software development system based on a machine learning algorithm, which comprises an acquisition processing unit, a model training unit, an interaction prediction unit and an optimization feedback unit, and is characterized in that the acquisition processing unit constructs a database, extracts key elements such as variable names and converts the key elements into vectors; the model training unit adopts recurrent neural network hierarchical training and gradually introduces intermediate and complex structure codes and learns logic relation and semantic relation from code snippets related to a basic grammar structure, the interaction prediction unit screens and extracts the code snippets according to code function module labels and historical use frequency, the code snippets are input into a model after vector conversion, and the model is used for prediction. A probability weighting algorithm is used for predicting subsequent fragments, an optimization feedback unit calculates the similarity between predicted fragments and actual fragments, an optimization mechanism is automatically triggered if a threshold value is not reached, parameters are adjusted by utilizing reinforcement learning, and prediction accuracy is used as a key part of a reward function so as to improve the system performance.

To provide a system that automatically selects excellent personnel.SOLUTION: A system according to an embodiment comprises a reception unit, an analysis unit, an evaluation unit, a calculation unit, and a selection unit. The reception unit accepts responses from candidates. The analysis unit analyzes the responses received by the reception unit. The evaluation unit evaluates the responses analyzed by the analysis unit. The calculation unit computes a score based on the evaluation result from the evaluation unit. The selection unit selects excellent personnel based on the score computed by the calculation unit.SELECTED DRAWING: Figure 1

The invention discloses a message processing method and device, equipment and a medium, and belongs to the technical field of data processing, and the method comprises the steps: receiving a to-be-processed message of a client; respectively sending the to-be-processed message to message processing subunits of a plurality of service units; determining a message dequeuing priority of the to-be-processed message through each message processing subunit; in response to the fact that one message processing subunit preferentially calculates and completes the message out-of-column priority of the message to be processed, the message out-of-column priority calculated by the message processing subunit serves as the target message out-of-column priority of the message to be processed; sending the to-be-processed message to a plurality of service units according to the target message dequeuing priority; and processing the to-be-processed message according to the message type. According to the method and the device, the problems of message retention and untimely message processing in the prior art are solved, the usability of the system is improved, and better use experience is brought to a user.

The invention discloses a regional power distribution method and system for distributed new energy consumption, and relates to the technical field of power systems, and the method comprises the steps: obtaining regional power distribution network data, and constructing a power distribution network analysis model; based on the power distribution network analysis model, dividing the regional power distribution network into a plurality of energy autonomous units by calculating the electrical distance and the power sensitivity; calculating an energy complementation index and a load elastic coefficient of each energy autonomous unit, and constructing a unit feature model; dynamically adjusting the active power and reactive power output of the distributed new energy in each energy autonomous unit according to the unit characteristic model; and monitoring the operation state of the energy autonomous units, implementing a cooperative control strategy, and adjusting power exchange between the energy autonomous units. According to the energy autonomous unit division method provided by the invention, the tightly coupled node group can be accurately identified, the nearby consumption and efficient utilization of new energy are realized, and the power transmission and distribution loss is reduced.

The invention discloses a microcontroller-oriented neural network model compression method and device, and belongs to the technical field of neural networks. The method comprises the steps that image sample data are input into a neural network model, the neural network model is trained, in the training process, the neural network model conducts convolution sampling processing on the input image sample data to obtain a feature matrix X, and global feature information is extracted from the feature matrix X through MaSSA and CGFFN; obtaining the minimum pruning unit of the neural network model, calculating the sparse sensitivity of each minimum pruning unit under different sparseness, and generating a sparse sensitivity matrix; according to the sparse sensitivity matrix, taking a minimum pruning unit as a unit, dividing the whole pruning process into a plurality of stages, and performing adaptive pruning on the neural network model stage by stage; and performing full-integer quantization on the neural network model after adaptive pruning.

The present application relates to the field of equipment maintenance support, and particularly discloses a multi-stage task equipment selective maintenance decision and task allocation joint optimization method. Step S1: statistics of task type, statistics of the number of each unit continuous execution tasks under the task type and the interval period between tasks; Step S2: providing maintenance measures within the interval period, statistics of the maintenance measures and the corresponding maintenance effect, and calculation of the state probability distribution after executing the maintenance measures; Step S3: calculation of the total maintenance cost within the interval period of all tasks; Step S4: since each stage task contains multiple subtasks, the total task demand of each type unit needs to be calculated according to the state and maintenance of each unit before the task starts; Step S5: allocation of tasks and meeting the demand of each stage task; Step S6: calculation of the task completion probability according to the task demand of each stage. The present application aims to solve the problem of independent optimization of equipment selective maintenance decision and task allocation under the previous multi-stage task.

The invention provides a distributed MIMO clutter echo simulation method based on GIS information, and the method comprises the steps: obtaining the GIS information of a geographic information system, and dividing a surface scatterer irradiated by an MIMO radar into a plurality of basic scattering units based on the GIS information; calculating slope distances, Doppler frequencies, terrain elevation values and land cover types of the plurality of basic scattering units to form a scene model element set; mapping a plurality of basic scattering units to a radar resolution unit by combining a backscattering coefficient empirical model and a resolution adaptive grid mapping method according to the scene model element set; dividing the radar resolution unit into a permanent scattering area and a dynamic scattering area according to GIS information; performing clutter statistical characteristic simulation processing on the permanent scattering region and the dynamic scattering region to obtain a clutter amplitude sequence; and performing echo analysis processing on the clutter amplitude sequence in a time-frequency domain to obtain clutter echo simulation data. And the simulation precision of clutter echo simulation data is integrally improved.

To provide an information processing system that evaluates communication, such as business negotiations, and to evaluate communication while considering the content of the communication.SOLUTION: An information processing system has: an acquisition unit that acquires voices uttered by a participant and the other participants participating in communication; a calculation unit that calculates an index indicating the state of utterance in the communication on the basis of the uttered voices; and an evaluation unit that evaluates the communication on the basis of a result of the communication and a result of comparison between the calculated index and an index to be a reference.SELECTED DRAWING: Figure 5

A plasma processing apparatus includes a mounting table, an acquisition unit, a calculation unit, and an elevation control unit. The mounting table mounts thereon a target object as a plasma processing target. The elevation mechanism vertically moves a focus ring surrounding the target object. The acquisition unit acquires state information indicating a measured state of the target object. The calculation unit calculates a height of the focus ring at which positional relation between an upper surface of the target object and an upper surface of the focus ring satisfies a predetermined distance based on the state of the target object that is indicated by the state information acquired by the acquisition unit. The elevation control unit controls the elevation mechanism to vertically move the focus ring to the height calculated by the calculation unit.

The invention discloses a maintainability modeling, distribution and prediction method based on reuse. The method comprises the following steps: establishing a hierarchical structure of a reuse carrier rocket; constructing a judgment matrix of the scheme layer; weight vectors of the criterion layer and the scheme layer are calculated, and consistency check of the judgment matrix is carried out; calculating a combined weight vector of each scheme in the scheme layer according to the weight vectors of the criterion layer and the scheme layer; obtaining the maintenance degree of each scheme in the scheme layer according to the combined weight vector; determining maintainability prediction parameters and a reference unit; calculating the average repair time of the subsystems; calculating the average restoration time interval of the whole rocket and the uncertainty of the average restoration time of the whole rocket; and predicting a maintenance degree index of the target layer. The method solves the problems of lack of distribution data, difficult prediction process, difficult prediction result quantification and uncertainty and the like of the reusing carrier rocket maintainability index under the background of minimum subsamples.

The invention provides a gene module analysis method and device, equipment and a storage medium, and relates to the technical field of space transcriptomics. The method comprises the steps of obtaining space-time group chip expression data, performing linearization processing, and performing sliding window cutting to obtain a plurality of window units arranged according to a space sequence; calculating gene function activeness and constructing a matrix; clustering and grouping are carried out to obtain window groups; performing difference analysis screening on the window groups to obtain a difference expression gene set; and performing gene module analysis to obtain a functional gene module. According to the method, through an integrated processing flow of structure linearization, sliding window cutting, activeness quantification, clustering analysis and module identification, fine extraction and function reconstruction of spatial expression information in the curled tissue are realized under the condition that an additional algorithm or external data is not introduced; and the practicability and research value of the spatial omics data in a complex organization structure are improved.

The invention discloses a cooperative inspection task allocation method and device based on multi-vehicle state perception, and a storage medium. The method comprises the steps that a central cooperation unit calculates risk indexes of all inspection target nodes, and a priority index table is obtained; the central cooperation unit determines a target original parameter; the central cooperation unit constructs a target cost spectrum matrix; applying an operation constraint condition set to the target cost spectrum matrix, and executing constraint solution to obtain an initial scheduling scheme; each autonomous inspection unit constructs a composite return function; each autonomous inspection unit updates a preset strategy value function according to the composite return function to obtain a local strategy parameterization sequence; each autonomous inspection unit sends the local strategy parameterization sequence to a central cooperation unit to obtain a global strategy tuning parameter; and the central cooperation unit distributes the global strategy tuning parameter to each autonomous inspection unit, so that each autonomous inspection unit corrects the local strategy parameterization sequence and the composite return function of the autonomous inspection unit.

The invention provides an industrial multi-protocol heterogeneous real-time video collaborative analysis method. The method comprises the steps that a lightweight compiler is developed, an operator dependency graph analysis module is integrated, instruction-level parallelism of a neural network processing unit is predicted through a graph neural network, and optimization intermediate representation is dynamically generated; constructing a protocol classification graph neural network model, carrying out protocol type self-identification and streaming media metadata automatic extraction, and converting a heterogeneous video stream into a standardized frame sequence; designing a multi-agent reinforcement learning model, and generating an optimal scheduling strategy through offline simulation training by taking a neural network processing unit calculation unit utilization rate, a memory bandwidth occupancy rate and a task queue depth as state spaces; predicting a video key region by adopting a hybrid network, and performing resolution downsampling on a non-key region in combination with motion vector analysis; the hardware-level scheduling adopts time slice rotation preemptive scheduling, and time slices are dynamically distributed according to the priority of an algorithm.

The invention relates to the technical field of artificial intelligence chips, in particular to a runtime reconfigurable artificial intelligence chip, processing units, a calculation task execution method and electronic equipment, the chip comprises a controller and a plurality of processing units, the controller obtains a calculation task, analyzes the calculation task, and sends the calculation task to the processing units; obtaining a plurality of sub-calculation tasks and quantization bits corresponding to the sub-calculation tasks; the processing unit comprises an interception register, a first multiplier, a second multiplier, a shifter, an adder, a splicing register and a multiplexer and is used for processing a specified sub-calculation task, a quantization bit corresponding to the specified sub-calculation task is a specified quantization bit, the controller configures the quantization bit of the processing unit according to the specified quantization bit, and the processing unit is used for processing the specified sub-calculation task according to the quantization bit. Therefore, the runtime reconstruction of the artificial intelligence chip is realized.

The principal purpose of the present technology is to provide a signal processing device, a measurement device, and a signal processing method that involve a simple configuration but can still improve spatial resolution.　The present technology provides a signal processing device (100) that comprises a reception unit (1) that receives signals from objects (2: 21, 22), a reflection unit (3) that reflects the signals toward the objects or the reception unit, and a computation unit (4) that computes position information about the objects. The computation unit (4) computes the position information on the basis of the signals as received by the reception unit (1) and the positional relationship between the reception unit (1) and the reflection unit (3). The reflection unit (3) may selectively reflect the signals.

To enable appropriate error correction that suits an analysis task, an information processing apparatus (1) includes: an acquisition unit (11) that acquires target data; a calculation unit (12) that calculates, for respective ones of a plurality of errors included in the target data or for respective ones of attributes of the plurality of errors, corresponding degrees of influence that the respective ones of the plurality of errors exert on an evaluation index of a machine learning model; and a determination unit (13) that determines data to be corrected in the target data on the basis of the degrees of influence calculated by the calculation unit (12).

The present invention provides a communication path calculation device comprising a path calculation unit. The path calculation unit calculates candidates for communication paths formed from a main path and a redundant path proceeding from a multicast start node to each end node included in an end node set on the basis of physical topology information that represents the nodes that make up a network, edges representing links between nodes, and the failure rate of each edge, said candidates being calculated such that the main path and the redundant path proceeding to the same end node do not contain the same edges. For each of the multiple types of communication path candidates, the path calculation unit calculates an evaluation value representing the impact on a user due to an event in which an edge included in the main path and an edge included in the redundant path fail, and selects a communication path to use from among the plurality of candidates on the basis of the calculated evaluation value.

To provide an information processing apparatus capable of improving the efficiency of operation of a movable apparatus, an information processing apparatus comprises: a passing region calculation unit configured to calculate a passing region through which a movable apparatus passes; an object detection unit configured to detect an object around the movable apparatus by a sensor; and an object detection range setting unit configured to set an object detection range in which the object is detected by the object detection unit based on the passing region calculated by the passing region calculation unit.

The invention relates to a method for providing a virtual race engineer for a motor vehicle on a race track by means of a control unit comprising at least the following components: a communication unit; a detection unit; a processing unit; and a sound unit, wherein the method comprises at least the following steps: a. Determining whether the motor vehicle is located on a race track; b. Receiving environmental data of the race track by means of the communication unit; c. Acquiring vehicle data by means of the detection unit; d. Determining an information text based on the environmental data received in step b. and the vehicle data acquired in step c. by means of the processing unit; and e. Outputting the information text determined in step d. by means of the sound unit.It is a method for providing a virtual race engineer to a driver of a motor vehicle on a race track, which enables a safe, distraction-free drive.

A calculation unit calculates a first error for a boundary region of an image represented by image data, calculates a second error for a non-boundary region different from the boundary region, and calculates an error between label data and an estimation result based on the first error and the second error. And an influence of the first error on the calculation by the calculation unit is controlled to be smaller than an influence of the second error on the calculation by the calculation unit.