83 results about "Cell Computing" patented technology

An abnormal irregularity cause identifying device includes a process data acquisition unit that reads, from a storage device storing process data, the pieces of process data, an abnormality determination unit that calculates an abnormality degree representing an extent of an irregularity of process data of the pieces of process data read by the process data acquisition unit, and a cause diagnosis unit that obtains accuracy of a cause of the irregularity based on a proportion of process data having the abnormality degree calculated by the abnormality determination unit satisfying a predetermined criterion to the plurality of types of pieces of process data, by using causal relation information defining a combination between the cause and the irregularity, which appears as an influence resulting from the cause, of each of the plurality of types of pieces of process data.

The application provides a window drift processing method and an optical line terminal, an optical network unit and a computer readable storage medium. The window drift processing method applied to the OLT comprises the following steps: in the case that a first burst signal corresponding to an ONU is received, first information is determined according to the first burst signal, the first information is used for representing a window drift condition of the first burst signal; a drift domain is constructed according to the first information and the first burst signal; a GTC frame is transmitted to the ONU, so that the ONU corrects the window drift condition of the first burst signal according to the GTC frame, and the GTC frame is filled with the drift domain. In the embodiment of the application, the deviation can be quickly and accurately corrected directly according to the GTC frame, so that the efficiency of correcting the window drift of the burst signal is improved, and the stability of the passive optical fiber network is improved.

To improve the usability of content when providing it. [Solution] The information processing device according to the present invention comprises an acquisition unit, a calculation unit, and a provision unit. The acquisition unit acquires information on a target article that is subject to evaluation of its social impact, and user information concerning users who have viewed the target article. The calculation unit calculates an impact score indicating the degree of social impact that the target article has, based on the information on the target article and the user information. The provision unit provides information on the impact score along with the information on the target article.

Included are: a training data acquiring unit that acquires training data created on the basis of operation-related data obtained from a machine device; a noise imparting unit that creates noise-imparted training data in which noise is imparted to the training data acquired by the training data acquiring unit; an outlier detecting unit that calculates an outlier score from the training data acquired by the training data acquiring unit and the noise-imparted training data created by the noise imparting unit; and a model learning unit that calculates a weighted loss function based on the outlier score calculated by the outlier detecting unit, and trains a machine learning model on the basis of the training data and the noise-imparted training data.

The application discloses a camera support visual detection method, device and equipment, and belongs to the technical field of image processing and machine vision. The method comprises the following steps: fixing the to-be-detected support on a platform with a positioning mark to complete posture initialization; projecting a coded sinusoidal fringe pattern on the surface of the support; synchronously collecting a deformed fringe image through a monocular camera; calculating an initial wrapped phase by using an edge calculation unit, and performing phase unwrapping by using a lightweight neural network to generate a depth map; extracting a three-dimensional point cloud of a key feature region from the depth map; registering the measured point cloud with a pre-stored CAD model to calculate a spatial error field; performing qualified judgment and defect classification according to the error field, and outputting a control signal and a detection report. The application combines monocular structured light and deep learning to realize high-precision and high-efficiency three-dimensional deformation detection of a low-reflectivity material support, and the system has low cost and strong robustness, and is suitable for online automatic quality detection of a high-speed production line.

A data processing device according to one embodiment of the present invention comprises: an input unit that receives, from a user who uses a service, an input relating to the situation at the time of use of the service; a calculation unit that calculates a requirement relating to provision of the service to the user on the basis of a result of the input to the input unit and information stored in a storage device that stores information indicating the relationship between the situation at the time of use of the service and the requirement relating to the provision of the service to the user; and a generation unit that generates a question prompting the user to provide an additional input relating to the situation at the time of use of the service when the requirement calculated by the calculation unit is not appropriate.

The invention relates to a mobile target with improved absolute position and orientation determination. The invention relates to a mobile target. The mobile target is configured to be arranged on a motion unit, which is arranged to move in an environment. The mobile target comprises a reflective element, an inertial measurement unit (IMU), a receiving unit configured to receive first position data on an actual absolute position of the mobile target transmitted by a geodetic instrument, a computing unit configured to continuously determine an actual relative position and orientation of the mobile target in the environment based on the IMU data, wherein the actual absolute position based on the first position data is used as a drift corrector, and a data and / or power interface configured to interact with a corresponding data and / or power interface of the motion unit for data and / or power transfer. Furthermore, a housing of the mobile target accommodates the reflective element, the IMU, the receiving unit, the computing unit, and the data and / or power interface.

This application discloses a computational system for implementing yield improvement tools. It extracts cell characteristics from a physical layout design for integrated circuits, determines the location of empty regions in the physical layout design, and applies electrical design rules for manufacturing integrated circuits to the extracted characteristics to identify cells in the physical layout design that will violate the electrical design rules. The computational system can select fill cells for empty regions based at least in part on the extracted characteristics of cells adjacent to empty regions and the electrical design rules, and insert the selected fill cells into the empty regions of the physical design layout. The computational system can perform a design rule checking operation that applies the electrical design rules to the physical design layout where the selected fill cells have been inserted.

This application provides a parity data calculation unit that simultaneously supports RAID5 and RAID6. The calculation unit includes an XOR calculator, an XOR cache, and an address interleaving unit. The XOR cache comprises M memory banks with a bit width of J. The address interleaving unit generates M memory bank addresses based on the XOR cache addresses and provides them to the M memory banks. The M memory banks then provide M*J data corresponding to a row of M data blocks. The M*J data originates from one XOR cache unit in RAID5 mode or two XOR cache units in RAID6 mode. The XOR calculator performs an XOR operation on the M*J data and user data to generate intermediate parity data P or a combination of intermediate parity data P and intermediate parity data Q. The XOR calculator determines the final parity data based on K cycles of XOR operations. This application enables a calculation unit that supports RAID5 and RAID6 parity data calculation, saving on hardware circuit modification costs.

This invention discloses a general-purpose data partitioning hardware accelerator, tightly coupled to a processor core, for partitioning an input dataset containing multiple data records into multiple output partitions. The accelerator includes a length-aware read and distribute module and multiple parallel processing engines. The length-aware read and distribute module reads the data stream and decoupled metadata stream in parallel, parses variable-length record boundaries in real time, and distributes records. The processing engines receive records, calculate partition keys using a variable-length key pipeline hash unit to determine the target partition, and use a length-aware write merging unit to merge multiple records pointing to the same partition on-chip into cache line-aligned data blocks before writing them to the storage system. Therefore, this invention natively supports variable-length data, improving system throughput and versatility in a tightly coupled environment.

In a machining device in which a first control axis is included in a first channel and a second control axis is included in a second channel, this numerical control device comprises: a relationship information acquisition unit that acquires relationship information indicating a dependency relationship between the first control axis and the second control axis; a state information acquisition unit that acquires state information indicating the state of the machining device; a compensation information acquisition unit that acquires first compensation information indicating a compensation amount for the position of the first control axis, based on the state information acquired by the state information acquisition unit;a compensation information calculation unit that calculates second compensation information, specifying a compensation amount for the position of the second control axis, based on the relationship information captured by the relationship information capture unit and the first compensation information captured by the compensation information capture unit; and a compensation unit that compensates the position of the second control axis based on the second compensation information calculated by the compensation information calculation unit.

This invention provides a multimodal agent perception memory and autonomous decision-making method and system, relating to the field of reinforcement learning technology. The method includes: dividing the exhaust membrane of a microfluidic system into regions to obtain multiple pore cluster units; calculating the filament connectivity based on the structural connectivity between each pore cluster unit; obtaining topological memory units corresponding to the operating stage based on the filament connectivity; sorting all topological memory units to obtain sorted topological memory units; calculating the average quality of neighbor detections based on the sorted topological memory units; generating a filament topological state vector based on the average quality of neighbor detections; obtaining updated action value data based on the filament topological state vector; and executing control operations based on the updated action value data. This invention improves the adaptive adjustment capability of microfluidic devices under complex operating conditions.

A parallel processor assigns data for use by one or more tasks to a shared memory or memories associated with a plurality of compute units. A scheduler or other controller within or otherwise associated with the parallel processor assigns threads or groups of threads, which utilize the assigned data, to compute units as appropriate. Compute units utilize two sets of instructions, one specifying upper bits and one specifying lower bits of a memory address, to specify memory addresses that are larger than a number of bits an individual instruction can specify in a memory address field. Mode setting commands determine when and how lower bits in a memory address field of an instruction will be combined with upper bits in a previous instruction, e.g., through concatenation.

The present invention provides an information processing device that can generate 3D model data of a formwork molded object with a cut shape, in which a cut shape of an appropriate volume is added to the formwork molded object, which has a target shape. [Solution] The information processing device of the present disclosure includes an acquisition unit, a first generation unit, a calculation unit, a second generation unit, and a third generation unit. The acquisition unit acquires 3D model data of a formwork molded object and manufacturing information of a material extrusion method. The first generation unit generates 3D model data of a predicted molded object that is expected to be materialized by a material extrusion method based on the 3D model data of the formwork molded object. The calculation unit calculates information on the amount of change in the shape of the predicted molded object from the shape of the formwork molded object. The second generation unit calculates cutting shape information so that the volume of the cutting shape does not exceed a predetermined value. The third generation unit generates 3D model data of a formwork molded object with a cutting shape based on the 3D model data of the formwork molded object and the cutting shape information.

The application discloses a kind of multi-robot navigation reinforcement learning methods based on buffer Voronoi unit, it is related to multi-agent navigation technical field.Based on the current position information of robot, the corresponding Voronoi unit is constructed, and each boundary of Voronoi unit is translated inwardly by the distance of the physical radius of robot, to generate buffer Voronoi unit;The distance between the current navigation point and each adjacent robot navigation point is calculated;If there is distance less than the physical radius of robot, then the current navigation point is offset angle in counterclockwise direction along the boundary of Voronoi unit, to generate new navigation point;New navigation point is projected on the boundary of buffer Voronoi unit, to obtain the current target navigation point;According to the self-observation information and external observation information of robot, determine the observation space, generate the action of robot based on the observation space and the trained strategy network, and determine the linear velocity and angular velocity of robot in the next iteration round based on action.The method improves the success rate of robot obstacle avoidance.

The invention relates to a method for operating a heavy-duty scale (1) with a communication unit (2), a computer unit (3) for a good for filling into a container (4), characterized by the following steps: - the communication unit (2) establishes an empty initial state; - the communication unit (2) detects an initial weight increase of 1 second to 30 seconds on the heavy-duty scale (1) when the empty container (4) is placed on the scale; - the communication unit (2) and immediately triggers a tare adjustment (6) after the completion of the first weight increase (5) after 1 to 60 seconds, recording the tare weight (10) of the empty container (4); - based on the recorded tare weight (10) of the empty container (4), the computer unit (3) performs an actual / target comparison and determines from a stored container weight list the container (4) placed on the heavy-duty scale (1) for filling; - the communication unit (2) records the net weight of the goods in real time during the filling process; - the net weights (13) recorded in real time are sent to the computer unit (3); - the net weights (13) recorded in real time are transmitted by the computer unit (3) as regularly recorded net weights (9) to a cloud storage (7) for retrieval; - the computer unit (3) calculates a fill time end (8) based on the regularly recorded net weights (9); - the computer unit (3) transmits the regularly recorded net weights (9) and the calculated end of the filling time (8) to a cloud storage device (7); - the regularly recorded net weights (9) and the calculated end of the fill time (8) are available for retrieval on the cloud storage (7).

This invention relates to the field of big data technology and discloses an information security alarm system based on big data. The system comprises a data acquisition unit that collects multi-source security data in real time, a processing unit that generates standardized event data, an analysis unit that performs aggregation and statistics, a calculation unit that calculates a preliminary screening value SX, a central unit that analyzes the preliminary screening value SX and marks preliminary abnormal events, a learning unit that marks real abnormal events, an association unit that associates the standardized event data corresponding to the real abnormal events and matches attack patterns, and an early warning unit that displays the data on the platform. This invention standardizes the multi-source heterogeneous security data acquired by the acquisition unit through a processing unit, generating standardized event data in a unified format. This eliminates differences between different data sources in terms of data format, field definitions, and time precision, improving data consistency and usability, and providing unified data for subsequent analysis, calculation, learning, and association units.

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 relates to the technical field of radio frequency ablation needle temperature control, and discloses an intelligent temperature control system and method for multiple radio frequency ablation needles, a working unit controls the ablation needles to carry out radio frequency ablation work, and an acquisition unit is used for acquiring temperature data and position data when the ablation needles work; the central unit calculates the temperature difference SW and sends a carbonization instruction and a heat sink instruction, the control unit controls the working power of the ablation needle, the model unit establishes a three-dimensional temperature field, the matching unit calculates the matching degree of the three-dimensional temperature field, the adjusting unit adjusts the working frequency of the ablation needle, and the control unit controls the working power of the ablation needle. The temperature sensors are arranged at the tip end and the needle body respectively, so that the temperature of the ablation needle can be accurately detected, when the temperature difference SW is smaller than a low-temperature threshold value DY, the tissue is possibly carbonized, and when the temperature difference SW is larger than a high-temperature threshold value GY, the heat sink phenomenon is possibly generated, and therefore accurate judgment is conducted.

The application discloses a structured grid radiation simulation method based on optical path ordering, and belongs to the field of radiation transmission simulation. The method reads and analyzes a structured grid file, constructs a structured data set, discretizes a solid angle, calculates the projection value of the geometric center of all units on the unit vector of each discrete direction, sorts the units according to the projection value, and obtains the unit calculation sequence along the actual propagation path of the light. The radiation transfer equation in each unit is solved according to the sequence, the calculation result of the upstream unit is transmitted to the downstream unit through the connecting surface as the incident boundary condition, and the global input radiation is converged through iterative calculation. The application ensures that the calculation sequence is consistent with the real propagation path of the radiation energy by optical path physical ordering, eliminates the non-physical reverse radiation transmission, improves the calculation accuracy and convergence, and can directly process general engineering grid data, thereby being convenient for integrated application.

This invention discloses an intelligent warehouse management system based on integrated hardware and software, belonging to the field of warehouse management technology. Specifically, it includes: First, a node synchronization module deploys and synchronizes multiple mobile sensing nodes. A data acquisition module controls the movement of work units and collects time-stamped point cloud data, sending it to the sensing nodes. A coordinate alignment module sets the receiving node as the master node and converts the point cloud data to its coordinate system to generate a local map. A fragmentation and distribution module divides the map into geographical segments and distributes them to neighboring nodes. A collaborative fusion module receives feedback fragments from neighboring nodes, merges them, and generates a corrected local map. Finally, a path planning module calculates and sends updated paths for work units based on this map. This invention achieves decentralized real-time environmental perception and adaptive path planning in a dynamic warehouse environment, improving the system's robustness and operational continuity in complex and changing scenarios.

The application belongs to the technical field of power equipment fault diagnosis, and specifically discloses a power transmission line fault identification method and a direct current test instrument. The power transmission line fault identification method comprises the following steps: S1, obtaining fault signals and environmental temperature and humidity data of a to-be-tested line and performing pretreatment to obtain fault characteristic data; S2, inputting the fault characteristic data as test samples into a WOA-KFCM fault detection model, wherein the WOA-KFCM fault detection model comprises a WOA algorithm unit and a KFCM algorithm unit; and S3, calculating the initial clustering center of the KFCM algorithm unit through the WOA algorithm unit, and outputting the line fault category through the KFCM algorithm unit according to the initial clustering center and the test samples. Through the direct current test instrument and the above-mentioned fault identification program, the content of the power transmission line fault can be quickly identified, and the troubleshooting efficiency and the identification accuracy of the complex fault type of the power transmission line are effectively improved.

This invention relates to the field of electronic design verification technology and discloses an electronic product performance optimization system based on machine learning. The system includes: a netlist parsing module to acquire feature maps representing the spatial location and topological association of components, the feature maps containing circuit topology and thermal flux mesh data; a neural network module to generate parameters representing performance distribution, the neural network module consisting of an association weight transformation unit and a power-thermal flux balance constraint unit; the association weight transformation unit calculating the sum of power consumption components of the source nodes in the circuit topology map and mapping it to the target node cluster; and the power-thermal flux balance constraint unit comparing the sum of power consumption components with the sum of thermal flux components of the target node cluster. If the difference exceeds a threshold, the feature vector magnitude is corrected based on the thermal conductivity tensor. This invention incorporates physical conservation constraints, eliminates cross-domain mapping bias, and improves the robustness and convergence accuracy of multi-physics coupled simulations.

A wafer transfer device integrating a levelness monitoring system includes a wafer cassette carrier, a pick-and-place device, and a detection device. The pick-and-place device includes a pick-and-place module, a tray assembly, and a monitoring unit. The detection device includes an initialization setting unit, a data acquisition unit, a comparison unit, a calculation unit, and a result output unit. This wafer transfer device adds the detection device to an existing equipment platform, enabling the device to monitor the levelness of the first wafer to be picked up from the wafer cassette on the carrier in real time. If the levelness of the wafer is found to be insufficient, it is deemed unqualified, and an alarm is triggered, thereby preventing defective processing of subsequent wafers in the entire wafer cassette.

This evaluation device comprises a setup information acquisition unit that acquires setup information specifying the setup of a machining device with a first rotary axis; a program processing unit that acquires at least one first instruction block from a machining program; a calculation unit that, based on the setup information acquired by the setup information acquisition unit and the at least one first instruction block acquired by the program processing unit, calculates an index indicating the state of the machine tool or a change in the state; an evaluation unit that, based on the index calculated by the calculation unit, calculates an evaluation value for the operating efficiency of the machining device; and an output unit that outputs the evaluation value calculated by the evaluation unit.

This invention discloses an automatic review and management method and system for office documents based on text summarization algorithms, belonging to the field of semantic processing technology. The method includes the following steps: structurally parsing the office documents; screening review-focused elements and generating a candidate semantic fragment set through semantic parsing and merging operations; generating summary units, calculating their importance weights, and determining the review execution strategy accordingly; applying review rules to generate review results; and locally updating and regenerating abnormal summary units based on the results. This invention solves the pain points of low summary credibility and the inability of static rule bases to adapt to new problems. It achieves content traceability and fidelity, and realizes intelligent hierarchical and efficient allocation of review resources. It not only automatically produces highly credible summaries and detailed review reports, but also achieves simultaneous growth in processing accuracy and efficiency, providing standardized, evolvable, and reliable quality assurance for the processing of key office documents such as contracts and reports.

The present specification provides a sensor unit, computing device, system, and method for monitoring tire performance in a power efficient way. This system uses the sensor unit including a contact patch sensor and a microcontroller, a computing device, and a server to determine the tire wear and tire load of a tire. This method of monitoring tire load and tire wear improves over traditional methods by providing continuous monitoring in a power efficient operation.

An electronic device includes a second control unit configured to determine which of a movement distance of the electronic device and an angle of the electronic device is calculated according to a state of a power supply of the electronic device and a use state that is detected by a use state detector that detects a use state of the electronic device by a user, calculates the movement distance or the angle of the electronic device based on a detection result of the distance / angle detector, and controls the power supply of the electronic device according to the calculation result, and in a case in which the power supply of the electronic device is OFF, the second control unit calculates the angle of the electronic device, and in a case in which the power supply of the electronic device is ON, the second control unit calculates the movement distance in a case in which the use state detector does not detect a state in which the user is using the electronic device.