64 results about "Digital computer" patented technology

The invention relates to the technical field of industrial information and data processing, in particular to a cutting fluid multi-parameter self-adaptive monitoring and early warning method and system based on a dynamic threshold value, and aims to obtain and standardize multi-modal data of a cutting fluid in real time, construct a coupling attenuation prediction model in combination with processing working condition parameters, and predict a joint attenuation trend under a specific working condition. A cutting fluid performance time sequence is modeled through a Gaussian process, a confidence interval boundary is dynamically adjusted, and a self-adaptive single parameter dynamic threshold value is calculated. And a Copula function is used to learn a non-linear dependence structure among multiple parameters, a combined overrun risk is identified, and a multi-parameter combination threshold value is dynamically adjusted according to a preset rule. The system monitors data in real time and triggers early warning when abnormity is found, a digital computer is used for intelligent decision support processing, a maintenance knowledge base and a process optimization rule are combined, and accurate maintenance suggestions are generated. In addition, the edge intelligent unit ensures the independent operation capability of the system when the communication is interrupted.

The invention discloses a hierarchical coordinate flipping coding method, device and system based on constellation joint shaping, and the method comprises the steps: carrying out the probability shaping of an original pseudo-random binary sequence, and generating a binary sequence with non-uniform probability distribution; performing serial-parallel conversion on the binary sequence with non-uniform probability distribution, and mapping the binary sequence to a pre-generated three-dimensional constellation; the method comprises the following steps: generating four different chaotic sequences by using a secret key and a four-dimensional multiphase hyperchaotic system, encrypting subcarriers and symbols by using two of the chaotic sequences, combining the other two of the chaotic sequences into a new chaotic sequence, and performing coordinate flipping on constellation points on a three-dimensional constellation by using the new chaotic sequence to obtain a three-dimensional constellation. And completing constellation point encryption. According to the invention, the security of the communication system can be ensured, and the damage to the transmission performance can be effectively reduced.

Systems and methods may include a quantum computer to train an AI model. A qubit computer-readable medium may store instructions that are run on the quantum computer to perform the method herein. The method may include the quantum computer: receiving data; agglomerating the data as a dataset; and storing the dataset as a set of qubits in superposition states. The method may include the quantum computer: initiating training of an AI algorithm to create the AI model; transition the set of qubits from the superposition states into a dataset in a binary state; protecting the dataset in the binary state with a cryptographic key; and providing the dataset to a GPU to run the GPU using the dataset to train the AI algorithm to create the AI model. The quantum computer may create the AI model at a higher rate than a digital computer creates the AI model.

A method for solving an optimization problem inputted by a user may include: (a) using an interface of a digital computer to receive an indication of (i) said optimization problem, (ii) one or more optimization problem specifications of a plurality of optimization problem specifications, (iii) at least one generation method and at least one evaluation method, (iv) one or more algorithms of a plurality of algorithms, wherein said one or more algorithms is configured to solve said optimization problem subject to at least said one or more optimization problem specifications using said at least one generation method and said at least one evaluation method, and (v) one or more computational platforms of a plurality of computational platforms, wherein said one or more computational platforms is configured to execute said one or more algorithms; (b) using said one or more computational platforms to execute said one or more algorithms to yield a solution to said optimization problem; and (c) providing said solution to said optimization problem from said computational platform at said interface.

A Thermal Performance Forecast approach is described that can be used to forecast heating and cooling fuel consumption based on changes to user preferences and building-specific parameters that include indoor temperature, building insulation, HVAC system efficiency, and internal gains. A simplified version of the Thermal Performance Forecast approach, called the Approximated Thermal Performance Forecast, provides a single equation that accepts two fundamental input parameters and four ratios that express the relationship between the existing and post-change variables for the building properties to estimate future fuel consumption. The Approximated Thermal Performance Forecast approach marginally sacrifices accuracy for a simplified forecast. In addition, the thermal conductivity, effective window area, and thermal mass of a building can be determined using different combinations of utility consumption, outdoor temperature data, indoor temperature data, internal heating gains data, and HVAC system efficiency as inputs.

The invention relates to the technical field of digital computer combination processing, in particular to an edge computing node cooperative processing system based on load awareness, which comprises a task density construction module, a current sequence extraction module, a state transition identification module, a synchronous trigger generation module and a processing chain construction module. According to the method, task features are mapped to system load distribution in a task number construction and merging mode, dynamic features of task execution are extracted by combining a splicing and alignment mechanism of node current disturbance, and state transition boundaries are constructed according to current head and tail differences between tasks to identify key change points. The inter-node serial number consistency identification mechanism extracts synchronous trigger positions to ensure execution collaboration, an execution chain is constructed based on task sequence rearrangement and serial number binding, perception of task scheduling on node operation states and load changes is achieved, and the task identification precision, the execution time sequence management capability and the collaborative organization efficiency are improved.

Drone-Assisted Digital Computer Device for Structural Health Monitoring

A system and method for seasonal energy consumption determination using verified energy loads with the aid of a digital computer are provided. A digital computer is operated, including: obtaining energy loads for a building measured over a seasonal time period; obtaining outdoor temperatures for the building as measured over the seasonal time period; verifying stability of the energy loads, including: evaluating the energy loads over time; and identifying at least one of one or more discontinuities and one or more irregularities in the energy loads based on the evaluation. Operating the computer further includes: determining a baseload energy consumption using at least some of those of the energy loads; calculating seasonal fuel consumption rates and balance point temperatures; and disaggregating seasonal fuel consumption based on the baseload energy consumption, seasonal fuel consumption rates, balance point temperatures, and at least some of the outdoor temperatures into component loads of consumption.

The invention provides a WiFi network digital down-conversion system which comprises a multi-phase mixer and a resampling filter. The multi-phase mixer is used for converting a high-speed digital band-pass signal into a low-speed mode so as to realize digital down-conversion (DDC) on an FPGA (Field Programmable Gate Array) platform; and the resampling filter is used for reducing the sampling rate and removing unwanted frequency spectrum components to generate a complex baseband frequency spectrum. The multi-phase mixer PM of the present invention employs a parallel coordinate rotation digital computer (CORDIC) processor and a low pass filter array to reduce high speed data rates while minimizing resource utilization. The resampling filter comprises a cascade integral combination (CIC) filter and a multi-channel pulse finite impulse response (FIR) filter, optimal hardware cost is achieved, a floating point data type is converted into a fixed point data type, and resources are remarkably saved.

A system and method for determining a balance point of a building that has undergone or is about to undergo modifications (such as shell improvements) are provided. A balance point of the building before the modifications can be determined using empirical data. Total thermal conductivity of the building before and after the modifications is determined and compared. Indoor temperature of the building is obtained. The balance point temperature after the modifications can be determined using a result of the comparison, the temperature inside the building, and the pre-modification balance point temperature. Knowing post-modification balance point temperature allows power grid operators to take into account fuel consumption by that building when planning for power production and distribution. Knowing the post-improvement balance point temperature also provides owners of the building information on which they can base the decision whether to implement the improvements.

The application discloses a multiplexing measurement and control method and device of a three-axis micromechanical gyroscope, which comprises the following steps: firstly, a global clock is generated; in the working clock of any gyroscope, an alternating current driving signal, a feedback force signal, a preset reference phase signal and a reference displacement signal are outputted to the gyroscope by a coordinate rotation digital computer, and the gyroscope reaches a force balance state through a driving modal control loop and a detection modal control loop, and the angular velocity of the gyroscope is obtained; the three gyroscopes multiplex the same coordinate rotation digital computer in the respective working clock. The application combines time division multiplexing with a coordinate rotation digital computer algorithm, and can accurately and synchronously detect and close-loop control the three-axis micromechanical gyroscope in real time in limited field programmable logic gate array resources. The method and device can be widely applied to concurrent processing requirements of multi-axis or multi-path high-speed, high-precision and high-integration measurement and control instruments.

A system and method for forming a micro-object density distribution (how densely micro-objects are assembled in a particular spatial region) are provided. [Solution] A high-speed camera tracks the existing object density distribution. An array of phototransistor-controlled electrodes is used to generate a dynamic potential energy terrain for manipulating objects with both DEP and EP forces, and a video projector is used to actuate the array. One or more computing devices are used to process images captured by the camera, estimate the existing density distribution of objects, receive a desired density distribution of micro-objects, define a model that describes the variation in micro-object density over time due to capacitance-based interactions, generate an array of electrode potentials that minimizes the error between the existing density distribution and the desired density distribution, and use the array of electrode potentials to actuate the electrodes.

A method for improving the production efficiency of a digital printing linkage line comprises the following steps that 1, in a client side, the carton size and a pdf printing file are input, and an order is submitted; 2, the server receives the order and gives a URL (Uniform Resource Locator) of the pdf; 3, printing a production work order, wherein a two-dimensional code on the work order comprises order information; 4, the digital printing linkage line is composed of a digital printer, a front edge paper feeder and a grooving machine; the digital computer is interconnected with the PLC, the leading edge PLC and the grooving machine PLC through a local area network, 5, the digital computer scans a code work order and sends order information to each PLC module on the local area network; each PLC module receives the order information and automatically calls the order; the digital computer automatically downloads the pdf and carries out sharpening processing; and 6, production can be carried out after order adjustment of each module is finished. Paper feeding is started, and paper feeding, printing and grooving procedures of paper sheets are completed at a time through the linkage line; a worker only needs to scan the code once during carton production, parameters do not need to be input manually, and the production speed is increased.

A machine tool includes a base frame, a work spindle for receiving a tool, and a swivelling bridge for receiving a workpiece, wherein the swivelling bridge is configured such that it can swivel about a swivel axis, and wherein the swivelling bridge is received such that it can swivel on a first swivel bearing and a second swivel bearing. A workpiece holder for directly or indirectly receiving the workpiece is provided on the swivelling bridge, wherein the workpiece holder is arranged between the first swivel bearing and the second swiven bearing. The movements of the machine tool are controlled by a digital computer. A deflection compensation device for compensating for tilting of the workpiece due to deflection of the swivelling bridge is provided on the swivelling bridge.

Scalable computer architectural frameworks for quantum computers or for classical digital computers. According to one implementation, the framework includes a plurality of processing nodes, each processing node including at least three processing elements, and a plurality of couplings. The processing elements in a processing node (11) are connected in series forming a string comprising two end processing elements and at least one intermediate processing element. Each processing node is connected to each of the other processing nodes by means of only one external coupling. The intermediate processing elements are connected to processing elements of other processing nodes by the same number of external couplings, and the end processing elements are connected to processing elements of other processing nodes by the same number of external couplings or one more.

System and method for inferring photovoltaic (PV) system specifications are described. A consumer PV system's location and net load data recorded through net metering are retrieved. For each discrete period, a time of peak PV production and a magnitude of minimum net load for a representative day are found, and base loads are estimated. Plane-of-array irradiance (POAI) using clear sky global horizontal irradiance for azimuth and tilt combinations is produced. Azimuth, tilt, and system rating combinations based on the magnitude of minimum net load and the base load over each discrete period are created. A lowest error metric among the azimuth, tilt and system rating combinations is found, by finding the minimum of the combined residual errors in the time of peak PV production and the time of maximum POAI and residual errors in the magnitude of minimum net load plus the base load and magnitude of maximum POAI.

A photovoltaic system's configuration specification can be inferred by an evaluative process that searches through a space of candidate values for the variables in the specification. Each variable is selected in a specific ordering that narrows the field of candidate values. A constant horizon is assumed to account for diffuse irradiance insensitive to specific obstruction locations relative to the photovoltaic system's geographic location. Initial values for the azimuth angle, constant horizon obstruction elevation angle, and tilt angle are determined, followed by final values for these variables. The effects of direct obstructions that block direct irradiance in the areas where the actual horizon and the range of sun path values overlap relative to the geographic location are evaluated to find the exact obstruction elevation angle over a range of azimuth bins or directions. The photovoltaic temperature response coefficient and the inverter rating or power curve of the photovoltaic system are determined.

A Thermal Performance Forecast approach is described that can be used to forecast heating and cooling fuel consumption based on changes to user preferences and building-specific parameters that include indoor temperature, building insulation, HVAC system efficiency, and internal gains. A simplified version of the Thermal Performance Forecast approach, called the Approximated Thermal Performance Forecast, provides a single equation that accepts two fundamental input parameters and four ratios that express the relationship between the existing and post-change variables for the building properties to estimate future fuel consumption. The Approximated Thermal Performance Forecast approach marginally sacrifices accuracy for a simplified forecast. In addition, the thermal conductivity, effective window area, and thermal mass of a building can be determined using different combinations of utility consumption, outdoor temperature data, indoor temperature data, internal heating gains data, and HVAC system efficiency as inputs.

The platform is provided with security, verifiability, and computational speed necessary to implement transactions involving derivatives of private equity assets. All relevant data necessary for the performance of the transactions is converted into machine-readable digital identities. References to location within the storages of the digital identities are included in a derivatives archetype associated with one derivative instrument. Price of the derivative instrument can similarly be determined using a pricing archetype that includes machine-readable references to the digital identities of data items as well as the formula necessary for the determination of the price. The processors in the platform can be combined to work in parallel in a variety of infrastructures. The methodology implemented by the platform allows to identify derivatives underlyings in the private market space, make projections for their potential future payments, dissect the types of risks associated with the potential future payments and offer various derivatives archetypes.

A device includes a Coordinate Rotation Digital Computer (CORDIC), a memory, a first Direct Memory Access (DMA) engine, and a second DMA engine. The memory stores an array of calculation data sets and an array of result data sets corresponding to the calculation data sets. The first DMA engine copies each data set of the array of calculation data sets from the memory to the CORDIC. The second DMA engine copies each result data set of the array of result data sets from the CORDIC to the memory and generates a trigger in response to copying a final result data set of the array of result data sets to the memory.

The invention relates to the technical field of medical monitoring equipment, in particular to a cardiac pacemaker pocket pressure intelligent remote monitoring device which comprises a fixing device, the fixing device is a treatment type pressurization vest, and the treatment type pressurization vest is made of medical hypoallergenic pinhole breathable diving materials and is integrally formed through a digital computer knitting technology; the treatment type pressurizing vest body is provided with a double-layer elastic breathable knitted net bag structure, the joints of the vest body are provided with adjustable three-point buckles made of medical-grade ABS materials, the inner-layer net bag is used for fixing the pressurizing device, and the edge of the inner-layer net bag is provided with an anti-skid elastic band. According to the heart pacemaker bag pressure intelligent remote monitoring device, a non-target area is prevented from being pressed by matching the shape of a medical high-strength TPU air bag with a skin projection area outside a pacemaker bag body, and air backflow and leakage can be effectively prevented by matching with a pressure one-way valve and a rotary buckle type IP67-level sealing pipeline which are arranged in a handheld inflation ball; and the set pressure is stably kept.

Disclosed is a method for generating synthesized data by a digital computer, the digital computer being configured to receive first data sets and to generate second synthesized data sets based on the first data sets by executing a data synthesis algorithm, wherein the data synthesis algorithm is configured to receive random numbers as input, the method comprising: communicatively coupling a quantum random number generator to the digital computer; executing a transform algorithm, the transform algorithm transforming quantum random numbers into pseudo-random numbers by using a pseudo-random number generator comprising the use of a hash function, and generating the second synthesized data sets by executing the data synthesis algorithm using the pseudo-random numbers and the first data sets as inputs.

A system for increasing the speed and reducing the time to obtain a required amount of data, from a secondary storage device, for a digital computer, based upon measures to improve the time efficiency of I / O request processing by improving the timing and sequence of transfers to improve the efficiency of mass storage devices.

In part, the disclosure relates to a method of carrier frequency estimation. The method includes selecting a first group of symbols from a constellation of a carrier signal, wherein the first group includes one or more subgroups of symbols from the constellation; estimating a carrier frequency or carrier frequency offset of the carrier signal by approximating the carrier frequency offset as Δf, whereinΔ⁢f=14⁢arg⁢max⁢<semantics definitionURL="">❘<annotation encoding="Mathematica">"\[LeftBracketingBar]"< / annotation>< / semantics>D⁢F⁢T⁡(cos⁡(θ)+j⁢ sin⁡(θ))<semantics definitionURL="">❘<annotation encoding="Mathematica">"\[RightBracketingBar]"< / annotation>< / semantics>;and determining cos(θ) and sin(θ) using a coordinate rotation digital computer (CORDIC) algorithm, wherein the CORDIC algorithm calculates rotation of a two-dimensional vector by θ using add and / or shift operations.

This invention relates to an unconditional data generation method and a hybrid computer system. In this hybrid computer system, a digital computer transforms the sampling problem of the unconditional data generation model (which can be mapped to an energy network type of optical quantum computer) into a problem of solving for the ground state of a quantum Hamiltonian. The optical quantum computer then solves for the quantum Hamiltonian to achieve rapid sampling. This invention solves for the low sampling efficiency of existing deep learning-based unconditional data generation models, thereby improving the sampling efficiency of unconditional data generation models.

The embodiment of the present application relates to a coordinate rotation digital computer circuit and a method thereof, a signal processing circuit and a chip, the coordinate rotation digital computer circuit comprising: an iterative operation module, the iterative operation module comprising: a horizontal coordinate operation unit, configured to obtain a (k+1)th horizontal coordinate x (k+1) according to a (k-1)th iteration operation obtained (k-1)th horizontal coordinate x (k) and (k-1)th vertical coordinate y (k) when k < n; obtain the (k+1)th horizontal coordinate x (k+1) according to the (k)th horizontal coordinate x (k) when k >= n; a vertical coordinate operation unit connected with the horizontal coordinate operation unit, configured to obtain a (k+1)th vertical coordinate y (k+1) according to the (k)th horizontal coordinate x (k) and the (k)th vertical coordinate y (k); a phase operation unit connected with the vertical coordinate operation unit, configured to obtain a (k+1)th phase phase (k+1) according to the (k-1)th iteration operation obtained (k-1)th phase phase (k) and the (k)th vertical coordinate y (k); and an output module connected with the iterative operation module, configured to output the (k+1)th phase phase (k+1) as a target phase of to-be-measured data when k = m.

The invention relates to a method for identifying a parallel connection of output channels in a power supply device, in which a neural network implemented in a first digital computer of a monitoring device is provided for identifying the parallel connection, in which various operating states are triggered in order to determine training data (UCh1 [0] UCh2 [1] UCh1 [2] UCh2 [3]... UCh1 [j-3] UCh2 [j-2] UCh1 [j-1] UCh2 [j]) for the neural network in the power supply device, the training data is transmitted to a further digital computer, by means of which the neural network is trained, and a voltage curve and / or a current curve associated with the training data is measured at the output channel. And wherein a trained, ready-to-use neural network is implemented into a first digital computer of the monitoring device and is used to identify parallel connections.

A device includes a Coordinate Rotation Digital Computer (CORDIC), a memory, a first Direct Memory Access (DMA) engine, and a second DMA engine. The memory stores an array of calculation data sets and an array of result data sets corresponding to the calculation data sets. The first DMA engine copies each data set of the array of calculation data sets from the memory to the CORDIC. The second DMA engine copies each result data set of the array of result data sets from the CORDIC to the memory and generates a trigger in response to copying a final result data set of the array of result data sets to the memory.

MOBILE DIGITAL COMPUTER DEVICE FOR ON-SITE CONCRETE SURFACE TESTING AND EVALUATION