44 results about "Digital computer" patented technology

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.

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.

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.

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.

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.

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.

1. The name of the design product: kitten digital computer keyboard. 2. The use of the design product: the design product is used as an auxiliary accessory for computer. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances that need to be explained: the overall appearance of the design is in the form of a kitten, including design features such as kitten ears and eyes.

A computer-implemented system for creation, matching, and trading of private-asset derivative instruments (synthetic or standard) for portfolio management and risk transfer is provided. The system include one or more databases organized into logical subdivisions associated with users of different qualifications, the databases storing digital identities representing private assets, private-asset derivative instruments and derivatives archetypes. Processors, which can be cloud-deployed, are configured to receive user preferences for risk, return, and exposure; determine user access rights; identify or create a derivatives archetype that satisfies those preferences; and generate or return a corresponding private-asset derivative instrument for portfolio management, risk transfer, or trading. Archetypes are associated through machine-readable references with digital identities of corresponding instruments or their underlyings. The processors may employ quantitative or machine-learning models to convert user preferences into statistical descriptors, select private-asset representatives, project cash flows, and match users on a trading platform for execution or restructuring of transactions.

To provide a system and method for machine-learning-based position estimation for use in microassembly control with the aid of a digital computer.SOLUTION: Control loop latency is taken into account in predicting positions of micro-objects being moved by using a hybrid model that includes both a physics-based model and machine-learning models. The models are fitted based on residuals calculated during a previous stage using gradient boosting and based on comparison with training data. A loss function for each stage is selected based on the model being created. The hybrid model is evaluated on data extrapolated and interpolated from the training data to prevent overfitting and to have a sufficient predictive ability. By including both the physics-based model and the machine-learning model, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-object.SELECTED DRAWING: Figure 1

The invention relates to the technical field of data processing, and discloses a processing method and system suitable for a digital computer ticket, and the method comprises the steps: carrying out the interaction with a user through an interaction module based on a betting playing method set, receiving a target betting playing method selected by the user, and determining a betting mode set based on the target betting playing method; using an interaction module to interact with the user based on the betting mode set, and receiving a target betting mode selected by the user; determining a target algorithm model based on the target betting mode; interacting with the user based on the target betting mode, and receiving a betting number selected by the user; and determining a betting result based on the target algorithm model and the betting number. Through full-process intelligent design and multi-technology fusion, core functions of data processing, interactive response, algorithm optimization, scene adaptation and the like are comprehensively improved, an efficient and complete digital computer ticket processing scheme is formed, and the problems that a traditional single betting mode is high in operation cost and lacks combination expansion capacity are solved.

A computer implemented method for solving a classical optimization problem of integer factorization implemented on a digital computer system is described. The method is implemented on a classical processor adapted to execute a time evolving block decimation algorithm. The method comprises in a first step an inputting a lattice basis and a target lattice vector to an input device of the classical processor followed by an implementing a lattice basis reduction algorithm on the lattice basis in an implementation module, thereby obtaining a reduced orthogonal lattice basis. The method further comprises a projecting the target lattice vector on the reduced orthogonal lattice basis followed by a building a closest vector to the target lattice vector and optimizing the closest vector using a tropical time-evolving block decimation algorithm by the classical processor and finally outputting an integer vector.

The application provides a digital pre-distorter for a power amplifier of a portable terminal, which is suitable for the case of amplifier load mismatch, comprising: a coordinate rotation digital computer module for extracting the phase and amplitude of a plurality of input signals; a coefficient selection module for extracting the amplitude of the input signal and the timely signal and selecting the amplitude within a predetermined threshold interval as a coefficient; an operation module for generating a plurality of non-linear base functions by using all the amplitudes, phases and coefficients; and a multiplication addition module for obtaining an output signal by using the plurality of non-linear base functions and the phase of a cross signal. The application selects the coefficient by comparing the input signal with the threshold value, establishes a modified double-input pre-distorter, considers not only the original input signal but also the reflected signal, and processes the cross term of the input signal and the reflected signal, so that the complexity can be significantly reduced while the modeling accuracy is maintained.

Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.

The invention relates to a method for communication between a human user and a digital AI-supported computer system, in which the system can generate suggestions, particularly regarding job offers and career paths, by recognizing data collected from a user. The system comprises video and audio sensors and communicates on the computer side via an AI-supported avatar.

This invention relates to a method for generating conditional data and a hybrid computer system. In this hybrid computer system, a digital computer transforms the sampling problem of the variables to be sampled in a conditional data generation model of an energy network type, which can be mapped to a quantum computer, into a problem of solving the Ising model. The quantum computer then solves the Ising model to achieve rapid sampling. This invention solves the technical problem of low sampling efficiency in existing deep learning-based conditional data generation models, thereby improving the sampling efficiency of conditional data generation models.

Gross energy load can be determined by combining periodic net load statistics, such as provided by a power utility or energy agency, with on-site power generation, such as photovoltaic power generation, as produced over the same time period. The gross energy load provides an indication upon which other types of energy investment choices can be evaluated. These choices can include traditional energy efficiencies, such as implementing electrical efficiency measures, which includes cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building. The choices can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.