173 results about "Calculator" patented technology

A first large language model (LLM) instance may be instructed to request data while being prevented from performing calculations using the data. A second LLM instance may be instructed to provide a response to the request for data based on a known complete data set. The response may be translated into a machine-readable response in a format configured for processing by a calculation engine. The calculation engine may process the machine-readable response, thereby generating a calculation engine output. A mismatch between the calculation engine output and a known result obtained using the known complete data set may be identified, and the instruction to the first LLM may be modified in response.

A substrate temperature measuring device includes a sensor which senses a first amount of light of a first light having a first wavelength, a second amount of light of a second light having a second wavelength, and a third amount of light of a third light having a third wavelength provided from a substrate, a first calculator to calculate a first temperature for the first wavelength, a second temperature for the second wavelength, and a third temperature of the wavelength through the first amount of light, the second amount of light and the third amount of light which are sensed, and a second calculator to calculate emissivity of the substrate and reflected energy of the substrate through the first temperature, the second temperature, and the third temperature, wherein a temperature of the substrate is calculated through the calculated emissivity of the substrate and the reflected energy of the substrate.

A diagnostic device includes: a calculator that calculates a value related to a capacity of a battery cell based on a result of comparison between a measurement Q-V curve and a reference Q-V curve, the measurement Q-V curve indicating a relation between a voltage and an integrated current amount that are obtained from measurement data of the battery cell. The calculator further calculates at least one of: an amount of capacity deterioration caused by a voltage difference between the measurement Q-V curve and the reference Q-V curve by multiplying an inclination of the measurement Q-V curve by the voltage difference, and a temporary maximum capacity after capacity deterioration caused by a change in the inclination of the measurement Q-V curve to an inclination of the reference Q-V curve.

A minimum SOH calculator calculates a minimum SOH among SOHs of a plurality of cells or a plurality of cell blocks included in an assembled battery system based on battery data. A SOC difference calculator calculates an SOC difference based on a maximum SOC and a minimum SOC among SOCs of those cells or blocks and the minimum SOH of the assembled battery system, based on the battery data. A statistical processor performs steps of: extracting at least one change point from a sample group of SOC differences; calculating a regression model of the SOC difference for each of intervals divided by the change point; calculating a regression model of the minimum SOH using the sample group of minimum SOHs; and calculating a regression model of an SOH of the assembled battery system by combining the regression model of the minimum SOH and the interval-based the SOC difference.

This invention relates to the field of boiler energy consumption diagnosis technology, specifically to a gas-fired steam boiler energy consumption diagnosis system and method, comprising: collecting furnace flame radiation spectrum data and flue gas component concentration data from the exhaust pipe during the boiler operation cycle; calculating the flame flicker frequency by extracting frequency domain features from the flame radiation spectrum data using a combustion stability analyzer; calculating the exhaust heat loss value from the flue gas component concentration data using a heat loss calculator based on the excess air coefficient and flue gas specific heat capacity; synchronously transmitting the flame flicker frequency to the heat loss calculator to correct the exhaust temperature calculation deviation; the heat loss calculator outputs a boiler operating efficiency benchmark value, which is compared with a preset theoretical energy efficiency threshold to generate an energy efficiency deviation vector; using this vector to drive a fault tracing engine to traverse a multi-dimensional fault feature database, identifying suspected faulty components and their corresponding confidence scores. This invention enables accurate diagnosis and fault tracing of boiler energy consumption.

A communication analysis system includes: an information obtainer that obtains past communication information indicating communication performed by a monitoring target; a prediction target link extractor that extracts, based on the past communication information obtained, an unestablished communication link of communication that has not been established in the past communication information, the unestablished communication link being at least one communication link that is a prediction target; a link confidence level calculator that calculates a confidence level indicating the likelihood that the unestablished communication link extracted will be established as a normal communication link in the future; and a NW graph creator that creates a NW graph, in which the unestablished communication link and information regarding the unestablished communication link are mapped, as graph information for determining whether to add the communication link to a whitelist, using the unestablished communication link extracted, the confidence level calculated, and the past communication information obtained.

FIELD: computing technology.SUBSTANCE: invention can be used for hardware implementation of the evaluation of random number generators (RNG) based on repeating codes in the output sequence from the RNG. A random number generator quality analyser includes a shift register, a decoder, a comparison unit, a counter, a logarithm calculator, a divider, and a square root calculator, wherein the first input of the device is connected to the input of the shift register, the output of which is connected to the first input of the comparison unit, the second input of the device is connected to the input of the decoder, the output of which is connected to the second input of the comparison unit, the output of which is connected to the input of the counter, the output of which is connected to the input of the logarithm calculator and to the input of the divider, built on the basis of the CORDIC algorithm, the output of which is connected to the input of the square root calculator, the output of which is connected to the output of the device, wherein the output of the logarithm calculator is connected to the input of the divider.EFFECT: expanding the information field for assessing the quality of the RNG operation during hardware implementation.2 cl, 5 dwg

1. Name of the designed product: calculator and handwriting board (837 straight board). 2. Use of the designed product: for calculator and handwriting board dual-purpose equipment. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

Disclosed are a display device, an operating method thereof, and an electronic device including the same. The display device includes: a sensor unit including first sensors and second sensors; and a sensor driver configured to control the sensor unit, wherein the sensor driver includes: a change rate calculator configured to calculate a first mutual capacitance of the sensor unit, and calculate a change rate corresponding to the first mutual capacitance; and a threshold calculator configured to generate a threshold by applying the change rate to a reference threshold.

1. Name of the designed product: calculator (2228). 2. Use of the designed product: for mathematical operation. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

A method and apparatus for determining an inactive time of a medical liquid dose calculator are provided. According to the method, an infusion error of a medical liquid infusion device may be detected, and an inactive time of the medical liquid dose calculator may be determined in response to detection of the infusion error.

1. Name of the designed product: calculator (350-1). 2. Use of the designed product: the designed product is used as a calculator. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: design 1 perspective view. 5. Design 1 is designated as the basic design.

The utility model relates to engineering detection technical field, discloses a kind of quick detection device of dry density specifically, to solve the problems such as traditional detection method operation cumbersome, low efficiency, existing radiation risk. Device core includes standard container, weighing sensor, signal conditioning circuit, single-chip microcontroller, hardware proportioning calculator, stable judging module, display screen and ventilation / heating module. Through RFID, container volume V is automatically read, weighing sensor measures soil sample mass m, proportioning calculator calculates dry density ρ=m / V in real time, and the result is output through display screen;Ventilation / heating module accelerates moisture evaporation, shortens detection time. The device has the advantages of real-time display, simple operation, avoids artificial error, no radiation risk, and is suitable for fine-grained soil, coarse-grained soil and frozen soil detection dry density requirements, etc., and is suitable for water conservancy engineering, such as earth dam filling and embankment engineering, building engineering and other fields of soil compaction quality rapid detection.

A circuit health, efficiency and capacity (CHEC) monitor for use in an electrical power distribution system including a control panel connected to a 3-phase power source and a plurality of loads is provided. The CHEC monitor includes: a power parameters measurement component structured to measure power parameters of a power bus connected to the control panel; a metrics value calculator structured to receive the measured power parameters and determine metric values of a plurality of metrics over first periodic intervals; a metrics average calculator structured to obtain an average for each metric value over a second periodic interval; a metrics normalizer structured to normalize the average for each metric value and obtain a normalized metric index for each metric; a CHEC Index selector structured to select a maximum metric index from the normalized metric indexes; and a CHEC Index indicator structured to provide a latest CHEC Index.

Tension control system for a fastener in an assembly and associated control method. The present invention relates to a tension control system (10) for a fastener (12) in an assembly (36), said fastener (12) comprising a rod (14) and an assembly member (16), the control system (10) comprising: - a first measuring device (44), the first measuring device (44) being adapted to measure a first parameter representative of the time response of the rod (14) to an ultrasonic excitation, - a second measuring device (46) adapted to measure a second parameter representative of the frequency response of the rod (14) to an ultrasonic excitation, and - a calculator (48), the calculator (48) being adapted to determine a value of the tension of the rod (14) as a function of at least said first parameter and said second parameter. Figure for the abstract: Figure 1

This invention relates to the field of building construction technology, specifically to a device and method for rapidly measuring slope. The device includes a telescopic pole, a horizontal distance infrared rangefinder, a slope bottom depth infrared rangefinder, a data collection and slope calculator, an infrared baffle, and bearings. The telescopic pole is placed horizontally, with the horizontal distance infrared rangefinder fixed horizontally to the top surface of the first section of the telescopic pole. The infrared baffle is positioned at the outer end of the last section of the telescopic pole. The slope bottom depth infrared rangefinder is installed at the outer end of the last section of the telescopic pole and is suspended from the last section via bearings. The slope bottom depth infrared rangefinder and the infrared baffle are on the same vertical plane. The device can automatically calculate measurement data, saving labor and time; it reduces the need for personnel to ascend and descend slopes, reducing the number of surveying personnel and improving work efficiency; and it provides one-time measurement data, reducing data errors and ensuring construction quality.

A signal processing apparatus includes: a data input unit to which image data is input; an output unit configured to output an output value based on the data input to the data input unit; an expectation feedback calculator configured to calculate a difference between an expectation based on the input data and the output value; and a Bayesian estimator to which information on the difference and information based on the image data are input and which is configured to perform machine learning in order to approximate the output value to the expectation based on the input information and to search for an optimum configuration.

This invention discloses an RCS control method and apparatus based on a 2-bit reconfigurable metasurface. In the field of radar detection technology, the invention first generates continuous switching states based on the incoming wave frequency and incident angle using a switching state prediction network. These states are then input into a pre-trained equivalent source prediction network to obtain the corresponding Huygens equivalent source. Next, a far-field calculator is used to solve for the controlled far-field radiated electric field, and the RCS reduction is calculated by comparing it with an uncontrolled reference electric field. This process is iterated until the RCS reduction satisfies a preset loss function, ultimately obtaining the switching configuration that optimizes the metasurface performance. This invention embeds the physical model into neural network training, achieving unsupervised end-to-end optimization. It directly uses RCS reduction as the optimization objective, eliminating the need for manual data labeling and significantly reducing data acquisition costs.

The objective of the proposed invention is to make it possible to mount the multifunctional mobile module onto the roof of any vehicle to turn it into an autonomous vehicle by providing all the functions of an autopilot system within a single module, ensuring the operability of the module within a wide range of ambient temperatures (−40° C. to +50° C.), as well as within a wide range of weather conditions (rain, downpour, snow) by means of a thermal management system (TMS) and sensor cleaning systems that are integrated into the body of the module.The multifunctional mobile module for automatic vehicle control comprises an underframe made of a metal profile and equipped with metal brackets that hold screw-connected sensors (cameras, a lidar, an inertial navigation system, a Global Navigation Satellite System (GNSS) receiver), equipment (calculators, fans, heaters, network switches, a peripherals controller, GSM (Global System for Mobile Communications) antennas, sensor cleaning system components), and an outer plating that is also mounted onto the underframe.

This invention discloses an active damping control structure and method for a DC transformer and a DC distribution network, belonging to the field of DC transformer control technology. In the control structure: a summation module sums the input voltages of M sub-modules to obtain voltage v. bus The filter module filters out voltage v bus The AC component in the equation yields the DC voltage v. DC The averaging module calculates the voltage v respectively. bus and DC voltage v DC Divide by M to obtain the reference value v avg and reference value v DCref The input voltage equalization controller realizes the input voltage v of each submodule j. in_j Compared with reference value v avg Zero steady-state error regulation, output power p ivs_j The input voltage regulator controller implements the input voltage v of each submodule j. in_j Compared with reference value v DCref Zero steady-state error regulation, output power p ivr_j The output voltage regulator achieves the output voltage V. o Compared with reference value V oref Zero steady-state error regulation, output power regulation p ove The actual power calculator calculates the actual power of each submodule j using the instruction p. pu_j The control structure and method of this invention ensure stable operation of the transformer.

According to one embodiment, an electronic circuitry includes: a timing detector configured to detect a voltage generated in a parasitic inductance of a switching element, the driving of the switching element being controlled in accordance with a control signal and to detect a first timing at which the voltage becomes lower or higher than a predetermined value, and a second timing, occurring after the first timing, at which the voltage becomes higher or lower than the predetermined value; and a calculator configured to calculate a slew rate of a current flowing through the switching element based on a current flowing through the switching element at the first timing and the second timing.

1. Name of the designed product: Calculator (desktop type-CD595). 2. Use of the designed product: Electronic calculator. 3. Design points of the designed product: In shape. 4. Picture or photo best indicating the design points: Perspective view 1.

This invention relates to the field of machine tool machining control technology, and discloses a multi-axis collaborative intelligent control and thermal error compensation system for horizontal machining centers. Temperature sensor arrays are deployed on the bed, column, and spindle box, with sensor nodes acting as graph nodes. A spatial topological adjacency matrix is ​​constructed based on the physical structure and connection relationships of the machine tool. Temperature time-series data and the adjacency matrix are input into a spatiotemporal graph convolutional network model. The graph convolutional layer captures the spatial thermal conduction characteristics of adjacent nodes, and the gated cyclic unit layer captures the temporal temperature change characteristics, outputting thermal deformation prediction vectors for each motion axis. A multi-axis interpolation calculator converts the prediction vectors into reverse displacement compensation values, which are then superimposed on the position commands of each axis for execution. This invention eliminates prediction lag caused by delays in the thermal conduction path, reduces spatial offset errors in multi-axis linkage trajectories, and improves position following stability.

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.

1. Name of the product in this design: Calculator (239). 2. Purpose of this design: For use in calculators. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a rural elderly mild cognitive impairment risk prediction and stratified nursing management auxiliary system and method, and belongs to the technical field of intelligent nursing and mobile health auxiliary screening. The system comprises an application path selection module, a data acquisition module, a data preprocessing module, a nursing evaluation and scale automatic scoring module, a risk prediction module, a risk stratification module, an explanation output module, a nursing suggestion generation module and a mobile terminal display module. Through the rapid screening version, simple variables are collected; through the standard evaluation version, GDS-15, IADL, PSQI, SSRS and other scale items are embedded and automatically scored; a pre-trained machine learning model is called to output MCI risk prediction probability, low, medium and high risks are divided, and corresponding reevaluation frequency and stratified nursing management suggestions are generated. The application can display the results through a webpage calculator or a WeChat applet, is used for primary screening assistance and risk communication, and does not replace clinical diagnosis.

The present invention consists of a digital, always-online computer system designed to optimize perioperative safety through the automated integration of clinical and laboratory parameters. Unlike conventional medical calculators, this system implements a reactive logic engine that simultaneously calculates glomerular filtration rate (CKD-EPI 2021) and scores multiple risk scales (Goldman, LEE, ASA, CHA2DS2-VASc, HAS-BLED) without duplicate data entry. The system includes a drug reconciliation algorithm that cross-references the bleeding risk of the surgical procedure with the patient's renal function, generating accurate recommendations for discontinuing or continuing high-risk medications (anticoagulants, antiplatelet agents, SGLT2 inhibitors) based on current clinical evidence.

1. Name of the product in this design: Cooking graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. The product carrier is a conventional design, and the rear view, left view, right view, top view, and bottom view of each design are omitted. 6. Design 2 is designated as the basic design. 7. Purpose of the graphical user interface: for controlling and setting cooking equipment. 8. Human-computer interaction method of graphical user interface: Click the "Grinding Calculator" icon in the main view of Design 1 to enter the grinding calculation tool interface in the Design 1 change state diagram 1. In this interface, click the settings box below "Grinding" to enter the Design 1 change state diagram 2. The interface displays a list of all grinding machine models. After selecting any grinder model from the list, click "Done" in the upper right corner of the interface to enter Design 1 (Change State 3). In this interface, click the "Use XX method for XX grinding" brewing mode setting box to enter Design 1 (Change State 4). A brewing mode selection menu will pop up above the box. Select any brewing mode from this menu and then click the grinding mode setting box to enter Design 1 (Change State 5). A grinding mode selection menu will pop up again. Select any grinding mode from this menu and then press and hold the circle outside "Number of Rotations" to adjust the grinding rotation number to enter Design 1 (Change State 6). In this interface, click the parameter setting below "Grit Size" to enter Design 1 (Change State 6). In the change state diagram 7, a particle size setting input keyboard pops up below the box. After setting the particle size parameters using this keyboard, click the selection input box below "Grinding Degree" to enter the design 1 change state diagram 8. A grinding degree selection menu pops up above the box. Select any grinding degree from the list and click the "View" icon on the right to enter the design 1 change state diagram 9. A view selection list pops up below the icon box to select the view mode. After completing the relevant settings, click the settings icon (three small dots icon) in the upper right corner of the interface to enter the design 1 change state diagram 10 tool settings interface. In this interface, click "Device Center" to enter the design 1 change state diagram 11 connecting electronic devices. In the main view of Design 2, click the "Grinding Machine Management" icon to enter the grinding machine creation interface (Figure 1 of Design 2). In this interface, click the drop-down menu to the right of "All Grinding Machines" to enter Figure 2 of Design 2. In this menu, click "Create New Grinding Machine" to enter the grinding machine tool interface (Figure 3 of Design 2). The top of the interface displays the grinding disc icon, and the bottom displays the grinding data list. In this interface, click the drop-down arrow icon to the right of the new grinding machine at the top to enter Figure 4 of Design 2. A drop-down selection menu will pop up; click "Reminder Configuration" in this menu to enter Figure 5 of Design 2. In this interface, click "Test Blade" to enter Figure 6 of Design 2. After completing the custom settings in this interface... Click "Done" in the upper right corner to enter the grinder tool interface (Figure 7, Design 2 Change State). In this interface, click the data input box below "Grit Size" to enter Figure 8, Design 2 Change State. A numeric input keyboard will pop up; use this keyboard to input and set the grit size data. After completing the grit size input settings, click the data input box below "Grit Size" to enter Figure 9, Design 2 Change State. A numeric input keyboard will pop up; use this keyboard to input and set the grit size data. After completing the grit size input settings, click the toggle icon (racetrack-shaped icon) below the grinder icon to enter Figure 10, Design 2 Change State. Click the settings icon (three small dots icon) in the upper right corner of the interface to enter the tool settings interface (Figure 11, Design 2 Change State). In the main view of Design 3, click the "Grinding Machine Management" icon to enter the grinding machine tool interface (Design 3 Change State Figure 1). The grinding disc icon is at the top of the interface, and the grinding data list is at the bottom. Click the drop-down menu icon to the right of "New Grinding Machine" to enter Design 3 Change State Figure 2. A drop-down selection menu will pop up. Click "Reminder Configuration" in the menu to enter Design 3 Change State Figure 3. Click "Test Blade" in the menu to enter Design 3 Change State Figure 4. After completing the relevant settings in this interface, click "Finish" in the upper right corner to enter the grinding machine tool interface (Design 3 Change State Figure 5). Click the input box below "Grit Size" to enter Design 3 Change State Figure 6. A data input keyboard will pop up. After entering the grit size data using this keyboard, click the data input box below "Grit Size" to enter Design 3 Change State Figure 7. A data input keyboard will pop up. After entering the grit size data using this keyboard, click the switch icon (racetrack-shaped icon) below the grinding disc icon to enter Design 3 Change State Figure 8. Click the settings icon (three small dots icon) in the upper right corner of the interface to enter the tool settings interface (Design 3 Change State Figure 9).

A hydrogen filling apparatus includes a measurer configured to measure a filling amount of hydrogen gas filled in a fuel tank, using a flowmeter, an acquirer configured to acquire information of a pressure and a temperature of the fuel tank, a filling amount calculator configured to calculate a corrected capacity of the fuel tank using an expansion rate of the fuel tank and a pressure ratio which is the acquired pressure relative to a standard pressure of the fuel tank, and to calculate the filling amount of the hydrogen gas filled from the measurer into the fuel tank based on the acquired pressure and temperature and the corrected capacity of the fuel tank, and a determiner structured to determine presence or absence of a failure of the flowmeter using an error value between the filling amount measured using the flowmeter and the calculated filling amount.

The invention relates to an audio effect selection device (210) for processing an audio signal, comprising: - a memory (212) arranged to store datasets, each associated with a respective audio ambience, each dataset comprising a vector of reference values, each corresponding to a respective audio component, a vector of weighting coefficients, each corresponding to a respective audio component, and audio effects; and - a calculator (214) arranged to receive a vector of values ​​associated with an audio file, each value corresponding to a respective audio component, to calculate a respective distance between said audio file and each audio ambience, and to select, as audio effects to be applied to an audio signal from said audio file, the audio effects from the dataset associated with the audio ambience for which the distance is the smallest. [Fig. 2]