34 results about "Arithmetic processing unit" patented technology

An example computing device may include memory and one or more processors. The one or more processors are configured to determine a Cartesian grid in a space. The Cartesian grid may correspond to a precision of an arithmetic processing unit. The one or more processors are configured to, for each of a plurality of neural network weights, determine a respective vector in the space, such that each respective vector belongs to a corresponding predefined vector on the Cartesian grid and represents a respective compressed neural network weight of a plurality of compressed neural network weights. The one or more processors are configured to execute, based on the plurality of compressed network weights, a neural network. The one or more processors are configured to generate, based on executing the neural network, an output.

The present disclosure discloses a product recognition apparatus and method, in which the apparatus includes: a vision sensor configured to obtain and transmit image information of a product to an arithmetic processing unit; the arithmetic processing unit configured to deal the image information of the product based on an image recognition model, to obtain and transmit category information of the product to a data transceiver; and the data transceiver configured to transmit the category information of the product to a backend server of a seller, so that the backend server of the seller makes a settlement based on the category information of the product and preset price information of different categories of products. By adopting the product recognition apparatus, it is possible to quickly recognize the categories of various products, increase efficiency and accuracy of the cashing, and improve the user experiences.

This oil evaluation device is provided with a calculation processing unit that calculates, on the basis of a measurement result of the density of oil in an internal combustion engine, the proportion of soot mixed into the oil as an evaluation index.

To provide a CMP apparatus and a polishing method that can easily improve the accuracy of measuring the thickness of a polishing layer among a plurality of layers stacked on the surface of a wafer.SOLUTION: There is provided a CMP apparatus 1 for polishing a polishing layer W1 of a wafer W comprising the polishing layer W1 and at least one underlayer W2 located below the polishing layer. The CMP apparatus comprises: a database 30 including respective model waveforms of reflected light spectra for respective thicknesses of the polishing layer corresponding to respective thicknesses of the underlayer; a detection unit 120 for determining the thickness of the polishing layer on the basis of the database and a first reflected light spectrum detected during polishing of the wafer; and an arithmetic processing unit 130 for generating the database on the basis of information on materials of the polishing layer, information on materials of the underlayer, a first thickness range of the polishing layer, a second thickness range of the underlayer, and thickness intervals of the polishing layer and the underlayer.SELECTED DRAWING: Figure 1

To provide a target commodity authorization program and a target commodity authorization device which analyze commodity data of display shelves for usage by a company manufacturing products for consumers.SOLUTION: A target commodity authorization program is a program for allowing a computer including a storage medium and an arithmetic processing unit to operate each of the following steps. The steps include: an image data storage step of storing image data of shop shelves obtained by each photographing means in the storage medium; a shelf contents grasping step of grasping shelf steps of shelves, and commodities arranged on the shelf steps; and a ratio calculation step of specifying a previously set target commodity among the grasped commodities, grasping the number of commodities of the target commodity, and calculating a ratio of the target commodity among all commodities on the shelves for a previously set commodity category or each of sub-categories being subordinate categories of the category.SELECTED DRAWING: Figure 1

According to the present invention, a computation processing device for a calculation system that comprises memory, storage, and the computation processing device comprises a computation unit that reads each key of a set of data for secret-shared key-value pairs from the memory and the storage, uses a pseudo-random function to calculate a hash value for each key, calculates a substitution on the basis of the resulting series of hash values, uses the substitution to construct a hash table from the set of data as extracted from the memory and the storage, and uses secret sharing to store the hash table at the memory and the storage.

A tensor calculation device, a data processor, a tensor calculation method and a storage medium. The tensor calculation device comprises a receiving unit, a tensor processing unit and an arithmetic processing unit; the tensor processing unit is configured to perform a first tensor calculation on a first tensor to obtain a first intermediate tensor; the tensor processing unit is further configured to obtain a virtual tensor and perform a second tensor calculation on a second tensor according to the virtual tensor to obtain a second intermediate tensor, wherein the second intermediate tensor and the second tensor have the same shape, and the numerical values of the elements at all corresponding positions of the second intermediate tensor and the second tensor have the same preset proportional relationship; and the arithmetic processing unit is configured to perform arithmetic operation processing on the second intermediate tensor and the first intermediate tensor to obtain a result tensor. The tensor calculation device does not need to load data for performing the arithmetic operation, and there is no bandwidth competition phenomenon, thereby greatly improving the overall efficiency of the operator and effectively utilizing the powerful computing power of the tensor calculation device itself.

A counting scale includes a weighing pan, a weighing sensor connected to the weighing pan, a storage unit including a registered data table storing, as registered data, a unique identification number, an article name, and a unit weight with respect to one article, an arithmetic processing unit configured to urge placement of one piece of the target article on the weighing pan, calculate a unit weighed value of the one piece of the target article from the weighing sensor, narrow down registered data including a unit weight within a predetermined range with respect to the unit weighed value as candidate data from the registered data table, and obtain sorted candidate data by selecting and sorting the candidate data in ascending order of absolute value of deviation from the unit weighed value, and a display unit configured to display the sorted candidate data.

Monitoring the delta value, which is an indicator of directional risk, and buying and selling the Nikkei 225 mini when the delta value changes from 0 require constant monitoring and buying and selling by users, which places a heavy burden on users and makes it nearly impossible for individual investors in particular. [Solution] The option delta neutral automated system 3 calculates the delta value of an option based on stock price fluctuations and market price information acquired in real time from a market price information acquisition unit 31 connected to a market price information database 21 of a financial instruments trading device at a financial instruments business operator. When the delta value is not 0, an arithmetic processing unit 32 makes an automatic trading decision for the held futures in order to return the delta value to 0, and performs automatic trading processing for the held futures based on the decision of the arithmetic processing unit 32.

To provide an information processing apparatus, etc. capable of supporting construction of thermal environments in both a bedroom and a bed suitable for an individual user.SOLUTION: An information processing apparatus 100 includes a storage unit 130 and an arithmetic processing unit 120. The storage unit 130 stores attribute information including one or both of user's biological information and user's preference information about coldness and hotness. The arithmetic processing unit 120 specifies to which of a plurality of preset thermal sensation groups the thermal sensation of the user belongs, using user's attribute information stored in the storage unit 130, and determines a combination of a room temperature and warming performance of bedding and sleep wear while the user is sleeping according to the thermal sensation group that the user's thermal sensation belongs. The information processing apparatus 100 further includes an output unit 140 for outputting the combination of the room temperature and the warming performance of bedding and sleep wear while the user is sleeping.SELECTED DRAWING: Figure 1

SOLUTION: A computation apparatus comprises a plurality of memory banks and a computation processing unit that generates a result data sequence obtained by computation of a plurality of data sequences by repeating processes of reading the data sequence from a source memory bank among the plurality of memory banks, performing computation between the read data sequence and the next data sequence, and writing the data sequence obtained as a result of the computation into a destination memory bank among the plurality of memory banks while alternately switching the source memory bank and the destination memory bank.SELECTED DRAWING: Figure 4

According to one embodiment, the augmented reality presentation system comprises a haptic presentation unit which presents a haptic sensation to the specific part, a display unit, an information acquiring unit for acquiring spatial position information of the specific part, an information setting unit for setting haptic information corresponding to the haptic sensation presented to the specific part, and an arithmetic processing unit for generating a specific part image that simulates the specific part.

An embodiment is a computer including a plurality of accelerators, a computer for distributed processing includes a plurality of accelerators to each of which a part of a neural network is assigned and each of which is configured to derive a learning result based on input data and update each parameter value included in the part of the neural network by using the learning result; a plurality of network interface circuits each of which is configured to transmit and receive information on learning including the learning result via a network, and an arithmetic processing unit that is configured to control the plurality of accelerators and the plurality of network interface circuits to cause each of the plurality of accelerators to derive a learning result based on input data and to cause the plurality of network interface circuits to transmit and receive information on learning including the learning result.

Provided are a device and a method which are capable of autonomously extending and changing the control of even a control device differing in instruction format and protocol. The present technology includes, for example, an extension control device that can communicably connect to a device having a control device, the extension control device including an arithmetic processing device, a memory in which a predetermined control program is stored, and a sensor, wherein the arithmetic processing device is configured to transmit the predetermined control program to the control device in response to the reception of a predetermined signal from the sensor.

To provide a power supply device that, even when output voltage output from a power supply voltage generation unit is unstable, can stabilize the output voltage to an arithmetic processing unit after a transition to a power saving mode.SOLUTION: When the operation mode of an image forming apparatus is switched to a power saving mode, output voltage output from a power supply circuit to a main control unit is stepped down to have a voltage value obtained by subtracting a correction value based on a prescribed step-down correction value (first step-down correction value, or second step-down correction value) from a reference voltage V0.SELECTED DRAWING: Figure 2

To provide a semiconductor device which can improve arithmetic capacity such as AI learning and processing efficiency.SOLUTION: A flash memory 100 includes a NAND type or NOR type memory cell array 110, and an arithmetic processing unit 190. The arithmetic processing unit 190 includes a bit line current detection unit 200, a voltage holding unit 210 which holds voltage corresponding to detected current, an addition unit 220 which adds the voltage held in the voltage holding unit 210, and an A / D conversion unit 230 which performs A / D conversion on an addition result of the addition unit 220. The arithmetic processing unit 190 can calculate the sum of currents which flow through a bit line in a line direction and / or a column direction at reading of the memory cell array.SELECTED DRAWING: Figure 2

To appropriately manage the quality of a product when using a raw material having variations in characteristics or the like in many cases.SOLUTION: A control device 100 that operates an electrical device 120 constituting a manufacturing line of a product and acquires data from a measurement device 130 installed in the manufacturing line, the control device 100 including a controller unit 110 that operates the electrical device 120, an arithmetic processing unit 104 that has a function of calculating a parameter for controlling the electrical device 120 and outputting the parameter to the controller unit 110, a function of performing arithmetic processing on data acquired from at least one of the electrical device 120 and the measurement device 130, and a function of acquiring at least one of procurement information and storage information of a raw material of the product, 130 120, and a storage part 106 for storing an arithmetic processing result of the arithmetic processing part 104, wherein the arithmetic processing result is associated with at least one of the procurement information and the storage information.SELECTED DRAWING: Figure 1

To provide a transport temperature monitoring device and a transport temperature monitoring system which can predict the time at which temperature inside a transport container deviates from management temperature during transport or storage, and notify a user of the time in advance.SOLUTION: A transport temperature monitoring device which can be attached to or incorporated into a transport container comprises: one or more internal temperature sensors which measure at least the temperature inside the transport container; an internal temperature acquisition unit; an external temperature sensor which measures external temperature of the transport container; an external temperature acquisition unit; a control unit; a storage unit; a communication unit; and a display unit. The control unit comprises an arithmetic processing unit which calculates the time when the internal temperature deviates from management temperature based on the internal temperature and the external temperature. Moreover, the control unit may comprise a display control unit which integrates the internal temperature and the external temperature, and information such as the time at which the internal temperature deviates from the management temperature to generate and display a code image.SELECTED DRAWING: Figure 1

A control device (100) operates an electrical device (120) constituting a production line of a product and acquires data from a measurement device (130) installed on the production line, the control device comprising: a controller unit (110) that operates the electrical device (120); a computation processing unit (104) that includes a function for calculating a parameter for controlling the electrical device (120) and outputting the parameter to the controller unit (110), a function for computing data acquired from the electrical device (120) and / or the measurement device (130), and a function for acquiring procurement information and / or storage information for raw material for the product; and a storage unit (106) that stores the data acquired from the electrical device (120) and the measurement device (130), and the computation processing results of the computation processing unit (104). The computation processing results are associated with the procurement information and / or the storage information. Due to this configuration, it is possible to appropriately manage the quality of a product when using a raw material that often has variations in characteristics or the like.

An optical measurement device includes at least a multi-frequency laser configured to simultaneously generate a frequency-fixed carrier and at least one frequency-modulated subcarrier, an optical branching element, a dual frequency beat signal generator, a difference signal generator, and an arithmetic processing unit. Either the carrier or the subcarrier within the output light of the multi-frequency laser is used as first measurement light and either the carrier or the subcarrier having a frequency different from that of the first measurement light is used as second measurement light. The dual frequency beat signal generator separates and outputs a first complex beat signal derived from the first measurement light and a second complex beat signal derived from the second measurement light. The difference signal generator outputs a difference signal between the first complex beat signal and the second complex beat signal.

The invention provides a two-piece head-mounted system. The two-piece head-mounted system includes an arithmetic processing unit, a head-mounted unit, and a cable unit. The arithmetic processing unit and the head-mounted unit are connected to each other by a plurality of optical fiber cables in the cable unit. The two-piece head-mounted system includes a processor, a first conversion device, an image device, and a second conversion device. The processor is installed in the operation processing part. The first conversion device is configured to perform parallel-serial conversion and photoelectric conversion on a signal transmitted between the processor and the optical fiber cable. The image device is installed in the head-mounted part. The second conversion device is configured to perform parallel-serial conversion and photoelectric conversion on a signal transmitted between the image device and the optical fiber cable.

This system comprises an arithmetic processing unit for performing arithmetic processing, and a memory for storing data handled by the arithmetic processing unit. The system is provided with: a conversion circuit for executing, in hardware, conversion processing for converting the byte order of input data between big endian and little endian; and a table for storing access patterns corresponding to a transmission source and a reception destination of the input data. The conversion circuit determines the access pattern by referring to the table, and executes conversion into big endian or conversion into little endian according to the determined access pattern.

The invention provides a calculation device, a test device, a calculation method, and a calculation program. The arithmetic device includes a plurality of banks, and an arithmetic processing unit that performs a process of reading a data column from a source bank among the plurality of banks, performing an arithmetic between the data column and a next data column, and writing a data column obtained as a result of the arithmetic into a target bank among the plurality of banks. The processing is repeated while alternately exchanging the source bank and the target bank, thereby generating a result data column obtained by computing the plurality of data columns.

To provide an automatic molding machine of irregular-shaped ceramics such as a cup with a narrowed mouth and a plate with a polygonal rim.SOLUTION: An automatic molding machine of ceramics comprises: a trowel 11 provided rotatably in a horizontal direction; a plaster mold 12 provided rotatably in the horizontal direction at a lower part in a vertical direction of the trowel 11; a first movement mechanism using a first servo motor 13 for vertically moving the trowel 11; a second movement mechanism using a second servo motor 14 for longitudinally moving the trowel 11; a rotation mechanism using a third servo motor 15 for varying a tilt angle of the trowel 11 vertically in a front view and circumferentially in a side view; an input device; and a calculation processing device.SELECTED DRAWING: Figure 1

To reduce a circuit scale of a conflict determination unit that determines a conflict between an address included in a memory access instruction and an address held in a queue that holds the memory access instruction.SOLUTION: An arithmetic processor includes: a queue configured to hold a memory access instruction including one or more addresses; a contracted address generation unit configured to generate a contracted address by contracting bits of multiple addresses in a case where the memory access instruction includes the multiple addresses; a conflict determination unit configured to determine a conflict between the contracted address and the address held in the queue; and an access control unit configured to control processes of the memory access instruction held in the queue, based on a determination result of the conflict detection unit.SELECTED DRAWING: Figure 1

To provide a physical quantity measuring device with which durability can be improved.SOLUTION: A physical quantity measuring device 1 comprises: a physical quantity detector 11 for detecting the acceleration of a bridge girder BG and constituted to be capable of outputting a measurement signal corresponding to the measured acceleration; a measurement control unit 121 for controlling the measurement of acceleration by the physical quantity detector 11; a storage device 13 for storing measurement data based on the measurement signal; and a filter processing unit for mitigating the impact by an impacting factor that affects the measurement of acceleration by the physical quantity detector 11. The filter processing unit includes a mechanical filter unit 18 for mechanically mitigating the impact due to the impacting factor, and a digital arithmetic processing unit 122 for mitigating the impact due to the impacting factor by arithmetic operation.SELECTED DRAWING: Figure 2

To provide an arithmetic processing device capable of detecting whether or not arithmetic results in a middle stage of an execution unit including a plurality of stages can be bypassed, and when the arithmetic results can be bypassed, improving a processing performance of the arithmetic processing device by bypassing the arithmetic results.SOLUTION: An arithmetic processing device comprises: an instruction scheduler which issues an executable instruction; a register file which holds data employing an instruction; an execution unit including a plurality of stages sequentially executing the instructions issued by the instruction scheduler; a detection unit which detects an early termination where arithmetic results in a middle stage before the final stage become the same as arithmetic results by the execution unit among the plurality of stages; and a bypass control unit which transfers the data output from the register file or the arithmetic results from the execution unit to an input of the execution unit, and when the detection unit detects the early termination, transfers the arithmetic results in the middle stage to the input of the execution unit.SELECTED DRAWING: Figure 1

To adequately capture a probabilistic characteristic of a process behavior with a minimum requirement of an amount of information, and generate a learning model which is highly accurate, safe, and suitable for controlling a target process without instability due to missing data.SOLUTION: A learning model generation device that combines plural signals to generate a state transition probability matrix for a defined multidimensional state includes an arithmetic processing unit for: setting an initial value for a lower limit value, an upper limit value, and a division number for each dimension of the multidimensional state; calculating a learning data sufficiency rate, which is a total value of a transition probability to a state near a distribution center of a transition destination, and is defined as one or more pre-transition states within a predetermined distance from a target pre-transition state or a transition destination state with a maximum transition probability; and decreasing the division number when the calculated learning data sufficiency rate is below a defined range, and increasing the division number when the calculated learning data sufficiency rate exceeds the defined range.SELECTED DRAWING: Figure 2

To keep a range of a composite signal on which a signal for monitoring is superposed within a full-scale range of an analog input circuit while securing a dynamic range of an input signal even when a signal with comparatively large amplitude to be generated in occurrence of a failure of a power system, etc. is input.SOLUTION: In a protection relay, an analog input circuit 30 generates a plurality of analog composite signals by adding a signal for monitoring B to each of a plurality of analog input signals Ax (X=a, b, c, n), and generates a plurality of digital composite signals Cx by performing analog-digital conversion to each of the plurality of generated analog composite signals. An arithmetic processing unit 40 comprises a signal range determination unit 70 which stops output of the signal for monitoring B from a signal source for monitoring 58 when at least one of the plurality of digital composite signals Cx is not included in a limit range determined according to a full-scale range of the analog input circuit 30.SELECTED DRAWING: Figure 2

To provide an arithmetic processing device and a memory access method, which increase a speed of memory access.SOLUTION: A multi-core processor 10 includes a transfer IF 21 that refers to an attribute of a compression system for data on a main memory device 1 on data transfer between the main memory device 1 and a memory controller 2, and switches the compression system to execute the data transfer on the basis of the attribute to which reference is made. The attribute is a predetermined threshold value. The transfer IF switches the compression system on the basis of a comparison result between the predetermined threshold value and a value of a threshold register included in the memory controller 2.SELECTED DRAWING: Figure 4