6615 results about "Recording media" patented technology

Disclosed herein are a method, an apparatus and a storage medium for image encoding / decoding. In typical image encoding / decoding methods, a decoder-side motion information derivation method may be limitedly used. Therefore, the improvement of encoding efficiency attributable to the decoder-side motion information derivation method may also be limited. In embodiments, a motion information search method used in an inter-prediction mode, an intra block copy mode and an intra template matching prediction mode is disclosed. With the use of various motion search methods, encoding efficiency may be improved.

Disclosed herein are a method, an apparatus and a storage medium for image encoding / decoding. Methods for performing more accurate prediction are disclosed when performing prediction using a block vector. A block vector for a target block is derived by template matching, and a prediction block for the target block is determined based on the derived block vector. Various and detailed embodiments for a plurality of pieces of information used to derive a block vector, such as a search area, a block vector candidate list, a reference region, a buffer, and a tree type, are provided.

To reduce labor related to an update of an encryption key in response to an encryption request for the AI software specifying the third type key, encryption key leakage or the like.An information processing apparatus according to the present technology includes an encryption key creation part that creates an encryption key on a basis of a first type key stored in advance in an imaging apparatus, a second type key different from the first type key, and a third type key that is different from the first type key and the second type key and is a key multiplied with the second type key to create a combination key stored in the imaging apparatus, or is a key stored in the imaging apparatus together with the second type key, as an encryption key used by the imaging apparatus for encryption of artificial intelligence (AI) software including at least software of an artificial intelligence model, the imaging apparatus performing image recognition processing using the artificial intelligence model on a captured image obtained by capturing an image of a subject, the encryption key creation part creating, in response to specification of a key derived from new information different from original information as the third type key, a new encryption key based on the third type key derived from the new information, the first type key, and the second type key on a basis of the new information.

Provided are a feature encoding / decoding method and apparatus, and a computer-readable recording medium generated by the feature encoding method. The feature decoding method may comprise obtaining first information on a maximum number of internal layers allowed in a coded feature sequence (CFS) from a bitstream, obtaining second information on an identifier for each internal layer and third information on the number of channel layers of the internal layer from the bitstream, based on the first information, obtaining fourth information about an identifier for each channel layer from the bitstream based on the third information, and reconstructing the channel layer based on the fourth information.

The present disclosure relates to a method, device and computer program for cloud-authenticated pairing in a wireless communication system, and a recording medium therefor. A method for carrying out account-based pairing in a wireless communication system, according to one embodiment of the present disclosure, may comprise the steps in which: a seeker device acquires credential information of a provider device from a server; the seeker device acquires, from the provider device, an advertising packet comprising a hash value which is based on the credential information; and the seeker device establishes a connection with the provider device on the basis of the acquired credential information and the hash value which is based on the acquired credential information.

The disclosure discloses a printer comprising a take-up portion, a first memory, a consumed amount calculating portion, a first correcting portion, an operation signal input portion, and a second correcting portion. The take-up portion takes up a recording medium on which printing was performed by the printing head. The first memory stores a value related to a remaining amount or a consumed amount of the recording medium. The consumed amount calculating portion calculates a first consumed amount based on a fed amount by the feeder. The first correcting portion corrects the value stored in the first memory by the first consumed amount. The second correcting portion corrects the value r stored in the first memory by using a predetermined second consumed amount, triggered by input of the operation signal to the operation signal input portion.

A computer-readable recording medium having stored therein a fraud detection program causing a computer to execute a process including obtaining a result of object detection by inputting a target image group including a self-checkout-apparatus in an imaging range, into a model trained using a target image and an annotation, and performing fraud detection at the self-checkout-apparatus based on information about an item registered thereto and the result. The target image is identified by calculating statistical information of a position of a detection region of an object in each image in a first group based on positions by inputting the first group into the model, obtaining a position in each image in a second group using the model, and identifying the target image in which a region having an appearance probability equal to or less than a threshold is present, from the second group, based on the statistical information.

To make a meta model as a use destination meta model to be easily used by various systems with the meta model designed by certain system development as a reference source meta model.SOLUTION: A design support system updates a use destination data structure while making a reference source data structure unupdated when a use destination meta model uses a reference source meta model. Since the reference source data structure is made unupdated, the reference source meta model is maintained without changing a content even though the reference source meta model is used. Meanwhile, since the use destination data structure is updated, the use destination meta model can be created again with an updated content. For example, when the reference source meta model is upgraded, the updated use destination data structure can be applied to an upgraded reference source meta model.SELECTED DRAWING: Figure 18

The invention belongs to the technical field of power system operation and motors, and particularly relates to an energy storage type phase modifier control method which comprises the steps that a rotating shaft of a double-fed motor is connected with a flywheel to serve as an energy storage type phase modifier; the rotor winding is connected to a power grid through an excitation system and a transformer in sequence, and the excitation system is electrically connected by a reactor, a back-to-back converter and a filter in sequence; the stator winding is directly connected to a power grid; the control system decouples reactive power and active power, vector control is carried out on exciting current to absorb or release power, and reactive power-voltage support and active power-frequency support of the power grid are completed. The method overcomes the defects that a traditional direct-current excitation phase modulation mode can only modulate phase and cannot modulate frequency, or is cumbersome and slow in response. The system can meet the requirement of wide-range variable-speed operation, quickly store / release a large amount of rotor kinetic energy, inhibit the voltage and frequency fluctuation of a power grid, and is especially suitable for stations with high new energy occupation ratio. The invention also provides a non-transitory readable recording medium storing the program of the method and a system comprising the medium, and the program can be called through a processing circuit to execute the method.

An information processing device includes an obtaining section that obtains a detection signal from a sensor which is disposed in a seat of a movable body and which detects vibration transmitted to the seat from a passenger seated on the seat and an inferring section that infers a bleeding volume of the passenger on the basis of the detection signal obtained by the obtaining section.

The invention relates to the technical field of electronic recording carriers, in particular to an RFID electronic tag and a manufacturing method thereof. The method comprises the following steps that a small antenna packaged with a chip is attached to the attaching surface of bearing base cloth and fixed through dispensing, wherein non-imitation cloth of the bearing base cloth is composed of fabric; pressing the pressing cloth strip and the bearing base cloth through a roll-to-roll pressing process, so that the pressing cloth strip covers the electronic tag body and forms a clamping and fixing structure; arranging a plurality of electronic tag bodies on a base band in an array form, and conveying the electronic tag bodies to a roll-to-roll detection device to carry out functionality and consistency testing; after the test is completed, carrying out surface printing, laser code engraving and UV code printing on the electronic tag body; and obtaining target product information and writing the target product information into the RFID chip. According to the invention, efficient production of the RFID electronic tag is realized through a roll-to-roll pressing and fixing technology, so that the production efficiency is improved, and the tag identification performance and traceability are improved.

A computer acquires training data including first text, first class information indicating a class mapped to a single word contained in the first text, first position information indicating a position of the single word in the first text, and first range information indicating a range of a first named entity that includes the single word in the first text. The computer executes, based on the training data, machine learning of a machine learning model which is used to estimate, from text, class information, and position information, range information of a named entity included in the text.

To verify the identity and non-alteration of a document prepared in relation to a prescribed activity or operation by a qualified person in a certain site or organization in another site or organization.SOLUTION: A system according to claim 1, further comprising: a first device configured to execute a process of acquiring biometric information; and a second device configured to execute a process of performing biometric authentication using the biometric information and a process of determining whether or not a person authenticated as the principal is qualified to perform a predetermined activity or an operation, wherein the first device performs an authentication process on a document created in relation to the predetermined activity or the operation of the person determined to be qualified by the second device. The information processing apparatus further includes a third apparatus that further executes a process of creating a signature using the biometric information for signature of the individual and executes a process of registering the document and the signature created by the first apparatus in a first storage unit, and a fourth apparatus that executes a process of verifying correctness of a set of the document and the signature registered in the first storage unit of the third apparatus using a public key for verifying the signature.SELECTED DRAWING: Figure 1

Proposed is a calibration method for a camera and a lidar using a calibration board having a specific pattern. The method may include extracting one frame for an image captured by a camera and point cloud data acquired by a lidar, by a data generator, identifying a feature point for a calibration board included in one extracted frame for the image and the lidar, by the data generator, and performing calibration for the camera and the lidar based on the identified feature point, by the data generator. The present method is a technology developed with support from the Ministry of Trade, Industry and Energy / Korea Planning and Evaluation Institute of Industrial Technology (Project No. 20022003 / Project name-Automotive industry technology development project / Project name-Development of industrial autonomous driving and safety assurance technology based on longitudinal and lateral interconnection).

An image encoding method and device according to the present disclosure may receive a video picture to be encoded, encode the received video picture to generate a compressed video picture, generate encoder optimization information, and generate a bitstream including the compressed video picture and the encoder optimization information. Here, the encoder optimization information may include at least one of an EOI identifier for human viewing and an EOI identifier for machine analysis.

According to an example embodiment, an electronic device may include: at least one processor, comprising processing circuitry; and a memory configured to store instructions, wherein at least one processor, individually and / or collectively, is configured to execute the instructions. The electronic device may identify a first object corresponding to a primary object and a second object corresponding to an additional object among a plurality of objects included in a first content. The electronic device may obtain personalized information related to a user from a second content. The electronic device may obtain at least one input prompt based on the first object, the second object, and the personalized information. The electronic device may provide, through a user interface, a third content which is output from a first artificial intelligence (AI) model by providing the at least one input prompt to the first AI model. The third content may include a third object resulting from changing of at least a part of the second object, and the first object.

A cognitive function estimation device cognitive function estimation device acquires a video of a target person. The cognitive function estimation device detects a specific body part forming a body of the target person from the video, and acquire detection information concerning the body part. The cognitive function estimation device classifies each section of the video for each state by determining the state of the target person based on the detection information. The cognitive function estimation device calculates, for each state, a variation amount of a specific body part in each section of the video which is classified, and calculate features associated to the variation amount for each state. The cognitive function estimation device calculates comparison features, which are features related to comparison between states, by comparing features of respective states.

In an endoscopy support device, a display control means superimposes and displays a lesion guide for specifying a lesion in an endoscopic image. An acquisition means acquires the endoscopic image. An analysis means segments a lesion region from the endoscopic image based on the endoscopic image and the lesion guide. An output means outputs the lesion region segmented. The endoscopy support device can support decision making by a user in the field of healthcare.

A method for detecting an image boundary using a generative adversarial network (GAN) model is provided. The GAN model includes a generator network and a discriminator network. The method includes the following steps. The GAN model is trained using a plurality of image pictures to obtain a weight value, an average value of a generator network loss parameter, and an average value of a discriminator network loss parameter. A generator network is updated with a first loss parameter, wherein the first loss parameter is a weighted sum of the average value of the generator network loss parameter and the average value of the discriminator network loss parameter. The discriminator network is updated with a second loss parameter, wherein the second loss parameter is the average value of the discriminator network loss parameter.

A paper jam indication detection device detects an indication that a paper jam will occur in a paper feed device. The paper jam indication detection device includes: a sound collector that collects a friction sound produced by friction between a plurality of sheets of paper when the paper is fed from a holder holding the plurality of sheets of the paper; an indication detector that detects an indication that a paper jam will occur in the paper feed device based on a decrease in the friction sound collected by the sound collector; and a signal outputter that, when the indication is detected by the indication detector, outputs, to the paper feed device, a signal for stopping the paper from being fed from the holder.

This disclosure provides an image encoding / decoding method and device and recording medium storing a bitstream. The image decoding method may comprise: constructing a candidate list related to prediction of a current block; generating a prediction block of the current block based on a candidate selected from the candidate list; and generating a reconstructed block of the current block based on the prediction block, wherein the constructing of the candidate list includes: generating a candidate list for each of two or more types classified based on at least one coding parameter; and generating an integrated candidate list by adding at least one candidate selected in the candidate list for each type in a predetermined order, and wherein the at least one coding parameter is a motion information derivation method, and the two or more types include a first type of a spatially neighboring block, a second type of a temporal neighboring block and a third type of a non-neighboring block.

An information processing method performed by an information processing unit includes obtaining descriptors related to a material, converting the obtained descriptors into correlativity-reduced descriptors in which correlativity therebetween is reduced by using conversion coefficients, calculating importance of the correlativity-reduced descriptors, identifying important descriptors from the descriptors on a basis of the conversion coefficients used for conversion into the correlativity-reduced descriptors having high importance, generating a learned model by machine learning using the important descriptors and a characteristic value of the material as learning data, and estimating a characteristic value of a different material different from the material by using the learned model.

The present disclosure relates to a method, an apparatus, and a computer program for authenticating a connectionless asset tracking service in a Wireless communication system, and a recording medium for the computer program. The method for authenticating a connectionless asset tracking service comprises the steps in which a first device: receives an advertising packet from a second device; determines whether at least one advertising data (AD) structure included in the advertising packet is an AD structure related to a connectionless asset tracking service, and on the basis of security key information, decodes the AD structure related to the connectionless asset tracking service; and determines a location on the basis of the AD structure related to the connectionless asset tracking service, wherein an AD type field of the structure related to the connectionless asset tracking service may comprise a value indicating a connectionless asset tracking service.

A surface estimation method includes a region-setting step and an estimation step. In the region-setting step, a reference region that is one of a three-dimensional region and a two-dimensional region is set. The three-dimensional region includes three or more points and is set in a three-dimensional space. The three-dimensional space includes three-dimensional coordinates of three or more points on a subject calculated on the basis of a two-dimensional image of the subject. The three-dimensional coordinates of the three or more points are included in three-dimensional image data. The two-dimensional region includes three or more points and is set in the two-dimensional image. In the estimation step, a reference surface that approximates a surface of the subject is estimated on the basis of three or more points of the three-dimensional image data corresponding to the three or more points included in the reference region.

A notification system includes: an obtainer that obtains an audio content to be notified of and a result of sensing by a sensor that senses a space in which a notification device is located; a determiner that determines whether a first user ready to listen to the audio content notified of by the notification device is in the space, based on the result of the sensing; and a controller that performs first control of controlling notification of the audio content by the notification device depending on whether the first user is in the space. In the first control, the controller: causes the notification device to notify of the audio content, when the first user is in the space; and prevents the notification device from notifying of the audio content, when the first user is not in the space.

An image forming apparatus includes: an image forming unit that forms an image on a recording medium; plural sound detection units that detect a sound of the image forming unit; and a specifying unit that specifies an abnormality of the image forming unit based on information output from the plural sound detection units, in which the specifying unit is provided in a number less than the number of plural sound detection units.

This method for calculating curvature of an arbitrarily defined range of an optical element includes: a step (a) for obtaining a lateral vector s of an element number n representing a local curvature distribution in an arbitrarily defined range of the optical element; and a step (b) for, when an average spherical power in a prescribed light flux range within an arbitrarily defined range is defined as a macro curvature c, calculating the macro curvature c without using wavefront information in the arbitrarily defined range by using a weighting vector w with which an approximate expression of c ≈ wsT is satisfied.

[Problem] To realize bidirectional communication between a user and a distributor in a livestream.[Solution] An information processing device including: a communication unit that sends distribution content, provided by a distributor, to a plurality of user terminals; a group selection unit that selects a first group, from among a plurality of groups to each of which two or more users belong, the first group being one group or two or more groups; and a connection control unit that controls a connection to enable bidirectional communication between the users belonging to the first group and the distributor.