Abstract:
An electronic device is provided. The electronic device includes a microphone, and at least one processor operatively connected to the microphone, wherein the at least one processor may include a buffer memory configured to store a first feature vector for a first voice signal obtained from the microphone as an inverse value, and an operation circuit configured to perform a norm operation for a first feature vector and a second feature vector, based on the second feature vector, based on a second voice signal streamed from the microphone and an inverse value of the first feature vector stored in the buffer memory, or calculate a similarity between the first feature vector and the second feature vector. In addition, various embodiments identified through the specification are possible.
Abstract:
Disclosed is an electron beam lithography method. The method comprises obtaining a target pattern having a first width to be formed on a substrate, acquiring a dose pattern including a fixed dose cell which corresponds to a region of the dose pattern with a constant dose amount of electron beam to be provided onto the substrate and a variable dose cell which corresponds to a region of the dose pattern with a variable dose amount which is varied based on the first width of the target pattern, and providing the electron beam to expose the substrate according to the dose pattern.
Abstract:
Methods of reducing registration errors of photomasks and photomasks formed using the methods are provided. The method may include forming a plurality of photomask patterns on a substrate and determining registration errors of the plurality of photomask patterns. The method may further include forming a plurality of stress-producing portions in the substrate to reduce the registration errors by considering exposure latitude variations.
Abstract:
A method of forming a reticle includes: loading a blank reticle; projecting an electron beam; moving a second aperture plate having a first pattern aperture and a second pattern aperture so that the first pattern aperture is directly overlapped by a first aperture of a first aperture plate, the electron beam passing through the first pattern aperture after passing the first aperture; exposing the blank reticle with the electron beam after the electron beam passes the first pattern aperture, to form a first exposure pattern; moving the second aperture plate so that the second pattern aperture is directly overlapped by the first aperture of the first aperture plate, the electron beam passing through the second pattern aperture after passing the first aperture; exposing the blank reticle with the electron beam after the electron beam passes the second pattern aperture, to form a second exposure pattern; and developing the blank reticle having the first and second exposure patterns to form the reticle having first and second patterns.
Abstract:
A method of manufacturing a reticle, the method including preparing a substrate, determining position data of a pattern to be formed on the substrate, and setting a primary exposure condition to form the pattern; performing a primary exposure simulation regarding the substrate based on the position data of the pattern and the primary exposure condition; calculating a primary deformation rate of the substrate, which is generated in the primary exposure simulation; correcting the position data of the pattern based on the primary deformation rate of the substrate to provide a corrected position data of the pattern; and exposing the substrate under the primary exposure condition based on the corrected position data of the pattern.
Abstract:
A cache and a method for performing data copying are provided. The cache includes a copy logic and be connected to a processor through a first bus and to a memory controller through a second bus, which is different from the first bus. Moreover, the copy logic may perform data copying through the second bus based on a data copy command received from the processor.
Abstract:
An electronic device is provided. The electronic device includes a touch sensor, a processor, and a memory. The processor may determine a touch input from a user as at least one of a force-touch input or a long-touch input, based on received touch data, determine whether a result of determining the touch data matches an intention of the user, store data that does not match the intention of the user as a result of determination among the touch data in the memory, and determine a type of an artificial intelligence (AI)-based pre-learning model to be used in the electronic device, based on touch input accuracy and the data that does not match the intention of the user.
Abstract:
According to various embodiments, an electronic device includes a memory storing deep learning models for determining a force touch, a touchscreen, and a processor configured to identify a touch input of a user through the touchscreen, receive touch pixel data for frames having a time difference based on the touch input, and identify whether the touch input is a force touch based on the touch pixel data. The processor is configured to identify whether the touch input is the force touch using a first determination model among the deep learning models in response to identifying that the touch input is reinputted a designated first number of times or more within a designated time, and otherwise, identify whether the touch input is the force touch using a determination model having a lower computation load than the first determination model among the deep learning models.
Abstract:
A method of providing a photolithography pattern can be provided by identifying at least one weak feature from among a plurality of features included in a photolithography pattern based on a feature parameter that is compared to a predetermined identification threshold value for the feature parameter. A first region of the weak feature can be classified as a first dosage region and a second region of the weak feature can be classified as a second dosage region. Related methods and apparatus are also disclosed.
Abstract:
An example electronic device may include a fingerprint sensor, a touch sensor, a memory, and a processor. The processor may be configured to determine whether a touch input is generated, determine whether the generated touch input continues for a given time or more, generate first data by accumulating the touch input generated based on the touch input continuing for the given time or more, determine whether an inputted fingerprint corresponds to a registered fingerprint of a registered user, analyze the first data using a first AI model based on the inputted fingerprint corresponding to the registered fingerprint, analyze the first data using a second AI model based on the inputted fingerprint not corresponding to the registered fingerprint, identify a form of the touch input based on the first data, and perform a function and/or execute a user interface corresponding to the identified form of the touch input.