Abstract: A light emitting device of an embodiment includes a body including a black epoxy molding compound (EMC) including carbon black; first and second lead frames electrically separated from each other by the body; a light emitting device disposed above at least one of the first or second lead frame; and a molding member disposed above the body and the first and second lead frames so as to surround the light emitting device.

Abstract: An automatic translation device includes a communications module transmitting and receiving data to and from an ear-set device including a speaker, a first microphone, and a second microphone, a memory storing a program generating a result of translation using a dual-channel audio signal, and a processor executing the program stored in the memory. When the program is executed, the processor compares a first audio signal including a voice signal of a user, received using the first microphone, with a second audio signal including a noise signal and the voice signal of the user, received using the second microphone, and entirely or selectively extracting the voice signal of the user from the first and second audio signals, based on a result of the comparison, to perform automatic translation.

Abstract: An error correction code (ECC) unit includes an error correction code (ECC) encoder configured to perform error correction code (ECC) encoding for each of a first data group and a second data group sharing at least one data with the first data group; and an error correction code (ECC) decoder configured to perform error correction code (ECC) decoding for each of the first data group and the second data group. The ECC decoder performs the ECC decoding for the second data group when the ECC decoding for the first data group fails, and does not perform the ECC decoding for the second data group when the ECC decoding for the first data group succeeds.

Abstract: An error correction code processing method includes performing a first encoding operation for a data group of a first direction; performing a second encoding operation for a data group of a second direction, wherein the data group of the first direction shares one or more data with the data group of the second direction; performing a first decoding operation of correcting an error included in the data group of the first direction; and performing a second decoding operation of correcting an error included in the data group of the second direction when the first decoding operation fails.

Abstract: Disclosed is a semiconductor memory device. The semiconductor memory device includes: a first memory block; and a second memory block sharing a block word line with the first memory block, in which the block word line includes a first block word line disposed so as to overlap the first memory block and a second block word line disposed so as to overlap the second memory block. According to the present disclosure, it is less likely to have an operation failure.

Abstract: The semiconductor memory device may include a memory cell array and a peripheral circuit. The memory cell array may include a plurality of memory blocks. The peripheral circuit may perform a multi-page read operation on a selected memory block among the plurality of memory blocks. The peripheral circuit may select a first word line and a second word line, which are coupled to the selected memory block, and perform the multi-page read operation on the first and second word lines.

Abstract: A data storage device includes a nonvolatile memory device including dies including word line groups in which word lines are grouped; and a controller. The controller includes a word line health rating logic configured to determine a health rating of each word line and a health rating of each word line group based on state information on each of health rating factors associated with the word lines; a memory including a word line health rating table in which the health rating of each word line and the health rating of each word line group are stored; and a mapping logic configured to generate a management target logical super block by mapping one word line group having a lowest health rating and word line groups having a highest health rating, and generate a normal logical super block by mapping word line groups having intermediate health ratings.

Abstract: An engine control method of a hybrid electric vehicle is provided. The method includes detecting a state of charge (SOC) of a main battery of the hybrid electric vehicle and detecting whether a brake requires operation when the main battery is in a fully-charged state or a charging-limiting state. An engine fuel cut of the hybrid electric vehicle is executed when a request for the engine brake is generated and an engine is operated to maximize an engine load of the hybrid electric vehicle.

Abstract: A voice signal processing apparatus includes: an input unit which receives a voice signal of a user; a detecting unit which detects an auxiliary signal; and a signal processing unit which transmits the voice signal to an external terminal in a first operation mode and transmits the voice signal and the auxiliary signal to the external terminal using the same or different protocols in a second operation mode.

Abstract: A speech recognition method capable of automatic generation of phones according to the present invention includes: unsupervisedly learning a feature vector of speech data; generating a phone set by clustering acoustic features selected based on an unsupervised learning result; allocating a sequence of phones to the speech data on the basis of the generated phone set; and generating an acoustic model on the basis of the sequence of phones and the speech data to which the sequence of phones is allocated.

Abstract: A light emitting device of an embodiment includes a body including a black epoxy molding compound (EMC) including carbon black; first and second lead frames electrically separated from each other by the body; a light emitting device disposed above at least one of the first or second lead frame; and a molding member disposed above the body and the first and second lead frames so as to surround the light emitting device.

Abstract: A user terminal, hands-free device and method for hands-free automatic interpretation service. The user terminal includes an interpretation environment initialization unit, an interpretation intermediation unit, and an interpretation processing unit. The interpretation environment initialization unit performs pairing with a hands-free device in response to a request from the hands-free device, and initializes an interpretation environment. The interpretation intermediation unit sends interpretation results obtained by interpreting a user's voice information received from the hands-free device to a counterpart terminal, and receives interpretation results obtained by interpreting a counterpart's voice information from the counterpart terminal.

Abstract: An automatic translation device includes a communications module transmitting and receiving data to and from an ear-set device including a speaker, a first microphone, and a second microphone, a memory storing a program generating a result of translation using a dual-channel audio signal, and a processor executing the program stored in the memory. When the program is executed, the processor compares a first audio signal including a voice signal of a user, received using the first microphone, with a second audio signal including a noise signal and the voice signal of the user, received using the second microphone, and entirely or selectively extracting the voice signal of the user from the first and second audio signals, based on a result of the comparison, to perform automatic translation.

Abstract: Disclosed is a pressure detecting device having a temperature sensor, the device including: a housing having a first chamber, a second chamber, and a port part having a fluid guide tube that guides a pressure transmitting fluid to the second chamber; a lead frame coupled to the housing and configured for being connected to an external device; a circuit substrate electrically connected to the lead frame and including a first surface and a second surface; a pressure detecting element provided on the second surface of the circuit substrate and generating an electrical signal according to a pressure change; a tube coupled to the port part, whereby a first end of the tube is open and provided inside the first chamber; and a temperature detecting element provided inside the tube and transmitting an electrical signal generated according to a temperature change to the circuit substrate.

Abstract: A method for operating a semiconductor memory device may include applying a program pulse for programming data of a first page included in the semiconductor memory device. The method may include determining whether the number of times of applying the program pulse has exceeded a first critical value. The method may include performing an error bit check on a second page coupled to the same word line as the first page, based on the determined result of whether the first critical value has been exceeded.

Abstract: Provided are an automatic interpretation system and method for generating a synthetic sound having characteristics similar to those of an original speaker's voice. The automatic interpretation system for generating a synthetic sound having characteristics similar to those of an original speaker's voice includes a speech recognition module configured to generate text data by performing speech recognition for an original speech signal of an original speaker and extract at least one piece of characteristic information among pitch information, vocal intensity information, speech speed information, and vocal tract characteristic information of the original speech, an automatic translation module configured to generate a synthesis-target translation by translating the text data, and a speech synthesis module configured to generate a synthetic sound of the synthesis-target translation.

Abstract: An error correction code processing method includes performing a first encoding operation for a data group of a first direction; performing a second encoding operation for a data group of a second direction, wherein the data group of the first direction shares one or more data with the data group of the second direction; performing a first decoding operation of correcting an error included in the data group of the first direction; and performing a second decoding operation of correcting an error included in the data group of the second direction when the first decoding operation fails.

Abstract: A semiconductor memory device includes a memory cell array, a read/write circuit, a control logic, and a block defect information storage unit. The control logic controls the read/write circuit to perform a read/write operation on the memory cell array. The block defect information storage unit stores information on access records of memory blocks of the memory cell array and whether defects occur in the memory blocks. When the performance of an operation is requested, the control logic controls the read/write circuit to determine whether the memory block is first accessed with reference to the access records of the block defect information storage unit and perform a word line test of the memory block, based on the determination.

Abstract: Disclosed is a semiconductor memory device. The semiconductor memory device includes: a first memory block; and a second memory block sharing a block word line with the first memory block, in which the block word line includes a first block word line disposed so as to overlap the first memory block and a second block word line disposed so as to overlap the second memory block. According to the present disclosure, it'is less likely to have an operation failure.

Abstract: A speech recognition method capable of automatic generation of phones according to the present invention includes: unsupervisedly learning a feature vector of speech data; generating a phone set by clustering acoustic features selected based on an unsupervised learning result; allocating a sequence of phones to the speech data on the basis of the generated phone set; and generating an acoustic model on the basis of the sequence of phones and the speech data to which the sequence of phones is allocated.