Electronics and Telecommunications Research Institute

Ak Chemtech Co., Ltd.

Byung Jo Kim

Seong Su Park

Joo Hyun Lee

Mi Young Lee

Ju-Yeob Kim

Jin Kyu Kim

Seong Min Kim

Seok Bong Hyun

Hoo Sung Lee

Jeen Hur

Min-Hyung Cho

Ki Hyuk Park

Young-deuk Jeon

Ki Ho Park

Jong Hyun Seo

Sung Rae Cho

Sang Baek Han

Kyung Hwan Park

Sun Hee Kim

Seong-Su Park

Song Yi Kim

Hyun Chul Kang

Seok-bong Hyun

Hyun Cheol Park

Geum-Young Tak

Won Gook Shin

Ji Hye Bae

Hyon Pil Yu

Jae Bum Kim

Won Jun Jeong

Bu Hyeon Kim

Sung Pack Hong

Hyun Pil Yu

Disclosed is a surfactant composition in which at least one of surface tension and interfacial tension is superior, the composition including a fluorinated surfactant and a phospholipid-based surfactant, and optionally further including a sulfosuccinate-based surfactant.

Fluorinated surfactant composition

The neuromorphic arithmetic device comprises an input monitoring circuit that outputs a monitoring result by monitoring that first bits of at least one first digit of a plurality of feature data and a plurality of weight data are all zeros, a partial sum data generator that skips an arithmetic operation that generates a first partial sum data corresponding to the first bits of a plurality of partial sum data in response to the monitoring result while performing the arithmetic operation of generating the plurality of partial sum data, based on the plurality of feature data and the plurality of weight data, and a shift adder that generates the first partial sum data with a zero value and result data, based on second partial sum data except for the first partial sum data among the plurality of partial sum data and the first partial sum data generated with the zero value.

Neuromorphic arithmetic device and operating method thereof

An artificial neural network apparatus and an operating method including a plurality of layer processors for performing operations on input data are disclosed. The artificial neural network apparatus may include: a flag layer processor for outputting a flag according to a comparison result between a pooling output value of a current frame and a pooling output value of a previous frame; and a controller for stopping operation of a layer processor which performs operations after the flag layer processor among the plurality of layer processors when the flag is outputted from the flag layer processor, wherein the flag layer processor is a layer processor that performs a pooling operation first among the plurality of layer processors.

Artificial neural network apparatus and operating method for the same

An embodiment of the present invention provides a quantization method for weights of a plurality of batch normalization layers, including: receiving a plurality of previously learned first weights of the plurality of batch normalization layers; obtaining first distribution information of the plurality of first weights; performing a first quantization on the plurality of first weights using the first distribution information to obtain a plurality of second weights; obtaining second distribution information of the plurality of second weights; and performing a second quantization on the plurality of second weights using the second distribution information to obtain a plurality of final weights, and thereby reducing an error that may occur when quantizing the weight of the batch normalization layer.

Quantization method and device for weights of batch normalization layer

Provided is an image recognition device. The image recognition device includes a frame data change detector that sequentially receives a plurality of frame data and detects a difference between two consecutive frame data, an ensemble section controller that sets an ensemble section in the plurality of frame data, based on the detected difference, an image recognizer that sequentially identifies classes respectively corresponding to a plurality of section frame data by applying different neural network classifiers to the plurality of section frame data in the ensemble section, and a recognition result classifier that sequentially identifies ensemble classes respectively corresponding to the plurality of section frame data by combining the classes in the ensemble section.

Image recognition device, operating method of image recognition device, and computing device including image recognition device

A method for controlling a memory from which data is transferred to a neural network processor and an apparatus thereof are provided, the method including: generating prefetch information of data by using a blob descriptor and a reference prediction table after history information is input; reading the data in the memory based on the pre-fetch information and temporarily archiving read data in a prefetch buffer; and accessing next data in the memory based on the prefetch information and temporarily archiving the next data in the prefetch buffer after the data is transferred to the neural network from the prefetch buffer.

Method and apparatus for controlling memory using prefetch information

Provided is a convolutional neural network system including a data selector configured to output an input value corresponding to a position of a sparse weight from among input values of input data on a basis of a sparse index indicating the position of a nonzero value in a sparse weight kernel, and a multiply-accumulate (MAC) computator configured to perform a convolution computation on the input value output from the data selector by using the sparse weight kernel.

Convolutional neural network system and operation method thereof

The present invention relates to a method for preparing a glutamate-based surfactant. More specifically, the present invention provides a method for preparing a glutamate-based surfactant, the method being very economical and being capable of mass production of the glutamate-based surfactant.

Method for preparing glutamate-based surfactant

When precoding information corresponding to data items of respective layers to be transmitted is received from an upper layer, an encoding apparatus of a multiple input multiple output (MIMO) communication system selects a precoding matrix among a plurality of precoding matrices stored in a storage using the precoding information and precodes the data items of the respective layers by simple operations consisting of at least one operation combination of addition, subtraction, selection, and inversion operations in accordance with a kind of the selected precoding matrix and a precoding operation pattern.

Encoding apparatus and encoding method of multiple input multiple output communication system

Provided is a method and apparatus for transmitting data based on OFDM (Orthogonal Frequency Division Multiplexing). The method includes: forming a plurality of packets suitable for a selected transmission mode from data input to a transmitter; determining a transfer rate of the data; when the data transfer rate is determined to be low and synchronous connection oriented link should be maintained, dividing each of the plurality of packets into a plurality of sub-packets; and transmitting the divided sub-packets, wherein when the divided sub-packets are transmitted, a power supply duration of the transmitter is reduced by using a DPM (dynamic power management) or fine state control unit.

Method and apparatus for transmitting data based on OFDM

Provided are a mobile station and a method for providing an ultra power-saving mode in a mobile station. The method for providing an ultra power-saving mode in a mobile station includes: inactivating a communication function in a standby mode of the mobile station; extracting a DRX (discontinuous reception) cycle length coefficient K of the mobile station; determining a class-specific DRX cycle length coefficient Ni of the mobile station; replacing K with Ni; and monitoring a paging signal at a paging cycle corresponding to Ni.

Mobile station and method for providing ultra power-saving mode in mobile station

Provided are an apparatus and method for efficiently computing a log likelihood ratio (LLR) using the maximum a posteriori (MAP) algorithm known as block combining. The method includes the steps of: calculating alpha values, beta values and gamma values of at least two time sections; calculating transition probabilities of respective states in the at least two time sections; performing a comparison operation for some of the transition probabilities to determine the highest value, selecting one of the other transition probabilities according to the determined high value, comparing the determined value with the selected value to select the higher value, and thereby obtaining the highest of the transition probabilities; and determining an operation to apply according to the highest transition probability and calculating an LLR.

Apparatus and method for computing LLR

Provided is a turbo decoder with a variable scaling factor. The decoding convergence degree of the turbo decoder is evaluated using a sign difference ratio (SDR) value, the iterative-decoding number is limited, a variable scaling factor is calculated and applied in each decoding convergence area based on the SDR value, and the average number of decoding iterations is reduced.

Low-complexity and low-power-consumption turbo decoder with variable scaling factor

A terminal supporting peer-to-peer (P2P) communication, wherein a transceiver of the terminal is implemented to support P2P communication with an adjacent terminal in the same cell. Thus, when short-range communication is possible, the terminal performs P2P communication directly with the adjacent terminal, not via a base station. Consequently, when terminals use different mobile telecommunication service providers or there is no base station network, the terminals can be used for short-range communication. More particularly, when a receiving channel state becomes satisfactory while communication with an adjacent terminal is being performed via a base station, the terminal directly switches to a P2P communication mode and performs communication with the adjacent terminal. On the contrary, when the receiving channel state deteriorates while communication with the adjacent terminal is being performed in the P2P communication mode, the terminal directly switches to a base station communication mode and performs communication with the adjacent terminal.

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Daejeon, South Korea

Byung Jo Kim