Lg Electronics Inc.

Korea University Research and Business Foundation

Skhynix Inc.

Other

Daewoo Electronics Co., Ltd.

Goldstar, Co., Ltd.

Lg Semicon Co., Ltd.

Jong Sun Park

In Hwan Choi

Jin Woo Kim

Kook Yeon Kwak

Hyoung Gon Lee

Byoung Gill Kim

Won Gyu Song

Hyeon Cheol Cho

Il Soo Cho

Seung Man Kim

Jong Moon Kim

Dong Yeob Shin

Woong Il Choi

Jin Ho Jeong

Joong Ho Jo

Geon Ho Kim

Kwan Ho Bae

Yung Gil Kim

Won Gyu Shin

Myeong Jae Park

Byung Kuk Yoon

Hee B Park

Jong Keun Shin

Hee Chul Kim

Jun Il Moon

Dae-Jin Kim

Hyung Hoon Oh

Key H Kim

Seong Yoon Kang

Jun Seon Kim

Kyu Ik Sohng

Eun Su Kim

Dae Won Kim

Woo Jin Rim

Dong Won Ryu

Seung Hwan Bang

Jun Hyun Song

Jang Won Park

Sang Kyu Lee

Won Yong Hwang

A dynamic fault clustering method and apparatus for efficiently managing redundancy in semiconductor memories performs a collection operation of searching for and detecting a fault and an operation of appropriately clustering the fault at the same time, which reduces an amount of time spent performing Built-In Redundancy Analysis (BIRA).

Dynamic fault clustering method and apparatus

Disclosed are a bus inversion encoder module that utilizes future data in a data bus including a serializer with minimum latency and high transition reduction efficiency by comparing current data with both past data and the future data and encoding the current data, and a bus inversion system including the same. The bus inversion encoder module uses current data, past data, and future data transmitted through a bus and each including a plurality of bits, determines whether to invert the current data, and generates a current flag and coded current data by using whether to invert, an output flag, and the current data. The output flag is generated by summing the current flag and the coded current data and serially converting the current flag and the coded current data.

Bus inversion encoder module and bus inversion system including the same

The present invention is related to the electronic device and learning method for learning of low complexity artificial intelligence model based on selecting dynamic prediction confidence threshold.

Electronic device and learning method for learning of low complexity artificial intelligence model based on selecting dynamic prediction confidence threshold

A deep neural network training accelerator includes an operational unit sequentially performing first and second operations on a plurality of input data of a sub-set according to a mini-batch gradient descent, a determination unit determining each of the input data as one of skip data and training data based on a confidence matrix obtained by the first operation, and a control unit controlling the operational unit to skip the second operation with respect to the skip data.

Deep neural network training accelerator and operation method thereof

A redundancy managing method and apparatus for semiconductor memories is disclosed. The redundancy managing method for semiconductor memories utilizes bitmap type storage by defining an appropriate storage space according to the type of a fault.

Redundancy managing method and apparatus for semiconductor memories

Disclosed is an erasure-based Reed-Solomon code soft-decision decoding method and device, capable of reducing a decoding time while minimizing the effect on error correction performance. The Reed-Solomon code soft-decision decoding device includes an erasure control circuit configured to determine whether a number of errors in a codeword is odd or even, and to provide a key equation solver circuit with a first erasure pattern or a second erasure pattern according to a result of the determining when a decoding failure is detected by a decoding error detection circuit, the first erasure pattern being provided when the number of errors is odd, the second erasure pattern being provided when the number of errors is even.

Reed-Solomon code soft-decision decoding method and device

A broadcast receiving system capable of receiving mobile broadcast data and a method for processing broadcast signals are disclosed. The broadcast receiving system includes N number of antenna elements, a demodulator, a transmission parameter detector, and a block decoder. The N number of antenna elements receives each of the broadcast signals. The demodulator demodulates the broadcast signal having greater signal strength among each of the received broadcast signals. The transmission parameter detector detects the transmission parameter. The block decoder symbol-decodes the mobile broadcast service data included in the received broadcast signal in block units, based upon the detected transmission parameter.

Broadcast receiving system and method for processing broadcast signals

A method and apparatus for transmitting a broadcast signal are provided. Data of data packets is encoded to add first parity data to the data packets. The data packets include broadcast data and signaling data for a service. The signaling data includes type information indicating a type of the service and channel information of the service. Information for acquisition of the signaling data is predefined. The encoded data is block interleaved. The block-interleaved data is convolutional interleaved. Transmission parameters are first encoded for signaling the broadcast data to add second parity data to the transmission parameters, and the first-encoded transmission parameters are second encoded at a code rate. A frame including the convolutional interleaved data and the second-encoded transmission parameters is built. The broadcast signal including the frame is transmitted. The transmission parameters include information for identifying a number of the first parity data.

A method for correcting error in a memory comprises setting a protected scope for at least part of unit data to be written in the memory according to an operation voltage of the memory; implementing error correction encoding for protected data corresponding to the protected scope among the unit data; and writing the unit data in the memory while matching them with parity data generated as a result of the error correction encoding.

Error correction processing circuit in memory and error correction processing method

A flash memory apparatus having a physical unclonable function (PUF) and an embodying method of the same are provided. To elaborate, the flash memory apparatus includes a flash memory unit that comprises a main memory area and a peripheral memory area; a challenge input unit that receives input of a challenge value; a read voltage setting unit that sets a read voltage based on the input challenge value; a data reading unit that reads data by applying the read voltage to a memory cell included in a pre-set memory area in the peripheral memory area each time the challenge value is input; and a response output unit that outputs the read data as a response value corresponding to the challenge value, wherein the pre-set memory area consists of a plurality of memory cells comprising two or more memory cells having different threshold voltage values.

Flash memory apparatus for physical unclonable function and embodying method of the same

The digital signal processor includes a DRAM including multiple memory cells configured to store data in a parasitic capacitor and a core logic configured to perform an operation of recording, reading, or updating data in the DRAM on the basis of a predetermined digital signal processing architecture. The core logic: records input data in a memory cell of the DRAM; reads the recorded input data before a retention time passes; and externally outputs the data or stores the data in another memory cell of the DRAM.

Systems and methods for processing data

A broadcast receiving system capable of receiving mobile broadcast data and a method for processing broadcast signals are disclosed. The broadcast receiving system includes a first receiving unit, a second receiving unit, a known sequence detector, a equalizer, and a display unit. The first receiving unit receives a first broadcast signal including first mobile broadcast service data and first main broadcast service data. The second receiving unit receives a second broadcast signal including second mobile broadcast service data and second main broadcast service data. The known sequence detector detects at least one of known data included in the received first broadcast signal and known data included in the received second broadcast signal. The channel equalizer uses the detected known data, thereby channel-equalizing the received first and second mobile broadcast service data corresponding to the detected known data. The display unit provides any one of first video data and second video data included in the channel-equalized first and second mobile broadcast service data to a user.

A static random access memory comprises a pre-charge unit that supplies a pre-charge voltage to first and second bit lines connected to a bit cell; a capacitor, of which one or the other terminal is selectively connected to a ground terminal; a clamping unit that selectively connects the bit lines with the capacitor to adjust a voltage level of the bit lines; and a mux unit that is included in a unit memory cell including the bit cell, the pre-charge unit, the capacitor and the clamping unit, and activates the bit lines of the unit memory cell in response to reception of a selection signal; wherein the clamping unit connects the first and second bit lines with the capacitor in response to a charge sharing control signal, to induce charge sharing between the first and second bit lines and the capacitor.

Static random access memory and driving method thereof

Growing community of inventors

Seoul, South Korea

Jong Sun Park