Yonsei University

Other

Hyundai Motor Company

Samsung Sdi Co., Inc.

Osong Medical Innovation Foundation, Korea University Research and Business Foundation

Se Won Kim

Do Sik Hwang

Hyun Woo Lee

Sungjun Kim

Young Woo Park

Hyuck Yoo

Sung Nim Jo

In Yong Park

Min Hyuk Oh

Mi Sun Lee

Tae Hwan Yu

Hae Young Kwon

Young Han Lee

Hae In Cho

Yun Ju Cho

Jae Ha Shim

Shin Jung Choi

Jong Seok Moon

Eon S Kim

Jun Sik Eom

Han Byol Jang

Ha Yeon Lee

A neural waveform distinguishment apparatus includes: a neural waveform obtainment unit that obtains multiple neural waveforms in a pre-designated manner from neural signals sensed by way of at least one electrode; a preprocessing unit that obtains multiple gradient waveforms by calculating pointwise slopes in each of the neural waveforms; a feature extraction unit comprising an encoder ensemble composed of multiple encoders, which have a pattern estimation method learned beforehand and include different numbers of hidden layers, where the feature extraction unit obtains multiple codes as multiple features extracted by the encoders respectively from the gradient waveforms and concatenates the codes extracted by the encoders respectively to extract a feature ensemble for each of the gradient waveforms; and a clustering unit that distinguishes the neural waveforms corresponding respectively to the gradient waveforms by clustering the feature ensembles extracted respectively in correspondence to the gradient waveforms according to a pre-designated clustering technique.

Apparatus and method for distinguishing neural waveforms

The disclosed technology relates to a method and device for generating a fat suppression magnetic resonance image. The method includes: inputting, by an imaging device, a magnetic resonance image to an encoder of a neural network to extract features of the magnetic resonance image; and generating, by a generator of the neural network, a T2-weighted fat suppression image based on the features, in which the neural network is trained according to a result of discriminating, by a discriminator of the neural network, a loss due to a generation of a T2-weighted fat suppression image and as a result of reconstructing, by a decoder, the magnetic resonance image input to the encoder using a Bloch equation before the magnetic resonance image is input.

Method and device for generating fat suppression magnetic resonance image using generative adversarial neural network based on the Bloch equation

Provided are a cathode active material for a lithium secondary battery, a method of fabricating the same, and a lithium secondary battery including the same. The cathode active material includes a lithium composite transition metal oxide represented by LiNiCoMnOF(0.1&#x2266;c&#x2212;a&#x2266;0.4, 0.13&#x2266;a&#x2266;0.3, 0.03&#x2266;b&#x2266;0.2, 0.4&#x2266;c&#x2266;0.6, (a+b+c)+(1+(c&#x2212;a)/2)=2, 0&#x3c;x&#x2266;0.15, 1&#x2266;a/b&#x2266;6, 1.9&#x2266;c/a&#x2266;4.0, and 0.04&#x2266;b/(a+b+c)&#x2266;0.25), and layer-structured LiMnO. Since the lithium secondary battery including the cathode active material has a large capacity and generates less gas, lifespan characteristics and high rate capability are significantly improved, and especially voltage variation during charging and discharging operations is small.

Cathode active material for lithium secondary battery, method of fabricating the same, and lithium secondary battery including the same

A method for determining software errors in a virtualization-based integrated control system detects software errors for each partition (software of a vehicle controller) and recovers automatically. Thus, system reliability, which is an advantage of virtualization techniques, can be further enhanced, thereby providing an operator with stability, and software errors can be easily addressed by writing error information.

Method for determining software error in virtualization based integrated control system

The invention relates to an apparatus for brushing chalk powder off from an eraser surface of a blackboard eraser in which elastic brushes attached to rotatable shafts of rotatable bodies are brushingly engaged with the eraser surface and are rotated in forward and reverse directions by a motor so that the chalk powder removed from the eraser is collected in chalk powder receiving containers. After the passage of a set time interval, the operation of the apparatus is automatically stopped. A chalk powder containing eraser and the now clean eraser inside the apparatus can be exchanged. Thus, dispersion of powder into the room is prevented.

Apparatus for automatically brushing chalk powder off from a blackboard

Growing community of inventors

Seoul, South Korea

Se Won Kim