Samsung Electronics Co., Ltd.

Ctilab Co., Ltd.

Mplus Co., Ltd.

Hong Yeon Cho

Kang Heon Hur

Joo Yul Ko

Kyeong-Koo Chi

Jung Wook Seo

Boum Seock Kim

Seung-Pil Chung

Young-Jae Kim

Chang-Jin Kang

Ho Kwon Yoon

Cheol-Kyu Lee

Won Woo Park

Tae Yang Oh

Hye-Jin Jo

Disclosed is a method of analyzing abnormal behavior by using data imaging, including: receiving data to be analyzed as an input, wherein the data to be analyzed is related to a state of a system to be analyzed; converting the inputted data to be analyzed into image data; training a neural network unit with the converted image data as an input; and detecting or predicting abnormal behavior in the system to be analyzed, at the neural network unit, which has received the image data converted from the data to be analyzed as the input and completed training.

Technology for analyzing abnormal behavior using deep learning-based system and data imaging

An AI-based malware detection method is provided. The method includes inputting malware binary data, extracting metadata from the inputted malware binary data, converting the extracted metadata into image data, and training a neural network on the converted image data to classify malware. Malware binary data can be effectively classified by converting the binary data to image data and analyzed through deep learning-based image models. In addition, results from the AI detection algorithm technology can be displayed visually for easy interpretation.

Artificial intelligence based malware detection system and method

A piezoelectric element driving apparatus may apply a predetermined driving signal to a piezoelectric element to drive the piezoelectric element. The driving signal may be an asymmetrical waveform in which amplitudes of first and second polarities thereof are different from each other. An exemplary embodiment in the present disclosure may provide a piezoelectric element driving apparatus and method having a high output while protecting dielectric characteristics of a piezoelectric element by driving the piezoelectric element using an asymmetrical driving signal.

Piezoelectric element driving apparatus and method, and piezoelectric system using the same

For fabricating a phase change memory cell, a layer of phase change material and a layer of a first electrode material are deposited. In addition, the first electrode material is patterned using an etchant including a low-reactivity halogen element such as bromine or iodine to form a first electrode. By using the low-reactivity halogen element, change to the composition of the phase change material and formation of undercut and deleterious halogen by-product are avoided.

Phase change memory cell and method and system for forming the same

A method for optimizing a seasoning recipe for a dry etch process. The method includes setting a critical value of reproducibility, a main etch recipe, and a preliminary seasoning recipe. A test wafer is then etched using the preliminary seasoning recipe in a dry etch chamber. Next, a main etch process is performed with respect to at least 10 run wafers in the dry etch chamber using the main etch recipe and an end-point detection time for each wafer is determined. An initial dispersion and a standard deviation are then determined using the determined end-point detection times. The critical value of reproducibility is then compared to the initial dispersion. If the initial dispersion is equal to or less than the critical value of reproducibility, the preliminary seasoning recipe is used as the seasoning recipe, otherwise the preliminary seasoning recipe is modified and the process is repeated until an optimal seasoning recipe is determined.

Method of optimizing seasoning recipe for etch process

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Suwon-si, South Korea

Hong Yeon Cho