• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.46 no.3
• /
• pp.307-317
• /
• 2020

The barrier structure of the skin's epidermis is a key structure to prevent the loss of water inside the body and the invasion of foreign substances, and is composed of keratinocytes and intercellular lipids. At this time, the intercellular lipids of the skin barrier has the strongest structure when packed in an orthorhombic structure. However, it is damaged by various external causes and changes to a hexagonal structure. This change in physical structure can be analyzed non-invasively by analyzing the signal of the CH₂-CH₂ scissoring band of lipids using FT-IR. In this study, SDS was treated on porcine skin to construct a skin barrier damage model, and the degree of change in packing structure was quantified by analyzing FT-IR signals. We then judged whether the barrier of the damage model was recovered according to the treatment of the cosmetic formulation. From these results, an indirect method of measuring the water evaporation of the skin barrier to date can be supplemented. In addition, physical changes in the structure of the skin barrier can be utilized in a direct and efficient manner to identify the function and verify the formulation of various materials.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.05a
• /
• pp.179-182
• /
• 2022

최근 코로나 19 팬더믹 이후 원격근무의 확대와 더불어 랜섬웨어 팬더믹이 심화하고 있다. 현재 안티바이러스 백신 업체들이 랜섬웨어에 대응하고자 노력하고 있지만, 기존의 파일 시그니처 기반 정적분석은 패킹의 다양화, 난독화, 변종 혹은 신종 랜섬웨어의 등장 앞에 무력화될 수 있고, 실제로 랜섬웨어의 피해 규모 지속 증가가 이를 설명한다. 본 논문에서는 기계학습을 기반으로 한 단일 분석만을 이용하여 탐지모델에 적용하는 것이 아닌 정적 분석 정보(.text Section Opcode)와 동적 분석 정보(Native API)를 추출하고 유사도를 바탕으로 연관성을 찾아 결합하여 기계학습에 적용하는 탐지모델을 제안한다.

• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.49 no.4
• /
• pp.323-330
• /
• 2023

The skin's barrier structure is formed through the differentiation process of epidermal keratinocytes. It consists of corneocytes that are composed of keratin proteins and lipids that fill the spaces between them. During this process, the lipids such as phospholipid that made up the membrane of the basal layer cells of the epidermis are decomposed and replaced with newly synthesized components like ceramide. In this study, the effect of ginsenoside Rg3 components on the packing of the intercellular lipid structure of the skin barrier and the barrier function was confirmed. To confirm this, Rg3 components were treated during the differentiation process of 3D epidermal cells. The FT-IR and TEWL analysis on 3D epidermis showed an enhancement in the orthorhombic lipid packing and an improvement in barrier function. Additionally, in HaCaT cells, an increase in the expression of EVOL1 and EVOL4, which synthesize long-chain lipids, was detected, along with a decrease in CERS6, which synthesizes short-chain ceramide, and an increase in ACER6, which decomposes ceramide using phytosphingosine. This suggests the possibility that Rg3 affects lipid synthesis during the epidermal differentiation process, resulting in changes in barrier function.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2006.05a
• /
• pp.137-142
• /
• 2006

제철소 후판공장에서는 두꺼운 슬라브(Slab)를 압연하여 사각형태의 철판인 날판(Mother Plate)을 생산하고, 이를 주문(Plate) 사이즈에 맞게 다시 절단을 하게 된다. 이때 동일 슬라브라 하더라도 압연방법에 따라 다양한 사이즈의 날판을 생산할 수 있다. 여기에서 다루고 있는 후판 날판설계 문제는 주어진 주문을 대상으로 최소 개수의 슬라브를 사용하여 생산하는 문제를 말한다. 이를 위해 최적의 날판 사이즈를 결정하고, 각 날판에 주문들을 배치하게 된다. 본 논문에서는 후판 날판설계문제를 two-stage guillotine cutting problem의 변이로 모델을 세우고, 이를 위한 효율적인 휴리스틱을 제시하였다. 그리고 실 데이터를 대상으로 컴퓨터 실험을 통해 휴리스틱을 효율성을 검정하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2021.06a
• /
• pp.75-77
• /
• 2021

MPEG 비디오 그룹은 제한된 3D 공간 내에서 움직임 시차(motion parallax)를 제공하면서 원하는 시점(view)을 렌더링(rendering)하기 위한 표준으로 TMIV(Test Model for Immersive Video)라는 테스트 모델과 함께 효율적인 몰입형 비디오의 부호화를 위한 MIV(MPEG Immersive Video) 표준을 개발하고 있다. 몰입감 있는 시각적 경험을 제공하기 위해서는 많은 수의 시점 비디오가 필요하기 때문에 방대한 양의 비디오를 고효율로 압축하는 것이 불가피하다. TMIV 는 여러 개의 입력 시점 비디오를 소수의 아틀라스(atlas) 비디오로 변환하여 부호화되는 화소수를 줄이게 된다. 아틀라스는 선택된 소수의 기본 시점(basic view) 비디오와 기본 시점으로부터 합성할 수 없는 나머지 추가 시점(additional view) 비디오의 영역들을 패치(patch)로 만들어 패킹(packing)한 비디오이다. 본 논문에서는 아틀라스 비디오의 보다 효율적인 부호화를 위해서 패치 내에 생기는 작은 홀(hole)들을 채우는 기법을 제안한다. 제안기법은 기존 TMIV8.0 에 비해 1.2%의 BD-rate 이 향상된 성능을 보인다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.131-133
• /
• 2023

악성코드를 유포할 때 프로그램 코드만으로 악성코드의 유무를 확인할 수 없도록 조치하여 분석을 지연시키는 방식을 사용하는 방향으로 발전하고 있다. 악성코드를 실행하지 않고 코드와 구조만으로 분석하는 정적 분석으로는 악성코드를 판별할 수 없어 코드를 직접 실행해 분석하는 동적 분석을 이용해야 한다. 본 논문에서는 난독화된 비정상적인 코드를 직접 실행한 동적 분석데이터와 일반적이지 않은 섹션들의 정보를 추출한 정적 분석데이터를 이용해 동적-정적 분석 데이터와 딥러닝 모델을 통해 난독화 및 패킹된 악성코드를 탐지하는 기법을 제안한다.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.5
• /
• pp.1119-1127
• /
• 2018

Most of the cyber attacks are caused by malicious codes. The damage caused by cyber attacks are gradually expanded to IoT and CPS, which is not limited to cyberspace but a serious threat to real life. Accordingly, various malicious code analysis techniques have been appeared. Dynamic analysis have been widely used to easily identify the resulting malicious behavior, but are struggling with an increase in Anti-VM malware that is not working in VM environment detection. On the other hand, static analysis has difficulties in analysis due to various packing techniques. In this paper, we proposed malware classification techniques regardless of known packers or unknown packers through the proposed model. To do this, we designed a model of supervised learning and unsupervised learning for the features that can be used in the PE structure, and conducted the results verification through 98,000 samples. It is expected that accurate analysis will be possible through customized analysis technology for each class.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.32 no.2
• /
• pp.181-192
• /
• 2022

The emergence of new malware is incapacitating existing signature-based malware detection techniques., and applying various anti-analysis techniques makes it difficult to analyze. Recent studies related to signature-based malware detection have limitations in that malware creators can easily bypass them. Therefore, in this study, we try to build a machine learning model that can detect and classify the anti-analysis techniques of packers applied to malware, not using the characteristics of the malware itself. In this study, the n-gram opcodes are extracted from the malicious binary to which various anti-analysis techniques of the commercial packers are applied, and the features are extracted by using TF-IDF, and through this, each anti-analysis technique is detected and classified. In this study, real-world malware samples packed using The mida and VMProtect with multiple anti-analysis techniques were trained and tested with 6 machine learning models, and it constructed the optimal model showing 81.25% accuracy for The mida and 95.65% accuracy for VMProtect.

• Journal of the Korean Crystal Growth and Crystal Technology
• /
• v.15 no.1
• /
• pp.21-26
• /
• 2005

In order to simulate the powder compaction process and to assess the effects of packing randomness and particle arrangement 2-dimensional model of rod array compaction using quasi-random multiparticle array is introduced. The elastic modulus of porous ceramics is computed by the homogenization method. With 3 Al₂O₃ and 3 Al particles the compaction processes associated with the porosities are simulated by the explicit finite element method, based on the elastic modulus found by the homogenization method. The simulation results are compared with both previous analytical ones and experimental measurements. Finally, in order to find the relationship between the friction coefficient of powder particles and the relative density, the sensitivity analysis is performed.

• Journal of Practical Engineering Education
• /
• v.9 no.2
• /
• pp.119-124
• /
• 2017

In injection molding process, the runner system of the mold is a flow path for filling the cavity of the molded part during the advance of the screw by the force of the hydraulic cylinder, which involves the filling and packing process of the molten resin. Thus, the sprue, runner and gate greatly affect the appearance of the molded part, the physical properties of the resin, the dimensional accuracy and the molding cycle etc. Feed systems with incorrect runner and gate designs cause various molding defects, So it is important to maintain the optimum runner balance to prevent these defects. In order to improve the knowledge of practical mold technology, which is applied to the manufacturers of injection molds, a training model of the mold technology process is presented based on the technical guidance on the technical difficulties.