• 제목/요약/키워드: Refinement behavior

검색결과 129건 처리시간 0.027초

단결정 실리콘 웨이퍼의 내마모성 및 내식성 향상을 관한 연구 (Enhancement of Wear and Corrosion Resistances of Monocrystalline Silicon Wafer)

  • 우르마노프 바흐티요르;노준석;편영식;아마노프 아웨즈한
    • Tribology and Lubricants
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    • 제35권3호
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    • pp.176-182
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    • 2019
  • The primary objective of this study is to treat a monocrystalline silicon (Si) wafer having a thickness of $279{\mu}m$ by employing the ultrasonic nanocrystal surface modification (UNSM) technology for improving the efficiency and service life of nano-electromechanical systems (NEMSs) and micro-electromechanical systems (MEMSs) by enhancing of wear and corrosion resistances. The wear and corrosion resistances of the Si wafer were systematically investigated before and after UNSM treatment, wherein abrasive, oxidative and spalling wear mechanisms were applied to the as-received and subsequently UNSM-treated Si wafer. Compared to the asreceived state, the wear and corrosion resistances of the UNSM-treated Si wafer are found to be enhanced by about 23% and 14%, respectively. The enhancement in wear and corrosion resistances after UNSM treatment may be attributed to grain size refinement (confirmed by Raman spectroscopy) and modified surface integrity. Furthermore, it is observed that the Raman intensity reduced significantly after UNSM treatment, whereas neither the Raman shift nor new phases were found on the surface of the UNSM-treated Si wafer. In addition, the friction coefficient values of the as-received and UNSM-treated Si wafers are found to be about 0.54 and 0.39, respectively. Hence, UNSM technology can be effectively incorporated as an alternative mechanical surface treatment for NEMSs and MEMSs comprising Si wafers.

Effects of pulsed laser surface remelting on microstructure, hardness and lead-bismuth corrosion behavior of a ferrite/martensitic steel

  • Wang, Hao;Yuan, Qian;Chai, Linjiang;Zhao, Ke;Guo, Ning;Xiao, Jun;Yin, Xing;Tang, Bin;Li, Yuqiong;Qiu, Shaoyu
    • Nuclear Engineering and Technology
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    • 제54권6호
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    • pp.1972-1981
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    • 2022
  • A typical ferritic/martensitic (F/M) steel sheet was subjected to pulsed laser surface remelting (LSR) and corrosion test in lead-bismuth eutectic (LBE) at 550 ℃. There present two modification zones with distinct microstructures in the LSRed specimen: (1) remelted zone (RZ) consisting of both bulk δ-ferrite grains and martensitic plates and (2) heat-affected zone (HAZ) below the RZ, mainly composed of martensitic plates and high-density precipitates. Martensitic transformation occurs in both the RZ and the HAZ with the Kurdjumov-Sachs and Nishiyama-Wassermann orientation relationships followed concurrently, resulting in scattered orientations and specific misorientation characteristics. Hardnesses of the RZ and the HAZ are 364 ± 7 HV and 451 ± 15 HV, respectively, considerably higher than that of the matrix (267 ± 3 HV). In oxygen-saturated and oxygen-depleted LBE, thicknesses of oxide layers developed on both the as-received and the LSRed specimens increase with prolonging corrosion time (oxide layers always thinner under the oxygen-depleted condition). The corrosion resistance of the LSRed F/M steel in oxygen-saturated LBE is improved, which can be attributed to the grain-refinement accelerated formation of dense Fe-Cr spinel. In oxygen-depleted LBE, the growth of oxide layers is very low with both types of specimens showing similar corrosion resistance.

A Network Packet Analysis Method to Discover Malicious Activities

  • Kwon, Taewoong;Myung, Joonwoo;Lee, Jun;Kim, Kyu-il;Song, Jungsuk
    • Journal of Information Science Theory and Practice
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    • 제10권spc호
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    • pp.143-153
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    • 2022
  • With the development of networks and the increase in the number of network devices, the number of cyber attacks targeting them is also increasing. Since these cyber-attacks aim to steal important information and destroy systems, it is necessary to minimize social and economic damage through early detection and rapid response. Many studies using machine learning (ML) and artificial intelligence (AI) have been conducted, among which payload learning is one of the most intuitive and effective methods to detect malicious behavior. In this study, we propose a preprocessing method to maximize the performance of the model when learning the payload in term units. The proposed method constructs a high-quality learning data set by eliminating unnecessary noise (stopwords) and preserving important features in consideration of the machine language and natural language characteristics of the packet payload. Our method consists of three steps: Preserving significant special characters, Generating a stopword list, and Class label refinement. By processing packets of various and complex structures based on these three processes, it is possible to make high-quality training data that can be helpful to build high-performance ML/AI models for security monitoring. We prove the effectiveness of the proposed method by comparing the performance of the AI model to which the proposed method is applied and not. Forthermore, by evaluating the performance of the AI model applied proposed method in the real-world Security Operating Center (SOC) environment with live network traffic, we demonstrate the applicability of the our method to the real environment.

하중변환 알고리듬을 적용한 줄눈 콘크리트 포장해석 프로그램 개발 (Development of Structure Analysis Program for Jointed Concrete Pavement Applying Load Discretization Algorithm)

  • 윤태영;김지원;조윤호
    • 한국도로학회논문집
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    • 제5권4호
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    • pp.1-11
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    • 2003
  • 최근 국내에서는 국내 여건을 고려한 설계법을 개발함과 동시에 이미 공용중에 있는 도로 포장의 성능향상을 위한 $\ulcorner$한국형 포장 설계법 개발과 성능개선 연구$\lrcorner$가 진행되고 있다. 본 연구에서 개발된 $\ulcorner$하중변환 알고리듬을 적용한 줄눈콘크리트 포장 해석 프로그램$\lrcorner$은 이러한 연구의 세부분야인 콘크리트 포장 설계법 개발분야의 연구 결과로서 기본 프로그램 부분과 하중변환 부분으로 구분되어 구성되며, 기본 프로그램 부분에서는 판/쉘 요소, 스프링 요소 보 요소를 이용하여 줄눈 콘크리트 포장의 콘크리트 슬래브, 하부층, 다웰바를 모사한다. 하중변환 부분에서는 기존의 연속체 요소에 대한 하중변환 알고리듬을 수정/적용하여 요소망에 제약을 받지 않고 다양한 하중 조건을 해석한다. 또한 프로그램은 하중변환 알고리듬을 적용하여 해석을 수행하는 등분포 하중 이외에, 집중하중. 온도하중, 자중 등을 고려할 수 있는 특징이 있다. 개발된 프로그램의 특성을 분석하기 위한 민감도 분석 결과 하중크기 및 위치와 콘크리트 슬래브의 두께가 포장의 거동에 가장 큰 영향을 미치는 인자로 분석되었으며 이는 Westergaard 계산식, ILLISLAB과 유사한 결과이다.

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Corona Discharge Characteristics and Particle Losses in a Unipolar Corona-needle Charger Obtained through Numerical and Experimental Studies

  • Intra, Panich;Yawootti, Artit;Rattanadecho, Phadungsak
    • Journal of Electrical Engineering and Technology
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    • 제12권5호
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    • pp.2021-2030
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    • 2017
  • In this paper, the unipolar corona-needle charger was developed and its capabilities were both numerically and experimentally investigated. The experimental corona discharges and particle losses in the charger were obtained at different corona voltage, aerosol flow rate and particle diameter for positive and negative coronas. Inside the charger, the electric field and charge distribution and the transport behavior of the charged particle were predicted by a numerical simulation. The experimental results yielded the highest ion number concentrations of about $1.087{\times}10^{15}ions/m^3$ for a positive corona voltage of about 3.2 kV, and $1.247{\times}10^{16}ions/m^3$ for a negative corona voltage of about 2.9 kV, and the highest $N_it$ product for positive and negative coronas was found to about $7.53{\times}10^{13}$ and $8.65{\times}10^{14}ions/m^3$ s was occurred at the positive and negative corona voltages of about 3.2 and 2.9 kV, respectively, and the flow rate of 0.3 L/min. The highest diffusion loss was found to occur at particles with diameter of 30 nm to be about 62.50 and 19.33 % for the aerosol flow rate of 0.3 and 1.5 L/min, respectively, and the highest electrostatic loss was found to occur at particles with diameters of 75 and 50 nm to be about 86.29 and 72.92 % for positive and negative corona voltages of about 2.9 and 2.5 kV, respectively. The numerical results for the electric field distribution and the charged particles migration inside the charger were used to guide the description of the electric field and the behavior of charged particle trajectories to improve the design and refinement of a unipolar corona-needle charger that otherwise could not be seen from the experimental data.

서스펜션 플라즈마 스프레이 코팅법으로 제조된 Ytterbium Silicate 환경차폐코팅의 상형성 및 구조에 미치는 증착인자 및 원료혼합 공정의 영향 (Effect of Deposition Parameter and Mixing Process of Raw Materials on the Phase and Structure of Ytterbium Silicate Environmental Barrier Coatings by Suspension Plasma Spray Method)

  • 류호림;최선아;이성민;한윤수;최균;남산;오윤석
    • 한국분말재료학회지
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    • 제24권6호
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    • pp.437-443
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    • 2017
  • SiC-based composite materials with light weight, high durability, and high-temperature stability have been actively studied for use in aerospace and defense applications. Moreover, environmental barrier coating (EBC) technologies using oxide-based ceramic materials have been studied to prevent chemical deterioration at a high temperature of $1300^{\circ}C$ or higher. In this study, an ytterbium silicate material, which has recently been actively studied as an environmental barrier coating because of its high-temperature chemical stability, is fabricated on a sintered SiC substrate. $Yb_2O_3$ and $SiO_2$ are used as the raw starting materials to form ytterbium disilicate ($Yb_2Si_2O_7$). Suspension plasma spraying is applied as the coating method. The effect of the mixing method on the particle size and distribution, which affect the coating formation behavior, is investigated using a scanning electron microscope (SEM), an energy dispersive spectrometer (EDS), and X-ray diffraction (XRD) analysis. It is found that the originally designed compounds are not effectively formed because of the refinement and vaporization of the raw material particles, i.e., $SiO_2$, and the formation of a porous coating structure. By changing the coating parameters such as the deposition distance, it is found that a denser coating structure can be formed at a closer deposition distance.

지각된 노인 낙인 척도 개발을 위한 탐색적 연구 (An Exploratory Study For Developing Perceived Elderly Stigma Scale)

  • 안순태;오현정;정순둘
    • 한국노년학
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    • 제37권2호
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    • pp.309-328
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    • 2017
  • 본 연구는 지각된 노인 낙인 척도개발을 목적으로 수행되었다. 노인 인구에 대한 타 세대의 부정적 고정관념과 낙인은 노인의 삶의 질 저하와 건강에 부정적 영향을 미치는 요인임에도 불구하고 이를 체계적으로 측정하기 위한 척도는 아직 개발되지 않은 실정이다. 본 연구는 국내의 사회문화적 성격을 반영한 노인 낙인 척도개발을 위해 기존 문헌과 43명의 젊은 성인들로부터 추출한 항목들을 바탕으로 총 34개의 항목으로 이루어진 척도를 1차로 구성하였다. 그리고 전문가 자문과 내부 연구자 회의를 거쳐 총 31개의 항목으로 구성된 지각된 노인 낙인 척도를 잠정 개발하였다. 척도의 차원성, 신뢰도, 타당도를 확인하기 위해 252명의 65세 미만 성인남녀를 대상으로 지각된 노인 낙인, 연령주의, 노인차별주의, 노인 태도, 노인 공경을 측정하였다. 탐색적 요인분석 결과, 28개의 항목으로 최종 구성된 지각된 노인 낙인 척도는 '기질', '능력', '외모', '권위주의적 의존', '자식집착'의 5개 차원으로 구분되었으며, 각 차원의 세부 항목들은 적절한 내적 합치도를 보였다. 지각된 노인 낙인 척도는 이론적으로 정적 관계에 있는 연령주의, 노인차별주의와는 정적 상관관계를, 개념적으로 반대에 있는 노인 태도와는 부적 상관관계를 보였다. 한편, 노인 공경 인식과는 유의미한 관계를 보이지 않았다. 본 연구는 세대통합을 위한 노인 낙인 해소 연구와 실무의 기초가 되는 척도 개발을 통해 노인 낙인의 현주소를 확인하고 향후 효과적인 정책 변화와 홍보 전략 수립의 이론적 근거를 마련하는 데 기여할 것이다.

Nb 첨가 합금강의 미세조직과 결정립 조대화 거동 (Microstructure and Abnormal Grain Coarsening Behavior of Nb-microalloyed Steel)

  • 김성진;최정후;김민희;류민환;박재현;신재혁;신우철;김민욱;정재길;이석재
    • 열처리공학회지
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    • 제37권4호
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    • pp.155-162
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    • 2024
  • SCr420H steel which is commonly utilized for automotive components requires the carburizing heat treatment process. Abnormal grain growth during this treatment significantly affects the mechanical properties of the steel parts. Consequently, a process designed to prevent abnormal grain growth at certain elevated temperatures is essential. For enhanced grain refinement, we considered the addition of Nb in SCr420H steel. The experimental condition of the carburizing heat treatment involved reheating the steel sample to temperatures between 940℃ and 1080℃. Using scanning electron microscopy, we examined the microstructure of specimens treated with the secondary solution, revealing an organization of bainite and ferrite. Transmission electron microscopy was utilized to determine the type, shape, and size of the carbonitrides, showing a high fraction of AlN at the secondary solution treatment temperature of approximately 1050℃ and of (Nb,Ti)(C,N) around 1200℃. AlN particles measured about 100 nm and (Nb,Ti)(C,N) about 50 nm. Optical microscopy was utilized to assess grain size variations at different secondary solution treatment temperatures. It is noted that the temperature at which abnormal grain coarsening occurred rose with increasing secondary solution treatment temperatures, indicating a greater influence of (Nb,Ti)(C,N) with higher heat treatment temperatures. This research provides reference data for preventing abnormal grain growth in Nb-added low alloy steels undergoing carburizing heat treatment.

KB국민카드의 빅데이터를 활용한 실시간 CRM 전략: 스마트 오퍼링 시스템 (Real-time CRM Strategy of Big Data and Smart Offering System: KB Kookmin Card Case)

  • 최재원;손봉진;임현아
    • 지능정보연구
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    • 제25권2호
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    • pp.1-23
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    • 2019
  • 소비자의 니즈가 다양해지면서 데이터 마이닝과 고도화된 고객관계관리(CRM) 기법을 활용한 체계적인 마케팅 서비스를 제공하는 기업이 증가하고 있으며, KB국민카드는 고객의 결제 데이터 등을 활용하여 고객 개개인의 니즈를 충족시키고 소비자의 평생가치를 극대화하기 위한 전략을 강조하고 있다. 실시간으로 고객의 카드이용과 고객 행동, 위치 정보 등을 감지하여 진행하는 고효율 마케팅 운영시스템인 스마트 오퍼링 시스템을 운영하고 있으며, 다양한 앱 등과 결합하여 더욱 정교화된 서비스를 제공하고 있다. KB국민카드는 스마트 오퍼링 시스템의 성공과 지속적인 성장을 위해 고도화되고 있는 ICT 기술과 인재 확보를 위한 투자를 진행해야 하며, 장기적인 관점에서의 수익확보를 위한 전략을 확립하여 체계적인 진행이 필요하다. 특히, 프라이버시 침해와 개인정보 유출 등의 문제가 쟁점이 되는 현재 상황에서 고객 정보를 활용한 마케팅에 대한 고객의 인식을 긍정적으로 유도하고, 보안성을 강조하는 기업 이미지 형성을 위한 노력이 필요하다. 본 연구는 CRM 전략의 변화 과정을 통해 현재 카드사의 실시간 CRM 전략을 KB 국민카드의 빅데이터 활용전략과 마케팅 활동을 통해 확인하고자 한다.