• 열처리공학회지
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• 제34권1호
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• pp.1-9
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• 2021

The martensitic stainless steel has excellent corrosion resistance and higher strength by quenching and tempering heat treatment. It has been widely used as blade material due to these properties. The hardness and impact toughness of martensitic stainless steel depended strongly on tempering temperatures. The 12Cr martensite stainless steel (SS 410) tempered about 540℃ showed temper embrittlement. To know cause of temper embrittlement in terms of phase identification, a detailed analysis of electron diffraction patterns during TEM observations has been carried out on the <110>α-Fe and <113>α-Fe zone axes for temper embrittlement specimen. The double electron diffraction spots at 1/3(211) and 2/3(211) positions were observed. The lattice space between individual diffraction spots was about 3.5 Å and this value coincide with three times to α-bcc lattice space (1.17 Å). The area which found double diffraction spots was judged metastable "zone" similar to the omega phase and induced embrittlement of SS410 material.

• 대한원격탐사학회지
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• 제37권1호
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• pp.69-84
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• 2021

Awareness of boats is a main issue in areas of fishery management, illegal fishing, and maritime traffic, etc. For the awareness, Automatic Identification System (AIS) and Vessel-Pass System (V-PASS) have been widely used to collect the boat-related information. However, only using these systems makes it difficult to collect the accurate information. Recently, satellite-based data has been increasingly used as a cooperative system. In 2015, U.S. National Oceanic and Atmospheric Administration (NOAA) developed a boat detection algorithm using Visible Infrared Imaging Radiometer Suite (VIIRS) Day & Night Band (DNB) data. Although the detections have been widely utilized in many publications, it is difficult to estimate the night-time fishing boats immediately. Particularly, it is difficult to estimate the threshold due to the lunar irradiation effect. This effect must be corrected to apply a single specific threshold. In this study, the moon phase was considered as the main frequency of this effect. Considering the moon phase, relational expressions are derived and then used as offsets for relative correction. After the correction, it shows a significant reduction in the standard deviation of the threshold compared to the threshold of NOAA. Through the correction, this study can set a constant threshold every day without determination of different thresholds. In conclusion, this study can achieve the detection applying the single specific threshold regardless of the moon phase.

• Educational Technology International
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• 제20권1호
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• pp.25-55
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• 2019

The core purpose of the study is to develop and validate an ADDIE model based instructional model for English Language Teaching (ELT) in early childhood classroom in Bangladesh as an aid to teachers to reconstruct their knowledge and experience more strategically, and for them to design and implement their instruction more structurally. This study is developmental in nature which has been divided in five phases as follows. Phase I: Existing methods and instructional strategy review, Phase II: Instructional model development, Phase III: Delphi 1st round, Phase IV: Delphi 2nd round and Phase V: Model validation. After reviewing relevant literature and existing strategy in phase I, the 1st version of instructional model is made phase II. Next in phase III and phase IV, two rounds of Delphi have been conducted where experts related to different concerning areas of this study reviewed the 1st version and gradually the final version of the instructional model is made. Finally, the instructional model for English teachers of early childhood classroom in Bangladesh got validated by the same Delphi panelists in Phase V. In respect with each phases of ADDIE, the instructional model elaborates the 1) representative key points, 2) instructors' activities prescribed for the instructors, 3) supporting strategies. Both the conceptual and procedural models are included in this study for clearer identification of the whole process. Lastly the study provides some recommendations for instructors and practitioners on choosing the instructional model like doing prior need analysis, incorporating teacher training programs, training students, keeping on researching for finding effective teaching technique and tools and being open to changes etc. In addition, the study also acknowledges its limitations like not being able to consider the psychological factors due to time limitation. Finally, at the end the study points out the areas that welcome further research.

• 한국제4기학회지
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• 제18권2호통권23호
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• pp.3-3
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• 2004

One short core with length of 146cm(HB-107, at coordinates of $N51^{\circ}$11'37.5";$E100^{\circ}$24'45.6", from 229m water depth was subject of the present study. The sub-samples of the core were analyzed for the water contents (WC%), biogenic silica, identification of the main phases, grain size distribution, geochemistry and some physical properties of sediment(Wet density and Magnetic susceptibility) with aims of recording palaeo-environmental changes in Northem Mongolia. The evaluation of the geochemical and mineralogical proxies on palaeo-climated and palaeo-environmental changes are based on comparison to the behvior of biogenic silica through core, as later one had been showed itself, as good indicator of the climate and environmental fluctuation. Age model of the investigating core based on previously C 14 dated core HB105 taken from the central part of the Hobsgol Lake and the result had been published elsewhere. The core consists of two litological varieties : upper diatomaceous silt, lower clay. According to the age model the upper diatomaceous silt formed during the Holocene, lower caly-during the late Pleistocene glacial period. The geochemistry and phase identification analysis on the core samples are resulted in determining main minerals that form the bottom sediments and their geochemistry. The main include quartz, felspar, muscovite, clinochlore, amphibole and carbonate phase(dolomite and calcite). Through the core not only occur the relative quantitative changes of the main phases, but also happen that the carbonate phase completely disappear in diatomaceous silt. This is believed to be related to the lake water salinity changes, which occurred during the trassition period from Pleistocene glacial-to the Holocene interglacial. These abrupt changes of the mineralogy have been clearly traced in geochemistry of sediments, specially in calcium concentration, which is high in lower clay and low in upper diatomaceous silt. That means, geochemistry and mineralogy of the bottom sediments can be used as proxy data on palaeo-climate and palaeo-environmental changes.

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권7호
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• pp.560-570
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• 2009

RFID 기술은 바코드를 대체할 자동인식 기술로서 인식 속도가 빠르고 비접촉 방식으로 오염에 강한 장점을 가지고 있다. 그러나 RFID 기술의 대중화를 위해서는 선결되어야할 난제들이 있다. 이 중 본 논문에서는 다중 태그 식별 문제를 다룬다. 다중 태그를 인식하고 충돌을 방지하는 문제는 RFID 시스템의 성능에 직접적인 영향을 준다. 본 논문에서는 기존의 알고리즘들을 분석하고 개선하된 새로운 태그 충돌 방지 알고리즘을 제안한다. 제안된 알고리즘은 ALOHA 기반 알고리즘과 QT 기반 알고리즘의 하이브리드 형태로 분배와 인식 과정에 적합한 특성들을 혼합하여 구성하였다. 분배 과정에서는 ALOHA 방식을 이용하여 인식과정에서 한 프레임에 인식해야할 태그 수를 줄였다. 이는 Tree 의 깊이가 깊어져 지연을 일으키는 문제를 해결하였다. 인식 과정에서는 QT 기반 알고리즘을 이용하여, ALOHA 방식에서 모든 태그를 인식하지 못하는 문제를 해결하였다. 또한, 실제 RFID 환경을 분석하여 더 좋은 성능을 보이도록 태그ID 의 역순으로 인식하는 QTR 알고리즘을 적용하였다. 본 논문에서 제안하는 FQTR 알고리즘은 시뮬레이션 결과 기존의 알고리즘에 비해 뛰어난 성능을 보여주었다.

• 한국컴퓨터정보학회논문지
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• 제24권10호
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• pp.65-70
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• 2019

최근 선박자동식별장치의 도입으로, 육상에서 선박위치, 침로, 속력, 선박종류 등 선박 항적데이터 수집이 가능해 졌다. 본 연구는 맵리듀스 알고리즘을 분산처리 환경에 적용하여 선박 항적데이터를 효율적으로 처리하는 방법을 제안한다. 제안하는 방법은 데이터 전처리 단계, 맵핑 단계, 리듀싱 단계로 나뉘어져 있다. 데이터 전처리 단계는 선박의 동적 및 정적 데이터를 통합하고, 비관심지역의 선박정보는 필터링한다. 맵핑 단계는 선박 위치를 지오해시 코드로 변환하여 맵리듀스의 키 데이터로 할당하고, 선박의 ID는 값 데이터로 분리한다. 리듀싱 단계에서는 키 데이터가 같은 키-값 쌍 데이터를 추출하여 해당 그리드에서 선박의 수를 계산하여 시각화 한다. 제안한 방법은 항적데이터 분석에 있어서 기존 프로그램 성능에 비해 1~4배 성능 개선이 되었다.

• 분석과학
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• 제32권5호
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• pp.163-172
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• 2019

Methamphetamine (MA) is currently the most abused illicit drug in Korea and its major metabolite is amphetamine (AP). As MA exist as two enantiomers with the different pharmacological properties, it is necessary to determine their respective amounts in a sample. Thus a chiral stationary phase liquid chromatography-tandem mass spectrometric (LC-MS/MS) method was developed for identification and quantification of d-MA, l-MA, d-AP, and l-AP in human urine. Urine sample ($200{\mu}L$) was diluted with pure water and purified using solid-phase extraction (SPE) cartridge. A $5-{\mu}L$ aliquot of SPE treated sample solution was injected into LC-MS/MS system. Chiral separation was carried out on the Astec Chirobiotic V2 column with an isocratic elution for each enantiomer. Identification and quantification of enantiomeric MA and AP was performed using multiple reaction monitoring (MRM) detection mode. Linear regression with a $1/x^2$ as the weighting factor was applied to generate a calibration curve. The linear ranges were 25-1000 ng/mL for all compounds. The intra- and inter-day precisions were within 3.6 %, while the intra- and inter-day accuracies ranged from -5.4 % to 11.8 %. The limits of detection were 2.5 ng/mL (d-MA), 3.5 ng/mL (l-MA), 7.5 ng/mL (d-AP), and 7.5 ng/mL (l-AP). Method validation parameters such as selectivity, matrix effect, and stability were evaluated and met acceptance criteria. The applicability of the method was tested by the analysis of genuine forensic urine samples from drug abusers. d-MA is the most common compound found in urine and mainly used by abusers.

• Journal of Communications and Networks
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• 제5권2호
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• pp.157-166
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• 2003

This paper deals with the problem of channel identification for Single Input Multiple Output (SIMO) slow fading channels using clustering algorithms. Due to the intrinsic memory of the discrete-time model of the channel, over short observation periods, the received data vectors of the SIMO model are spread in clusters because of the AWGN noise. Each cluster is practically centered around the ideal channel output labels without noise and the noisy received vectors are distributed according to a multivariate Gaussian distribution. Starting from the Markov SIMO channel model, simultaneous maximum ikelihood estimation of the input vector and the channel coefficients reduce to one of obtaining the values of this pair that minimizes the sum of the Euclidean norms between the received and the estimated output vectors. Viterbi algorithm can be used for this purpose provided the trellis diagram of the Markov model can be labeled with the noiseless channel outputs. The problem of identification of the ideal channel outputs, which is the focus of this paper, is then equivalent to designing a Vector Quantizer (VQ) from a training set corresponding to the observed noisy channel outputs. The Linde-Buzo-Gray (LBG)-type clustering algorithms [1] could be used to obtain the noiseless channel output labels from the noisy received vectors. One problem with the use of such algorithms for blind time-varying channel identification is the codebook initialization. This paper looks at two critical issues with regards to the use of VQ for channel identification. The first has to deal with the applicability of this technique in general; we present theoretical results for the conditions under which the technique may be applicable. The second aims at overcoming the codebook initialization problem by proposing a novel approach which attempts to make the first phase of the channel estimation faster than the classical codebook initialization methods. Sample simulation results are provided confirming the effectiveness of the proposed initialization technique.

• 한국지진공학회논문집
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• 제3권4호
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• pp.47-60
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• 1999

건축구조물의 진동제어 시스템의 안정성과 효율성은 대상 시스템의 수학적 모델의 정확성에 크게 좌우 된다. 본 연구에서는 3층의 축소 건물모델과 소형 AMD(active mass damper)를 대상으로 각각의 상태방정식 모델을 시간영역에서의 시스템 식별 기법인 OKID(observer/Kalman filter identification)를 대상으로 각각의 상태방정식 모델을 시간영역에서의 시스템 식별 기법인 입력과 AMD의 이동질량체의 설치층에 대한 상대가속도 입력에 대하여 시스템 식별을 개별적으로 수행한 뒤 두 개의 상태방정식을 모델 응축 과정을 통해 통합하였다. AMD의 시스템 식별은 모터제어 신호를 입력으로 AMD 이동질량의 설치층에 대한 상대가속도를 출력으로 선정하여 수행하였으며 큰 감쇠비와 위상지연 현상을 확인할 수 있었다 결과적으로 얻어진 건물 모델 및 AMD의 이동질량의 설치층에 대한 상대가속도를 출력으로 선정하여 수행하였으며 큰 감쇠비와 위상지연 현상을 확인할수 있었다. 결과적으로 얻어진 건물 모델 및 AMD의 상태방정식 모델로부터 재구성한 전달함수와 시간이력은 실험에서의 측정치와 잘 일치하였다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제11권1호
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• pp.1-14
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• 2005

컨포넌트 개발 프로세스에서 재사용 가능한 독립적인 컴포넌트의 식별은 가장 중요한 작업이면서 어려운 작업이다. 따라서 현존하는 컴포넌트 개발 방법론들에서는 컴포넌트 식별을 위해서 체계적이고 명확한 기준이 제시되지 않아 대다수 개발자의 직관과 경험에 의존하고 있다. 그 결과 평이한 개발자에 의해서 소프트웨어의 재사용 단위인 컴포넌트를 식별하기가 쉽지 않다. 따라서 본 논문에서는 컴포넌트를 용이하게 식별할 수 있도록 유스케이스 다이어그램, 클래스 다이어그램 그리고 시퀀스 다이어그램 등 도메인 모델을 기반으로 컨포넌트를 식별하는 기준과 방법을 제시한다. 본 논문에서는 2단계 즉, 시스템 컨포넌트 식별과 비즈니스 컴포넌트 식별을 통하여 컴포넌트론 식별하는 방법을 제시한다. 특히, 제안된 기법에서는 컴포넌트 식별에 있어서 구조적 특성뿐만 아니라 메소드 호출 유형과 방향에 따른 의존성 특성을 함께 괴려하고 있다 이러한 제안된 기법의 실용성을 검증하기 위해 사례 연구와 기존 식별 방법과의 비교 분석 및 평가를 제시한다.