• 제목/요약/키워드: YoungChu

검색결과 773건 처리시간 0.025초

밀링공정중 절삭조건 변화에 따른 절삭력 추종제어를 위한 DSP보드 응용 (DPS Board Appication for Regulation of Cutting Force under Varying Cutting Conditions during Milling Process)

  • 오영탁;권원태;주종남
    • 한국정밀공학회지
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    • 제16권3호통권96호
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    • pp.38-46
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    • 1999
  • Spindle motor current is used to estimate the cutting force indirectly and control the feed rate for the cutting force regulation. The proposed algorithm is implemented to a DSP board based hardware for the industrial application. The software to make POP terminal communicate with the DSP board and POP server is coded under Windows 95 environment. Experiments under varying cutting conditions show that the DSP board recognizes the information of installed cutting tool and cutting conditions delivered from the POP server to use them for the proper control of the feed rate. The cutting force is regulated well during machining of tapered or stepped workpiece and circular shaped workpiece as well.

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제주산 양식넙치(Paralichthy olivaceus)로부터 분리된 $\beta$-용혈성 연쇄구균($\beta$-Streptococcus sp.)의 특성

  • 허문수;송춘복;이제희;여인규;전유진;이정재;정상철;이기완;노섬;최광식;이영돈
    • 한국어업기술학회:학술대회논문집
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    • 한국어업기술학회 2001년도 춘계 수산관련학회 공동학술대회발표요지집
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    • pp.317-318
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    • 2001
  • 제주도의 넙치양식은 1986년부터 종묘생산기술개발을 계기로 육상양식이 시작되어 1997년 12월 말에는 5,500여톤을 생산하기에 이르렀다. 넙치양식 업체의 수도 최근에 와서 급격히 증가하고 있으며 시설규모도 소규모에서 대규모로 전환하는 경향이다. 또한 사육방법도 고밀도로 사육하는 경우가 많고 부주의한 사육관리 등으로 각종 질병이 발생되고 있다(Lee and Ha, 1991). (중략)

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Dynamic Rheological Comparison of Selected Gum Solutions

  • Choi, Su-Jin;Chu, So-Young;Yoo, Byoung-Seung
    • Food Science and Biotechnology
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    • 제15권3호
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    • pp.474-477
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    • 2006
  • Dynamic rheological properties of commercial 0.8, 1.0, and 1.2% gums [carboxylmethylcellulose (CMC), guar gum, hydroxypropylmethylcellulose (HPMC), tara gum, and xanthan gum], which can be dissolved in cold water, were investigated by small-deformation oscillatory measurements. Magnitudes of storage (G') and loss (G") moduli increased with increasing concentration of gum solutions except for xanthan gum. Guar gum exhibited greatest G' and G" values among all gums except for G' value at 0.8% concentration. Slopes of G' and G" decreased with increasing concentration of gum solutions except for xanthan gum. Tan ${\delta}$ (G"/G') values decreased with increasing concentration of gum solutions except for xanthan gum. Tan ${\delta}$ values of xanthan gum solutions were much lower than those of other gum solutions, indicating that xanthan gum solutions were predominantly more elastic than viscous.

International Outsourcing, Unemployment and Welfare: A Re-Examination

  • Choi, Jai-Young;Yu, Eden S.H.
    • East Asian Economic Review
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    • 제23권3호
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    • pp.261-284
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    • 2019
  • This paper explores the ramifications of international outsourcing on unemployment, income distribution and welfare, which is an important but yet unresolved issue. Using the well-known Harris-Todaro (1970) model of sector-specific unemployment, it shows that the effects of outsourcing on employment, income-distribution and welfare depend on the sector in which the outsourcing occurs, whereby sectoral factor intensities, unemployment-outsourcing response and the dynamic stability condition play crucial roles. In particular, outsourcing in the manufacturing (primary) sector widens (narrows) income inequality by increasing (decreasing) the sectoral wage gap and raising (not affecting) the rental income of the capital owners in the economy. Moreover, outsourcing in the manufacturing (primary) sector can be welfare-decreasing (is always welfare-increasing) due to its negative (positive) employment effect mitigating (reinforcing) the primary gains from the outsourcing.

딥러닝을 이용한 IOT 기기 인식 시스템 (A Deep Learning based IOT Device Recognition System)

  • 추연호;최영규
    • 반도체디스플레이기술학회지
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    • 제18권2호
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    • pp.1-5
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    • 2019
  • As the number of IOT devices is growing rapidly, various 'see-thru connection' techniques have been reported for efficient communication with them. In this paper, we propose a deep learning based IOT device recognition system for interaction with these devices. The overall system consists of a TensorFlow based deep learning server and two Android apps for data collection and recognition purposes. As the basic neural network model, we adopted Google's inception-v3, and modified the output stage to classify 20 types of IOT devices. After creating a data set consisting of 1000 images of 20 categories, we trained our deep learning network using a transfer learning technology. As a result of the experiment, we achieve 94.5% top-1 accuracy and 98.1% top-2 accuracy.

일반화된 벡터 공간 모델을 적용한 주관식 문제 채점 보조 시스템 (Subjective Tests Sub-System Applied with Generalized Vector Space Model)

  • 오정석;추승우;김유섭;이재영
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 춘계학술발표대회
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    • pp.965-968
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    • 2004
  • 기존의 주관식 문제 채점 보조 시스템은 자연어 처리의 어려움으로 인해 채점의 자동화가 어려워 전자우편 등을 통하여 채점자에게 채점 의뢰를 하는 수준이었다. 본 논문에서는 이러한 문제점을 해결하기 위하여 문제 공간을 벡터 공간으로 정의하고 벡터를 구성하는 각 자질간의 상관관계를 고려한 방법을 적용하였다. 먼저 학습자가 답안을 작성할 때 동의어 사용을 한다는 가정하에 출제자가 여러 개의 모범 답안을 작성하고 이들 답안을 말뭉치에 첨가하여 구성한 다음 형태소 분석기를 통하여 색인을 추출한다. 그리고 학습자가 작성한 답안 역시 색인을 추출한 다음, 이들 색인들을 각 자질로 정의한 벡터를 구성한다. 이렇게 구성된 벡터들을 이용하여 답안들간 유사도 측정을 하고, 유사도 범위에 따라 답안을 자동으로 정답과 오답으로 분류하려는 시스템을 제안한다. 170 문항의 주관식 문제을 제안된 방법으로 실험하여, 기존 모델에 비해 성능과 신뢰성 향상을 이룰 수 있었다.

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중국공유차량 플랫폼의 서비스품질과 신뢰도에 관한 연구 (A Study on Effects of Service Quality and Confidence on Satisfaction in China Vehicle Sharing Platforms - Focused on DI DI Chu Xing -)

  • 이은지;문재영;여현진
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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    • pp.199-200
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    • 2019
  • 본 연구는 현재 중국인들이 자동차 공유 플랫폼에 있어서 사용하고자 하는 의도에 영향을 주는 요인이 무엇인지를 알아보고자 한다. 그 전에 오늘날 공유경제와 자동차공유경제에 대한 전반적인 상황을 알아보고 중국시장에서의 공유경제와 자동차공유경제에 대해 파악하기 위하여 디디추싱 회사와 관련한 데이터를 웹으로부터 수집하여 진행하고자 한다. 또한 수집된 데이터를 구조방정식모형을 이용하여 분석하고 이를 통해 발견된 결과는 추후 차량 공유 서비스를 촉진하기 위한 개선 방안을 개발하는 데 전략적 함의를 제공 할 수 있다.

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Experimental studies on elastic properties of high density polyethylene-multi walled carbon nanotube nanocomposites

  • Fattahi, A.M.;Safaei, Babak;Qin, Zhaoye;Chu, Fulei
    • Steel and Composite Structures
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    • 제38권2호
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    • pp.177-187
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    • 2021
  • The effect of nanoparticle volume fraction on the elastic properties of a polymer-based nanocomposite was experimentally investigated and the obtained results were compared with various existing theoretical models. The nanocomposite was consisted of high density polyethylene (HDPE) as polymeric matrix and 0, 0.5, 1 and 1.5 wt.% multi walled carbon nanotubes (MWCNTs) prepared using twin screw extruder and injection molding technique. Nanocomposite samples were molded in injection apparatus according to ASTM-D638 standard. Therefore, in addition to morphological investigations of the samples, tensile tests at ambient temperature were performed on each sample and stress-strain plots, elastic moduli, Poisson's ratios, and strain energies of volume units were extracted from primary strain test results. Tensile test results demonstrated that 1 wt.% nanoparticles presented the best reinforcement behavior in HDPE-MWCNT nanocomposites. Due to the agglomeration of nanoparticles at above 1 wt.%, Young's modulus, yielding stress, fracture stress, and fracture energy were decreased and Poisson's ratio and failure strain were increased.

전기자동차 시스템 모델링 및 주행 환경에 따른 배터리 응답 특성 연구 (Battery Response Characteristics According to System Modeling and Driving Environment of Electric Vehicles)

  • 추용주;박준영;박광민;이승엽
    • 대한임베디드공학회논문지
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    • 제17권2호
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    • pp.85-92
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    • 2022
  • Currently, various researches on electric vehicle battery systems have been conducted from the viewpoint of safety and performance for SoC, SoH, etc. However, it is difficult to build a precise electrical model of a battery system based on the chemical reaction and SoC prediction. Experimental measurements and predictions of the battery SoC were usually performed using dynamometers. In this paper, we construct a simulation model of an electric vehicle system using Matlab Simulink, and confirm the response characteristics based on the vehicle test driving profiles. In addition, we show that it is possible to derive the correlation between the SoC, voltage, and current of the battery according to the driving time of the electric vehicle in conjunction with the BMS model.