• 제목/요약/키워드: Support Layer

검색결과 838건 처리시간 0.033초

장수명 실증주택 인필 시공: 이론과 현실적 한계 (Long-Life Demonstration Housing Infill Construction : Theory and Practical Limits)

  • 김수암;양현정
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2019년도 춘계 학술논문 발표대회
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    • pp.89-90
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    • 2019
  • The purpose of this study is to clarify the difference between design and construction conditions based on theory for support (S) and infill (I) distinction and separation in long-life housing, and to search for future direction. To do this, the SI theory is summarized and the construction situation is examined in the demonstration house and the differences and limitations are analyzed. In order to realize SI separation in Korea, it is necessary to set the position of pipe shafts for sewage and drainage, buried in the structure and Ondol layer of the private pipes, buried various wires in the inner wall, and fixing the position of the inner wall.

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열적 수직 구조의 장기 변화로부터 유추한 동해 심층수 형성 모드의 변환: 1차원 모델 연구 (Mode Change of Deep Water Formation Deduced from Slow Variation of Thermal Structure: One-dimensional Model Study)

  • 채영기;승영호;강석구
    • Ocean and Polar Research
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    • 제27권2호
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    • pp.115-123
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    • 2005
  • Recently, it has been observed in the East Sea that temperature increases below the thermocline, and dissolved oxygen increase in the intermediate layer but decrease below it. The layer of minimum dissolved oxygen deepens and the bottom homogeneous layer in oxygen becomes thinner. It emerges very probably that these changes are induced by the mode change of deep water formation associated with global warming. To further support this hypothesis, a one-dimensional model experiment is performed. First, a thermal profile is obtained by injecting a cold and high oxygen deep water into the bottom layer, say the bottom mode. Then, two thermal profiles are obtained from the bottom mode profile by assuming that either all the deep water introduce into the intermediate layer has been initiated, say the intermediate mode, or that only a part of the deep water has been initiated into the intermediate layer, say the intermediate-bottom mode. The results, from the intermediate-bottom mode experiment are closest to the observed results. They show quite well the tendency for oxygen to increase in the intermediate layer and the simultaneous thinning of the bottom homogeneous layer in oxygen. Therefore, it can be said that the recently observed slow variation of the thermal structure might be associated with changes in the deep water formation from the bottom mode to the intermediate-bottom mode.

오차항과 러닝 기법을 활용한 예측진단 시스템 개선 방안 연구 (A Study on the Prediction Diagnosis System Improvement by Error Terms and Learning Methodologies Application)

  • 김명준;박영호;김태규;정재석
    • 품질경영학회지
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    • 제47권4호
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    • pp.783-793
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    • 2019
  • Purpose: The purpose of this study is to apply the machine and deep learning methodology on error terms which are continuously auto-generated on the sensors with specific time period and prove the improvement effects of power generator prediction diagnosis system by comparing detection ability. Methods: The SVM(Support Vector Machine) and MLP(Multi Layer Perception) learning procedures were applied for predicting the target values and sequentially producing the error terms for confirming the detection improvement effects of suggested application. For checking the effectiveness of suggested procedures, several detection methodologies such as Cusum and EWMA were used for the comparison. Results: The statistical analysis result shows that without noticing the sequential trivial changes on current diagnosis system, suggested approach based on the error term diagnosis is sensing the changes in the very early stages. Conclusion: Using pattern of error terms as a diagnosis tool for the safety control process with SVM and MLP learning procedure, unusual symptoms could be detected earlier than current prediction system. By combining the suggested error term management methodology with current process seems to be meaningful for sustainable safety condition by early detecting the symptoms.

충격 프레팅에 의한 증기발생기 세관 마모손상 진행모델 (Wear Progress Model by Impact Fretting in Steam Generator Tube)

  • 이정근;박치용;김태룡;조선영
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.1684-1689
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    • 2007
  • Fretting wear is one of the important degradation mechanisms of steam generator tubes in the nuclear power plants. Especially, impact fretting wear occurred between steam generator tubes and tube support plates or anti-vibration bar. Various tests have been carried out to investigate the wear mechanisms and to report the wear coefficients. Those are fruitful to get insight for the wear damage of steam generator tubes; however, most wear researches have concentrated on sliding wear of the steam generator tubes, which may not represent the wear loading modes in real plants. In the present work, impact fretting tests of steam generator tube were carried out. A wear progression model for impact-fretting wear has been investigated and proposed. The proposed wear progression model of impact-fretting wear is as follows; oxide film breaking step at the initial stage, and layer formation step, energy accumulation step and finally particle torn out step which is followed by layer formation in the stable impact-fretting progress. The wear coefficient according to the work-rate model has been also compared with one between tube and support.

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개방형 분산처리 환경에서의 다자간 대화형 응용서비스 및 다중 세션 관리 서비스 설계 (Design of Cooperative Interactive Application Service and Session Management Service in ODP Systemns)

  • 이종화
    • 한국정보처리학회논문지
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    • 제5권5호
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    • pp.1140-1150
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    • 1998
  • 본 논문의 목적은 여러 다른 유형의 정보를 사용하고 다자간에 공동작업을 지원하는 응용의 요구사항을 분석하고, 이러한 특성을 갖는 응용이 필요로 하는 유용한 공통 서비스를 제공함으로 개발 환경을 지원하는 데 있다. 응용 계층의 수평 서비스로서 다자간 대화형 응용 서비스와 기반 구조 계층의 지원 서비스로서 다중 세션 관리 서비스가 정의되었으며, 개방형 분산 처리 시스템의 개념과 규칙에 따라 설계되었다. 따라서, 응용 개발자들은 이 두 서비스를 이용하여 본 논문에서 고려한 특성을 갖는 응용을 구축할 수 있을 것이다.

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Two Machine Learning Models for Mobile Phone Battery Discharge Rate Prediction Based on Usage Patterns

  • Chantrapornchai, Chantana;Nusawat, Paingruthai
    • Journal of Information Processing Systems
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    • 제12권3호
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    • pp.436-454
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    • 2016
  • This research presents the battery discharge rate models for the energy consumption of mobile phone batteries based on machine learning by taking into account three usage patterns of the phone: the standby state, video playing, and web browsing. We present the experimental design methodology for collecting data, preprocessing, model construction, and parameter selections. The data is collected based on the HTC One X hardware platform. We considered various setting factors, such as Bluetooth, brightness, 3G, GPS, Wi-Fi, and Sync. The battery levels for each possible state vector were measured, and then we constructed the battery prediction model using different regression functions based on the collected data. The accuracy of the constructed models using the multi-layer perceptron (MLP) and the support vector machine (SVM) were compared using varying kernel functions. Various parameters for MLP and SVM were considered. The measurement of prediction efficiency was done by the mean absolute error (MAE) and the root mean squared error (RMSE). The experiments showed that the MLP with linear regression performs well overall, while the SVM with the polynomial kernel function based on the linear regression gives a low MAE and RMSE. As a result, we were able to demonstrate how to apply the derived model to predict the remaining battery charge.

충격 프레팅에 의한 증기발생기 세관 마모손상 진행모델 (Wear Progress Model by Impact Fretting in Steam Generator Tube)

  • 박치용;이정근;김태룡
    • 대한기계학회논문집A
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    • 제32권10호
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    • pp.817-822
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    • 2008
  • Fretting wear is one of the important degradation mechanisms of steam generator tubes in the nuclear power plants. Especially, impact fretting wear occurred between steam generator tubes and tube support plates or anti-vibration bar. Various tests have been carried out to investigate the wear mechanisms and to report the wear coefficients. Those are fruitful to get insight for the wear damage of steam generator tubes; however, most wear researches have concentrated on sliding wear of the steam generator tubes, which may not represent the wear loading modes in real plants. In the present work, impact fretting tests of steam generator tube were carried out. A wear progress model for impact-fretting wear has been investigated and proposed. The proposed wear progress model of impact-fretting wear is as follows; oxide film breaking step at the initial stage, and layer formation step, energy accumulation step and finally particle torn out step which is followed by layer formation in the stable impact-fretting progress. The wear coefficient according to the work-rate model has been also compared with one between tube and support.

웹 기반 자동차용 스틸 풀리 설계 지원 시스템 (Web-based Design Support System for Automotive Steel Pulley)

  • 김형중;이경태;천두만;안성훈;장재덕
    • 한국자동차공학회논문집
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    • 제16권6호
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    • pp.39-47
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    • 2008
  • In this research, a web-based design support system is constructed for the design process of automotive steel pulley to gather engineering knowledge from pulley design data. In the design search module, a clustering tool for design data is proposed using K-means clustering algorithm. To obtain correlational patterns between design and FEA (Finite Element Analysis) data, a Multi-layer Back Propagation Network (MBPN) is applied. With the analyzed patterns from a number of simulation data, an estimation of minimum von mises can be provided for given design parameters of pulleys. The case study revealed fast estimation of minimum stress in the pulley within 12% error.

베마이트를 이용한 UF 세라믹 분리막의 제조 (Fabrication of Boehmite-based UF Ceramic Membrane)

  • 위인희;신동욱;한규성;김진호;조우석;황광택
    • 한국세라믹학회지
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    • 제51권4호
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    • pp.337-343
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    • 2014
  • A single layer ultrafiltration(UF) ceramic membrane was prepared using boehmite sol. Boehmite was synthesized using a typical sol-gel process with optimization of the viscosity, pH, molar ratio of aluminum isopropoxide(AIP) and $HNO_3$. Boehmite sol was coated on a microfiltration(MF) support using the dip-coating method. MF support was dipped into the boehmite sol with a withdrawal speed of 5 mm/s and was maintained for 10 s in the boehmite sol, resulting in a uniform UF membrane layer of $10{\mu}m$ thickness. The porosity of the obtained membrane was measured and found to be 41.2%; the pore size was found to range from 80~100 nm, corresponding to the pore size of the UF membrane. The flux of the obtained membrane was initially 540 $L/m^2h$ and approximately 85% of the initial flux was recovered using a periodic back-flushing process.

SLA를 이용한 신속 시작작업에서 최적 성형방향의 결정

  • 허정훈;이건우
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.552-558
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    • 1995
  • Stereolithography is a process used to rapidly produce polymer components directly from a computer-representation of the part. There are several considerations to be made for the efficient use of te process. Especially, the build-up orientation of part critically affect to the part accuracy, total build time and the volume of support structures. Te purpose of this study is to determine the optimal build-up part orientation for the SLA process with improving part accuracy, minimizing total build time, and the volume of supprot structures. The first factor is related to the area of surfaces which have staircase protrusions after solidification, the second factor is related to the total number of layers, and the third factor is related to the area of the surfaces which need to be supported with support structures. An algorithm is developed to calculate the staircase area with quantifying the process planning errors that the volume of materials is supposed to be removed or added to the part, and the optimal layer thickness for the SLA system whichcan hadle the variable layer thickness in different orientations achieved by rotating the given part to the specified finite directions. So the optimal part orientation is determined based on the user's selections of primary criterion and the optimal thickness of layers is calculated at any part orientations.