• 제목/요약/키워드: Space Component Factor

검색결과 84건 처리시간 0.035초

고경도 선삭에서의 표면품위에 관한 연구 (A Study on Surface Integrity in Hard Turning)

  • 이한교;신형곤;유승현;김태영
    • 한국생산제조학회지
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    • 제21권6호
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    • pp.871-877
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    • 2012
  • New materials widely used for automobile related industry, aircraft, space development area are mostly high hardness materials. The hardness value of some hardened materials is over HRC45 and machining of this hardened materials is called as hard turning. Hard turning has its advantage on processing flexibility, cycle time and tool cost reduction. Also this process obtains high efficiency in processing and precise surface roughness through application of the CBN tools. In hard turning process with CBN tool, surface integrity is the important factor for considering the design of machine part and component under high stress and load conditions. A purpose of this study is to analyze optimal condition in hard turning process of AISI 52100 steel (HRC62) with high CBN and low CBN on turning characteristics, tool wear mechanism comparison and surface integrity.

화자공간모델 진화에 근거한 연속밀도 은닉 마코프모델의 온라인 적응 (Online Adaptation of Continuous Density Hidden Markov Models Based on Speaker Space Model Evolution)

  • 김동국;김영준;김현우;김남수
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2002년도 하계학술발표대회 논문집 제21권 1호
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    • pp.69-72
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    • 2002
  • 본 논문에서 화자공간모델 evolution에 기반한 continuous density hidden Markov model (CDHMM)의 online 적응에 대한 새로운 기법을 제안한다. 학습화자의 a priori knowledge을 나타내는 화자공간모델은 factor analysis (FA) 또는 probabilistic principal component analysis (PPCA)와 같은 은닉변수모델(latent variable model)에 의해 효과적으로 나타내어진다. 은닉 변수모델은 화자공간모델뿐아니라 CDHMM 파라메터의 ajoint prior분포를 표시함으로, maximum a posteriori(MAP)적응기법에 직접 적용되어진다. 화자공간모델의 hyperparameters와 CDHMM파라메터를 동시에 순차적으로 적응하기 위해 quasi-Bayes (QB)추정 기술에 기반한 online 적응기법을 제안한다. 연속숫자음 인식과 관련된 화자적응 실험을 통해 제안된 기법은 적은 적응데이터에서 좋은 성능을 나타내며, 데이터가 증가함에 따라 성능이 지속적으로 증가함을 보여준다.

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온돌면(溫突面)의 방열량(放熱量) 산정방법(算定方法)에 관한 연구(硏究) (A Calculation Method on Heat Flux from Ondol Floor Surface)

  • 손장열;안병욱;방승기
    • 설비공학논문집
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    • 제1권2호
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    • pp.173-181
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    • 1989
  • Until recently there was a lack of reliable performance data for the design and operation of Ondol heating systems. This paper presents a calculation method on heat flux from Ondol floor surface. Total heat flux from floor consists of radiation and convection component. In order to analyse the characteristics of both radiation and convection heat flux, each surface temperature is measured and several temperatures near each wall are measured vertically and horizontally in a practical Ondol heating space. Radiation heat flux is calculated and analysed by Gebhart's Absorption Factor Method with the consideration of instantaneous radiant exchanges. Convection heat output is derived from the vertical temperature profiles near floor. The vertical temperature profiles could be expressed by nonlinear regression equation models and convection coefficients could be estimated by the equations. As a result, radiation, convection and total heat flux are suggested by the expression of difference between floor surface and room air temperature.

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Axis-Slope-Rotatable Designs for Experiments With Mixture

  • Park, Sung H.;Kim, Joo H.
    • Journal of the Korean Statistical Society
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    • 제11권1호
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    • pp.36-44
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    • 1982
  • A new design concept, called axis-slope-rotatability, is presented for the design of experiments with mixtures. This is an analogue of the Box-Hunter (1957) rotatability for second order response surface designs. By choice of design, it is possible to make the variance of the estimated slopes along the component axes constant for all axial points equidistant from the center point of the factor space. This property is called axis-slope-rotatability for mixture experiments. When the Scheffe's second degree polynomial is used, it is shown that some symmetry conditions are sufficient for axis-slope-rotatability. Several designs having this property are illustrated.

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인공지능 응용을 위한 하이브리드 메모리 설계 탐색 기법 (An Design Exploration Technique of a Hybrid Memory for Artificial Intelligence Applications)

  • 조두산
    • 한국산업융합학회 논문집
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    • 제24권5호
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    • pp.531-536
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    • 2021
  • As artificial intelligence technology advances, it is being applied to various application fields. Artificial intelligence is performing well in the field of image recognition and classification. Chip design specialized in this field is also actively being studied. Artificial intelligence-specific chips are designed to provide optimal performance for the applications. At the design task, memory component optimization is becoming an important issue. In this study, the optimal algorithm for the memory size exploration is presented, and the optimal memory size is becoming as a important factor in providing a proper design that meets the requirements of performance, cost, and power consumption.

전산유체 해석을 통한 슬림형 이중외피 창호의 태양열 취득량 분석 - 높은 태양고도 및 하절기 냉방조건에서의 자연환기구 적용 및 창문 조절 방식별 비교 - (Numerical analysis of solar heat gain on slim-type double-skin window systems - Heat transfer phenomena with opening of windows and vent slot in summer condition -)

  • 박지호;오은주;조동우;조경주;유정연
    • KIEAE Journal
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    • 제17권1호
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    • pp.69-75
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    • 2017
  • Purpose: Heat transfer analysis of recently developed 'slim type double-skin system window' were presented. This window system is designed for curtain wall type façade that main energy loss factor of recent elegant buildings. And the double skin system is the dual window system integrated with inner shading component, enclosed gap space made by two windows when both windows were closed and shading component effectively reflect and terminate solar radiation from outdoor. Usually double-skin system requires much more space than normal window systems but this development has limited by 270mm, facilitated for curtain wall façade buildings. In this study, we estimated thermophysical phenomena of our double-skin curtain wall system window with solar load conditions at the summer season. Method: A fully 3-Dimentional analysis adopted for flow and convective and radiative heat transfer. The commercial CFD package were used to model the surface to surface radiation for opaque solid region of windows' frame, transparent glass, fluid region at inside of double-skin and indoor/outdoor environments. Result: Steep angle of solar incident occur at solar summer conditions. And this steep solar ray cause direct heat absorption from outside of frame surface rather than transmitted through the glass. Moreover, reflection effect of shading unit inside at the double-skin window system was nearly disappeared because of solar incident angle. With this circumstances, double-skin window system effectively cuts the heat transfer from outdoor to indoor due to separation of air space between outdoor and indoor with inner space of double-skin window system.

전폐 세척술로 부분 관해 후 GM-CSF 투여로 치료된 특발성 폐포단백증 1예 (A Case of Idiopathic Pulmonary Alveolar Proteinosis Treated with Granulocyte-Macrophage Colony Stimulating Factor (GM-CSF) after Partial Response to Whole Lung Lavage)

  • 송준휘;박순효;강경우
    • Tuberculosis and Respiratory Diseases
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    • 제67권6호
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    • pp.569-573
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    • 2009
  • Idiopathic pulmonary alveolar proteinosis (PAP) is a rare disorder characterized by surfactant component accumulation in the alveolar space. Idiopathic PAP has recently been recognized as a autoimmune disease of impaired alveolar macrophage function caused by autoantibodies against granulocyte-macrophage colony-stimulating factor (GM-CSF). While whole lung lavage has been the standard treatment, not every patient shows a complete response. Subcutaneous injection or inhalation of GM-CSF is another promising treatment option for PAP. A 45-year-old patient visited our hospital for dyspnea, he was diagnosed as PAP and underwent whole lung lavage. Eighteen months later, the patient had not achieved complete remission in despite of initial response. After then he was administered with GM-CSF (5 ${mu}g/kg/day$, subcutaneous injection) for fivetimes a week during 2 months. Nine months later, the abnormal shadows in high-resolution computed tomography (HRCT) decreased and the patient fully recovered in forced vital capacity. After 60 months, the HRCT scan showed complete remission of PAP.

자연공원의 환경분석 및 용도지역설정을 위한 전산환경정보체계의 수립과 적용 (Establishment and Application of Computer-Assisted Environmental Information System for Land Use Zoning and Environmental Analysis of Natural Park)

  • 이명우
    • 환경영향평가
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    • 제2권1호
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    • pp.39-55
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    • 1993
  • The importance of urban and regional natural park increases because of the needs for preserving the natural resources and providing with natural recreation space in nature. This planning of natural park management should be established based on the research of the various natural resources in the park. But for the lack of effective data synthesizing methods and concepts, only some restricted factors for zoning plan are considered even though GIS computer system for large complex simulation is used. Therefore, in this study three ecological zoning models such as Basic Factor Model (BFM), Visual Landscape Model (VLM) and Comprehensive Ecological Model (CEM) are proposed and applied to Byounsan Peninsula Nature Park(BPNP) for comparison with the current natural park zoning. The BFM has three components -elevation, slope and vegetation. The VLM has applied with six components -elevation, slope, vegetation, road type, and the visual distance. Finally the CEM's modelling factors have included all of BFM, VLM components are added with the land use type, nature and historic resource factors. The zoning concept of BPNP was based on "Minimization" focused on the specific factors. But introduced modelling concept is "Optimization" based on the total ecological environment. So the result of the modelling has larger area for preservation and development zoning compared with the current zoning whose characteristics are ambiguous which allows the environmental destruction. The future study issues will be the determination of the weighting factor, component reconsideration based on the ground truth data and the agriculture residential area zoning.

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가로공간의 활성화 인자에 관한 연구 - 한국과 일본의 가로구성인자분석을 중심으로 - (A study on the activating factors of street spaces - Focused on the analysis of the component factors of streets in Korea and Japan -)

  • 이재원
    • 디자인학연구
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    • 제19권2호
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    • pp.99-108
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    • 2006
  • 본 연구는 이미 발표된 '가로공간의 번화함을 만드는 요소에 관한 연구'와 '가로경관의 이미지 평가에 관한 연구'에서 도출된 결과를 토대로 지속되는 연구로서 가로공간을 구성하는 구조적인자 이외에 어떤 인자가 가로공간의 이미지를 활기차게 조성하는 인자로 영향력 이 있는지를 알아보기 위한 연구이다. 우선, 선행연구 2편에서 연구대상으로 사용되어진 가로 중에서 가로공간의 구조비율($D/H=0.5{\sim}2$)에 의해 흥미로운 이미지를 갖는 가로가 된다는 이론에 합당한 구조를 가진 가로를 중점적인 연구 대상으로 하였다. 그 다음으로 가로구조비율에 의해 쾌적함이나 번화함의 이미지가 있다고 인지되어진 가로를 연구대상으로 하였다. 가로가 쾌적함이나 번화함이 있다고 느끼는 것은 그 가로가 활성화되었다는 의미로 한정하고 가로활성화인자를 가로구성요소에서 추출하고자 하였다. 그리고 가로가 활성화되어서 쾌적한 이미지 또는 번화한 이미지를 느낄 수 있는 가로를 본 연구에서는 '활기찬 가로'라고 명명하였다. 또, 조사지 역도 선행연구와 동등하게 국가별 지역특성별로 구분하여 20개의 가로를 선정하였고 그 중에서 $D/H=0.5{\sim}2$를 벗어난 가로가 활기찬 가로로 느껴질 경우에는 어떤 인자에 의한 영향인지도 알아보고자 하였다. 그 결과, D/H=0.5-2인 업무지역가로인 경우 가로공간 활성화인자로는 수경시설, 보도, 연도건물인자 순으로 많은 영향을 준다는 것을 알 수 있었으며, 상업지역의 가로의 활성화인자로는 보도, 연도건물, 수경시설 및 조명시설인자순인 것을 알 수 있었다. 특히 $D/H=0.5{\sim}2$를 벗어난 가로구조를 가진 한국의 상업지역가로 5개와 일본의 업무지역가로 1개는 흥미로운 이미지를 갖는 구조를 벗어나면서도 활기찬 가로의 이미지를 갖게 되는 것은 가로공간의 구조적요소 이외에 가로공간 활성화인자에 의해 많은 영향을 받고 있다는 것을 알 수 있었다. 즉, 이런 구조를 가진 한국의 상업지역의 가로인 경우 연도건물, 보도, 수경시설 등의 인자 순으로, 일본의 업무지역의 가로인 경우 수경시설, 연도건물, 보도인자 순으로 가로활성화에 영향을 주고 있다는 것을 알 수 있었다.

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Comparative Study of Dimension Reduction Methods for Highly Imbalanced Overlapping Churn Data

  • Lee, Sujee;Koo, Bonhyo;Jung, Kyu-Hwan
    • Industrial Engineering and Management Systems
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    • 제13권4호
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    • pp.454-462
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    • 2014
  • Retention of possible churning customer is one of the most important issues in customer relationship management, so companies try to predict churn customers using their large-scale high-dimensional data. This study focuses on dealing with large data sets by reducing the dimensionality. By using six different dimension reduction methods-Principal Component Analysis (PCA), factor analysis (FA), locally linear embedding (LLE), local tangent space alignment (LTSA), locally preserving projections (LPP), and deep auto-encoder-our experiments apply each dimension reduction method to the training data, build a classification model using the mapped data and then measure the performance using hit rate to compare the dimension reduction methods. In the result, PCA shows good performance despite its simplicity, and the deep auto-encoder gives the best overall performance. These results can be explained by the characteristics of the churn prediction data that is highly correlated and overlapped over the classes. We also proposed a simple out-of-sample extension method for the nonlinear dimension reduction methods, LLE and LTSA, utilizing the characteristic of the data.