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A study on the pressure test of the glass window for high speed train (고속철도차량용 창문유리의 압력시험에 관한 연구)

  • Chang, Dae-Sung;Lee, Heung-Jae;Yi, Won
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.295-300
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    • 2011
  • In this paper, the pressure endurance test of passenger glass window which was developed for next high speed train was studied. At first, pressure test equipment which will be able to generate the maximum pressure same as crossing between two trainsets in the tunnel was developed. Afterwards the pressure test and evaluation that were based on NFF31-314 were studied and carried out.

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ON A GENERALIZED APERIODIC PERFECT MAP

  • KIM, SANG-MOK
    • Communications of the Korean Mathematical Society
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    • v.20 no.4
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    • pp.685-693
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    • 2005
  • An aperiodic perfect map(APM) is an array with the property that every array of certain size, called a window, arises exactly once as a contiguous subarray in the array. In this article, we deal with the generalization of APM in higher dimensional arrays. First, we reframe all known definitions onto the generalized n-dimensional arrays. Next, some elementary known results on arrays are generalized to propositions on n-dimensional arrays. Finally, with some devised integer representations, two constructions of infinite family of n-dimensional APMs are generalized from known 2-dimensional constructions in [7].

Shear capacity of Unreinforced Masonry Wall with Opening (개구부를 갖는 조적벽체의 전단내력에 관한 연구)

  • Kang, Dae-Eon;Yi, Waon-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.11a
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    • pp.69-72
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    • 2006
  • The objective of this study is to find out the shear capacity of URM wall and the variables that affect the shear capacity of URM wall such as the opening and the aspect ratio, considering four kinds of failure modes, sliding shear failure, toe crushing failure, and diagonal shear failure. The main varialble is the shape of opening of URM walls. First URM has one door, second has one window, third hase one door and one window, the last has two windows. The test results of URM with openings show that the specimens are governed by rocking failure mode.

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Estimation of Total Precipitable Water from MODIS Infrared Measurements over East Asia (MODIS 적외 자료를 이용한 동아시아 지역의 총가강수량 산출)

  • Park, Ho-Sun;Sohn, Byung-Ju;Chung, Eui-Seok
    • Korean Journal of Remote Sensing
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    • v.24 no.4
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    • pp.309-324
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    • 2008
  • In this study the retrieval algorithms have been developed to retrieve total precipitable water (TPW) from Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) infrared measurements using a physical iterative retrieval method and a split-window technique over East Asia. Retrieved results from these algorithms were validated against Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) over ocean and radiosonde observation over land and were analyzed for investigating the key factors affecting the accuracy of results and physical processes of retrieval methods. Atmospheric profiles from Regional Data Assimilation and Prediction System (RDAPS), which produces analysis and prediction field of atmospheric variables over East Asia, were used as first-guess profiles for the physical retrieval algorithm. We used RTTOV-7 radiative transfer model to calculate the upwelling radiance at the top of the atmosphere. For the split-window technique, regression coefficients were obtained by relating the calculated brightness temperature to the paired radiosonde-estimated TPW. Physically retrieved TPWs were validated against SSM/I and radiosonde observations for 14 cases in August and December 2004 and results showed that the physical method improves the accuracy of TPW with smaller bias in comparison to TPWs of RDAPS data, MODIS products, and TPWs from split-window technique. Although physical iterative retrieval can reduce the bias of first-guess profiles and bring in more accurate TPWs, the retrieved results show the dependency upon initial guess fields. It is thought that the dependency is due to the fact that the water vapor absorption channels used in this study may not reflect moisture features in particular near surface.

A Study on the Productivity Analysis and Restructuring of Information Technology Industry Using DEA/WINDOW (DEA/WINDOW 기법을 이용한 정보기술산업의 경영 효율성과 규모 경제성 평가에 관한 연구)

  • Lee, Dae-Yong;Lee, Cheong-Ho
    • Asia pacific journal of information systems
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    • v.10 no.3
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    • pp.17-40
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    • 2000
  • This study aims at proposing a direction of improving the efficiency in Korean information technology(IT) industry. In the face of re-engineering which has been done in most industries, it is very important to assess the validity of their restructuring or M&A based on the future efficiency. At first, by using the DEA/WINDOW, we will evaluate how the 30 firms are efficient for outputting their performance with respect to the profit realization and market ability. Then, in order to propose the direction of the efficiency improvement and suitable restructuring strategy, we will clarify how the efficiency of IT firms depends on their firm size. Finally, we will analyze their 'economy of scale' and also reveal how their economy of scale depends on the firm size based on return-to-scale(RTS).

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An Ensemble Classifier using Two Dimensional LDA

  • Park, Cheong-Hee
    • Journal of Korea Multimedia Society
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    • v.13 no.6
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    • pp.817-824
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    • 2010
  • Linear Discriminant Analysis (LDA) has been successfully applied for dimension reduction in face recognition. However, LDA requires the transformation of a face image to a one-dimensional vector and this process can cause the correlation information among neighboring pixels to be disregarded. On the other hand, 2D-LDA uses 2D images directly without a transformation process and it has been shown to be superior to the traditional LDA. Nevertheless, there are some problems in 2D-LDA. First, it is difficult to determine the optimal number of feature vectors in a reduced dimensional space. Second, the size of rectangular windows used in 2D-LDA makes strong impacts on classification accuracies but there is no reliable way to determine an optimal window size. In this paper, we propose a new algorithm to overcome those problems in 2D-LDA. We adopt an ensemble approach which combines several classifiers obtained by utilizing various window sizes. And a practical method to determine the number of feature vectors is also presented. Experimental results demonstrate that the proposed method can overcome the difficulties with choosing an optimal window size and the number of feature vectors.

Roof tile frangibility and puncture of metal window shutters

  • Laboy-Rodriguez, Sylvia T.;Smith, Daniel;Gurley, Kurtis R.;Masters, Forrest J.
    • Wind and Structures
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    • v.17 no.2
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    • pp.185-202
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    • 2013
  • The goal of this study was to investigate the vulnerability of roof tile systems and metal shutters to roof tile debris. Three phases addressed the performance of tile roof systems and metal shutters impacted by roof tile debris. The first phase experimentally evaluated the tile fragment size and quantity generated by a tile striking a tile roof system. The second phase experimentally quantified the puncture vulnerability of common metal panel shutter systems as a function of tile fragment impact speed. The third phase provided context for interpretation of the experimental results through the use of a tile trajectory model. The results provide supporting evidence that while metal panel window shutters provide significant protection against a prevalent form of windborne debris, these systems are vulnerable to tile fragment puncture in design level tropical cyclones. These findings correlate with field observations made after Hurricane Charley (2004).

A Model for Determining Time Windows for Vehicles of Suppliers in a Supply Chain (공급사슬환경하에서 차량의 도착시각 시간창 결정을 위한 모델)

  • Kim, Ki-Young;Kim, Kap-Hwan
    • IE interfaces
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    • v.14 no.4
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    • pp.365-373
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    • 2001
  • It is discussed how to determine time windows for pickups and deliveries, which have been assumed to be given in all most of previous studies on traveling salesman problems with time window, vehicle routing problems with time window, vehicle scheduling and dispatching problems, and so on. First, time windows are classified into four models (DR, DA, AR, and AA) by customers‘ polices. For each model, it is shown how a time window is related to various cost terms of suppliers and customers. Under the assumption of collaborative supplier-customer relationship, an integrated cost model for both supplier and customer is constructed for determining boundaries of time windows. The cost models in this paper consists of cost terms that depend on waiting time, early arrival time, late arrival time, and rejection of receipt. A numerical example is provided and results of the sensitivity analysis for some parameters are also provided to help intuitive understanding about the characteristics of the suggested models.

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Depth Extraction from Stereo Endoscope Using Adaptive Window (적응형 윈도우를 이용한 스테레오 내시경에서의 깊이추출 연구)

  • Hwang, D.S.;Kim, J.H.;An, J.S.;Lee, S.J.;Lee, M.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.265-266
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    • 1998
  • This paper describes a depth extraction algorithm in the stereo endoscopic images using adaptive window. First, The relation between the 3D coordinates in the world and the 2D coordinates in the image plane is estimated using camera calibration. Next, stereo matching is performed to find the conjugate pairs in the left and right images. To improve the precision of the matching result, adaptive window which can be varied on the shape as well as on the size according to the area characteristics is used. Finally, the result from the stereo matching and that of camera modeling are combined to extract the real depth information.

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A Study on the Detection of Surface Defect Using Image Modeling (영상모델링을 이용한 표면결함검출에 관한 연구)

  • 목종수;사승윤;김광래;유봉환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.444-449
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    • 1996
  • The semiconductor, which is precision product, requires many inspection processes. The surface conditions of the semiconductor chip affect on the functions of the semiconductors. The defects of the chip surface are cracks or voids. As general inspection method requires many inspection procedure, the inspection system which searches immediately and precisely the defects of the semiconductor chip surface is required. We suggest the detection algorithm for inspecting the surface defects of the semiconductor surface. The proposed algorithm first regards the semiconductor surface as random texture and point spread function, and secondly presents the character of texture by linear estimation theorem. This paper assumes that the gray level of each pixel of an image is estimated from a weighted sum of gray levels of its neighbor pixels by linear estimation theorem. The weight coefficients are determined so that the mean square error is minimized. The obtained estimation window(two-dimensional estimation window) characterizes the surface texture of semiconductor and is used to discriminate the defects of semiconductor surface.

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