• 제목/요약/키워드: Embedded structure

검색결과 1,166건 처리시간 0.021초

Dynamic Earth Pressure on Embedded Structure

  • Sadiq, Shamsher;Park, Duhee
    • 한국지반환경공학회 논문집
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    • 제20권9호
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    • pp.13-19
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    • 2019
  • Dynamic earth pressure is considered an important parameter in the design of embedded structures. In current engineering design simplified methods developed either for yielding or non-yielding structures are utilized to predict resultant dynamic pressure. The applicability of these equations to embedded structures have not yet been reported. In this study we perform a suite of equivalent linear time history analysis for a range of embedded structure configurations. Numerically calculated dynamic pressure is shown to depend on the flexibility ratio (F), aspect ratio (L/H) of the embedded structure, and ground motion. Increase in L/H and intensity increases the magnitude of dynamic pressure. An increase in F decreases the dynamic pressure. Overall, the trends highlight the need for development of new method that accounts for F and L/H to calculate the dynamic pressure for the performance-based design of embedded structures.

Dynamic Power Management Structure for Energy Harvesting Pervasive Computing System

  • Bae, Hyeoungho;Kim, Dong-Sung
    • 대한임베디드공학회논문지
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    • 제1권1호
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    • pp.1-7
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    • 2006
  • In this paper, a novel power management structure for an energy harvesting pervasive system is proposed. The system considers the power state of each subsystem to assign proper power sources. The switch matrix structure utilizes each power source to reduce the peak current of the battery. The power management structure can be interfaced to an embedded system power supply without significant design change.

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Effect of poorly-compacted backfill around embedded foundations on building seismic response

  • Kim, Yong-Seok
    • Earthquakes and Structures
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    • 제3권3_4호
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    • pp.549-561
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    • 2012
  • Many building foundations are embedded, however it is not easy to compact the backfill around the foundation especially for the deeply embedded ones. The soil condition around the embedded foundation may affect the seismic response of a building due to the weak contact between the soil and the foundation. In this paper, the response accelerations in the short-period range and at the period of 1 second (in the long-period range) for a seismic design spectrum specified in the IBC design code were compared considering perfect and poor backfills to investigate the effect of backfill compaction around the embedded foundation. An in-house finite-element software (P3DASS) which has the capability of horizontal pseudo-3D seismic analysis with linear soil layers was used to perform the seismic analyses of the structure-soil system with an embedded foundation. Seismic analyses were carried out with 7 bedrock earthquake records provided by the Pacific Earthquake Engineering Research Center (PEER), scaling the peak ground accelerations to 0.1 g. The results indicate that the poor backfill is not detrimental to the seismic response of a building, if the foundation is not embedded deeply in the soft soil. However, it is necessary to perform the seismic analysis for the structure-soil system embedded deeply in the soft soil to check the seismic resonance due to the soft soil layer beneath the foundation, and to compact the backfill as well as possible.

깊게 파인 온통기초가 구조물의 수평방향 설계스펙트럼에 미치는 영향 (Effect of a Sunken Mat Foundation on the Horizontal Design Spectrum of a Structure)

  • 김용석
    • 한국지진공학회논문집
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    • 제25권4호
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    • pp.169-177
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    • 2021
  • In this paper, horizontal seismic responses of a structure built on a sunken mat foundation were compared with those built on a solid embedded mat foundation to investigate the effect of a sunken mat foundation on the horizontal response of a structure. Seismic analyses of a structure laid on the embedded mat foundation were performed by utilizing a pseudo-3D finite element software of P3DASS. Three bedrock earthquake records downloaded from the Pacific Earthquake Engineering Research Center database were scaled to reproduce weak-moderate earthquakes. Weak, medium, and stiff soil layers were considered for the seismic analyses of the structure-foundation-soil system. Parametric studies were performed for foundation radius, foundation embedment depth, and shear wave velocity of a soil layer to investigate their effect on the seismic response spectrum. The study result showed that the design spectrum of a structure built on a sunken mat foundation was similar to that with a solid embedded mat foundation showing a slight difference due to almost the same seismic base motion beneath both embedded foundations.

PCB용 임베디드 캐패시터에 관한 연구 (A Study on the Embedded Capacitor for PCB)

  • 홍순관
    • 대한전자공학회논문지TE
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    • 제42권4호
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    • pp.1-6
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    • 2005
  • 최근 저항이나 캐패시터와 같은 수동소자를 PCB의 내층에 제조하는 임베디드 패시브 기술이 고성능의 IT 제품을 제조하는데 사용되고 있다. 그런데 임베디드 캐패시터는 정전용량 밀도가 낮아 회로소자로서의 전반적인 응용에 한계가 있다. 본 논문에서는 이러한 한계를 극복하기 위하여 wrinkle형의 전극과 유전체 층을 가진 새로운 임베디드 캐패시터를 제안하였다. FEM 기법을 사용하여 wrinkle형 임베디드 캐패시터의 정전용량 밀도를 평가하였다. Wrinkle형 임베디드 캐패시터는 기존의 평면형 임베디드 캐패시터에 비하여 25.6%$\sim$39.6% 정도 큰 정전용량 밀도를 나타내었다. 특히, thin film형 임베디드 캐패시터에 wrinkle 구조를 적용할 때 정전용량 밀도가 보다 많이 향상되었다.

Field Emission Display with Design Elements for Control of Uniformity, Color Purity, Luminance, and Invisible Spacers.

  • Howard, Emmett M.;Coll, Bernard F.;Dean, Ken A.;Johnson, Michael R.;Johnson, Scott V.;Jaskie, James E.;Li, Hao
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권1호
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    • pp.475-478
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    • 2007
  • A solution for carbon nanotube based field emission displays has been designed and built. The solution makes use of structure layout to control electron beam trajectories, uniformity by use of ballasting, emission anomalies eliminated by selective carbon nanotube growth and invisible spacers to maintain the vacuum gap.

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차량 구동 시스템의 구조에 따른 resilience 분석 (Resilience Evaluation of Vehicle Driving System Depending on System Architecture)

  • 변성일;이동익
    • 대한임베디드공학회논문지
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    • 제10권5호
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    • pp.273-279
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    • 2015
  • The vehicle has lots of embedded systems. Each of systems has its own role. In case of the vehicle, simple failure of system can be critical to driver. Therefore all of embedded system should be managed based on importance factors to be effective. In this paper, we consider the resilience as the importance factor for the driving system with ACC(Adaptive Cruise Control). We propose metrics to calculate the resilience of the embedded system. To get the resilience of system, we calculate the reliability and the resilience of nodes in the system using its failure rate. The resilience of whole system can be presented by the resilience of nodes and its weight. We calculate the resilience and compare the centralized structure and the distributed structure.

Prediction models of the shear modulus of normal or frozen soil-rock mixtures

  • Zhou, Zhong;Yang, Hao;Xing, Kai;Gao, Wenyuan
    • Geomechanics and Engineering
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    • 제15권2호
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    • pp.783-791
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    • 2018
  • In consideration of the mesoscopic structure of soil-rock mixtures in which the rock aggregates are wrapped by soil at normal temperatures, a two-layer embedded model of single-inclusion composite material was built to calculate the shear modulus of soil-rock mixtures. At a freezing temperature, an interface ice interlayer was placed between the soil and rock interface in the mesoscopic structure of the soil-rock mixtures. Considering that, a three-layer embedded model of double-inclusion composite materials and a multi-step multiphase micromechanics model were then built to calculate the shear modulus of the frozen soil-rock mixtures. Given the effect of pore structure of soil-rock mixtures at normal temperatures, its shear modulus was also calculated by using of the three-layer embedded model. Experimental comparison showed that compared with the two-layer embedded model, the effect predicted by the three-layer embedded model of the soil-rock mixtures was better. The shear modulus of the soil-rock mixtures gradually increased with the increase in rock regardless of temperature, and the increment rate of the shear modulus increased rapidly particularly when the rock content ranged from 50% to 70%. The shear modulus of the frozen soil-rock mixtures was nearly 3.7 times higher than that of the soil-rock mixtures at a normal temperature.

Supplier-assembler Network Structure and Capability Improvement of Suppliers in Newly Emerging Vietnam's Motorcycle Industry

  • Pham Truong Hoang;Shusa Yoshikazu
    • 기술혁신연구
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    • 제14권2호
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    • pp.143-165
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    • 2006
  • By analyzing five in-depth case studies of suppliers in newly emerging Vietnam's motorcycle industry, this paper explores the differences in patterns and processes of capability improvement of suppliers who participate in different kinds of supplier-assembler network with different structures. The paper finds the correlation between the kinds of suppliers' capabilities improved and the structure of networks they participate in. While suppliers in arm-length networks can improve more upstream capabilities (structure design, process desist), suppliers in embedded networks can improve more downstream capabilities (process design, process setup, process maintenance and delivery control). Two capability improvement patterns of firms in newly emerging economy are indicated. The first pattern is asymmetrical improvement, either upstream or downstream capabilities, by participating in either arm-length or embedded networks. This pattern obstructs the suppliers to meet the requirements of new buyers rho come from different kinds of network. The second pattern is symmetrical improvement by joining both arm-length and embedded networks.

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불꽃 감지를 위한 임베디드 시스템에 적합한 딥러닝 구조 (Deep Learning Structure Suitable for Embedded System for Flame Detection)

  • 라승탁;이승호
    • 전기전자학회논문지
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    • 제23권1호
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    • pp.112-119
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    • 2019
  • 본 논문에서는 불꽃 감지를 위한 임베디드 시스템에 적합한 딥러닝 구조를 제안한다. 제안하는 딥러닝 구조의 불꽃 감지 과정은 불꽃 색깔 모델을 사용한 불꽃 영역 검출, 불꽃 색깔 특화 딥러닝 구조를 사용한 불꽃 영상 분류, 검출된 불꽃 영역의 $N{\times}N$ 셀 분리, 불꽃 모양 특화 딥러닝 구조를 사용한 불꽃 영상 분류 등의 4가지 과정으로 구성된다. 첫 번째로 입력 영상에서 불꽃의 색만을 추출한 다음 레이블링하여 불꽃 영역을 검출한다. 두 번째로 검출된 불꽃 영역을 불꽃 색깔에 특화 학습된 딥러닝 구조의 입력으로 넣고, 출력단의 불꽃 클래스 확률이 75% 이상에서만 불꽃 영상으로 분류한다. 세 번째로 앞 단에서 75% 미만 불꽃 영상으로 분류된 영상들의 검출된 불꽃 영역을 $N{\times}N$ 단위로 분할한다. 네 번째로 $N{\times}N$ 단위로 분할된 작은 셀들을 불꽃의 모양에 특화 학습된 딥러닝 구조의 입력으로 넣고, 각 셀의 불꽃 여부를 판단하여 50% 이상의 셀들이 불꽃 영상으로 분류될 경우에 불꽃 영상으로 분류한다. 제안된 딥러닝 구조의 성능을 평가하기 위하여 ImageNet의 불꽃 데이터베이스를 사용하여 실험하였다. 실험 결과, 제안하는 딥러닝 구조는 기존의 딥러닝 구조보다 평균 29.86% 낮은 리소스 점유율과 8초 빠른 불꽃 감지 시간을 나타내었다. 불꽃 검출률은 기존의 딥러닝 구조와 비교하여 평균 0.95% 낮은 결과를 나타내었으나, 이는 임베디드 시스템에 적용하기 위해 딥러닝 구조를 가볍게 구성한데서 나온 결과이다. 따라서 본 논문에서 제안하는 불꽃 감지를 위한 딥러닝 구조는 임베디드 시스템 적용에 적합함이 입증되었다.