• 한국생산제조학회지
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• 제22권2호
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• pp.281-286
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• 2013

As the product lifecycle is getting shorter and various models should be released to respond to the needs of customers and markets, automation-based flexible production line has been recognized as the core competitiveness. According to these trends, system vendors supply cell-level systems such as FMC(Flexible Manufacturing Cell) that is integration of core functions of FMS(Flexible Manufacturing System) and RMC(Reconfigurable Manufacturing Cell) that can easily extend components of FMC. In the cell-based environment, flexible management for shop floor composed of existing job shop, FMCs and RMCs from various system vendors has emerged as an important issue. However, there could be some problems on integrated operation between heterogeneous cells to use vendor-specific cell controllers and on seamless information flow with high level systems such as ERP(Enterprise Resource Planning). In this context, this paper proposes process management systems supporting integrated shop operation of heterogeneous multi-cell based flexible manufacturing environment: First of all, (1) Integrated Shop Operation System to apply the process management system is introduced, and (2) Multi-Layer BOP(Bill-Of-Process) model, a backbone of the process management system, is derived with its data structure. Finally, application of the proposed model is illustrated through system implementation results.

• 시스템엔지니어링학술지
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• 제13권1호
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• pp.79-88
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• 2017

For the PBL contract, it is necessary for the contracting parties to share information regarding the reasonable inventory-level and the cost of its repair parts for the estimated demand. There are various models which can be used for this purpose. Among them, V-METRIC model is considered to be the most efficient and is most frequently applied. However, this model is usually used for optimizing the inventory level of the repair parts of the system under operation. The model uses a time series forecast model to determine the demand rate, which is a mandatory input factor for the model, based on past field data. However, since the system at the deployment stage has no operational performance record, it is necessary to find another alternative to be used as the demand rate of the model application. This research applies the V-METRIC model to find the optimal inventory level and cost estimation for repairable items to meet the target operational availability, which is a key performance indicator, at the time of the PBL contract for the deployment system. This study uses the calculated value based on the allocated MTBF to the system as the demand rate, which is used as input data for the model. Also, we would like to examine changes in inventory level and cost according to the changes in target operational availability and MTBF allocation.

• Wind and Structures
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• 제2권1호
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• pp.25-40
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• 1999

In this paper, artificial neural networks, a new kind of intelligent method, are employed to model and predict amplitude dependent damping in buildings based on our full-scale measurements of buildings. The modelling method and procedure using neural networks to model the damping are studied. Comparative analysis of different neural network models of damping, which includes multi-layer perception network (MLP), recurrent neural network, and general regression neural network (GRNN), is performed and discussed in detail. The performances of the models are evaluated and discussed by tests and predictions including self-test, "one-lag" prediction and "multi-lag" prediction of the damping values at high amplitude levels. The established models of damping are used to predict the damping in the following three ways : (1) the model is established by part of the data measured from one building and is used to predict the another part of damping values which are always difficult to obtain from field measurements : the values at the high amplitude level. (2) The model is established by the damping data measured from one building and is used to predict the variation curve of damping for another building. And (3) the model is established by the data measured from more than one buildings and is used to predict the variation curve of damping for another building. The prediction results are discussed.

• 한국측량학회지
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• 제39권1호
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• pp.23-28
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• 2021

최근 딥러닝을 활용한 데이터 분석 연구가 다양한 분야에서 진행되고 있다. 본 논문에서는 딥러닝 모델인 MLP (Multi-Layer Perceptron)와 LSTM (Long Short-Term Memory) 모델을 통해 ZWD (Zenith tropospheric Wet Delay)을 추정함으로써 딥러닝을 활용한 GNSS (Global Navigation Satellite System) 기반 기상 연구를 수행하였다. 딥러닝 모델은 기상 데이터와 천정방향 대류권 총 지연, 건조지연을 통해 추정한 ZWD로 학습되었고, 학습에 사용되지 않은 기상 데이터를 학습된 모델에 적용하여 두 모델에서 센티미터 수준의 RMSE (Root Mean Square Error)로 ZWD 결과를 산출하였다. 추후 해안지역의 GNSS 데이터를 함께 사용하고 시간 해상도를 높여 다양한 상황에서도 ZWD가 추정될 수 있도록 추가적인 연구가 수행될 필요가 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제3권1호
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• pp.5-25
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• 2009

In recent years the popularity of multi-hop wireless networks has been growing. Its flexible topology and abundant routing path enables many types of applications. However, the lack of a centralized controller often makes it difficult to design a reliable service in multi-hop wireless networks. While packet routing has been the center of attention for decades, recent research focuses on data discovery such as file sharing in multi-hop wireless networks. Although there are many peer-to-peer lookup (P2P-lookup) schemes for wired networks, they have inherent limitations for multi-hop wireless networks. First, a wired P2P-lookup builds a search structure on the overlay network and disregards the underlying topology. Second, the performance guarantee often relies on specific topology models such as random graphs, which do not apply to multi-hop wireless networks. Past studies on wireless P2P-lookup either combined existing solutions with known routing algorithms or proposed tree-based routing, which is prone to traffic congestion. In this paper, we present two wireless P2P-lookup schemes that strictly build a topology-dependent structure. We first propose the Ring Interval Graph Search (RIGS) that constructs a DHT only through direct connections between the nodes. We then propose the ValleyWalk, a loosely-structured scheme that requires simple local hints for query routing. Packet-level simulations showed that RIGS can find the target with near-shortest search length and ValleyWalk can find the target with near-shortest search length when there is at least 5% object replication. We also provide an analytic bound on the search length of ValleyWalk.

• 한국전산구조공학회논문집
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• 제20권3호
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• pp.393-404
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• 2007

본 연구에서는 교량정보의 통합 운용을 지원하기 위해 멀티레이어 데이터베이스의 프레임워크를 제시하였다. 멀티레이어 데이터베이스란 표준화된 정보 레이어로 이루어진 논리적으로 통합된 데이터베이스를 말한다. 표준화된 정보 레이어는 한 부류로 구분할 수 있는 데이터 집합을 나타내며, 정보모델에 의해 정의된다. 본 연구에서 제시한 교량의 멀티레이어 데이터베이스 개념은 구조요소의 분류를 나타내는 정보체계를 기반으로 하며, 구조요소의 분류체계에 따른 코드를 사용함으로써 여러 정보계층에 분포된 데이터를 통합하도록 하였다. 또한 멀티레이어 데이터베이스 프레임워크의 한 축으로서 데이터 레벨을 설정하였다. 데이터 레벨은 정보계층에 포함된 데이터들의 재활용성에 따른 중요도를 의미하며, 이에 따라 정보모델의 세분화되는 정도를 정의하여 방대한 양의 교량정보 데이터베이스 구축을 위한 효과적인 전략수립이 가능하도록 하였다. 제시된 개념의 검증을 위해 객체지향개념의 3-D 형상정보 계층과 구조계산서 정보계층으로 이루어진 시범 데이터베이스를 구축하였다. 또한 두 계층으로 분산되어 있는 데이터의 일치여부를 자동으로 검토하는 실험을 통하여 본 연구에서 제시된 멀티레이어 데이터베이스 개념이 교량정보를 관리하는데 있어 정보의 무결성과 일관성을 보장할 수 있음을 보였다.

• 디지털융복합연구
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• 제15권5호
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• pp.89-98
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• 2017

본 연구는 독거노인의 삶의 만족도에 영향을 미치는 요인을 확인한 연구로, 인구학적 배경, 경제 활동과 함께 생산적 여가참여와 사회적 지지의 조절효과를 검증하였다. 본 연구는 5차 국민노후보장패널의 독거노인 890명을 그 대상으로 하였으며, 독거노인의 삶의 만족도는 지역에 따른 무선효과를 가져 다층모형을 활용하여 분석을 실시하였다. 분석 결과 독거노인은 도에 사는 경우 광역시나 서울시에 사는 경우에 비해 삶의 만족도가 높았고, 생활비가 많을수록, 경제활동을 하고, 경제적으로 독립된 경우에 삶의 만족도가 높았다. 뿐만 아니라, 생산적 여가에 참여할 경우 그렇지 못한 경우 보다 삶의 만족도가 높으며, 사회적 지지를 많이 받을수록 삶의 만족도는 높아지는 것으로 나타났다. 또한, 생산적 여가참여를 하는 경우 사회적 지지를 받을수록 독거노인의 삶의 만족도가 높아지는 조절효과가 나타나는 것을 확인하였다. 이를 바탕으로 독거노인의 생산적 여가참여의 촉진책과 사회적 지지를 높이기 위한 정책적 방안을 모색하여야 할 것이다.

• 한국통신학회논문지
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• 제17권4호
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• pp.398-414
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• 1992

Netted 레이다의 추적정보를 수집하기 위한 레이다 정보 통신망의 설계를 위하여 본 연구에서는 multi-static 레이다의 정보 전송용 근거리망을 공간적 계증구조로 분류하고 최하의 공간 계층인 group 계층의 통신 모델을 소프트웨어 모듈로 설계하여 이를 모듈간의 조합에 의한 기본적인 레이다 정보망 단위를 구성하므로써 여러가지 통신 link 형태에 대한 전송상태를 분석하였다. 각 통신 node에서의 데이터 전송에 관련된 프로세서들은 통계적 모델에 의한 알고리즘을 사용하였으며, 데이터 link를 통하여 이러한 부분적인 하위층 통신모델들을 하나의 지역망으로 구성한 후 내부 node의 전송성능 변화를 분석하였고 이에 따라 망구성전체에 대한 각 통신 link들의 전송특성 분석도 가능하였다.

• 대기
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• 제22권3호
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• pp.331-344
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• 2012

The changes in the Hadley circulation during the second half of the 20th century were examined using observations and the 20C3M (Twentieth Century Climate in Coupled Models) simulations by the 21 IPCC AR4 models. Multi-model ensemble (MME) mean shows that the mean features of the Hadley circulation, such as the intensity, magnitude, and the seasonal variations, are very realistically reproduced, compared to the ERA40 reanalysis. But the long-term trends of the Hadley circulation in 20C3M MME are quite different to those of observations. The observed intensity of the Hadley cell is persistently enhanced, particularly during boreal winter. In comparison, the meridional overturning circulations reproduced in the MME mean remains invariant in time, and even weakened in boreal summer. This discrepancy between the ERA40 and 20C3M MME is consistently shown in the overall structure of the Hadley circulations, such as mass streamfunction, the velocity potential, the vertical shear of meridional wind, and the vertical velocity in the tropical region. This results indicate that the current climate models are skill-less to capture the long-term trend of Hadley circulation yet, and should be improved in simulation of the large-scale features to enhance the confidence level of future climate change projection.

• 한국지진공학회논문집
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• 제27권2호
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• pp.91-99
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• 2023

Structural vibration induced by earthquake hazards is one of the most significant concerns in structure performance-based design. Structural hazards evoked from seismic events must be properly identified to make buildings resilient enough to withstand extreme earthquake loadings. To investigate the effects of combined earthquake-resistant systems, shear walls and five types of dampers are incorporated in nineteen structural models by altering their arrangements. All the building models were developed as per ACI 318-14 and ASCE 7-16. Seismic fragility curves were developed from the incremental dynamic analyses (IDA) performed by using seven sets of ground motions, and eventually, by following FEMA P695 provisions, the collapse margin ratio (CMR) was computed from the collapse curves. It is evident from the results that the seismic performance of the proposed combined shear wall-damper system is significantly better than the models equipped with shear walls only. The scrutinized dual seismic resisting system is expected to be applied practically to ensure a multi-level shield for tall structures in high seismic risk zones.