• Korean Journal of Construction Engineering and Management
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• v.16 no.2
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• pp.97-105
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• 2015

Building information modeling (BIM)-based construction projects have increased and become more varied, and as such the management of BIM-based facility information is also increasingly important for facility maintenance. Information management, and specifically product data mapping, however, has some problems in the area of manual data entry and does not adequately consider the exchange requirements of facility maintenance. Therefore, it is necessary to introduce a method to improve the management of composite object information for BIM-based facility maintenance so that it can handle construction operation building information exchange (COBie) data for a composite object. Therefore, we present a method to map COBie data to related materials of a composite object. This research contributes to increasing the efficiency and accuracy of the required information mapping between a building model and product data using a BIM library through optimal BIM data adoption. Moreover, it allows for the creation and management of specific product data at the design development phase.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.138-146
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• 2010

Currently mobile phones possess the new features including the control interface provided with an ease, an intuition, and a variety and the display ensured for wide area. Mobile phones mounted with the touch screen release actively due to such strengths. This is the mega trend of the development of the latest mobile game. Mobile games set to the past keypad input system have changed for adaptation in the input environment and the progressive development. Consequently it is necessary to research for 'Touch User Interface(TUI)' of mobile games fixed into input environment by "Touch screen". This study have concreted the application method of touch game through the comparison analysis with the past game and implemented touch mobile game based on usability for ten touch mobile game titles released from the inside and outside of the country in oder to apply the touch interface fixed in the game to the hand-hold device with the function of touch interface. The result of this study have two implications. First it enhances the playability and diversity of game genre restricted by reason of the limitation of the past keypad input device. Second, it utilizes the basis for the standard of the interface of the touch mobile game by genre.

• Journal of the Korean Geotechnical Society
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• v.21 no.5
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• pp.75-82
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• 2005

Shear strength parameters obtained from field tests are important factors in the analysis of slope stability. In this paper, sensitivity analysis was performed to evaluate the effect of input parameters on the analysis of slope stability. The input parameters selected for sensitivity analysis were slope angle, cohesion, and friction angle. Monte-Carlo Simulation method was to estimate input parameters for sensitivity analysis in slope stability, and the limit equilibrium method was used to calculate the factor of safety of slope stability. A rock slope, failed in the field, was used for the sensitivity analysis of input parameters in the analysis of slope stability. The result of analysis shows that the factor of safety of the rock slope was a little low. From partial correlation coefficient (PCC) of input parameters from the sensitivity analysis, slope stability was dependant mainly on cohesion and slope angle. The effect of friction angle was smaller than those of cohesion and slope angle on slope stability.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.149-158
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• 2012

Proposed is a hybrid randomizing function using two asymptotically optimal randomizing functions: Elias function and Peres function. Randomizing function is an mathematical abstraction of producing a uniform random bits from a source of randomness with bias. It is known that the output rate of Elias function and Peres function approaches to the information-theoretic upper bound. Especially, for each fixed input length, Elias function is optimal. However, its computation is relatively complicated and depends on input lengths. On the contrary, Peres function is defined by a simple recursion. So its computation is much simpler, uniform over the input lengths, and runs on a small footprint. In view of this tradeoff between computational complexity and output efficiency, we propose a hybrid randomizing function that has strengths of the two randomizing functions and analyze it.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.1
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• pp.98-107
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• 2017

In these days, the increase of applications that highly use network resources has revealed the limitations of the current research phase from the traffic classification for network management. Various researches have been conducted to solutions for such limitations. The representative study is automatic finding of the common pattern of traffic. However, since the study of automatic signature generation is a semi-automatic system, users should collect the traffic. Therefore, these limitations cause problems in the traffic collection step leading to untrusted accuracy of the signature verification process because it does not contain any of the generated signature. In this paper, we propose an automated traffic collection, signature management, signature generation and signature verification process to overcome the limitations of the automatic signature update system. By applying the proposed method in the campus network, actual traffic signatures maintained the completeness with no false-positive.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.561-568
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• 2006

WPS(Wearable Personal Station) for next generation PC can define as a core terminal of 'Ubiquitous Computing' that include information processing and network function and overcome spatial limitation in acquisition of new information. As a way to acquire significant dynamic gesture data of user from haptic devices, traditional gesture recognizer based on desktop-PC using wire communication module has several restrictions such as conditionality on space, complexity between transmission mediums(cable elements), limitation of motion and incommodiousness on use. Accordingly, in this paper, in order to overcome these problems, we implement hand gesture recognition system using fuzzy algorithm and neural network for Post PC(the embedded-ubiquitous environment using blue-tooth module and WPS). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data 2) Relational Database Management System(hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition modulo: fuzzy max-min and neural network recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy min-nin module and 96.7% in neural network recognition module about significantly dynamic gestures.

• Journal of Korea Water Resources Association
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• v.39 no.2 s.163
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• pp.151-160
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• 2006

In this study, threshold runoff which is a hydrologic component of flash flood guidance(FFG) is estimated by using Manning's bankfull flow and Geomorphoclimatic Instantaneous Unit Hydrograph(GcIUH) methods on Han River watershed. Geographic Information System(GIS) and 3' Digital Elevation Model database have been used to prepare the basin parameters of a very fine drainage area($1.02\~56.41km^2$), stream length and stream slope for threshold runoff computation. Also, cross-sectional data of basin and stream channel are collected for a statistical analysis of regional regression relationships and then those are used to estimate the stream parameters. The estimated threshold runoff values are ranged from 2 mm/h to 14 mm/6hr on Han River headwater basin with the 1-hour duration values are$97\%$ up to 8mm and the 6-hour values are $98\%$ up to 14mm. The sensitivity analysis shows that threshold runoff is more variative to the stream channel cross-sectional factors such as a stream slope, top width and friction slope than the drainage area. In comparisons between the computed threshold runoffs on this study area and the three other regions in the United States, the computed results on Han River watershed are reasonable.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.333-337
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• 2017

본 논문에서는 개체명 인식과 언어 모델의 다중 학습을 이용한 한국어 개체명 인식 방법을 제안한다. 다중 학습은 1 개의 모델에서 2 개 이상의 작업을 동시에 분석하여 성능 향상을 기대할 수 있는 방법이지만, 이를 적용하기 위해서 말뭉치에 각 작업에 해당하는 태그가 부착되어야 하는 문제가 있다. 본 논문에서는 추가적인 태그 부착 없이 정보를 획득할 수 있는 언어 모델을 개체명 인식 작업과 결합하여 성능 향상을 이루고자 한다. 또한 단순한 형태소 입력의 한계를 극복하기 위해 입력 표상을 자소 및 형태소 품사의 임베딩으로 확장하였다. 기계 학습 방법은 순차적 레이블링에서 높은 성능을 제공하는 Bi-directional LSTM CRF 모델을 사용하였고, 실험 결과 언어 모델이 개체명 인식의 오류를 효과적으로 개선함을 확인하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.42-46
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• 2009

최근 국지적 집중호우로 인한 인명과 재산피해가 증가하고 있는 실정이며 이러한 피해를 경감하기 위한 하나의 방책으로써 홍수예경보 시스템 구축의 관심이 늘어나고 있다. 그러나, 기존의 홍수예측 시스템은 강우관측치를 모형의 입력 자료로 홍수유출을 계산하는데, 집중호우와 같은 악기상 조건에서는 관측강우자료를 이용한 유출해석 결과를 이용하여 홍수예경보 시스템을 운영할 경우 예방 대응시간의 부족으로 인해 방재 효율성이 떨어지는 한계성을 지니고 있다. 이와 같은 상황에서 정확한 기상예보를 활용한 기상-수자원 연계기법을 개발하여 홍수예경보 시스템에 적용한다면 악기상 감시예측기술의 향상과 더불어 재해의 방지차원에서 매우 유용한 대책이 될 뿐만 아니라 그 활용성을 극대화 시킨다면 수자원분야의 치수기 홍수예측 등에 매우 유용하게 활용될 수 것이다. 이에 본 연구에서는 모형의 입력으로 활용되는 단기 예측강우의 국내 적용성 여부를 검토하기 위해 30km의 공간해상도를 가진 단기지역예보모델인 RDAPS(Regional Data Assimilation and Prediction System) 예측강우 자료에 대하여 수문학적 정확도 분석을 수행하였으며, 예측강우의 정확도 향상을 위한 편차보정 방법을 개발 적용하였다. 또한 산정된 예측강우를 바탕으로 HEC-1 모델과의 연계방안을 제안하고 이를 이용하여 한강수계 주요 댐유역의 예측유입량을 산정, 댐 운영에 대한 적용성을 판단하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.910-913
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• 2017

데이터의 양이 증가하면서 인공신경망을 통한 데이터 분석 기술이 주목받고 있으며, 텍스트, 그림, 동영상 등에 이르기까지 다양한 종류의 데이터를 자동으로 분석하여, 번역기, 채팅봇, 그림 캡션 자동 생성 등에 대한 연구 및 서비스 개발에 활용되고 있다. 인공신경망 기반으로 수행된 많은 연구들이 공통적으로 가진 한계가 있는데, 그것은 은닉층에 대한 해석이 어렵다는 것이다. 가령, 입력층, 은닉층, 그리고 결과층으로 이루어진 인공신경망을 임의의 데이터로 학습시키면, 입력층과 은닝층 사이에 존재하는 행렬은 해당 데이터에 존재하는 패턴 정보를 내포하게 된다. 따라서, 행렬에 존재하는 패턴 정보를 직접 분석할 수 있다면, 인공신경망 결과물에 대한 해석이 가능할 뿐만 아니라 성능을 높이기 위해 어떤 조정이 필요한지에 대한 직관도 얻을 수 있을 것이다. 하지만, 이 행렬의 실체는 숫자로 이루어진 벡터이므로 사람이 직접 해석하는 것은 불가능하며, 지금까지 수행되어온 대부분의 인공신경망 연구들은 공통적으로 이러한 한계점을 가지고 있다. 본 연구는 데이터에 존재하는 패턴을 잡아내면서도 해석이 가능한 토픽 모델과 인공신경망의 결과물을 비교함으로써, 인공신경망 은닉층 해석에 대한 실마리를 찾기 위한 연구이다. 실험을 통해 토픽과 은닉층 패턴의 유사성을 검증하고, 향후 인공신경망 연구에서 은닉층에 대한 가능성을 논한다.