• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2013.11a
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• pp.59-60
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• 2013

본 연구는 고층 건축물의 외장재로 많이 사용되고 있는 커튼월에서의 화재확산을 방지하기 위한 방안으로 건축물의 기존 외장재와 설비들을 이용한 성능설계 적용 기법을 활용하기 위한 기초 연구로써 실험적 연구를 수행하였다. 이를 위해서가로 1.2 m, 세로(높이) 2.6 m 두 개의 유리가 붙어 있는 커튼월을 사용하였으며 한쪽의 유리에만 스프링클러를 설치하고, 커튼월 앞에 1m 지름의 헵탄의 화원을 사용하여 실험을 수행하였다. 스프링클러 설치 유무에 따라 커튼월의 유리의 파손으로 인한 화재 전파 방지에 효과가 있는 것을 확인하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.325-329
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• 2002

본 연구에서는 할선법과 모멘트를 조합한 학습알고리즘의 신경망 기반 독립성분분석 기법을 제안하였다. 제안된 알고리즘은 할선법과 모멘트에 기초를 둔 고정점 알고리즘의 독립성분분석 기법이다. 여기서 할선법은 독립성분 상호간의 정보를 최소화하기 위해 negentropy를 최대화는 과정에서 요구되는 1차 미분에 따른 계산량을 줄이기 위함이고, 모멘트는 최대화 과정에서 발생하는 발진을 억제하여 보다 빠른 학습을 위함이다. 제안된 기법을 256×256 픽셀의 8개 지문영상에서 임의 혼합행렬에 따라 발생되는 혼합지문들을 각각 대상으로 시뮬레이션한 결과, 할선법만에 기초한 기법보다 우수한 분리성능과 빠른 학습속도가 있음을 확인하였다.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.66-74
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• 2008

Warranty contracting for pavements construction has been widely used in Europeans countries, Japan, and the U.S. and the benefits of warranty contract has been proven. This research investigated the European, U.S., and Japanese warranty contract policies and compared pros and cons. The most appropriate warranty contract policy solution is developed to fit in the Korean construction industry culture. Three main conclusions have been developed in this study: (1) performance specifications should be developed; (2) the systematic method is required to estimate the appropriate costs of performance bond and warranty period, etc.; and (3) short and long term plans for adopting performance warranty contract in Korea are suggested.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.162-170
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• 2010

Adaptive arrays reject interferences while preserving the desired signal, exploiting a priori information on its arrival angle. Subspace-based adaptive arrays, which adjust their weight vectors in the signal subspace, have the advantages of fast convergence and robustness to steering vector errors, as compared with the ones in the full dimensional space. However, the complexity of theses subspace-based methods is high because the eigendecomposition of the covariance matrix is required. In this paper, we present a simple subspace-based method based on the PASTd (projection approximation subspace tracking with deflation). The orignal PASTd algorithm is modified such that eigenvectora are orthogonal to each other. The proposed method allows us to significantly reduce the computational complexity, substantially having the same performance as the beamformer with the direct eigendecomposition. In addition to the simple beamforming method, we present theoretical analyses on the SINR (signal-to-interference plus noise ratio) of subspace beamformers to see their behaviors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.10
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• pp.1767-1772
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• 2006

Computer-generated integral imaging system is an auto-stereoscopic display system that users can see and feel the stereoscopic images when they see the pre-rendered elemental images through a lens array. The process of constructing elemental images using computer graphics is called image mapping. Viewpoint vector rendering (VVR) method is one of the image mapping algorithm specially designed for real-time graphics applications, which would not be affected by the size of the rendered objects or the number of elemental lenses used in the integral imaging system. This paper describes a new VVR framework which improved its rendering performance considerably. It also compares the previous VVR implementation with the new VVR work utilizing GPU and shows that newer implementation shows pretty big improvements over the old method.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.11a
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• pp.537-540
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• 2008

Tunnel structures are constructed even longer and more extensive these days than they were in the past. Because of this reason, breaking out a large scale of fire in tunnel structures is frequently. Recently, a noticeable event is reported that the temperature of inside of tunnel rises significantly when an oil car detonated in the tunnel and it reached 1,350$^{\circ}$C. It did damage to people who used the tunnel at that time and caused many demaged parts of tunnel to recover. To improve a fire resistance of tunnel, many methods are studied focused refractory concrete and mortar. This study deals with refractory mortar and is a part of initial basic step. In this study mechanical properties are considered before fire resistance test. As result of test for examination of mechanical properties, it is considered that a consistency and strength of refractory mortar in this study are suitable to construct.

• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.5
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• pp.98-106
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• 1998

This paper proposes an efficient learning algorithm for improving the training performance of the neural network. The proposed method improves the training performance by applying the backpropagation algorithm of a global optimization method which is a hybrid of a stochastic approximation and a conjugate gradient method. The approximate initial point for f a ~gtl obal optimization is estimated first by applying the stochastic approximation, and then the conjugate gradient method, which is the fast gradient descent method, is applied for a high speed optimization. The proposed method has been applied to the parity checking and the pattern classification, and the simulation results show that the performance of the proposed method is superior to those of the conventional backpropagation and the backpropagation algorithm which is a hyhrid of the stochastic approximation and steepest descent method.

• The KIPS Transactions:PartA
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• v.11A no.5
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• pp.303-312
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• 2004

In this paper, we propose a methodology solving the problem of the hardware-software partitioning in reconfigurable systems using a Y-chart design space exploration and implement a simulator according to the methodology. The methodology generates a mapping set between tasks and hardware elements using the hardware element model and the application model. We evaluate the throughput by simulating cases in each mapping set. With the throughput evaluation result, we can select the mapping case with the highest throughput. We also propose an heuristic improving the simulation time by reducing the mapping set on the basis of the relationship between workload and parallelism. Simulation results show that we can reduce the size of mapping set which poses difficulties on hardware-software partitioning by up to 80%.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.4 s.19
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• pp.85-93
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• 2005

It has been commonly assumed that during the 21st century, the korean peninsula may suffer huge earthquake damage to people, society, and economic system. The recent report of "Seoul Earthquake Response model development" conducted by the city of Seoul indicated that a magnitude 6.3 earthquake possibly hit Seoul, the capital of Korea. However, due to the insufficient amount of study on seismic performance of structures reflecting the various types of element peculiar to Korea application of the currently available earthquake damage evaluation methods has limitations. In order to conduct various studies on seismic hazards that are suitable for the actual conditions in Korea, therefore, fundamental studies first have to be properly conducted. The purpose of this study is to serve as the basis of establishing a reliable earthquake damage estimation system, and to provide essential data for the seismic damage evaluation of nonseismically reinforced concrete apartment structures. In this study, a standard type of nonseismically reinforced concrete apartments has been determined based on an extensive survey and careful review of such structures in Korea, and their performance level on seismic loading has been estimated.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2769-2779
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• 1997

This Paper Proposes an efficient method for improving the training performance of the neural networks using a hybrid of conjugate gradient backpropagation algorithm and dynamic tunneling backpropagation algorithm The conjugate gradient backpropagation algorithm, which is the fast gradient algorithm, is applied for high speed optimization. The dynamic tunneling backpropagation algorithm, which is the deterministic method with tunneling phenomenon, is applied for global optimization. Conversing to the local minima by using the conjugate gradient backpropagation algorithm, the new initial point for escaping the local minima is estimated by dynamic tunneling backpropagation algorithm. The proposed method has been applied to the parity check and the pattern classification. The simulation results show that the performance of proposed method is superior to those of gradient descent backpropagtion algorithm and a hybrid of gradient descent and dynamic tunneling backpropagation algorithm, and the new algorithm converges more often to the global minima than gradient descent backpropagation algorithm.