• 정보처리학회논문지A
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• 제18A권5호
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• pp.181-192
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• 2011

정보우위는 현대전에 있어 승패를 결정할 수 있는 요소로써 효과적인 정보교환을 통해 달성이 가능하다. 현재 해군함정에는 다양한 체계가 탑재되어 운용 중이나 체계 들이 군 독자표준(MIL-STD)과 상용(COTS) 장비들이 혼재 되어 구성이 되어 상호운용성이 제한되고 체계들 간의 정보교환이 어렵다. 이에 본 논문에서는 Publish Subscribe 모델 기반의 함정 체계 간 정보교환 아키텍처를 제안한다. 제안 아키텍처는 Publish Subscribe 모델을 통신 미들웨어로 적용하여 서로 다른 체계들 간의 상호운용성을 향상시키고 정보교환이 가능하도록 하였으며 확장성을 가질 수 있도록 하였다. 그리고 Publish Subscribe Broker의 부하 경감을 위해 개선된 트리 기반의 매칭 알고리즘을 제안하였다. 제안하는 트리 매칭 알고리즘은 트리를 구성하는 각 노드에서 Subscription의 Predicate 정보를 포함하여 이벤트 매칭 시간을 단축할 수 있다. 그리고 본 논문의 성능평가를 통해 제안한 트리매칭 알고리즘이 비교대상 알고리즘에 비해 이벤트 매칭시간을 절감 할 수 있는 것을 확인하였다.

• 한국컴퓨터정보학회지
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• 제14권1호
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• pp.265-271
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• 2006

F-HMIPv6(Fast-Hierarchical Mobile IP version 6) 네트워크에서는 단말의 이동을 관리하기 위해 MAP(Mobility Anchor Point)를 사용한다. 현재는 매크로 핸드오프 발생 시 단말로부터 가장 멀리 떨어져있는 MAP을 선택하는 기법을 사용하고 있다. 그러나 이 경우 하나의 큰 MAP으로 전체 부하가 몰리는 문제와 이동 단말과 MAP간의 긴 거리로 인해 통신 비용이 증가하는 문제가 있다. 이 연구에서는 단말의 이동속도와 패킷 전송률을 고려하여 통신 비용을 최소화 하는 비용 효율적인 MAP을 선택 기법을 제안한다. 이를 위해 통신 비용을 바인딩 업데이트 비용과 데이터 패킷 전달 비용으로 구분하고 이 통신 비용을 최소화하는 MAP의 크기를 수식으로 표현한다.

• Earthquakes and Structures
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• 제16권5호
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• pp.563-573
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• 2019

When generating spectrum-compatible artificial ground motion in engineering practices, the effect of the variation in fitting parameters on the distribution of the peak ground displacement (PGD) has not yet drawn enough attention. In this study, a method for simulating ground motion matching for multiple targets is developed. In this method, a frequency-dependent amplitude envelope function with statistical parameters is introduced to simulate the nonstationarity of the frequency in earthquake ground motion. Then, several groups of time-history acceleration with different temporal and spectral nonstationarities were generated to analyze the effect of nonstationary parameter variations on the distribution of PGD. The following conclusions are drawn from the results: (1) In the simulation of spectrum-compatible artificial ground motion, if the acceleration time-history is generated with random initial phases, the corresponding PGD distribution is quite discrete and an uncertain number of PGD values lower than the limit value are observed. Nevertheless, the mean values of PGD always meet the requirement in every group. (2) If the nonstationary frequencies of the ground motion are taken into account when fitting the target spectrum, the corresponding PGD values will increase. A correlation analysis shows that the change in the mean and the dispersion values, from before the frequencies are controlled to after, correlates with the modal parameters of the predominant frequencies. (3) Extending the maximum period of the target spectrum will increase the corresponding PGD value and, simultaneously, decrease the PGD dispersion. Finally, in order to control the PGD effectively, the ground motion simulation method suggested in this study was revised to target a specified PGD. This novel method can generate ground motion that satisfies not only the required precision of the target spectrum, peak ground acceleration (PGA), and nonstationarity characteristics of the ground motion but also meets the required limit of the PGD, improving engineering practices.

• 유통과학연구
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• 제15권7호
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• pp.35-41
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• 2017

Purpose - A product bundling is a marketing approach where multiple products or components are packaged together into one bundle solution. This paper aims to introduce an optimal bundle search problem (hereinafter called "OBSP") which may be embedded with online recommendation system to provide an optimized service considering pairwise discount and delivery cost. Research design, data, and methodology - Online retailers have their own discount policy and it is time consuming for online shoppers to find an optimal bundle. Unlike an online system recommending one item for each search, the OBSP considers multiple items for each search. We propose a mathematical formulation with numerical example for the OBSP and analyzed the complexity of the problem. Results - We provide two results from the complexity analysis. In general case, the OBSP belongs to strongly NP-Hard which means the difficulty of the problem while the special case of OBSP can be solved within polynomial time by transforming the OBSP into the minimum weighted perfect matching problem. Conclusions - In this paper, we propose the OBSP to provide a customized service considering bundling price and delivery cost. The results of research will be embedded with an online recommendation system to help customers for easy and smart online shopping.

• 유통과학연구
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• 제15권11호
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• pp.5-19
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• 2017

Purpose - According to the research findings, it proposes corresponding market promotion schemes, for Alipay, WeChat wallet and even other payment service providers and mobile internet companies to understand the factors which promote or hinder users' acceptance of mobile payment. Research design, data, and methodology - Statistic analysis of data and social science statistical software of IBM Statistics 23.0 and IBM SPSS AMOS 23.0 were adopted for all the data researched. Results - The technical features of the third party mobile payment and the task characteristics of users have positive influence on the matching degree between task and technology, and the matching degree between task and technology of the third party mobile payment has positive influence on the performance expectancy, effort expectancy and usage intention. The social influence, facilitating condition, price value and enjoyment motivation have significant and positive influence on users' intention of mobile payment adoption. The perceive security of the mobile fingerprint payment of users has positive influence on users' intention of usage. Conclusions - This research has the main contribution on the analysis on the key factors with influence on the third party mobile payment usage by utilizing the integrated model of UTAUT2 and TTF.

• 한국산업융합학회 논문집
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• 제27권3호
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• pp.555-561
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• 2024

This paper derives material properties of steel bars that simulate the distribution of stress and strain of prestressed tendons used in Prestressed concrete(PSC) girders and presents an optimal material model. ABAQUS software was used to establish the 3D solid model of the PSC girder and strand wire rope for a PS(Prestressed) tendon. Then the model of steel wire rope was imported into the Isight interface plugin directly through the ABAQUS and the Data Matching. In ABAQUS, the contact pairs were established, the models were meshed, the constraints were applied to solve the finite element model and an axial tension of 0.5m/s was loaded to analyze the stress and deformation distributions in the normal working range of the PS strand wire rope. In Data Matching, classical experimental data is fitted to the optimal material properties through finite element analysis and multi-objective optimization. The results show that the steel bar with optimal material properties presents a similar linear area and stress distribution with the PS tendon.

• 한국정보전자통신기술학회논문지
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• 제12권3호
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• pp.321-326
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• 2019

블록매칭을 이용한 잡음제거 방법은 영상 내의 이웃하는 블록들이 서로 비슷한 특질을 가지고 있다는 실험적 관찰에 기반한 방법으로서 잡음제거에 있어서 우수한 성능을 보인다. 그러나 블록매칭 잡음제거 방법은 유사한 블록을 찾고 수집하는 작업이 영상 내의 이웃 블록들을 대상으로 이루어지며 참조블록의 특질은 유사한 블록을 찾는 목적 외에는 사용되지 않는다. 따라서 가우스분포 상의 이상치(outlier)가 존재할 때 잡음제거 성능은 그 값의 영향을 받을 수 밖에 없다. 본 논문에서는 잡음에 오염된 영상을 이진화평면으로 분해하여 각 블록의 참 화소값의 범위를 추정하고 이를 근거로 이상치 값을 추정된 참 화소값의 범위내의 값으로 대치하는 방법을 통해 확장된 블록매칭 기법을 제안한다. 전통적인 가우시안 필터는 잡음제거 대상이 되는 화소와 이웃하는 화소들의 값을 모두 계산에 적용하므로 영상의 세부적인 특질이 보존되지 않는 단점이 있는데 이를 극복하기 위해 이진화평면을 구성하여 해당 화소의 참값 범위를 추정한 후 그 범위 안에 속하는 화소값만을 이용하여 잡음제거를 하므로 세부적인 특질이 보존될 수 있는 장점이 있다. 가우시안 필터의 장점과 블록매칭의 장점을 융합하는 방법을 통해 성능 향상을 꾀할 수 있을 것으로 예상되며 실제로 잡음이 추가된 다양한 영상을 통해 실험을 한 결과 잡음제거의 성능을 향상시킬 수 있음을 검증하였다.

• 한국컴퓨터산업학회논문지
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• 제4권12호
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• pp.953-964
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• 2003

서로 다른 형태와 크기를 가지는 탐색패턴과 움직임 벡터의 분포는 블록 정합 알고리즘에서 탐색 속도와 화질을 좌우하는 중요한 요소이다. 본 논문에서는 크로스패턴과 납작한 육각패턴을 이용한 새로운 고속 블록 정합 알고리즘을 제안한다. 이 알고리즘은 초기에 크로스 패턴을 이용하여 탐색영역의 중심 주위에 분포 확률이 높은 움직임이 작은 벡터를 우선 찾은 다음에 움직임이 큰 벡터에 대해서는 납작한 육각패턴을 이용하여 고속으로 움직임 벡터를 찾게 하였다. 실험결과, 제안된 알고리즘은 육각패턴 탐색 알고리즘에 비하여 움직임 벡터 추정의 속도에 있어서 약 0.2-6.2% 의 성능 향상을 보였으며 화질 또한 PSNR 기준으로 약 0.02-0.3105 의 향상을 보였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.6-8
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• 2005

Study that uses geometrical information in computer vision is lively. Problem that should be preceded is matching problem before studying. Feature point should be extracted for well matching. There are a lot of methods that extract feature point from former days are studied. Because problem does not exist algorithm that is applied for all images, it is a hot water. Specially, it is not easy to find feature point in endoscope image. The big problem can not decide easily a point that is predicted feature point as can know even if see endoscope image as eyes. Also, accuracy of matching problem can be decided after number of feature points is enough and also distributed on whole image. In this paper studied algorithm that can apply to endoscope image. SIFT method displayed excellent performance when compared with alternative way (Affine invariant point detector etc.) in general image but SIFT parameter that used in general image can't apply to endoscope image. The gual of this paper is abstraction of feature point on endoscope image that controlled by contrast threshold and curvature threshold among the parameters for applying SIFT method on endoscope image. Studied about method that feature points can have good distribution and control number of feature point than traditional alternative way by controlling the parameters on experiment result.

• 한국지하수토양환경학회지:지하수토양환경
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• 제20권3호
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• pp.51-64
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• 2015

In the present study, we develop two history matching techniques based on Markov chain Monte Carlo method where radial basis function and Gaussian distribution generated by unconditional geostatistical simulation are employed as the random walk transition kernels. The Bayesian inverse methods for aquifer characterization as the developed models can be effectively applied to the condition even when the targeted information such as hydraulic conductivity is absent and there are transient hydraulic head records due to imposed stress at observation wells. The model which uses unconditional simulation as random walk transition kernel has advantage in that spatial statistics can be directly associated with the predictions. The model using radial basis function network shares the same advantages as the model with unconditional simulation, yet the radial basis function network based the model does not require external geostatistical techniques. Also, by employing radial basis function as transition kernel, multi-scale nested structures can be rigorously addressed. In the validations of the developed models, the overall predictabilities of both models are sound by showing high correlation coefficient between the reference and the predicted. In terms of the model performance, the model with radial basis function network has higher error reduction rate and computational efficiency than with unconditional geostatistical simulation.