• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.643-645
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• 2022

많은 온라인 쇼핑몰에서 색상 기반 필터링 서비스나 추천 시스템을 제공하지만, 수동 분류는 많은 시간이 들고 오류 위험이 있다. 본 연구의 실험에서는 먼저 분석할 의류 이미지를 실루엣 분석으로 수행한 경우와 수행하지 않는 경우의 k-평균 군집화 알고리즘으로 가장 우세한 색상 군집의 중심값을 도출하는데, 만약 군집 개수가 2개 이상이면 보다 큰 군집의 중심값만을 고려한다. 이 중심값을 이용해 사전 학습한 k-최근접 이웃 알고리즘으로 색상 클래스를 분류한다. 실험 결과 실루엣 분석을 수행하지 않은 k-평균 군집화 알고리즘을 사용한 분류 방식이 정확도와 수행 시간 모두 매우 준수하였으나, 배경색이 존재하여 의류 색 분석에 영향을 줄 수 있는 경우 잘못 분류한다는 문제도 있다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.321-326
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• 2019

Image denoising methods based on block matching are founded on the experimental observations that neighboring patches or blocks in images retain similar features with each other, and have been proved to show superior performance in denoising different kinds of noise. The methods, however, take into account only neighboring blocks in searching for similar blocks, and ignore the characteristic features of the reference block itself. Consequently, denoising performance is negatively affected when outliers of the Gaussian distribution are included in the reference block which is to be denoised. In this paper, we propose an expanded block matching method in which noisy images are first decomposed into a number of bit-planes, then the range of true signals are estimated based on the distribution of pixels on the bit-planes, and finally outliers are replaced by the neighboring pixels belonging to the estimated range. In this way, the advantages of the conventional Gaussian filter can be added to the blocking matching method. We tested the proposed method through extensive experiments with well known test-bed images, and observed that performance gain can be achieved by the proposed method.

• Cartoon and Animation Studies
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• s.40
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• pp.211-242
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• 2015

Recently, the shrunk influence of printed cartoon has been superseded by the influence of Webtoon in the comic industry. Webtoon has gained popularity and interest by being served on internet quickly and easily. Their novel material and sympathetic topic have made it possible for many Webtoons to be reproduced into tv dramas and movies, so, the influence of them has been increased as the copyright industry of culture contents industry. The increasing interest for Webtoon has induced academic studies for the subject. Among the various studies in need on Webtoon, the most important study topics in need are 'Story' and 'Quality' which are criterion for readers to choose Webtoons to read. To create the Webtoon that are great at 'Story' and 'Quality', the study on plots should be preceded, which recast episodes organically through a logical causal relationship. Therefore, in this study, the plots of Webtoons have been analyzed through Rescue plot in and the Riddle plot in selected from the Kang Full's Webtoon series, 'mystery psychology horror season', which are evaluated as the great work at 'Story' and 'Quality.' The analysis was implemented based on Tobias' theory which suggests 'the characteristics of plot' and '8 principles for good plot.' First, Kang Full's webtoons were analyzed through 'the characteristics of plot' and '6 principles for good plot' which is modified from '8 principles of good plot' based on Tobias' theory. Applicability was checked if Tobias' theory could be applied to Kang Full's Webtoon checking through the scenes and contents of the Webtoon. (1) Tobias' 'the characteristics of plot' could be applied to both Rescue plot in and the Riddle plot in . (2) Among '6 principles for good plot', 5 principles are shown in The Lighting Store and all of the 6 principles in Neighbor. The result shows that Tobias theory could be applied to the plot of Webtoon. The fact that Kang Full's Webtoons are composed in a formulaic form could be identified through 'the characteristics of plot' and '6 principles for good plot' shown in Rescue plot in and the Riddle plot in .

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.41-55
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• 2017

This study predicts the average scores of top 150 PGA golf players on 132 PGA Tour tournaments (2013-2015) using data mining techniques and statistical analysis. This study also aims to predict the Top 10 and Top 25 best players in 4 different playoffs. Linear and nonlinear regression methods were used to predict average scores. Stepwise regression, all best subset, LASSO, ridge regression and principal component regression were used for the linear regression method. Tree, bagging, gradient boosting, neural network, random forests and KNN were used for nonlinear regression method. We found that the average score increases as fairway firmness or green height or average maximum wind speed increases. We also found that the average score decreases as the number of one-putts or scrambling variable or longest driving distance increases. All 11 different models have low prediction error when predicting the average scores of PGA Tournaments in 2015 which is not included in the training set. However, the performances of Bagging and Random Forest models are the best among all models and these two models have the highest prediction accuracy when predicting the Top 10 and Top 25 best players in 4 different playoffs.

• Journal of the Korean Magnetics Society
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• v.22 no.5
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• pp.157-161
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• 2012

Magnetism at the interfaces of rocksalt structured half-metals, NaN and CaN were investigated by use of the first-principles band calculations. The electronic structures for the simple interface and mixed interface systems were calculated by the FLAPW (full-potential linearized augmented plane wave) method. From the calculated number of electrons in muffin-tin spheres of each atom, we found, for the simple interface system, that the magnetic moment of the N atom in the CaN (NaN) side is increased (decreased) compared to those of inner N atoms. For the mixed interface system, the magnetic moments of the interface N atoms are similar to the averaged value for the inner N atoms in CaN and NaN side. Among four interface N atoms, the N atom connected to Na atoms in the upper and down layers has the largest magnetic moment and that connected to Ca atoms has the smallest. The number of p electrons in each N atom and the calculated density of states explain well the above situation.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.40 no.4
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• pp.74-84
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• 2003

Conventional test algorithms do not effectively detect faults by word-line and bit-line coupling noise resulting from the increase of the density of memories. In this paper, the possibility of faults caused by word-line coupling noise is shown, and new fault model, WLSFs(Word-Line Sensitive Fault) is proposed. We also introduce the algorithm considering both word-line and bit-line coupling noise simultaneously. The algorithm increases probability of faults which means improved fault coverage and more effective test algorithm, compared to conventional ones. The proposed algorithm can also cover conventional basic faults which are stuck-at faults, transition faults and coupling faults within a five-cell physical neighborhood.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.2
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• pp.13-20
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• 2005

An ad hoc wireless networks forms temporary network without the aid of fixed networks or centralized administration with a collection of wireless mobile hosts. In this case, it is necessary for one mobile host to enlist the aid of other hosts in forwarding a packet to its destination. This paper presents an efficient cluster-based routing protocol scheme for ad hoc networks. The cluster is used for path setup and data delivery. Our cluster-based routing algorithm is designed for the improvement of the load balance. Our simulation results show the improved performance for low mobility networks comparing with the previous works.

• Journal of Korean Society of Rural Planning
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• v.25 no.4
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• pp.65-76
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• 2019

농촌인구의 급격한 감소와 고령화 속에서 농촌의 지속가능성을 위한 방안으로 귀농·귀촌의 확대가 부각되고 있다. 본 연구는 귀농·귀촌인의 생활만족도 결정요인을 분석함으로써 도시민의 농촌 이주와 성공적인 정착을 촉진하기 위한 정책적 시사점을 제공하고자 한다. 본 연구는 특히 귀농·귀촌의 주요 동기가 소득이나 농촌의 자연환경이라는 점에서, 생활만족도를 자연환경만족도와 소득만족도로 구분하여 비교 분석하는 데 목적이 있다. 분석에는 순서형 로짓모형과 일반화 로짓모형을 사용하였고, 분석자료는 2016년 「귀농귀촌실태조사」 원자료이다. 분석결과, 귀농·귀촌인의 자연환경만족도는 상당히 높으나 소득만족도는 보통 수준에 미치지 못하였다. 귀농·귀촌의 이유가 자연환경이거나, 귀농·귀촌 시 가족의 지지가 있었거나, 귀농·귀촌 이후 주변 이웃들과 좋은 관계를 유지하거나, 지자체로부터 귀농·귀촌 지원을 받은 경우, 귀농·귀촌인의 소득만족도와 자연환경만족도가 모두 높았다. 이러한 공통적인 요인 이외에 귀농·귀촌인의 소득만족도와 자연환경만족도에 영향을 미치는 요인은 뚜렷한 차이를 보였다. 소득만족도는 현재 가구소득이나 귀농·귀촌 전·후 소득 변화와 같은 경제적 요인에 의해 영향을 받으나, 자연환경만족도는 귀농·귀촌 시 배우자의 동행 여부나 지역사회 참여와 같은 사회적 요인에 의해 주로 영향을 받는 것으로 나타났다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.249-249
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• 2015

ASR(Aquifer Storage Recharge) 또는 ASTR(Aquifer Storage Transfer Recharge)과 같은 직접적인 지하수 인공함양기법은 대수층을 활용하여 수자원을 공급하고 관리하기 위한 적극적인 방안으로 고려될 수 있다. 이 중 ASTR 기법은 대규모 충적층이 발달한 강변 또는 하구에서 저류지 수생식물의 정화작용과 층적층의 물리/화학/생물학적 여과 기능을 활용하여 양질의 상수원수를 확보할 수 있는 기법이며, 수질이 나쁜 하천수를 직접 취수하여 정수처리하는 것에 비해 정수비용이 상대적으로 적게 들어 투자대비 경제적인 상수원수 확보기술이라 할 수 있다. 본 연구에서는 하구에 염수 대수층이 위치해 있다고 가정하였으며, 이러한 염수 대수층 내에 담수 주입 변화에 따른 지하 담수체의 거동을 4가지 시나리오에 따라 모의 및 분석을 통해 조사하였다. 염수 대수층 내에서 8개의 주입정과 1개의 양수정이 설치되어 있다고 가정하였으며, 주입정은 동심원 상에 등간격으로 위치해 있으며, 양수정은 동심원 중에 위치해 있다고 가정하였다. 본 연구에서 구성된 시나리오로 첫 번째는 주입정 8개 모두에서 동시에 주입되며, 1개의 양수정을 통해 양수되는 것이며, 두 번째는 7개의 주입정에 주입 그리고 1개의 주입정 폐쇄, 세 번째는 6개 주입정에 주입 및 양수정과 서로 마주보는 2개 주입정 폐쇄, 그리고 마지막으로 6개 주입정에 주입 및 서로 이웃한 2개 주입정 폐쇄이다.

• Journal of the Institute of Convergence Signal Processing
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• v.13 no.1
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• pp.32-38
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• 2012

Each sensor node can know its location in several ways, if the node process the information based on its geographical position in sensor networks. In the localization scheme using GPS, there could be nodes that don't know their locations because the scheme requires line of sight to radio wave. Moreover, this scheme is high costly and consumes a lot of power. The localization scheme without GPS uses a sophisticated mathematical algorithm estimating location of sensor nodes that may be inaccurate. AHLoS(Ad Hoc Localization System) is a hybrid scheme using both GPS and location estimation algorithm. In AHLoS, the GPS node, which can receive its location from GPS, broadcasts its location to adjacent normal nodes which are not GPS devices. Normal nodes can estimate their location by using iterative triangulation algorithms if they receive at least three beacons which contain the position informations of neighbor nodes. But, there are some cases that a normal node receives less than two beacons by geographical conditions, network density, movements of nodes in sensor networks. We propose an indirect localization scheme for low-density sensor nodes which are difficult to receive directly at least three beacons from GPS nodes in wireless network.