• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12C
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• pp.1149-1155
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• 2007

In this paper, we propose a new overlap and add speech synthesis method which demonstrates improved continuity performance. The proposed method uses a weighted phase error function and minimizes the wave discontinuity of the synthesis signal, rather than the phase discontinuity, to estimate the mid-point phase. Experimental results show that the proposed method improves the continuity between the synthesized signals relative to the existing method.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.2D
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• pp.95-101
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• 2012

Layout Criteria are developed for an access mode's on and off facility at multiple transfer centers in this paper. Layout Criteria are location issues between a main mode and access modes in terms of the on and off facility one another. The total distance between them has been suggested to be minimized. In the distance calculation stairs are considered to be more difficult and than open space. On the other hand an escalator and an elevator are treated as easier than open space. Considering the number of people between on and off facility, the weighted average distance is suggested to be a MOE(Measure of effectiveness) for layout criteria at multiple transfer centers. Finally, the layout criteria are applied to the existing Kimpo airport terminal and some improvement ideas are suggested.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.127-136
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• 2012

In this research, customized management performance index for small and medium enterprises in solar energy area was developed. To acquire management performance index, first Delphi technique is applied and secondly, AHP(Analytic Hierarchy Process) used to give weight to each main index and then final management performance index was achieved. By developing management performance index, top management could manage their company more efficiently.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.273-282
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• 2006

In this paper, we propose index method introducing distance concept in word by a method weighting word. This index method is frequent representing an inquiry word and document index and compound noun or more than two adjoin nouns or noun phrase, the farther the distance between these nouns, the fewer selected ratio decreases in index point is the aiming, this choose guide word candidate by existent weight grant method and distance between candidates chose candidate finally in index within 3 sentences. Using in these way I document of 100 kinds of newspaper, scientific treatise, web document and so on, showed the correctness rate resulted of newspaper 92.03% scientific treatise 95% web document 73.33%.

• Journal of the Korea Society of Computer and Information
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• v.16 no.5
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• pp.101-107
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• 2011

The optimum weight vector is studied to remove interference and jamming signals in adaptive array antenna system. The optimum weight vector is calculated to apply a minimum variance algorithm and cost function in linearly constrained conditions, and accurately estimates target's signal. Adaptive array antenna system is the system which improves signal to noise ratio(SNR) and decreases interference and jammer power. Adaptive array antenna system delays at tap output of antenna array element. Each tap finally makes the complex signal of one in multiplier complex weight. In order to obtain optimum's weight calculation, optimum weight vector is used in this paper. After simulation, resolution is increased below $3^{\circ}$, and sidelobe is decreased about 10 dB.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.1
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• pp.17-23
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• 2004

This paper proposes to determine word senses in Korean language processing by corpus-based ontology learning. Our approach is a hybrid method. First, we apply the previously-secured dictionary information to select the correct senses of some ambiguous words with high precision, and then use the ontology to disambiguate the remaining ambiguous words. The mutual information between concepts in the ontology was calculated before using the ontology as knowledge for disambiguating word senses. If mutual information is regarded as a weight between ontology concepts, the ontology can be treated as a graph with weighted edges, and then we locate the least weighted path from one concept to the other concept. In our practical machine translation system, our word sense disambiguation method achieved a 9％ improvement over methods which do not use ontology for Korean translation.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.164-167
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• 2019

모바일 운영체제 중 안드로이드의 점유율이 높아지면서 모바일 악성코드 위협은 대부분 안드로이드에서 발생하고 있다. 그러나 정상앱이나 악성앱이 진화하면서 권한 등의 단일 특징점으로 악성여부를 연구하는 방법은 유효성 문제가 발생하여 본 논문에서는 다양한 특징점 추출 및 기계학습을 활용하여 극복하고자 한다. 본 논문에서는 APK 파일에서 구동에 필요한 다섯 종류의 특징점들을 안드로가드라는 정적분석 툴을 통해 학습데이터의 특성을 추출한다. 또한 추출된 중요 특징점을 기반으로 모델링을 하는 세 가지 방법을 제시한다. 첫 번째 방법은 보안 전문가에 의해 엄선된 132가지의 특징점 조합을 바탕으로 모델링하는 것이다. 두 번째는 학습 데이터 7,000개의 앱에서 발생 빈도수가 높은 상위 99%인 8,004가지의 특징점들 중 랜덤포레스트 분류기를 이용하여 특성중요도가 가장 높은 300가지를 선정 후 모델링 하는 방법이다. 마지막 방법은 300가지의 특징점을 학습한 다수의 모델을 통합하여 하나의 가중치 투표 모델을 구성하는 방법이다. 최종적으로 가중치 투표 모델인 앙상블 알고리즘 모델을 사용하여 97퍼센트로 정확도가 개선되었고 오탐률도 1.6%로 성능이 개선되었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.426-428
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• 2019

Digital images are compromised by noise for various reasons, such as camera sensor malfunctions and hardware errors. Since AWGN can be found in most of electronic equipment, AWGN removal is essential in various image processing processes. In this paper, we propose a filter algorithm that eliminates noise considering the pixel characteristics in AWGN environments. In order to compensate this, the filtering range is set considering the distribution of the pixels inside the mask. The output of the filter suitable for each component is adjusted by adding or subtracting the weight according to the normal distribution. Set the output. To evaluate the performance of the proposed algorithm, we compared it with the existing method using simulation.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.215-215
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• 2023

누수는 상수도시스템 내에서 발생할 수 있는 대표적인 비정상상황 중 하나이다. 누수는 발생 직후부터 경제적으로 직접적인 영향을 미치는 것과 함께 토사 내에서 유입되는 이물질 등으로 수질적인 문제 또한 발생할 수 있다. 이와 같은 이유로 누수는 발생에 대한 신속한 인지가 요구되며 이에 따른 신속한 복구가 필요하다. 하지만 기존의 데이터 기반 누수 탐사방법은 일반적으로 누수의 유무만을 인지하기 때문에 발생한 누수에 대한 규모의 정량적인 평가가 어려우며 이는 현재의 누수탐사 방법이 누수의 규모에 따른 복구 우선순위를 고려하기에는 부적절한 방법이라는 것을 의미한다. 따라서, 본 연구에서는 다중 누수시나리오 대해 누수 여부뿐만 아니라 누수 규모, 위치 등을 식별할 수 있는 수리해석 모델 기반 누수탐사 기법을 개발하였고, 이 기법을 활용하여 정량적인 누수량을 식별하여 누수 규모에 따른 누수복구 우선순위를 선정하는 프레임워크를 개발하였다. 이때, 누수복구 우선순위 선정 시 수리학적, 경제적, 사회적 인자 등을 고려하였으며, 각 인자 별 가중치를 통해 최종 복구 우선순위를 선정하였다.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.88-95
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• 2017

In this paper, we present a saliency detection method using entropy weight and Weber contrast in the wavelet transform domain. Our method is based on the commonly exploited conventional algorithms that are composed of the local bottom-up approach and global top-down approach. First, we perform the multi-level wavelet transform for the CIE Lab color images, and obtain global saliency by adding the local Weber contrasts to the corresponding low-frequency wavelet coefficients. Next, the local saliency is obtained by applying Gaussian filter that is weighted by entropy of wavelet high-frequency subband. The final saliency map is detected by non-lineally combining the local and global saliencies. To evaluate the proposed saliency detection method, we perform computer simulations for two image databases. Simulations results show the proposed method represents superior performance to the conventional algorithms.