• 한국정보통신학회논문지
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• 제20권3호
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• pp.464-470
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• 2016

본 논문에서는 음성의 특성 지표를 이용한 음성 인식용 데이터베이스 검증 시스템의 개발 내용을 소개하고 이 시스템의 핵심 기술인 음성 특성 지표 추출 알고리즘을 설명한다. 선행 연구에서는 본 시스템에 필요한 효과적인 음성 인식 성능 지표를 생성하기 위해 대표적인 음성 인식 성능 지표인 단어 오인식률(Word Error Rate, WER)과 상관도가 높은 여러 가지 음성 특성 지표들을 조합하여 새로운 성능 지표를 생성하였다. 생성된 음성 인식 성능 지표는 다양한 잡음 환경에서 각 음성 특성 지표를 단독으로 사용할 때보다 단어 오인식률과 높은 상관도를 나타내어 음성 인식 성능을 예측하는데 효과적임을 입증 하였다. 본 실험에서는 선행 연구에서 조합에 사용한 이차적인 음성 인식기에서 추출된 음향 모델 확률 값을 GMM(Gaussian Mixture Model) 음향 모델 확률 값으로 대체해 조합함으로써 시스템 구축 시 다른 음성 인식기에 대한 의존성을 감소시킨다.

• 생물정신의학
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• 제11권2호
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• pp.155-164
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• 2004

Objective:The present study examined the association between basic neurocognitive functions and emotional recognition in chronic schizophrenia. Furthermore, to Investigate cognitive variable related to emotion recognition in Schizophrenia. Methods:Forty eight patients from the Yongin Psychiatric Rehabilitation Center were evaluated for neurocognitive function, and Emotional Recognition Test which has four subscales finding emotional clue, discriminating emotions, understanding emotional context and emotional capacity. Measures of neurocognitive functioning were selected based on hypothesized relationships to perception of emotion. These measures included:1) Letter Number Sequencing Test, a measure of working memory;2) Word Fluency and Block Design, a measure of executive function;3) Hopkins Verbal Learning Test-Korean version, a measure of verbal memory;4) Digit Span, a measure of immediate memory;5) Span of Apprehension Task, a measure of early visual processing, visual scanning;6) Continuous Performance Test, a measure of sustained attention functioning. Correlation analyses between specific neurocognitive measures and emotional recognition test were made. To examine the degree to which neurocognitive performance predicting emotional recognition, hierarchical regression analyses were also made. Results:Working memory, and verbal memory were closely related with emotional discrimination. Working memory, Span of Apprehension and Digit Span were closely related with contextual recognition. Among cognitive measures, Span of Apprehension, Working memory, Digit Span were most important variables in predicting emotional capacity. Conclusion:These results are relevant considering that emotional information processing depends, in part, on the abilities to scan the context and to use immediate working memory. These results indicated that mul- tifaceted cognitive training program added with Emotional Recognition Task(Cognitive Behavioral Rehabilitation Therapy added with Emotional Management Program) are promising.

• Journal of the Korean Data and Information Science Society
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• 제23권1호
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• pp.39-51
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• 2012

군집분석은 마이크로어레이 발현자료에서 유전자 혹은 표본들의 유사한 특성을 갖는 연관구조를 조사하는데 중요한 도구이다. 본 논문에서는 마이크로어레이 자료에서 계층적 군집방법, K-평균법, PAM (partitioning around medoids), SOM (self-organizing maps) 그리고 모형기반 군집방법 들의 성능을 3가지 군집 타당성 측도인 내적 측도, 안정적 측도 그리고 생물학적 측도를 가지고 비교분석하고자 한다. 모의실험을 통해 생성된 자료와 실제 SRBCT (small round blue cell tumor) 자료를 가지고 여러 가지 군집방법들의 성능을 비교하였으며 그 결과 모의실험 자료에서는 거의 모든 방법들이 3가지 군집측도에서 원래 자료와 일치하는 좋은 군집 결과를 나타내었고 SRBCT 자료에서는 모의실험 자료처럼 명확한 군집화 결과를 보여주지는 않으나 내적측도의 실루엣 너비 (Silhouette width) 관점에서는 PAM 방법, SOM, 모형기반 군집방법 그리고 생물학적 측도에서는 PAM 방법과 모형기반 군집방법이 모의실험 결과와 비슷한 결과를 얻었고 안정적 측도에서 모형기반 군집방법이 다른 방법들보다 좋은 군집결과를 보여주었다.

• 한국전자통신학회논문지
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• 제12권6호
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• pp.997-1002
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• 2017

무선전파를 사용하는 지상통신과는 달리 1500[m/s] 속도의 음향채널이 사용되는 수중통신은 수중온도, 염도를 비롯한 통신환경에 민감할 뿐 아니라 3D 공간의 영향을 받는다. 3D 수중통신은 통신공간의 복잡성과 더불어 음파의 전파손실, 해저환경에서 발생되는 음향잡음 등에 민감하다. 본 연구에서는 이와 같은 3D 수중통신환경의 특성을 고려하여 3D 수중통신환경에서 운용되는 MANET을 대상으로 전송성능을 측정 분석하고 이를 토대로 수중 MANET 운용조건을 제시한다. 본 연구는 NS-2를 기반으로 구축한 수중통신 시뮬레이터를 사용하여 수행하며, 성능파라미터로는 처리율, 전송지연, 패킷손실율 및 소비에너지를 사용한다.

• 디지털융복합연구
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• 제8권4호
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• pp.205-213
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• 2010

오늘날 정보자원관리는 정보시스템 조직에 있어서 매우 중요한 요소이다. 따라서 민간부문 뿐만 아니라 많은 공공기관 역시 정보자원에 대한 관리를 강화하고 있다. 특히, 이러한 정보자원관리의 핵심 요소 중 하나가 서버의 성능관리이다. 따라서 서버의 성능을 결정하는 것은 서버의 구매조직에 있어서 중요한 이슈이다. 본 논문에서는 공공부문 정보화사업을 중심으로 서버의 성능측정 및 검증, 성능 측정 관련 국내 현황, 통합전산센터의 사례들 토대로 공공부문의 도입서버의 성능측정 및 검증 관련 이슈와 문제점 등을 살펴보고 성능측정 및 검증 관련 이슈와 문제점에 대한 해결방안으로 서버 성능에 영향을 미치는 요소를 재시하였으며, 아울러 공공부문의 환경적 요인을 고려한 서버의 성능측정 및 검증방안을 제시한다.

• 재활간호학회지
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• 제5권2호
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• pp.145-155
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• 2002

Purpose: This study tries to analyze the differences of memory performance and the metamemory of the elderly women according to degree of depression. And also it attempts to find the correlations among the sub-concepts of metamemory which have close relationships to the memory performance followed by the depression. Methods: The subjects of this study are 60 the elderly women who are older than sixty years in Busan city, Korea. We use the MIA(Dixon, et al., 1988) to measure metamemory and measure the memory performances such as the immeadiate word recall, the delayed word recall, the word recognition task, and face recognition. Results: 1. The average point of deprssed elderly womens' metamemory was significantly lower than non-depressed womens' point(t=10.86 p<.0017). Looking into subconcept of metamemory, depressed elderly womens' strategy, capacity, change, achievement point were significantly lower than non-depressed women. 2. In terms of immediate word recall and delayed word recall performances, depressed elderly women are significantly lower than non-depressed elderly women. 3. The degree of depressed elderly womens' metamemory(strategy, achievement, change, capacity) has significant correlations with immediate word recall performances. Conclusion: Metamemory has close relationship with the memory performance of elderly women. And also depressed elderly's sub-concepts of metamemory which have influences on their memory performance are different from non-depressed elderly's sub-concepts. Therefore, when we try to develop some programs to prevent memory decrease of elderly women, we should take these point into consideration.

• 반도체디스플레이기술학회지
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• 제13권2호
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• pp.23-28
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• 2014

For the reconstruction of three-dimensional (3D) shape of microscopic objects through shape from focus (SFF) methods, usually a single focus measure operator is employed. However, it is difficult to compute accurate depth map using a single focus measure due to different textures, light conditions and arbitrary object surfaces. Moreover, real images with diverse types of illuminations and contrasts lead to the erroneous depth map estimation through a single focus measure. In order to get better focus measurements and depth map, we have combined focus measure operators by using genetic algorithm. The resultant focus measure is obtained by weighted sum of the output of various focus measure operators. Optimal weights are obtained using genetic algorithm. Finally, depth map is obtained from the refined focus volume. The performance of the developed method is then evaluated by using both the synthetic and real world image sequences. The experimental results show that the proposed method is more effective in computing accurate depth maps as compared to the existing SFF methods.

• ETRI Journal
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• 제35권2호
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• pp.311-320
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• 2013

In most spectral clustering approaches, the Gaussian kernel-based similarity measure is used to construct the affinity matrix. However, such a similarity measure does not work well on a dataset with a nonlinear and elongated structure. In this paper, we present a new similarity measure to deal with the nonlinearity issue. The maximum flow between data points is computed as the new similarity, which can satisfy the requirement for similarity in the clustering method. Additionally, the new similarity carries the global and local relations between data. We apply it to spectral clustering and compare the proposed similarity measure with other state-of-the-art methods on both synthetic and real-world data. The experiment results show the superiority of the new similarity: 1) The max-flow-based similarity measure can significantly improve the performance of spectral clustering; 2) It is robust and not sensitive to the parameters.

• ETRI Journal
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• 제24권1호
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• pp.23-30
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• 2002

MPEG-7 Visual Standard specifies a set of descriptors that can be used to measure similarity in images or video. Among them, the Edge Histogram Descriptor describes edge distribution with a histogram based on local edge distribution in an image. Since the Edge Histogram Descriptor recommended for the MPEG-7 standard represents only local edge distribution in the image, the matching performance for image retrieval may not be satisfactory. This paper proposes the use of global and semi-local edge histograms generated directly from the local histogram bins to increase the matching performance. Then, the global, semi-global, and local histograms of images are combined to measure the image similarity and are compared with the MPEG-7 descriptor of the local-only histogram. Since we exploit the absolute location of the edge in the image as well as its global composition, the proposed matching method can retrieve semantically similar images. Experiments on MPEG-7 test images show that the proposed method yields better retrieval performance by an amount of 0.04 in ANMRR, which shows a significant difference in visual inspection.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 추계학술대회 논문집
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• pp.113-118
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• 2009

A designer regards the vibration system as a linear system. However, in real world, nonlinearity of a vibration system should exist caused by various factors like manufacturing conditions or uncertain material properties. So, properties of a spring and a damper which are consisting the vibration system have statistical distribution. Therefore, a designer needs to analyze the statistical nonlinearity in a vibration system. In this paper, $1^{st}$ Taylor series expansion method and univariate dimension reduction method apply to a performance measure of nonlinear vibration system, and compare each result. And then, merits and demerits of each method are discussed. For apply more actual problem, a performance measure population is estimated based on design variable samples like properties of spring or damper.