• 근관절건강학회지
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• 제20권1호
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• pp.10-21
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• 2013

Purpose: This study was conducted to describe the meaning units of the teaching experience of Tai Chi instructor with nursing background, consequently to expand areas where nurses can work. Methods: Participants were four nurses who have worked as Tai Chi instructors for 5 to 8 years. An in-depth interview was conducted from June, 2010 to February, 2011. Each interview took 40 min to 4 hours. The data were analyzed with qualitative content analysis, by repeatedly listening to the tapes and reading the transcription to find the emerged meaningful words, phrases, and sentences. Results: Through the content analysis, 19 theme clusters were emerged and grouped together into seven categories: 'establishing my identity as an instructor', 'enjoying myself practicing Tai Chi', 'being confident about teaching Tai Chi with nursing background', 'exploring better ways to teach and motivate the class', 'feeling good about helping people to be healthy', 'accepting teaching Tai Chi as a lifetime job', 'contributing to health promotion with Tai Chi." Conclusion: Teaching and helping others to promote health were parts of nursing. Tai Chi can be used to promote health in the low-income population with limited access to health care system.

• 대한정형도수물리치료학회지
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• 제23권2호
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• pp.1-8
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• 2017

Background: The purpose of this study was to investigate the effects on static balance and disability in chronic low back pain with lumbar rotation extension subgroup of trascranial direct current stimulation (tDCS) and lumbar motor control exercise (MCE). Methods: In 40 male low back pain with lumbar rotation extension subgroup subjects were recruited for the study. Subjects were randomly allocated into two groups. Experimental groups received tDCS and MCE, Control groups received sham-tDCS and MEC. Before and after intervention, measured in surface area, whole path length and Roland-Morris low back pain questionnaire (RMQ). Results: Showed a significant static balance and disability from the experimental groups compared to the control group. Showed a no significant RMQ score from experimental groups compared to the control group. Conclusions: tDCS and lumbar MCE showed the increased static balance in chronic low back pain with lumbar rotation extension subgroup.

• 한국멀티미디어학회논문지
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• 제13권3호
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• pp.417-429
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• 2010

배경 제거를 위한 많은 연구가 있어왔음에도 기존의 방법들을 실제 환경에 효과적으로 적용하기에는 아직도 많은 어려움이 있다. 본 논문에서는 배경 제거를 실제 환경에 적용하면서 만나게 되는 다양한 문제들을 해결하기 위해 기존의 가우시안 혼합 모델 방법을 개선하는 배경 제거 방법을 제안한다. 첫째로 제안한 방법은 낮은 계산량을 얻기 위하여 고정 소수점 연산을 이용하였다. 배경 모델링 과정은 변수들의 높은 정밀도를 요구하지 않기 때문에 제안한 방법에서는 고정 소수점 변수를 이용함으로서 정확도를 유지한 채 연산 속도를 크게 향상시킬 수 있었다. 두 번째로 보행자들의 높은 통행량 하에서 흔히 발생되는 전경 객체가 배경으로 학습되는 문제를 피하기 위하여 각 화소의 정적인 정도를 이용하여 배경 모델의 학습 속도를 동적으로 조절하였다. 즉 최근 화소 값에 큰 차이가 발생한 화소들은 배경 영역이 아닐 가능성이 높으므로, 이에 대해 낮은 학습 비율을 적용함으로써 높은 통행량을 보이는 영상에서도 유효한 배경 모델을 유지하는 것이 가능했다. 마지막으로 영상의 빠른 밝기값 변화에 대응하기 위하여 연속한 두 프레임 간의 밝기 변화를 선형 변환으로 추정하였으며, 훈련된 배경 모델을 이 선형 변환에 의해 직접적으로 변환시켜 주었다. 제안한 고정 소수점 연산에 의해 기존의 가우시안 혼합 배경 모델링 방법을 구현한 결과 배경 제거에 기존 방법의 약 30%의 연산시간 만을 필요로 하였다. 또한 제안한 방법을 실제 환경의 영상에 적용한 결과 기존의 배경 제거 방법에 비해 검출률이 약 20% 향상되었으며, 오검률은 5~15% 가량 낮아지는 것을 확인하였다.

• 한국음향학회지
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• 제41권1호
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• pp.64-69
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• 2022

배경 음악은 소비자에게 전달하고자 하는 목표 메시지와 동시에 제시된다. 이 과정에서 필요한 주요 정보를 일정 시간 유지해야 하고, 이러한 정보의 유지에는 청각 작업기억이 필요하다. 일반적으로 배경음악은 그 제시 시간의 제약을 받는다. 이때 배경음악의 시간적 압축이 가능하지만 이 시간적 압축이 작업기억과 구매 의사 결정과정에 미치는 영향에 대해 구체적인 내용이 알려져 있지 않다. 본 연구에서는 이 배경음악의 압축 비율의 변화가 청각 작업기억과 구매 의사결정 과정에 미치는 영향을 분석하고자 했다. 대상은 정상 청각 기능이 확인된 이십대 초반 동질 집단 남녀 37명으로 하였다. 이 집단의 구매성향을 다차원 분석으로 분석하여 고관여도와 저관여도 제품을 선정하였다. 자극 제시 조건은 배경 음악이 없는 조건, 무압축 조건, 저압축 조건, 고압축 조건 으로 구분하였다. 구매에 필요한 청각정보를 전산 합성하여 배경음악과 관련된 4가지 조건에서 무작위로 제시했다. 이 반응 결과를 반복측정분산으로 분석하여 유의수준 0.05에서 판단했다. 결과에서 여러 배경음악 조건에서 청각 작업기억의 가용 총량은 변화가 없었지만, 고관여도인 경우에 저관여도 제품보다 청각 작업기억 자원을 더 사용한 것이 확인되었다. 그러나 이것이 항상 상응하는 최종 구매의사 변화로 연결되지는 않았다. 이러한 분석은 구매의사 결정과정에서 배경음악의 압축이나 청각 작업기억의 역할을 살펴보는 유용한 접근법으로 응용될 수 있을 것으로 판단된다.

• Journal of Astronomy and Space Sciences
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• 제32권4호
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• pp.289-295
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• 2015

By adopting a 2D time-dependent wave code, we investigate how mode-converted waves at the Ion-Ion Hybrid (IIH) resonance and compressional waves propagate in 2D density structures with a wide range of field-aligned wavenumbers to background magnetic fields. The simulation results show that the mode-converted waves have continuous bands across the field line consistent with previous numerical studies. These waves also have harmonic structures in frequency domain and are localized in the field-aligned heavy ion density well. Our results thus emphasize the importance of a field-aligned heavy ion density structure for ultra-low frequency wave propagation, and suggest that IIH waves can be localized in different locations along the field line.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.1183-1186
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• 1998

Adaptive nois canceller can extract the noiseremoved spech in noisy speech signal by adapting the filter-coefficients to the background noise environment. A kind of LMS algorithm is one of the most popular adaptive algorithm for noise cancellation due to low complexity, good numerical property and the merit of easy implementation. However there is the matter of increasing misadjustment at voiced speech signal. Therefore the demanded speech signal may be extracted. In this paper, we propose a fast and noise robust wavelet packet adaptive noise canceller with NLMS-SUM method LMS combined algorithm. That is, we decompose the frequency of noisy speech signal at the base of the proposed analysis tree structure. NLMS algorithm in low frequency band can efficiently dliminate the effect of the low frequency noise and SUM method LMS algorithm at each high frequency band can remove the high frequency nosie. The proposed wavelet packet adaptive noise canceller is enhanced the more in SNR and according to Itakura-Satio(IS) distance, it is closer to the clean speech signal than any other previous adaptive noise canceller.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 추계학술대회
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• pp.109-112
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• 1995

This paper is a study on the detection of the significant point in ECG signal. ECG signal consists of two components; one is high frequency component to be detected and the other is low frequency component to be removed. AR model is appropriate for modelling and removing the low frequency component. AR model coefficients are updated by artificial neural network algorithm. We can remove the background noise(low frequency) by passing through the AR filter. The remaining signals which include high frequency noise are sent to the matched filter to pass only the signal which we want to extract. The template used in matched filter is updated adaptively.

• 한국미생물·생명공학회지
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• 제17권6호
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• pp.645-654
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• 1989

The historical background of fish fermentation in Asia and other regions of the world is reviewed. The classification of fermented fish products in different regions is attempted with respect to the technology involved. The fermented fish products are largely divided into three groups; (1) high-salt, (2) low-salt, and (3) non-salt fermented. High-salt fermented products contain over 20％ of salt and are represented by fish sauce, cured fish and fish paste. Low-salt fermented products contain 6-18％ salt and are subdivided into lactic fermented products with added carbohydrate and acid pickling associated with low temperature. Non-salt fermented products are represented by the solid state bonito fermentation and some alkaline fermentation of flat fishes. The local names of the products in different regions are compared and classified accordingly. The microbial and biochemical changes during fish fermentation are considered in relation to the quality of the products, and their wholesomeness is reviewed.

• 전자공학회논문지S
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• 제35S권3호
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• pp.131-143
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• 1998

This paper presents a high performance disparity extraction algorithm that generate a dense and accurate disparity map using low-resolution disparity histogram. Disparity distribution of background and object areas can besegmented from low-resolution disparity histogram. These information can be used to reduce the search area and search range of the high-resolution image resulting reliable disparity information in high speed. The computationally efficient matching pixel count(MPC) similarity measure technique is useed extensively toremove the redundancies inherent in the area-based matching method, and also results robust matching at the boundary region. Resulting maches are further improved using iterative support algorithm and post processing. We have obtained good results on randomdot stereogram and real images obtained in our carmera system.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.368-371
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• 2008

An extensometer system to measure strain and displacement of cylindrical fatigue specimen in a autoclave of high temperature and high pressure environment has been developed by KEPRI. The extensometer reads the displacement caused by fatigue loads at the target length of the specimen installed inside the autoclave. The performance of the extensometer were tested at 15MPa, $315^{\circ}C$ of a operating pressurized water reactor. Two LVDT's of magnet type were connected to the extensometer and used for converting the fatigue displacement to electronic signal. The device is being used for developing environmental fatigue curve of CF8M cast austenitic stainless steel (CASS) in the test condition of low cycle and low strain. This paper introduces the background and results of the development.