• 말소리와 음성과학
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• 제14권3호
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• pp.41-49
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• 2022

본 연구는 미국영어 화자의 평균적 음향 스펙트럼 분포를 확보한 후 과학영재학교 재학생의 영어발화 양상을 비교하여 상대적으로 우수한 지적 역량을 갖춘 우리나라 과학영재들의 초분절적 영어 유창성 양상을 규명하고, 그 근접성 정도가 영재학교 학생의 영어 과목 정기고사 성취도와 어떤 관계성을 갖는지 탐구하고자 진행되었다. 불과 수 초에서 수십 초에 불과한 음성녹음 데이터 위주로 분석을 시행했던 종래의 연구와 달리 총 4시간에 달하는 미국영어 원어민 화자(남성 15명, 여성 15명)의 음성녹음 자료를 MATLAB(R2022a; The Math Works) 코드로 분석하여 20 -20,000 Hz 주파수 범위 내의 대역별로 장기 스펙트럼 음향에너지 분포값을 확보했으며, 이를 기준으로 과학영재학교 1학년 신입생 80명의 녹음데이터 LTASS(long-term average speech spectrum) 분석 수치와 비교한 결과, 영어 과목 학기말고사의 학업성취도 수준이 상위 30% 이내인 학생들의 표본을 제외하고는 미국영어 음향에너지 분포와의 근접성이 통계적으로 유미하지 않다고 밝혀졌다. 영재학교 입학 후 영어 성취도를 예측하기 위한 지표를 발견하기 위해 수용성 어휘크기검사(receptive vocabulary size test), 학기 중 복수 회 실시한 영어 어휘 형성평가 퀴즈 누적 점수, 공인 영어말하기시험(English Speaking Proficiency Test, ESPT) 성취도를 추가 변량으로 하여 정기고사 성취도와의 상관관계 분석 및 각 변량 간 선형 회귀분석을 시행하였는데, 대개 유년시절 완성되는 영어 유창성을 측정하는 ESPT보다는, 1학기 및 2학기 초 실시한 수용성 어휘크기검사 및 수과학 분야 저빈도 어휘 위주 형성평가 점수와의 통계적 유의성이 월등히 높다는 사실이 관찰되었다. 따라서, 본 연구로부터 확보된 이론적 기반을 토대로 국내 영재학교에서는 발음교육보다 과학영재를 주요 대상으로 한 전문적 수준의 저빈도어휘 교육이 보다 효과적인 교수 요목이라 추정할 수 있다.

• 전기의세계
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• 제30권5호
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• pp.291-296
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• 1981

In the paper, in order to get the characteristics of the saccadic and the smooth pursuit movements of the oculomotor systems, a revised stochastic sampled data model suggested by Young et. al. was simulated and analyzed by using the MIMIC language. The results are summerized as follows; (1) The predictability to the sinusoidal inputs increased as the input frequency increased, but at the frequency of 1.0[Hz] the prediction started to decrease. (2) The responses of the system drifted when the system was open-looped. (3) The responses showed the transient state during the first period of the input waves, and then moved into the steady state.

• 한국경영과학회지
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• 제25권3호
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• pp.125-135
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• 2000

Many different statistical and artificial intelligent techniques have been applied to improve the predictability of credit rating. Hybrid models and systems have also been developed by effectively combining different modeling processes or combining the outcomes of individual models. In this paper, we introduced the rough set theory and developed a hybrid credit rating system that combines individual outcomes in terms of rough set theory. An experiment was conducted to compare the prediction capability of the system with those of other methods. The proposed system based on rough set method outperformed the others.

• Clinical and Experimental Pediatrics
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• 제48권10호
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• pp.1033-1037
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• 2005

Pediatric nephrotic syndrome is a well-known illness for its high relapsing rate. If we can predict the relapsing rate and the responses to the steroid therapy of individual patients with nephrotic syndrome, the predictability will be helpful in building a therapeutic plan. Here is my review of research articles on the risk factors for the prediction of relapsing nephrotic syndrome.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.235-238
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• 2003

Conventional stride predictor is useful for predicting data values which vary by a constant value. However, when the data values of shift, multiplication, and division instructions are predicted, the stride predictor can't show the best performance. Thus, we propose predictor using stride and shift to improve predictability. The predictor using stride and shift takes advantage of shift values as well as stride values, so that the overall coverage of prediction increases.

• Journal of Korean Neurosurgical Society
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• 제60권3호
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• pp.306-314
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• 2017

Endoscopic third ventriculostomy (ETV) has now become an accepted mode of hydrocephalus treatment in children. Varying degrees of success for the procedure have been reported depending on the type and etiology of hydrocephalus, age of the patient and certain technical parameters. Review of these factors for predictability of success, complications and validation of success score is presented.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.32-32
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• 2000

We present CReMeS, a CORBA-compliant design and implementation of a new real-time communication service. It provide for of a new real-time communication service. It provide for efficient, predictable, and scalable communication between information producers and consumers. Experimental results demonstrate that CReMeS can achieve better performance, predictability and scalability than a Real-Time implementaion of the CORBA Event Service.

• 한국유기농업학회:학술대회논문집
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• 한국유기농학회 2011년도 상반기 국제 심포지엄
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• pp.117-127
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• 2011

The paper outlines farming systems, including organic, in the UK, and provides a context for the use of biological nitrogen (N) from legumes, especially clovers, and manure in organic grassland systems. As N is dynamic within organic ruminant/grassland systems its pathway is described, including its loss and resultant environmental impact. Improvements in the predictability of response to biological N, its role in reducing the carbon footprint of ruminant products and potential to improve its efficiency are discussed.

• Bulletin of the Korean Chemical Society
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• 제16권12호
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• pp.1189-1193
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• 1995

The comparative molecular field analysis (CoMFA) method has been employed to correlate the apparent lipophilicity (logkw) and global lipophilicity (logP) for orthopramide derivatives. This study demonstrated that CoMFA is an excellent method in predicting the complex properties of molecules such as apparent lipophilicity (logkw) or lipophilicity (logP). The better predictability of lipophilicity by introducing logkw as an independent descriptor suggests that the HPLC capacity factor measured in a buffer of pH 7.5 (logkw) can be effectively utilized in the prediction of global lipophilicity.

• East Asian Economic Review
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• 제22권4호
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• pp.467-505
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• 2018

We propose a simple identification scheme for the causes of the violations of uncovered interest parity. Our method uses the serial dependence patterns of excess returns as a criterion for judging performance of economic models. We show that a mean reverting component in excess returns, representing a violation of uncovered interest parity, mainly contributes to generating different serial dependence patterns of excess returns: rational expectations risk premium models tend to generate negative serial dependence of excess returns, while expectational errors models tend to generate positive serial dependence.