• 한국음향학회지
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• 제14권3호
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• pp.90-96
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• 1995

잡음섞인 관측데이타로부터 AR 모수를 추정하는 방법을 제안하였다. AP 방법이라고 이름붙인 이 방법은 단순하고도 신뢰성있는 적응예측기를 이용하려는 시도의 산물이다. 잡음섞인 입력수열로부터 계산된 AR 모수의 추정치보다 예측수열로부터 계산된 AR 모수의 추정치가 원래의 모수에 스펙트럼상의 거리가 더 가깝다는 것을 이론적으로 증명하였다. 실제 음성 신호와 칼만필터를 사용한 실험결과도 이론과 일치함을 보였다. 대략적으로, AP방법으로 계산된 추정치를 사용하였을때의 잡음감쇠성능은 잡음섞인 입력수열로부터 계산된 AP 모수의 추정치를 사용하였을때보다는 우수하였고, EM반복법에 의한 추정치를 사용하였을때보다는 약간 못한 것으로 나타났다. 그러나, 제안된 방법은 그 단순성으로 인하여 경우에 따라 더 복잡한 다른 방법의 대안으로 사용될 수 있을 것이다.

• BMB Reports
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• 제46권1호
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• pp.41-46
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• 2013

Identifying genes indispensable for an organism's life and their characteristics is one of the central questions in current biological research, and hence it would be helpful to develop computational approaches towards the prediction of essential genes. The performance of a predictor is usually measured by the area under the receiver operating characteristic curve (AUC). We propose a novel method by implementing genetic algorithms to maximize the partial AUC that is restricted to a specific interval of lower false positive rate (FPR), the region relevant to follow-up experimental validation. Our predictor uses various features based on sequence information, protein-protein interaction network topology, and gene expression profiles. A feature selection wrapper was developed to alleviate the over-fitting problem and to weigh each feature's relevance to prediction. We evaluated our method using the proteome of budding yeast. Our implementation of genetic algorithms maximizing the partial AUC below 0.05 or 0.10 of FPR outperformed other popular classification methods.

• Asian Pacific Journal of Cancer Prevention
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• 제17권4호
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• pp.2229-2233
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• 2016

Background: Breast cancer is one of the most common cancers among women in the world. Early detection is necessary to improve outcomes and decrease related costs. The aim of this study was to assess the predictive power of health locus of control as a modifying factor in the Health Belief Model (HBM) for prediction of breast self-examination. Materials and Methods: In this cross- sectional study, 400 women selected through the convenience sampling from health centers. Data were collected using part of the Champion's HBM scale (CHBMS), the Health Locus of Control Scale and a self administered questionnaire. For data analysis by SPSS the independent T test, Chi square test, logistic and linear regression modes were appliedl. Results: The results showed that 10.9% of the participants reported performing BSE regularly. Health locus of control did not act as a predictor of BSE as a modifying factor. In this study, perceived self-efficacy was the strongest predictor of BSE performance (Exp (B) =1.863) with direct effect, while awareness had direct and indirect influence. Conclusions: For increasing BSE, improvement of self-efficacy especially in young women and increasing knowledge about cancer is necessary.

• 유통과학연구
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• 제13권10호
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• pp.35-44
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• 2015

Purpose - This study focuses on the voluntary performance of franchise customers as a result of inherent social motives. It examines the interplay between traits and motives, and their influence on customer citizenship behavior (CCB). Research design, data, and methodology - Empirical evidence from the responses of 288 university students, validates that individual traits are related to social motives, which provides a basis for CCB. The results suggest that social motives do influence an individual's intention to provide feedback, advocate, help, or tolerate. Structural Equation Modeling using AMOS 22 was employed to test the concept. Results - This research illustrates that extraversion has a dominant influence on affiliation motive, and agreeableness is a strong predictor of the altruism motive among franchise customers. Conclusion - All three traits have positive influence on the power motive. Power and altruism motives were found to be the main determinants of CCB in a social setting. The power motive was a better predictor of advocacy and tolerance. The altruism motive significantly predicted helping and tolerance. Feedback was only positively predicted by the affiliation motive.

• 영어어문교육
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• 제9권1호
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• pp.153-171
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• 2003

The scores of TOEFL, TOEIC, and TEPS have been increasingly used for many purposes in Korea. In particular, these test scores are being used as a predictor for determining readiness for and success in college work, or as a measure of the testees' overall English proficiency. Nonetheless, studies have rarely proposed that the validity of the test scores is used for either purpose. As a preliminary step to explore the predictive validity of the test scores, we collected the scores of TOEFL, TOEIC, and TEPS from thirty students of a university as well as their cumulative grade point averages (GPAs). The correlations between the test scores and GPAs show that TOEFL will be most likely to have the highest validity coefficient as a predictor for determining success in college work as well as a measure of overall English proficiency. Although this study has a few limitations such as the small number of participants, their homogeneousness as a group, etc., it provides some insight into the use of the three tests for college admissions and measurement of overall English proficiency and suggests need for conducting further validation studies in these areas.

• 한국컴퓨터정보학회논문지
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• 제21권9호
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• pp.1-9
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• 2016

Recent embedded processors employ set-associative L1 instruction cache to improve the performance. The energy consumption in the set-associative L1 instruction cache accounts for considerable portion in the embedded processor. When an instruction is required from the processor, all ways in the set-associative instruction cache are accessed in parallel. In this paper, we propose the technique to reduce the energy consumption in the set-associative L1 instruction cache effectively by accessing only one way. Gshare branch predictor is employed to predict the instruction flow and determine the way to fetch the instruction. When the branch prediction is untaken, next instruction in a sequential order can be fetched from the instruction cache by accessing only one way. According to our simulations with SPEC2006 benchmarks, the proposed technique requires negligible hardware overhead and shows 20% energy reduction on average in 4-way L1 instruction cache.

• ETRI Journal
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• 제33권1호
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• pp.27-31
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• 2011

This paper addresses estimating the frequency of a cisoid in the presence of white Gaussian noise, which has numerous applications in communications, radar, sonar, and instrumentation and measurement. Due to the nonlinear nature of the frequency estimation problem, there is threshold effect, that is, large error estimates or outliers will occur at sufficiently low signal-to-noise ratio (SNR) conditions. Utilizing the ideas of averaging to increase SNR and weighted linear prediction, an optimal frequency estimator with smaller threshold SNR is developed. Computer simulations are included to compare its mean square error performance with that of the maximum likelihood (ML) estimator, improved weighted phase averager, generalized weighted linear predictor, and single weighted sample correlator as well as Cramer-Rao lower bound. In particular, with smaller computational requirement, the proposed estimator can achieve the same threshold and estimation performance of the ML method.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제13권3호
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• pp.181-195
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• 2009

Students' approaches to mathematical problem solving vary greatly with each other. The main objective of the current study was to compare students' performance with different thinking styles (divergent vs. convergent) and working memory capacity upon mathematical problem solving. A sample of 150 high school girls, ages 15 to 16, was studied based on Hudson's test and Digit Span Backwards test as well as a math exam. The results indicated that the effect of thinking styles and working memory on students' performance in problem solving was significant. Moreover, students with divergent thinking style and high working memory capacity showed higher performance than ones with convergent thinking style. The implications of these results on math teaching and problem solving emphasizes that cognitive predictor variable (Convergent/Divergent) and working memory, in particular could be challenging and a rather distinctive factor for students.

• ETRI Journal
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• 제29권5호
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• pp.607-613
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• 2007

Most signal-to-noise ratio (SNR) estimation techniques in digital communication channels derive the SNR estimates solely from samples of the received signal after the matched filter. They are based on symbol SNR and assume perfect synchronization and intersymbol interference (ISI)-free symbols. In severe channel distortion where ISI is significant, the performance of these estimators badly deteriorates. We propose an SNR estimator which can operate on data samples collected at the front-end of a receiver or at the input to the decision device. This will relax the restrictions over channel distortions and help extend the application of SNR estimators beyond system monitoring. The proposed estimator uses the characteristics of the second order moments of the additive white Gaussian noise digital communication channel and a linear predictor based on the modified-covariance algorithm in estimating the SNR value. The performance of the proposed technique is investigated and compared with other in-service SNR estimators in digital communication channels. The simulated performance is also compared to the Cram$\acute{e}$r-Rao bound as derived at the input of the decision circuit.

• Journal of information and communication convergence engineering
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• 제11권1호
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• pp.50-55
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• 2013

In this paper, we propose a parallel intra-operation unit and a memory architecture for improving the performance of intra-prediction, which utilizes spatial correlation in an image to predict the blocks and contains 17 prediction modes in total. The design is targeted for portable devices applying H.264/AVC decoders. For boosting the performance of the proposed design, we adopt a parallel intra-operation unit that can achieve the prediction of 16 neighboring pixels at the same time. In the best case, it can achieve the computation of one luma $16{\times}16$ block within 16 cycles. For one luma $4{\times}4$ block, a mere one cycle is needed to finish the process of computation. Compared with the previous designs, the average cycle reduction rate is 78.01%, and the gate count is slightly reduced. The design is synthesized with the MagnaChip $0.18{mu}m$ library and can run at 125 MHz.