• 한국정보통신학회논문지
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• 제8권3호
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• pp.721-726
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• 2004

영상의 이진화는 문자 인식, 영상 분석 등 다양한 영상 처리 분야의 전처리 과정으로 자주 적용되고 있다. 영상 이진화는 임계치의 설정에 따라 처리 성능이 좌우되며, 대부분의 기존 이진화 방법은 밝기 값의 히스토그램을 사용하여 평균 밝기 값이나 히스토그램의 골짜기를 임계치로 설정한다. 이와 같은 방법은 양봉의 특징을 보이지 않거나 특정 영상을 추출하려는 경우에는 적절한 임계치를 얻기 어렵다. 따라서 본 논문에서는 그레이 스케일 영상에서 밝기 값을 여러 구간으로 분할하여 각 구간의 밝기 평균값을 구하고, 두 개의 구간에 대해 평균값 사이의 거리를 각 구간에서 평균값과 양극과의 거리 비율로 나누어서 계산된 값을 두 개의 구간을 합친 새로운 구간의 임계치로 설정한다. 최종적으로 하나의 구간이 생성될 때까지 구간 통합과 임계값 계산을 반복함으로써 이진화 임계값을 산출한다. 제안된 이진화 방법의 성능을 평가하기 위하여 다양한 종류의 영상에 적용한 결과, 기존의 이진화 방법들보다 효율적인 것을 확인하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1792-1795
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• 2002

In this paper we investigated effects of the presentation time interval on a subjective evaluation test of loudness. We carried out paired comparison experiments of pure tones loudness with changing the time interval of the comparison. As the results, two characteristic effects were obtained. The difference limen of the loudness was almost proportional to the time interval in below 10 s and was almost the same value of 1.5 dB in above 10 s. On the other hand, the effect of the presentation order was smallest at the time interval of about 5 s.

• 품질경영학회지
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• 제26권3호
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• pp.60-70
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• 1998

When driving the expected loss generated by the quality deviation, Taguchi(1991b) assumed that an objective characteristic has the uniform distribution in its control limit. But it is reasonable to assume that an objective characteristic has the normal distribution than the uniform distribution. Since the triangular distribution is similar to the normal distribution and easy to handle as well, in this article, we first find the optimum measurement interval and the optimum control limit under the triangular distribution. Under the normal assumption, the modified method is compared to Taguchi's. Secondly we find the numerical value solution of the optimum measurement interval and the optimum control limit under the normal distribution.

• 음성과학
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• 제12권4호
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• pp.43-52
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• 2005

The common form of pre-emphasis filter is $H(z)\;=\;1\;- az^{-1}$, where a typically lies between 0.9 and 1.0 in voiced signal. Also, this value reflects the degree of filter and equals R(1)/R(0) in Auto-correlation method. This paper proposes a new flattening algorithm to compensate the weaked high frequency components that occur by vocal cord characteristic. We used interval information of LSP to estimate formant frequency. After obtaining the value of slope and inverse slope using linear interpolation among formant frequency, flattening process is followed. Experimental results show that the proposed algorithm flattened the weaked high frequency components effectively. That is, we could improve the flattened characteristics by using interval information of LSP as flattening factor at the process that compensates weaked high frequency components.

• 한국콘텐츠학회논문지
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• 제8권2호
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• pp.67-73
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• 2008

최근 이동통신의 급격한 발전으로 인해 IP를 기반으로 한 네트워크에서 제공되던 멀티미디어 서비스가 이동단말기에서도 가능케 되고 있다. 셀룰러 망에서는 다양한 멀티미디어 서비스를 제공하기 위해 SIP(Session initiation Protocol)를 호 설정 프로토콜로 사용하는 추세이다. 그러나 높은 비트 에러율, 좁은 대역폭을 사용하는 셀룰러 망에서 기존 SIP RTI(Retransmission Time Interval : 재전송 타임 간격) 값은 오히려 네트워크 성능을 저하시키고 호 설정 시간을 지연시킨다. 본 논문에서는 시뮬레이터 NS-2를 이용하여 셀룰러 망에서의 호 설정 시간을 최소화하는 적합한 SIP RTI 값을 찾아 성능을 향상하였고 그 값을 적용하여 SIP를 이용한 홈 네트워크를 설계, 구현하였다.

• Journal of Information Processing Systems
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• 제18권4호
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• pp.500-509
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• 2022

With the rapid development of educational informatization, teaching methods become diversified characteristics, but a large number of information data restrict the evaluation on teaching subject and object in terms of the effect of English education. Therefore, this study adopts the concept of incremental learning and eigenvalue interval algorithm to improve the weighted decision tree, and builds an English education effect evaluation model based on association rules. According to the results, the average accuracy of information classification of the improved decision tree algorithm is 96.18%, the classification error rate can be as low as 0.02%, and the anti-fitting performance is good. The classification error rate between the improved decision tree algorithm and the original decision tree does not exceed 1%. The proposed educational evaluation method can effectively provide early warning of academic situation analysis, and improve the teachers' professional skills in an accelerated manner and perfect the education system.

• 한국음향학회지
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• 제21권7호
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• pp.665-670
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• 2002

프리엠퍼시스 필터의 일반적인 형태는 y(n)=s(n)-As(n-1)이고, 여기서 A값은 유성음의 경우 0.9∼l.0사이의 값이다. 또한 A값은 프리엠퍼시스의 기울기 값을 반영하고 기존의 방법에서는 자기상관계수 값인 R(1)/R(0)를 사용한다. 본 논문에서는 성문특성으로 인해 고주파특성이 약화되는 것을 보상하기 위하여 새로운 평탄화 기법을 제안한다. 우선 포만트 주파수 예측을 위해 LSP 파라미터의 간격정보를 사용하였다. 찾아진 포만트 주파수들간의 선형보간을 통해 기울기와 역기울기 값을 구하여 평탄화 과정을 수행한다. 실험결과에서는 제안한 방법이 기존의 방법보다 평탄화 특성이 우수한 것으로 나타났다. 즉 본 논문에서는 약화된 고주파 성분을 보상하는 과정에서 평탄화 요소로 LSP의 간격정보를 사용하였다.

• Korean Journal of Radiology
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• 제22권3호
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• pp.435-441
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• 2021

Objective: To evaluate the usefulness of the ventricular volume percentage quantified using three-dimensional (3D) brain computed tomography (CT) data for interpreting serial changes in hydrocephalus. Materials and Methods: Intracranial and ventricular volumes were quantified using the semiautomatic 3D threshold-based segmentation approach for 113 brain CT examinations (age at brain CT examination ≤ 18 years) in 38 patients with hydrocephalus. Changes in ventricular volume percentage were calculated using 75 serial brain CT pairs (time interval 173.6 ± 234.9 days) and compared with the conventional assessment of changes in hydrocephalus (increased, unchanged, or decreased). A cut-off value for the diagnosis of no change in hydrocephalus was calculated using receiver operating characteristic curve analysis. The reproducibility of the volumetric measurements was assessed using the intraclass correlation coefficient on a subset of 20 brain CT examinations. Results: Mean intracranial volume, ventricular volume, and ventricular volume percentage were 1284.6 ± 297.1 cm³, 249.0 ± 150.8 cm³, and 19.9 ± 12.8%, respectively. The volumetric measurements were highly reproducible (intraclass correlation coefficient = 1.0). Serial changes (0.8 ± 0.6%) in ventricular volume percentage in the unchanged group (n = 28) were significantly smaller than those in the increased and decreased groups (6.8 ± 4.3% and 5.6 ± 4.2%, respectively; p = 0.001 and p < 0.001, respectively; n = 11 and n = 36, respectively). The ventricular volume percentage was an excellent parameter for evaluating the degree of hydrocephalus (area under the receiver operating characteristic curve = 0.975; 95% confidence interval, 0.948-1.000; p < 0.001). With a cut-off value of 2.4%, the diagnosis of unchanged hydrocephalus could be made with 83.0% sensitivity and 100.0% specificity. Conclusion: The ventricular volume percentage quantified using 3D brain CT data is useful for interpreting serial changes in hydrocephalus.

• 한국임상수의학회지
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• 제32권4호
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• pp.319-323
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• 2015

The performance of diagnostic test accuracy is usually summarized by a variety of statistics such as sensitivity, specificity, predictive value, likelihood ratio, and kappa. These indices are most commonly presented when evaluations of competing diagnostic tests are reported, and it is of utmost importance to compare the accuracies of diagnostic tests to decide on the best available test for certain medical disorder. However, it is important to emphasize that specific point values of these indices are merely estimates. If parameter estimates are reported without a measure of uncertainty (precision), knowledgeable readers cannot know the range within which the true values of the indices are likely to lie. Therefore, when evaluations of diagnostic accuracy are reported the precision of estimates should be stated in parallel. To reflect the precision of any estimate of a diagnostic performance characteristic or of the difference between performance characteristics, the computation of confidential interval (CI), an indicator of precision, is widely used in medical literatures in that CIs are more informative to interpret test results than the simple point estimates. The majority of peer-reviewed journals usually require CIs to be specified for descriptive estimates, whereas domestic veterinary journals seem less vigilant on this issues. This paper describes how to calculate the indices and associated CIs using practical examples when assessing diagnostic test performance.

• 한국정밀공학회지
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• 제1권1호
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• pp.34-49
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• 1984

The stability of machine tool systems is analyzed by considering the machining process as a stochastic process without decomposing into machine tool structural dynamics and cutting processes. In doing so the time series analysis technique developed by Wu and Pandit is applied systematically to the relative vibration between cutting tool and work- piece measured under actual working conditions. Various characteristic properties derived from the fitted ARMA(Autoregressive Moving Average) Models and those from raw data directly are investigated in relation with the system stability. Both damping ratio and absolute value of the characteristic roots of the AR part of the most significant dynamic mode are preferred as stability indicating factors to the other pro-perties such as theoretical variance .gamma. (o) or absolute power of the most dominant dynamic mode. Maximum aplitude during a certain interval and variance estimated from raw data are shown to be very sensi- tive to the type of the signal and the location of measurement point although they can be obtained rather easily. The relative vibration signal is also analyzed by FFT(Fast Fourier Transform) Analyzer for the purpose of comparison with the spectrums derived from the fitted ARMA models.