• Electronics and Telecommunications Trends
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• v.5 no.1
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• pp.23-34
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• 1990

CAD 프레임워크는 다양한 CAD 툴들의 이용법을 사용자 관점에서 통합하여 사용의 편이성과 설계 작업의 생산성을 높이고 CAD 시스팀 관리의 효율성을 높이고자 창안된 개념이다. 본 고에서는 CAD 프레임워크의 개념과 기능, 구성과 DEC 의 Power Frame을 예로 한 프레임워크의 형태와 발전 현황, 그리고 표준화 동향과 제 4세대 프레임워크를 중심으로 한 앞으로의 전망에 대해 살펴본다.

• Proceedings of the Korean Ceranic Society Conference
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• 2000.04a
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• pp.22.2-22.2
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• 2000

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.9B
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• pp.931-938
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• 2009

Recently, Holbl et al. proposed an improvement to Peyravian-Jeffries's password-based authentication protocol to overcome some security flaws. However, Munilla et al. showed that Holbl et al.'s improvement is still vulnerable to off-line password guessing attack. In this paper, we provide a secure password-based authentication protocol which gets rid of the security flaws of Holbl et al.'s protocol.

• Proceedings of the SAREK Conference
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• 2007.06a
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• pp.152-152
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• 2007

• Electronics and Telecommunications Trends
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• v.5 no.2
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• pp.63-77
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• 1990

HMM(Hidden Markov Model)은 음성을 기술하는데 적합한 model이다. 본 고는 최근 CMU에서 개발한 HMM에 기반을 둔 화자독립, 연속음성 system인 SPIHNX에 대하여 기술한다. SPHINX는 단순한 음소의 HMM model을 적용한 baseline SPHINX로부터 시작하여 새로운 지식의 추가 및 음성단위의 조정 등을 통하여 지속적으로 그 성능이 개선되어 왔다. SPHINX의 최종 version은 어휘 약 1000단어 정도의 재원 관리에 관한 질문 형태의 문장을 인식하는데 96%의 높은 인식율을 보인다. SPHINX는 가장 발전된 음성인식 시스템의 하나이며 이는 화자독립, 대용량어휘의 연속음성 인식 시스템의 실현 가능성을 제시한다.

• ETRI Journal
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• v.16 no.1
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• pp.35-43
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• 1994

In this paper, the robustness of the artificial neural networks to noise is demonstrated with a multilayer perceptron, and the reason of robustness is due to the statistical orthogonality among hidden nodes and its hierarchical information extraction capability. Also, the misclassification probability of a well-trained multilayer perceptron is derived without any linear approximations when the inputs are contaminated with random noises. The misclassification probability for a noisy pattern is shown to be a function of the input pattern, noise variances, the weight matrices, and the nonlinear transformations. The result is verified with a handwritten digit recognition problem, which shows better result than that using linear approximations.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2956-2958
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• 1999

The classical solution to the noise removal problem is the Wiener filter, which utilizes the second-order statistics of the Fourier decomposition. We discuss a Bayesian formalism which gives rise to a type of wavelet threshold estimation in non-parametric regression. A prior distribution is imposed on the wavelet coefficients of the unknown response function, designed to capture the sparseness of wavelet expansion common to most application. For the prior specified, the posterior median yields a thresholding procedure

• 한국약용작물학회:학술대회논문집
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• 2009.05a
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• pp.127-128
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• 2009

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.49 no.7
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• pp.412-417
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• 2000

This paper offer fundamental materials about Partial Discharge(PD) detection by electromagnetic waves. All spectrum data-usually used as grape- can be used as numbers. And then the average of background noise spectrum strength was made. Average value subtract from every data. Then average value appeared, graphed. The graph was compared with the magnitude of charge. The shape of changes is similar, and the change of electric field strength could be seen in one sight. When the magnitude of charge is over than 100[pC], antenna can detect partial discharge. So this method will be very useful to diagnosis of insulation. It the performance of the antenna used in this experiment is analyzed, good results can be obtained.

• Proceedings of the Materials Research Society of Korea Conference
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• 1998.08a
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• pp.52.4-52
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• 1998