• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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• pp.291-294
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• 2002

This paper proposed interface test method for performance verification of communication and broadcasting satellite between communication and broadcasting satellite payload and EGSE(Electrical Ground Support Equipment). We need ground support equipment for test them to performance verification and conform interface function of payload. This paper define tile telemetry transfer method for control payload using GSE(Ground Support Equipment) and receive telemetry data collected from GSE through bus simulator

• 대한음성학회지:말소리
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• 제67호
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• pp.79-102
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• 2008

In this paper, we investigate the relation between Bayes factor and likelihood ratio test (LRT) approaches and apply the neighborhood information of Bayes factor to building an alternate hypothesis model of the LRT system. To consider the neighborhood approaches, we contemplate a distance measure between models and algorithms to be applied. We also evaluate several methods to improve performance of utterance verification using neighborhood information. Among these methods, the system which adopts anti-models built by collecting mixtures of neighborhood models obtains maximum error rate reduction of 17% compared to the baseline, linear and weighted combination of neighborhood models.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.1049-1052
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• 1999

As the Internet traffic increases, the demand for higher performance routers continues to grow, and it makes switch chips more complex. To make matters worse, these chips also need to handle high-level services. In this paper, we introduce an efficient verification methodology that can support real network traffics to satisfy the verification requirement of real complex situation even at the early design phase of switch chips.

• 한국산업융합학회 논문집
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• 제9권4호
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• pp.263-268
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• 2006

This paper presents a real-time verification system by extracting a features of multimodal biometrics using hybrid method, which is combined the moment balance and the independent component analysis(ICA). The moment balance is applied to reduce the computation loads by extracting the validity signal due to exclude the needless backgrounds of multimodal biometrics. ICA is also applied to increase the verification performance by removing the overlapping signals due to extract the statistically independent basis of signals. Multimodal biometrics are used both the faces and the fingerprints which are acquired by Web camera and acquisition device, respectively. The proposed system has been applied to the fusion problems of 48 faces and 48 fingerprints(24 persons * 2 scenes) of 320*240 pixels, respectively. The experimental results show that the proposed system has a superior verification performances(speed, rate).

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2002년도 춘계학술발표논문집(하)
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• pp.877-881
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• 2002

이미지와 같은 디지털 컨텐츠에 대한 저작권 보호 기능을 제공하기 위해서는 삽입된 워터마크에 대한 안전한 증명과 소유권에 대한 공개적인 검증 기술이 필요하다. 특히 워터마크된 컨텐츠에 비밀스럽게 은닉된 워터마크 정보에 대한 완전한 노출 없이도 증명하고자 하는 컨텐츠에 대한 소유권을 공개적으로 증명해 줄 수 있는 검증 기법이 필요하다. 본 연구에서는 기존의 영지식 증명 기법과 워터마킹 기법을 분석하였으며, 영지식 증명 기법을 디지털 워터마크 검증 구조에 적용하여, 워터마크에 대한 비밀정보 유출 없이도 소유권 및 저작권을 검증할 수 있는 영지식 기반 워터마크 검증 기법을 제시한다.

• Journal of Information Processing Systems
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• 제12권3호
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• pp.381-391
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• 2016

The Joint Bayesian (JB) method has been used in most state-of-the-art methods for face verification. However, since the publication of the original JB method in 2012, no improved verification method has been proposed. A lot of studies on face verification have been focused on extracting good features to improve the performance in the challenging Labeled Faces in the Wild (LFW) database. In this paper, we propose an improved version of the JB method, called the two-dimensional Joint Bayesian (2D-JB) method. It is very simple but effective in both the training and test phases. We separated two symmetric terms from the three terms of the JB log likelihood ratio function. Using the two terms as a two-dimensional vector, we learned a decision line to classify same and not-same cases. Our experimental results show that the proposed 2D-JB method significantly outperforms the original JB method by more than 1% in the LFW database.

• 대한음성학회지:말소리
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• 제63호
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• pp.153-170
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• 2007

It is well known that when there is an acoustic mismatch between the speech obtained during training and testing, the accuracy of speaker verification systems drastically deteriorates. This paper presents the use of MFCCs' histogram enhancement technique in order to improve the robustness of a speaker verification system. The technique transforms the features extracted from speech within an utterance such that their statistics conform to reference distributions. The reference distributions proposed in this paper are uniform distribution and beta distribution. The transformation modifies the contrast of MFCCs' histogram so that the performance of a speaker verification system is improved both in the clean training and testing environment and in the clean training and noisy testing environment.

• 한국시뮬레이션학회논문지
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• 제14권3호
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• pp.137-146
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• 2005

In parametric approach to a signature verification, it generally uses so many redundant features unsuitable for each individual signature that it causes harm, instead. This paper proposes a method of determining personalized weights of a feature set in signature verification with parametric approach by identifying the characteristics of each feature. For an individual signature, we define a degree of how difficult it is for any other person to forge the one's (called 'DFD' as the Degree of Forgery Difficulty). According to the statistical characteristics and the intuitional characteristics of each feature, the standard features are classified into four types. Four types of DFD functions are defined and applied into the distance calculation as a personalized weight factor. Using this method, the error rate of signature verification is reduced and the variation of the performance is less sensitive to the changes of decision threshold.

• ETRI Journal
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• 제33권6호
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• pp.914-923
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• 2011

This paper concerns robust and reliable speaker model training for text-independent speaker verification. The baseline speaker modeling approach is the Gaussian mixture model (GMM). In text-independent speaker verification, the amount of speech data may be different for speakers. However, we still wish the modeling approach to perform equally well for all speakers. Besides, the modeling technique must be least vulnerable against unseen data. A traditional approach for GMM training is expectation maximization (EM) method, which is known for its overfitting problem and its weakness in handling insufficient training data. To tackle these problems, variational approximation is proposed. Variational approaches are known to be robust against overtraining and data insufficiency. We evaluated the proposed approach on two different databases, namely KING and TFarsdat. The experiments show that the proposed approach improves the performance on TFarsdat and KING databases by 0.56% and 4.81%, respectively. Also, the experiments show that the variationally optimized GMM is more robust against noise and the verification error rate in noisy environments for TFarsdat dataset decreases by 1.52%.

• 시스템엔지니어링워크숍
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• 통권6호
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• pp.126-129
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• 2005

Systems engineering requirement verification model developmetn for High Speed Railway systems in progress is a national large system development program that is not only large-size and complex but also multi-disciplinary in nature. For the High Speed Railway TEP development, verification requirements that could verify system function, performance, and constraint, should be derived from SSS(system Segment specification). Hereafter, this could be referred to as verification requirements. System engineering process establishes traceability between verification requirements and system requirements. These tasks could be accomplished by the schema. using computer-aided Systems Engineering tool(CORE), High Speed Railway program can become a database and other system related to High Speed Railway program will be developed effectively and efficiently.