• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.348-353
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• 2009

The present study attempted to identify the relationship among cognition of service quality, cognition of contribution, and satisfaction in the international film festival context. A sample survey of 1,897 visitors of eight major international festivals held in Korea was administered throughout the year 2008. The factor analysis identified four factors of service quality. The structural modeling confirmed that all the four service quality factors and cognition of contribution positively affected the satisfaction. The study revealed the constructs of service quality, contribution, and satisfaction in the international film festival context.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.10a
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• pp.469-472
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• 2004

최근 생체인식 산업은 금융, 컴퓨터 보안, 통신 부분, 출입국 관리, 의료, 사회복지, 경찰법조, 군사보안 등의 여러 분야에 활용되어 실제 적용되고 있다. 생체인식 분야는 사용되는 생체인식 특징들과 실제 운용되는 환경이 매우 다양하기 때문에 생체인식 소프트웨어의 시험과 평가에 대한 객관적 평가가 매우 중요하다 이를 위해서 생체인식 소프트웨어의 특성을 고려한 평가모듈(Evaluation Module)이 필요하고, 이를 토대로 시험규격서, 품질 검사표, 테스트케이스, 시험결과서가 도출되어야 한다. 또한, XML(extensible Markup Language)은 네트워크와 어플리케이션간 교환되어지는 정보를 명세하기 위한 언어로 데이터 교환과 공유에 대한 표준으로 그 응용 영역이 확장되어 적용되고 있다. 본 논문에서는 ISO/IEC 9126과 ISO/IEC 12119를 도입하여 생체인식 소프트웨어의 품질특성을 분석하였으며, 시험과 평가를 위해 선정된 평가모듈의 XML 스키마에 사용자 요구를 따른 여러 문서 스타일을 적용함으로써 작업효율의 진행성을 보장할 수 있었다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.192-200
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• 2008

Multimodal biometrics is a method for personal authentication and verification using more than two types of biometrics data. RBF based score-level fusion uses pattern recognition algorithm for multimodal biometrics, seeking the optimal decision boundary to classify score feature vectors each of which consists of matching scores obtained from several unimodal biometrics system for each sample. In this case, all matching scores are assumed to have the same reliability. However, in recent research it is reported that the quality of input sample affects the result of biometrics. Currently the matching scores having low reliability caused by low quality of samples are not currently considered for pattern recognition modelling in multimodal biometrics. To solve this problem, in this paper, we proposed the RBF based score-level fusion approach which employs quality information of input biometrics data to adjust decision boundary. As a result the proposed method with Qualify information showed better recognition performance than both the unimodal biometrics and the usual RBF based score-level fusion without using quality information.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.2
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• pp.77-85
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• 2010

Fingerprint image quality checking is one of the most important issues in on-line fingerprint recognition because the recognition performance is largely affected by the quality of fingerprint images. In the past, many related fingerprint quality checking methods have typically considered the local quality of fingerprint. However, It is necessary to estimate the global quality of fingerprint to judge whether the fingerprint can be used or not in on-line recognition systems. Therefore, in this paper, we propose both local and global-based methods to calculate the fingerprint quality. Local fingerprint quality checking algorithm considers both the condition of the input fingerprints and orientation estimation errors. The 2D gradients of the fingerprint images were first separated into two sets of 1D gradients. Then，the shapes of the PDFs(Probability Density Functions) of these gradients were measured in order to determine fingerprint quality. And global fingerprint quality checking method uses neural network to estimate the global fingerprint quality based on local quality values. We also analyze the matching performance using FVC2002 database. Experimental results showed that proposed quality check method has better matching performance than NFIQ(NIST Fingerprint Image Quality) method.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.73-83
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• 2019

Voice Recognition has recently been improved with AI(Artificial Intelligence) and has greatly improved the false recognition rate and provides an effective and efficient Human Machine Interface (HMI). This trend has also been applied in the defense industry, particularly in the aviation, F-35. However, for the quality evaluation of Voice Recognition, the defense industry, especially the aircraft, requires measurable quantitative models. In this paper, the quantitative evaluation model is proposed for applying Voice Recognition to aircraft. For the proposal, the evaluation items are identified from the Voice Recognition technology and ISO/IEC 25000(SQuaRE) quality attributes. Using these two perspectives, the quantitative evaluation model is proposed under aircraft operation condition and confirms the evaluation results.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.177-178
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• 2019

본 연구에서는 SNS 품질요인에 대한 기존 연구에 대해 전문가 집단이 산출한 각 품질요인에 대한 중요도와 사용자 집단이 각 품질요인에 대해 중요하다고 생각하는 중요도의 차이를 알아보고자 하였다. 연구를 위하여 선행연구에서 사용된 SNS 품질요인을 시스템품질, 정보품질, 인터페이스품질, 서비스품질로 구분하여 AHP 기법을 적용하여 전문가 집단과 사용자 집단의 품질요인별 중요도를 실증 분석하였다. 분석결과 전문가 집단과 사용자 집단의 각 품질요인에 대한 중요도의 인식 차이가 나타나는 것으로 나타나 품질평가에 있어 전문가와 사용자의 의견을 종합하는 종합 평가가 필요할 것으로 사료된다.

• Korean Journal of Construction Engineering and Management
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• v.7 no.3 s.31
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• pp.76-85
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• 2006

Quality is the core competence for customer satisfaction in current competitive business environments. The manufacturing companies regard the quality as the success factor in enhancing competitiveness and foremost concept of the management innovation. But in many cases, the basis for the quality management and the action programs are not prepared yet. In construction industry, normally schedule and cost have priority over quality and the level of overall quality is relatively lower than other industries. This is caused by the vague quality goal and result-oriented management. This study suggests the quality performance indicators for measuring performance objectively, and develops the continuous quality monitoring system based on those indicators. By using this system, the quality improvement can be expected and corporate quality competitiveness can be ensured.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.337-340
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• 2005

최근 IT분야의 보안 분야와 함께 생체인식 분야는 급성장하였으며 국내외에서 생체인식 소프트웨어에 대한 시험 인증 수요가 증대되고 있으나 생체인식 소프트웨어에 대한 품질을 평가할 수 있는 방법에 대한 연구는 미흡한 실정이다. 생체인식 소프트웨어의 품질시험과 평가를 위한 기준으로 평가모듈(Evaluation Module)이 도출되어야 하며, 평가모듈을 효율적으로 공유하거나 교환하기 위해 XML를 이용할 수 있다. 또한, 생체인식 소프트웨어의 인증과정과 관련된 문서들은 다양한 스타일로 구성되어 있으며 평가대상에 따라 관련문서들의 스타일도 변경되어야 한다. 본 논문에서 XML 기반 평가모듈에 XSL(eXtensible Stylesheet Language)을 이용하여 여러 스타일 시트로 적용할 수 있도록 XSL 스타일 편집기를 설계하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.5
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• pp.59-69
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• 2008

The purpose of this paper is to measure the level of difficulty of fingerprint database based on sample quality. This paper proposes distribution of a sample quality analyzer and a difference of sample quality analyzer to measure the level of difficulty. Experimental results demonstrate that there are stronger correlation between matching performance and level of difficulty based on difference of sample quality than other measure. Especially, level of difficulty based on OQ Block of MPQ co-occurrence matrix shows highest correlation with matching performance, and moreover it can predict the matching performance of unknown databases.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.3
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• pp.61-68
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• 2008

In this paper, we propose a new method to assess fingerprint image quality. In the proposed method, analysis of local variance of image's gray values, local orientation, minutiae density, size and position is applied. Especially by using position information of inputted fingerprint images, partial fingerprint images are filtered and recognition performance is improved. In the experimental results, quality threshold value for improving performance can be decided by analysis of correlation between image quality and recognition rate.