• 한국언어정보학회지:언어와정보
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• 제2권2호
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• pp.185-220
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• 1998

The purpose of this research is to propose a set of basic guidelines for the construction of English test suites, a set of basic guidelines for the construction of Korean test suites to objectively evaluate the performance of machine translation systems. For this end, we constructed 650 English test sentences, 650 Korean test sentences, and developed the statistical methods and tools for the comparative evaluation of the English-Korean machine translation systems. It also evaluates the existing commercial English-Korean machine translation systems. The importance of this research lies in that it will promote an awareness of the importance and need of testing machine translation systems within the Natural Language Community. This research will also make a big contribution to the development of evaluation methods and techniques for appropriate test suites for Korean information processing systems. The results of this research can be used by the natural language community to test the performance and development of their information processing systems or machine translation systems.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.1049-1058
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• 2011

This paper suggests blending time adjusting method of braking command characteristics management and Set value test for optimizing of braking deceleration to enhance the precise position stopping. This method minimizes pneumatic-braking degree deviation by characteristics management, and secures braking stability at braking. By Set value test method, braking blending characteristics are analyzed accurately. And by optimal timing tuning at braking blending, It enhanced the precise position stopping with stabilization of deceleration To demonstrate the usefulness of these suggestion, I modeled for Deajeon Line #1. And through comparison with case of related companies, the proposed method which this paper suggested is proved to be superior to others.

• International Journal of CAD/CAM
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• 제5권1호
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• pp.51-58
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• 2005

Interpreting a natural line drawing as a solid object requires simplifying assumptions in order to make the problem more tractable. Unfortunately, some of the assumptions made in the past have overly simplified the problem. Restricting the valency of vertices, and in particular allowing only trihedral vertices, distorts the problem, since algorithms which are satisfactory for the simplified problem are not satisfactory in the general case. This paper presents a test set of drawings of objects with higher-valency vertices. The intention in creating this test set is that it may be used to determine how effective various algorithms are in dealing with general (i.e. unrestricted) valency vertices.

• 말소리와 음성과학
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• 제10권3호
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• pp.31-39
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• 2018

This paper aims to present a taxonomy of non-standard words (NSW) for developing a French text normalization system and to propose a method for evaluating this system based on a corpus. The proposed taxonomy of French NSWs consists of 13 categories, including 2 types of letter-based categories and 9 types of number-based categories. In order to evaluate the text normalization system, a representative test set including NSWs from various text domains, such as news, literature, non-fiction, social-networking services (SNSs), and transcriptions, is constructed, and an evaluation equation is proposed reflecting the distribution of the NSW categories of the target domain to which the system is applied. The error rate of the test set is 1.64%, while the error rate of the whole corpus is 2.08%, reflecting the NSW distribution in the corpus. The results show that the literature and SNS domains are assessed as having higher error rates compared to the test set.

• 한국농공학회논문집
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• 제47권3호
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• pp.41-48
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• 2005

The purpose of this study is to improve the performance of jet set cement, which mixed with the mineral admixtures such as silica fume, fly ash and ground granulated blast furnace slag. First, the test of mortar according to the substitute ratio of mineral admixtures were evaluated. And then using it obtained from test results, it was conducted with experiment of mechanical, physical and permeable characteristics of concrete. Laboratory test results showed that concrete substituted for $5\%$ of silica fume didn't have an effect on prominent performance relating to compressive strength. However it was superior to concrete in case of resistance of chloride permeation.

• 한국지반공학회논문집
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• 제19권4호
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• pp.235-246
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• 2003

국내의 경우 이 등(1994)의 연구를 시작으로 국지 현장별로 타입말뚝의 지지력 증가효과에 대한 사례연구들이 있었다. 그러나 충분한 시험자료를 바탕으로 한 지지력 증가효과에 대한 전반적인 검토는 아직 미흡한 실정이고, 또한 지지력 증가효과에 지반조건 및 말뚝의 형상이 미치는 영향에 대해서는 아직 보고 된 바 없다. 타입말뚝의 지지력 증가효과를 실무적으로 이용하기 위해서는 현장에서 실구조물에 적용된 말뚝에 대한 시험자료의 분석을 실시하는 것이 필요하다. 본 연구에서는 말뚝기초의 설계 및 향후 사질토에서의 지지력 증가효과 등의 연구를 위한 기본 자료로 활용하기 위해 실구조물에 적용되는 다양한 시험말뚝의 시공과 동재하시험 자료 분석을 통해 지지력 증가효과에 대한 현상을 알아보았다. 말뚝의 동재하시험의 분석 결과, 말뚝지지력의 증가는 토질별로도 영향을 받지만 조성이력에도 영향을 받는 것으로 분석되었으며, 특히 사질토에도 상당한 지지력 증가효과가 나타났다. 이러한 말뚝의 지지력의 증가는 주로 주면부에서 발생하였으며, 선단형상에 따른 지지력 증가효과는 점성토에서는 폐단말뚝이 크고, 사질토에서는 개단말뚝이 큰 것으로 나타났다.

• Korean Journal of Radiology
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• 제23권3호
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• pp.343-354
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• 2022

Objective: To develop and evaluate a deep learning-based artificial intelligence (AI) model for detecting skull fractures on plain radiographs in children. Materials and Methods: This retrospective multi-center study consisted of a development dataset acquired from two hospitals (n = 149 and 264) and an external test set (n = 95) from a third hospital. Datasets included children with head trauma who underwent both skull radiography and cranial computed tomography (CT). The development dataset was split into training, tuning, and internal test sets in a ratio of 7:1:2. The reference standard for skull fracture was cranial CT. Two radiology residents, a pediatric radiologist, and two emergency physicians participated in a two-session observer study on an external test set with and without AI assistance. We obtained the area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity along with their 95% confidence intervals (CIs). Results: The AI model showed an AUROC of 0.922 (95% CI, 0.842-0.969) in the internal test set and 0.870 (95% CI, 0.785-0.930) in the external test set. The model had a sensitivity of 81.1% (95% CI, 64.8%-92.0%) and specificity of 91.3% (95% CI, 79.2%-97.6%) for the internal test set and 78.9% (95% CI, 54.4%-93.9%) and 88.2% (95% CI, 78.7%-94.4%), respectively, for the external test set. With the model's assistance, significant AUROC improvement was observed in radiology residents (pooled results) and emergency physicians (pooled results) with the difference from reading without AI assistance of 0.094 (95% CI, 0.020-0.168; p = 0.012) and 0.069 (95% CI, 0.002-0.136; p = 0.043), respectively, but not in the pediatric radiologist with the difference of 0.008 (95% CI, -0.074-0.090; p = 0.850). Conclusion: A deep learning-based AI model improved the performance of inexperienced radiologists and emergency physicians in diagnosing pediatric skull fractures on plain radiographs.

• 한국콘텐츠학회논문지
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• 제8권7호
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• pp.75-84
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• 2008

데이터베이스 응용 프로그램들은 DBMS가 관리하는 데이터베이스를 동시에 접근하기 때문에 동시성 문제가 발생하며 이를 해결하기 위해서 대부분의 상업용 DBMS들은 고립화 수준을 설정할 수 있게 한다. 데이터베이스 응용 프로그램을 구성하는 트랜잭션들의 고립화 수준에 따라서 데이터베이스의 일관성이 위반될 수도 있기 때문에 트랜잭션의 고립화 수준의 검증은 중요하다. 본 논문은 트랜잭션의 고립화 수준 설정 오류를 검증하기 위한 시험 도구를 제안하고 프로토타입을 구현한다. 시험 도구는 ESQL/C 프로그램을 분석하여 고립화 수준을 검증할 수 있는 코드를 추가하여 시험 트랜잭션을 실행시키고 고립화 수준의 오류를 검출할 수 있게 한다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.151-152
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• 2019

본 논문에서는 동물 이미지 분류를위한 작은 데이터 세트를 기반으로 개선 된 심층 학습 방법을 제안한다. 첫째, CNN은 소규모 데이터 세트에 대한 교육 모델을 작성하고 데이터 세트를 사용하여 교육 세트의 데이터 세트를 확장하는 데 사용된다. 둘째, VGG16과 같은 대규모 데이터 세트에 사전 훈련 된 네트워크를 사용하여 작은 데이터 세트의 병목을 추출하여 새로운 교육 데이터 세트 및 테스트 데이터 세트로 두 개의 NumPy 파일에 저장하고, 마지막으로 완전히 연결된 네트워크를 새로운 데이터 세트로 학습한다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.921-924
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• 2005

Diesel generator sets with resilient mounts often experience resonances by major excitations which come from diesel engine and their foundation with rigid body modes. Because their natural frequency is determined by moment of inertia and stiffness of resilient mount vibration problems are resolved by changing location and stiffness of resilient mounts. But the calculated natural frequencies are inaccurate due to uncertainty of the inertia and mount stiffness. So this result can be useless on the design stage. In this paper, the stiffness of mount is evaluated on result from mount stiffness test in laboratory and generator set vibration test and a simple calculation method for moment of inertia is proposed. Based on these data, the procedure to select optimized mount stiffness and location on the design stage is set up.