• 산업경영시스템학회지
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• 제46권4호
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• pp.229-237
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• 2023

In this research, a new Test and Evaluation (T&E) procedure for defense AI systems is proposed to fill the existing gap in established methodologies. This proposed concept incorporates a data-based performance evaluation, allowing for independent assessment of AI model efficacy. It then follows with an on-site T&E using the actual AI system. The performance evaluation approach adopts the project promotion framework from the defense acquisition system, outlining 10 steps for R&D projects and 9 steps for procurement projects. This procedure was crafted after examining AI system testing standards and guidelines from both domestic and international civilian sectors. The validity of each step in the procedure was confirmed using real-world data. This study's findings aim to offer insightful guidance in defense T&E, particularly in developing robust T&E procedures for defense AI systems.

• 정보보호학회논문지
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• 제14권4호
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• pp.3-11
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• 2004

웹 상에서의 전자상거래의 활성화와 더불어 XML이 관련된 응용과 업계 표준의 기반이 되고 있으며, XML 데이터뿐만 아니라 임의의 콘텐츠에 대한 서명을 XML로 표현하여 무결성, 인증, 부인방지의 보안 기능을 제공하는 XML 전자서명에 대한 표준화가 W3C와 IETF의 공동 작업으로 수행되고 있다. 이러한 추세에 따라 XML 전자서명을 구현한 제품 개발이 증가하고 있으며, XML 전자서명을 구현한 제품은 다른 제품들 간의 상호운용성을 지원하기 위해 관련 기술 표준을 정확하게 준수하여 구현되어야 한다. 본 논문에서는 시험 절차와 시험 케이스 등을 포함하는 XML 전자서명 표준적합성 시험 방법을 제시한다. 시험 케이스들은 XML 서명 표준을 분석하여 도출되었으며, 본 논문에서 제시된 시험 방법을 구현한 XML 표준적합성 시험 도구의 설계와 용법을 설명한다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.318-326
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• 2022

Marketing stress testing is a new method of identifying the company's strengths and weaknesses in a turbulent environment. Technically, this is a complex procedure, so it involves artificial intelligence and machine learning. The main problem is currently the development of methodological approaches to the development of the company's digital model, which will provide a framework for machine learning. The aim of the study was to identify and develop an author's approach to the parameterization of the company's business processes for machine learning-based marketing stress testing. This aim provided the company's activities to be considered as a set of elements (business processes, products) and factors that affect them (marketing environment). The article proposes an author's approach to the parameterization of the company's business processes for machine learning-based marketing stress testing. The proposed approach includes four main elements that are subject to parameterization: elements of the company's internal environment, factors of the marketing environment, the company' core competency and factors impacting the company. Matrices for evaluating the results of the work of expert groups to determine the degree of influence of the marketing environment factors were developed. It is proposed to distinguish between mega-level, macro-level, meso-level and micro-level factors depending on the degree of impact on the company. The methodological limitation of the study is that it involves the modelling method as the only one possible at this stage of the study. The implementation limitation is that the proposed approach can only be used if the company plans to use machine learning for marketing stress testing.

• 한국시스템다이내믹스연구
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• 제8권2호
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• pp.25-49
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• 2007

An important assumption of the classical linear regression model is that the disturbances appearing in the population regression function are homoskedastic; that is, they all have the same variance. If we persist in using the usual testing procedures despite heteroskedasticity, what ever conclusions we draw or inferences we make be very misleading. The contribution of this paper will be to the concrete procedure of the proper estimation when the heteroskedasticity does exist in the data, because the quality of dependent variable predictions, i.e., the estimated variance of the dependent variable, can be improved by giving consideration to the issues of regional homogeneity and/or heteroskedasticity across the research area. With respect to estimation, specific attention should be paid to the selection of the appropriate strategy in terms of the auxiliary regression model. The paper shows that by testing for heteroskedasticity, and by using robust methods in the presence of with and without heteroskedasticity, more efficient statistical inferences are provided.

• 한국산업보건학회지
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• 제24권4호
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• pp.578-586
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• 2014

Objectives: There is a requirement to establish the standard operating procedures(SOPs) for chronic inhalation/carcinogenicity testing, so we would like to set them appropriately. Methods and Results: We established SOPs according to guidelines from international organizations such as OECD, the US EPA, and relevant institutions in advanced countries. We also benchmarked other contract research organizations(CROs) in Korea. Conclusions: We created appropriate SOPs for chronic inhalation/carcinogenicity testing.

• 산업경영시스템학회지
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• 제9권13호
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• pp.29-32
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• 1986

A decision procedure to determine when computer software should be released after testing is described. This paper extends optimum release policies minimizing the total expected software cost with a scheduled software delivery time under reliability requirement constraint. Such cost considerations enable us to make a release decision as to when transfer a software system from testing phase to operational phase. The underlying model is software reliability growth model described by a nonhomogeneous poisson process. It is assumed that the penalty cost function due to delay for a scheduled software delivery time is linearly proportional to time. Numerical examples are shown to illustrate the results.

• 응용통계연구
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• 제1권2호
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• pp.66-81
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• 1987

이 연구에서는 새로운 방법의 비모수적 축차검정방법이 제시되었다. 먼저 축차적으로 얻어지는 관측치를 일정수의 집단으로 분류하고 각집단으로부터 주어진 가설에 적절한 비모수 통계량을 구하여 이것을 축차확률비검정에서 사용되는 로그확률비통계량에 대체하여 Wald의 축차검정을 수행하는 방법이다. 이러한 검정의 특성은 Wiener과정에 의해 근사적으로 규명되었다.

• 비파괴검사학회지
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• 제32권6호
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• pp.648-660
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• 2012

Reliable response measurements are extremely important for proper bridge health monitoring but incomplete and unreliable data may be acquired due to sensor problems and environmental effects. In the case of a sensor malfunction, parts of the measured data can be missing so that the structural health condition cannot be monitored reliably. This means that the dynamic characteristics of natural frequencies can change as if the structure is damaged due to environmental effects, such as temperature variations. To overcome these problems, this paper proposes a systematic procedure of data analysis to recover missing data and eliminate the environmental effects from the measured data. It also proposes a health index calculated statistically using revised data to evaluate the health condition of a bridge. The proposed method was examined using numerically simulated data with a truss structure and then applied to a set of field data measured from a cable-stayed bridge.

• Communications for Statistical Applications and Methods
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• 제23권5호
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• pp.433-444
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• 2016

When we observe binary responses in a cluster (such as rat lab-subjects), they are usually correlated to each other. In clustered binomial counts, the independence assumption is violated and we encounter an extra-variation. In the presence of extra-variation, the ordinary statistical analyses of binomial data are inappropriate to apply. In testing the homogeneity of proportions between several treatment groups, the classical Pearson chi-squared test has a severe flaw in the control of Type I error rates. We focus on modifying the chi-squared statistic by incorporating variance inflation factors. We suggest a method to adjust data in terms of dispersion estimate based on a quasi-likelihood model. We explain the testing procedure via an illustrative example as well as compare the performance of a modified chi-squared test with competitive statistics through a Monte Carlo study.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 추계 학술발표회
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• pp.990-996
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• 2010

In this study, a method for estimating the effective stress of clays using in-situ penetration test(PCPT) result is proposed. The proposed method is based on a correlation between the PCPT results and strength increment ratio. According to proposed method, no additional testing procedure for collecting undisturbed soil sample is required, which can reduce overall testing cost. To verify this method, for analysis, various analytical solutions were adopted and used. Measured and predicted effective stress are compared on the test results. The verification sites consist of a variety of soil condition. From comparison, it is seen that predicted value of effective stress using the propose method match well those from measured results.