• 정보보호학회논문지
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• 제31권6호
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• pp.1227-1236
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• 2021

딥러닝 분류 모델에 대한 공격 중 하나인 적대적 공격은 입력 데이터에 인간이 구별할 수 없는 섭동을 추가하여 딥러닝 분류 모델이 잘못 분류하도록 만드는 공격이며, 다양한 적대적 공격 알고리즘이 존재한다. 이에 따라 적대적 데이터를 탐지하는 연구는 많이 진행되었으나 적대적 데이터가 어떤 적대적 공격 알고리즘에 의해 생성되었는지 분류하는 연구는 매우 적게 진행되었다. 적대적 공격을 분류할 수 있다면, 공격 간의 차이를 분석하여 더욱 견고한 딥러닝 분류 모델을 구축할 수 있을 것이다. 본 논문에서는 공격 대상 딥러닝 모델이 예측하는 클래스를 기반으로 은닉층의 출력값에서 특징을 추출하고 추출된 특징을 입력으로 하는 랜덤 포레스트 분류 모델을 구축하여 적대적 공격을 탐지 및 분류하는 모델을 제안한다. 실험 결과 제안한 모델은 최신의 적대적 공격 탐지 및 분류 모델보다 정상 데이터의 경우 3.02%, 적대적 데이터의 경우 0.80% 높은 정확도를 보였으며, 기존 연구에서 분류하지 않았던 새로운 공격을 분류한다.

• 한국환경교육학회지:환경교육
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• 제20권4호
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• pp.84-96
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• 2007

The purpose of this study is to develop instruction model of environmental problem process focused with environmental justice. This study has analyzed environmental problem solution process in social studies of elementary school from 4th grade to 6th grade with it. The results of this study are as follows. First, social studies of elementary school didn't show distributive justice in environmental problem solving process. Second, procedural justice existed, but offered information is lacking to each main group. Third, substantive justice was emphasized personal viewpoint. We developed instruction model of environmental problem solving process based upon the results. Component of instruction model is problem analysis, distributive justice, procedural justice, substantive justice and evaluating a solution. Timely, teachers can use and can apply it in social studies class. In conclusion, it is strongly recommend to teach environmental education linked with environmental justice. It enables us enhance a new awareness and attitudes towards sustainable development.

• 한국과학교육학회지
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• 제11권2호
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• pp.67-77
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• 1991

In this paper, current research papers on Physics Problem Solving were analyzed according to the types of research purpose, method, subject and content of Physics, by using 3 Proceedings and 4 kinds of Journal, that is, the International Workshop(1983, Paris, France) and Conference (1983, Utrecht, The Netherlands) and Seminar(1987, Cornell University, U. S. A.) on Physics Education, and Journal of Research in Science Teaching (1984-1990) and Science Education (1986-1990). and Inter national Journal of Science Education(l987-1988) and Cognitive Science(1989-1990). There were 98 research papers on Problem Solving and among them 37 papers on Physics Problem Solving were selected for analyzing. The results of analysis are as follows; 1) The studies on Model of Novice Student were 22(59%), And those on Model of Desired Preformance, on Model of learning and on Model of Teaching were all much the same. 2) The theoretical studies were 10(27%), and the experimental ones 27(73%). Among the experimental studies, there were 16(59%) by using the written test, and 7(26%) by using the thinking aloud method. 3) The studies about university students as subjects were 20(54%). Probably, it seems the reason that most of researchers on Physics Problem Solving were professors of university or graduate students. 4) Among the various fields of Physics, the studies on Mechanics were 24(63%) and those on E1ectromagnetics 6(16%). or graduate students.

• 동의신경정신과학회지
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• 제30권2호
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• pp.71-88
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• 2019

Objectives: The present study aims to review the antidepressant effect of herbal medicines reported in Korean local journals. Methods: We searched in electronic databases (Koreantk, KISS, OASIS, NDSL) for studies, published in Korean national journals, that assessed herbal medicine effect of depression model. The search term was 'depression' in the abstract or whole text. Depression model, herbal material, experimental results, mechanisms were extracted. Results: We included 43 articles in which 38 studies were in vitro experiments, and the rest 5 were in vivo experiments. The most common experiment subject model was a rat and the most widely used method to induce depression was Despair behavior test. 21 studies used simple herbal medicines, and 22 studies used complex herbal medication. Glycyrrhizae Radix was the most commonly used herbal material to improve depression model. The most common mechanisms of herbal medicine with antidepressant effect were inhibition of Monoamine activation mechanism and depression related neurohormone secretion. Conclusions: Herbal medicines may be a promising resource for treating depression.

• 한국전자거래학회지
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• 제3권2호
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• pp.141-160
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• 1998

In order to achieve a successful introduction of CALS, an enterprise model which is a concise description of what an enterprise does is required. The enterprise model mainly consists of a process model and a data model. The process model describes processes that create, change, combine, or destroy the entities within the enterprise. Several process modeling methodologies have been proposed. Each modeling methodology requires its own modeling view point, elements, and syntax. In developing a process model for CALS, these models created at different view points are required to analyze and design a system in a broad view. This paper aims at proposing an integration methodology for a process model. Specifically, IDEF0, IDEF3, and Petri Net are considered to be integrated. An IDEF0 model describing static functions of enterprise is transformed to an IDEF3 model describing behaviour of a system with additional information. Also, the IDEF3 model is transformed to a Petri Net model. These transformations will be automatically accomplished once the additional information for the transformation is provided.

• 대한전자공학회논문지SD
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• 제45권2호
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• pp.7-12
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• 2008

본 연구에서는 게이트 finger수가 증가될수록 드레인 전류의 증가율과 차단주파수가 감소되는 wide width effect를 관찰하였으며, 이 현상을 모델링하기 위하여 기존 BSIM3v3 RF 모델에 finger수에 무관한 외부 소스 저항을 새로 첨가한 개선된 SPICE MOSFET RF 모델을 개발하였다. 이러한 모델로 시뮬레이션된 Nf 종속 드레인 전류와 차단주파수는 기존 BSIM3v3 RF모델보다 $0.13{\mu}m$ multi-finger MOSFET의 측정데이터와 더 잘 일치하였으며, 이는 개선된 RF 모델의 정확도를 증명한다.

• Communications for Statistical Applications and Methods
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• 제26권3호
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• pp.325-336
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• 2019

In this article we extend the discrete Weibull regression model in the presence of missing data. Discrete Weibull regression models can be adapted to various type of dispersion data however, it is not widely used. Recently Yoo (Journal of the Korean Data and Information Science Society, 30, 11-22, 2019) adapted the discrete Weibull regression model using single imputation. We extend their studies by using multiple imputation also with several various settings and compare the results. The purpose of this study is to address the merit of using multiple imputation in the presence of missing data in discrete count data. We analyzed the seventh Korean National Health and Nutrition Examination Survey (KNHANES VII), from 2016 to assess the factors influencing the variable, 1 month hospital stay, and we compared the results using discrete Weibull regression model with those of Poisson, negative Binomial and zero-inflated Poisson regression models, which are widely used in count data analyses. The results showed that the discrete Weibull regression model using multiple imputation provided the best fit. We also performed simulation studies to show the accuracy of the discrete Weibull regression using multiple imputation given both under- and over-dispersed distribution, as well as varying missing rates and sample size. Sensitivity analysis showed the influence of mis-specification and the robustness of the discrete Weibull model. Using imputation with discrete Weibull regression to analyze discrete data will increase explanatory power and is widely applicable to various types of dispersion data with a unified model.

• Management Science and Financial Engineering
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• 제18권1호
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• pp.21-26
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• 2012

Two previous studies that attempted to generalize the deterministic joint pricing-inventory decision model are reevaluated. We prove analytically that even in a single-product environment, the EOQ model with constant priceelastic demand cannot find optimal solutions unless two optimality conditions associated with price elasticity and demand magnitude are satisfied. Due to the inexistence of the general optimality for the problem, demand function and price elasticity must be evaluated and bounded properly to use the methods proposed in the previous studies.

• ETRI Journal
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• 제28권2호
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• pp.191-204
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• 2006

Many previous studies of data quality have focused on the realization and evaluation of both data value quality and data service quality. These studies revealed that poor data value quality and poor data service quality were caused by poor data structure. In this study we focus on metadata management, namely, data structure quality and introduce the data quality management maturity model as a preferred maturity model. We empirically show that data quality improves as data management matures.

• 정보관리학회지
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• 제22권4호통권58호
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• pp.235-254
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• 2005

본 연구는 정보추구행태 모형을 제시하고 있는 기존 논의들을 대상으로 이들의 연구경향들을 개관하고 분석함으로써 향후 정보추구행태 연구의 방향점을 논의하고자 하는 시도이다. 본 연구에서는 기존논의들 을 정보추구행태의 영향요인 모형, 과정모형 스타일/패턴모형의 3가지 연구유형으로 대별하였으며, 이들 모형들을 방법론/이론적 틀, 정보추구 맥락, 연구대상/주제분야, 모형 특색 등 9가지 측면에서 분석하였다. 기존 연구의 한계를 극복하기 위한 한국적 연구전략은 연구대상의 확대뿐 아니라, 정보추구가 가지는 복잡다양성과 다차원성을 포함하는 총체적인 연구접근이 필요하다. 더불어, 한국적 정보추구 현상을 설명하는 실제에 기반한 이론들을 개발할 필요가 있다.