• Journal of the Society of Naval Architects of Korea
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• v.36 no.1
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• pp.15-21
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• 1999

In this paper, the issue of local structural identifiability of linear equations of motion with non-linear parametrizations is discussed. The test method is resented that provides analytical expressions for information matrices of which the rack determines identifiability. And this method is applied to investigate local structural identifiability of linear equations of motion for a submergible vehicle. As a result, it is showed that with given parameters, the linear equations of motion do not satisfy the definition of local identifiabiliy according Glover & Willems.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.11
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• pp.907-912
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• 2005

In this paper, we consider the problem of designing sliding surfaces fur a class of dynamic systems with mismatched uncertainties in the state space model. In terms of LMIs, we give necessary and sufficient conditions fir the existence of a linear sliding surface such that the reduced order sliding mode dynamics is asymptotically stable and completely independent of uncertainties. We parameterize all such linear sliding surfaces by using the solution to the given LMI conditions. And, we consider the problem of designing linear sliding surfaces guaranteeing pole placement constraints or $H_2/H_infty$ performances. Finally, we give a design example in order to show the effectiveness of our method.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.784-787
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• 2002

The NURBS surfaces are widely employed for exchanging geometric models between different CAD/CAE systems. However if the input NURBS surfaces are poorly parameterized, most surface meshing algorithms may fail or the constructed meshes can be ill-conditioned. In this paper presents a new method is presented that can generate well conditioned meshes even on poorly parameterized NURBS surfaces by regenerating NURBS surfaces. To begin with, adequate Points are sample on original poorly parameterized surfaces and new surfaces are created by interpolating these points. And then. mesh generation is performed on new surfaces. With this method, models with poorly parameterized NURBS surfaces can be meshed successfully.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.7
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• pp.547-555
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• 2003

This paper presents an adaptive control against uncertainties in tail-controlled STT (Skid-to-Turn) missiles. We derive an analytic uncertainty model from a parametric affine missile model developed by the authors. Based on this analytic model, an adaptive feedback linearizing control law accompanied by a sliding mode control law is proposed. We provide analyses of stability and output tracking performance of the overall adaptive missile system. The performance and validity of the proposed adaptive control scheme are demonstrated by simulation.

• Annual Conference of KIPS
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• 2014.04a
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• pp.441-444
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• 2014

인터넷의 보급에 따른 신속정확하고 편리한 정보처리의 장점에도 불구하고 최근 들어 급증하고 있는 보안 관련 사고들로 인하여 개인정보 및 기업정보의 관리에 대한 대책 마련이 시급한 가운데 있다. 그 중에서도 SQL 삽입 공격에 의한 악의적인 관리자 권한 획득 및 비정상적인 로그인 등으로 인하여 많은 피해가 발생하고 있다. 현재 SQL Injection에 관련된 대부분의 연구는 공격을 탐지하는 방법에 초점이 맞추어져 있다. 본 논문에서는 프로그램 코드를 분석하여 따옴표가 포함된 취약한 인라인 SQL 쿼리 구문을 찾아서 매개변수화된 쿼리로 변경하는 기능을 제공함으로써 근본적인 해결책을 찾고자 하였으며 Java, C#.net 등 다양한 언어를 지원하여 개발 업무에서의 활용성을 높이고자 하였다.

• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.67-73
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• 2019

본 연구는 기업가정신 교육을 받은 청소년의 창업역량이 창업가적 프로세스에 미치는 효과를 기업가정신의 매개를 중심으로 검증하였다. 기업가정신 교육은 주식회사 슘페터 청소년 기업가정신 프로그램을 활용하여 2018년 10월부터 2018년 12월까지 특성화고등학교 1학년 학생 303명을 대상으로 실시하였다. 슘페터 기업가정신 프로그램 커리큘럼의 학습 목표 및 활동내용을 분석을 통해 다양한 키워드를 도출하여 최종적으로 11개의 변수를 채택하여 사전 사후 설문을 실시하였다. 기업가정신 교육을 통해 창업역량(창의성, 기회발견, 문제해결력) 이 높아지고 이를 통해 학생들의 창업가적 프로세스(자기효능감, 목표설정)에 미치는 영향을 분석한다. 또한 청소년의 창업역량이 생기면 창업의지와 창업행동에 영향을 줄 것이라고 가정했다. 이를 바탕으로 효과적인 기업가정신 및 창업교육 활성화 방안을 제시하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5130-5139
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• 2012

The research purposes is apply to the expectation theory for the China's entrepreneurs want to know the relations model among the entrepreneurial activities, performance and growth intentions. According to the study, all of hypothesis have been suggested. In other words, entrepreneurial activities, growth intentions and performance effects and growth intentions show the mediated effect in the research.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.51-63
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• 2000

Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.1-13
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• 2022

Although the number of venture start-ups has increased significantly, it is difficult to judge the success or failure based on short-term performance alone. The survival of a company cannot be guaranteed if it does not show sustainable growth prospects. As a growth factor for venture companies, the level of technology commercialization capability and competitive strategies are considered important. Recently, the emergence of innovative business models is creating new opportunities and driving the growth of numerous venture start-ups. This study tried to investigate the mediating effect of business model innovation in the relationship between technology commercialization capability, competitive strategy and the growth prospects of venture companies. For this, empirical analysis was conducted using the original data of the Research on the Precision Status of Venture Firms 2021. As a result, production, manufacturing, marketing capability, cost leadership and product differentiation had a positive(+) effect on growth prospects. The mediating effect of business model innovation between all factors except for manufacturing capacity and growth prospects was verified. This study expanded the scope of research by shedding new light on the factors influencing the long-term growth prospects of venture companies and revealing business model innovation as a new mediating variable. In future research, it is necessary to develop an objective measurement tool and to identify differences according to industrial characteristics.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.11
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• pp.1714-1725
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• 1993

This paper analyzes the properties of such algorithm that corresponds to the nonlinear adaptive algorithm with additional update terms, parameterized by the scalar factors a1, a2, a3 and Presents its structure. The analysis of convergence leads to eigenvalues of the transition matrix for the mean weight vector. Regions in which the algorithm becomes stable are demonstrated. The time constant is derived and the computational complexities of MLMS algorithms are compared with those of the conventional LMS, sign, LFG, and QFG algorithms. The properties of convergence in the mean square are analyzed and the expressions of the mean square recursion and the excess mean square error are derived. The necessary condition for the CFG algorithm to be stable is attained. In the computer simulation applied to the system identification the CFG algorithm has the more computation complexities but the faster convergence speed than LMS, LFG and QFG algorithms.