• Korean Journal of Culture and Social Issue
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• v.8 no.2
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• pp.33-49
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• 2002

The present study investigated the relationship among the level of family differentiation, quality of family relationship, and intimacy with their partners in 381 adult children. First, this study examined the relationship between the level of family differentiation and quality of family relationship. The result showed that the level of family differentiation was positively and significantly correlated to quality of family relationship. This finding indicated that family differentiation may be used for an objective and useful index to measure the dynamics of emotional system and the level of family-of-origin emotional health. Second, the influence of the family of origin was studied through exploring the relationship between the level of differentiation of family of origin, and adult children's intimacy with their partners. It was found that the family differentiation level was positively and significantly related to adult children's intimacy with their partners at each subsystem, but family differentiation levels of parents more influenced on adult male's intimacy than on adult female's intimacy with their partners.

• Journal of applied mathematics & informatics
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• v.31 no.1_2
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• pp.111-118
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• 2013

External excitations are employed to investigate properties of optical media, with measurement data often analyzed via linear response theory. In this respect, external forcing is modeled here by well-known Poisson and negative-binomial distributions. Ensuing dynamics is examined with a special attention to the relative decay rates of damped harmonic oscillators to such external forcing, along with its relationship to other physical phenomena.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1569-1572
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• 1997

In this paper, we present an associative memory network (AMN) controller for dynamic robot control. The purpose of using AMN is to reduce the size of required memory in storing and recalling large of daa representing input relationship of nonlinear functions. With the capability AMN can be used to dynamic robot control, which has nonlinear properties inherently. The proposed AMN control scheme has advantages for the inverse dynamics learning no limitatiion of inpur range, and insensitive of payload change. Computer simulations show the effectiveness and feasibility of proposed scheme.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.1-30
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• 2003

This study attempts to understand factors influencing the persistence of companie's outsourcing arrangements using the techniques of survival analysis. It provides an insight into the dynamics of outsourcing relationships between clients and vendors. This is particularly relevant considering that current IS sourcing arrangements are strategic and long term, and require close interdependent relationships between the client and the vendor.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.289-292
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• 1994

In this paper, the equations of motion are constructed systematically for multibody systems containing closed kinematic loops. For the displacement analysis of the closed loops, we introduce a new mixed coordinates by adding to the reference coordinates, relative coordinates corresponding to the degrees of freedom of the system. The mixed coordinates makes easy derive the explicit closed form solution. The explicit functional relationship expressed in closed form is of great advantages in system dimension reduction and no need of an iterative scheme for the displacement analysis. This forms of equation are built up in the general purpose computer program for the kinematic and dynamic analysis of multiboty systems.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.936-939
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• 1996

In this paper, two specially designed associative mapping memories, called Associative Mapping Elements(AME) and Multiple-Digit Overlapping AME(MDO-AME), are presented for learning of nonlinear functions including kinematics and dynamics of robot manipulators. The proposed associative mapping memories consist of associative mapping rules(AMR) and weight update rules(WUR) which guarantee generalization and specialization of input-output relationship of learned nonlinear functions. Two simulation results, one for supervised learning and the other for unsupervised learning, are given to demonstrate the effectiveness of the proposed associative mapping memories.

• 한국초전도학회:학술대회논문집
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• 2008.08a
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• pp.6-6
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• 2008

• Research in Mathematical Education
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• v.1 no.1
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• pp.1-5
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• 1997

We discuss some aspects of mathematics for teachers such as algebra for teachers, geometry for teachers, statistics for teachers, etc., which can be taught in teacher preparation courses. Mathematics for teachers should consider the followings: (a) Various solutions for a problem, (b) The dynamics of a problem introduced by change of condition, (c) Relationship of mathematics to real life, (d) Mathematics history and historical issues, (e) The difference between pure mathematics and pedagogical mathematics, (f) Understanding of the theoretical backgrounds, and (g) Understanding advanced mathematics.

• Kyungpook Mathematical Journal
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• v.47 no.4
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• pp.601-608
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• 2007

In this paper we introduce a discrete model of brucellosis happened in Korean livestock farms and numerically analyze its dynamical features. To do it, we consider parameters data supported by Livestock Cooperatives. To control brucellosis, we investigate the relationship among key parameters, as applications of our model. We hope that our model may be used to reduce brucellosis in Korean livestock farms.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.123-144
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• 2008

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge. Further, such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in an increase in productivity, customer satisfaction, profit generation, and.