• Korean Journal of Child Studies
• /
• v.29 no.5
• /
• pp.243-269
• /
• 2008

The role of domain-specific causal mechanism information and domain-general conditional probability in young children's causal reasoning on physics and psychology was investigated with the participation of 121 3-year-olds and 121 4-year-olds recruited from seven child care centers in Seoul, Kyonggi Province, and Busan. Children watched moving pictures on physical and psychological phenomena, and were asked to choose an appropriate cause and justify their choice. Results showed that young children's causal reasoning differed depending on domain-specific mechanism. In addition, their causal reasoning on physics and psychology differed by the developmental level of causal mechanism. The interaction of domain-specific mechanism and domain-general conditional probability influenced children's causal reasoning : evident conditional probability between domain-appropriate cause and effect helped children make more inferences based on domain-specific causal mechanism.

• Journal of Families and Better Life
• /
• v.26 no.5
• /
• pp.333-354
• /
• 2008

This study aimed to investigate the role of domain-specific causal mechanism information and domain-general conditional probability in young children's causal reasoning on psychology and biology. Participants were 121 3-year-olds and 121 4-year-olds recruited from seven childcare centers in Seoul, Kyonggi Province, and Busan. After participants watched moving pictures on psychological and biological phenomena, they were asked to choose appropriate cause and justify their choices. Results of this study were as follows: First, young children made different inferences according to domain-specific causal mechanisms. Second, the developmental level of causal mechanisms has a gap between psychology and biology, and biological knowledge was proved to be separate from psychological knowledge during the preschool period. Third, young children's causal reasoning was different depending on the interaction effect of domain-specific mechanisms and domain-general conditional probability: children could make more inferences based on domain-specific causal mechanisms if conditional probability between domain-appropriate cause and effect was evident. To conclude, it can be inferred that the role of domain-specific causal mechanisms and domain-general conditional probability is not competitive but complementary in young children's causal reasoning.

• Journal of the Korean Society of Earth Science Education
• /
• v.8 no.3
• /
• pp.259-266
• /
• 2015

This study aims to analyze a selective examination for the gifted and talented from a domain-general and special standpoint. For this, we analyzed gifted and talented test results carried out by Gifted and Talented Education institute affiliated with the university of Education located in the central region of South Korea. This test consisted of three sections which are giftedness in the first round, academic aptitude in the second round and interview in the last round. I conducted the analysis of variance of the giftedness test result to the gifted and talented group in each subject from the domain-general point of view. As a result, the each group was not significant. This means that the gifted and talented in each subject has giftedness from the domain-general viewpoint. Secondly, I implemented the analysis of correlation among three test such as giftedness, academic aptitude and interview conducted during the selective process for the gifted and talented. The result was that they had a low or no correlations between them and were not significant. This demonstrated that each test checked a different area. That is, we came to realize that the first, second and third test evaluates a different area and in particular, with the result that the first and second test had a low or no correlations between both of them we realized that they evaluated a different area from a domain-special standpoint. The purpose of this study is meaningful to investigate in terms of how the selective test for the gifted and talented is conducted from a domain-general and special standpoint as a recent study viewpoint about the gifted and talented along with creativity. It is too limited to generalize this result because this test was sampled by one region but, this study indicates that we should take a domain-general and special standpoint into account when it comes to selection for the gifted and talented.

• International Journal of CAD/CAM
• /
• v.8 no.1
• /
• pp.29-36
• /
• 2009

Domain mapping is a bijective transformation of one domain to another, usually from a complicated general domain to a chosen convex domain. This is directly useful in many application problems like shape modeling, morphing, texture mapping, shape matching, remeshing, path planning etc. A new approach considering the domain as made up of structural elements, like membranes or trusses, is developed and implemented using the nonlinear finite element formulation. The mapping is performed in two stages, boundary mapping and inside mapping. The boundary of the 3-D domain is mapped to the surface of a convex domain (in this case, a sphere) in the first stage and then the displacement/distortion of this boundary is used as boundary conditions for mapping the interior of the domain in the second stage. This is a general method and it develops a bijective mapping in all cases with judicious choice of material properties and finite element analysis. The consistent global parameterization produced by this method for an arbitrary genus zero closed surface is useful in shape modeling. Results are convincing to accept this finite element structural approach for domain mapping as a good method for many purposes.

• Journal of Information Processing Systems
• /
• v.17 no.5
• /
• pp.867-878
• /
• 2021

In context awareness and user intention tasks, dataset construction is expensive because specific domain data are required. Although pretraining with a large corpus can effectively resolve the issue of lack of data, it ignores domain knowledge. Herein, we concentrate on data domain knowledge while addressing data scarcity and accordingly propose a multi-channel long short-term memory (LSTM). Because multi-channel LSTM integrates pretrained vectors such as task and general knowledge, it effectively prevents catastrophic forgetting between vectors of task and general knowledge to represent the context as a set of features. To evaluate the proposed model with reference to the baseline model, which is a single-channel LSTM, we performed two tasks: voice phishing with context awareness and movie review sentiment classification. The results verified that multi-channel LSTM outperforms single-channel LSTM in both tasks. We further experimented on different multi-channel LSTMs depending on the domain and data size of general knowledge in the model and confirmed that the effect of multi-channel LSTM integrating the two types of knowledge from downstream task data and raw data to overcome the lack of data.

• The Pure and Applied Mathematics
• /
• v.27 no.1
• /
• pp.43-50
• /
• 2020

We investigate the domain of influence of the local volatility function on the solutions of the general Black-Scholes model. First, we generate the sample paths of underlying asset using the Monte Carlo simulation. Next, we define the inner and outer domains to find the effective volatility region. To confirm the effect of the inner domain, we use the root mean square error for the European call option prices, and then change the values of volatility in the proposed domain. The computational experiments confirm that there is an effective region which dominates the option pricing.

• Communications of the Korean Mathematical Society
• /
• v.22 no.3
• /
• pp.419-428
• /
• 2007

In this paper, we will investigate the Hessian geometry of the homogeneous domain over the hypersurface given by a function F : $\mathbb{R}^n{\rightarrow}\mathbb{R}$ with ${\mid}{\det}\;DdF\mid=1$.

• Journal of the Korean Mathematical Society
• /
• v.60 no.2
• /
• pp.407-464
• /
• 2023

Let R be a commutative ring with identity. The structure theorem says that R is a PIR (resp., UFR, general ZPI-ring, π-ring) if and only if R is a finite direct product of PIDs (resp., UFDs, Dedekind domains, π-domains) and special primary rings. All of these four types of integral domains are Krull domains, so motivated by the structure theorem, we study the prime factorization of ideals in a ring that is a finite direct product of Krull domains and special primary rings. Such a ring will be called a general Krull ring. It is known that Krull domains can be characterized by the star operations v or t as follows: An integral domain R is a Krull domain if and only if every nonzero proper principal ideal of R can be written as a finite v- or t-product of prime ideals. However, this is not true for general Krull rings. In this paper, we introduce a new star operation u on R, so that R is a general Krull ring if and only if every proper principal ideal of R can be written as a finite u-product of prime ideals. We also study several ring-theoretic properties of general Krull rings including Kaplansky-type theorem, Mori-Nagata theorem, Nagata rings, and Noetherian property.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.8
• /
• pp.3760-3767
• /
• 2013

The purpose of this study is to investigate the relationship among domain-general creativity, linguistic intelligence, Korean language grade and linguistic creativity of elementary school student. And to confirm the relative predictive power of domain-general creativity variables in predicting elementary school students' linguistic creativity. The instruments used in this study were 'TTCT', 'Essay writing' and 'Linguistic intelligence ' and school grade of Korean language. Self-reported response data on these instruments from 338, 4th grade elementary school students in Seoul were analyzed. The data were analyzed with descriptive statistics, Pearson correlations, multiple stepwise regression analysis and ANOVA by using SPSS 18.0. The major results of this study were as follows; First, the correlations among domain-general creativity, Korean language grade and linguistic creativity were significant. Second, Abstractness of title were the best predictor of linguistic creativity in elementary school students.

• 제어로봇시스템학회:학술대회논문집
• /
• 1993.10a
• /
• pp.760-765
• /
• 1993

A multivariable learning control is designed in frequency domain. A general to of feedback assisted learning scheme is considered and an inverse model based learning algorithm is derived through convergence analysis in frequency domain. Performance of the proposed control method is evaluated through numerical simulation.