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Do You Feel Free Now? Korean Women in an Online Adult Community
Joonseong LEE 이화여자대학교 아시아여성학센터 2008 Asian Journal of Women's Studies(AJWS) Vol.14 No.2
This study explores the dynamic tensions of power in the emergence of new sexual discourses by examining a Korean online adult community. The Korean Internet culture illustrates considerable change concerning the discursive formation of sexuality. Many women participate in the discourse of sexuality through active participation in adult on-line communities. Given that women’s social status in Korea has been prescribed by its patriarchal standards, and because of these circumstances, sexual discourse has been the exclusive social privilege of men, the emergence of a new sexual discourse deserves attention.
Mesh Generation System for Three-Dimensional FE Analysis Simulation of Micro Actuators
JoonSeong Lee,YoonJong Choi,EunChul Lee,HyoungTak Kim 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
This paper describes a new automated mesh generation system for micromachines whose sise range 10?? to 10?³ m. This mesh generation process consists of three subprocesses: (a) definition of geometric model, (b) generation of nodes, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional solid structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Voronoi diagram method is introduced as a basic tool for element generation. Practical performances of the present system are demonstrated through several mesh generations for threedimensional micro actuators.
Formulation of the Neural Network for Implicit Constitutive Model (Ⅱ)
Joon-Seong Lee,Eun-Chul Lee,Tomonari Furukawa 한국지능시스템학회 2008 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.8 No.4
In this paper, two neural networks as a material model, which are based on the state-space method, have been proposed. One outputs the rates of inelastic strain and material internal variables whereas the outputs of the other are the next state of the inelastic strain and material internal variables. Both the neural networks were trained using input-output data generated from Chaboche's model and successfully converged. The former neural network could reproduce the original stress-strain curve. The neural network also demonstrated its ability of interpolation by generating untrained curve. It was also found that the neural network can extrapolate in close proximity to the training data.
Joon-Seong Lee,Ho-Jeong Lee,Tomonari Furukawa 한국지능시스템학회 2009 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.9 No.3
Up to now, a number of models have been proposed and discussed to describe a wide range of inelastic behaviors of materials. The fatal problem of using such models is however the existence of model errors, and the problem remains inevitably as far as a material model is written explicitly. In this paper, the authors define the implicit constitutive model and propose an implicit viscoplastic constitutive model using neural networks. In their modeling, inelastic material behaviors are generalized in a state space representation and the state space form is constructed by a neural network using input-output data sets. A technique to extract the input-output data from experimental data is also described. The proposed model was first generated from pseudo-experimental data created by one of the widely used constitutive models and was found to replace the model well. Then, having been tested with the actual experimental data, the proposed model resulted in a negligible amount of model errors indicating its superiority to all the existing explicit models in accuracy.
Development of High-Performance FEM Modeling System Based on Fuzzy Knowledge Processing
Joon-Seong Lee 한국지능시스템학회 2004 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.4 No.2
This paper describes an automatic finite element (FE) mesh generation for three-dimensional structures consisting of free-form surfaces. This mesh generation process consists of three subprocesses: (a) definition of geometric model, (b) generation of nodes, and (c) generation of elements. One of commercial solid modelers is employed for three-dimensional solid structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Voronoi diagram method is introduced as a basic tool for element generation. Automatic generation of FE meshes for three-dimensional solid structures holds great benefits for analyses. Practical performances of the present system are demonstrated through several mesh generations for three-dimensional complex geometry.
Inelastic Constitutive Modeling for Viscoplastcity Using Neural Networks
Joon-Seong Lee,Yang-Chang Lee,Tomonari Furukaw 한국지능시스템학회 2005 한국지능시스템학회논문지 Vol.15 No.2
Up to now, a number of models have been proposed and discussed to describe a wide range of inelastic behaviors of materials. The fatal problem of using such models is however the existence of model errors, and the problem remains inevitably as far as a material model is written explicitly. In this paper, the authors define the implicit constitutive model and propose an implicit viscoplastic constitutive model using neural networks. In their modeling, inelastic material behaviors are generalized in a state space representation and the state space form is constructed by a neural network using input-output data sets. A technique to extract the input-output data from experimental data is also described. The proposed model was first generated from pseudo-experimental data created by one of the widely used constitutive models and was found to replace the model well. Then, having been tested with the actual experimental data, the proposed model resulted in a negligible amount of model errors indicating its superiority to all the existing explicit models in accuracy.